David Schmit, MD

Clinical question: How frequent is contamination of skin and clothing during personal protective equipment (PPE) removal, and can it be prevented?

Background: PPE reduces transmission of pathogens to healthcare personnel and patients. However, improper removal can lead to contamination of the skin and clothing. Little information exists describing the frequency and sites of contamination after the removal of gloves or gowns.

Study design: Point prevalence study and quasi-experimental intervention.

Setting: Four northeast Ohio hospitals (university, community, county, and VA); intervention performed at VA hospital.

Synopsis: This study began with 435 glove and gown removal simulations performed at four northeast Ohio hospitals. Skin or clothing contamination occurred in 200 (46%) simulations, with similar frequencies across the four hospitals (42.5%–50.3%). Contamination occurred more frequently in the glove removal versus gown removal (52.9% versus 37.8%, P=0.002). Most common causes of contamination were gloves not covering the wrists, removing the gown over the head, donning gloves before the gown, and touching contaminated gloves.

The intervention, performed at the VA hospital, consisted of educational sessions, videos, demonstrations, and practice donning and doffing PPE, which resulted in reduced skin and clothing contamination (60% before versus 18.9% after, P<0.001) that was sustained at one and three months.

Given that the intervention was quasi-experimental and not randomized, it is difficult to attribute

causality to the intervention, and results must be interpreted with caution.

Bottom line: During the removal of gloves and gowns, skin and clothing contamination is frequent, and a simple educational intervention with visual feedback may reduce rates of contamination.

Citation: Tomas ME, Kundrapu S, Thota P, et al. Contamination of health care personnel during removal of personal protective equipment. JAMA Intern Med. 2015;175(12):1904-1910.

Clinical question: How frequent is contamination of skin and clothing during personal protective equipment (PPE) removal, and can it be prevented?

Background: PPE reduces transmission of pathogens to healthcare personnel and patients. However, improper removal can lead to contamination of the skin and clothing. Little information exists describing the frequency and sites of contamination after the removal of gloves or gowns.

Study design: Point prevalence study and quasi-experimental intervention.

Setting: Four northeast Ohio hospitals (university, community, county, and VA); intervention performed at VA hospital.

Synopsis: This study began with 435 glove and gown removal simulations performed at four northeast Ohio hospitals. Skin or clothing contamination occurred in 200 (46%) simulations, with similar frequencies across the four hospitals (42.5%–50.3%). Contamination occurred more frequently in the glove removal versus gown removal (52.9% versus 37.8%, P=0.002). Most common causes of contamination were gloves not covering the wrists, removing the gown over the head, donning gloves before the gown, and touching contaminated gloves.

The intervention, performed at the VA hospital, consisted of educational sessions, videos, demonstrations, and practice donning and doffing PPE, which resulted in reduced skin and clothing contamination (60% before versus 18.9% after, P<0.001) that was sustained at one and three months.

Given that the intervention was quasi-experimental and not randomized, it is difficult to attribute

causality to the intervention, and results must be interpreted with caution.

Bottom line: During the removal of gloves and gowns, skin and clothing contamination is frequent, and a simple educational intervention with visual feedback may reduce rates of contamination.

Citation: Tomas ME, Kundrapu S, Thota P, et al. Contamination of health care personnel during removal of personal protective equipment. JAMA Intern Med. 2015;175(12):1904-1910.

Clinical question: How frequent is contamination of skin and clothing during personal protective equipment (PPE) removal, and can it be prevented?

Background: PPE reduces transmission of pathogens to healthcare personnel and patients. However, improper removal can lead to contamination of the skin and clothing. Little information exists describing the frequency and sites of contamination after the removal of gloves or gowns.

Study design: Point prevalence study and quasi-experimental intervention.

Setting: Four northeast Ohio hospitals (university, community, county, and VA); intervention performed at VA hospital.

Synopsis: This study began with 435 glove and gown removal simulations performed at four northeast Ohio hospitals. Skin or clothing contamination occurred in 200 (46%) simulations, with similar frequencies across the four hospitals (42.5%–50.3%). Contamination occurred more frequently in the glove removal versus gown removal (52.9% versus 37.8%, P=0.002). Most common causes of contamination were gloves not covering the wrists, removing the gown over the head, donning gloves before the gown, and touching contaminated gloves.

