Kelli Whitlock Burton

Schizophrenia and severe mood and anxiety disorders are associated with a significantly lower risk of COVID-19 but are tied to a two- to fourfold increased risk of death from the virus, new research shows.

The study results held after the researchers controlled for other risk factors, and they contradict an earlier study that showed no increased mortality risk associated with mood or anxiety disorders. The findings come as the overall number of deaths in the United States approaches 800,000.

“These patients were less likely to be infected because they were probably less exposed, but once they have the infection, they are more prone to worse outcomes,” lead author Antonio L. Teixeira, MD, PhD, professor of psychiatry with McGovern Medical School at the University of Texas Health Science Center at Houston, said in an interview.

The study was published online Nov. 23 in JAMA Network Open.
 

Unexpected finding

Researchers analyzed electronic health records for 2.5 million adults with private health insurance who were tested for COVID-19 in 2020.

The overall positivity rate for the entire cohort was 11.91%, and patients with severe psychiatric illness fell below that rate. Positivity rates were 9.86% for people with schizophrenia or mood disorders and 11.17% among those with anxiety disorder.

Despite their lower positivity rate, patients with schizophrenia had the highest odds of death from COVID-19 after adjustment for age, race, body mass index, and comorbidities (aOR, 3.74; 95% confidence interval, 2.66-5.24).

Those results were not very surprising, Dr. Teixeira said, as earlier studies have reported similar findings. However, the data on individuals with mood and anxiety disorders were unexpected.

Patients with mood disorders were nearly three times as likely to die (aOR, 2.76; 95% CI, 2.00-3.81), and those with anxiety disorders had more than double the mortality risk (aOR, 2.34; 95% CI, 1.68-3.27).

“We were expecting some increase, but there was strong evidence in those populations as well,” he said. “We were especially surprised at the data on patients with anxiety disorders.”
 

An outstanding question

These findings contradict a study published Jan. 27, 2021, in JAMA Psychiatry, that showed no significant increase in mortality risk among those with mood or anxiety disorders.

Study methodology and timing might explain some of the differences, Katlyn Nemani, MD, a research assistant professor of psychiatry at New York University, who led that earlier study, said in an interview.

Dr. Nemani’s study had a smaller study sample, examined mortality over a 30-day period after a positive COVID-19 test, and was limited to the peak of the pandemic in New York, between March and May 2020. Dr. Teixeira’s team examined a full year of data and assessed mortality for 7 days following a positive test.

“It is possible patients with some psychiatric disorders were less likely to receive or successfully respond to treatment for severe COVD-19 which evolved during the course of the pandemic,” Dr. Nemani said, adding that it’s also possible that differences in mortality in the days following infection became attenuated over time.

While a meta-analysis published in July and reported by this news organization at that time did show higher COVID-19 mortality among patients with mood disorders, the risk was far lower than that reported in this new study. That report, which included 33 studies in 22 countries, also found no increase in risk among those with anxiety disorder.

In October, the Centers for Disease Control and Prevention added mood disorders to the list of medical conditions that increase the risk for more severe COVID-19. Schizophrenia was already on that list.

“The outstanding question is what underlies this increased risk,” Dr. Nemani said. “Future studies focused on immune-mediated mechanisms and other potential explanations will help guide targeted interventions to reduce morbidity and mortality in this vulnerable population.”

Funding for the study was not disclosed. Dr. Teixeira and Dr. Nemani report no conflicts of interest.

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

Schizophrenia and severe mood and anxiety disorders are associated with a significantly lower risk of COVID-19 but are tied to a two- to fourfold increased risk of death from the virus, new research shows.

The study results held after the researchers controlled for other risk factors, and they contradict an earlier study that showed no increased mortality risk associated with mood or anxiety disorders. The findings come as the overall number of deaths in the United States approaches 800,000.

“These patients were less likely to be infected because they were probably less exposed, but once they have the infection, they are more prone to worse outcomes,” lead author Antonio L. Teixeira, MD, PhD, professor of psychiatry with McGovern Medical School at the University of Texas Health Science Center at Houston, said in an interview.

The study was published online Nov. 23 in JAMA Network Open.
 

Unexpected finding

Researchers analyzed electronic health records for 2.5 million adults with private health insurance who were tested for COVID-19 in 2020.

The overall positivity rate for the entire cohort was 11.91%, and patients with severe psychiatric illness fell below that rate. Positivity rates were 9.86% for people with schizophrenia or mood disorders and 11.17% among those with anxiety disorder.

Despite their lower positivity rate, patients with schizophrenia had the highest odds of death from COVID-19 after adjustment for age, race, body mass index, and comorbidities (aOR, 3.74; 95% confidence interval, 2.66-5.24).

Those results were not very surprising, Dr. Teixeira said, as earlier studies have reported similar findings. However, the data on individuals with mood and anxiety disorders were unexpected.

Patients with mood disorders were nearly three times as likely to die (aOR, 2.76; 95% CI, 2.00-3.81), and those with anxiety disorders had more than double the mortality risk (aOR, 2.34; 95% CI, 1.68-3.27).

“We were expecting some increase, but there was strong evidence in those populations as well,” he said. “We were especially surprised at the data on patients with anxiety disorders.”
 

An outstanding question

These findings contradict a study published Jan. 27, 2021, in JAMA Psychiatry, that showed no significant increase in mortality risk among those with mood or anxiety disorders.

Study methodology and timing might explain some of the differences, Katlyn Nemani, MD, a research assistant professor of psychiatry at New York University, who led that earlier study, said in an interview.

Dr. Nemani’s study had a smaller study sample, examined mortality over a 30-day period after a positive COVID-19 test, and was limited to the peak of the pandemic in New York, between March and May 2020. Dr. Teixeira’s team examined a full year of data and assessed mortality for 7 days following a positive test.

“It is possible patients with some psychiatric disorders were less likely to receive or successfully respond to treatment for severe COVD-19 which evolved during the course of the pandemic,” Dr. Nemani said, adding that it’s also possible that differences in mortality in the days following infection became attenuated over time.

While a meta-analysis published in July and reported by this news organization at that time did show higher COVID-19 mortality among patients with mood disorders, the risk was far lower than that reported in this new study. That report, which included 33 studies in 22 countries, also found no increase in risk among those with anxiety disorder.

In October, the Centers for Disease Control and Prevention added mood disorders to the list of medical conditions that increase the risk for more severe COVID-19. Schizophrenia was already on that list.

“The outstanding question is what underlies this increased risk,” Dr. Nemani said. “Future studies focused on immune-mediated mechanisms and other potential explanations will help guide targeted interventions to reduce morbidity and mortality in this vulnerable population.”

Funding for the study was not disclosed. Dr. Teixeira and Dr. Nemani report no conflicts of interest.

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

Schizophrenia and severe mood and anxiety disorders are associated with a significantly lower risk of COVID-19 but are tied to a two- to fourfold increased risk of death from the virus, new research shows.

The study results held after the researchers controlled for other risk factors, and they contradict an earlier study that showed no increased mortality risk associated with mood or anxiety disorders. The findings come as the overall number of deaths in the United States approaches 800,000.

“These patients were less likely to be infected because they were probably less exposed, but once they have the infection, they are more prone to worse outcomes,” lead author Antonio L. Teixeira, MD, PhD, professor of psychiatry with McGovern Medical School at the University of Texas Health Science Center at Houston, said in an interview.

The study was published online Nov. 23 in JAMA Network Open.
 

Unexpected finding

Researchers analyzed electronic health records for 2.5 million adults with private health insurance who were tested for COVID-19 in 2020.

The overall positivity rate for the entire cohort was 11.91%, and patients with severe psychiatric illness fell below that rate. Positivity rates were 9.86% for people with schizophrenia or mood disorders and 11.17% among those with anxiety disorder.

Despite their lower positivity rate, patients with schizophrenia had the highest odds of death from COVID-19 after adjustment for age, race, body mass index, and comorbidities (aOR, 3.74; 95% confidence interval, 2.66-5.24).

Those results were not very surprising, Dr. Teixeira said, as earlier studies have reported similar findings. However, the data on individuals with mood and anxiety disorders were unexpected.

Patients with mood disorders were nearly three times as likely to die (aOR, 2.76; 95% CI, 2.00-3.81), and those with anxiety disorders had more than double the mortality risk (aOR, 2.34; 95% CI, 1.68-3.27).

“We were expecting some increase, but there was strong evidence in those populations as well,” he said. “We were especially surprised at the data on patients with anxiety disorders.”
 

An outstanding question

These findings contradict a study published Jan. 27, 2021, in JAMA Psychiatry, that showed no significant increase in mortality risk among those with mood or anxiety disorders.

Study methodology and timing might explain some of the differences, Katlyn Nemani, MD, a research assistant professor of psychiatry at New York University, who led that earlier study, said in an interview.

Dr. Nemani’s study had a smaller study sample, examined mortality over a 30-day period after a positive COVID-19 test, and was limited to the peak of the pandemic in New York, between March and May 2020. Dr. Teixeira’s team examined a full year of data and assessed mortality for 7 days following a positive test.

“It is possible patients with some psychiatric disorders were less likely to receive or successfully respond to treatment for severe COVD-19 which evolved during the course of the pandemic,” Dr. Nemani said, adding that it’s also possible that differences in mortality in the days following infection became attenuated over time.

While a meta-analysis published in July and reported by this news organization at that time did show higher COVID-19 mortality among patients with mood disorders, the risk was far lower than that reported in this new study. That report, which included 33 studies in 22 countries, also found no increase in risk among those with anxiety disorder.

In October, the Centers for Disease Control and Prevention added mood disorders to the list of medical conditions that increase the risk for more severe COVID-19. Schizophrenia was already on that list.

“The outstanding question is what underlies this increased risk,” Dr. Nemani said. “Future studies focused on immune-mediated mechanisms and other potential explanations will help guide targeted interventions to reduce morbidity and mortality in this vulnerable population.”

Funding for the study was not disclosed. Dr. Teixeira and Dr. Nemani report no conflicts of interest.

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

When parents of children with autism spectrum disorder (ASD) participating in the largest clinical trial of intranasal oxytocin to date came in for follow-up visits with investigators, they reported marked improvement in the children’s social functioning.

Kids who rarely communicated with their families began to interact more. Those who usually preferred to isolate themselves started joining their parents for meals. It all seemed so promising – until the data came in.

“Those sounded like real improvements to me, and it seemed like they increased over the period of the study,” lead investigator Linmarie Sikich, MD, an associate clinical professor of psychiatry with Duke University School of Medicine and the Duke Center for Autism and Brain Development, Durham, N.C., told this news organization. “Turns out it wasn’t oxytocin that was making that difference.”

Researchers found that after 24 weeks of daily treatment with intranasal oxytocin, there were no significant differences in social functioning between children who received active treatment and those in the placebo group.

The much-anticipated results were published online in The New England Journal of Medicine. To say that they are disappointing, Dr. Sikich said, is an understatement.
 

Increase in off-label use

Most studies in mouse models of ASD and small trials in children produced conflicting results, although there were modest improvements in social functioning associated with the use of intranasal oxytocin. Some clinicians were already prescribing it off label.

On the basis of this research and early feedback from parents of children, Dr. Sikich and colleagues were hopeful.

However, results from a rigorous, 5-year, $11.4 million randomized trial were negative. Yet, parents were convinced their child improved during the study, and there was a significant increase in off-label prescribing of a treatment her research says doesn’t work. What’s next for oxytocin?

Known as the “love hormone,” oxytocin is a neurotransmitter that is primarily synthesized in the hypothalamus. It plays a role in childbirth and lactation and is also involved in the regulation of social functioning and emotions. Research suggests low oxytocin levels are associated with diminished social functioning, regardless of ASD status.

