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Proclivity ID
18818001
Unpublish
Specialty Focus
Mental Health
Vaccines
Addiction Medicine
Geriatrics
Negative Keywords
gaming
gambling
compulsive behaviors
ammunition
assault rifle
black jack
Boko Haram
bondage
child abuse
cocaine
Daech
drug paraphernalia
explosion
gun
human trafficking
ISIL
ISIS
Islamic caliphate
Islamic state
mixed martial arts
MMA
molestation
national rifle association
NRA
nsfw
pedophile
pedophilia
poker
porn
pornography
psychedelic drug
recreational drug
sex slave rings
slot machine
terrorism
terrorist
Texas hold 'em
UFC
substance abuse
abuseed
abuseer
abusees
abuseing
abusely
abuses
aeolus
aeolused
aeoluser
aeoluses
aeolusing
aeolusly
aeoluss
ahole
aholeed
aholeer
aholees
aholeing
aholely
aholes
alcohol
alcoholed
alcoholer
alcoholes
alcoholing
alcoholly
alcohols
allman
allmaned
allmaner
allmanes
allmaning
allmanly
allmans
alted
altes
alting
altly
alts
analed
analer
anales
analing
anally
analprobe
analprobeed
analprobeer
analprobees
analprobeing
analprobely
analprobes
anals
anilingus
anilingused
anilinguser
anilinguses
anilingusing
anilingusly
anilinguss
anus
anused
anuser
anuses
anusing
anusly
anuss
areola
areolaed
areolaer
areolaes
areolaing
areolaly
areolas
areole
areoleed
areoleer
areolees
areoleing
areolely
areoles
arian
arianed
arianer
arianes
arianing
arianly
arians
aryan
aryaned
aryaner
aryanes
aryaning
aryanly
aryans
asiaed
asiaer
asiaes
asiaing
asialy
asias
ass
ass hole
ass lick
ass licked
ass licker
ass lickes
ass licking
ass lickly
ass licks
assbang
assbanged
assbangeded
assbangeder
assbangedes
assbangeding
assbangedly
assbangeds
assbanger
assbanges
assbanging
assbangly
assbangs
assbangsed
assbangser
assbangses
assbangsing
assbangsly
assbangss
assed
asser
asses
assesed
asseser
asseses
assesing
assesly
assess
assfuck
assfucked
assfucker
assfuckered
assfuckerer
assfuckeres
assfuckering
assfuckerly
assfuckers
assfuckes
assfucking
assfuckly
assfucks
asshat
asshated
asshater
asshates
asshating
asshatly
asshats
assholeed
assholeer
assholees
assholeing
assholely
assholes
assholesed
assholeser
assholeses
assholesing
assholesly
assholess
assing
assly
assmaster
assmastered
assmasterer
assmasteres
assmastering
assmasterly
assmasters
assmunch
assmunched
assmuncher
assmunches
assmunching
assmunchly
assmunchs
asss
asswipe
asswipeed
asswipeer
asswipees
asswipeing
asswipely
asswipes
asswipesed
asswipeser
asswipeses
asswipesing
asswipesly
asswipess
azz
azzed
azzer
azzes
azzing
azzly
azzs
babeed
babeer
babees
babeing
babely
babes
babesed
babeser
babeses
babesing
babesly
babess
ballsac
ballsaced
ballsacer
ballsaces
ballsacing
ballsack
ballsacked
ballsacker
ballsackes
ballsacking
ballsackly
ballsacks
ballsacly
ballsacs
ballsed
ballser
ballses
ballsing
ballsly
ballss
barf
barfed
barfer
barfes
barfing
barfly
barfs
bastard
bastarded
bastarder
bastardes
bastarding
bastardly
bastards
bastardsed
bastardser
bastardses
bastardsing
bastardsly
bastardss
bawdy
bawdyed
bawdyer
bawdyes
bawdying
bawdyly
bawdys
beaner
beanered
beanerer
beaneres
beanering
beanerly
beaners
beardedclam
beardedclamed
beardedclamer
beardedclames
beardedclaming
beardedclamly
beardedclams
beastiality
beastialityed
beastialityer
beastialityes
beastialitying
beastialityly
beastialitys
beatch
beatched
beatcher
beatches
beatching
beatchly
beatchs
beater
beatered
beaterer
beateres
beatering
beaterly
beaters
beered
beerer
beeres
beering
beerly
beeyotch
beeyotched
beeyotcher
beeyotches
beeyotching
beeyotchly
beeyotchs
beotch
beotched
beotcher
beotches
beotching
beotchly
beotchs
biatch
biatched
biatcher
biatches
biatching
biatchly
biatchs
big tits
big titsed
big titser
big titses
big titsing
big titsly
big titss
bigtits
bigtitsed
bigtitser
bigtitses
bigtitsing
bigtitsly
bigtitss
bimbo
bimboed
bimboer
bimboes
bimboing
bimboly
bimbos
bisexualed
bisexualer
bisexuales
bisexualing
bisexually
bisexuals
bitch
bitched
bitcheded
bitcheder
bitchedes
bitcheding
bitchedly
bitcheds
bitcher
bitches
bitchesed
bitcheser
bitcheses
bitchesing
bitchesly
bitchess
bitching
bitchly
bitchs
bitchy
bitchyed
bitchyer
bitchyes
bitchying
bitchyly
bitchys
bleached
bleacher
bleaches
bleaching
bleachly
bleachs
blow job
blow jobed
blow jober
blow jobes
blow jobing
blow jobly
blow jobs
blowed
blower
blowes
blowing
blowjob
blowjobed
blowjober
blowjobes
blowjobing
blowjobly
blowjobs
blowjobsed
blowjobser
blowjobses
blowjobsing
blowjobsly
blowjobss
blowly
blows
boink
boinked
boinker
boinkes
boinking
boinkly
boinks
bollock
bollocked
bollocker
bollockes
bollocking
bollockly
bollocks
bollocksed
bollockser
bollockses
bollocksing
bollocksly
bollockss
bollok
bolloked
bolloker
bollokes
bolloking
bollokly
bolloks
boner
bonered
bonerer
boneres
bonering
bonerly
boners
bonersed
bonerser
bonerses
bonersing
bonersly
bonerss
bong
bonged
bonger
bonges
bonging
bongly
bongs
boob
boobed
boober
boobes
boobies
boobiesed
boobieser
boobieses
boobiesing
boobiesly
boobiess
boobing
boobly
boobs
boobsed
boobser
boobses
boobsing
boobsly
boobss
booby
boobyed
boobyer
boobyes
boobying
boobyly
boobys
booger
boogered
boogerer
boogeres
boogering
boogerly
boogers
bookie
bookieed
bookieer
bookiees
bookieing
bookiely
bookies
bootee
booteeed
booteeer
booteees
booteeing
booteely
bootees
bootie
bootieed
bootieer
bootiees
bootieing
bootiely
booties
booty
bootyed
bootyer
bootyes
bootying
bootyly
bootys
boozeed
boozeer
boozees
boozeing
boozely
boozer
boozered
boozerer
boozeres
boozering
boozerly
boozers
boozes
boozy
boozyed
boozyer
boozyes
boozying
boozyly
boozys
bosomed
bosomer
bosomes
bosoming
bosomly
bosoms
bosomy
bosomyed
bosomyer
bosomyes
bosomying
bosomyly
bosomys
bugger
buggered
buggerer
buggeres
buggering
buggerly
buggers
bukkake
bukkakeed
bukkakeer
bukkakees
bukkakeing
bukkakely
bukkakes
bull shit
bull shited
bull shiter
bull shites
bull shiting
bull shitly
bull shits
bullshit
bullshited
bullshiter
bullshites
bullshiting
bullshitly
bullshits
bullshitsed
bullshitser
bullshitses
bullshitsing
bullshitsly
bullshitss
bullshitted
bullshitteded
bullshitteder
bullshittedes
bullshitteding
bullshittedly
bullshitteds
bullturds
bullturdsed
bullturdser
bullturdses
bullturdsing
bullturdsly
bullturdss
bung
bunged
bunger
bunges
bunging
bungly
bungs
busty
bustyed
bustyer
bustyes
bustying
bustyly
bustys
butt
butt fuck
butt fucked
butt fucker
butt fuckes
butt fucking
butt fuckly
butt fucks
butted
buttes
buttfuck
buttfucked
buttfucker
buttfuckered
buttfuckerer
buttfuckeres
buttfuckering
buttfuckerly
buttfuckers
buttfuckes
buttfucking
buttfuckly
buttfucks
butting
buttly
buttplug
buttpluged
buttpluger
buttpluges
buttpluging
buttplugly
buttplugs
butts
caca
cacaed
cacaer
cacaes
cacaing
cacaly
cacas
cahone
cahoneed
cahoneer
cahonees
cahoneing
cahonely
cahones
cameltoe
cameltoeed
cameltoeer
cameltoees
cameltoeing
cameltoely
cameltoes
carpetmuncher
carpetmunchered
carpetmuncherer
carpetmuncheres
carpetmunchering
carpetmuncherly
carpetmunchers
cawk
cawked
cawker
cawkes
cawking
cawkly
cawks
chinc
chinced
chincer
chinces
chincing
chincly
chincs
chincsed
chincser
chincses
chincsing
chincsly
chincss
chink
chinked
chinker
chinkes
chinking
chinkly
chinks
chode
chodeed
chodeer
chodees
chodeing
chodely
chodes
chodesed
chodeser
chodeses
chodesing
chodesly
chodess
clit
clited
cliter
clites
cliting
clitly
clitoris
clitorised
clitoriser
clitorises
clitorising
clitorisly
clitoriss
clitorus
clitorused
clitoruser
clitoruses
clitorusing
clitorusly
clitoruss
clits
clitsed
clitser
clitses
clitsing
clitsly
clitss
clitty
clittyed
clittyer
clittyes
clittying
clittyly
clittys
cocain
cocaine
cocained
cocaineed
cocaineer
cocainees
cocaineing
cocainely
cocainer
cocaines
cocaining
cocainly
cocains
cock
cock sucker
cock suckered
cock suckerer
cock suckeres
cock suckering
cock suckerly
cock suckers
cockblock
cockblocked
cockblocker
cockblockes
cockblocking
cockblockly
cockblocks
cocked
cocker
cockes
cockholster
cockholstered
cockholsterer
cockholsteres
cockholstering
cockholsterly
cockholsters
cocking
cockknocker
cockknockered
cockknockerer
cockknockeres
cockknockering
cockknockerly
cockknockers
cockly
cocks
cocksed
cockser
cockses
cocksing
cocksly
cocksmoker
cocksmokered
cocksmokerer
cocksmokeres
cocksmokering
cocksmokerly
cocksmokers
cockss
cocksucker
cocksuckered
cocksuckerer
cocksuckeres
cocksuckering
cocksuckerly
cocksuckers
coital
coitaled
coitaler
coitales
coitaling
coitally
coitals
commie
commieed
commieer
commiees
commieing
commiely
commies
condomed
condomer
condomes
condoming
condomly
condoms
coon
cooned
cooner
coones
cooning
coonly
coons
coonsed
coonser
coonses
coonsing
coonsly
coonss
corksucker
corksuckered
corksuckerer
corksuckeres
corksuckering
corksuckerly
corksuckers
cracked
crackwhore
crackwhoreed
crackwhoreer
crackwhorees
crackwhoreing
crackwhorely
crackwhores
crap
craped
craper
crapes
craping
craply
crappy
crappyed
crappyer
crappyes
crappying
crappyly
crappys
cum
cumed
cumer
cumes
cuming
cumly
cummin
cummined
cumminer
cummines
cumming
cumminged
cumminger
cumminges
cumminging
cummingly
cummings
cummining
cumminly
cummins
cums
cumshot
cumshoted
cumshoter
cumshotes
cumshoting
cumshotly
cumshots
cumshotsed
cumshotser
cumshotses
cumshotsing
cumshotsly
cumshotss
cumslut
cumsluted
cumsluter
cumslutes
cumsluting
cumslutly
cumsluts
cumstain
cumstained
cumstainer
cumstaines
cumstaining
cumstainly
cumstains
cunilingus
cunilingused
cunilinguser
cunilinguses
cunilingusing
cunilingusly
cunilinguss
cunnilingus
cunnilingused
cunnilinguser
cunnilinguses
cunnilingusing
cunnilingusly
cunnilinguss
cunny
cunnyed
cunnyer
cunnyes
cunnying
cunnyly
cunnys
cunt
cunted
cunter
cuntes
cuntface
cuntfaceed
cuntfaceer
cuntfacees
cuntfaceing
cuntfacely
cuntfaces
cunthunter
cunthuntered
cunthunterer
cunthunteres
cunthuntering
cunthunterly
cunthunters
cunting
cuntlick
cuntlicked
cuntlicker
cuntlickered
cuntlickerer
cuntlickeres
cuntlickering
cuntlickerly
cuntlickers
cuntlickes
cuntlicking
cuntlickly
cuntlicks
cuntly
cunts
cuntsed
cuntser
cuntses
cuntsing
cuntsly
cuntss
dago
dagoed
dagoer
dagoes
dagoing
dagoly
dagos
dagosed
dagoser
dagoses
dagosing
dagosly
dagoss
dammit
dammited
dammiter
dammites
dammiting
dammitly
dammits
damn
damned
damneded
damneder
damnedes
damneding
damnedly
damneds
damner
damnes
damning
damnit
damnited
damniter
damnites
damniting
damnitly
damnits
damnly
damns
dick
dickbag
dickbaged
dickbager
dickbages
dickbaging
dickbagly
dickbags
dickdipper
dickdippered
dickdipperer
dickdipperes
dickdippering
dickdipperly
dickdippers
dicked
dicker
dickes
dickface
dickfaceed
dickfaceer
dickfacees
dickfaceing
dickfacely
dickfaces
dickflipper
dickflippered
dickflipperer
dickflipperes
dickflippering
dickflipperly
dickflippers
dickhead
dickheaded
dickheader
dickheades
dickheading
dickheadly
dickheads
dickheadsed
dickheadser
dickheadses
dickheadsing
dickheadsly
dickheadss
dicking
dickish
dickished
dickisher
dickishes
dickishing
dickishly
dickishs
dickly
dickripper
dickrippered
dickripperer
dickripperes
dickrippering
dickripperly
dickrippers
dicks
dicksipper
dicksippered
dicksipperer
dicksipperes
dicksippering
dicksipperly
dicksippers
dickweed
dickweeded
dickweeder
dickweedes
dickweeding
dickweedly
dickweeds
dickwhipper
dickwhippered
dickwhipperer
dickwhipperes
dickwhippering
dickwhipperly
dickwhippers
dickzipper
dickzippered
dickzipperer
dickzipperes
dickzippering
dickzipperly
dickzippers
diddle
diddleed
diddleer
diddlees
diddleing
diddlely
diddles
dike
dikeed
dikeer
dikees
dikeing
dikely
dikes
dildo
dildoed
dildoer
dildoes
dildoing
dildoly
dildos
dildosed
dildoser
dildoses
dildosing
dildosly
dildoss
diligaf
diligafed
diligafer
diligafes
diligafing
diligafly
diligafs
dillweed
dillweeded
dillweeder
dillweedes
dillweeding
dillweedly
dillweeds
dimwit
dimwited
dimwiter
dimwites
dimwiting
dimwitly
dimwits
dingle
dingleed
dingleer
dinglees
dingleing
dinglely
dingles
dipship
dipshiped
dipshiper
dipshipes
dipshiping
dipshiply
dipships
dizzyed
dizzyer
dizzyes
dizzying
dizzyly
dizzys
doggiestyleed
doggiestyleer
doggiestylees
doggiestyleing
doggiestylely
doggiestyles
doggystyleed
doggystyleer
doggystylees
doggystyleing
doggystylely
doggystyles
dong
donged
donger
donges
donging
dongly
dongs
doofus
doofused
doofuser
doofuses
doofusing
doofusly
doofuss
doosh
dooshed
doosher
dooshes
dooshing
dooshly
dooshs
dopeyed
dopeyer
dopeyes
dopeying
dopeyly
dopeys
douchebag
douchebaged
douchebager
douchebages
douchebaging
douchebagly
douchebags
douchebagsed
douchebagser
douchebagses
douchebagsing
douchebagsly
douchebagss
doucheed
doucheer
douchees
doucheing
douchely
douches
douchey
doucheyed
doucheyer
doucheyes
doucheying
doucheyly
doucheys
drunk
drunked
drunker
drunkes
drunking
drunkly
drunks
dumass
dumassed
dumasser
dumasses
dumassing
dumassly
dumasss
dumbass
dumbassed
dumbasser
dumbasses
dumbassesed
dumbasseser
dumbasseses
dumbassesing
dumbassesly
dumbassess
dumbassing
dumbassly
dumbasss
dummy
dummyed
dummyer
dummyes
dummying
dummyly
dummys
dyke
dykeed
dykeer
dykees
dykeing
dykely
dykes
dykesed
dykeser
dykeses
dykesing
dykesly
dykess
erotic
eroticed
eroticer
erotices
eroticing
eroticly
erotics
extacy
extacyed
extacyer
extacyes
extacying
extacyly
extacys
extasy
extasyed
extasyer
extasyes
extasying
extasyly
extasys
fack
facked
facker
fackes
facking
fackly
facks
fag
faged
fager
fages
fagg
fagged
faggeded
faggeder
faggedes
faggeding
faggedly
faggeds
fagger
fagges
fagging
faggit
faggited
faggiter
faggites
faggiting
faggitly
faggits
faggly
faggot
faggoted
faggoter
faggotes
faggoting
faggotly
faggots
faggs
faging
fagly
fagot
fagoted
fagoter
fagotes
fagoting
fagotly
fagots
fags
fagsed
fagser
fagses
fagsing
fagsly
fagss
faig
faiged
faiger
faiges
faiging
faigly
faigs
faigt
faigted
faigter
faigtes
faigting
faigtly
faigts
fannybandit
fannybandited
fannybanditer
fannybandites
fannybanditing
fannybanditly
fannybandits
farted
farter
fartes
farting
fartknocker
fartknockered
fartknockerer
fartknockeres
fartknockering
fartknockerly
fartknockers
fartly
farts
felch
felched
felcher
felchered
felcherer
felcheres
felchering
felcherly
felchers
felches
felching
felchinged
felchinger
felchinges
felchinging
felchingly
felchings
felchly
felchs
fellate
fellateed
fellateer
fellatees
fellateing
fellately
fellates
fellatio
fellatioed
fellatioer
fellatioes
fellatioing
fellatioly
fellatios
feltch
feltched
feltcher
feltchered
feltcherer
feltcheres
feltchering
feltcherly
feltchers
feltches
feltching
feltchly
feltchs
feom
feomed
feomer
feomes
feoming
feomly
feoms
fisted
fisteded
fisteder
fistedes
fisteding
fistedly
fisteds
fisting
fistinged
fistinger
fistinges
fistinging
fistingly
fistings
fisty
fistyed
fistyer
fistyes
fistying
fistyly
fistys
floozy
floozyed
floozyer
floozyes
floozying
floozyly
floozys
foad
foaded
foader
foades
foading
foadly
foads
fondleed
fondleer
fondlees
fondleing
fondlely
fondles
foobar
foobared
foobarer
foobares
foobaring
foobarly
foobars
freex
freexed
freexer
freexes
freexing
freexly
freexs
frigg
frigga
friggaed
friggaer
friggaes
friggaing
friggaly
friggas
frigged
frigger
frigges
frigging
friggly
friggs
fubar
fubared
fubarer
fubares
fubaring
fubarly
fubars
fuck
fuckass
fuckassed
fuckasser
fuckasses
fuckassing
fuckassly
fuckasss
fucked
fuckeded
fuckeder
fuckedes
fuckeding
fuckedly
fuckeds
fucker
fuckered
fuckerer
fuckeres
fuckering
fuckerly
fuckers
fuckes
fuckface
fuckfaceed
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rumprammerer
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rums
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ruskiing
ruskily
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scaged
scager
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scaging
scagly
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scantily
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scantilyer
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scantilying
scantilyly
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schlonged
schlonger
schlonges
schlonging
schlongly
schlongs
scrog
scroged
scroger
scroges
scroging
scrogly
scrogs
scrot
scrote
scroted
scroteed
scroteer
scrotees
scroteing
scrotely
scroter
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scroting
scrotly
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scrotumed
scrotumer
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scrotuming
scrotumly
scrotums
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scruded
scruder
scrudes
scruding
scrudly
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scumer
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scuming
scumly
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seamanly
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seamener
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seamenly
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seduceer
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seduceing
seducely
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semened
semener
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semening
semenly
semens
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shamedamees
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shamedamely
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shit
shite
shiteater
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shiteaterer
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shiteaterly
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shites
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shitheader
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shithousely
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shitly
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shitted
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shittes
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shittly
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shittyly
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shized
shizer
shizes
shizing
shizly
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shooted
shooter
shootes
shooting
shootly
shoots
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sissyed
sissyer
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sissying
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skager
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skaging
skagly
skags
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skanker
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skanking
skankly
skanks
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slaveed
slaveer
slavees
slaveing
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spicer
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spicker
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spickly
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spoogees
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spoogely
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spunked
spunker
spunkes
spunking
spunkly
spunks
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steamyer
steamyes
steamying
steamyly
steamys
stfu
stfued
stfuer
stfues
stfuing
stfuly
stfus
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stiffyes
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stiffyly
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stonedly
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stupidly
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suckes
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suckinger
suckinges
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suckingly
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suckly
sucks
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sumofabiatching
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tarded
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tardes
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tawdryes
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tawdryly
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teabagginger
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teabaggingly
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terded
terder
terdes
terding
terdly
terds
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testee
testeed
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testeely
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testees
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testely
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testesly
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testiclely
testicles
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testised
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testises
testising
testisly
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thruster
thrustes
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thrustly
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thuger
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thugly
thugs
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tinkleed
tinkleer
tinklees
tinkleing
tinklely
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tit
tited
titer
tites
titfuck
titfucked
titfucker
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titfucking
titfuckly
titfucks
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titied
titier
tities
titiing
titily
titing
titis
titly
tits
titsed
titser
titses
titsing
titsly
titss
tittiefucker
tittiefuckered
tittiefuckerer
tittiefuckeres
tittiefuckering
tittiefuckerly
tittiefuckers
titties
tittiesed
tittieser
tittieses
tittiesing
tittiesly
tittiess
titty
tittyed
tittyer
tittyes
tittyfuck
tittyfucked
tittyfucker
tittyfuckered
tittyfuckerer
tittyfuckeres
tittyfuckering
tittyfuckerly
tittyfuckers
tittyfuckes
tittyfucking
tittyfuckly
tittyfucks
tittying
tittyly
tittys
toke
tokeed
tokeer
tokees
tokeing
tokely
tokes
toots
tootsed
tootser
tootses
tootsing
tootsly
tootss
tramp
tramped
tramper
trampes
tramping
tramply
tramps
transsexualed
transsexualer
transsexuales
transsexualing
transsexually
transsexuals
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trashyed
trashyer
trashyes
trashying
trashyly
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tubgirl
tubgirled
tubgirler
tubgirles
tubgirling
tubgirlly
tubgirls
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turded
turder
turdes
turding
turdly
turds
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tushed
tusher
tushes
tushing
tushly
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twater
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twatly
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twatser
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uzied
uzier
uzies
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uzily
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vaged
vager
vages
vaging
vagly
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valiumed
valiumer
valiumes
valiuming
valiumly
valiums
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virgined
virginer
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virgining
virginly
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vixen
vixened
vixener
vixenes
vixening
vixenly
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vodkaer
vodkaes
vodkaing
vodkaly
vodkas
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voyeured
voyeurer
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voyeuring
voyeurly
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vulgared
vulgarer
vulgares
vulgaring
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wang
wanged
wanger
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wanging
wangly
wangs
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wanked
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wankerer
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wankerly
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wanking
wankly
wanks
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wazooed
wazooer
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wazooing
wazooly
wazoos
wedgie
wedgieed
wedgieer
wedgiees
wedgieing
wedgiely
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weeder
weedes
weeding
weedly
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weenie
weenieed
weenieer
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weenieing
weeniely
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weewee
weeweeed
weeweeer
weeweees
weeweeing
weeweely
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weiner
weinered
weinerer
weineres
weinering
weinerly
weiners
weirdo
weirdoed
weirdoer
weirdoes
weirdoing
weirdoly
weirdos
wench
wenched
wencher
wenches
wenching
wenchly
wenchs
wetback
wetbacked
wetbacker
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wetbacking
wetbackly
wetbacks
whitey
whiteyed
whiteyer
whiteyes
whiteying
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whized
whizer
whizes
whizing
whizly
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whoralicioused
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whoraliciousing
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whore
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whorealicioused
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whorealiciousing
whorealiciously
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whoreded
whoreder
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whoreding
whoredly
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whorefaceed
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whorefaceing
whorefacely
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whorehopper
whorehoppered
whorehopperer
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whorehoppering
whorehopperly
whorehoppers
whorehouse
whorehouseed
whorehouseer
whorehousees
whorehouseing
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whoreing
whorely
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whoresed
whoreser
whoreses
whoresing
whoresly
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whoringing
whoringly
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wigger
wiggered
wiggerer
wiggeres
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wiggerly
wiggers
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woodyed
woodyer
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woodying
woodyly
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woped
woper
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woping
woply
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wtf
wtfed
wtfer
wtfes
wtfing
wtfly
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xxx
xxxed
xxxer
xxxes
xxxing
xxxly
xxxs
yeasty
yeastyed
yeastyer
yeastyes
yeastying
yeastyly
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yobbo
yobboed
yobboer
yobboes
yobboing
yobboly
yobbos
zoophile
zoophileed
zoophileer
zoophilees
zoophileing
zoophilely
zoophiles
anal
ass
ass lick
balls
ballsac
bisexual
bleach
causas
cheap
cost of miracles
cunt
display network stats
fart
fda and death
fda AND warn
fda AND warning
fda AND warns
feom
fuck
gfc
humira AND expensive
illegal
madvocate
masturbation
nuccitelli
overdose
porn
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snort
texarkana
effective for the treatment of a baby
effective for the treatment of a boy
effective for the treatment of a child
effective for the treatment of a female
effective for the treatment of a girl
effective for the treatment of a kid
effective for the treatment of a minor
effective for the treatment of a newborn
effective for the treatment of a teen
effective for the treatment of a teenager
effective for the treatment of a toddler
effective for the treatment of a woman
effective for the treatment of adolescents
effective for the treatment of an adolescent
effective for the treatment of an infant
effective for the treatment of babies
effective for the treatment of baby
effective for the treatment of body building
effective for the treatment of boys
effective for the treatment of breast feeding
effective for the treatment of children
effective for the treatment of females
effective for the treatment of fetus
effective for the treatment of girls
effective for the treatment of infants
effective for the treatment of kids
effective for the treatment of minors
effective for the treatment of newborn
effective for the treatment of pediatric
effective for the treatment of pregnancy
effective for the treatment of pregnant
effective for the treatment of teenagers
effective for the treatment of teens
effective for the treatment of toddlers
effective for the treatment of women
effective for the treatment of youths
for the relief of a baby
for the relief of a boy
for the relief of a child
for the relief of a female
for the relief of a girl
for the relief of a kid
for the relief of a minor
for the relief of a newborn
for the relief of a teen
for the relief of a teenager
for the relief of a toddler
for the relief of a woman
for the relief of adolescents
for the relief of an adolescent
for the relief of an infant
for the relief of babies
for the relief of baby
for the relief of body building
for the relief of boys
for the relief of breast feeding
for the relief of children
for the relief of females
for the relief of fetus
for the relief of girls
for the relief of infants
for the relief of kids
for the relief of minors
for the relief of newborn
for the relief of pediatric
for the relief of pregnancy
for the relief of pregnant
for the relief of teenagers
for the relief of teens
for the relief of toddlers
for the relief of women
for the relief of youths
medicating a baby
medicating a boy
medicating a child
medicating a female
medicating a girl
medicating a kid
medicating a minor
medicating a newborn
medicating a teen
medicating a teenager
medicating a toddler
medicating a woman
medicating adolescents
medicating an adolescent
medicating an infant
medicating babies
medicating baby
medicating body building
medicating boys
medicating breast feeding
medicating children
medicating females
medicating fetus
medicating girls
medicating infants
medicating kids
medicating minors
medicating newborn
medicating pediatric
medicating pregnancy
medicating pregnant
medicating teenagers
medicating teens
medicating toddlers
medicating women
medicating youths
at risk for a baby
at risk for a boy
at risk for a child
at risk for a female
at risk for a girl
at risk for a kid
at risk for a minor
at risk for a newborn
at risk for a teen
at risk for a teenager
at risk for a toddler
at risk for a woman
at risk for adolescents
at risk for an adolescent
at risk for an infant
at risk for babies
at risk for baby
at risk for body building
at risk for boys
at risk for breast feeding
at risk for children
at risk for females
at risk for fetus
at risk for girls
at risk for infants
at risk for kids
at risk for minors
at risk for newborn
at risk for pediatric
at risk for pregnancy
at risk for pregnant
at risk for teenagers
at risk for teens
at risk for toddlers
at risk for women
at risk for youths
treating a baby
treating a boy
treating a child
treating a female
treating a girl
treating a kid
treating a minor
treating a newborn
treating a teen
treating a teenager
treating a toddler
treating a woman
treating adolescents
treating an adolescent
treating an infant
treating babies
treating baby
treating body building
treating boys
treating breast feeding
treating children
treating females
treating fetus
treating girls
treating infants
treating kids
treating minors
treating newborn
treating pediatric
treating pregnancy
treating pregnant
treating teenagers
treating teens
treating toddlers
treating women
treating youths
treatment for a baby
treatment for a boy
treatment for a child
treatment for a female
treatment for a girl
treatment for a kid
treatment for a minor
treatment for a newborn
treatment for a teen
treatment for a teenager
treatment for a toddler
treatment for a woman
treatment for adolescents
treatment for an adolescent
treatment for an infant
treatment for babies
treatment for baby
treatment for body building
treatment for boys
treatment for breast feeding
treatment for children
treatment for females
treatment for fetus
treatment for girls
treatment for infants
treatment for kids
treatment for minors
treatment for newborn
treatment for pediatric
treatment for pregnancy
treatment for pregnant
treatment for teenagers
treatment for teens
treatment for toddlers
treatment for women
treatment for youths
treatments for a baby
treatments for a boy
treatments for a child
treatments for a female
treatments for a girl
treatments for a kid
treatments for a minor
treatments for a newborn
treatments for a teen
treatments for a teenager
treatments for a toddler
treatments for a woman
treatments for adolescents
treatments for an adolescent
treatments for an infant
treatments for babies
treatments for baby
treatments for body building
treatments for boys
treatments for breast feeding
treatments for children
treatments for females
treatments for fetus
treatments for girls
treatments for infants
treatments for kids
treatments for minors
treatments for newborn
treatments for pediatric
treatments for pregnancy
treatments for pregnant
treatments for teenagers
treatments for teens
treatments for toddlers
treatments for women
treatments for youths
diagnosing a baby
diagnosing a boy
diagnosing a child
diagnosing a female
diagnosing a girl
diagnosing a kid
diagnosing a minor
diagnosing a newborn
diagnosing a teen
diagnosing a teenager
diagnosing a toddler
diagnosing a woman
diagnosing adolescents
diagnosing an adolescent
diagnosing an infant
diagnosing babies
diagnosing baby
diagnosing body building
diagnosing boys
diagnosing breast feeding
diagnosing children
diagnosing females
diagnosing fetus
diagnosing girls
diagnosing infants
diagnosing kids
diagnosing minors
diagnosing newborn
diagnosing pediatric
diagnosing pregnancy
diagnosing pregnant
diagnosing teenagers
diagnosing teens
diagnosing toddlers
diagnosing women
diagnosing youths
indicated for a baby
indicated for a boy
indicated for a child
indicated for a female
indicated for a girl
indicated for a kid
indicated for a minor
indicated for a newborn
indicated for a teen
indicated for a teenager
indicated for a toddler
indicated for a woman
indicated for adolescents
indicated for an adolescent
indicated for an infant
indicated for babies
indicated for baby
indicated for body building
indicated for boys
indicated for breast feeding
indicated for children
indicated for females
indicated for fetus
indicated for girls
indicated for infants
indicated for kids
indicated for minors
indicated for newborn
indicated for pediatric
indicated for pregnancy
indicated for pregnant
indicated for teenagers
indicated for teens
indicated for toddlers
indicated for women
indicated for youths
useful for a baby
useful for a boy
useful for a child
useful for a female
useful for a girl
useful for a kid
useful for a minor
useful for a newborn
useful for a teen
useful for a teenager
useful for a toddler
useful for a woman
useful for adolescents
useful for an adolescent
useful for an infant
useful for babies
useful for baby
useful for body building
useful for boys
useful for breast feeding
useful for children
useful for females
useful for fetus
useful for girls
useful for infants
useful for kids
useful for minors
useful for newborn
useful for pediatric
useful for pregnancy
useful for pregnant
useful for teenagers
useful for teens
useful for toddlers
useful for women
useful for youths
effective for a baby
effective for a boy
effective for a child
effective for a female
effective for a girl
effective for a kid
effective for a minor
effective for a newborn
effective for a teen
effective for a teenager
effective for a toddler
effective for a woman
effective for adolescents
effective for an adolescent
effective for an infant
effective for babies
effective for baby
effective for body building
effective for boys
effective for breast feeding
effective for children
effective for females
effective for fetus
effective for girls
effective for infants
effective for kids
effective for minors
effective for newborn
effective for pediatric
effective for pregnancy
effective for pregnant
effective for teenagers
effective for teens
effective for toddlers
effective for women
effective for youths
cures for a baby
cures for a boy
cures for a child
cures for a female
cures for a girl
cures for a kid
cures for a minor
cures for a newborn
cures for a teen
cures for a teenager
cures for a toddler
cures for a woman
cures for adolescents
cures for an adolescent
cures for an infant
cures for babies
cures for baby
cures for body building
cures for boys
cures for breast feeding
cures for children
cures for females
cures for fetus
cures for girls
cures for infants
cures for kids
cures for minors
cures for newborn
cures for pediatric
cures for pregnancy
cures for pregnant
cures for teenagers
cures for teens
cures for toddlers
cures for women
cures for youths
use in a baby
use in a boy
use in a child
use in a female
use in a girl
use in a kid
use in a minor
use in a newborn
use in a teen
use in a teenager
use in a toddler
use in a woman
use in adolescents
use in an adolescent
use in an infant
use in babies
use in baby
use in body building
use in boys
use in breast feeding
use in children
use in females
use in fetus
use in girls
use in infants
use in kids
use in minors
use in newborn
use in pediatric
use in pregnancy
use in pregnant
use in teenagers
use in teens
use in toddlers
use in women
use in youths
use in patients with a baby
use in patients with a boy
use in patients with a child
use in patients with a female
use in patients with a girl
use in patients with a kid
use in patients with a minor
use in patients with a newborn
use in patients with a teen
use in patients with a teenager
use in patients with a toddler
use in patients with a woman
use in patients with adolescents
use in patients with an adolescent
use in patients with an infant
use in patients with babies
use in patients with baby
use in patients with body building
use in patients with boys
use in patients with breast feeding
use in patients with children
use in patients with females
use in patients with fetus
use in patients with girls
use in patients with infants
use in patients with kids
use in patients with minors
use in patients with newborn
use in patients with pediatric
use in patients with pregnancy
use in patients with pregnant
use in patients with teenagers
use in patients with teens
use in patients with toddlers
use in patients with women
use in patients with youths
a baby diagnosis
a boy diagnosis
a child diagnosis
a female diagnosis
a girl diagnosis
a kid diagnosis
a minor diagnosis
a newborn diagnosis
a teen diagnosis
a teenager diagnosis
a toddler diagnosis
a woman diagnosis
adolescents diagnosis
an adolescent diagnosis
an infant diagnosis
babies diagnosis
baby diagnosis
body building diagnosis
boys diagnosis
breast feeding diagnosis
children diagnosis
females diagnosis
fetus diagnosis
girls diagnosis
infants diagnosis
kids diagnosis
minors diagnosis
newborn diagnosis
pediatric diagnosis
pregnancy diagnosis
pregnant diagnosis
teenagers diagnosis
teens diagnosis
toddlers diagnosis
women diagnosis
youths diagnosis
a baby medication
a boy medication
a child medication
a female medication
a girl medication
a kid medication
a minor medication
a newborn medication
a teen medication
a teenager medication
a toddler medication
a woman medication
adolescents medication
an adolescent medication
an infant medication
babies medication
baby medication
body building medication
boys medication
breast feeding medication
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Creative Strategies Hospitals Use to Attract Nursing Talent