The intervention, performed at the VA hospital, consisted of educational sessions, videos, demonstrations, and practice donning and doffing PPE, which resulted in reduced skin and clothing contamination (60% before versus 18.9% after, P<0.001) that was sustained at one and three months.

Given that the intervention was quasi-experimental and not randomized, it is difficult to attribute

causality to the intervention, and results must be interpreted with caution.

Bottom line: During the removal of gloves and gowns, skin and clothing contamination is frequent, and a simple educational intervention with visual feedback may reduce rates of contamination.

Citation: Tomas ME, Kundrapu S, Thota P, et al. Contamination of health care personnel during removal of personal protective equipment. JAMA Intern Med. 2015;175(12):1904-1910.

Clinical question: What is the risk of acute kidney injury after orthopedic surgery, and does it impact mortality?

Background: Current studies show that acute kidney injury is associated with increased long-term mortality, future development of chronic kidney disease, and increased healthcare costs. However, no externally validated models are available to predict patients undergoing non-cardiac surgery at risk of postoperative acute kidney injury.

Study design: Observational, cohort study.

Setting: Teaching and private hospitals in the National Health Service (NHS) in the Tayside region of Scotland.

Synopsis: Investigators enrolled 10,615 adults >18 years of age undergoing orthopedic surgery into two groups: development cohort (6,220 patients) and validation cohort (4,395 patients). Using the development cohort, seven predictors were identified in the risk model: age at operation, male sex, diabetes, lower estimated glomerular filtration rate (GFR), use of ACE inhibitor/ARB, number of prescribing drugs, and American Society of Anesthesiologists (ASA) grade.

The model’s predictive performance for discrimination was good in the development cohort (C statistic 0.74; 95% CI, 0.72–0.76) and validation cohort (C statistic 0.7). Calibration was good in the development cohort but overestimated the risk in the validation cohort. Postoperative acute kidney injury developed in 672 (10.8%) patients in the development cohort and 295 (6.7%) in the validation cohort. Thirty percent (3,166) of the 10,615 patients enrolled in this study died over the median follow-up of 4.58 years. Survival was worse in the patients with acute kidney injury (adjusted hazard ratio 1.53; 95% CI, 1.38–1.70), worse in the short term (90-day adjusted hazard ratio 2.36; 95% CI, 1.94–2.87), and diminished over time.

Bottom line: A predictive model using age, male sex, diabetes, lower GFR, use of ACE inhibitor/ARB, multiple medications, and ASA grades might predict risk of postoperative acute kidney injury in orthopedic patients.

Citation: Bell S, Dekker FW, Vadiveloo T, et al. Risk of postoperative acute kidney injury in patients undergoing orthopaedic surgery—development and validation of a risk score and effect of acute kidney injury on survival: observational cohort study. BMJ 2015; 351:h5639.

Clinical question: What is the risk of acute kidney injury after orthopedic surgery, and does it impact mortality?

Background: Current studies show that acute kidney injury is associated with increased long-term mortality, future development of chronic kidney disease, and increased healthcare costs. However, no externally validated models are available to predict patients undergoing non-cardiac surgery at risk of postoperative acute kidney injury.

Study design: Observational, cohort study.

Setting: Teaching and private hospitals in the National Health Service (NHS) in the Tayside region of Scotland.

Synopsis: Investigators enrolled 10,615 adults >18 years of age undergoing orthopedic surgery into two groups: development cohort (6,220 patients) and validation cohort (4,395 patients). Using the development cohort, seven predictors were identified in the risk model: age at operation, male sex, diabetes, lower estimated glomerular filtration rate (GFR), use of ACE inhibitor/ARB, number of prescribing drugs, and American Society of Anesthesiologists (ASA) grade.

The model’s predictive performance for discrimination was good in the development cohort (C statistic 0.74; 95% CI, 0.72–0.76) and validation cohort (C statistic 0.7). Calibration was good in the development cohort but overestimated the risk in the validation cohort. Postoperative acute kidney injury developed in 672 (10.8%) patients in the development cohort and 295 (6.7%) in the validation cohort. Thirty percent (3,166) of the 10,615 patients enrolled in this study died over the median follow-up of 4.58 years. Survival was worse in the patients with acute kidney injury (adjusted hazard ratio 1.53; 95% CI, 1.38–1.70), worse in the short term (90-day adjusted hazard ratio 2.36; 95% CI, 1.94–2.87), and diminished over time.