Its potential as an autism therapy for children has been under study for a decade. Some findings link its use to improvements in core deficits associated with ASD, including repetitive behaviors, fixated or restricted interest, and social communication. A study published in 2020 showed that the treatment improved symptoms in high-functioning adults with ASD.

These were mostly small studies and were underpowered to reliably detect an effect of the therapy on social functioning. They often involved only a single dose of oxytocin. Some studies showed improvements, but others did not.

Still, interest in the treatment grew. Physicians began prescribing it for children with ASD, and parents began buying products containing oxytocin on the internet. Researchers feared this off-label use was becoming widespread, despite inconclusive evidence of efficacy.
 

High hopes

With support from a National Institutes of Health grant, Dr. Sikich and her team designed a phase 2, multicenter, randomized, double-blind, placebo-controlled study to determine whether the use of oxytocin in children with ASD works and is safe.

The challenges began before they even enrolled a single child. A number of behavioral assessment tools are used to measure social function in ASD, but there is no consensus on which one is best.

A simple blood test could determine how much oxytocin from the nasal spray was absorbed in the blood, but identifying how much made it to the brain would require fMRI, which is expensive and is challenging to use in this study population. Then there was the acquisition of the drug itself.

The Food and Drug Administration has approved intravenous oxytocin for inducing labor. Intranasal oxytocin is not approved for any indication and isn’t available commercially in the United States. Patients or researchers must secure the drug from a manufacturer in a country where it is approved or order it from a U.S. pharmacy that is capable of compounding IV oxytocin into an intranasal formulation.

The pharmacy in Switzerland Dr. Sikich planned to use couldn’t make enough for the study. Contracting with a compounding pharmacy in the United States was significantly more expensive and time consuming, but it was the researchers’ only option.

“If it hadn’t been something we expected to have a major benefit, I think we would have given up the project at multiple points along the line due to all of these challenges,” said Dr. Sikich.

In August 2014, with all the pieces finally in place, researchers began enrolling children aged 3-17 years. The final cohort included 290 participants with ASD, 146 in the oxytocin group and 144 in the placebo group. Of these, 48% had minimal verbal fluency, and 52% had fluent verbal speech.

Participants received daily synthetic oxytocin or placebo via a nasal spray for 24 weeks. The daily oxytocin dose was 48 IU for the first 7 weeks. After that, the dosage could be titrated to a maximum of 80 IU/d. The mean maximal total daily dose of oxytocin throughout the study was 67.6 ± 16.9 IU.
 

‘It just didn’t work’

Both study groups showed improvement in social withdrawal beginning at 4 weeks and continuing throughout the trial, as determined on the basis of caretakers’ responses on the Aberrant Behavior Checklist Modified Social Withdrawal Subscale, the study’s primary outcome measure.

Sociability and social motivation also improved in both groups, as measured by the Pervasive Developmental Disorders Behavior Inventory and the Social Responsiveness Scale.

But by the end of the trial, the difference between the groups in improvement of social function wasn’t significant (difference, -0.2 points; P = .61) after adjusting for age, verbal fluency, and baseline oxytocin level.

“We were so convinced that it would work,” Dr. Sikich said, “but it just didn’t.”

From observation, parents were also convinced the therapy was working. At the trial’s conclusion, fewer than half of caregivers correctly guessed whether their child was in the treatment group or the placebo group.

A lot of development changes can happen in a child over 6 months. It’s possible the improvements would have occurred regardless of the trial, Dr. Sikich said. Parents’ perceptions could also be a placebo effect. Their child was in a clinical trial of a drug they believed could improve social functioning, so in their mind, it did.

Caregivers received training in how to identify certain behavioral changes, which may have helped them spot an existing positive change they had previously overlooked. Or they may have worked with their child more intently as a result of their participation in the trial.

“People may start doing more things or doing them more intensively or purposefully, consciously or subconsciously, to try to help their child improve the skills or behaviors targeted by the active therapy in the study,” Dr. Sikich said. “These are things that might really help the child move forward which are completely separate from the medication being studied.”

The safety analysis offered more hopeful results. Only one serious adverse event from the treatment was reported: A 17-year-old participant taking a daily dose of 48 IU experienced a sedating effect while driving and had an accident.
 

Too soon to walk away?

Perhaps the most important take-away from the study is that even if it’s safe, intranasal oxytocin as it is currently used doesn’t work and clinicians shouldn’t prescribe it, said Daniel Geschwind, MD, PhD, director of the University of California, Los Angeles (UCLA) Center for Autism Research, who penned a commentary on the study and discussed the findings with this news organization.

“This study shows that using oxytocin the way it’s used in the community right now is not helping anybody, so why put a child through that?” added Dr. Geschwind, who also is a professor of genetics, neurology, and psychiatry at UCLA.

The trial highlights areas that need to be addressed in order to improve research in the field, he said. Establishing a consensus process to measure social functioning and figuring out a better way to access intranasal oxytocin would lead to studies that are more conclusive, comparable, and less expensive. Dr. Sikich agrees.

Despite the findings, Dr. Geschwind and other autism researchers say it’s too soon to walk away from oxytocin altogether, although it may be time to change the approach to autism research.

“We have to take a page from the playbook of modern medicine in other areas and begin to recognize that these syndromes are incredibly heterogeneous,” Dr. Geschwind says. “We can surmise, although we don’t know, that there might be different biological forms of autism that have different pathways involved that are going to respond differently to different medications.”

Calling the researchers’ efforts “heroic,” Karen Parker, PhD, an associate professor and associate chair of psychiatry and behavioral sciences at Stanford (Calif.) University, says efficacy trials such as this one are critical. However, Dr. Parker said in an interview, there are a number of questions that the study didn’t address.

The majority of medication dispensed in a standard intranasal device is sprayed into the back of the throat. Regular blood tests confirmed that oxytocin was getting into participants’ system, but, given how quickly oxytocin degrades in the blood, Dr. Parker said it’s hard to know just how much reached the brain.

It’s also unclear whether the results would have been different had the treatment been paired with behavioral therapy, an approach Dr. Parker suggests might benefit a subset of children with ASD.

A 2017 study from Dr. Parker’s lab found that children with ASD whose use of oxytocin at baseline was low derived greater benefit from synthetic oxytocin, something the new study failed to find. Still, Dr. Parker said, it’s possible oxytocin might increase social motivation and increase a child’s receptiveness to behavioral therapy.

“When you see a negative trial like this, it decreases enthusiasm for the therapy for autism in this context,” Dr. Parker said. “I hope people who are studying these syndromes will continue to explore oxytocin as a therapy.”

The study was funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development through the Autism Centers of Excellence Program and the Department of Psychiatry and Behavioral Sciences at Duke University. Full disclosures of the authors’ possible conflicts of interest are available online.

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

When parents of children with autism spectrum disorder (ASD) participating in the largest clinical trial of intranasal oxytocin to date came in for follow-up visits with investigators, they reported marked improvement in the children’s social functioning.

Kids who rarely communicated with their families began to interact more. Those who usually preferred to isolate themselves started joining their parents for meals. It all seemed so promising – until the data came in.

“Those sounded like real improvements to me, and it seemed like they increased over the period of the study,” lead investigator Linmarie Sikich, MD, an associate clinical professor of psychiatry with Duke University School of Medicine and the Duke Center for Autism and Brain Development, Durham, N.C., told this news organization. “Turns out it wasn’t oxytocin that was making that difference.”

Researchers found that after 24 weeks of daily treatment with intranasal oxytocin, there were no significant differences in social functioning between children who received active treatment and those in the placebo group.

The much-anticipated results were published online in The New England Journal of Medicine. To say that they are disappointing, Dr. Sikich said, is an understatement.
 

Increase in off-label use

Most studies in mouse models of ASD and small trials in children produced conflicting results, although there were modest improvements in social functioning associated with the use of intranasal oxytocin. Some clinicians were already prescribing it off label.

On the basis of this research and early feedback from parents of children, Dr. Sikich and colleagues were hopeful.

However, results from a rigorous, 5-year, $11.4 million randomized trial were negative. Yet, parents were convinced their child improved during the study, and there was a significant increase in off-label prescribing of a treatment her research says doesn’t work. What’s next for oxytocin?

Known as the “love hormone,” oxytocin is a neurotransmitter that is primarily synthesized in the hypothalamus. It plays a role in childbirth and lactation and is also involved in the regulation of social functioning and emotions. Research suggests low oxytocin levels are associated with diminished social functioning, regardless of ASD status.

Its potential as an autism therapy for children has been under study for a decade. Some findings link its use to improvements in core deficits associated with ASD, including repetitive behaviors, fixated or restricted interest, and social communication. A study published in 2020 showed that the treatment improved symptoms in high-functioning adults with ASD.

These were mostly small studies and were underpowered to reliably detect an effect of the therapy on social functioning. They often involved only a single dose of oxytocin. Some studies showed improvements, but others did not.

Still, interest in the treatment grew. Physicians began prescribing it for children with ASD, and parents began buying products containing oxytocin on the internet. Researchers feared this off-label use was becoming widespread, despite inconclusive evidence of efficacy.
 

High hopes

With support from a National Institutes of Health grant, Dr. Sikich and her team designed a phase 2, multicenter, randomized, double-blind, placebo-controlled study to determine whether the use of oxytocin in children with ASD works and is safe.

The challenges began before they even enrolled a single child. A number of behavioral assessment tools are used to measure social function in ASD, but there is no consensus on which one is best.

A simple blood test could determine how much oxytocin from the nasal spray was absorbed in the blood, but identifying how much made it to the brain would require fMRI, which is expensive and is challenging to use in this study population. Then there was the acquisition of the drug itself.

The Food and Drug Administration has approved intravenous oxytocin for inducing labor. Intranasal oxytocin is not approved for any indication and isn’t available commercially in the United States. Patients or researchers must secure the drug from a manufacturer in a country where it is approved or order it from a U.S. pharmacy that is capable of compounding IV oxytocin into an intranasal formulation.

The pharmacy in Switzerland Dr. Sikich planned to use couldn’t make enough for the study. Contracting with a compounding pharmacy in the United States was significantly more expensive and time consuming, but it was the researchers’ only option.

“If it hadn’t been something we expected to have a major benefit, I think we would have given up the project at multiple points along the line due to all of these challenges,” said Dr. Sikich.

In August 2014, with all the pieces finally in place, researchers began enrolling children aged 3-17 years. The final cohort included 290 participants with ASD, 146 in the oxytocin group and 144 in the placebo group. Of these, 48% had minimal verbal fluency, and 52% had fluent verbal speech.

Participants received daily synthetic oxytocin or placebo via a nasal spray for 24 weeks. The daily oxytocin dose was 48 IU for the first 7 weeks. After that, the dosage could be titrated to a maximum of 80 IU/d. The mean maximal total daily dose of oxytocin throughout the study was 67.6 ± 16.9 IU.
 

‘It just didn’t work’

Both study groups showed improvement in social withdrawal beginning at 4 weeks and continuing throughout the trial, as determined on the basis of caretakers’ responses on the Aberrant Behavior Checklist Modified Social Withdrawal Subscale, the study’s primary outcome measure.

Sociability and social motivation also improved in both groups, as measured by the Pervasive Developmental Disorders Behavior Inventory and the Social Responsiveness Scale.

But by the end of the trial, the difference between the groups in improvement of social function wasn’t significant (difference, -0.2 points; P = .61) after adjusting for age, verbal fluency, and baseline oxytocin level.

“We were so convinced that it would work,” Dr. Sikich said, “but it just didn’t.”

From observation, parents were also convinced the therapy was working. At the trial’s conclusion, fewer than half of caregivers correctly guessed whether their child was in the treatment group or the placebo group.

A lot of development changes can happen in a child over 6 months. It’s possible the improvements would have occurred regardless of the trial, Dr. Sikich said. Parents’ perceptions could also be a placebo effect. Their child was in a clinical trial of a drug they believed could improve social functioning, so in their mind, it did.