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In a fiercely competitive healthcare landscape, hospitals are pulling out all the stops to lure top nursing talent through their doors. From offering eye-popping sign-on bonuses to implementing flexible work schedules, today’s hospitals are transforming the nurse hiring process into a high-stakes game where only the most innovative strategies win.

As the nursing shortage intensifies, the creative recruitment approach isn’t just about the perks — it’s becoming an essential tool in the race to build a skilled nursing workforce.

Nursing vacancies are as high as 17% — more than double prepandemic levels — and hospitals scrambling to fill them need to do more than raise salaries and bolster benefits packages to entice nurses.

“I am very thankful when I hear of creative ideas that nurse administrators come up with to try to get their ultimate goal, which is enough qualified nurses to take care of patients,” said Linda Plank, dean of the Louise Herrington School of Nursing at Baylor University in Dallas, Texas.
 

Signing Bonuses, Tuition Reimbursement, and Self-Scheduling, Please

Signing bonuses were among the top perks offered to healthcare workers, with almost 18% of job openings advertising the incentive for new nurse hires; the average signing bonus for registered nurses (RNs) topped $11,000. In 2023, California-based Palomar Health made headlines when it offered eligible RNs a $100,000 signing bonus paid over a 3-year period.

“We are seeing a variety of incentives, like sign-on bonuses, that can be effective at getting the attention of potential new hires,” said Deborah Trautman, PhD, RN, FAAN, president, and CEO of the American Association of Colleges of Nursing. “With the growing competition for registered nurses, especially those prepared in baccalaureate programs, employers should consider what’s most important to nurses entering the field.”

Hospitals have also invested in benefits ranging from tuition reimbursement, student loan forgiveness, and professional development opportunities to expanded parental leave and onsite childcare. Flexible scheduling is a sought-after perk that benefits both new and experienced RNs and could also help with recruitment.

“In the past, [hospitals said], ‘our shift starts at 7 and ends at 7,’ ” Ms. Plank said. “Now, hospitals are a little bit more flexible ... and being open to flexible shifts has merit. If we’re willing to look at things differently, it could get more people involved in patient care.”

An American Nurses Foundation report found that nurses preferred variable and flexible shift lengths, flexible start times, and self-scheduling options over set schedules. In fact, 45% of nurses who left clinical practice would consider returning to work if hospitals switched to a self-scheduling model.

The Cleveland Clinic in Ohio introduced staggered shifts that start at nontraditional times, including 11 AM to 11 PM, flexible shift lengths, and split RN positions that allow clinical care nurses to divide their time between different departments. Last year, Hackensack Meridian Health in New Jersey also piloted a self-scheduling program for its nursing staff.
 

Hiring Outside the United States

Despite the prevalence of signing bonuses and premium perks, some hospitals still struggled to fill open positions with nurses recruited from outside the United States. Data from The Kaiser Family Foundation show that 32% of hospitals hired foreign-educated RNs in 2022 — more than double the number hired in 2010.

Jennifer Mensik Kennedy, PhD, MBA, RN, NEA-BC, FAAN, president of the American Nurses Association (ANA), is concerned about that trend. The ANA supports the International Council of Nurses and their call for “stronger codes for ethical recruitment of nurses” because international nurse recruitment practices can negatively affect the quality of healthcare in countries that are depleted of nurses.

“Recruiting international nurses as a key strategy for building core staffing is not sustainable in the long term,” Ms. Kennedy said in an interview. “We need to redirect our focus on how to retain staff through fostering healthy work environments and addressing antiquated payment models.”
 

Reinforcing Retention

Recruiting nurses is just one element of addressing the nursing shortage. Prioritizing job satisfaction is essential to retaining nursing staff. Currently, 33% of nurses who enter the profession quit within the first 2 years.

A growing number of hospitals have implemented programs focused on increasing retention. Lifepoint Health, a national network of 60-plus acute care hospitals, launched a Nurse Residency Program in 2023. The 12-month program, which offers training and mentorship to help recent nursing school graduates, has recruited 750 new nurses and helped them transition to clinical practice.

The Nurse Residency Program has been so successful that the hospital system plans to introduce a 2-year fellowship program in the fall of 2024 that supports the professional development of nurses who want to specialize in areas like acute care, obstetrics, or the intensive care unit.

“We are more focused than ever on increasing partnerships and alignment with our local nursing programs, expanding clinical education opportunities for nursing students, owning and driving a nursing culture, and creating an environment where employees want to work,” said Michelle Watson, MSN, RN, CENP, chief nurse executive and senior vice president of clinical operations at Lifepoint Health.

Ms. Watson also credits their facilities’ chief nursing officers as being “highly engaged and visible leaders” who spend time with RNs to learn about their career aspirations and help them understand how the organization can support their desires for ongoing professional development.

The 2022 Nurse Staffing Task Force, a collaborative initiative by the ANA and other prominent national nursing and healthcare organizations, has developed and widely disseminated a set of recommendations for hospitals focusing on investing in nurse staffing, safe and supportive work environments, and competitive wages.

In addition, the Reimagining Nursing Initiative, started by the American Nurses Foundation, is striving to help nurses feel valued and compensated by creating pilot programs that can help modernize nurses’ reimbursement structure so that they can direct bill.

In the end, attracting and retaining top nursing talent is about more than filling positions — it’s about building a healthcare system where nurses thrive. “In the United States and abroad, we owe it to nurses and the communities they serve to have sustainable and appropriate solutions to staffing and work environment challenges,” said Ms. Kennedy.

A version of this article appeared on Medscape.com.

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In a fiercely competitive healthcare landscape, hospitals are pulling out all the stops to lure top nursing talent through their doors. From offering eye-popping sign-on bonuses to implementing flexible work schedules, today’s hospitals are transforming the nurse hiring process into a high-stakes game where only the most innovative strategies win.

As the nursing shortage intensifies, the creative recruitment approach isn’t just about the perks — it’s becoming an essential tool in the race to build a skilled nursing workforce.

Nursing vacancies are as high as 17% — more than double prepandemic levels — and hospitals scrambling to fill them need to do more than raise salaries and bolster benefits packages to entice nurses.

“I am very thankful when I hear of creative ideas that nurse administrators come up with to try to get their ultimate goal, which is enough qualified nurses to take care of patients,” said Linda Plank, dean of the Louise Herrington School of Nursing at Baylor University in Dallas, Texas.
 

Signing Bonuses, Tuition Reimbursement, and Self-Scheduling, Please

Signing bonuses were among the top perks offered to healthcare workers, with almost 18% of job openings advertising the incentive for new nurse hires; the average signing bonus for registered nurses (RNs) topped $11,000. In 2023, California-based Palomar Health made headlines when it offered eligible RNs a $100,000 signing bonus paid over a 3-year period.

“We are seeing a variety of incentives, like sign-on bonuses, that can be effective at getting the attention of potential new hires,” said Deborah Trautman, PhD, RN, FAAN, president, and CEO of the American Association of Colleges of Nursing. “With the growing competition for registered nurses, especially those prepared in baccalaureate programs, employers should consider what’s most important to nurses entering the field.”

Hospitals have also invested in benefits ranging from tuition reimbursement, student loan forgiveness, and professional development opportunities to expanded parental leave and onsite childcare. Flexible scheduling is a sought-after perk that benefits both new and experienced RNs and could also help with recruitment.

“In the past, [hospitals said], ‘our shift starts at 7 and ends at 7,’ ” Ms. Plank said. “Now, hospitals are a little bit more flexible ... and being open to flexible shifts has merit. If we’re willing to look at things differently, it could get more people involved in patient care.”

An American Nurses Foundation report found that nurses preferred variable and flexible shift lengths, flexible start times, and self-scheduling options over set schedules. In fact, 45% of nurses who left clinical practice would consider returning to work if hospitals switched to a self-scheduling model.

The Cleveland Clinic in Ohio introduced staggered shifts that start at nontraditional times, including 11 AM to 11 PM, flexible shift lengths, and split RN positions that allow clinical care nurses to divide their time between different departments. Last year, Hackensack Meridian Health in New Jersey also piloted a self-scheduling program for its nursing staff.
 

Hiring Outside the United States

Despite the prevalence of signing bonuses and premium perks, some hospitals still struggled to fill open positions with nurses recruited from outside the United States. Data from The Kaiser Family Foundation show that 32% of hospitals hired foreign-educated RNs in 2022 — more than double the number hired in 2010.

Jennifer Mensik Kennedy, PhD, MBA, RN, NEA-BC, FAAN, president of the American Nurses Association (ANA), is concerned about that trend. The ANA supports the International Council of Nurses and their call for “stronger codes for ethical recruitment of nurses” because international nurse recruitment practices can negatively affect the quality of healthcare in countries that are depleted of nurses.

“Recruiting international nurses as a key strategy for building core staffing is not sustainable in the long term,” Ms. Kennedy said in an interview. “We need to redirect our focus on how to retain staff through fostering healthy work environments and addressing antiquated payment models.”
 

Reinforcing Retention

Recruiting nurses is just one element of addressing the nursing shortage. Prioritizing job satisfaction is essential to retaining nursing staff. Currently, 33% of nurses who enter the profession quit within the first 2 years.

A growing number of hospitals have implemented programs focused on increasing retention. Lifepoint Health, a national network of 60-plus acute care hospitals, launched a Nurse Residency Program in 2023. The 12-month program, which offers training and mentorship to help recent nursing school graduates, has recruited 750 new nurses and helped them transition to clinical practice.

The Nurse Residency Program has been so successful that the hospital system plans to introduce a 2-year fellowship program in the fall of 2024 that supports the professional development of nurses who want to specialize in areas like acute care, obstetrics, or the intensive care unit.

“We are more focused than ever on increasing partnerships and alignment with our local nursing programs, expanding clinical education opportunities for nursing students, owning and driving a nursing culture, and creating an environment where employees want to work,” said Michelle Watson, MSN, RN, CENP, chief nurse executive and senior vice president of clinical operations at Lifepoint Health.

Ms. Watson also credits their facilities’ chief nursing officers as being “highly engaged and visible leaders” who spend time with RNs to learn about their career aspirations and help them understand how the organization can support their desires for ongoing professional development.

The 2022 Nurse Staffing Task Force, a collaborative initiative by the ANA and other prominent national nursing and healthcare organizations, has developed and widely disseminated a set of recommendations for hospitals focusing on investing in nurse staffing, safe and supportive work environments, and competitive wages.

In addition, the Reimagining Nursing Initiative, started by the American Nurses Foundation, is striving to help nurses feel valued and compensated by creating pilot programs that can help modernize nurses’ reimbursement structure so that they can direct bill.

In the end, attracting and retaining top nursing talent is about more than filling positions — it’s about building a healthcare system where nurses thrive. “In the United States and abroad, we owe it to nurses and the communities they serve to have sustainable and appropriate solutions to staffing and work environment challenges,” said Ms. Kennedy.

A version of this article appeared on Medscape.com.

In a fiercely competitive healthcare landscape, hospitals are pulling out all the stops to lure top nursing talent through their doors. From offering eye-popping sign-on bonuses to implementing flexible work schedules, today’s hospitals are transforming the nurse hiring process into a high-stakes game where only the most innovative strategies win.

As the nursing shortage intensifies, the creative recruitment approach isn’t just about the perks — it’s becoming an essential tool in the race to build a skilled nursing workforce.

Nursing vacancies are as high as 17% — more than double prepandemic levels — and hospitals scrambling to fill them need to do more than raise salaries and bolster benefits packages to entice nurses.

“I am very thankful when I hear of creative ideas that nurse administrators come up with to try to get their ultimate goal, which is enough qualified nurses to take care of patients,” said Linda Plank, dean of the Louise Herrington School of Nursing at Baylor University in Dallas, Texas.
 

Signing Bonuses, Tuition Reimbursement, and Self-Scheduling, Please

Signing bonuses were among the top perks offered to healthcare workers, with almost 18% of job openings advertising the incentive for new nurse hires; the average signing bonus for registered nurses (RNs) topped $11,000. In 2023, California-based Palomar Health made headlines when it offered eligible RNs a $100,000 signing bonus paid over a 3-year period.

“We are seeing a variety of incentives, like sign-on bonuses, that can be effective at getting the attention of potential new hires,” said Deborah Trautman, PhD, RN, FAAN, president, and CEO of the American Association of Colleges of Nursing. “With the growing competition for registered nurses, especially those prepared in baccalaureate programs, employers should consider what’s most important to nurses entering the field.”

Hospitals have also invested in benefits ranging from tuition reimbursement, student loan forgiveness, and professional development opportunities to expanded parental leave and onsite childcare. Flexible scheduling is a sought-after perk that benefits both new and experienced RNs and could also help with recruitment.

“In the past, [hospitals said], ‘our shift starts at 7 and ends at 7,’ ” Ms. Plank said. “Now, hospitals are a little bit more flexible ... and being open to flexible shifts has merit. If we’re willing to look at things differently, it could get more people involved in patient care.”

An American Nurses Foundation report found that nurses preferred variable and flexible shift lengths, flexible start times, and self-scheduling options over set schedules. In fact, 45% of nurses who left clinical practice would consider returning to work if hospitals switched to a self-scheduling model.

The Cleveland Clinic in Ohio introduced staggered shifts that start at nontraditional times, including 11 AM to 11 PM, flexible shift lengths, and split RN positions that allow clinical care nurses to divide their time between different departments. Last year, Hackensack Meridian Health in New Jersey also piloted a self-scheduling program for its nursing staff.
 

Hiring Outside the United States

Despite the prevalence of signing bonuses and premium perks, some hospitals still struggled to fill open positions with nurses recruited from outside the United States. Data from The Kaiser Family Foundation show that 32% of hospitals hired foreign-educated RNs in 2022 — more than double the number hired in 2010.

Jennifer Mensik Kennedy, PhD, MBA, RN, NEA-BC, FAAN, president of the American Nurses Association (ANA), is concerned about that trend. The ANA supports the International Council of Nurses and their call for “stronger codes for ethical recruitment of nurses” because international nurse recruitment practices can negatively affect the quality of healthcare in countries that are depleted of nurses.

“Recruiting international nurses as a key strategy for building core staffing is not sustainable in the long term,” Ms. Kennedy said in an interview. “We need to redirect our focus on how to retain staff through fostering healthy work environments and addressing antiquated payment models.”
 