Bottom line: A predictive model using age, male sex, diabetes, lower GFR, use of ACE inhibitor/ARB, multiple medications, and ASA grades might predict risk of postoperative acute kidney injury in orthopedic patients.

Citation: Bell S, Dekker FW, Vadiveloo T, et al. Risk of postoperative acute kidney injury in patients undergoing orthopaedic surgery—development and validation of a risk score and effect of acute kidney injury on survival: observational cohort study. BMJ 2015; 351:h5639.

Clinical question: What is the risk of acute kidney injury after orthopedic surgery, and does it impact mortality?

Background: Current studies show that acute kidney injury is associated with increased long-term mortality, future development of chronic kidney disease, and increased healthcare costs. However, no externally validated models are available to predict patients undergoing non-cardiac surgery at risk of postoperative acute kidney injury.

Study design: Observational, cohort study.

Setting: Teaching and private hospitals in the National Health Service (NHS) in the Tayside region of Scotland.

Synopsis: Investigators enrolled 10,615 adults >18 years of age undergoing orthopedic surgery into two groups: development cohort (6,220 patients) and validation cohort (4,395 patients). Using the development cohort, seven predictors were identified in the risk model: age at operation, male sex, diabetes, lower estimated glomerular filtration rate (GFR), use of ACE inhibitor/ARB, number of prescribing drugs, and American Society of Anesthesiologists (ASA) grade.

The model’s predictive performance for discrimination was good in the development cohort (C statistic 0.74; 95% CI, 0.72–0.76) and validation cohort (C statistic 0.7). Calibration was good in the development cohort but overestimated the risk in the validation cohort. Postoperative acute kidney injury developed in 672 (10.8%) patients in the development cohort and 295 (6.7%) in the validation cohort. Thirty percent (3,166) of the 10,615 patients enrolled in this study died over the median follow-up of 4.58 years. Survival was worse in the patients with acute kidney injury (adjusted hazard ratio 1.53; 95% CI, 1.38–1.70), worse in the short term (90-day adjusted hazard ratio 2.36; 95% CI, 1.94–2.87), and diminished over time.

Bottom line: A predictive model using age, male sex, diabetes, lower GFR, use of ACE inhibitor/ARB, multiple medications, and ASA grades might predict risk of postoperative acute kidney injury in orthopedic patients.

Citation: Bell S, Dekker FW, Vadiveloo T, et al. Risk of postoperative acute kidney injury in patients undergoing orthopaedic surgery—development and validation of a risk score and effect of acute kidney injury on survival: observational cohort study. BMJ 2015; 351:h5639.

Clinical question: Does treating asymptomatic bacteriuria (AB) cause harm in women?

Background: In women with recurrent UTIs, AB is often treated, increasing the risk of multi-drug-resistant bacteria. At the same time, little data exist on the relationship between AB treatment and risk of higher antibiotic resistance in women with recurrent UTIs.

Study design: Follow-up observational, analytical, longitudinal study on a previously randomized clinical trial (RCT).

Setting: Sexually transmitted disease (STD) center in Florence, Italy.

Synopsis: Using the patients from the authors’ previous RCT, the study followed 550 women with recurrent UTIs and AB for a mean of 38.8 months in parallel groups: One group had AB treated, and the other group did not. In the group of women treated with antibiotics, the recurrence rate was 69.6% versus 37.7% in the group not treated (P<0.001). In addition, E. coli isolates showed more resistance to amoxicillin/clavulanic acid (P=0.03), trimethoprim/sulfamethazole (P=0.01), and ciprofloxacin (P=0.03) in the group previously treated with antibiotics.

Given the observational design of the study, data must be interpreted with caution in determining a causal relationship. However, prior studies have shown this relationship, and current Infectious Diseases Society of America guidelines support neither screening nor treating AB.

Bottom line: In women with recurrent UTIs, previous treatment of AB is associated with higher rates of antibiotic-resistant bacteria, causing symptomatic UTIs.

Citation: Cai T, Nsei G, Mazzoli S, et al. Asymptomatic bacteriuria treatment is associated with a higher prevalence of antibiotic resistant strains in women with urinary tract infection. Clin Infect Dis. 2015;61(11):1655-1661.

Short Take

National Healthcare Spending Increased in 2014

Led by expansions under the Affordable Care Act, healthcare spending increased 5.3% from the previous year and now totals $3 trillion, which represents 17.5% of the gross domestic product.