Caregivers received training in how to identify certain behavioral changes, which may have helped them spot an existing positive change they had previously overlooked. Or they may have worked with their child more intently as a result of their participation in the trial.

“People may start doing more things or doing them more intensively or purposefully, consciously or subconsciously, to try to help their child improve the skills or behaviors targeted by the active therapy in the study,” Dr. Sikich said. “These are things that might really help the child move forward which are completely separate from the medication being studied.”

The safety analysis offered more hopeful results. Only one serious adverse event from the treatment was reported: A 17-year-old participant taking a daily dose of 48 IU experienced a sedating effect while driving and had an accident.
 

Too soon to walk away?

Perhaps the most important take-away from the study is that even if it’s safe, intranasal oxytocin as it is currently used doesn’t work and clinicians shouldn’t prescribe it, said Daniel Geschwind, MD, PhD, director of the University of California, Los Angeles (UCLA) Center for Autism Research, who penned a commentary on the study and discussed the findings with this news organization.

“This study shows that using oxytocin the way it’s used in the community right now is not helping anybody, so why put a child through that?” added Dr. Geschwind, who also is a professor of genetics, neurology, and psychiatry at UCLA.

The trial highlights areas that need to be addressed in order to improve research in the field, he said. Establishing a consensus process to measure social functioning and figuring out a better way to access intranasal oxytocin would lead to studies that are more conclusive, comparable, and less expensive. Dr. Sikich agrees.

Despite the findings, Dr. Geschwind and other autism researchers say it’s too soon to walk away from oxytocin altogether, although it may be time to change the approach to autism research.

“We have to take a page from the playbook of modern medicine in other areas and begin to recognize that these syndromes are incredibly heterogeneous,” Dr. Geschwind says. “We can surmise, although we don’t know, that there might be different biological forms of autism that have different pathways involved that are going to respond differently to different medications.”

Calling the researchers’ efforts “heroic,” Karen Parker, PhD, an associate professor and associate chair of psychiatry and behavioral sciences at Stanford (Calif.) University, says efficacy trials such as this one are critical. However, Dr. Parker said in an interview, there are a number of questions that the study didn’t address.

The majority of medication dispensed in a standard intranasal device is sprayed into the back of the throat. Regular blood tests confirmed that oxytocin was getting into participants’ system, but, given how quickly oxytocin degrades in the blood, Dr. Parker said it’s hard to know just how much reached the brain.

It’s also unclear whether the results would have been different had the treatment been paired with behavioral therapy, an approach Dr. Parker suggests might benefit a subset of children with ASD.

A 2017 study from Dr. Parker’s lab found that children with ASD whose use of oxytocin at baseline was low derived greater benefit from synthetic oxytocin, something the new study failed to find. Still, Dr. Parker said, it’s possible oxytocin might increase social motivation and increase a child’s receptiveness to behavioral therapy.

“When you see a negative trial like this, it decreases enthusiasm for the therapy for autism in this context,” Dr. Parker said. “I hope people who are studying these syndromes will continue to explore oxytocin as a therapy.”

The study was funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development through the Autism Centers of Excellence Program and the Department of Psychiatry and Behavioral Sciences at Duke University. Full disclosures of the authors’ possible conflicts of interest are available online.

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

When parents of children with autism spectrum disorder (ASD) participating in the largest clinical trial of intranasal oxytocin to date came in for follow-up visits with investigators, they reported marked improvement in the children’s social functioning.

Kids who rarely communicated with their families began to interact more. Those who usually preferred to isolate themselves started joining their parents for meals. It all seemed so promising – until the data came in.

“Those sounded like real improvements to me, and it seemed like they increased over the period of the study,” lead investigator Linmarie Sikich, MD, an associate clinical professor of psychiatry with Duke University School of Medicine and the Duke Center for Autism and Brain Development, Durham, N.C., told this news organization. “Turns out it wasn’t oxytocin that was making that difference.”

Researchers found that after 24 weeks of daily treatment with intranasal oxytocin, there were no significant differences in social functioning between children who received active treatment and those in the placebo group.

The much-anticipated results were published online in The New England Journal of Medicine. To say that they are disappointing, Dr. Sikich said, is an understatement.
 

Increase in off-label use

Most studies in mouse models of ASD and small trials in children produced conflicting results, although there were modest improvements in social functioning associated with the use of intranasal oxytocin. Some clinicians were already prescribing it off label.

On the basis of this research and early feedback from parents of children, Dr. Sikich and colleagues were hopeful.

However, results from a rigorous, 5-year, $11.4 million randomized trial were negative. Yet, parents were convinced their child improved during the study, and there was a significant increase in off-label prescribing of a treatment her research says doesn’t work. What’s next for oxytocin?

Known as the “love hormone,” oxytocin is a neurotransmitter that is primarily synthesized in the hypothalamus. It plays a role in childbirth and lactation and is also involved in the regulation of social functioning and emotions. Research suggests low oxytocin levels are associated with diminished social functioning, regardless of ASD status.

Its potential as an autism therapy for children has been under study for a decade. Some findings link its use to improvements in core deficits associated with ASD, including repetitive behaviors, fixated or restricted interest, and social communication. A study published in 2020 showed that the treatment improved symptoms in high-functioning adults with ASD.

These were mostly small studies and were underpowered to reliably detect an effect of the therapy on social functioning. They often involved only a single dose of oxytocin. Some studies showed improvements, but others did not.

Still, interest in the treatment grew. Physicians began prescribing it for children with ASD, and parents began buying products containing oxytocin on the internet. Researchers feared this off-label use was becoming widespread, despite inconclusive evidence of efficacy.
 

High hopes

With support from a National Institutes of Health grant, Dr. Sikich and her team designed a phase 2, multicenter, randomized, double-blind, placebo-controlled study to determine whether the use of oxytocin in children with ASD works and is safe.

The challenges began before they even enrolled a single child. A number of behavioral assessment tools are used to measure social function in ASD, but there is no consensus on which one is best.

A simple blood test could determine how much oxytocin from the nasal spray was absorbed in the blood, but identifying how much made it to the brain would require fMRI, which is expensive and is challenging to use in this study population. Then there was the acquisition of the drug itself.

The Food and Drug Administration has approved intravenous oxytocin for inducing labor. Intranasal oxytocin is not approved for any indication and isn’t available commercially in the United States. Patients or researchers must secure the drug from a manufacturer in a country where it is approved or order it from a U.S. pharmacy that is capable of compounding IV oxytocin into an intranasal formulation.

The pharmacy in Switzerland Dr. Sikich planned to use couldn’t make enough for the study. Contracting with a compounding pharmacy in the United States was significantly more expensive and time consuming, but it was the researchers’ only option.

“If it hadn’t been something we expected to have a major benefit, I think we would have given up the project at multiple points along the line due to all of these challenges,” said Dr. Sikich.

In August 2014, with all the pieces finally in place, researchers began enrolling children aged 3-17 years. The final cohort included 290 participants with ASD, 146 in the oxytocin group and 144 in the placebo group. Of these, 48% had minimal verbal fluency, and 52% had fluent verbal speech.

Participants received daily synthetic oxytocin or placebo via a nasal spray for 24 weeks. The daily oxytocin dose was 48 IU for the first 7 weeks. After that, the dosage could be titrated to a maximum of 80 IU/d. The mean maximal total daily dose of oxytocin throughout the study was 67.6 ± 16.9 IU.
 

‘It just didn’t work’

Both study groups showed improvement in social withdrawal beginning at 4 weeks and continuing throughout the trial, as determined on the basis of caretakers’ responses on the Aberrant Behavior Checklist Modified Social Withdrawal Subscale, the study’s primary outcome measure.

Sociability and social motivation also improved in both groups, as measured by the Pervasive Developmental Disorders Behavior Inventory and the Social Responsiveness Scale.

But by the end of the trial, the difference between the groups in improvement of social function wasn’t significant (difference, -0.2 points; P = .61) after adjusting for age, verbal fluency, and baseline oxytocin level.

“We were so convinced that it would work,” Dr. Sikich said, “but it just didn’t.”

From observation, parents were also convinced the therapy was working. At the trial’s conclusion, fewer than half of caregivers correctly guessed whether their child was in the treatment group or the placebo group.

A lot of development changes can happen in a child over 6 months. It’s possible the improvements would have occurred regardless of the trial, Dr. Sikich said. Parents’ perceptions could also be a placebo effect. Their child was in a clinical trial of a drug they believed could improve social functioning, so in their mind, it did.

Caregivers received training in how to identify certain behavioral changes, which may have helped them spot an existing positive change they had previously overlooked. Or they may have worked with their child more intently as a result of their participation in the trial.

“People may start doing more things or doing them more intensively or purposefully, consciously or subconsciously, to try to help their child improve the skills or behaviors targeted by the active therapy in the study,” Dr. Sikich said. “These are things that might really help the child move forward which are completely separate from the medication being studied.”

The safety analysis offered more hopeful results. Only one serious adverse event from the treatment was reported: A 17-year-old participant taking a daily dose of 48 IU experienced a sedating effect while driving and had an accident.
 

Too soon to walk away?

Perhaps the most important take-away from the study is that even if it’s safe, intranasal oxytocin as it is currently used doesn’t work and clinicians shouldn’t prescribe it, said Daniel Geschwind, MD, PhD, director of the University of California, Los Angeles (UCLA) Center for Autism Research, who penned a commentary on the study and discussed the findings with this news organization.

“This study shows that using oxytocin the way it’s used in the community right now is not helping anybody, so why put a child through that?” added Dr. Geschwind, who also is a professor of genetics, neurology, and psychiatry at UCLA.

The trial highlights areas that need to be addressed in order to improve research in the field, he said. Establishing a consensus process to measure social functioning and figuring out a better way to access intranasal oxytocin would lead to studies that are more conclusive, comparable, and less expensive. Dr. Sikich agrees.

Despite the findings, Dr. Geschwind and other autism researchers say it’s too soon to walk away from oxytocin altogether, although it may be time to change the approach to autism research.

“We have to take a page from the playbook of modern medicine in other areas and begin to recognize that these syndromes are incredibly heterogeneous,” Dr. Geschwind says. “We can surmise, although we don’t know, that there might be different biological forms of autism that have different pathways involved that are going to respond differently to different medications.”

Calling the researchers’ efforts “heroic,” Karen Parker, PhD, an associate professor and associate chair of psychiatry and behavioral sciences at Stanford (Calif.) University, says efficacy trials such as this one are critical. However, Dr. Parker said in an interview, there are a number of questions that the study didn’t address.

The majority of medication dispensed in a standard intranasal device is sprayed into the back of the throat. Regular blood tests confirmed that oxytocin was getting into participants’ system, but, given how quickly oxytocin degrades in the blood, Dr. Parker said it’s hard to know just how much reached the brain.

It’s also unclear whether the results would have been different had the treatment been paired with behavioral therapy, an approach Dr. Parker suggests might benefit a subset of children with ASD.

A 2017 study from Dr. Parker’s lab found that children with ASD whose use of oxytocin at baseline was low derived greater benefit from synthetic oxytocin, something the new study failed to find. Still, Dr. Parker said, it’s possible oxytocin might increase social motivation and increase a child’s receptiveness to behavioral therapy.

“When you see a negative trial like this, it decreases enthusiasm for the therapy for autism in this context,” Dr. Parker said. “I hope people who are studying these syndromes will continue to explore oxytocin as a therapy.”

The study was funded by the Eunice Kennedy Shriver National Institute of Child Health and Human Development through the Autism Centers of Excellence Program and the Department of Psychiatry and Behavioral Sciences at Duke University. Full disclosures of the authors’ possible conflicts of interest are available online.

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

Drinking coffee or tea is associated with reduced risk for stroke and dementia, with the biggest benefit associated with consuming both beverages, new research suggests.

amenic181/Getty Images

Investigators found that individuals who drank two to three cups of coffee and two to three cups of tea per day had a 30% decrease in incidence of stroke and a 28% lower risk for dementia compared with those who did not.