Reinforcing Retention

Recruiting nurses is just one element of addressing the nursing shortage. Prioritizing job satisfaction is essential to retaining nursing staff. Currently, 33% of nurses who enter the profession quit within the first 2 years.

A growing number of hospitals have implemented programs focused on increasing retention. Lifepoint Health, a national network of 60-plus acute care hospitals, launched a Nurse Residency Program in 2023. The 12-month program, which offers training and mentorship to help recent nursing school graduates, has recruited 750 new nurses and helped them transition to clinical practice.

The Nurse Residency Program has been so successful that the hospital system plans to introduce a 2-year fellowship program in the fall of 2024 that supports the professional development of nurses who want to specialize in areas like acute care, obstetrics, or the intensive care unit.

“We are more focused than ever on increasing partnerships and alignment with our local nursing programs, expanding clinical education opportunities for nursing students, owning and driving a nursing culture, and creating an environment where employees want to work,” said Michelle Watson, MSN, RN, CENP, chief nurse executive and senior vice president of clinical operations at Lifepoint Health.

Ms. Watson also credits their facilities’ chief nursing officers as being “highly engaged and visible leaders” who spend time with RNs to learn about their career aspirations and help them understand how the organization can support their desires for ongoing professional development.

The 2022 Nurse Staffing Task Force, a collaborative initiative by the ANA and other prominent national nursing and healthcare organizations, has developed and widely disseminated a set of recommendations for hospitals focusing on investing in nurse staffing, safe and supportive work environments, and competitive wages.

In addition, the Reimagining Nursing Initiative, started by the American Nurses Foundation, is striving to help nurses feel valued and compensated by creating pilot programs that can help modernize nurses’ reimbursement structure so that they can direct bill.

In the end, attracting and retaining top nursing talent is about more than filling positions — it’s about building a healthcare system where nurses thrive. “In the United States and abroad, we owe it to nurses and the communities they serve to have sustainable and appropriate solutions to staffing and work environment challenges,” said Ms. Kennedy.

A version of this article appeared on Medscape.com.

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Delayed Bleeding: The Silent Risk for Seniors

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Mon, 09/09/2024 - 07:23

This discussion was recorded on August 2, 2024. This transcript has been edited for clarity

Robert D. Glatter, MD: Today, we’ll be discussing the results of a new study published in The Journal of Emergency Medicine, looking at the incidence of delayed intracranial hemorrhage among older patients taking preinjury anticoagulants who present to the emergency department (ED) with blunt head trauma.

Joining me today is the lead author of the study, Dr. Richard Shih, professor of emergency medicine at Florida Atlantic University. Also joining me is Dr. Christina Shenvi, associate professor of emergency medicine at the University of North Carolina (UNC) Chapel Hill, with fellowship training in geriatric emergency medicine. 

Welcome to both of you.

Richard D. Shih, MD: Thanks, Rob. 

Christina L. Shenvi, MD, PhD, MBA: Thanks. Pleasure to be here. 
 

ICH Study Methodology

Dr. Glatter: It’s a pleasure to have you. Rich, this is a great study and targeted toward a population we see daily in the emergency department. I want you to describe your methodology, patient selection, and how you went about organizing your study to look at this important finding of delayed intracranial hemorrhage, especially in those on anticoagulants.

Dr. Shih: This all started for our research team when we first read the 2012 Annals of Emergency Medicine paper. The first author was Vincenzo Menditto, and he looked at a group of patients that had minor head injury, were anticoagulated, and had negative initial head CTs. 

There were about 100 patients, of which about 10 of them did not consent, but they hospitalized all these patients. These were anticoagulated, negative-first head CTs. They hospitalized the patients and then did a routine second CT at about 24 hours. They also followed them for a week, and it turned out a little over 7% of them had delayed head CT. 

We were wondering how many delayed intracranial hemorrhages we had missed because current practice for us was that, if patients had a good physical exam, their head CT was normal, and everything looked good, we would send them home.

Because of that, a number of people across the country wanted to verify those findings from the Menditto study. We tried to design a good study to answer that question. We happen to have a very large geriatric population in Florida, and our ED census is very high for age over 65, at nearly 60%. 

There are two Level I trauma centers in Palm Beach County. We included a second multicenter hospital, and we prospectively enrolled patients. We know the current state of practice is not to routinely do second CTs, so we followed these patients over time and followed their medical records to try to identify delayed bleeding. That’s how we set up our methodology.
 

Is It Safe to Discharge Patients With Trauma After 24 Hours?

Dr. Glatter: For the bulk of these patients with negative head CTs, it’s been my practice that when they’re stable and they look fine and there’s no other apparent, distracting painful trauma, injuries and so forth, they’re safe to discharge. 

The secondary outcome in your study is interesting: the need for neurosurgical intervention in terms of those with delayed intracranial hemorrhage.

Dr. Shih: I do believe that it’s certainly not the problem that Menditto described, which is 7%. There are two other prospective studies that have looked at this issue with delayed bleeding on anticoagulants. Both of these also showed a relatively low rate of delayed bleeding, which is between like 0.2% and 1.0%. In our study, it was 0.4%. 

The difference in the studies is that Menditto and colleagues routinely did 24-hour head CTs. They admitted everybody. For these other studies, routine head CT was not part of it. My bet is that there is a rate of delayed bleeding somewhere in between that seen in the Menditto study and that in all the other studies.

However, talking about significant intracranial hemorrhage, ones that perhaps need neurosurgery, I believe most of them are not significant. There’s some number that do occur, but the vast majority of those probably don’t need neurosurgery. We had 14 delayed bleeds out of 6000 patients with head trauma. One of them ended up requiring neurosurgery, so the answer is not zero, but I don’t think it’s 7% either. 

Dr. Glatter: Dr. Shenvi, I want to bring you into the conversation to talk about your experience at UNC, and how you run things in terms of older patients with blunt head trauma on preinjury anticoagulants.

Dr. Shenvi: Thanks, Rob. I remember when this paper came out showing this 7% rate of delayed bleeding and the question was, “Should we be admitting all these people?” Partly just from an overwhelming need for capacity that that would bring, it just wasn’t practical to say, “We’re going to admit every patient with a negative head CT to the hospital and rescan them.” That would be hundreds or thousands of patients each year in any given facility. 

The other thing is that delayed bleeds don’t always happen just in the first 24 hours. It’s not even a matter of bringing patients into observation for 24 hours, watching them, and rescanning them if they have symptoms. It can occur several days out. That never, in almost any institution that I know of, became standard practice. 

The way that it did change my care was to give good return precautions to patients, to make sure they have somebody with them to say, “Hey, sometimes you can have bleeding several days out after a fall, even though your CT scan here today looks perfect,” and to alert them that if they start having severe headaches, vomiting, or other symptoms of intracranial hemorrhage, that they should come back. 

I don’t think it ever became standard practice, and for good reason, because that was one study. The subsequent studies that Richard mentioned, pretty quickly on the heels of that initial one, showed a much lower rate of delayed ICH with the caveats that the methodology was different. 
 

 

 

Shift in Anticoagulants

Dr. Shenvi: One other big change from that original study, and now to Richard’s study, is the shift in anticoagulants. Back in the initial study you mentioned, it was all warfarin. We know from other studies looking at warfarin vs the direct oral anticoagulants (DOACs) that DOACs have lower rates of ICH after a head injury, lower rates of need for neurosurgical intervention, and lower rates of discharge to a skilled nursing facility after an intracranial hemorrhage.

Across the board, we know that the DOACs tend to do better. It’s difficult to compare newer studies because it’s a different medication. It did inform my practice to have an awareness of delayed intracranial hemorrhage so that I warn patients more proactively. 

Dr. Glatter: I haven’t seen a patient on warfarin in years. I don’t know if either of you have, but it’s all DOACs now unless there’s some other reason. That shift is quite apparent.

Dr. Shih: The problem with looking at delayed bleeding for DOACs vs warfarin is the numbers were so low. I think we had 13 people, and seven were in the no-anticoagulant group. The numbers are even lower, so it’s hard to say. 

I just wanted to comment on something that Dr. Shenvi said, and I pretty much agree with everything that she said. Anticoagulants and warfarin, and that Menditto study, have a carryover effect. People group DOACs with warfarin similarly. When a patient is brought in, the first thing they talk about with head trauma is, “Oh, they’re on an anticoagulant” or “They’re not on an anticoagulant.” It’s so ingrained.

I believe that, in emergency medicine, we’re pressed for space and time and we’re not as affected by that 24-hour observation. Maybe many of our surgeons will automatically admit those patients. 

I haven’t seen a guideline from the United States, but there are two international guidelines. One is from Austria from 2019, and one is from Scandinavia. Both recommended 24-hour observation if you’re on an anticoagulant.

There is a bit of controversy left over with that. Hopefully, as more and more of information, like in our study, comes out, people will be a little bit more clear about it. I don’t think there’s a need to routinely admit them. 

I do want to mention that the Menditto study had such a massive impact on everybody. They pointed out one subgroup (and it’s such a small number of patients). They had seven cases of delayed bleeding; four or five of them were within that 24 hours, and a couple were diagnosed later over the next couple days.

Of those seven people, four of them had international normalized ratios (INRs) greater than 3. Of those four patients, I’ve heard people talk about this and recommend, “Okay, that’s the subgroup I would admit.” There’s a toss-up with what to do with DOAC because it’s very hard to tell whether there’s an issue, whether there are problems with their dosing, and whatever. 

We actually recently looked at that. We have a much larger sample than four: close to 300 patients who were on warfarin. We looked at patients who had INRs below 3 and above 3, and we didn’t show a difference. We still don’t believe that warfarin is a big issue with delayed bleeding.
 

 

 

Should We Be Asking: ‘Are They on Blood Thinners?’

Dr. Shenvi: One of the interesting trends related to warfarin and the DOACs vs no anticoagulant is that as you mentioned, Dr Shih, the first question out of people’s mouths or the first piece of information emergency medical services gives you when they come in with a patient who’s had a head injury is, “Are they on blood thinners or not?”

Yet, the paradigm is shifting to say it’s not actually the blood thinners themselves that are giving older patients the higher risk for bleeding; it’s age and other comorbidities.

Certainly, if you’re on an anticoagulant and you start to bleed, your prognosis is much worse because the bleeding doesn’t stop. In terms of who has a bleeding event, there’s much less impact of anticoagulation than we used to think. That, in part, may be due to the change from warfarin to other medications.

Some of the experts I’ve talked to who have done the research on this have said, “Well, actually, warfarin was more of a marker for being much older and more frail, because it was primarily prescribed to older patients who have significant heart disease, atrial fibrillation, and so on.” It was more a marker for somebody who is at risk for an intracranial hemorrhage. There are many changes that have happened in the past 10 years with medications and also our understanding. 
 

Challenges in Patient Follow-up

Dr. Glatter: That’s a great point. One thing, Rich, I want to ask you about is in terms of your proxy outcome assessment. When you use that at 14 and 60 days with telephone follow-up and then chart review at 60 and 90 days (because, obviously, everyone can’t get another head CT or it’s difficult to follow patients up), did you find that worked out well in your prospective cohort study, in terms of using that as a proxy, so to speak? 

Dr. Shih: I would say to a certain extent. Unfortunately, we don’t have access to the patients to come back to follow up all of them, and there was obviously a large number of patients in our study. 

The next best thing was that we had dedicated research assistants calling all of the patients at 14 days and 60 days. I’ve certainly read research studies where, when they call them, they get 80%-90% follow-up, but we did not achieve that.

I don’t know if people are more inundated with spam phone calls now, or the older people are just afraid of picking up their phone sometimes with all the scams and so forth. I totally understand, but in all honesty, we only had about a 30%-35% follow-up using that follow-up pathway. 

Then the proxy pathway was to look at their charts at 60 and 90 days. Also, we looked at the Florida death registry, which is pretty good, and then finally, we had both Level I trauma centers in the county that we were in participating. It’s standard practice that if you have an intracranial hemorrhage at a non–Level I trauma center, you would be transferred to a Level I trauma center. That’s the protocol. I know that’s not followed 100% of the time, but that’s part of the proxy follow-up. You could criticize the study for not having closer to 90% actual contact, but that’s the best we could do. 

Dr. Glatter: I think that’s admirable. Using that paradigm of what you described certainly allows the reader to understand the difficulty in assessing patients that don’t get follow-up head CT, and hardly anyone does that, as we know.

To your point of having both Level I trauma centers in the county, that makes it pretty secure. If we’re going to do a study encompassing a similar type of regional aspect, it would be similar.

Dr. Shenvi: I think your proxies, to your credit, were as good as you can get. You can never get a 100% follow-up, but you really looked at all the different avenues by which patients might present, either in the death registry or a Level I center. Well done on that aspect.

 

 

 

Determining When to Admit Patients for Observation

Dr. Glatter: In terms of admissions: You admit a patient, then you hear back that this patient should not have been admitted because they had a negative head CT, but you put them in anyway in the sense of delayed bleeding happening or not happening.

It’s interesting. Maybe the insurers will start looking at this in some capacity, based on your study, that because it’s so infrequent that you see delayed bleeding, that admitting someone for any reason whatsoever would be declined. Do you see that being an issue? In other words, [do you see] this leading to a pattern in terms of the payers?

Dr. Shih: Certainly, you could interpret it that way, and that would be unfortunate. The [incidence of] delayed bleeding is definitely not zero. That’s the first thing. 

The second thing is that when you’re dealing with an older population, having some sense that they’re not doing well is an important contributor to trying to fully assess what’s going on — whether or not they have a bleed or whether they’re at risk for falling again and then hitting their head and causing a second bleed, and making sure they can do the activities of daily life. There really should be some room for a physician to say, “They just got here, and we don’t know him that well. There’s something that bothers me about this person” and have the ability to watch them for at least another 24 hours. That’s how I feel. 

Dr. Shenvi: In my location, it would be difficult to try to admit somebody purely for observation for delayed bleeding. I think we would get a lot of pushback on that. The reasons I might admit a patient after a fall with a negative head CT, though, are all the things that, Rob, you alluded to earlier — which are, what made them fall in the first place and were they unable to get up? 

I had this happen just this week. A patient who fell couldn’t get off the ground for 12 hours, and so now she’s dehydrated and delirious with slight rhabdomyolysis. Then you’re admitting them either for the sequelae of the fall that are not related to the intracranial hemorrhage, or the fact that they are so debilitated and deconditioned that they cannot take care of themselves. They need physical therapy. Often, we will have physical and occupational therapists come see them in the ED during business hours and help make an assessment of whether they are safe to go home or whether they fall again. That can give more evidence for the need for admission.

Dr. Glatter: To bring artificial intelligence into this discussion, algorithms that are out there that say, “Push a button and the patient’s safe for discharge.” Well, this argues for a clinical gestalt and a human being to make an assessment because you can use these predictive models, which are coming and they’re going to be here soon, and they already are in some sense. Again, we have to use clinical human judgment. 

Dr. Shih: I agree. 
 

 

 

Advice for Primary Care Physicians

Dr. Glatter: What return precautions do you discuss with patients who’ve had blunt head trauma that maybe had a head CT, or even didn’t? What are the main things we’re looking for?

Dr. Shenvi: What I usually tell people is if you start to have a worse headache, nausea or vomiting, any weakness in one area of your body, or vision changes, and if there’s a family member or friend there, I’ll say, “If you notice that they’re acting differently or seem confused, come back.”

Dr. Shih: I agree with what she said, and I’m also going to add one thing. The most important part is they are trying to prevent a subsequent fall. We know that when they’ve fallen and they present to the ED, they’re at even higher risk for falling and reinjuring themselves, and that’s a population that’s already at risk.

One of the secondary studies that we published out of this project was looking at follow-up with their primary care physicians, and there were two things that we wanted to address. The first was, how often did they do it? Then, when they did do it, did their primary care physicians try to address and prevent subsequent falls?

Both the answers are actually bad. Amazingly, just over like 60% followed up. 

In some of our subsequent research, because we’re in the midst of a randomized, controlled trial where we do a home visit, when we initially see these individuals that have fallen, they’ll schedule a home visit for us. Then a week or two later, when we schedule the home visit, many of them cancel because they think, Oh, that was a one-off and it’s not going to happen again. Part of the problem is the patients, because many of them believe that they just slipped and fell and it’s not going to happen again, or they’re not prone to it.

The second issue was when patients did go to a primary care physician, we have found that some primary care physicians believe that falling and injuring themselves is just part of the normal aging process. A percentage of them don’t go over assessment for fall risk or even initiate fall prevention treatments or programs. 

I try to take that time to tell them that this is very common in their age group, and believe it or not, a fall from standing is the way people really injure themselves, and there may be ways to prevent subsequent falls and injuries. 

Dr. Glatter: Absolutely. Do you find that their medications are a contributor in some sense? Say they’re antihypertensive, have issues of orthostasis, or a new medication was added in the last week. 

Dr. Shenvi: It’s all of the above. Sometimes it’s one thing, like they just started tamsulosin for their kidney stone, they stood up, they felt lightheaded, and they fell. Usually, it’s multifactorial with some changes in their gait, vision, balance, reflex time, and strength, plus the medications or the need for assistive devices. Maybe they can’t take care of their home as well as they used to and there are things on the floor. It’s really all of the above.
 

 

 

‘Harder to Unlearn Something Than to Learn It’

Dr. Glatter: Would either of you like to add any additional points to the discussion or add a few pearls? 

Dr. Shenvi: This just highlights the challenge of how it’s harder to unlearn something than to learn it, where one study that maybe wasn’t quite looking at what we needed to, or practice and prescribing patterns have changed, so it’s no longer really relevant. 

The things that we learned from that, or the fears that we instilled in our minds of, Uh oh, they could go home and have delayed bleeding, are much harder to unlearn, and it takes more studies to unlearn that idea than it did to actually put it into place. 

I’m glad that your team has done this much larger, prospective study and hopefully will reduce the concern about this entity. 

Dr. Shih: I appreciate that segue. It is amazing that, for paramedics and medical students, the first thing out of their mouth is, “Are they on an anticoagulant?”

In terms of the risk of developing an intracranial hemorrhage, I think it’s much less than the weight we’ve put on it before. However, I believe if they have a bleed, the bleeds are worse. It’s kind of a double-edged sword. It’s still an important factor, but it doesn’t come with the Oh my gosh, they’re on an anticoagulant that everybody thinks about.
 

No. 1 Cause of Traumatic Injury Is a Fall from Standing

Dr. Glatter: These are obviously ground-level falls in most patients and not motor vehicle crashes. That’s an important part in the population that you looked at that should be mentioned clearly. 

Dr. Shih: It’s astonishing. I’ve been a program director for over 20 years, and geriatrics is not well taught in the curriculum. It’s astonishing for many of our trainees and emergency physicians in general that the number-one cause for traumatic injury is a fall from standing.

Certainly, we get patients coming in the trauma center like a 95-year-old person who’s on a ladder putting up his Christmas lights. I’m like, oh my God. 

For the vast majority, it’s closer to 90%, but in our study, for the patients we looked at, it was 80% that fall from standing. That’s the mechanism that causes these bleeds and these major injuries. 

Dr. Shenvi: That’s reflective of what we see, so it’s good that that’s what you looked at also. 

Dr. Glatter: Absolutely. Well, thank you both. This has been a very informative discussion. I appreciate your time, and our readers will certainly benefit from your knowledge and expertise. Thank you again.

Dr. Glatter, assistant professor of emergency medicine at Zucker School of Medicine at Hofstra/Northwell in Hempstead, New York, is a medical adviser for this news organization. He disclosed having no relevant financial conflicts. Dr. Shih is professor of emergency medicine at the Charles E. Schmidt College of Medicine at Florida Atlantic University, Boca Raton. His current grant funding and area of research interest involves geriatric emergency department patients with head injury and fall-related injury. He disclosed receiving a research grant from The Florida Medical Malpractice Joint Underwriting Association Grant for Safety of Health Care Services). Dr. Shenvi, associate professor of emergency medicine at the University of North Carolina at Chapel Hill, disclosed ties with the American College of Emergency Physicians, Institute for Healthcare Improvement, AstraZeneca, and CurvaFix.

A version of this article appeared on Medscape.com.

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This discussion was recorded on August 2, 2024. This transcript has been edited for clarity

Robert D. Glatter, MD: Today, we’ll be discussing the results of a new study published in The Journal of Emergency Medicine, looking at the incidence of delayed intracranial hemorrhage among older patients taking preinjury anticoagulants who present to the emergency department (ED) with blunt head trauma.

Joining me today is the lead author of the study, Dr. Richard Shih, professor of emergency medicine at Florida Atlantic University. Also joining me is Dr. Christina Shenvi, associate professor of emergency medicine at the University of North Carolina (UNC) Chapel Hill, with fellowship training in geriatric emergency medicine. 

Welcome to both of you.

Richard D. Shih, MD: Thanks, Rob. 

Christina L. Shenvi, MD, PhD, MBA: Thanks. Pleasure to be here. 
 

ICH Study Methodology

Dr. Glatter: It’s a pleasure to have you. Rich, this is a great study and targeted toward a population we see daily in the emergency department. I want you to describe your methodology, patient selection, and how you went about organizing your study to look at this important finding of delayed intracranial hemorrhage, especially in those on anticoagulants.

Dr. Shih: This all started for our research team when we first read the 2012 Annals of Emergency Medicine paper. The first author was Vincenzo Menditto, and he looked at a group of patients that had minor head injury, were anticoagulated, and had negative initial head CTs. 

There were about 100 patients, of which about 10 of them did not consent, but they hospitalized all these patients. These were anticoagulated, negative-first head CTs. They hospitalized the patients and then did a routine second CT at about 24 hours. They also followed them for a week, and it turned out a little over 7% of them had delayed head CT. 

We were wondering how many delayed intracranial hemorrhages we had missed because current practice for us was that, if patients had a good physical exam, their head CT was normal, and everything looked good, we would send them home.

Because of that, a number of people across the country wanted to verify those findings from the Menditto study. We tried to design a good study to answer that question. We happen to have a very large geriatric population in Florida, and our ED census is very high for age over 65, at nearly 60%. 

There are two Level I trauma centers in Palm Beach County. We included a second multicenter hospital, and we prospectively enrolled patients. We know the current state of practice is not to routinely do second CTs, so we followed these patients over time and followed their medical records to try to identify delayed bleeding. That’s how we set up our methodology.
 

Is It Safe to Discharge Patients With Trauma After 24 Hours?

Dr. Glatter: For the bulk of these patients with negative head CTs, it’s been my practice that when they’re stable and they look fine and there’s no other apparent, distracting painful trauma, injuries and so forth, they’re safe to discharge. 

The secondary outcome in your study is interesting: the need for neurosurgical intervention in terms of those with delayed intracranial hemorrhage.

Dr. Shih: I do believe that it’s certainly not the problem that Menditto described, which is 7%. There are two other prospective studies that have looked at this issue with delayed bleeding on anticoagulants. Both of these also showed a relatively low rate of delayed bleeding, which is between like 0.2% and 1.0%. In our study, it was 0.4%. 

The difference in the studies is that Menditto and colleagues routinely did 24-hour head CTs. They admitted everybody. For these other studies, routine head CT was not part of it. My bet is that there is a rate of delayed bleeding somewhere in between that seen in the Menditto study and that in all the other studies.

However, talking about significant intracranial hemorrhage, ones that perhaps need neurosurgery, I believe most of them are not significant. There’s some number that do occur, but the vast majority of those probably don’t need neurosurgery. We had 14 delayed bleeds out of 6000 patients with head trauma. One of them ended up requiring neurosurgery, so the answer is not zero, but I don’t think it’s 7% either. 

Dr. Glatter: Dr. Shenvi, I want to bring you into the conversation to talk about your experience at UNC, and how you run things in terms of older patients with blunt head trauma on preinjury anticoagulants.

Dr. Shenvi: Thanks, Rob. I remember when this paper came out showing this 7% rate of delayed bleeding and the question was, “Should we be admitting all these people?” Partly just from an overwhelming need for capacity that that would bring, it just wasn’t practical to say, “We’re going to admit every patient with a negative head CT to the hospital and rescan them.” That would be hundreds or thousands of patients each year in any given facility. 

The other thing is that delayed bleeds don’t always happen just in the first 24 hours. It’s not even a matter of bringing patients into observation for 24 hours, watching them, and rescanning them if they have symptoms. It can occur several days out. That never, in almost any institution that I know of, became standard practice. 

The way that it did change my care was to give good return precautions to patients, to make sure they have somebody with them to say, “Hey, sometimes you can have bleeding several days out after a fall, even though your CT scan here today looks perfect,” and to alert them that if they start having severe headaches, vomiting, or other symptoms of intracranial hemorrhage, that they should come back. 

I don’t think it ever became standard practice, and for good reason, because that was one study. The subsequent studies that Richard mentioned, pretty quickly on the heels of that initial one, showed a much lower rate of delayed ICH with the caveats that the methodology was different. 
 

 

 

Shift in Anticoagulants

Dr. Shenvi: One other big change from that original study, and now to Richard’s study, is the shift in anticoagulants. Back in the initial study you mentioned, it was all warfarin. We know from other studies looking at warfarin vs the direct oral anticoagulants (DOACs) that DOACs have lower rates of ICH after a head injury, lower rates of need for neurosurgical intervention, and lower rates of discharge to a skilled nursing facility after an intracranial hemorrhage.

Across the board, we know that the DOACs tend to do better. It’s difficult to compare newer studies because it’s a different medication. It did inform my practice to have an awareness of delayed intracranial hemorrhage so that I warn patients more proactively. 