Citation: Martin AB, Hartman M, Benson J, Catlin A. National health spending in 2014: faster growth drive by coverage expansion and prescription drug spending. Health Aff. 2016;35(1):150-160.

Clinical question: Does treating asymptomatic bacteriuria (AB) cause harm in women?

Background: In women with recurrent UTIs, AB is often treated, increasing the risk of multi-drug-resistant bacteria. At the same time, little data exist on the relationship between AB treatment and risk of higher antibiotic resistance in women with recurrent UTIs.

Study design: Follow-up observational, analytical, longitudinal study on a previously randomized clinical trial (RCT).

Setting: Sexually transmitted disease (STD) center in Florence, Italy.

Synopsis: Using the patients from the authors’ previous RCT, the study followed 550 women with recurrent UTIs and AB for a mean of 38.8 months in parallel groups: One group had AB treated, and the other group did not. In the group of women treated with antibiotics, the recurrence rate was 69.6% versus 37.7% in the group not treated (P<0.001). In addition, E. coli isolates showed more resistance to amoxicillin/clavulanic acid (P=0.03), trimethoprim/sulfamethazole (P=0.01), and ciprofloxacin (P=0.03) in the group previously treated with antibiotics.

Given the observational design of the study, data must be interpreted with caution in determining a causal relationship. However, prior studies have shown this relationship, and current Infectious Diseases Society of America guidelines support neither screening nor treating AB.

Bottom line: In women with recurrent UTIs, previous treatment of AB is associated with higher rates of antibiotic-resistant bacteria, causing symptomatic UTIs.

Citation: Cai T, Nsei G, Mazzoli S, et al. Asymptomatic bacteriuria treatment is associated with a higher prevalence of antibiotic resistant strains in women with urinary tract infection. Clin Infect Dis. 2015;61(11):1655-1661.

Short Take

National Healthcare Spending Increased in 2014

Led by expansions under the Affordable Care Act, healthcare spending increased 5.3% from the previous year and now totals $3 trillion, which represents 17.5% of the gross domestic product.

Citation: Martin AB, Hartman M, Benson J, Catlin A. National health spending in 2014: faster growth drive by coverage expansion and prescription drug spending. Health Aff. 2016;35(1):150-160.

Clinical question: Does treating asymptomatic bacteriuria (AB) cause harm in women?

Background: In women with recurrent UTIs, AB is often treated, increasing the risk of multi-drug-resistant bacteria. At the same time, little data exist on the relationship between AB treatment and risk of higher antibiotic resistance in women with recurrent UTIs.

Study design: Follow-up observational, analytical, longitudinal study on a previously randomized clinical trial (RCT).

Setting: Sexually transmitted disease (STD) center in Florence, Italy.

Synopsis: Using the patients from the authors’ previous RCT, the study followed 550 women with recurrent UTIs and AB for a mean of 38.8 months in parallel groups: One group had AB treated, and the other group did not. In the group of women treated with antibiotics, the recurrence rate was 69.6% versus 37.7% in the group not treated (P<0.001). In addition, E. coli isolates showed more resistance to amoxicillin/clavulanic acid (P=0.03), trimethoprim/sulfamethazole (P=0.01), and ciprofloxacin (P=0.03) in the group previously treated with antibiotics.

Given the observational design of the study, data must be interpreted with caution in determining a causal relationship. However, prior studies have shown this relationship, and current Infectious Diseases Society of America guidelines support neither screening nor treating AB.

Bottom line: In women with recurrent UTIs, previous treatment of AB is associated with higher rates of antibiotic-resistant bacteria, causing symptomatic UTIs.

Citation: Cai T, Nsei G, Mazzoli S, et al. Asymptomatic bacteriuria treatment is associated with a higher prevalence of antibiotic resistant strains in women with urinary tract infection. Clin Infect Dis. 2015;61(11):1655-1661.

Short Take

National Healthcare Spending Increased in 2014

Led by expansions under the Affordable Care Act, healthcare spending increased 5.3% from the previous year and now totals $3 trillion, which represents 17.5% of the gross domestic product.

Citation: Martin AB, Hartman M, Benson J, Catlin A. National health spending in 2014: faster growth drive by coverage expansion and prescription drug spending. Health Aff. 2016;35(1):150-160.