“From a public health perspective, because regular tea and coffee drinkers comprise such a large proportion of the population and because these beverages tend to be consumed habitually throughout adult life, even small potential health benefits or risks associated with tea and coffee intake may have important public health implications,” the investigators wrote.

The study was published online Nov. 16 in PLOS Medicine.
 

Synergistic effect?

Whereas earlier studies have shown significant health benefits from moderate coffee and tea intake separately, few have examined the effect of drinking both.

Researchers enrolled 365,682 participants from the UK Biobank for the analysis of coffee and tea consumption and stroke and dementia risk and 13,352 participants for the analysis of poststroke dementia.

During a median follow-up of 11.4 years, 2.8% of participants experienced a stroke and 1.4% developed dementia.

After adjustment for confounders, stroke risk was 10% lower in those who drank a half-cup to a cup of coffee per day (P < .001) and 8% lower in those who had more than two cups a day (P = .009). Tea drinkers who had more than two cups a day saw a 16% reduction in stroke (P < .001).

Those who drank both coffee and tea during the day saw the greatest benefit. Drinking two to three cups of coffee and two to three cups of tea lowered stroke risk by 32% (P < .001) and dementia risk by 28% (P = .002).

Drinking both beverages offered significantly greater benefits than drinking just coffee or tea alone, with an 11% lower risk for stroke (P < .001), an 8% lower risk for dementia (P = .001), and 18% lower risk for vascular dementia (P = .001).

Among those participants who experienced a stroke during the follow-up period, drinking two to three cups of coffee was associated with 20% lower risk for poststroke dementia (P = .044), and for those who drank both coffee and tea (half to one cup of coffee and two to three cups of tea per day) the risk for poststroke dementia was lowered by 50% (P =.006).

There was no significant association between coffee and tea consumption and risk for hemorrhagic stroke or Alzheimer’s disease.

The study was funded by the National Natural Science Foundation of China. The authors have disclosed no relevant financial relationships.

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

Drinking coffee or tea is associated with reduced risk for stroke and dementia, with the biggest benefit associated with consuming both beverages, new research suggests.

amenic181/Getty Images

Investigators found that individuals who drank two to three cups of coffee and two to three cups of tea per day had a 30% decrease in incidence of stroke and a 28% lower risk for dementia compared with those who did not.

“From a public health perspective, because regular tea and coffee drinkers comprise such a large proportion of the population and because these beverages tend to be consumed habitually throughout adult life, even small potential health benefits or risks associated with tea and coffee intake may have important public health implications,” the investigators wrote.

The study was published online Nov. 16 in PLOS Medicine.
 

Synergistic effect?

Whereas earlier studies have shown significant health benefits from moderate coffee and tea intake separately, few have examined the effect of drinking both.

Researchers enrolled 365,682 participants from the UK Biobank for the analysis of coffee and tea consumption and stroke and dementia risk and 13,352 participants for the analysis of poststroke dementia.

During a median follow-up of 11.4 years, 2.8% of participants experienced a stroke and 1.4% developed dementia.

After adjustment for confounders, stroke risk was 10% lower in those who drank a half-cup to a cup of coffee per day (P < .001) and 8% lower in those who had more than two cups a day (P = .009). Tea drinkers who had more than two cups a day saw a 16% reduction in stroke (P < .001).

Those who drank both coffee and tea during the day saw the greatest benefit. Drinking two to three cups of coffee and two to three cups of tea lowered stroke risk by 32% (P < .001) and dementia risk by 28% (P = .002).

Drinking both beverages offered significantly greater benefits than drinking just coffee or tea alone, with an 11% lower risk for stroke (P < .001), an 8% lower risk for dementia (P = .001), and 18% lower risk for vascular dementia (P = .001).

Among those participants who experienced a stroke during the follow-up period, drinking two to three cups of coffee was associated with 20% lower risk for poststroke dementia (P = .044), and for those who drank both coffee and tea (half to one cup of coffee and two to three cups of tea per day) the risk for poststroke dementia was lowered by 50% (P =.006).

There was no significant association between coffee and tea consumption and risk for hemorrhagic stroke or Alzheimer’s disease.

The study was funded by the National Natural Science Foundation of China. The authors have disclosed no relevant financial relationships.

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

Drinking coffee or tea is associated with reduced risk for stroke and dementia, with the biggest benefit associated with consuming both beverages, new research suggests.

amenic181/Getty Images

Investigators found that individuals who drank two to three cups of coffee and two to three cups of tea per day had a 30% decrease in incidence of stroke and a 28% lower risk for dementia compared with those who did not.

“From a public health perspective, because regular tea and coffee drinkers comprise such a large proportion of the population and because these beverages tend to be consumed habitually throughout adult life, even small potential health benefits or risks associated with tea and coffee intake may have important public health implications,” the investigators wrote.

The study was published online Nov. 16 in PLOS Medicine.
 

Synergistic effect?

Whereas earlier studies have shown significant health benefits from moderate coffee and tea intake separately, few have examined the effect of drinking both.

Researchers enrolled 365,682 participants from the UK Biobank for the analysis of coffee and tea consumption and stroke and dementia risk and 13,352 participants for the analysis of poststroke dementia.

During a median follow-up of 11.4 years, 2.8% of participants experienced a stroke and 1.4% developed dementia.

After adjustment for confounders, stroke risk was 10% lower in those who drank a half-cup to a cup of coffee per day (P < .001) and 8% lower in those who had more than two cups a day (P = .009). Tea drinkers who had more than two cups a day saw a 16% reduction in stroke (P < .001).

Those who drank both coffee and tea during the day saw the greatest benefit. Drinking two to three cups of coffee and two to three cups of tea lowered stroke risk by 32% (P < .001) and dementia risk by 28% (P = .002).

Drinking both beverages offered significantly greater benefits than drinking just coffee or tea alone, with an 11% lower risk for stroke (P < .001), an 8% lower risk for dementia (P = .001), and 18% lower risk for vascular dementia (P = .001).

Among those participants who experienced a stroke during the follow-up period, drinking two to three cups of coffee was associated with 20% lower risk for poststroke dementia (P = .044), and for those who drank both coffee and tea (half to one cup of coffee and two to three cups of tea per day) the risk for poststroke dementia was lowered by 50% (P =.006).

There was no significant association between coffee and tea consumption and risk for hemorrhagic stroke or Alzheimer’s disease.

The study was funded by the National Natural Science Foundation of China. The authors have disclosed no relevant financial relationships.

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

High genetic risk for a range of psychiatric illnesses appears to influence individuals’ choice of urban or rural life, new research suggests.

Individuals with a genetic predisposition to schizophrenia, bipolar disorder (BD), autism spectrum disorder (ASD), or anorexia nervosa (AN) are significantly more likely to move from a rural to an urban setting, whereas those at high genetic risk for attention-deficit/hyperactivity disorder were more likely to do the opposite.

The findings held even in those at high genetic risk who had never been diagnosed with a psychiatric disorder, highlighting a genetic factor that previous research linking urban living to mental illness has not explored.

“It’s not as simple as saying that urban environment is responsible for schizophrenia and everyone should move out of urban environments and they will be safe,” study investigator Evangelos Vassos, MD, PhD, senior clinical research fellow at King’s College London, and a consulting psychiatrist, said in an interview. “If you are genetically predisposed to schizophrenia, you will still be predisposed to schizophrenia even if you move.”

The study was published online in JAMA Psychiatry.
 

Genetic influence

The study results don’t rule out environmental influence, but offer evidence that the migration pattern researchers have tracked for years may have a multifactorial explanation.

“Our research shows that, at some level, an individual’s genes select their environment and that the relationship between environmental and genetic influences on mental health is interrelated,” Jessye Maxwell, MSc, lead author and a PhD candidate in psychiatry at King’s College, said in a statement. “This overlap needs to be considered when developing models to predict the risk of people developing mental health conditions in the future.”

For the study, the investigators calculated polygenic risk scores (PRS) of different psychiatric illnesses for 385,793 U.K. Biobank participants aged 37-73. PRS analyzes genetic information across a person’s entire genome, rather than by individual genes.

They used address history and U.K. census records from 1931 to 2011 to map population density over time.

PRS analyses showed significant associations with higher population density throughout adulthood, reaching highest significance between age 45 and 55 years for schizophrenia (88 people/km²; 95% confidence interval, 65-98 people/km²), BD (44 people/km²; 95%CI, 34-54 people/km²), AN (36 people/km²; 95%CI, 22-50 people/km²), and ASD (35 people/km²; 95%CI, 25-45 people/km²).

When they compared those who were born and stayed in rural or suburban areas to their counterparts who moved from those areas to cities, they found the odds of moving to urban areas ranged from 5% among people at high genetic risk for schizophrenia to 13% of those with a high risk for BD. Only people at high risk for ADHD were more likely to move to rural areas.

However, the study is not without its limitations. Only people of European descent were included, family medical history was unavailable for some participants, and only about 50,000 people had a lifetime diagnosis of mental illness, which is not representative of the general population.
 

‘Convincing evidence’

Still, the research adds another piece of the puzzle scientists seek to solve about where people live and mental illness risk, said Jordan DeVylder, PhD, associate professor of social work at Fordham University, New York, who commented on the study for this news organization.

Dr. DeVylder, who has also published research on the topic but was not part of the current study, noted that urban living has long been thought to be among the most consistent environmental risk factors for psychosis. However, he noted, “this association can also be explained by genetic selection, in which the same genes that predispose one to schizophrenia also predispose one to choose urban living.”

“This study presents the most convincing evidence to date that genetics have a major role in this association, at least in the countries where this association between urban living and psychosis exists,” he said.

The study was funded by National Institute for Health Research, Biomedical Research Centre at South London and Maudsley National Health Service Foundation Trust and King’s College London. The authors and Dr. DeVylder have disclosed no relevant financial relationships.

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

High genetic risk for a range of psychiatric illnesses appears to influence individuals’ choice of urban or rural life, new research suggests.

Individuals with a genetic predisposition to schizophrenia, bipolar disorder (BD), autism spectrum disorder (ASD), or anorexia nervosa (AN) are significantly more likely to move from a rural to an urban setting, whereas those at high genetic risk for attention-deficit/hyperactivity disorder were more likely to do the opposite.

The findings held even in those at high genetic risk who had never been diagnosed with a psychiatric disorder, highlighting a genetic factor that previous research linking urban living to mental illness has not explored.

“It’s not as simple as saying that urban environment is responsible for schizophrenia and everyone should move out of urban environments and they will be safe,” study investigator Evangelos Vassos, MD, PhD, senior clinical research fellow at King’s College London, and a consulting psychiatrist, said in an interview. “If you are genetically predisposed to schizophrenia, you will still be predisposed to schizophrenia even if you move.”

The study was published online in JAMA Psychiatry.
 

Genetic influence

The study results don’t rule out environmental influence, but offer evidence that the migration pattern researchers have tracked for years may have a multifactorial explanation.

“Our research shows that, at some level, an individual’s genes select their environment and that the relationship between environmental and genetic influences on mental health is interrelated,” Jessye Maxwell, MSc, lead author and a PhD candidate in psychiatry at King’s College, said in a statement. “This overlap needs to be considered when developing models to predict the risk of people developing mental health conditions in the future.”

For the study, the investigators calculated polygenic risk scores (PRS) of different psychiatric illnesses for 385,793 U.K. Biobank participants aged 37-73. PRS analyzes genetic information across a person’s entire genome, rather than by individual genes.

They used address history and U.K. census records from 1931 to 2011 to map population density over time.

PRS analyses showed significant associations with higher population density throughout adulthood, reaching highest significance between age 45 and 55 years for schizophrenia (88 people/km²; 95% confidence interval, 65-98 people/km²), BD (44 people/km²; 95%CI, 34-54 people/km²), AN (36 people/km²; 95%CI, 22-50 people/km²), and ASD (35 people/km²; 95%CI, 25-45 people/km²).