Dr. Glatter: I haven’t seen a patient on warfarin in years. I don’t know if either of you have, but it’s all DOACs now unless there’s some other reason. That shift is quite apparent.

Dr. Shih: The problem with looking at delayed bleeding for DOACs vs warfarin is the numbers were so low. I think we had 13 people, and seven were in the no-anticoagulant group. The numbers are even lower, so it’s hard to say. 

I just wanted to comment on something that Dr. Shenvi said, and I pretty much agree with everything that she said. Anticoagulants and warfarin, and that Menditto study, have a carryover effect. People group DOACs with warfarin similarly. When a patient is brought in, the first thing they talk about with head trauma is, “Oh, they’re on an anticoagulant” or “They’re not on an anticoagulant.” It’s so ingrained.

I believe that, in emergency medicine, we’re pressed for space and time and we’re not as affected by that 24-hour observation. Maybe many of our surgeons will automatically admit those patients. 

I haven’t seen a guideline from the United States, but there are two international guidelines. One is from Austria from 2019, and one is from Scandinavia. Both recommended 24-hour observation if you’re on an anticoagulant.

There is a bit of controversy left over with that. Hopefully, as more and more of information, like in our study, comes out, people will be a little bit more clear about it. I don’t think there’s a need to routinely admit them. 

I do want to mention that the Menditto study had such a massive impact on everybody. They pointed out one subgroup (and it’s such a small number of patients). They had seven cases of delayed bleeding; four or five of them were within that 24 hours, and a couple were diagnosed later over the next couple days.

Of those seven people, four of them had international normalized ratios (INRs) greater than 3. Of those four patients, I’ve heard people talk about this and recommend, “Okay, that’s the subgroup I would admit.” There’s a toss-up with what to do with DOAC because it’s very hard to tell whether there’s an issue, whether there are problems with their dosing, and whatever. 

We actually recently looked at that. We have a much larger sample than four: close to 300 patients who were on warfarin. We looked at patients who had INRs below 3 and above 3, and we didn’t show a difference. We still don’t believe that warfarin is a big issue with delayed bleeding.
 

 

 

Should We Be Asking: ‘Are They on Blood Thinners?’

Dr. Shenvi: One of the interesting trends related to warfarin and the DOACs vs no anticoagulant is that as you mentioned, Dr Shih, the first question out of people’s mouths or the first piece of information emergency medical services gives you when they come in with a patient who’s had a head injury is, “Are they on blood thinners or not?”

Yet, the paradigm is shifting to say it’s not actually the blood thinners themselves that are giving older patients the higher risk for bleeding; it’s age and other comorbidities.

Certainly, if you’re on an anticoagulant and you start to bleed, your prognosis is much worse because the bleeding doesn’t stop. In terms of who has a bleeding event, there’s much less impact of anticoagulation than we used to think. That, in part, may be due to the change from warfarin to other medications.

Some of the experts I’ve talked to who have done the research on this have said, “Well, actually, warfarin was more of a marker for being much older and more frail, because it was primarily prescribed to older patients who have significant heart disease, atrial fibrillation, and so on.” It was more a marker for somebody who is at risk for an intracranial hemorrhage. There are many changes that have happened in the past 10 years with medications and also our understanding. 
 

Challenges in Patient Follow-up

Dr. Glatter: That’s a great point. One thing, Rich, I want to ask you about is in terms of your proxy outcome assessment. When you use that at 14 and 60 days with telephone follow-up and then chart review at 60 and 90 days (because, obviously, everyone can’t get another head CT or it’s difficult to follow patients up), did you find that worked out well in your prospective cohort study, in terms of using that as a proxy, so to speak? 

Dr. Shih: I would say to a certain extent. Unfortunately, we don’t have access to the patients to come back to follow up all of them, and there was obviously a large number of patients in our study. 

The next best thing was that we had dedicated research assistants calling all of the patients at 14 days and 60 days. I’ve certainly read research studies where, when they call them, they get 80%-90% follow-up, but we did not achieve that.

I don’t know if people are more inundated with spam phone calls now, or the older people are just afraid of picking up their phone sometimes with all the scams and so forth. I totally understand, but in all honesty, we only had about a 30%-35% follow-up using that follow-up pathway. 

Then the proxy pathway was to look at their charts at 60 and 90 days. Also, we looked at the Florida death registry, which is pretty good, and then finally, we had both Level I trauma centers in the county that we were in participating. It’s standard practice that if you have an intracranial hemorrhage at a non–Level I trauma center, you would be transferred to a Level I trauma center. That’s the protocol. I know that’s not followed 100% of the time, but that’s part of the proxy follow-up. You could criticize the study for not having closer to 90% actual contact, but that’s the best we could do. 

Dr. Glatter: I think that’s admirable. Using that paradigm of what you described certainly allows the reader to understand the difficulty in assessing patients that don’t get follow-up head CT, and hardly anyone does that, as we know.

To your point of having both Level I trauma centers in the county, that makes it pretty secure. If we’re going to do a study encompassing a similar type of regional aspect, it would be similar.

Dr. Shenvi: I think your proxies, to your credit, were as good as you can get. You can never get a 100% follow-up, but you really looked at all the different avenues by which patients might present, either in the death registry or a Level I center. Well done on that aspect.

 

 

 

Determining When to Admit Patients for Observation

Dr. Glatter: In terms of admissions: You admit a patient, then you hear back that this patient should not have been admitted because they had a negative head CT, but you put them in anyway in the sense of delayed bleeding happening or not happening.

It’s interesting. Maybe the insurers will start looking at this in some capacity, based on your study, that because it’s so infrequent that you see delayed bleeding, that admitting someone for any reason whatsoever would be declined. Do you see that being an issue? In other words, [do you see] this leading to a pattern in terms of the payers?

Dr. Shih: Certainly, you could interpret it that way, and that would be unfortunate. The [incidence of] delayed bleeding is definitely not zero. That’s the first thing. 

The second thing is that when you’re dealing with an older population, having some sense that they’re not doing well is an important contributor to trying to fully assess what’s going on — whether or not they have a bleed or whether they’re at risk for falling again and then hitting their head and causing a second bleed, and making sure they can do the activities of daily life. There really should be some room for a physician to say, “They just got here, and we don’t know him that well. There’s something that bothers me about this person” and have the ability to watch them for at least another 24 hours. That’s how I feel. 

Dr. Shenvi: In my location, it would be difficult to try to admit somebody purely for observation for delayed bleeding. I think we would get a lot of pushback on that. The reasons I might admit a patient after a fall with a negative head CT, though, are all the things that, Rob, you alluded to earlier — which are, what made them fall in the first place and were they unable to get up? 

I had this happen just this week. A patient who fell couldn’t get off the ground for 12 hours, and so now she’s dehydrated and delirious with slight rhabdomyolysis. Then you’re admitting them either for the sequelae of the fall that are not related to the intracranial hemorrhage, or the fact that they are so debilitated and deconditioned that they cannot take care of themselves. They need physical therapy. Often, we will have physical and occupational therapists come see them in the ED during business hours and help make an assessment of whether they are safe to go home or whether they fall again. That can give more evidence for the need for admission.

Dr. Glatter: To bring artificial intelligence into this discussion, algorithms that are out there that say, “Push a button and the patient’s safe for discharge.” Well, this argues for a clinical gestalt and a human being to make an assessment because you can use these predictive models, which are coming and they’re going to be here soon, and they already are in some sense. Again, we have to use clinical human judgment. 

Dr. Shih: I agree. 
 

 

 

Advice for Primary Care Physicians

Dr. Glatter: What return precautions do you discuss with patients who’ve had blunt head trauma that maybe had a head CT, or even didn’t? What are the main things we’re looking for?

Dr. Shenvi: What I usually tell people is if you start to have a worse headache, nausea or vomiting, any weakness in one area of your body, or vision changes, and if there’s a family member or friend there, I’ll say, “If you notice that they’re acting differently or seem confused, come back.”

Dr. Shih: I agree with what she said, and I’m also going to add one thing. The most important part is they are trying to prevent a subsequent fall. We know that when they’ve fallen and they present to the ED, they’re at even higher risk for falling and reinjuring themselves, and that’s a population that’s already at risk.

One of the secondary studies that we published out of this project was looking at follow-up with their primary care physicians, and there were two things that we wanted to address. The first was, how often did they do it? Then, when they did do it, did their primary care physicians try to address and prevent subsequent falls?

Both the answers are actually bad. Amazingly, just over like 60% followed up. 

In some of our subsequent research, because we’re in the midst of a randomized, controlled trial where we do a home visit, when we initially see these individuals that have fallen, they’ll schedule a home visit for us. Then a week or two later, when we schedule the home visit, many of them cancel because they think, Oh, that was a one-off and it’s not going to happen again. Part of the problem is the patients, because many of them believe that they just slipped and fell and it’s not going to happen again, or they’re not prone to it.

The second issue was when patients did go to a primary care physician, we have found that some primary care physicians believe that falling and injuring themselves is just part of the normal aging process. A percentage of them don’t go over assessment for fall risk or even initiate fall prevention treatments or programs. 

I try to take that time to tell them that this is very common in their age group, and believe it or not, a fall from standing is the way people really injure themselves, and there may be ways to prevent subsequent falls and injuries. 

Dr. Glatter: Absolutely. Do you find that their medications are a contributor in some sense? Say they’re antihypertensive, have issues of orthostasis, or a new medication was added in the last week. 

Dr. Shenvi: It’s all of the above. Sometimes it’s one thing, like they just started tamsulosin for their kidney stone, they stood up, they felt lightheaded, and they fell. Usually, it’s multifactorial with some changes in their gait, vision, balance, reflex time, and strength, plus the medications or the need for assistive devices. Maybe they can’t take care of their home as well as they used to and there are things on the floor. It’s really all of the above.
 

 

 

‘Harder to Unlearn Something Than to Learn It’

Dr. Glatter: Would either of you like to add any additional points to the discussion or add a few pearls? 

Dr. Shenvi: This just highlights the challenge of how it’s harder to unlearn something than to learn it, where one study that maybe wasn’t quite looking at what we needed to, or practice and prescribing patterns have changed, so it’s no longer really relevant. 

The things that we learned from that, or the fears that we instilled in our minds of, Uh oh, they could go home and have delayed bleeding, are much harder to unlearn, and it takes more studies to unlearn that idea than it did to actually put it into place. 

I’m glad that your team has done this much larger, prospective study and hopefully will reduce the concern about this entity. 

Dr. Shih: I appreciate that segue. It is amazing that, for paramedics and medical students, the first thing out of their mouth is, “Are they on an anticoagulant?”

In terms of the risk of developing an intracranial hemorrhage, I think it’s much less than the weight we’ve put on it before. However, I believe if they have a bleed, the bleeds are worse. It’s kind of a double-edged sword. It’s still an important factor, but it doesn’t come with the Oh my gosh, they’re on an anticoagulant that everybody thinks about.
 

No. 1 Cause of Traumatic Injury Is a Fall from Standing

Dr. Glatter: These are obviously ground-level falls in most patients and not motor vehicle crashes. That’s an important part in the population that you looked at that should be mentioned clearly. 

Dr. Shih: It’s astonishing. I’ve been a program director for over 20 years, and geriatrics is not well taught in the curriculum. It’s astonishing for many of our trainees and emergency physicians in general that the number-one cause for traumatic injury is a fall from standing.

Certainly, we get patients coming in the trauma center like a 95-year-old person who’s on a ladder putting up his Christmas lights. I’m like, oh my God. 

For the vast majority, it’s closer to 90%, but in our study, for the patients we looked at, it was 80% that fall from standing. That’s the mechanism that causes these bleeds and these major injuries. 

Dr. Shenvi: That’s reflective of what we see, so it’s good that that’s what you looked at also. 

Dr. Glatter: Absolutely. Well, thank you both. This has been a very informative discussion. I appreciate your time, and our readers will certainly benefit from your knowledge and expertise. Thank you again.

Dr. Glatter, assistant professor of emergency medicine at Zucker School of Medicine at Hofstra/Northwell in Hempstead, New York, is a medical adviser for this news organization. He disclosed having no relevant financial conflicts. Dr. Shih is professor of emergency medicine at the Charles E. Schmidt College of Medicine at Florida Atlantic University, Boca Raton. His current grant funding and area of research interest involves geriatric emergency department patients with head injury and fall-related injury. He disclosed receiving a research grant from The Florida Medical Malpractice Joint Underwriting Association Grant for Safety of Health Care Services). Dr. Shenvi, associate professor of emergency medicine at the University of North Carolina at Chapel Hill, disclosed ties with the American College of Emergency Physicians, Institute for Healthcare Improvement, AstraZeneca, and CurvaFix.

A version of this article appeared on Medscape.com.

This discussion was recorded on August 2, 2024. This transcript has been edited for clarity

Robert D. Glatter, MD: Today, we’ll be discussing the results of a new study published in The Journal of Emergency Medicine, looking at the incidence of delayed intracranial hemorrhage among older patients taking preinjury anticoagulants who present to the emergency department (ED) with blunt head trauma.

Joining me today is the lead author of the study, Dr. Richard Shih, professor of emergency medicine at Florida Atlantic University. Also joining me is Dr. Christina Shenvi, associate professor of emergency medicine at the University of North Carolina (UNC) Chapel Hill, with fellowship training in geriatric emergency medicine. 

Welcome to both of you.

Richard D. Shih, MD: Thanks, Rob. 

Christina L. Shenvi, MD, PhD, MBA: Thanks. Pleasure to be here. 
 

ICH Study Methodology

Dr. Glatter: It’s a pleasure to have you. Rich, this is a great study and targeted toward a population we see daily in the emergency department. I want you to describe your methodology, patient selection, and how you went about organizing your study to look at this important finding of delayed intracranial hemorrhage, especially in those on anticoagulants.

Dr. Shih: This all started for our research team when we first read the 2012 Annals of Emergency Medicine paper. The first author was Vincenzo Menditto, and he looked at a group of patients that had minor head injury, were anticoagulated, and had negative initial head CTs. 

There were about 100 patients, of which about 10 of them did not consent, but they hospitalized all these patients. These were anticoagulated, negative-first head CTs. They hospitalized the patients and then did a routine second CT at about 24 hours. They also followed them for a week, and it turned out a little over 7% of them had delayed head CT. 

We were wondering how many delayed intracranial hemorrhages we had missed because current practice for us was that, if patients had a good physical exam, their head CT was normal, and everything looked good, we would send them home.

Because of that, a number of people across the country wanted to verify those findings from the Menditto study. We tried to design a good study to answer that question. We happen to have a very large geriatric population in Florida, and our ED census is very high for age over 65, at nearly 60%. 

There are two Level I trauma centers in Palm Beach County. We included a second multicenter hospital, and we prospectively enrolled patients. We know the current state of practice is not to routinely do second CTs, so we followed these patients over time and followed their medical records to try to identify delayed bleeding. That’s how we set up our methodology.
 

Is It Safe to Discharge Patients With Trauma After 24 Hours?

Dr. Glatter: For the bulk of these patients with negative head CTs, it’s been my practice that when they’re stable and they look fine and there’s no other apparent, distracting painful trauma, injuries and so forth, they’re safe to discharge. 

The secondary outcome in your study is interesting: the need for neurosurgical intervention in terms of those with delayed intracranial hemorrhage.

Dr. Shih: I do believe that it’s certainly not the problem that Menditto described, which is 7%. There are two other prospective studies that have looked at this issue with delayed bleeding on anticoagulants. Both of these also showed a relatively low rate of delayed bleeding, which is between like 0.2% and 1.0%. In our study, it was 0.4%. 

The difference in the studies is that Menditto and colleagues routinely did 24-hour head CTs. They admitted everybody. For these other studies, routine head CT was not part of it. My bet is that there is a rate of delayed bleeding somewhere in between that seen in the Menditto study and that in all the other studies.

However, talking about significant intracranial hemorrhage, ones that perhaps need neurosurgery, I believe most of them are not significant. There’s some number that do occur, but the vast majority of those probably don’t need neurosurgery. We had 14 delayed bleeds out of 6000 patients with head trauma. One of them ended up requiring neurosurgery, so the answer is not zero, but I don’t think it’s 7% either. 

Dr. Glatter: Dr. Shenvi, I want to bring you into the conversation to talk about your experience at UNC, and how you run things in terms of older patients with blunt head trauma on preinjury anticoagulants.

Dr. Shenvi: Thanks, Rob. I remember when this paper came out showing this 7% rate of delayed bleeding and the question was, “Should we be admitting all these people?” Partly just from an overwhelming need for capacity that that would bring, it just wasn’t practical to say, “We’re going to admit every patient with a negative head CT to the hospital and rescan them.” That would be hundreds or thousands of patients each year in any given facility. 

The other thing is that delayed bleeds don’t always happen just in the first 24 hours. It’s not even a matter of bringing patients into observation for 24 hours, watching them, and rescanning them if they have symptoms. It can occur several days out. That never, in almost any institution that I know of, became standard practice. 

The way that it did change my care was to give good return precautions to patients, to make sure they have somebody with them to say, “Hey, sometimes you can have bleeding several days out after a fall, even though your CT scan here today looks perfect,” and to alert them that if they start having severe headaches, vomiting, or other symptoms of intracranial hemorrhage, that they should come back. 

I don’t think it ever became standard practice, and for good reason, because that was one study. The subsequent studies that Richard mentioned, pretty quickly on the heels of that initial one, showed a much lower rate of delayed ICH with the caveats that the methodology was different. 
 

 

 

Shift in Anticoagulants

Dr. Shenvi: One other big change from that original study, and now to Richard’s study, is the shift in anticoagulants. Back in the initial study you mentioned, it was all warfarin. We know from other studies looking at warfarin vs the direct oral anticoagulants (DOACs) that DOACs have lower rates of ICH after a head injury, lower rates of need for neurosurgical intervention, and lower rates of discharge to a skilled nursing facility after an intracranial hemorrhage.

Across the board, we know that the DOACs tend to do better. It’s difficult to compare newer studies because it’s a different medication. It did inform my practice to have an awareness of delayed intracranial hemorrhage so that I warn patients more proactively. 

Dr. Glatter: I haven’t seen a patient on warfarin in years. I don’t know if either of you have, but it’s all DOACs now unless there’s some other reason. That shift is quite apparent.

Dr. Shih: The problem with looking at delayed bleeding for DOACs vs warfarin is the numbers were so low. I think we had 13 people, and seven were in the no-anticoagulant group. The numbers are even lower, so it’s hard to say. 

I just wanted to comment on something that Dr. Shenvi said, and I pretty much agree with everything that she said. Anticoagulants and warfarin, and that Menditto study, have a carryover effect. People group DOACs with warfarin similarly. When a patient is brought in, the first thing they talk about with head trauma is, “Oh, they’re on an anticoagulant” or “They’re not on an anticoagulant.” It’s so ingrained.

I believe that, in emergency medicine, we’re pressed for space and time and we’re not as affected by that 24-hour observation. Maybe many of our surgeons will automatically admit those patients. 

I haven’t seen a guideline from the United States, but there are two international guidelines. One is from Austria from 2019, and one is from Scandinavia. Both recommended 24-hour observation if you’re on an anticoagulant.

There is a bit of controversy left over with that. Hopefully, as more and more of information, like in our study, comes out, people will be a little bit more clear about it. I don’t think there’s a need to routinely admit them. 

I do want to mention that the Menditto study had such a massive impact on everybody. They pointed out one subgroup (and it’s such a small number of patients). They had seven cases of delayed bleeding; four or five of them were within that 24 hours, and a couple were diagnosed later over the next couple days.

Of those seven people, four of them had international normalized ratios (INRs) greater than 3. Of those four patients, I’ve heard people talk about this and recommend, “Okay, that’s the subgroup I would admit.” There’s a toss-up with what to do with DOAC because it’s very hard to tell whether there’s an issue, whether there are problems with their dosing, and whatever. 

We actually recently looked at that. We have a much larger sample than four: close to 300 patients who were on warfarin. We looked at patients who had INRs below 3 and above 3, and we didn’t show a difference. We still don’t believe that warfarin is a big issue with delayed bleeding.
 

 

 

Should We Be Asking: ‘Are They on Blood Thinners?’

Dr. Shenvi: One of the interesting trends related to warfarin and the DOACs vs no anticoagulant is that as you mentioned, Dr Shih, the first question out of people’s mouths or the first piece of information emergency medical services gives you when they come in with a patient who’s had a head injury is, “Are they on blood thinners or not?”

Yet, the paradigm is shifting to say it’s not actually the blood thinners themselves that are giving older patients the higher risk for bleeding; it’s age and other comorbidities.

Certainly, if you’re on an anticoagulant and you start to bleed, your prognosis is much worse because the bleeding doesn’t stop. In terms of who has a bleeding event, there’s much less impact of anticoagulation than we used to think. That, in part, may be due to the change from warfarin to other medications.

Some of the experts I’ve talked to who have done the research on this have said, “Well, actually, warfarin was more of a marker for being much older and more frail, because it was primarily prescribed to older patients who have significant heart disease, atrial fibrillation, and so on.” It was more a marker for somebody who is at risk for an intracranial hemorrhage. There are many changes that have happened in the past 10 years with medications and also our understanding. 
 

Challenges in Patient Follow-up

Dr. Glatter: That’s a great point. One thing, Rich, I want to ask you about is in terms of your proxy outcome assessment. When you use that at 14 and 60 days with telephone follow-up and then chart review at 60 and 90 days (because, obviously, everyone can’t get another head CT or it’s difficult to follow patients up), did you find that worked out well in your prospective cohort study, in terms of using that as a proxy, so to speak? 

Dr. Shih: I would say to a certain extent. Unfortunately, we don’t have access to the patients to come back to follow up all of them, and there was obviously a large number of patients in our study. 

The next best thing was that we had dedicated research assistants calling all of the patients at 14 days and 60 days. I’ve certainly read research studies where, when they call them, they get 80%-90% follow-up, but we did not achieve that.

I don’t know if people are more inundated with spam phone calls now, or the older people are just afraid of picking up their phone sometimes with all the scams and so forth. I totally understand, but in all honesty, we only had about a 30%-35% follow-up using that follow-up pathway. 

Then the proxy pathway was to look at their charts at 60 and 90 days. Also, we looked at the Florida death registry, which is pretty good, and then finally, we had both Level I trauma centers in the county that we were in participating. It’s standard practice that if you have an intracranial hemorrhage at a non–Level I trauma center, you would be transferred to a Level I trauma center. That’s the protocol. I know that’s not followed 100% of the time, but that’s part of the proxy follow-up. You could criticize the study for not having closer to 90% actual contact, but that’s the best we could do. 

Dr. Glatter: I think that’s admirable. Using that paradigm of what you described certainly allows the reader to understand the difficulty in assessing patients that don’t get follow-up head CT, and hardly anyone does that, as we know.

To your point of having both Level I trauma centers in the county, that makes it pretty secure. If we’re going to do a study encompassing a similar type of regional aspect, it would be similar.

Dr. Shenvi: I think your proxies, to your credit, were as good as you can get. You can never get a 100% follow-up, but you really looked at all the different avenues by which patients might present, either in the death registry or a Level I center. Well done on that aspect.

 

 

 

Determining When to Admit Patients for Observation

Dr. Glatter: In terms of admissions: You admit a patient, then you hear back that this patient should not have been admitted because they had a negative head CT, but you put them in anyway in the sense of delayed bleeding happening or not happening.

It’s interesting. Maybe the insurers will start looking at this in some capacity, based on your study, that because it’s so infrequent that you see delayed bleeding, that admitting someone for any reason whatsoever would be declined. Do you see that being an issue? In other words, [do you see] this leading to a pattern in terms of the payers?

Dr. Shih: Certainly, you could interpret it that way, and that would be unfortunate. The [incidence of] delayed bleeding is definitely not zero. That’s the first thing. 

The second thing is that when you’re dealing with an older population, having some sense that they’re not doing well is an important contributor to trying to fully assess what’s going on — whether or not they have a bleed or whether they’re at risk for falling again and then hitting their head and causing a second bleed, and making sure they can do the activities of daily life. There really should be some room for a physician to say, “They just got here, and we don’t know him that well. There’s something that bothers me about this person” and have the ability to watch them for at least another 24 hours. That’s how I feel. 

Dr. Shenvi: In my location, it would be difficult to try to admit somebody purely for observation for delayed bleeding. I think we would get a lot of pushback on that. The reasons I might admit a patient after a fall with a negative head CT, though, are all the things that, Rob, you alluded to earlier — which are, what made them fall in the first place and were they unable to get up? 

I had this happen just this week. A patient who fell couldn’t get off the ground for 12 hours, and so now she’s dehydrated and delirious with slight rhabdomyolysis. Then you’re admitting them either for the sequelae of the fall that are not related to the intracranial hemorrhage, or the fact that they are so debilitated and deconditioned that they cannot take care of themselves. They need physical therapy. Often, we will have physical and occupational therapists come see them in the ED during business hours and help make an assessment of whether they are safe to go home or whether they fall again. That can give more evidence for the need for admission.

Dr. Glatter: To bring artificial intelligence into this discussion, algorithms that are out there that say, “Push a button and the patient’s safe for discharge.” Well, this argues for a clinical gestalt and a human being to make an assessment because you can use these predictive models, which are coming and they’re going to be here soon, and they already are in some sense. Again, we have to use clinical human judgment. 

Dr. Shih: I agree. 
 

 

 

Advice for Primary Care Physicians

Dr. Glatter: What return precautions do you discuss with patients who’ve had blunt head trauma that maybe had a head CT, or even didn’t? What are the main things we’re looking for?

Dr. Shenvi: What I usually tell people is if you start to have a worse headache, nausea or vomiting, any weakness in one area of your body, or vision changes, and if there’s a family member or friend there, I’ll say, “If you notice that they’re acting differently or seem confused, come back.”

Dr. Shih: I agree with what she said, and I’m also going to add one thing. The most important part is they are trying to prevent a subsequent fall. We know that when they’ve fallen and they present to the ED, they’re at even higher risk for falling and reinjuring themselves, and that’s a population that’s already at risk.

One of the secondary studies that we published out of this project was looking at follow-up with their primary care physicians, and there were two things that we wanted to address. The first was, how often did they do it? Then, when they did do it, did their primary care physicians try to address and prevent subsequent falls?

Both the answers are actually bad. Amazingly, just over like 60% followed up. 

In some of our subsequent research, because we’re in the midst of a randomized, controlled trial where we do a home visit, when we initially see these individuals that have fallen, they’ll schedule a home visit for us. Then a week or two later, when we schedule the home visit, many of them cancel because they think, Oh, that was a one-off and it’s not going to happen again. Part of the problem is the patients, because many of them believe that they just slipped and fell and it’s not going to happen again, or they’re not prone to it.

The second issue was when patients did go to a primary care physician, we have found that some primary care physicians believe that falling and injuring themselves is just part of the normal aging process. A percentage of them don’t go over assessment for fall risk or even initiate fall prevention treatments or programs. 

I try to take that time to tell them that this is very common in their age group, and believe it or not, a fall from standing is the way people really injure themselves, and there may be ways to prevent subsequent falls and injuries. 

Dr. Glatter: Absolutely. Do you find that their medications are a contributor in some sense? Say they’re antihypertensive, have issues of orthostasis, or a new medication was added in the last week. 

Dr. Shenvi: It’s all of the above. Sometimes it’s one thing, like they just started tamsulosin for their kidney stone, they stood up, they felt lightheaded, and they fell. Usually, it’s multifactorial with some changes in their gait, vision, balance, reflex time, and strength, plus the medications or the need for assistive devices. Maybe they can’t take care of their home as well as they used to and there are things on the floor. It’s really all of the above.
 

 

 

‘Harder to Unlearn Something Than to Learn It’

Dr. Glatter: Would either of you like to add any additional points to the discussion or add a few pearls? 

Dr. Shenvi: This just highlights the challenge of how it’s harder to unlearn something than to learn it, where one study that maybe wasn’t quite looking at what we needed to, or practice and prescribing patterns have changed, so it’s no longer really relevant. 

The things that we learned from that, or the fears that we instilled in our minds of, Uh oh, they could go home and have delayed bleeding, are much harder to unlearn, and it takes more studies to unlearn that idea than it did to actually put it into place. 

I’m glad that your team has done this much larger, prospective study and hopefully will reduce the concern about this entity. 

Dr. Shih: I appreciate that segue. It is amazing that, for paramedics and medical students, the first thing out of their mouth is, “Are they on an anticoagulant?”

In terms of the risk of developing an intracranial hemorrhage, I think it’s much less than the weight we’ve put on it before. However, I believe if they have a bleed, the bleeds are worse. It’s kind of a double-edged sword. It’s still an important factor, but it doesn’t come with the Oh my gosh, they’re on an anticoagulant that everybody thinks about.
 

No. 1 Cause of Traumatic Injury Is a Fall from Standing

Dr. Glatter: These are obviously ground-level falls in most patients and not motor vehicle crashes. That’s an important part in the population that you looked at that should be mentioned clearly. 

Dr. Shih: It’s astonishing. I’ve been a program director for over 20 years, and geriatrics is not well taught in the curriculum. It’s astonishing for many of our trainees and emergency physicians in general that the number-one cause for traumatic injury is a fall from standing.

Certainly, we get patients coming in the trauma center like a 95-year-old person who’s on a ladder putting up his Christmas lights. I’m like, oh my God. 

For the vast majority, it’s closer to 90%, but in our study, for the patients we looked at, it was 80% that fall from standing. That’s the mechanism that causes these bleeds and these major injuries. 

Dr. Shenvi: That’s reflective of what we see, so it’s good that that’s what you looked at also. 

Dr. Glatter: Absolutely. Well, thank you both. This has been a very informative discussion. I appreciate your time, and our readers will certainly benefit from your knowledge and expertise. Thank you again.

Dr. Glatter, assistant professor of emergency medicine at Zucker School of Medicine at Hofstra/Northwell in Hempstead, New York, is a medical adviser for this news organization. He disclosed having no relevant financial conflicts. Dr. Shih is professor of emergency medicine at the Charles E. Schmidt College of Medicine at Florida Atlantic University, Boca Raton. His current grant funding and area of research interest involves geriatric emergency department patients with head injury and fall-related injury. He disclosed receiving a research grant from The Florida Medical Malpractice Joint Underwriting Association Grant for Safety of Health Care Services). Dr. Shenvi, associate professor of emergency medicine at the University of North Carolina at Chapel Hill, disclosed ties with the American College of Emergency Physicians, Institute for Healthcare Improvement, AstraZeneca, and CurvaFix.

A version of this article appeared on Medscape.com.

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Primary Care Physicians Track an Average of 57 Quality Measures for Value-Based Care Pay

Article Type
Changed
Thu, 09/05/2024 - 12:04

A new analysis suggests one reason doctors are wary of value-based care arrangements: Overkill.

Researchers found that primary care physicians in one large integrated health system were required to track an average of 57 different quality measures across multiple insurers that linked outcomes to payments under value-based contracts.

Medicare contracts were the most likely to pile quality measures on physicians with an average of 13.42 measures vs 10.07 for commercial insurer contracts and 5.37 for Medicaid contracts, reported Claire Boone, PhD, of the University of Chicago in Illinois and Providence Research Network, Portland, Oregon, and colleagues in JAMA Health Forum. The analysis, which may be the first of its kind, tracked 890 primary care physicians from 2020 to 2022.

The average of 57 quality measures per physician was unexpectedly high, Dr. Boone said in an interview.

“The magnitude of that number surprised us,” Dr. Boone said. “Primary care physicians and their practices have a lot on their plate. Now we know that one of those things is a very large number of different quality metrics to pay attention to, measure, report on, and implement.

Value-based care programs use quality measures to evaluate how well clinicians are doing their jobs and adjust reimbursement accordingly. A payer, for example, may raise reimbursements if a clinician has higher numbers of patients who meet quality measure standards for depression screening or blood pressure.

Dr. Boone said her research group is studying the impact of quality measures and was surprised that data showed individual primary care physicians had to deal with a high number of value-based contracts.

The researchers tracked value-based contracts for 890 physicians (58.3% women, 41.7% men) in an unidentified West Coast Health system. (Several study authors work for the Providence Health System, which serves several Western States and Texas.) The average number of patients per physician was 1309.

The physicians were part of an average of 11.18 value-based contracts (commercial insurers, 49.50%; Medicaid, 21.49%; and Medicare, 29.01%). This number grew from 9.39 in 2020 to 12.26 in 2022. Quality measure data weren’t available for 29% of contracts.

Quality measures were considered unique if they referenced different conditions.

For example, colorectal cancer screening is unique from depression screening. The researchers also considered measures for the same condition unique if the target value differed — for example, blood pressure control defined as < 140/90 vs blood pressure control defined as < 130/80, Dr. Boone said.

Dr. Boone said she expected payers to coordinate quality measures.

“The fact that they largely are not is really the main finding of this paper. Without coordination, the use of value-based contracts and quality measures at scale leads to many unique measures being used. This may reflect the fact that there are so many important tasks to do in primary care, and there’s no consensus on which ones should be included in quality-based contracts.”

Ronald N. Adler, MD, an associate professor in the Department of Family Medicine and Community Health at UMass Chan Medical School, Worcester, Massachusetts, who’s familiar with the findings but didn’t take part in the research, said the study offers something new — the quantification of quality measures.

He said in an interview that physicians deal with quality measures in different ways. Some clinicians “don’t really care,” and have an attitude of “this is not why I got into medicine.” But others “are very competitive around this, and it leads to a lot of a lot of stress. Trying to address 50-plus measures is impossible and demoralizing.”

The metrics may measure things like mammogram screening that are out of the physician’s control, Dr. Adler said. “I can recommend a mammogram, and my patient can choose not to do it. Or maybe my patient is homeless; she doesn’t have transportation, and it’s not a priority for her, even though she wants to do it.”

Patients may not take medication as prescribed, or they may be unable to afford it, he said. “Can they afford to eat healthy foods? Or is ramen all they can afford, and their sugars are through the roof? There are a lot of factors at play here that are independent of the quality of care provided by the doctor.”

As for his own approach, Dr. Adler said he worries about some measures more than others. “I’m very proactive about screening my patients for colon cancer and maybe a little less so about mammography.”

For colon cancer screening, “there are a lot of benefits and not that many harms as opposed to mammography, which has harms such as false positives and overdiagnosis of breast cancer.”

Dr. Adler is a member of the Quality Measure Alignment Taskforce in Massachusetts, which is trying to establish consensus on appropriate quality measures. But payer participation is voluntary. “Our health systems are too siloed ... so there is no readily available mechanism for enforcing such recommendations.”

Wayne Altman, MD, chair of Family Medicine at Tufts University School of Medicine, Boston, Massachusetts, is also familiar with the study findings but didn’t take part in the research. He said in an interview that clinicians shouldn’t have to deal with more than 5-10 quality measures in total.

He pointed out that many measures don’t make sense in certain populations. Titrating blood pressure to < 140/90 isn’t ideal for elderly patients because aggressive control can send their blood pressure dangerously low. “They’re going to fall down, break a hip, and likely die within a year. You have to have the right population and be aware of unintended consequences.”

Still, Dr. Adler noted, there’s an important role for quality measures in healthcare.

“We need data to inform our quality improvement activities, but they need to be the right measures. People can’t respond reasonably to improve on 50-plus measures,” he said. “They need to be consolidated and prioritized. It would be really helpful if we could have a much lower number of measures that are meaningful, safe, and connect to things that matter.”

No funding has been reported. Dr. Boone disclosed a grant from the National Institute on Aging. Dr. Adler and Dr. Altman had no disclosures.

A version of this article first appeared on Medscape.com.

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A new analysis suggests one reason doctors are wary of value-based care arrangements: Overkill.

Researchers found that primary care physicians in one large integrated health system were required to track an average of 57 different quality measures across multiple insurers that linked outcomes to payments under value-based contracts.

Medicare contracts were the most likely to pile quality measures on physicians with an average of 13.42 measures vs 10.07 for commercial insurer contracts and 5.37 for Medicaid contracts, reported Claire Boone, PhD, of the University of Chicago in Illinois and Providence Research Network, Portland, Oregon, and colleagues in JAMA Health Forum. The analysis, which may be the first of its kind, tracked 890 primary care physicians from 2020 to 2022.

The average of 57 quality measures per physician was unexpectedly high, Dr. Boone said in an interview.

“The magnitude of that number surprised us,” Dr. Boone said. “Primary care physicians and their practices have a lot on their plate. Now we know that one of those things is a very large number of different quality metrics to pay attention to, measure, report on, and implement.

Value-based care programs use quality measures to evaluate how well clinicians are doing their jobs and adjust reimbursement accordingly. A payer, for example, may raise reimbursements if a clinician has higher numbers of patients who meet quality measure standards for depression screening or blood pressure.

Dr. Boone said her research group is studying the impact of quality measures and was surprised that data showed individual primary care physicians had to deal with a high number of value-based contracts.

The researchers tracked value-based contracts for 890 physicians (58.3% women, 41.7% men) in an unidentified West Coast Health system. (Several study authors work for the Providence Health System, which serves several Western States and Texas.) The average number of patients per physician was 1309.

The physicians were part of an average of 11.18 value-based contracts (commercial insurers, 49.50%; Medicaid, 21.49%; and Medicare, 29.01%). This number grew from 9.39 in 2020 to 12.26 in 2022. Quality measure data weren’t available for 29% of contracts.

Quality measures were considered unique if they referenced different conditions.

For example, colorectal cancer screening is unique from depression screening. The researchers also considered measures for the same condition unique if the target value differed — for example, blood pressure control defined as < 140/90 vs blood pressure control defined as < 130/80, Dr. Boone said.

Dr. Boone said she expected payers to coordinate quality measures.

“The fact that they largely are not is really the main finding of this paper. Without coordination, the use of value-based contracts and quality measures at scale leads to many unique measures being used. This may reflect the fact that there are so many important tasks to do in primary care, and there’s no consensus on which ones should be included in quality-based contracts.”

Ronald N. Adler, MD, an associate professor in the Department of Family Medicine and Community Health at UMass Chan Medical School, Worcester, Massachusetts, who’s familiar with the findings but didn’t take part in the research, said the study offers something new — the quantification of quality measures.

He said in an interview that physicians deal with quality measures in different ways. Some clinicians “don’t really care,” and have an attitude of “this is not why I got into medicine.” But others “are very competitive around this, and it leads to a lot of a lot of stress. Trying to address 50-plus measures is impossible and demoralizing.”

The metrics may measure things like mammogram screening that are out of the physician’s control, Dr. Adler said. “I can recommend a mammogram, and my patient can choose not to do it. Or maybe my patient is homeless; she doesn’t have transportation, and it’s not a priority for her, even though she wants to do it.”

Patients may not take medication as prescribed, or they may be unable to afford it, he said. “Can they afford to eat healthy foods? Or is ramen all they can afford, and their sugars are through the roof? There are a lot of factors at play here that are independent of the quality of care provided by the doctor.”

As for his own approach, Dr. Adler said he worries about some measures more than others. “I’m very proactive about screening my patients for colon cancer and maybe a little less so about mammography.”

For colon cancer screening, “there are a lot of benefits and not that many harms as opposed to mammography, which has harms such as false positives and overdiagnosis of breast cancer.”

Dr. Adler is a member of the Quality Measure Alignment Taskforce in Massachusetts, which is trying to establish consensus on appropriate quality measures. But payer participation is voluntary. “Our health systems are too siloed ... so there is no readily available mechanism for enforcing such recommendations.”

Wayne Altman, MD, chair of Family Medicine at Tufts University School of Medicine, Boston, Massachusetts, is also familiar with the study findings but didn’t take part in the research. He said in an interview that clinicians shouldn’t have to deal with more than 5-10 quality measures in total.

He pointed out that many measures don’t make sense in certain populations. Titrating blood pressure to < 140/90 isn’t ideal for elderly patients because aggressive control can send their blood pressure dangerously low. “They’re going to fall down, break a hip, and likely die within a year. You have to have the right population and be aware of unintended consequences.”

Still, Dr. Adler noted, there’s an important role for quality measures in healthcare.

“We need data to inform our quality improvement activities, but they need to be the right measures. People can’t respond reasonably to improve on 50-plus measures,” he said. “They need to be consolidated and prioritized. It would be really helpful if we could have a much lower number of measures that are meaningful, safe, and connect to things that matter.”

No funding has been reported. Dr. Boone disclosed a grant from the National Institute on Aging. Dr. Adler and Dr. Altman had no disclosures.

A version of this article first appeared on Medscape.com.

A new analysis suggests one reason doctors are wary of value-based care arrangements: Overkill.

Researchers found that primary care physicians in one large integrated health system were required to track an average of 57 different quality measures across multiple insurers that linked outcomes to payments under value-based contracts.

Medicare contracts were the most likely to pile quality measures on physicians with an average of 13.42 measures vs 10.07 for commercial insurer contracts and 5.37 for Medicaid contracts, reported Claire Boone, PhD, of the University of Chicago in Illinois and Providence Research Network, Portland, Oregon, and colleagues in JAMA Health Forum. The analysis, which may be the first of its kind, tracked 890 primary care physicians from 2020 to 2022.

The average of 57 quality measures per physician was unexpectedly high, Dr. Boone said in an interview.

“The magnitude of that number surprised us,” Dr. Boone said. “Primary care physicians and their practices have a lot on their plate. Now we know that one of those things is a very large number of different quality metrics to pay attention to, measure, report on, and implement.

Value-based care programs use quality measures to evaluate how well clinicians are doing their jobs and adjust reimbursement accordingly. A payer, for example, may raise reimbursements if a clinician has higher numbers of patients who meet quality measure standards for depression screening or blood pressure.

Dr. Boone said her research group is studying the impact of quality measures and was surprised that data showed individual primary care physicians had to deal with a high number of value-based contracts.

The researchers tracked value-based contracts for 890 physicians (58.3% women, 41.7% men) in an unidentified West Coast Health system. (Several study authors work for the Providence Health System, which serves several Western States and Texas.) The average number of patients per physician was 1309.

The physicians were part of an average of 11.18 value-based contracts (commercial insurers, 49.50%; Medicaid, 21.49%; and Medicare, 29.01%). This number grew from 9.39 in 2020 to 12.26 in 2022. Quality measure data weren’t available for 29% of contracts.

Quality measures were considered unique if they referenced different conditions.

For example, colorectal cancer screening is unique from depression screening. The researchers also considered measures for the same condition unique if the target value differed — for example, blood pressure control defined as < 140/90 vs blood pressure control defined as < 130/80, Dr. Boone said.

Dr. Boone said she expected payers to coordinate quality measures.

“The fact that they largely are not is really the main finding of this paper. Without coordination, the use of value-based contracts and quality measures at scale leads to many unique measures being used. This may reflect the fact that there are so many important tasks to do in primary care, and there’s no consensus on which ones should be included in quality-based contracts.”

Ronald N. Adler, MD, an associate professor in the Department of Family Medicine and Community Health at UMass Chan Medical School, Worcester, Massachusetts, who’s familiar with the findings but didn’t take part in the research, said the study offers something new — the quantification of quality measures.

He said in an interview that physicians deal with quality measures in different ways. Some clinicians “don’t really care,” and have an attitude of “this is not why I got into medicine.” But others “are very competitive around this, and it leads to a lot of a lot of stress. Trying to address 50-plus measures is impossible and demoralizing.”

The metrics may measure things like mammogram screening that are out of the physician’s control, Dr. Adler said. “I can recommend a mammogram, and my patient can choose not to do it. Or maybe my patient is homeless; she doesn’t have transportation, and it’s not a priority for her, even though she wants to do it.”

Patients may not take medication as prescribed, or they may be unable to afford it, he said. “Can they afford to eat healthy foods? Or is ramen all they can afford, and their sugars are through the roof? There are a lot of factors at play here that are independent of the quality of care provided by the doctor.”

As for his own approach, Dr. Adler said he worries about some measures more than others. “I’m very proactive about screening my patients for colon cancer and maybe a little less so about mammography.”

For colon cancer screening, “there are a lot of benefits and not that many harms as opposed to mammography, which has harms such as false positives and overdiagnosis of breast cancer.”

Dr. Adler is a member of the Quality Measure Alignment Taskforce in Massachusetts, which is trying to establish consensus on appropriate quality measures. But payer participation is voluntary. “Our health systems are too siloed ... so there is no readily available mechanism for enforcing such recommendations.”

Wayne Altman, MD, chair of Family Medicine at Tufts University School of Medicine, Boston, Massachusetts, is also familiar with the study findings but didn’t take part in the research. He said in an interview that clinicians shouldn’t have to deal with more than 5-10 quality measures in total.

He pointed out that many measures don’t make sense in certain populations. Titrating blood pressure to < 140/90 isn’t ideal for elderly patients because aggressive control can send their blood pressure dangerously low. “They’re going to fall down, break a hip, and likely die within a year. You have to have the right population and be aware of unintended consequences.”

Still, Dr. Adler noted, there’s an important role for quality measures in healthcare.

“We need data to inform our quality improvement activities, but they need to be the right measures. People can’t respond reasonably to improve on 50-plus measures,” he said. “They need to be consolidated and prioritized. It would be really helpful if we could have a much lower number of measures that are meaningful, safe, and connect to things that matter.”

No funding has been reported. Dr. Boone disclosed a grant from the National Institute on Aging. Dr. Adler and Dr. Altman had no disclosures.

A version of this article first appeared on Medscape.com.

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FROM JAMA HEALTH FORUM

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Gram Stain Doesn’t Improve UTI Diagnosis in the ED

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Wed, 09/04/2024 - 14:15

 

TOPLINE: 

Compared with other urine analysis methods, urine Gram stain has a moderate predictive value for detecting gram-negative bacteria in urine culture but does not significantly improve urinary tract infection (UTI) diagnosis in the emergency department (ED).

METHODOLOGY:

  • Researchers conducted an observational cohort study at the University Medical Center Groningen in the Netherlands, encompassing 1358 episodes across 1136 patients suspected of having a UTI.
  • The study included the following predefined subgroups: patients using urinary catheters and patients with leukopenia (< 4.0×10⁹ leucocytes/L). Urine dipstick nitrite, automated urinalysis, Gram stain, and urine cultures were performed on urine samples collected from patients presenting at the ED.
  • The sensitivity and specificity of Gram stain for “many” bacteria (quantified as > 15/high power field) were compared with those of urine dipstick nitrite and automated bacterial counting in urinalysis.

TAKEAWAY:

  • The sensitivity and specificity of Gram stain for “many” bacteria were 51.3% and 91.0%, respectively, with an accuracy of 76.8%.
  • Gram stain showed a positive predictive value (PPV) of 84.7% for gram-negative rods in urine culture; however, the PPV was only 38.4% for gram-positive cocci.
  • In the catheter subgroup, the presence of monomorphic bacteria quantified as “many” had a higher PPV for diagnosing a UTI than the presence of polymorphic bacteria with the same quantification.
  • The overall performance of Gram stain in diagnosing a UTI in the ED was comparable to that of automated bacterial counting in urinalysis but better than that of urine dipstick nitrite.

IN PRACTICE:

“With the exception of a moderate prediction of gram-negative bacteria in the UC [urine culture], urine GS [Gram stain] does not improve UTI diagnosis at the ED compared to other urine parameters,” the authors wrote.

SOURCE:

The study was led by Stephanie J.M. Middelkoop, University of Groningen, University Medical Center Groningen, the Netherlands. It was published online on August 16, 2024, in Infectious Diseases.

LIMITATIONS: 

The study’s limitations included a small sample size within the leukopenia subgroup, which may have affected the generalizability of the findings. Additionally, the potential influence of refrigeration of urine samples on bacterial growth could have affected the results. In this study, indwelling catheters were not replaced before urine sample collection, which may have affected the accuracy of UTI diagnosis in patients using catheters.
 

DISCLOSURES:

No conflicts of interest were disclosed by the authors.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.

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TOPLINE: 

Compared with other urine analysis methods, urine Gram stain has a moderate predictive value for detecting gram-negative bacteria in urine culture but does not significantly improve urinary tract infection (UTI) diagnosis in the emergency department (ED).

METHODOLOGY:

  • Researchers conducted an observational cohort study at the University Medical Center Groningen in the Netherlands, encompassing 1358 episodes across 1136 patients suspected of having a UTI.
  • The study included the following predefined subgroups: patients using urinary catheters and patients with leukopenia (< 4.0×10⁹ leucocytes/L). Urine dipstick nitrite, automated urinalysis, Gram stain, and urine cultures were performed on urine samples collected from patients presenting at the ED.
  • The sensitivity and specificity of Gram stain for “many” bacteria (quantified as > 15/high power field) were compared with those of urine dipstick nitrite and automated bacterial counting in urinalysis.

TAKEAWAY:

  • The sensitivity and specificity of Gram stain for “many” bacteria were 51.3% and 91.0%, respectively, with an accuracy of 76.8%.
  • Gram stain showed a positive predictive value (PPV) of 84.7% for gram-negative rods in urine culture; however, the PPV was only 38.4% for gram-positive cocci.
  • In the catheter subgroup, the presence of monomorphic bacteria quantified as “many” had a higher PPV for diagnosing a UTI than the presence of polymorphic bacteria with the same quantification.
  • The overall performance of Gram stain in diagnosing a UTI in the ED was comparable to that of automated bacterial counting in urinalysis but better than that of urine dipstick nitrite.

IN PRACTICE:

“With the exception of a moderate prediction of gram-negative bacteria in the UC [urine culture], urine GS [Gram stain] does not improve UTI diagnosis at the ED compared to other urine parameters,” the authors wrote.

SOURCE:

The study was led by Stephanie J.M. Middelkoop, University of Groningen, University Medical Center Groningen, the Netherlands. It was published online on August 16, 2024, in Infectious Diseases.

LIMITATIONS: 

The study’s limitations included a small sample size within the leukopenia subgroup, which may have affected the generalizability of the findings. Additionally, the potential influence of refrigeration of urine samples on bacterial growth could have affected the results. In this study, indwelling catheters were not replaced before urine sample collection, which may have affected the accuracy of UTI diagnosis in patients using catheters.
 

DISCLOSURES:

No conflicts of interest were disclosed by the authors.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.

 

TOPLINE: 

Compared with other urine analysis methods, urine Gram stain has a moderate predictive value for detecting gram-negative bacteria in urine culture but does not significantly improve urinary tract infection (UTI) diagnosis in the emergency department (ED).

METHODOLOGY:

  • Researchers conducted an observational cohort study at the University Medical Center Groningen in the Netherlands, encompassing 1358 episodes across 1136 patients suspected of having a UTI.
  • The study included the following predefined subgroups: patients using urinary catheters and patients with leukopenia (< 4.0×10⁹ leucocytes/L). Urine dipstick nitrite, automated urinalysis, Gram stain, and urine cultures were performed on urine samples collected from patients presenting at the ED.
  • The sensitivity and specificity of Gram stain for “many” bacteria (quantified as > 15/high power field) were compared with those of urine dipstick nitrite and automated bacterial counting in urinalysis.