When they compared those who were born and stayed in rural or suburban areas to their counterparts who moved from those areas to cities, they found the odds of moving to urban areas ranged from 5% among people at high genetic risk for schizophrenia to 13% of those with a high risk for BD. Only people at high risk for ADHD were more likely to move to rural areas.

However, the study is not without its limitations. Only people of European descent were included, family medical history was unavailable for some participants, and only about 50,000 people had a lifetime diagnosis of mental illness, which is not representative of the general population.
 

‘Convincing evidence’

Still, the research adds another piece of the puzzle scientists seek to solve about where people live and mental illness risk, said Jordan DeVylder, PhD, associate professor of social work at Fordham University, New York, who commented on the study for this news organization.

Dr. DeVylder, who has also published research on the topic but was not part of the current study, noted that urban living has long been thought to be among the most consistent environmental risk factors for psychosis. However, he noted, “this association can also be explained by genetic selection, in which the same genes that predispose one to schizophrenia also predispose one to choose urban living.”

“This study presents the most convincing evidence to date that genetics have a major role in this association, at least in the countries where this association between urban living and psychosis exists,” he said.

The study was funded by National Institute for Health Research, Biomedical Research Centre at South London and Maudsley National Health Service Foundation Trust and King’s College London. The authors and Dr. DeVylder have disclosed no relevant financial relationships.

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

High genetic risk for a range of psychiatric illnesses appears to influence individuals’ choice of urban or rural life, new research suggests.

Individuals with a genetic predisposition to schizophrenia, bipolar disorder (BD), autism spectrum disorder (ASD), or anorexia nervosa (AN) are significantly more likely to move from a rural to an urban setting, whereas those at high genetic risk for attention-deficit/hyperactivity disorder were more likely to do the opposite.

The findings held even in those at high genetic risk who had never been diagnosed with a psychiatric disorder, highlighting a genetic factor that previous research linking urban living to mental illness has not explored.

“It’s not as simple as saying that urban environment is responsible for schizophrenia and everyone should move out of urban environments and they will be safe,” study investigator Evangelos Vassos, MD, PhD, senior clinical research fellow at King’s College London, and a consulting psychiatrist, said in an interview. “If you are genetically predisposed to schizophrenia, you will still be predisposed to schizophrenia even if you move.”

The study was published online in JAMA Psychiatry.
 

Genetic influence

The study results don’t rule out environmental influence, but offer evidence that the migration pattern researchers have tracked for years may have a multifactorial explanation.

“Our research shows that, at some level, an individual’s genes select their environment and that the relationship between environmental and genetic influences on mental health is interrelated,” Jessye Maxwell, MSc, lead author and a PhD candidate in psychiatry at King’s College, said in a statement. “This overlap needs to be considered when developing models to predict the risk of people developing mental health conditions in the future.”

For the study, the investigators calculated polygenic risk scores (PRS) of different psychiatric illnesses for 385,793 U.K. Biobank participants aged 37-73. PRS analyzes genetic information across a person’s entire genome, rather than by individual genes.

They used address history and U.K. census records from 1931 to 2011 to map population density over time.

PRS analyses showed significant associations with higher population density throughout adulthood, reaching highest significance between age 45 and 55 years for schizophrenia (88 people/km²; 95% confidence interval, 65-98 people/km²), BD (44 people/km²; 95%CI, 34-54 people/km²), AN (36 people/km²; 95%CI, 22-50 people/km²), and ASD (35 people/km²; 95%CI, 25-45 people/km²).

When they compared those who were born and stayed in rural or suburban areas to their counterparts who moved from those areas to cities, they found the odds of moving to urban areas ranged from 5% among people at high genetic risk for schizophrenia to 13% of those with a high risk for BD. Only people at high risk for ADHD were more likely to move to rural areas.

However, the study is not without its limitations. Only people of European descent were included, family medical history was unavailable for some participants, and only about 50,000 people had a lifetime diagnosis of mental illness, which is not representative of the general population.
 

‘Convincing evidence’

Still, the research adds another piece of the puzzle scientists seek to solve about where people live and mental illness risk, said Jordan DeVylder, PhD, associate professor of social work at Fordham University, New York, who commented on the study for this news organization.

Dr. DeVylder, who has also published research on the topic but was not part of the current study, noted that urban living has long been thought to be among the most consistent environmental risk factors for psychosis. However, he noted, “this association can also be explained by genetic selection, in which the same genes that predispose one to schizophrenia also predispose one to choose urban living.”

“This study presents the most convincing evidence to date that genetics have a major role in this association, at least in the countries where this association between urban living and psychosis exists,” he said.

The study was funded by National Institute for Health Research, Biomedical Research Centre at South London and Maudsley National Health Service Foundation Trust and King’s College London. The authors and Dr. DeVylder have disclosed no relevant financial relationships.

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

Sleeping too much or too little can lead to cognitive decline over time, but new research suggests there could be a sleep time “sweet spot” that stabilizes cognitive function.

JGI/Tom Grill/Getty Images

In a longitudinal study, investigators found older adults who slept less than 4.5 hours or more than 6.5 hours a night reported significant cognitive decline over time, but cognitive scores for those with sleep duration in between that range remained stable.

“This really suggests that there’s this middle range, a ‘sweet spot,’ where your sleep is really optimal,” lead author Brendan Lucey, MD, MSCI, associate professor of neurology and director of the Washington University Sleep Medicine Center, St. Louis, said in an interview.

The study, published online Oct. 20, 2021, in the journal Brain, is part of a growing body of research that seeks to determine if sleep can be used as a marker of Alzheimer’s disease progression.
 

A complex relationship

Studies suggest a strong relationship between sleep patterns and Alzheimer’s disease, which affects nearly 6 million Americans. The challenge, Dr. Lucey said, is unwinding the complex links between sleep, AD, and cognitive function.

An earlier study by Dr. Lucey and colleagues found that poor sleep quality is associated with early signs of AD, and a report published in September found that elderly people who slept less than 6 hours a night had a greater burden of amyloid-beta, a hallmark sign of AD.

For this new study, researchers monitored sleep-wake activity over 4-6 nights in 100 participants who underwent annual cognitive assessments and clinical studies, including APOE genotyping, as part of a longitudinal study at the Knight Alzheimer Disease Research Center at Washington University.

Participants also provided cerebrospinal fluid (CSF) total tau and amyloid-beta 42 and wore a small EEG device on their forehead while they slept.

The majority of participants had a clinical dementia rating (CDR) score of 0, indicating no cognitive impairment. Twelve individuals had a CDR greater than 0, with most reporting mild cognitive impairment.

As expected, CSF analysis showed greater evidence of AD pathology in those with a baseline CDR greater than 0.

Changes in cognitive function were measured using a Preclinical Alzheimer Cognitive Composite (PACC) score, a composite of results from a neuropsychological testing battery that included the Free and Cued Selective Reminding Test, the Logical Memory Delayed Recall Test from the Wechsler Memory Scale–Revised, the Digit Symbol Substitution Test from the Wechsler Adult Intelligence Scale–Revised, and the Mini-Mental State Examination.

Researchers found an upside-down U-shaped relationship between PACC scores and sleep duration, with dramatic cognitive decline in those who slept less than 4.5 hours or more than 6.5 hours a night (P < .001 for both).

The U-shaped relationship was also found with measures of sleep phases, including time spent in rapid eye movement and in non-REM sleep (P < .001 for both).

The findings persisted even after controlling for confounders that can affect sleep and cognition, such as age, CSF total tau/amyloid-beta ₄₂ ratio, apo E four-allele carrier status, years of education, and sex.

Understanding how sleep changes at different stages of AD could help researchers determine if sleep can be used as a marker of disease progression, Dr. Lucey said. That could lead to interventions to slow that process.

“We’re not at the point yet where we can say that we need to monitor someone’s sleep time and then do an intervention to see if it would improve their risk for cognitive decline,” said Dr. Lucey, who plans to repeat this sleep study with the same cohort to track changes in sleep patterns and cognitive function over time. “But that’s a question I’m very excited to try to answer.”
 

A component of cognitive health

Commenting on the findings for this news organization, Heather Snyder, PhD, vice president of medical and scientific relations for the Alzheimer’s Association, noted that the study adds to a body of evidence linking sleep and cognition, especially how sleep quality can optimize brain function.

“We’ve seen previous research that’s shown poor sleep contributes to dementia risk, as well as research showing sleep duration may play a role in cognition,” she said.

“We also need studies that look at sleep as an intervention for cognitive health,” Dr. Snyder said. “Sleep is an important aspect of our overall health. Clinicians should have conversations with their patients about sleep as part of standard discussions about their health habits and wellness.”

The study was funded by the National Institutes of Health, the American Sleep Medicine Foundation, the Roger and Paula Riney Fund, and the Daniel J. Brennan, MD Fund. Dr. Lucey consults for Merck and Eli Lilly. Dr. Snyder has disclosed no relevant financial relationships.

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

Sleeping too much or too little can lead to cognitive decline over time, but new research suggests there could be a sleep time “sweet spot” that stabilizes cognitive function.

JGI/Tom Grill/Getty Images

In a longitudinal study, investigators found older adults who slept less than 4.5 hours or more than 6.5 hours a night reported significant cognitive decline over time, but cognitive scores for those with sleep duration in between that range remained stable.

“This really suggests that there’s this middle range, a ‘sweet spot,’ where your sleep is really optimal,” lead author Brendan Lucey, MD, MSCI, associate professor of neurology and director of the Washington University Sleep Medicine Center, St. Louis, said in an interview.

The study, published online Oct. 20, 2021, in the journal Brain, is part of a growing body of research that seeks to determine if sleep can be used as a marker of Alzheimer’s disease progression.
 

A complex relationship

Studies suggest a strong relationship between sleep patterns and Alzheimer’s disease, which affects nearly 6 million Americans. The challenge, Dr. Lucey said, is unwinding the complex links between sleep, AD, and cognitive function.

An earlier study by Dr. Lucey and colleagues found that poor sleep quality is associated with early signs of AD, and a report published in September found that elderly people who slept less than 6 hours a night had a greater burden of amyloid-beta, a hallmark sign of AD.

For this new study, researchers monitored sleep-wake activity over 4-6 nights in 100 participants who underwent annual cognitive assessments and clinical studies, including APOE genotyping, as part of a longitudinal study at the Knight Alzheimer Disease Research Center at Washington University.

Participants also provided cerebrospinal fluid (CSF) total tau and amyloid-beta 42 and wore a small EEG device on their forehead while they slept.

The majority of participants had a clinical dementia rating (CDR) score of 0, indicating no cognitive impairment. Twelve individuals had a CDR greater than 0, with most reporting mild cognitive impairment.

As expected, CSF analysis showed greater evidence of AD pathology in those with a baseline CDR greater than 0.

Changes in cognitive function were measured using a Preclinical Alzheimer Cognitive Composite (PACC) score, a composite of results from a neuropsychological testing battery that included the Free and Cued Selective Reminding Test, the Logical Memory Delayed Recall Test from the Wechsler Memory Scale–Revised, the Digit Symbol Substitution Test from the Wechsler Adult Intelligence Scale–Revised, and the Mini-Mental State Examination.

Researchers found an upside-down U-shaped relationship between PACC scores and sleep duration, with dramatic cognitive decline in those who slept less than 4.5 hours or more than 6.5 hours a night (P < .001 for both).

The U-shaped relationship was also found with measures of sleep phases, including time spent in rapid eye movement and in non-REM sleep (P < .001 for both).

The findings persisted even after controlling for confounders that can affect sleep and cognition, such as age, CSF total tau/amyloid-beta ₄₂ ratio, apo E four-allele carrier status, years of education, and sex.

Understanding how sleep changes at different stages of AD could help researchers determine if sleep can be used as a marker of disease progression, Dr. Lucey said. That could lead to interventions to slow that process.

“We’re not at the point yet where we can say that we need to monitor someone’s sleep time and then do an intervention to see if it would improve their risk for cognitive decline,” said Dr. Lucey, who plans to repeat this sleep study with the same cohort to track changes in sleep patterns and cognitive function over time. “But that’s a question I’m very excited to try to answer.”
 

A component of cognitive health

Commenting on the findings for this news organization, Heather Snyder, PhD, vice president of medical and scientific relations for the Alzheimer’s Association, noted that the study adds to a body of evidence linking sleep and cognition, especially how sleep quality can optimize brain function.

“We’ve seen previous research that’s shown poor sleep contributes to dementia risk, as well as research showing sleep duration may play a role in cognition,” she said.

“We also need studies that look at sleep as an intervention for cognitive health,” Dr. Snyder said. “Sleep is an important aspect of our overall health. Clinicians should have conversations with their patients about sleep as part of standard discussions about their health habits and wellness.”

The study was funded by the National Institutes of Health, the American Sleep Medicine Foundation, the Roger and Paula Riney Fund, and the Daniel J. Brennan, MD Fund. Dr. Lucey consults for Merck and Eli Lilly. Dr. Snyder has disclosed no relevant financial relationships.

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

Sleeping too much or too little can lead to cognitive decline over time, but new research suggests there could be a sleep time “sweet spot” that stabilizes cognitive function.

JGI/Tom Grill/Getty Images

In a longitudinal study, investigators found older adults who slept less than 4.5 hours or more than 6.5 hours a night reported significant cognitive decline over time, but cognitive scores for those with sleep duration in between that range remained stable.

“This really suggests that there’s this middle range, a ‘sweet spot,’ where your sleep is really optimal,” lead author Brendan Lucey, MD, MSCI, associate professor of neurology and director of the Washington University Sleep Medicine Center, St. Louis, said in an interview.

The study, published online Oct. 20, 2021, in the journal Brain, is part of a growing body of research that seeks to determine if sleep can be used as a marker of Alzheimer’s disease progression.
 

A complex relationship

Studies suggest a strong relationship between sleep patterns and Alzheimer’s disease, which affects nearly 6 million Americans. The challenge, Dr. Lucey said, is unwinding the complex links between sleep, AD, and cognitive function.

An earlier study by Dr. Lucey and colleagues found that poor sleep quality is associated with early signs of AD, and a report published in September found that elderly people who slept less than 6 hours a night had a greater burden of amyloid-beta, a hallmark sign of AD.

For this new study, researchers monitored sleep-wake activity over 4-6 nights in 100 participants who underwent annual cognitive assessments and clinical studies, including APOE genotyping, as part of a longitudinal study at the Knight Alzheimer Disease Research Center at Washington University.

Participants also provided cerebrospinal fluid (CSF) total tau and amyloid-beta 42 and wore a small EEG device on their forehead while they slept.

The majority of participants had a clinical dementia rating (CDR) score of 0, indicating no cognitive impairment. Twelve individuals had a CDR greater than 0, with most reporting mild cognitive impairment.

As expected, CSF analysis showed greater evidence of AD pathology in those with a baseline CDR greater than 0.

Changes in cognitive function were measured using a Preclinical Alzheimer Cognitive Composite (PACC) score, a composite of results from a neuropsychological testing battery that included the Free and Cued Selective Reminding Test, the Logical Memory Delayed Recall Test from the Wechsler Memory Scale–Revised, the Digit Symbol Substitution Test from the Wechsler Adult Intelligence Scale–Revised, and the Mini-Mental State Examination.

Researchers found an upside-down U-shaped relationship between PACC scores and sleep duration, with dramatic cognitive decline in those who slept less than 4.5 hours or more than 6.5 hours a night (P < .001 for both).

The U-shaped relationship was also found with measures of sleep phases, including time spent in rapid eye movement and in non-REM sleep (P < .001 for both).

The findings persisted even after controlling for confounders that can affect sleep and cognition, such as age, CSF total tau/amyloid-beta ₄₂ ratio, apo E four-allele carrier status, years of education, and sex.

Understanding how sleep changes at different stages of AD could help researchers determine if sleep can be used as a marker of disease progression, Dr. Lucey said. That could lead to interventions to slow that process.

“We’re not at the point yet where we can say that we need to monitor someone’s sleep time and then do an intervention to see if it would improve their risk for cognitive decline,” said Dr. Lucey, who plans to repeat this sleep study with the same cohort to track changes in sleep patterns and cognitive function over time. “But that’s a question I’m very excited to try to answer.”
 

A component of cognitive health

Commenting on the findings for this news organization, Heather Snyder, PhD, vice president of medical and scientific relations for the Alzheimer’s Association, noted that the study adds to a body of evidence linking sleep and cognition, especially how sleep quality can optimize brain function.

“We’ve seen previous research that’s shown poor sleep contributes to dementia risk, as well as research showing sleep duration may play a role in cognition,” she said.

“We also need studies that look at sleep as an intervention for cognitive health,” Dr. Snyder said. “Sleep is an important aspect of our overall health. Clinicians should have conversations with their patients about sleep as part of standard discussions about their health habits and wellness.”

The study was funded by the National Institutes of Health, the American Sleep Medicine Foundation, the Roger and Paula Riney Fund, and the Daniel J. Brennan, MD Fund. Dr. Lucey consults for Merck and Eli Lilly. Dr. Snyder has disclosed no relevant financial relationships.

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

The prevalence of autism spectrum disorder (ASD) in some New Jersey communities is triple the national average, a new analysis shows.

Investigators found that up to 10% of children in some of the state’s school districts have an ASD diagnosis vs. the national average of just under 2%.

School districts with higher ASD prevalence in the study have expansive health and educational programs in place to diagnose and support children with ASD, which likely contributed to the higher caseloads, senior investigator Walter Zahorodny, PhD, associate professor of pediatrics at New Jersey Medical School in Newark, said in an interview.

“When you have those players on the ground, it’s likely we’re going to be finding more, if not almost all, of the children with autism in a given district,” said Dr. Zahorodny, director of the New Jersey Autism Study for the Centers for Disease Control and Prevention.

The study was published online Oct. 21 in the journal Autism Research.
 

Local analysis

Researchers used the Autism and Developmental Disabilities Monitoring (ADDM) Network, a surveillance method developed by the CDC that includes data collected from health and special education records of children living in 11 communities across the United States. New Jersey is one of the ADDM participating sites.

National data are important, but Dr. Zahorodny and colleagues wanted to examine ASD prevalence at a more granular level, comparing prevalence district by district.

They examined data from 5,453 children who were 8 years old in 2016 and attended public school in Essex, Hudson, Ocean, and Union counties.

The prevalence of ASD was 36 children per 1,000 overall. Hudson County reported the lowest rate, at 31 cases per 1,000 children, and Ocean County reported the highest, at 54 cases per 1,000 children.

Across the region, ASD prevalence was four times higher in boys vs. girls, mirroring national statistics.

High ASD prevalence was more likely in mid-socioeconomic status districts (prevalence ratio [PR], 1.2; P = .01) and in larger school districts (PR, 1.3; P = .004).

Hispanic children had significantly lower ASD prevalence overall compared with White children (PR, 0.6; P < .001). In fact, prevalence was 30%-60% lower among Hispanic children in three of four counties compared with White children.

Another study is underway to better understand why autism rates were lower in specific districts and Hispanic children overall, but Dr. Zahorodny said one possibility is a lack of resources in those districts.
 

Will new methodology miss cases?

The study’s methodology was used by the CDC from 2000 to 2016 and includes assessment of children who have an ASD diagnosis, and children who haven’t received a diagnosis but have documented behaviors consistent with ASD.

In 2018, it was replaced with a less comprehensive approach that relies only on children with an ASD diagnosis. Data using this new methodology have not yet been reported.

In the new study from New Jersey, 767 children with autism were diagnosed by a pediatrician, neurologist, or other community provider. The remaining 175 children with autism, 18.6% of the total cohort, did not have an ASD diagnosis but met the ADDM case definition.

Under the new methodology, those children would not be counted.

“Something could be lost in the new methodology in terms of usefulness of the information because when the estimates are incomplete or low, that might lead people to make the wrong judgments when they make decisions about resources,” Dr. Zahorodny said.

The study was funded by the Centers for Disease Control and Prevention and the National Institutes of Health. The study authors report no relevant financial relationships.

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

The prevalence of autism spectrum disorder (ASD) in some New Jersey communities is triple the national average, a new analysis shows.

Investigators found that up to 10% of children in some of the state’s school districts have an ASD diagnosis vs. the national average of just under 2%.

School districts with higher ASD prevalence in the study have expansive health and educational programs in place to diagnose and support children with ASD, which likely contributed to the higher caseloads, senior investigator Walter Zahorodny, PhD, associate professor of pediatrics at New Jersey Medical School in Newark, said in an interview.

“When you have those players on the ground, it’s likely we’re going to be finding more, if not almost all, of the children with autism in a given district,” said Dr. Zahorodny, director of the New Jersey Autism Study for the Centers for Disease Control and Prevention.

The study was published online Oct. 21 in the journal Autism Research.
 

Local analysis

Researchers used the Autism and Developmental Disabilities Monitoring (ADDM) Network, a surveillance method developed by the CDC that includes data collected from health and special education records of children living in 11 communities across the United States. New Jersey is one of the ADDM participating sites.

National data are important, but Dr. Zahorodny and colleagues wanted to examine ASD prevalence at a more granular level, comparing prevalence district by district.

They examined data from 5,453 children who were 8 years old in 2016 and attended public school in Essex, Hudson, Ocean, and Union counties.

The prevalence of ASD was 36 children per 1,000 overall. Hudson County reported the lowest rate, at 31 cases per 1,000 children, and Ocean County reported the highest, at 54 cases per 1,000 children.

Across the region, ASD prevalence was four times higher in boys vs. girls, mirroring national statistics.

High ASD prevalence was more likely in mid-socioeconomic status districts (prevalence ratio [PR], 1.2; P = .01) and in larger school districts (PR, 1.3; P = .004).

Hispanic children had significantly lower ASD prevalence overall compared with White children (PR, 0.6; P < .001). In fact, prevalence was 30%-60% lower among Hispanic children in three of four counties compared with White children.

Another study is underway to better understand why autism rates were lower in specific districts and Hispanic children overall, but Dr. Zahorodny said one possibility is a lack of resources in those districts.
 

Will new methodology miss cases?

The study’s methodology was used by the CDC from 2000 to 2016 and includes assessment of children who have an ASD diagnosis, and children who haven’t received a diagnosis but have documented behaviors consistent with ASD.

In 2018, it was replaced with a less comprehensive approach that relies only on children with an ASD diagnosis. Data using this new methodology have not yet been reported.

In the new study from New Jersey, 767 children with autism were diagnosed by a pediatrician, neurologist, or other community provider. The remaining 175 children with autism, 18.6% of the total cohort, did not have an ASD diagnosis but met the ADDM case definition.

Under the new methodology, those children would not be counted.

“Something could be lost in the new methodology in terms of usefulness of the information because when the estimates are incomplete or low, that might lead people to make the wrong judgments when they make decisions about resources,” Dr. Zahorodny said.

The study was funded by the Centers for Disease Control and Prevention and the National Institutes of Health. The study authors report no relevant financial relationships.

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

The prevalence of autism spectrum disorder (ASD) in some New Jersey communities is triple the national average, a new analysis shows.

Investigators found that up to 10% of children in some of the state’s school districts have an ASD diagnosis vs. the national average of just under 2%.

School districts with higher ASD prevalence in the study have expansive health and educational programs in place to diagnose and support children with ASD, which likely contributed to the higher caseloads, senior investigator Walter Zahorodny, PhD, associate professor of pediatrics at New Jersey Medical School in Newark, said in an interview.