TAKEAWAY:

  • The sensitivity and specificity of Gram stain for “many” bacteria were 51.3% and 91.0%, respectively, with an accuracy of 76.8%.
  • Gram stain showed a positive predictive value (PPV) of 84.7% for gram-negative rods in urine culture; however, the PPV was only 38.4% for gram-positive cocci.
  • In the catheter subgroup, the presence of monomorphic bacteria quantified as “many” had a higher PPV for diagnosing a UTI than the presence of polymorphic bacteria with the same quantification.
  • The overall performance of Gram stain in diagnosing a UTI in the ED was comparable to that of automated bacterial counting in urinalysis but better than that of urine dipstick nitrite.

IN PRACTICE:

“With the exception of a moderate prediction of gram-negative bacteria in the UC [urine culture], urine GS [Gram stain] does not improve UTI diagnosis at the ED compared to other urine parameters,” the authors wrote.

SOURCE:

The study was led by Stephanie J.M. Middelkoop, University of Groningen, University Medical Center Groningen, the Netherlands. It was published online on August 16, 2024, in Infectious Diseases.

LIMITATIONS: 

The study’s limitations included a small sample size within the leukopenia subgroup, which may have affected the generalizability of the findings. Additionally, the potential influence of refrigeration of urine samples on bacterial growth could have affected the results. In this study, indwelling catheters were not replaced before urine sample collection, which may have affected the accuracy of UTI diagnosis in patients using catheters.
 

DISCLOSURES:

No conflicts of interest were disclosed by the authors.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.

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The Wellness Industry: Financially Toxic, Says Ethicist

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Wed, 09/04/2024 - 13:51

 



This transcript has been edited for clarity.

Hi. I’m Art Caplan. I’m at the Division of Medical Ethics at the NYU Grossman School of Medicine in New York City. 

We have many debates and arguments that are swirling around about the out-of-control costs of Medicare. Many people are arguing we’ve got to trim it and cut back, and many people note that we can’t just go on and on with that kind of expenditure.

People look around for savings. Rightly, we can’t go on with the prices that we’re paying. No system could. We’ll bankrupt ourselves if we don’t drive prices down. 

There’s another area that is driving up cost where, despite the fact that Medicare doesn’t pay for it, we could capture resources and hopefully shift them back to things like Medicare coverage or the insurance of other efficacious procedures. That area is the wellness industry. 

I looked up a number recently, and I was shocked to see that worldwide, $1.8 trillion is being spent on wellness, including billions in the US. Again, Medicare doesn’t pay for that. That’s money coming out of people’s pockets that we could hopefully aim at the payment of things that we know work, not seeing the money drain out to cover bunk, nonsense, and charlatanism.

Does any or most of this stuff work? Do anything? Help anybody? No. We are spending money on charlatans and quacks. The US Food and Drug Administration (FDA), which you might think is the agency that could step in and start to get rid of some of this nonsense, is just too overwhelmed trying to track drugs, devices, and vaccines to give much attention to the wellness industry.

What am I talking about specifically? I’m talking about everything from gut probiotics that are sold in sodas to probiotic facial creams and the Goop industry of Gwyneth Paltrow, where you have people buying things like wellness mats or vaginal eggs that are supposed to maintain gynecologic health.

We’re talking about things like PEMF, or pulse electronic magnetic fields, where you buy a machine and expose yourself to mild magnetic pulses. I went online to look them up, and the machines cost $5000-$50,000. There’s no evidence that it works. By the way, the machines are not only out there as being sold for pain relief and many other things to humans, but also they’re being sold for your pets.

That industry is completely out of control. Wellness interventions, whether it’s transcranial magnetism or all manner of supplements that are sold in health food stores, over and over again, we see a world in which wellness is promoted but no data are introduced to show that any of it helps, works, or does anybody any good.

It may not be all that harmful, but it’s certainly financially toxic to many people who end up spending good amounts of money using these things. I think doctors need to ask patients if they are using any of these things, particularly if they have chronic conditions. They’re likely, many of them, to be seduced by online advertisement to get involved with this stuff because it’s preventive or it’ll help treat some condition that they have. 

The industry is out of control. We’re trying to figure out how to spend money on things we know work in medicine, and yet we continue to tolerate bunk, nonsense, quackery, and charlatanism, just letting it grow and grow and grow in terms of cost.

That’s money that could go elsewhere. That is money that is being taken out of the pockets of patients. They’re doing things that may even delay medical treatment, which won’t really help them, and they are doing things that perhaps might even interfere with medical care that really is known to be beneficial.

I think it’s time to push for more money for the FDA to regulate the wellness side. I think it’s time for the Federal Trade Commission to go after ads that promise health benefits. I think it’s time to have some honest conversations with patients: What are you using? What are you doing? Tell me about it, and here’s why I think you could probably spend your money in a better way. 
 

Dr. Caplan, director, Division of Medical Ethics, New York University Langone Medical Center, New York, disclosed ties with Johnson & Johnson’s Panel for Compassionate Drug Use (unpaid position). He serves as a contributing author and adviser for Medscape.

A version of this article appeared on Medscape.com.

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This transcript has been edited for clarity.

Hi. I’m Art Caplan. I’m at the Division of Medical Ethics at the NYU Grossman School of Medicine in New York City. 

We have many debates and arguments that are swirling around about the out-of-control costs of Medicare. Many people are arguing we’ve got to trim it and cut back, and many people note that we can’t just go on and on with that kind of expenditure.

People look around for savings. Rightly, we can’t go on with the prices that we’re paying. No system could. We’ll bankrupt ourselves if we don’t drive prices down. 

There’s another area that is driving up cost where, despite the fact that Medicare doesn’t pay for it, we could capture resources and hopefully shift them back to things like Medicare coverage or the insurance of other efficacious procedures. That area is the wellness industry. 

I looked up a number recently, and I was shocked to see that worldwide, $1.8 trillion is being spent on wellness, including billions in the US. Again, Medicare doesn’t pay for that. That’s money coming out of people’s pockets that we could hopefully aim at the payment of things that we know work, not seeing the money drain out to cover bunk, nonsense, and charlatanism.

Does any or most of this stuff work? Do anything? Help anybody? No. We are spending money on charlatans and quacks. The US Food and Drug Administration (FDA), which you might think is the agency that could step in and start to get rid of some of this nonsense, is just too overwhelmed trying to track drugs, devices, and vaccines to give much attention to the wellness industry.

What am I talking about specifically? I’m talking about everything from gut probiotics that are sold in sodas to probiotic facial creams and the Goop industry of Gwyneth Paltrow, where you have people buying things like wellness mats or vaginal eggs that are supposed to maintain gynecologic health.

We’re talking about things like PEMF, or pulse electronic magnetic fields, where you buy a machine and expose yourself to mild magnetic pulses. I went online to look them up, and the machines cost $5000-$50,000. There’s no evidence that it works. By the way, the machines are not only out there as being sold for pain relief and many other things to humans, but also they’re being sold for your pets.

That industry is completely out of control. Wellness interventions, whether it’s transcranial magnetism or all manner of supplements that are sold in health food stores, over and over again, we see a world in which wellness is promoted but no data are introduced to show that any of it helps, works, or does anybody any good.

It may not be all that harmful, but it’s certainly financially toxic to many people who end up spending good amounts of money using these things. I think doctors need to ask patients if they are using any of these things, particularly if they have chronic conditions. They’re likely, many of them, to be seduced by online advertisement to get involved with this stuff because it’s preventive or it’ll help treat some condition that they have. 

The industry is out of control. We’re trying to figure out how to spend money on things we know work in medicine, and yet we continue to tolerate bunk, nonsense, quackery, and charlatanism, just letting it grow and grow and grow in terms of cost.

That’s money that could go elsewhere. That is money that is being taken out of the pockets of patients. They’re doing things that may even delay medical treatment, which won’t really help them, and they are doing things that perhaps might even interfere with medical care that really is known to be beneficial.

I think it’s time to push for more money for the FDA to regulate the wellness side. I think it’s time for the Federal Trade Commission to go after ads that promise health benefits. I think it’s time to have some honest conversations with patients: What are you using? What are you doing? Tell me about it, and here’s why I think you could probably spend your money in a better way. 
 

Dr. Caplan, director, Division of Medical Ethics, New York University Langone Medical Center, New York, disclosed ties with Johnson & Johnson’s Panel for Compassionate Drug Use (unpaid position). He serves as a contributing author and adviser for Medscape.

A version of this article appeared on Medscape.com.

 



This transcript has been edited for clarity.

Hi. I’m Art Caplan. I’m at the Division of Medical Ethics at the NYU Grossman School of Medicine in New York City. 

We have many debates and arguments that are swirling around about the out-of-control costs of Medicare. Many people are arguing we’ve got to trim it and cut back, and many people note that we can’t just go on and on with that kind of expenditure.

People look around for savings. Rightly, we can’t go on with the prices that we’re paying. No system could. We’ll bankrupt ourselves if we don’t drive prices down. 

There’s another area that is driving up cost where, despite the fact that Medicare doesn’t pay for it, we could capture resources and hopefully shift them back to things like Medicare coverage or the insurance of other efficacious procedures. That area is the wellness industry. 

I looked up a number recently, and I was shocked to see that worldwide, $1.8 trillion is being spent on wellness, including billions in the US. Again, Medicare doesn’t pay for that. That’s money coming out of people’s pockets that we could hopefully aim at the payment of things that we know work, not seeing the money drain out to cover bunk, nonsense, and charlatanism.

Does any or most of this stuff work? Do anything? Help anybody? No. We are spending money on charlatans and quacks. The US Food and Drug Administration (FDA), which you might think is the agency that could step in and start to get rid of some of this nonsense, is just too overwhelmed trying to track drugs, devices, and vaccines to give much attention to the wellness industry.

What am I talking about specifically? I’m talking about everything from gut probiotics that are sold in sodas to probiotic facial creams and the Goop industry of Gwyneth Paltrow, where you have people buying things like wellness mats or vaginal eggs that are supposed to maintain gynecologic health.

We’re talking about things like PEMF, or pulse electronic magnetic fields, where you buy a machine and expose yourself to mild magnetic pulses. I went online to look them up, and the machines cost $5000-$50,000. There’s no evidence that it works. By the way, the machines are not only out there as being sold for pain relief and many other things to humans, but also they’re being sold for your pets.

That industry is completely out of control. Wellness interventions, whether it’s transcranial magnetism or all manner of supplements that are sold in health food stores, over and over again, we see a world in which wellness is promoted but no data are introduced to show that any of it helps, works, or does anybody any good.

It may not be all that harmful, but it’s certainly financially toxic to many people who end up spending good amounts of money using these things. I think doctors need to ask patients if they are using any of these things, particularly if they have chronic conditions. They’re likely, many of them, to be seduced by online advertisement to get involved with this stuff because it’s preventive or it’ll help treat some condition that they have. 

The industry is out of control. We’re trying to figure out how to spend money on things we know work in medicine, and yet we continue to tolerate bunk, nonsense, quackery, and charlatanism, just letting it grow and grow and grow in terms of cost.

That’s money that could go elsewhere. That is money that is being taken out of the pockets of patients. They’re doing things that may even delay medical treatment, which won’t really help them, and they are doing things that perhaps might even interfere with medical care that really is known to be beneficial.

I think it’s time to push for more money for the FDA to regulate the wellness side. I think it’s time for the Federal Trade Commission to go after ads that promise health benefits. I think it’s time to have some honest conversations with patients: What are you using? What are you doing? Tell me about it, and here’s why I think you could probably spend your money in a better way. 
 

Dr. Caplan, director, Division of Medical Ethics, New York University Langone Medical Center, New York, disclosed ties with Johnson & Johnson’s Panel for Compassionate Drug Use (unpaid position). He serves as a contributing author and adviser for Medscape.

A version of this article appeared on Medscape.com.

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SURMOUNT-OSA Results: ‘Impressive’ in Improving Sleep Apnea

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Wed, 09/04/2024 - 12:08


This transcript has been edited for clarity

Akshay B. Jain, MD: Welcome. I’m Dr. Akshay Jain, an endocrinologist in Vancouver, Canada, and with me is a very special guest. Today we have Dr. James Kim, a primary care physician working in Calgary, Canada. Both Dr. Kim and I were fortunate to attend the recently concluded American Diabetes Association annual conference in Orlando in June.

We thought we could share with you some of the key learnings that we found very insightful and clinically quite relevant. We were hoping to bring our own conclusion regarding what these findings were, both from a primary care perspective and an endocrinology perspective.

There were so many different studies that, frankly, it was difficult to pick them, but we handpicked a few studies we felt we could do a bit of a deeper dive on, and we’ll talk about each of these studies. 

Welcome, Dr. Kim, and thanks for joining us.

James W. Kim, MBBCh, PgDip, MScCH: Thank you so much, Dr Jain. It’s a pleasure to be here. 

Dr. Jain: Probably the best place to start would be with the SURMOUNT-OSA study. This was highlighted at the American Diabetes Association conference. Essentially, it looked at people who are living with obesity who also had obstructive sleep apnea.

This was a randomized controlled trial where individuals tested either got tirzepatide (trade name, Mounjaro) or placebo treatment. They looked at the change in their apnea-hypopnea index at the end of the study. 

This included both people who were using CPAP machines and those who were not using CPAP machines at baseline. We do know that many individuals with sleep apnea may not use these machines. 

At baseline, their apnea-hypopnea index, or AHI, was greater than 50. At the end of the study, we saw that there was a mean reduction in the AHI by over 60%. That was a big reduction. 

Dr. Kim, what’s the relevance of this study in primary care?

Dr. Kim: Oh, it’s massive. Obstructive sleep apnea is probably one of the most underdiagnosed yet huge cardiac risk factors that we tend to overlook in primary care. We sometimes say, oh, it’s just sleep apnea; what’s the big deal? We know it’s a big problem. We know that more than 50% of people with type 2 diabetes have obstructive sleep apnea, and some studies have even quoted that 90% of their population cohorts had sleep apnea. This is a big deal.

What do we know so far? We know that obstructive sleep apnea, which I’m just going to call OSA, increases the risk for hypertension, bad cholesterol, and worsening blood glucose in terms of A1c and fasting glucose, which eventually leads to myocardial infarction, arrhythmia, stroke, and eventually cardiovascular death. 

We also know that people with type 2 diabetes have an increased risk for OSA. There seems to be a bidirectional relationship between diabetes and OSA. It seems like weight plays the biggest role in terms of developing OSA, and numerous studies have shown this.

Also, thankfully, some of the studies showed that weight loss improves not just OSA but also blood pressure, cholesterol, blood glucose, and insulin sensitivities. These have been fascinating. We see these patients every single day. If you think about it in your population, for 50%-90% of the patients to have OSA is a large number. If you haven’t seen a person with OSA this week, you probably missed them, very likely. 

Therefore, the SURMOUNT-OSA trial was quite fascinating with, as you mentioned, 50%-60% reduction in the severity of OSA, which is very impressive. Even more impressive, I think, is that for about 50% of the patients on tirzepatide, the OSA improves so much that they may not even need to be on CPAP machines.

Those who were on CPAP may not need to be on CPAP any longer. These are huge data, especially for primary care, because as you mentioned, we see these people every single day. 

Dr. Jain: Thanks for pointing that out. Clearly, it’s very clinically relevant. I think the most important takeaway for me from this study was the correlation between weight loss and AHI improvement.

Clearly, it showed that placebo had about a 6% drop in AHI, whereas there was a 60% drop in the tirzepatide group, so you can see that it’s significantly different. The placebo group did not have any significant degree of weight loss, whereas the tirzepatide group had nearly 20% weight loss. This again goes to show that there is a very close correlation between weight loss and improvement in OSA. 

What’s very important to note is that we’ve seen this in the past as well. We had seen some of these data with other GLP-1 agents, but the extent of improvement that we have seen in the SURMOUNT-OSA trial is significantly more than what we’ve seen in previous studies. There is a ray of hope now where we have medical management to offer people who are living with obesity and obstructive sleep apnea. 

Dr. Kim: I want to add that, from a primary care perspective, this study also showed the improvement of the sleep apnea–related symptoms as well. The biggest problem with sleep apnea — or at least what patients’ spouses complain of, is the person snoring too much; it’s a symptom.

It’s the next-day symptoms that really do disturb people, like chronic fatigue. I have numerous patients who say that, once they’ve been treated for sleep apnea, they feel like a brand-new person. They have sudden bursts of energy that they never felt before, and over 50% of these people have huge improvements in the symptoms as well. 

This is a huge trial. The only thing that I wish this study included were people with mild obstructive sleep apnea who were symptomatic. I do understand that, with other studies in this population, the data have been conflicting, but it would have been really awesome if they had those patients included. However, it is still a significant study for primary care. 

Dr. Jain: That’s a really good point. Fatigue improves and overall quality of life improves. That’s very important from a primary care perspective. 

From an endocrinology perspective, we know that management of sleep apnea can often lead to improvement in male hypogonadismpolycystic ovary syndrome, and insulin resistance. The amount of insulin required, or the number of medications needed for managing diabetes, can improve. Hypertension can improve as well. There are multiple benefits that you can get from appropriate management of sleep apnea. 

Thanks, Dr. Kim. We really appreciate your insights on SURMOUNT-OSA.

Dr. Jain is a clinical instructor, Department of Endocrinology, University of British Columbia, Vancouver. Dr. Kim is a clinical assistant professor, Department of Family Medicine, University of Calgary in Alberta. Both disclosed conflicts of interest with numerous pharmaceutical companies.

A version of this article appeared on Medscape.com.

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This transcript has been edited for clarity

Akshay B. Jain, MD: Welcome. I’m Dr. Akshay Jain, an endocrinologist in Vancouver, Canada, and with me is a very special guest. Today we have Dr. James Kim, a primary care physician working in Calgary, Canada. Both Dr. Kim and I were fortunate to attend the recently concluded American Diabetes Association annual conference in Orlando in June.

We thought we could share with you some of the key learnings that we found very insightful and clinically quite relevant. We were hoping to bring our own conclusion regarding what these findings were, both from a primary care perspective and an endocrinology perspective.

There were so many different studies that, frankly, it was difficult to pick them, but we handpicked a few studies we felt we could do a bit of a deeper dive on, and we’ll talk about each of these studies. 

Welcome, Dr. Kim, and thanks for joining us.

James W. Kim, MBBCh, PgDip, MScCH: Thank you so much, Dr Jain. It’s a pleasure to be here. 

Dr. Jain: Probably the best place to start would be with the SURMOUNT-OSA study. This was highlighted at the American Diabetes Association conference. Essentially, it looked at people who are living with obesity who also had obstructive sleep apnea.

This was a randomized controlled trial where individuals tested either got tirzepatide (trade name, Mounjaro) or placebo treatment. They looked at the change in their apnea-hypopnea index at the end of the study. 

This included both people who were using CPAP machines and those who were not using CPAP machines at baseline. We do know that many individuals with sleep apnea may not use these machines. 

At baseline, their apnea-hypopnea index, or AHI, was greater than 50. At the end of the study, we saw that there was a mean reduction in the AHI by over 60%. That was a big reduction. 

Dr. Kim, what’s the relevance of this study in primary care?

Dr. Kim: Oh, it’s massive. Obstructive sleep apnea is probably one of the most underdiagnosed yet huge cardiac risk factors that we tend to overlook in primary care. We sometimes say, oh, it’s just sleep apnea; what’s the big deal? We know it’s a big problem. We know that more than 50% of people with type 2 diabetes have obstructive sleep apnea, and some studies have even quoted that 90% of their population cohorts had sleep apnea. This is a big deal.

What do we know so far? We know that obstructive sleep apnea, which I’m just going to call OSA, increases the risk for hypertension, bad cholesterol, and worsening blood glucose in terms of A1c and fasting glucose, which eventually leads to myocardial infarction, arrhythmia, stroke, and eventually cardiovascular death. 

We also know that people with type 2 diabetes have an increased risk for OSA. There seems to be a bidirectional relationship between diabetes and OSA. It seems like weight plays the biggest role in terms of developing OSA, and numerous studies have shown this.

Also, thankfully, some of the studies showed that weight loss improves not just OSA but also blood pressure, cholesterol, blood glucose, and insulin sensitivities. These have been fascinating. We see these patients every single day. If you think about it in your population, for 50%-90% of the patients to have OSA is a large number. If you haven’t seen a person with OSA this week, you probably missed them, very likely. 

Therefore, the SURMOUNT-OSA trial was quite fascinating with, as you mentioned, 50%-60% reduction in the severity of OSA, which is very impressive. Even more impressive, I think, is that for about 50% of the patients on tirzepatide, the OSA improves so much that they may not even need to be on CPAP machines.

Those who were on CPAP may not need to be on CPAP any longer. These are huge data, especially for primary care, because as you mentioned, we see these people every single day. 

Dr. Jain: Thanks for pointing that out. Clearly, it’s very clinically relevant. I think the most important takeaway for me from this study was the correlation between weight loss and AHI improvement.

Clearly, it showed that placebo had about a 6% drop in AHI, whereas there was a 60% drop in the tirzepatide group, so you can see that it’s significantly different. The placebo group did not have any significant degree of weight loss, whereas the tirzepatide group had nearly 20% weight loss. This again goes to show that there is a very close correlation between weight loss and improvement in OSA. 

What’s very important to note is that we’ve seen this in the past as well. We had seen some of these data with other GLP-1 agents, but the extent of improvement that we have seen in the SURMOUNT-OSA trial is significantly more than what we’ve seen in previous studies. There is a ray of hope now where we have medical management to offer people who are living with obesity and obstructive sleep apnea. 

Dr. Kim: I want to add that, from a primary care perspective, this study also showed the improvement of the sleep apnea–related symptoms as well. The biggest problem with sleep apnea — or at least what patients’ spouses complain of, is the person snoring too much; it’s a symptom.

It’s the next-day symptoms that really do disturb people, like chronic fatigue. I have numerous patients who say that, once they’ve been treated for sleep apnea, they feel like a brand-new person. They have sudden bursts of energy that they never felt before, and over 50% of these people have huge improvements in the symptoms as well. 

This is a huge trial. The only thing that I wish this study included were people with mild obstructive sleep apnea who were symptomatic. I do understand that, with other studies in this population, the data have been conflicting, but it would have been really awesome if they had those patients included. However, it is still a significant study for primary care. 

Dr. Jain: That’s a really good point. Fatigue improves and overall quality of life improves. That’s very important from a primary care perspective. 

From an endocrinology perspective, we know that management of sleep apnea can often lead to improvement in male hypogonadismpolycystic ovary syndrome, and insulin resistance. The amount of insulin required, or the number of medications needed for managing diabetes, can improve. Hypertension can improve as well. There are multiple benefits that you can get from appropriate management of sleep apnea. 

Thanks, Dr. Kim. We really appreciate your insights on SURMOUNT-OSA.

Dr. Jain is a clinical instructor, Department of Endocrinology, University of British Columbia, Vancouver. Dr. Kim is a clinical assistant professor, Department of Family Medicine, University of Calgary in Alberta. Both disclosed conflicts of interest with numerous pharmaceutical companies.

A version of this article appeared on Medscape.com.


This transcript has been edited for clarity

Akshay B. Jain, MD: Welcome. I’m Dr. Akshay Jain, an endocrinologist in Vancouver, Canada, and with me is a very special guest. Today we have Dr. James Kim, a primary care physician working in Calgary, Canada. Both Dr. Kim and I were fortunate to attend the recently concluded American Diabetes Association annual conference in Orlando in June.

We thought we could share with you some of the key learnings that we found very insightful and clinically quite relevant. We were hoping to bring our own conclusion regarding what these findings were, both from a primary care perspective and an endocrinology perspective.

There were so many different studies that, frankly, it was difficult to pick them, but we handpicked a few studies we felt we could do a bit of a deeper dive on, and we’ll talk about each of these studies. 

Welcome, Dr. Kim, and thanks for joining us.

James W. Kim, MBBCh, PgDip, MScCH: Thank you so much, Dr Jain. It’s a pleasure to be here. 

Dr. Jain: Probably the best place to start would be with the SURMOUNT-OSA study. This was highlighted at the American Diabetes Association conference. Essentially, it looked at people who are living with obesity who also had obstructive sleep apnea.

This was a randomized controlled trial where individuals tested either got tirzepatide (trade name, Mounjaro) or placebo treatment. They looked at the change in their apnea-hypopnea index at the end of the study. 

This included both people who were using CPAP machines and those who were not using CPAP machines at baseline. We do know that many individuals with sleep apnea may not use these machines. 

At baseline, their apnea-hypopnea index, or AHI, was greater than 50. At the end of the study, we saw that there was a mean reduction in the AHI by over 60%. That was a big reduction. 

Dr. Kim, what’s the relevance of this study in primary care?

Dr. Kim: Oh, it’s massive. Obstructive sleep apnea is probably one of the most underdiagnosed yet huge cardiac risk factors that we tend to overlook in primary care. We sometimes say, oh, it’s just sleep apnea; what’s the big deal? We know it’s a big problem. We know that more than 50% of people with type 2 diabetes have obstructive sleep apnea, and some studies have even quoted that 90% of their population cohorts had sleep apnea. This is a big deal.

What do we know so far? We know that obstructive sleep apnea, which I’m just going to call OSA, increases the risk for hypertension, bad cholesterol, and worsening blood glucose in terms of A1c and fasting glucose, which eventually leads to myocardial infarction, arrhythmia, stroke, and eventually cardiovascular death. 