“When you have those players on the ground, it’s likely we’re going to be finding more, if not almost all, of the children with autism in a given district,” said Dr. Zahorodny, director of the New Jersey Autism Study for the Centers for Disease Control and Prevention.

The study was published online Oct. 21 in the journal Autism Research.
 

Local analysis

Researchers used the Autism and Developmental Disabilities Monitoring (ADDM) Network, a surveillance method developed by the CDC that includes data collected from health and special education records of children living in 11 communities across the United States. New Jersey is one of the ADDM participating sites.

National data are important, but Dr. Zahorodny and colleagues wanted to examine ASD prevalence at a more granular level, comparing prevalence district by district.

They examined data from 5,453 children who were 8 years old in 2016 and attended public school in Essex, Hudson, Ocean, and Union counties.

The prevalence of ASD was 36 children per 1,000 overall. Hudson County reported the lowest rate, at 31 cases per 1,000 children, and Ocean County reported the highest, at 54 cases per 1,000 children.

Across the region, ASD prevalence was four times higher in boys vs. girls, mirroring national statistics.

High ASD prevalence was more likely in mid-socioeconomic status districts (prevalence ratio [PR], 1.2; P = .01) and in larger school districts (PR, 1.3; P = .004).

Hispanic children had significantly lower ASD prevalence overall compared with White children (PR, 0.6; P < .001). In fact, prevalence was 30%-60% lower among Hispanic children in three of four counties compared with White children.

Another study is underway to better understand why autism rates were lower in specific districts and Hispanic children overall, but Dr. Zahorodny said one possibility is a lack of resources in those districts.
 

Will new methodology miss cases?

The study’s methodology was used by the CDC from 2000 to 2016 and includes assessment of children who have an ASD diagnosis, and children who haven’t received a diagnosis but have documented behaviors consistent with ASD.

In 2018, it was replaced with a less comprehensive approach that relies only on children with an ASD diagnosis. Data using this new methodology have not yet been reported.

In the new study from New Jersey, 767 children with autism were diagnosed by a pediatrician, neurologist, or other community provider. The remaining 175 children with autism, 18.6% of the total cohort, did not have an ASD diagnosis but met the ADDM case definition.

Under the new methodology, those children would not be counted.

“Something could be lost in the new methodology in terms of usefulness of the information because when the estimates are incomplete or low, that might lead people to make the wrong judgments when they make decisions about resources,” Dr. Zahorodny said.

The study was funded by the Centers for Disease Control and Prevention and the National Institutes of Health. The study authors report no relevant financial relationships.

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

Sleeping too much or too little can lead to cognitive decline over time, but new research suggests there could be a sleep time “sweet spot” that stabilizes cognitive function.

In a longitudinal study, investigators found older adults who slept less than 4.5 hours or more than 6.5 hours a night reported significant cognitive decline over time, but cognitive scores for those with sleep duration in between that range remained stable.

“This really suggests that there’s this middle range, a ‘sweet spot,’ where your sleep is really optimal,” said lead author Brendan Lucey, MD, MSCI, associate professor of neurology and director of the Washington University Sleep Medicine Center, St. Louis.

The study, published online Oct. 20 in Brain, is part of a growing body of research that seeks to determine if sleep can be used as a marker of Alzheimer’s disease progression.
 

A complex relationship

Studies suggest a strong relationship between sleep patterns and Alzheimer’s disease, which affects nearly 6 million Americans. The challenge, Dr. Lucey said, is unwinding the complex links between sleep, Alzheimer’s disease, and cognitive function.

An earlier study by Dr. Lucey and colleagues found that poor sleep quality is associated with early signs of Alzheimer’s disease, and a report published in September found that elderly people who slept less than 6 hours a night had a greater burden of amyloid beta, a hallmark sign of Alzheimer’s disease.

For this new study, researchers monitored sleep-wake activity over 4-6 nights in 100 participants who underwent annual cognitive assessments and clinical studies, including APOE genotyping, as part of a longitudinal study at the Knight Alzheimer Disease Research Center at Washington University. Participants also provided cerebrospinal fluid (CSF) total tau and amyloid-beta42 and wore a small EEG device on their forehead while they slept.

The majority of participants had a clinical dementia rating (CDR) score of 0, indicating no cognitive impairment. Twelve individuals had a CDR >0, with most reporting mild cognitive impairment.

As expected, CSF analysis showed greater evidence of Alzheimer’s disease pathology in those with a baseline CDR greater than 0.

Changes in cognitive function were measured using a Preclinical Alzheimer Cognitive Composite (PACC) score, a composite of results from a neuropsychological testing battery that included the Free and Cued Selective Reminding Test, the Logical Memory Delayed Recall Test from the Wechsler Memory Scale-Revised, the Digit Symbol Substitution Test from the Wechsler Adult Intelligence Scale-Revised, and the Mini-Mental State Examination.

Researchers found an upside-down U-shaped relationship between PACC scores and sleep duration, with dramatic cognitive decline in those who slept less than 4.5 hours or more than 6.5 hours a night (P < .001 for both). The U-shaped relationship was also found with measures of sleep phases, including time spent in rapid eye movement and in non-REM sleep (P < .001 for both).

The findings persisted even after controlling for confounders that can affect sleep and cognition, such as age, CSF total tau/amyloid-beta-42 ratio, APOE ε4 allele carrier status, years of education, and sex.

Understanding how sleep changes at different stages of Alzheimer’s disease could help researchers determine if sleep can be used as a marker of disease progression, Dr. Lucey said. That could lead to interventions to slow that process.

“We’re not at the point yet where we can say that we need to monitor someone’s sleep time and then do an intervention to see if it would improve their risk for cognitive decline,” said Dr. Lucey, who plans to repeat this sleep study with the same cohort to track changes in sleep patterns and cognitive function over time. “But that’s a question I’m very excited to try to answer.”
 

A component of cognitive health

Commenting on the findings, Heather Snyder, PhD, vice president of medical and scientific relations for the Alzheimer’s Association, noted that the study adds to a body of evidence linking sleep and cognition, especially how sleep quality can optimize brain function.

“We’ve seen previous research that’s shown poor sleep contributes to dementia risk, as well as research showing sleep duration may play a role in cognition,” she said.

“We also need studies that look at sleep as an intervention for cognitive health,” Dr. Snyder said. “Sleep is an important aspect of our overall health. Clinicians should have conversations with their patients about sleep as part of standard discussions about their health habits and wellness.”

The study was funded by the National Institutes of Health, the American Sleep Medicine Foundation, the Roger and Paula Riney Fund, and the Daniel J. Brennan, MD Fund. Dr. Lucey consults for Merck and Eli Lilly. Dr. Snyder has disclosed no relevant financial relationships. Full disclosures are included in the original article.

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

Sleeping too much or too little can lead to cognitive decline over time, but new research suggests there could be a sleep time “sweet spot” that stabilizes cognitive function.

In a longitudinal study, investigators found older adults who slept less than 4.5 hours or more than 6.5 hours a night reported significant cognitive decline over time, but cognitive scores for those with sleep duration in between that range remained stable.

“This really suggests that there’s this middle range, a ‘sweet spot,’ where your sleep is really optimal,” said lead author Brendan Lucey, MD, MSCI, associate professor of neurology and director of the Washington University Sleep Medicine Center, St. Louis.

The study, published online Oct. 20 in Brain, is part of a growing body of research that seeks to determine if sleep can be used as a marker of Alzheimer’s disease progression.
 

A complex relationship

Studies suggest a strong relationship between sleep patterns and Alzheimer’s disease, which affects nearly 6 million Americans. The challenge, Dr. Lucey said, is unwinding the complex links between sleep, Alzheimer’s disease, and cognitive function.

An earlier study by Dr. Lucey and colleagues found that poor sleep quality is associated with early signs of Alzheimer’s disease, and a report published in September found that elderly people who slept less than 6 hours a night had a greater burden of amyloid beta, a hallmark sign of Alzheimer’s disease.

For this new study, researchers monitored sleep-wake activity over 4-6 nights in 100 participants who underwent annual cognitive assessments and clinical studies, including APOE genotyping, as part of a longitudinal study at the Knight Alzheimer Disease Research Center at Washington University. Participants also provided cerebrospinal fluid (CSF) total tau and amyloid-beta42 and wore a small EEG device on their forehead while they slept.

The majority of participants had a clinical dementia rating (CDR) score of 0, indicating no cognitive impairment. Twelve individuals had a CDR >0, with most reporting mild cognitive impairment.

As expected, CSF analysis showed greater evidence of Alzheimer’s disease pathology in those with a baseline CDR greater than 0.

Changes in cognitive function were measured using a Preclinical Alzheimer Cognitive Composite (PACC) score, a composite of results from a neuropsychological testing battery that included the Free and Cued Selective Reminding Test, the Logical Memory Delayed Recall Test from the Wechsler Memory Scale-Revised, the Digit Symbol Substitution Test from the Wechsler Adult Intelligence Scale-Revised, and the Mini-Mental State Examination.

Researchers found an upside-down U-shaped relationship between PACC scores and sleep duration, with dramatic cognitive decline in those who slept less than 4.5 hours or more than 6.5 hours a night (P < .001 for both). The U-shaped relationship was also found with measures of sleep phases, including time spent in rapid eye movement and in non-REM sleep (P < .001 for both).

The findings persisted even after controlling for confounders that can affect sleep and cognition, such as age, CSF total tau/amyloid-beta-42 ratio, APOE ε4 allele carrier status, years of education, and sex.

Understanding how sleep changes at different stages of Alzheimer’s disease could help researchers determine if sleep can be used as a marker of disease progression, Dr. Lucey said. That could lead to interventions to slow that process.

“We’re not at the point yet where we can say that we need to monitor someone’s sleep time and then do an intervention to see if it would improve their risk for cognitive decline,” said Dr. Lucey, who plans to repeat this sleep study with the same cohort to track changes in sleep patterns and cognitive function over time. “But that’s a question I’m very excited to try to answer.”
 

A component of cognitive health

Commenting on the findings, Heather Snyder, PhD, vice president of medical and scientific relations for the Alzheimer’s Association, noted that the study adds to a body of evidence linking sleep and cognition, especially how sleep quality can optimize brain function.

“We’ve seen previous research that’s shown poor sleep contributes to dementia risk, as well as research showing sleep duration may play a role in cognition,” she said.

“We also need studies that look at sleep as an intervention for cognitive health,” Dr. Snyder said. “Sleep is an important aspect of our overall health. Clinicians should have conversations with their patients about sleep as part of standard discussions about their health habits and wellness.”

The study was funded by the National Institutes of Health, the American Sleep Medicine Foundation, the Roger and Paula Riney Fund, and the Daniel J. Brennan, MD Fund. Dr. Lucey consults for Merck and Eli Lilly. Dr. Snyder has disclosed no relevant financial relationships. Full disclosures are included in the original article.

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

Sleeping too much or too little can lead to cognitive decline over time, but new research suggests there could be a sleep time “sweet spot” that stabilizes cognitive function.

In a longitudinal study, investigators found older adults who slept less than 4.5 hours or more than 6.5 hours a night reported significant cognitive decline over time, but cognitive scores for those with sleep duration in between that range remained stable.

“This really suggests that there’s this middle range, a ‘sweet spot,’ where your sleep is really optimal,” said lead author Brendan Lucey, MD, MSCI, associate professor of neurology and director of the Washington University Sleep Medicine Center, St. Louis.

The study, published online Oct. 20 in Brain, is part of a growing body of research that seeks to determine if sleep can be used as a marker of Alzheimer’s disease progression.
 

A complex relationship

Studies suggest a strong relationship between sleep patterns and Alzheimer’s disease, which affects nearly 6 million Americans. The challenge, Dr. Lucey said, is unwinding the complex links between sleep, Alzheimer’s disease, and cognitive function.