We also know that people with type 2 diabetes have an increased risk for OSA. There seems to be a bidirectional relationship between diabetes and OSA. It seems like weight plays the biggest role in terms of developing OSA, and numerous studies have shown this.

Also, thankfully, some of the studies showed that weight loss improves not just OSA but also blood pressure, cholesterol, blood glucose, and insulin sensitivities. These have been fascinating. We see these patients every single day. If you think about it in your population, for 50%-90% of the patients to have OSA is a large number. If you haven’t seen a person with OSA this week, you probably missed them, very likely. 

Therefore, the SURMOUNT-OSA trial was quite fascinating with, as you mentioned, 50%-60% reduction in the severity of OSA, which is very impressive. Even more impressive, I think, is that for about 50% of the patients on tirzepatide, the OSA improves so much that they may not even need to be on CPAP machines.

Those who were on CPAP may not need to be on CPAP any longer. These are huge data, especially for primary care, because as you mentioned, we see these people every single day. 

Dr. Jain: Thanks for pointing that out. Clearly, it’s very clinically relevant. I think the most important takeaway for me from this study was the correlation between weight loss and AHI improvement.

Clearly, it showed that placebo had about a 6% drop in AHI, whereas there was a 60% drop in the tirzepatide group, so you can see that it’s significantly different. The placebo group did not have any significant degree of weight loss, whereas the tirzepatide group had nearly 20% weight loss. This again goes to show that there is a very close correlation between weight loss and improvement in OSA. 

What’s very important to note is that we’ve seen this in the past as well. We had seen some of these data with other GLP-1 agents, but the extent of improvement that we have seen in the SURMOUNT-OSA trial is significantly more than what we’ve seen in previous studies. There is a ray of hope now where we have medical management to offer people who are living with obesity and obstructive sleep apnea. 

Dr. Kim: I want to add that, from a primary care perspective, this study also showed the improvement of the sleep apnea–related symptoms as well. The biggest problem with sleep apnea — or at least what patients’ spouses complain of, is the person snoring too much; it’s a symptom.

It’s the next-day symptoms that really do disturb people, like chronic fatigue. I have numerous patients who say that, once they’ve been treated for sleep apnea, they feel like a brand-new person. They have sudden bursts of energy that they never felt before, and over 50% of these people have huge improvements in the symptoms as well. 

This is a huge trial. The only thing that I wish this study included were people with mild obstructive sleep apnea who were symptomatic. I do understand that, with other studies in this population, the data have been conflicting, but it would have been really awesome if they had those patients included. However, it is still a significant study for primary care. 

Dr. Jain: That’s a really good point. Fatigue improves and overall quality of life improves. That’s very important from a primary care perspective. 

From an endocrinology perspective, we know that management of sleep apnea can often lead to improvement in male hypogonadismpolycystic ovary syndrome, and insulin resistance. The amount of insulin required, or the number of medications needed for managing diabetes, can improve. Hypertension can improve as well. There are multiple benefits that you can get from appropriate management of sleep apnea. 

Thanks, Dr. Kim. We really appreciate your insights on SURMOUNT-OSA.

Dr. Jain is a clinical instructor, Department of Endocrinology, University of British Columbia, Vancouver. Dr. Kim is a clinical assistant professor, Department of Family Medicine, University of Calgary in Alberta. Both disclosed conflicts of interest with numerous pharmaceutical companies.

A version of this article appeared on Medscape.com.

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Neurofibromatosis: What Affects Quality of Life Most?

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Mon, 09/09/2024 - 06:28

 

TOPLINE:

Mobile images may be reliable for assessing cutaneous neurofibroma (cNF) features in patients with neurofibromatosis type 1 (NF1), according to a crowd-sourced registry study that also suggests correlations between cNF burden and quality of life (QoL), particularly the impact of facial severity on emotional well-being.

METHODOLOGY:

  • To learn more about the association of cNFs with QoL, pain, and itch in patients with this rare disease, researchers enrolled 1016 individuals aged 40 years and older with NF1 who had at least one cNF, from May 2021 to December 2023, after reaching out to patient-led or NF1 advocacy organizations in 13 countries, including the United States.
  • Participants provided demographic data, detailed photographs, and saliva samples for genetic sequencing, with 583 participants (mean age, 51.7 years; 65.9% women) submitting high-quality photographs from seven body regions at the time of the study analysis.
  • A subset of 50 participants also underwent whole-body imaging.
  • Four researchers independently rated the photographs for various cNF features, including general severity, number, size, facial severity, and subtypes.

TAKEAWAY:

  • Based on evaluations by NF1 specialists, the agreement between mobile and whole-body images was “substantial” (74%-88% agreement) for the number of cNFs, general severity, and facial severity. Agreement between self-reported numbers of cNFs and investigator-rated numbers based on photographs was “minimal to fair.”
  • Female sex, the number of cNFs, severity of cNFs on the face, and globular cNFs were associated with worse QoL (based on Skindex scores); severity of cNFs on the face had the strongest impact on overall QoL (P < .001).
  • An increasing number of cNFs and worsening facial severity were strongly correlated with higher emotion subdomain scores.
  • A higher number of cNFs, more severe cNFs on the face, and larger cNFs were all slightly associated with increased itch and pain (P < .01).

IN PRACTICE:

“To develop effective therapeutics, meaningful clinical outcomes that are tied with improvement in QoL for persons with NF1 must be clearly defined,” the authors wrote. The results of this study, they added, “suggested the benefit of this crowd-sourced resource by identifying the features of cNFs with the greatest association with QoL and symptoms of pain and itch in persons with NF1, highlighting new intervention strategies and features to target to most improve QoL in NF1.”

SOURCE:

The study was led by Michelle Jade Lin, BS, Stanford University School of Medicine, Redwood City, California, and was published online in JAMA Dermatology.

LIMITATIONS:

The study included only a small number of individuals from racial and ethnic minority groups and did not capture ethnicity information, which could have provided further insights into disease impact across different demographics.

DISCLOSURES:

This study was supported by Johns Hopkins University, Baltimore, and the Bloomberg Family Foundation. Ms. Lin reported support from the Stanford Medical Scholars Research Program. Three authors reported personal fees or grants outside this work. Other authors reported no competing interests.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.

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TOPLINE:

Mobile images may be reliable for assessing cutaneous neurofibroma (cNF) features in patients with neurofibromatosis type 1 (NF1), according to a crowd-sourced registry study that also suggests correlations between cNF burden and quality of life (QoL), particularly the impact of facial severity on emotional well-being.

METHODOLOGY:

  • To learn more about the association of cNFs with QoL, pain, and itch in patients with this rare disease, researchers enrolled 1016 individuals aged 40 years and older with NF1 who had at least one cNF, from May 2021 to December 2023, after reaching out to patient-led or NF1 advocacy organizations in 13 countries, including the United States.
  • Participants provided demographic data, detailed photographs, and saliva samples for genetic sequencing, with 583 participants (mean age, 51.7 years; 65.9% women) submitting high-quality photographs from seven body regions at the time of the study analysis.
  • A subset of 50 participants also underwent whole-body imaging.
  • Four researchers independently rated the photographs for various cNF features, including general severity, number, size, facial severity, and subtypes.

TAKEAWAY:

  • Based on evaluations by NF1 specialists, the agreement between mobile and whole-body images was “substantial” (74%-88% agreement) for the number of cNFs, general severity, and facial severity. Agreement between self-reported numbers of cNFs and investigator-rated numbers based on photographs was “minimal to fair.”
  • Female sex, the number of cNFs, severity of cNFs on the face, and globular cNFs were associated with worse QoL (based on Skindex scores); severity of cNFs on the face had the strongest impact on overall QoL (P < .001).
  • An increasing number of cNFs and worsening facial severity were strongly correlated with higher emotion subdomain scores.
  • A higher number of cNFs, more severe cNFs on the face, and larger cNFs were all slightly associated with increased itch and pain (P < .01).

IN PRACTICE:

“To develop effective therapeutics, meaningful clinical outcomes that are tied with improvement in QoL for persons with NF1 must be clearly defined,” the authors wrote. The results of this study, they added, “suggested the benefit of this crowd-sourced resource by identifying the features of cNFs with the greatest association with QoL and symptoms of pain and itch in persons with NF1, highlighting new intervention strategies and features to target to most improve QoL in NF1.”

SOURCE:

The study was led by Michelle Jade Lin, BS, Stanford University School of Medicine, Redwood City, California, and was published online in JAMA Dermatology.

LIMITATIONS:

The study included only a small number of individuals from racial and ethnic minority groups and did not capture ethnicity information, which could have provided further insights into disease impact across different demographics.

DISCLOSURES:

This study was supported by Johns Hopkins University, Baltimore, and the Bloomberg Family Foundation. Ms. Lin reported support from the Stanford Medical Scholars Research Program. Three authors reported personal fees or grants outside this work. Other authors reported no competing interests.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.

 

TOPLINE:

Mobile images may be reliable for assessing cutaneous neurofibroma (cNF) features in patients with neurofibromatosis type 1 (NF1), according to a crowd-sourced registry study that also suggests correlations between cNF burden and quality of life (QoL), particularly the impact of facial severity on emotional well-being.

METHODOLOGY:

  • To learn more about the association of cNFs with QoL, pain, and itch in patients with this rare disease, researchers enrolled 1016 individuals aged 40 years and older with NF1 who had at least one cNF, from May 2021 to December 2023, after reaching out to patient-led or NF1 advocacy organizations in 13 countries, including the United States.
  • Participants provided demographic data, detailed photographs, and saliva samples for genetic sequencing, with 583 participants (mean age, 51.7 years; 65.9% women) submitting high-quality photographs from seven body regions at the time of the study analysis.
  • A subset of 50 participants also underwent whole-body imaging.
  • Four researchers independently rated the photographs for various cNF features, including general severity, number, size, facial severity, and subtypes.

TAKEAWAY:

  • Based on evaluations by NF1 specialists, the agreement between mobile and whole-body images was “substantial” (74%-88% agreement) for the number of cNFs, general severity, and facial severity. Agreement between self-reported numbers of cNFs and investigator-rated numbers based on photographs was “minimal to fair.”
  • Female sex, the number of cNFs, severity of cNFs on the face, and globular cNFs were associated with worse QoL (based on Skindex scores); severity of cNFs on the face had the strongest impact on overall QoL (P < .001).
  • An increasing number of cNFs and worsening facial severity were strongly correlated with higher emotion subdomain scores.
  • A higher number of cNFs, more severe cNFs on the face, and larger cNFs were all slightly associated with increased itch and pain (P < .01).

IN PRACTICE:

“To develop effective therapeutics, meaningful clinical outcomes that are tied with improvement in QoL for persons with NF1 must be clearly defined,” the authors wrote. The results of this study, they added, “suggested the benefit of this crowd-sourced resource by identifying the features of cNFs with the greatest association with QoL and symptoms of pain and itch in persons with NF1, highlighting new intervention strategies and features to target to most improve QoL in NF1.”

SOURCE:

The study was led by Michelle Jade Lin, BS, Stanford University School of Medicine, Redwood City, California, and was published online in JAMA Dermatology.

LIMITATIONS:

The study included only a small number of individuals from racial and ethnic minority groups and did not capture ethnicity information, which could have provided further insights into disease impact across different demographics.

DISCLOSURES:

This study was supported by Johns Hopkins University, Baltimore, and the Bloomberg Family Foundation. Ms. Lin reported support from the Stanford Medical Scholars Research Program. Three authors reported personal fees or grants outside this work. Other authors reported no competing interests.

This article was created using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article first appeared on Medscape.com.

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Are Beta-Blockers Needed Post MI? No, Even After the ABYSS Trial

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Changed
Tue, 09/03/2024 - 15:30

The ABYSS trial found that interruption of beta-blocker therapy in patients after myocardial infarction (MI) was not noninferior to continuing the drugs. 

I will argue why I think it is okay to stop beta-blockers after MI — despite this conclusion. The results of ABYSS are, in fact, similar to REDUCE-AMI, which compared beta-blocker use or nonuse immediately after MI, and found no difference in a composite endpoint of death or MI. 

Translation of the ABYSS trial results to patient care is a case where we must look past the paper’s abstract and conclusions. The key problem is the authors’ choice of primary endpoint, which obscures the correct clinical answer.
 

The ABYSS Trial

ABYSS investigators randomly assigned nearly 3700 patients who had MI and were prescribed a beta-blocker to either continue (control arm) or stop (active arm) the drug at 1 year. 

Patients had to have a left ventricular ejection fraction (LVEF) at least 40%; the median was 60%. 

The composite primary endpoint included death, MI, stroke, or hospitalization for any cardiovascular reason. ABYSS authors chose a noninferiority design. The assumption must have been that the interruption arm offered an easier option for patients — eg, fewer pills. 

Over 3 years, a primary endpoint occurred in 23.8% of the interruption group vs 21.1% in the continuation group. 

In ABYSS, the noninferiority margin was set at a 3% absolute risk increase. The 2.7% absolute risk increase had an upper bound of the 95% CI (worst case) of 5.5% leading to the not-noninferior conclusion (5.5% exceeds the noninferiority margins). 

More simply stated, the primary outcome event rate was higher in the interruption arm. 
 

Does This Mean we Should Continue Beta-Blockers in Post-MI Patients?

This led some to conclude that we should continue beta-blockers. I disagree. To properly interpret the ABYSS trial, you must consider trial procedures, components of the primary endpoint, and then compare ABYSS with REDUCE-AMI. 

It’s also reasonable to have extremely pessimistic prior beliefs about post-MI beta-blockade because the evidence establishing benefit comes from trials conducted before urgent revascularization became the standard therapy. 

ABYSS was a pragmatic open-label trial. The core problem with this design is that one of the components of the primary outcome (hospitalization for cardiovascular reasons) requires clinical judgment — and is therefore susceptible to bias, particularly in an open-label trial. 

This becomes apparent when we look at the components of the primary outcome in the two arms of the trial (interrupt vs continue): 

  • For death, the rates were 4.1 and 4.0%
  • For MI, the rates were 2.5 and 2.4%
  • For stroke, the rates were 1.0% in both arms
  • For CV hospitalization, the rates were 18.9% vs 16.6%

The higher rate CV hospitalization alone drove the results of ABYSS. Death, MI, and stroke rates were nearly identical. 

The most common reason for admission to the hospital in this category was for angiography. In fact, the rate of angiography was 2.3% higher in the interruption arm — identical to the rate increase in the CV hospitalization component of the primary endpoint. 

The results of ABYSS, therefore, were driven by higher rates of angiography in the interrupt arm. 

You need not imply malfeasance to speculate that patients who had their beta-blocker stopped might be treated differently regarding hospital admissions or angiography than those who stayed on beta-blockers. Researchers from Imperial College London called such a bias in unblinded trials “subtraction anxiety and faith healing.”

Had the ABYSS investigators chosen the simpler, less bias-prone endpoints of death, MI, or stroke, their results would have been the same as REDUCE-AMI. 
 

 

 

My Final Two Conclusions

I would conclude that interruption of beta-blockers at 1 year vs continuation in post-MI patients did not lead to an increase in death, MI, or stroke. 

ABYSS, therefore, is consistent with REDUCE-AMI. Taken together, along with the pessimistic priors, these are important findings because they allow us to stop a medicine and reduce the work of being a patient. 

My second conclusion concerns ways of knowing in medicine. I’ve long felt that randomized controlled trials (RCTs) are the best way to sort out causation. This idea led me to the believe that medicine should have more RCTs rather than follow expert opinion or therapeutic fashion. 

I’ve now modified my love of RCTs — a little. The ABYSS trial is yet another example of the need to be super careful with their design.

Something as seemingly simple as choosing what to measure can alter the way clinicians interpret and use the data. 

So, let’s have (slightly) more trials, but we should be really careful in their design. Slow and careful is the best way to practice medicine. And it’s surely the best way to do research as well.

Dr. Mandrola, clinical electrophysiologist, Baptist Medical Associates, Louisville, Kentucky, has disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

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The ABYSS trial found that interruption of beta-blocker therapy in patients after myocardial infarction (MI) was not noninferior to continuing the drugs. 

I will argue why I think it is okay to stop beta-blockers after MI — despite this conclusion. The results of ABYSS are, in fact, similar to REDUCE-AMI, which compared beta-blocker use or nonuse immediately after MI, and found no difference in a composite endpoint of death or MI. 

Translation of the ABYSS trial results to patient care is a case where we must look past the paper’s abstract and conclusions. The key problem is the authors’ choice of primary endpoint, which obscures the correct clinical answer.
 

The ABYSS Trial

ABYSS investigators randomly assigned nearly 3700 patients who had MI and were prescribed a beta-blocker to either continue (control arm) or stop (active arm) the drug at 1 year. 

Patients had to have a left ventricular ejection fraction (LVEF) at least 40%; the median was 60%. 

The composite primary endpoint included death, MI, stroke, or hospitalization for any cardiovascular reason. ABYSS authors chose a noninferiority design. The assumption must have been that the interruption arm offered an easier option for patients — eg, fewer pills. 

Over 3 years, a primary endpoint occurred in 23.8% of the interruption group vs 21.1% in the continuation group. 

In ABYSS, the noninferiority margin was set at a 3% absolute risk increase. The 2.7% absolute risk increase had an upper bound of the 95% CI (worst case) of 5.5% leading to the not-noninferior conclusion (5.5% exceeds the noninferiority margins). 

More simply stated, the primary outcome event rate was higher in the interruption arm. 
 

Does This Mean we Should Continue Beta-Blockers in Post-MI Patients?

This led some to conclude that we should continue beta-blockers. I disagree. To properly interpret the ABYSS trial, you must consider trial procedures, components of the primary endpoint, and then compare ABYSS with REDUCE-AMI. 

It’s also reasonable to have extremely pessimistic prior beliefs about post-MI beta-blockade because the evidence establishing benefit comes from trials conducted before urgent revascularization became the standard therapy. 

ABYSS was a pragmatic open-label trial. The core problem with this design is that one of the components of the primary outcome (hospitalization for cardiovascular reasons) requires clinical judgment — and is therefore susceptible to bias, particularly in an open-label trial. 

This becomes apparent when we look at the components of the primary outcome in the two arms of the trial (interrupt vs continue): 

  • For death, the rates were 4.1 and 4.0%
  • For MI, the rates were 2.5 and 2.4%
  • For stroke, the rates were 1.0% in both arms
  • For CV hospitalization, the rates were 18.9% vs 16.6%

The higher rate CV hospitalization alone drove the results of ABYSS. Death, MI, and stroke rates were nearly identical. 

The most common reason for admission to the hospital in this category was for angiography. In fact, the rate of angiography was 2.3% higher in the interruption arm — identical to the rate increase in the CV hospitalization component of the primary endpoint. 

The results of ABYSS, therefore, were driven by higher rates of angiography in the interrupt arm. 

You need not imply malfeasance to speculate that patients who had their beta-blocker stopped might be treated differently regarding hospital admissions or angiography than those who stayed on beta-blockers. Researchers from Imperial College London called such a bias in unblinded trials “subtraction anxiety and faith healing.”

Had the ABYSS investigators chosen the simpler, less bias-prone endpoints of death, MI, or stroke, their results would have been the same as REDUCE-AMI. 
 

 

 

My Final Two Conclusions

I would conclude that interruption of beta-blockers at 1 year vs continuation in post-MI patients did not lead to an increase in death, MI, or stroke. 

ABYSS, therefore, is consistent with REDUCE-AMI. Taken together, along with the pessimistic priors, these are important findings because they allow us to stop a medicine and reduce the work of being a patient. 

My second conclusion concerns ways of knowing in medicine. I’ve long felt that randomized controlled trials (RCTs) are the best way to sort out causation. This idea led me to the believe that medicine should have more RCTs rather than follow expert opinion or therapeutic fashion. 

I’ve now modified my love of RCTs — a little. The ABYSS trial is yet another example of the need to be super careful with their design.

Something as seemingly simple as choosing what to measure can alter the way clinicians interpret and use the data. 

So, let’s have (slightly) more trials, but we should be really careful in their design. Slow and careful is the best way to practice medicine. And it’s surely the best way to do research as well.

Dr. Mandrola, clinical electrophysiologist, Baptist Medical Associates, Louisville, Kentucky, has disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

The ABYSS trial found that interruption of beta-blocker therapy in patients after myocardial infarction (MI) was not noninferior to continuing the drugs. 

I will argue why I think it is okay to stop beta-blockers after MI — despite this conclusion. The results of ABYSS are, in fact, similar to REDUCE-AMI, which compared beta-blocker use or nonuse immediately after MI, and found no difference in a composite endpoint of death or MI. 

Translation of the ABYSS trial results to patient care is a case where we must look past the paper’s abstract and conclusions. The key problem is the authors’ choice of primary endpoint, which obscures the correct clinical answer.
 

The ABYSS Trial

ABYSS investigators randomly assigned nearly 3700 patients who had MI and were prescribed a beta-blocker to either continue (control arm) or stop (active arm) the drug at 1 year. 

Patients had to have a left ventricular ejection fraction (LVEF) at least 40%; the median was 60%. 

The composite primary endpoint included death, MI, stroke, or hospitalization for any cardiovascular reason. ABYSS authors chose a noninferiority design. The assumption must have been that the interruption arm offered an easier option for patients — eg, fewer pills. 

Over 3 years, a primary endpoint occurred in 23.8% of the interruption group vs 21.1% in the continuation group. 

In ABYSS, the noninferiority margin was set at a 3% absolute risk increase. The 2.7% absolute risk increase had an upper bound of the 95% CI (worst case) of 5.5% leading to the not-noninferior conclusion (5.5% exceeds the noninferiority margins). 

More simply stated, the primary outcome event rate was higher in the interruption arm. 
 

Does This Mean we Should Continue Beta-Blockers in Post-MI Patients?

This led some to conclude that we should continue beta-blockers. I disagree. To properly interpret the ABYSS trial, you must consider trial procedures, components of the primary endpoint, and then compare ABYSS with REDUCE-AMI. 

It’s also reasonable to have extremely pessimistic prior beliefs about post-MI beta-blockade because the evidence establishing benefit comes from trials conducted before urgent revascularization became the standard therapy. 

ABYSS was a pragmatic open-label trial. The core problem with this design is that one of the components of the primary outcome (hospitalization for cardiovascular reasons) requires clinical judgment — and is therefore susceptible to bias, particularly in an open-label trial. 

This becomes apparent when we look at the components of the primary outcome in the two arms of the trial (interrupt vs continue): 

  • For death, the rates were 4.1 and 4.0%
  • For MI, the rates were 2.5 and 2.4%
  • For stroke, the rates were 1.0% in both arms
  • For CV hospitalization, the rates were 18.9% vs 16.6%

The higher rate CV hospitalization alone drove the results of ABYSS. Death, MI, and stroke rates were nearly identical. 

The most common reason for admission to the hospital in this category was for angiography. In fact, the rate of angiography was 2.3% higher in the interruption arm — identical to the rate increase in the CV hospitalization component of the primary endpoint. 

The results of ABYSS, therefore, were driven by higher rates of angiography in the interrupt arm. 

You need not imply malfeasance to speculate that patients who had their beta-blocker stopped might be treated differently regarding hospital admissions or angiography than those who stayed on beta-blockers. Researchers from Imperial College London called such a bias in unblinded trials “subtraction anxiety and faith healing.”

Had the ABYSS investigators chosen the simpler, less bias-prone endpoints of death, MI, or stroke, their results would have been the same as REDUCE-AMI. 
 

 

 

My Final Two Conclusions

I would conclude that interruption of beta-blockers at 1 year vs continuation in post-MI patients did not lead to an increase in death, MI, or stroke. 

ABYSS, therefore, is consistent with REDUCE-AMI. Taken together, along with the pessimistic priors, these are important findings because they allow us to stop a medicine and reduce the work of being a patient. 

My second conclusion concerns ways of knowing in medicine. I’ve long felt that randomized controlled trials (RCTs) are the best way to sort out causation. This idea led me to the believe that medicine should have more RCTs rather than follow expert opinion or therapeutic fashion. 

I’ve now modified my love of RCTs — a little. The ABYSS trial is yet another example of the need to be super careful with their design.

Something as seemingly simple as choosing what to measure can alter the way clinicians interpret and use the data. 

So, let’s have (slightly) more trials, but we should be really careful in their design. Slow and careful is the best way to practice medicine. And it’s surely the best way to do research as well.

Dr. Mandrola, clinical electrophysiologist, Baptist Medical Associates, Louisville, Kentucky, has disclosed no relevant financial relationships.

A version of this article appeared on Medscape.com.

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First-Time Fathers Experience Period of High Psychological Risk

Article Type
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Tue, 09/03/2024 - 15:25

A growing amount of data is demonstrating that new fathers are likely to develop depression in the perinatal period. Anxiety and stress during fatherhood receive less research attention than do anxiety and stress during motherhood. 

Longitudinal data tracking the evolution of men’s mental health following the birth of the first child are even rarer, especially in the French population. Only two studies of the subject have been conducted. They were dedicated solely to paternal depression and limited to the first 4 months post partum. Better understanding of the risk in the population can not only help identify public health issues, but also aid in defining targeted preventive approaches.

French researchers in epidemiology and public health sought to expand our knowledge of the mental health trajectories of new fathers using 9 years of data from the CONSTANCES cohort. Within this cohort, participants filled out self-administered questionnaires annually. They declared their parental status and the presence of mental illnesses. They also completed questionnaires to assess mental health, such as the Center for Epidemiologic Studies Depression Scale for depression and the General Health Questionnaire for depressive, anxious, and somatic disorders. Thresholds for each score were established to characterize the severity of symptoms. In addition, the researchers analyzed all factors (eg, sociodemographic, psychosocial, lifestyle, professional, family, or cultural) that potentially are associated with poor mental health and were available within the questionnaires. 

The study included 6299 men who had their first child and for whom at least one mental health measure was collected during the follow-up period. These men had an average age of 38 years at inclusion, 88% lived with a partner, and 85% were employed. Overall, 7.9% of this male cohort self-reported a mental illness during the study, with 5.6% of illnesses occurring before the child’s birth and 9.7% after. Anxiety affected 6.5% of the cohort, and it was more pronounced after the birth than before (7.8% after vs 4.9% before). 

The rate of clinically significant symptoms averaged 23.2% during the study period, increasing from 18.3% to 25.2% after the birth. The discrepancy between the self-declared diagnosis by new fathers and the symptom-related score highlights underreporting or insufficient awareness among men. 

After conducting a latent class analysis, the researchers identified three homogeneous subgroups of men who had comparable mental health trajectories over time. The first group (90.3% of the cohort) maintained a constant and low risk for mental illnesses. The second (4.1%) presented a high and generally constant risk over time. Finally, 5.6% of the cohort had a temporarily high risk in the 2-4 years surrounding the birth.

The risk factors associated with being at a transiently high risk for mental illness were, in order of descending significance, not having a job, having had at least one negative experience during childhood, forgoing healthcare for financial reasons, and being aged 35-39 years (adjusted odds ratio [AOR] between 3.01 and 1.61). The risk factors associated with a high and constant mental illness risk were, in order of descending significance, being aged 60 years or older, not having a job, not living with a partner, being aged 40-44 years, and having other children in the following years (AOR between 3.79 and 1.85). 

The authors noted that the risk factors for mental health challenges associated with fatherhood do not imply causality, the meaning of which would also need further study. They contended that French fathers, who on average are entitled to 2 weeks of paid paternity leave, may struggle to manage their time, professional responsibilities, and parenting duties. Consequently, they may experience dissatisfaction and difficulty seeking support, assistance, or a mental health diagnosis, especially in the face of a mental health risk to which they are less attuned than women.

This story was translated from Univadis France, which is part of the Medscape Professional Network, using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

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A growing amount of data is demonstrating that new fathers are likely to develop depression in the perinatal period. Anxiety and stress during fatherhood receive less research attention than do anxiety and stress during motherhood. 

Longitudinal data tracking the evolution of men’s mental health following the birth of the first child are even rarer, especially in the French population. Only two studies of the subject have been conducted. They were dedicated solely to paternal depression and limited to the first 4 months post partum. Better understanding of the risk in the population can not only help identify public health issues, but also aid in defining targeted preventive approaches.

French researchers in epidemiology and public health sought to expand our knowledge of the mental health trajectories of new fathers using 9 years of data from the CONSTANCES cohort. Within this cohort, participants filled out self-administered questionnaires annually. They declared their parental status and the presence of mental illnesses. They also completed questionnaires to assess mental health, such as the Center for Epidemiologic Studies Depression Scale for depression and the General Health Questionnaire for depressive, anxious, and somatic disorders. Thresholds for each score were established to characterize the severity of symptoms. In addition, the researchers analyzed all factors (eg, sociodemographic, psychosocial, lifestyle, professional, family, or cultural) that potentially are associated with poor mental health and were available within the questionnaires. 

The study included 6299 men who had their first child and for whom at least one mental health measure was collected during the follow-up period. These men had an average age of 38 years at inclusion, 88% lived with a partner, and 85% were employed. Overall, 7.9% of this male cohort self-reported a mental illness during the study, with 5.6% of illnesses occurring before the child’s birth and 9.7% after. Anxiety affected 6.5% of the cohort, and it was more pronounced after the birth than before (7.8% after vs 4.9% before). 

The rate of clinically significant symptoms averaged 23.2% during the study period, increasing from 18.3% to 25.2% after the birth. The discrepancy between the self-declared diagnosis by new fathers and the symptom-related score highlights underreporting or insufficient awareness among men. 

After conducting a latent class analysis, the researchers identified three homogeneous subgroups of men who had comparable mental health trajectories over time. The first group (90.3% of the cohort) maintained a constant and low risk for mental illnesses. The second (4.1%) presented a high and generally constant risk over time. Finally, 5.6% of the cohort had a temporarily high risk in the 2-4 years surrounding the birth.

The risk factors associated with being at a transiently high risk for mental illness were, in order of descending significance, not having a job, having had at least one negative experience during childhood, forgoing healthcare for financial reasons, and being aged 35-39 years (adjusted odds ratio [AOR] between 3.01 and 1.61). The risk factors associated with a high and constant mental illness risk were, in order of descending significance, being aged 60 years or older, not having a job, not living with a partner, being aged 40-44 years, and having other children in the following years (AOR between 3.79 and 1.85). 

The authors noted that the risk factors for mental health challenges associated with fatherhood do not imply causality, the meaning of which would also need further study. They contended that French fathers, who on average are entitled to 2 weeks of paid paternity leave, may struggle to manage their time, professional responsibilities, and parenting duties. Consequently, they may experience dissatisfaction and difficulty seeking support, assistance, or a mental health diagnosis, especially in the face of a mental health risk to which they are less attuned than women.

This story was translated from Univadis France, which is part of the Medscape Professional Network, using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

A growing amount of data is demonstrating that new fathers are likely to develop depression in the perinatal period. Anxiety and stress during fatherhood receive less research attention than do anxiety and stress during motherhood. 

Longitudinal data tracking the evolution of men’s mental health following the birth of the first child are even rarer, especially in the French population. Only two studies of the subject have been conducted. They were dedicated solely to paternal depression and limited to the first 4 months post partum. Better understanding of the risk in the population can not only help identify public health issues, but also aid in defining targeted preventive approaches.

French researchers in epidemiology and public health sought to expand our knowledge of the mental health trajectories of new fathers using 9 years of data from the CONSTANCES cohort. Within this cohort, participants filled out self-administered questionnaires annually. They declared their parental status and the presence of mental illnesses. They also completed questionnaires to assess mental health, such as the Center for Epidemiologic Studies Depression Scale for depression and the General Health Questionnaire for depressive, anxious, and somatic disorders. Thresholds for each score were established to characterize the severity of symptoms. In addition, the researchers analyzed all factors (eg, sociodemographic, psychosocial, lifestyle, professional, family, or cultural) that potentially are associated with poor mental health and were available within the questionnaires. 

The study included 6299 men who had their first child and for whom at least one mental health measure was collected during the follow-up period. These men had an average age of 38 years at inclusion, 88% lived with a partner, and 85% were employed. Overall, 7.9% of this male cohort self-reported a mental illness during the study, with 5.6% of illnesses occurring before the child’s birth and 9.7% after. Anxiety affected 6.5% of the cohort, and it was more pronounced after the birth than before (7.8% after vs 4.9% before). 

The rate of clinically significant symptoms averaged 23.2% during the study period, increasing from 18.3% to 25.2% after the birth. The discrepancy between the self-declared diagnosis by new fathers and the symptom-related score highlights underreporting or insufficient awareness among men. 

After conducting a latent class analysis, the researchers identified three homogeneous subgroups of men who had comparable mental health trajectories over time. The first group (90.3% of the cohort) maintained a constant and low risk for mental illnesses. The second (4.1%) presented a high and generally constant risk over time. Finally, 5.6% of the cohort had a temporarily high risk in the 2-4 years surrounding the birth.

The risk factors associated with being at a transiently high risk for mental illness were, in order of descending significance, not having a job, having had at least one negative experience during childhood, forgoing healthcare for financial reasons, and being aged 35-39 years (adjusted odds ratio [AOR] between 3.01 and 1.61). The risk factors associated with a high and constant mental illness risk were, in order of descending significance, being aged 60 years or older, not having a job, not living with a partner, being aged 40-44 years, and having other children in the following years (AOR between 3.79 and 1.85). 

The authors noted that the risk factors for mental health challenges associated with fatherhood do not imply causality, the meaning of which would also need further study. They contended that French fathers, who on average are entitled to 2 weeks of paid paternity leave, may struggle to manage their time, professional responsibilities, and parenting duties. Consequently, they may experience dissatisfaction and difficulty seeking support, assistance, or a mental health diagnosis, especially in the face of a mental health risk to which they are less attuned than women.

This story was translated from Univadis France, which is part of the Medscape Professional Network, using several editorial tools, including AI, as part of the process. Human editors reviewed this content before publication. A version of this article appeared on Medscape.com.

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Setbacks Identified After Stopping Beta-Blockers

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Wed, 09/11/2024 - 05:51

— It may not be advisable for patients with a history of myocardial infarction and preserved left ventricular function to discontinue long-term beta-blocker therapy, warn investigators.

In the randomized ABYSS trial, although there was no difference in death, MI, or stroke between patients who discontinued and those who continued taking beta-blockers, those who stopped taking the drugs had a higher rate of cardiovascular hospitalization.

Discontinuation was also associated with an increase in blood pressure and heart rate, without any improvement in quality of life.

“We thought we would be able to withdraw beta-blockers safely and that this would result in improved quality of life, but our trial results suggest this is not the case,” said lead investigator Johanne Silvain, MD, PhD, from Pitié-Salpêtrière University Hospital in Paris, who presented the ABYSS findings here at the European Society of Cardiology (ESC) Congress. 

The results, which were simultaneously published online in The New England Journal of Medicine, call into question current guidelines, which suggest that beta-blockers may be discontinued after 1 year in certain patient groups.

Beta-blockers have long been considered the standard of care for patients after MI, but trials showing the benefit of these drugs were conducted before the modern era of myocardial reperfusion and pharmacotherapy, which have led to sharp decreases in the risk for heart failure and for death after MI, Dr. Silvain explained. 

This has led to questions about the add-on benefits of lifelong beta-blocker treatment for patients with MI and a preserved left ventricular ejection fraction and no other primary indication for beta-blocker therapy.
 

The ABYSS Trial

To explore this issue, the open-label, non-inferiority ABYSS trial randomly assigned 3698 patients with a history of MI to the discontinuation or continuation of beta-blocker treatment. All study participants had a left ventricular ejection fraction of at least 40%, were receiving long-term beta-blocker treatment, and had experienced no cardiovascular event in the previous 6 months. 

At a median follow-up of 3 years, the primary endpoint — a composite of death, MI, stroke, and hospitalization for cardiovascular reasons — occurred more often in the discontinuation group than in the continuation group (23.8% vs 21.1%; hazard ratio, 1.16; 95% CI, 1.01-1.33). This did not meet the criteria for non-inferiority of discontinuation, compared with continuation, of beta-blocker therapy (P for non-inferiority = .44).

The difference in event rates between the two groups was driven by cardiovascular hospitalizations, which occurred more often in the discontinuation group than in the continuation group (18.9% vs 16.6%).

Other key results showed that there was no difference in quality of life between the two groups.

However, 6 months after randomization, there were increases in blood pressure and heart rate in the discontinuation group. Systolic blood pressure increased by 3.7 mm Hg and diastolic blood pressure increased by 3.9 mm Hg. Resting heart rate increased by 9.8 beats per minute.

“We were not able to show the non-inferiority of stopping beta-blockers in terms of cardiovascular events, [but we] showed a safety signal with this strategy of an increase in blood pressure and heart rate, with no improvement in quality of life,” Dr. Sylvain said.

“While recent guidelines suggest it may be reasonable to stop beta-blockers in this population, after these results, I will not be stopping these drugs if they are being well tolerated,” he said.

Sylvain said he was surprised that there was not an improvement in quality of life in the group that discontinued beta-blockers. “We are always told that beta-blockers have many side effects, so we expected to see an improvement in quality of life in the patients who stopped these drugs.”

One possible reason for the lack of improvement in quality of life is that the trial participants had been taking beta-blockers for several years. “We may have, therefore, selected patients who tolerate these drugs quite well. Those who had tolerance issues had probably already stopped taking them,” he explained.

In addition, the patient population had relatively high quality-of-life scores at baseline. “They were well treated and the therapies they were taking were well tolerated, so maybe it is difficult to improve quality of life further,” he said.
 

 

 

The REDUCE-AMI Trial

The ABYSS results appear at first to differ from results from the recent REDUCE-AMI trial, which failed to show the superiority of beta-blocker therapy, compared with no beta-blocker therapy, in acute MI patients with preserved ejection fraction.

But the REDUCE-AMI primary endpoint was a composite of death from any cause or new myocardial infarction; it did not include cardiovascular hospitalization, which was the main driver of the difference in outcomes in the ABYSS study, Dr. Sylvain pointed out.

“We showed an increase in coronary cases of hospitalization with stopping beta-blockers, and you have to remember that beta-blockers were developed to reduce coronary disease,” he said.
 

‘Slightly Inconclusive’

Jane Armitage, MBBS, University of Oxford, England, the ABYSS discussant for the ESC HOTLINE session, pointed out some limitations of the study, which led her to report that the result was “slightly inconclusive.” 

The open-label design may have allowed some bias regarding the cardiovascular hospitalization endpoint, she said.

“The decision whether to admit a patient to [the] hospital is somewhat subjective and could be influenced by a physician’s knowledge of treatment allocation. That is why, ideally, we prefer blinded trials. I think there are questions there,” she explained.

She also questioned whether the non-inferiority margin could have been increased, given the higher-than-expected event rate.

More data on this issue will come from several trials that are currently ongoing, Dr. Armitage said.

The ABYSS and REDUCE-AMI trials together suggest that it is safe, with respect to serious cardiac events, to stop beta-blocker treatment in MI patients with preserved ejection fraction, writes Tomas Jernberg, MD, PhD, from the Karolinska Institute in Stockholm, Sweden, in an accompanying editorial.

However, “because of the anti-ischemic effects of beta-blockers, an interruption may increase the risk of recurrent angina and the need for rehospitalization,” he adds.

“It is prudent to wait for the results of additional ongoing trials of beta-blockers involving patients with MI and a preserved left ventricular ejection fraction before definitively updating guidelines,” Dr. Jernberg concludes.

The ABYSS trial was funded by the French Ministry of Health and the ACTION Study Group. Dr. Sylvain, Dr. Armitage, and Dr. Jernberg report no relevant financial relationships.

A version of this article appeared on Medscape.com.

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— It may not be advisable for patients with a history of myocardial infarction and preserved left ventricular function to discontinue long-term beta-blocker therapy, warn investigators.

In the randomized ABYSS trial, although there was no difference in death, MI, or stroke between patients who discontinued and those who continued taking beta-blockers, those who stopped taking the drugs had a higher rate of cardiovascular hospitalization.

Discontinuation was also associated with an increase in blood pressure and heart rate, without any improvement in quality of life.

“We thought we would be able to withdraw beta-blockers safely and that this would result in improved quality of life, but our trial results suggest this is not the case,” said lead investigator Johanne Silvain, MD, PhD, from Pitié-Salpêtrière University Hospital in Paris, who presented the ABYSS findings here at the European Society of Cardiology (ESC) Congress. 

The results, which were simultaneously published online in The New England Journal of Medicine, call into question current guidelines, which suggest that beta-blockers may be discontinued after 1 year in certain patient groups.

Beta-blockers have long been considered the standard of care for patients after MI, but trials showing the benefit of these drugs were conducted before the modern era of myocardial reperfusion and pharmacotherapy, which have led to sharp decreases in the risk for heart failure and for death after MI, Dr. Silvain explained. 

This has led to questions about the add-on benefits of lifelong beta-blocker treatment for patients with MI and a preserved left ventricular ejection fraction and no other primary indication for beta-blocker therapy.
 

The ABYSS Trial

To explore this issue, the open-label, non-inferiority ABYSS trial randomly assigned 3698 patients with a history of MI to the discontinuation or continuation of beta-blocker treatment. All study participants had a left ventricular ejection fraction of at least 40%, were receiving long-term beta-blocker treatment, and had experienced no cardiovascular event in the previous 6 months. 

At a median follow-up of 3 years, the primary endpoint — a composite of death, MI, stroke, and hospitalization for cardiovascular reasons — occurred more often in the discontinuation group than in the continuation group (23.8% vs 21.1%; hazard ratio, 1.16; 95% CI, 1.01-1.33). This did not meet the criteria for non-inferiority of discontinuation, compared with continuation, of beta-blocker therapy (P for non-inferiority = .44).

The difference in event rates between the two groups was driven by cardiovascular hospitalizations, which occurred more often in the discontinuation group than in the continuation group (18.9% vs 16.6%).

Other key results showed that there was no difference in quality of life between the two groups.

However, 6 months after randomization, there were increases in blood pressure and heart rate in the discontinuation group. Systolic blood pressure increased by 3.7 mm Hg and diastolic blood pressure increased by 3.9 mm Hg. Resting heart rate increased by 9.8 beats per minute.

“We were not able to show the non-inferiority of stopping beta-blockers in terms of cardiovascular events, [but we] showed a safety signal with this strategy of an increase in blood pressure and heart rate, with no improvement in quality of life,” Dr. Sylvain said.

“While recent guidelines suggest it may be reasonable to stop beta-blockers in this population, after these results, I will not be stopping these drugs if they are being well tolerated,” he said.

Sylvain said he was surprised that there was not an improvement in quality of life in the group that discontinued beta-blockers. “We are always told that beta-blockers have many side effects, so we expected to see an improvement in quality of life in the patients who stopped these drugs.”

One possible reason for the lack of improvement in quality of life is that the trial participants had been taking beta-blockers for several years. “We may have, therefore, selected patients who tolerate these drugs quite well. Those who had tolerance issues had probably already stopped taking them,” he explained.

In addition, the patient population had relatively high quality-of-life scores at baseline. “They were well treated and the therapies they were taking were well tolerated, so maybe it is difficult to improve quality of life further,” he said.
 

 

 

The REDUCE-AMI Trial

The ABYSS results appear at first to differ from results from the recent REDUCE-AMI trial, which failed to show the superiority of beta-blocker therapy, compared with no beta-blocker therapy, in acute MI patients with preserved ejection fraction.

But the REDUCE-AMI primary endpoint was a composite of death from any cause or new myocardial infarction; it did not include cardiovascular hospitalization, which was the main driver of the difference in outcomes in the ABYSS study, Dr. Sylvain pointed out.

“We showed an increase in coronary cases of hospitalization with stopping beta-blockers, and you have to remember that beta-blockers were developed to reduce coronary disease,” he said.
 

‘Slightly Inconclusive’

Jane Armitage, MBBS, University of Oxford, England, the ABYSS discussant for the ESC HOTLINE session, pointed out some limitations of the study, which led her to report that the result was “slightly inconclusive.” 

The open-label design may have allowed some bias regarding the cardiovascular hospitalization endpoint, she said.

“The decision whether to admit a patient to [the] hospital is somewhat subjective and could be influenced by a physician’s knowledge of treatment allocation. That is why, ideally, we prefer blinded trials. I think there are questions there,” she explained.

She also questioned whether the non-inferiority margin could have been increased, given the higher-than-expected event rate.

More data on this issue will come from several trials that are currently ongoing, Dr. Armitage said.

The ABYSS and REDUCE-AMI trials together suggest that it is safe, with respect to serious cardiac events, to stop beta-blocker treatment in MI patients with preserved ejection fraction, writes Tomas Jernberg, MD, PhD, from the Karolinska Institute in Stockholm, Sweden, in an accompanying editorial.

However, “because of the anti-ischemic effects of beta-blockers, an interruption may increase the risk of recurrent angina and the need for rehospitalization,” he adds.

“It is prudent to wait for the results of additional ongoing trials of beta-blockers involving patients with MI and a preserved left ventricular ejection fraction before definitively updating guidelines,” Dr. Jernberg concludes.

The ABYSS trial was funded by the French Ministry of Health and the ACTION Study Group. Dr. Sylvain, Dr. Armitage, and Dr. Jernberg report no relevant financial relationships.

A version of this article appeared on Medscape.com.

— It may not be advisable for patients with a history of myocardial infarction and preserved left ventricular function to discontinue long-term beta-blocker therapy, warn investigators.

In the randomized ABYSS trial, although there was no difference in death, MI, or stroke between patients who discontinued and those who continued taking beta-blockers, those who stopped taking the drugs had a higher rate of cardiovascular hospitalization.

Discontinuation was also associated with an increase in blood pressure and heart rate, without any improvement in quality of life.

“We thought we would be able to withdraw beta-blockers safely and that this would result in improved quality of life, but our trial results suggest this is not the case,” said lead investigator Johanne Silvain, MD, PhD, from Pitié-Salpêtrière University Hospital in Paris, who presented the ABYSS findings here at the European Society of Cardiology (ESC) Congress. 

The results, which were simultaneously published online in The New England Journal of Medicine, call into question current guidelines, which suggest that beta-blockers may be discontinued after 1 year in certain patient groups.

Beta-blockers have long been considered the standard of care for patients after MI, but trials showing the benefit of these drugs were conducted before the modern era of myocardial reperfusion and pharmacotherapy, which have led to sharp decreases in the risk for heart failure and for death after MI, Dr. Silvain explained. 

This has led to questions about the add-on benefits of lifelong beta-blocker treatment for patients with MI and a preserved left ventricular ejection fraction and no other primary indication for beta-blocker therapy.
 

The ABYSS Trial

To explore this issue, the open-label, non-inferiority ABYSS trial randomly assigned 3698 patients with a history of MI to the discontinuation or continuation of beta-blocker treatment. All study participants had a left ventricular ejection fraction of at least 40%, were receiving long-term beta-blocker treatment, and had experienced no cardiovascular event in the previous 6 months. 

At a median follow-up of 3 years, the primary endpoint — a composite of death, MI, stroke, and hospitalization for cardiovascular reasons — occurred more often in the discontinuation group than in the continuation group (23.8% vs 21.1%; hazard ratio, 1.16; 95% CI, 1.01-1.33). This did not meet the criteria for non-inferiority of discontinuation, compared with continuation, of beta-blocker therapy (P for non-inferiority = .44).

The difference in event rates between the two groups was driven by cardiovascular hospitalizations, which occurred more often in the discontinuation group than in the continuation group (18.9% vs 16.6%).

Other key results showed that there was no difference in quality of life between the two groups.

However, 6 months after randomization, there were increases in blood pressure and heart rate in the discontinuation group. Systolic blood pressure increased by 3.7 mm Hg and diastolic blood pressure increased by 3.9 mm Hg. Resting heart rate increased by 9.8 beats per minute.

“We were not able to show the non-inferiority of stopping beta-blockers in terms of cardiovascular events, [but we] showed a safety signal with this strategy of an increase in blood pressure and heart rate, with no improvement in quality of life,” Dr. Sylvain said.

“While recent guidelines suggest it may be reasonable to stop beta-blockers in this population, after these results, I will not be stopping these drugs if they are being well tolerated,” he said.

Sylvain said he was surprised that there was not an improvement in quality of life in the group that discontinued beta-blockers. “We are always told that beta-blockers have many side effects, so we expected to see an improvement in quality of life in the patients who stopped these drugs.”

One possible reason for the lack of improvement in quality of life is that the trial participants had been taking beta-blockers for several years. “We may have, therefore, selected patients who tolerate these drugs quite well. Those who had tolerance issues had probably already stopped taking them,” he explained.

In addition, the patient population had relatively high quality-of-life scores at baseline. “They were well treated and the therapies they were taking were well tolerated, so maybe it is difficult to improve quality of life further,” he said.
 

 

 

The REDUCE-AMI Trial

The ABYSS results appear at first to differ from results from the recent REDUCE-AMI trial, which failed to show the superiority of beta-blocker therapy, compared with no beta-blocker therapy, in acute MI patients with preserved ejection fraction.

But the REDUCE-AMI primary endpoint was a composite of death from any cause or new myocardial infarction; it did not include cardiovascular hospitalization, which was the main driver of the difference in outcomes in the ABYSS study, Dr. Sylvain pointed out.

“We showed an increase in coronary cases of hospitalization with stopping beta-blockers, and you have to remember that beta-blockers were developed to reduce coronary disease,” he said.
 

‘Slightly Inconclusive’

Jane Armitage, MBBS, University of Oxford, England, the ABYSS discussant for the ESC HOTLINE session, pointed out some limitations of the study, which led her to report that the result was “slightly inconclusive.” 

The open-label design may have allowed some bias regarding the cardiovascular hospitalization endpoint, she said.

“The decision whether to admit a patient to [the] hospital is somewhat subjective and could be influenced by a physician’s knowledge of treatment allocation. That is why, ideally, we prefer blinded trials. I think there are questions there,” she explained.

She also questioned whether the non-inferiority margin could have been increased, given the higher-than-expected event rate.

More data on this issue will come from several trials that are currently ongoing, Dr. Armitage said.

The ABYSS and REDUCE-AMI trials together suggest that it is safe, with respect to serious cardiac events, to stop beta-blocker treatment in MI patients with preserved ejection fraction, writes Tomas Jernberg, MD, PhD, from the Karolinska Institute in Stockholm, Sweden, in an accompanying editorial.

However, “because of the anti-ischemic effects of beta-blockers, an interruption may increase the risk of recurrent angina and the need for rehospitalization,” he adds.

“It is prudent to wait for the results of additional ongoing trials of beta-blockers involving patients with MI and a preserved left ventricular ejection fraction before definitively updating guidelines,” Dr. Jernberg concludes.

The ABYSS trial was funded by the French Ministry of Health and the ACTION Study Group. Dr. Sylvain, Dr. Armitage, and Dr. Jernberg report no relevant financial relationships.

A version of this article appeared on Medscape.com.

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