An earlier study by Dr. Lucey and colleagues found that poor sleep quality is associated with early signs of Alzheimer’s disease, and a report published in September found that elderly people who slept less than 6 hours a night had a greater burden of amyloid beta, a hallmark sign of Alzheimer’s disease.

For this new study, researchers monitored sleep-wake activity over 4-6 nights in 100 participants who underwent annual cognitive assessments and clinical studies, including APOE genotyping, as part of a longitudinal study at the Knight Alzheimer Disease Research Center at Washington University. Participants also provided cerebrospinal fluid (CSF) total tau and amyloid-beta42 and wore a small EEG device on their forehead while they slept.

The majority of participants had a clinical dementia rating (CDR) score of 0, indicating no cognitive impairment. Twelve individuals had a CDR >0, with most reporting mild cognitive impairment.

As expected, CSF analysis showed greater evidence of Alzheimer’s disease pathology in those with a baseline CDR greater than 0.

Changes in cognitive function were measured using a Preclinical Alzheimer Cognitive Composite (PACC) score, a composite of results from a neuropsychological testing battery that included the Free and Cued Selective Reminding Test, the Logical Memory Delayed Recall Test from the Wechsler Memory Scale-Revised, the Digit Symbol Substitution Test from the Wechsler Adult Intelligence Scale-Revised, and the Mini-Mental State Examination.

Researchers found an upside-down U-shaped relationship between PACC scores and sleep duration, with dramatic cognitive decline in those who slept less than 4.5 hours or more than 6.5 hours a night (P < .001 for both). The U-shaped relationship was also found with measures of sleep phases, including time spent in rapid eye movement and in non-REM sleep (P < .001 for both).

The findings persisted even after controlling for confounders that can affect sleep and cognition, such as age, CSF total tau/amyloid-beta-42 ratio, APOE ε4 allele carrier status, years of education, and sex.

Understanding how sleep changes at different stages of Alzheimer’s disease could help researchers determine if sleep can be used as a marker of disease progression, Dr. Lucey said. That could lead to interventions to slow that process.

“We’re not at the point yet where we can say that we need to monitor someone’s sleep time and then do an intervention to see if it would improve their risk for cognitive decline,” said Dr. Lucey, who plans to repeat this sleep study with the same cohort to track changes in sleep patterns and cognitive function over time. “But that’s a question I’m very excited to try to answer.”
 

A component of cognitive health

Commenting on the findings, Heather Snyder, PhD, vice president of medical and scientific relations for the Alzheimer’s Association, noted that the study adds to a body of evidence linking sleep and cognition, especially how sleep quality can optimize brain function.

“We’ve seen previous research that’s shown poor sleep contributes to dementia risk, as well as research showing sleep duration may play a role in cognition,” she said.

“We also need studies that look at sleep as an intervention for cognitive health,” Dr. Snyder said. “Sleep is an important aspect of our overall health. Clinicians should have conversations with their patients about sleep as part of standard discussions about their health habits and wellness.”

The study was funded by the National Institutes of Health, the American Sleep Medicine Foundation, the Roger and Paula Riney Fund, and the Daniel J. Brennan, MD Fund. Dr. Lucey consults for Merck and Eli Lilly. Dr. Snyder has disclosed no relevant financial relationships. Full disclosures are included in the original article.

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

Misuse of buprenorphine in the United States by patients with opioid use disorder (OUD) dropped sharply between 2015 and 2019, new research shows.

Analyses of data from the National Survey on Drug Use and Health also showed that about 50% of the patients with OUD were not receiving substance use treatment – and that some may be misusing buprenorphine in an effort to self-treat their addiction.

Interestingly, there was no association between buprenorphine misuse and income among those with OUD or with race, ethnicity, or insurance status regardless of OUD status, which bucks commonly held perceptions of those with the disorder.

Overall, the findings “underscore the need to pursue actions that expand access to buprenorphine-based OUD treatment, to develop strategies to monitor and reduce buprenorphine misuse, and to address associated conditions,” the investigators, led by Beth Han, MD, PhD, National Institute on Drug Abuse (NIDA), write.

The study was published online October 15 in JAMA Network Open.
 

Opioid deaths

Centers for Disease Control and Prevention data show more than 93,000 individuals in the United States died from a drug overdose in 2020, a 29.4% increase from the previous year. Of those deaths, 69,710 involved opioids.

Buprenorphine, a medication approved by the U.S. Food and Drug Administration to treat OUD, has been shown to reduce opioid cravings and withdrawal symptoms and lower overdose risk.

The new survey included responses from 214,505 adults. Of these, 51.7% were women, 45.5% were age 50 years or older, and 63.9% were non-Hispanic White.

Responses were collected between 2015-2019 as part of an annual survey administered annually by the Substance Abuse and Mental Health Services Administration.

Misuse was defined as any use outside the prescribed amount, frequency, duration, or indication.

In 2019, hydrocodone, oxycodone, codeine, and tramadol were the most misused prescription opioid products. An estimated 2.4 million adults used buprenorphine, with 1.7 million reporting no misuse in the past 12 months.

While buprenorphine misuse was stable between 2015 and 2019 among individuals without OUD, misuse declined significantly among those with OUD – from 20.5% in 2015 to 15.9% in 2019 (P = .04).
 

A different picture of misuse

The demographic data reveals a picture of buprenorphine misuse that researchers note is quite different from common perceptions about people with substance use.

Those with OUD who misused buprenorphine were more likely to be non-Hispanic White (82.9% vs. 73.6%, respectively) and less likely to live in large metropolitan areas (47.7% vs. 58.1%).

Among participants with OUD, buprenorphine misuse was significantly associated with age, especially in those between 24 and 34 years (adjusted odds ratio [aOR], 2.9; 95% confidence interval, 1.4-5.8) and between 35 and 49 years (aOR, 2.3; 95% CI, 1.2-4.5).

It was also significantly associated with living in nonmetropolitan areas (aOR, 1.8; 95% CI, 1.0-3.0) and having past-year polysubstance use and use disorders (aOR, 3.9; 95% CI, 1.3-11.2); but negatively associated with past-year treatment for illicit drug use–only treatment (aOR, 0.4; 95% CI, 0.3-0.7).

There was no significant association between buprenorphine misuse and income in participants with OUD or with race, ethnicity, or insurance status, regardless of OUD status.

“Perceptions that persons of racial and ethnic minority groups and people living in poverty are more likely to misuse their medication are incorrect,” the researchers write.

“Nevertheless, these factors have been found to be important factors associated with opioid harms and receipt of buprenorphine treatment,” they add.

Between 2015 and 2017, the largest increase in opioid-related drug overdose deaths was among Black people aged 25 to 34, and the largest increase involving synthetic opioids was among Hispanic individuals aged 45 to 54. At the same time, White people were more likely to receive buprenorphine treatment for OUD.
 

‘Don’t exaggerate concerns’

Among survey participants with OUD, 57% of those who had misused buprenorphine in the past year had received no substance use treatment. Among those with OUD who had not misused the drug in the past year, 49% had received no treatment for their addiction.

The most common reason for buprenorphine misuse cited by those with OUD was “because I am hooked” (27.3%), which researchers said suggests people may be taking buprenorphine without a prescription to self-treat their OUD.

The investigators note that although buprenorphine is inexpensive and effective, clinicians currently must receive a federal waiver to prescribe it to more than 30 patients at a time.

Concern over potential misuse may be one reason some clinicians have been reluctant to complete the training process. However, the study results showed misuse rates of other opioids, including oxycodone and hydrocodone, were higher than those reported for buprenorphine.

“Many other prescription opioids are misused at much higher rates,” co-investigator Wilson Compton, MD, MPE, deputy director of NIDA, told this news organization.

“While there are concerns about all of them, we want to make sure that people don’t exaggerate the concerns – and understanding that oxycodone and hydrocodone are so much more frequently misused is important,” added Dr. Compton.
 

Symptom of inadequate access?

Commenting on the research, Bobby Mukkamala, MD, chair of the American Medical Association Board of Trustees, said individuals who misuse buprenorphine “commonly do so to alleviate uncontrolled pain or symptoms of withdrawal.”

“So-called misuse of buprenorphine is a symptom of inadequate access to physicians to treat opioid use disorder,” said Dr. Mukkamala, who also chairs the AMA Substance Use and Pain Care Task Force.

A 2020 study from the U.S. Department of Health & Human Services showed 40% of U.S. counties have no clinicians with a federal waiver permitting them to prescribe buprenorphine in an office setting.

In April, the HHS released new practice guidelines that allow certain practitioners licensed under state law who have a valid Drug Enforcement Administration registration to treat up to 30 patients with buprenorphine without having to complete requirements related to training, counseling, and other ancillary services known as an “X-waiver.”

The move was welcomed by many in the field, but Dr. Mukkamala said the agency did not go far enough.

“The AMA supports removing the federal X-waiver requirement to help destigmatize the provision of buprenorphine as well as remove the many administrative barriers that come with the federal requirement,” he said.

The study was funded by the National Institute on Drug Abuse. The study authors have disclosed no relevant financial relationships.

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

Misuse of buprenorphine in the United States by patients with opioid use disorder (OUD) dropped sharply between 2015 and 2019, new research shows.

Analyses of data from the National Survey on Drug Use and Health also showed that about 50% of the patients with OUD were not receiving substance use treatment – and that some may be misusing buprenorphine in an effort to self-treat their addiction.

Interestingly, there was no association between buprenorphine misuse and income among those with OUD or with race, ethnicity, or insurance status regardless of OUD status, which bucks commonly held perceptions of those with the disorder.

Overall, the findings “underscore the need to pursue actions that expand access to buprenorphine-based OUD treatment, to develop strategies to monitor and reduce buprenorphine misuse, and to address associated conditions,” the investigators, led by Beth Han, MD, PhD, National Institute on Drug Abuse (NIDA), write.

The study was published online October 15 in JAMA Network Open.
 

Opioid deaths

Centers for Disease Control and Prevention data show more than 93,000 individuals in the United States died from a drug overdose in 2020, a 29.4% increase from the previous year. Of those deaths, 69,710 involved opioids.

Buprenorphine, a medication approved by the U.S. Food and Drug Administration to treat OUD, has been shown to reduce opioid cravings and withdrawal symptoms and lower overdose risk.

The new survey included responses from 214,505 adults. Of these, 51.7% were women, 45.5% were age 50 years or older, and 63.9% were non-Hispanic White.

Responses were collected between 2015-2019 as part of an annual survey administered annually by the Substance Abuse and Mental Health Services Administration.

Misuse was defined as any use outside the prescribed amount, frequency, duration, or indication.

In 2019, hydrocodone, oxycodone, codeine, and tramadol were the most misused prescription opioid products. An estimated 2.4 million adults used buprenorphine, with 1.7 million reporting no misuse in the past 12 months.

While buprenorphine misuse was stable between 2015 and 2019 among individuals without OUD, misuse declined significantly among those with OUD – from 20.5% in 2015 to 15.9% in 2019 (P = .04).
 

A different picture of misuse

The demographic data reveals a picture of buprenorphine misuse that researchers note is quite different from common perceptions about people with substance use.

Those with OUD who misused buprenorphine were more likely to be non-Hispanic White (82.9% vs. 73.6%, respectively) and less likely to live in large metropolitan areas (47.7% vs. 58.1%).

Among participants with OUD, buprenorphine misuse was significantly associated with age, especially in those between 24 and 34 years (adjusted odds ratio [aOR], 2.9; 95% confidence interval, 1.4-5.8) and between 35 and 49 years (aOR, 2.3; 95% CI, 1.2-4.5).

It was also significantly associated with living in nonmetropolitan areas (aOR, 1.8; 95% CI, 1.0-3.0) and having past-year polysubstance use and use disorders (aOR, 3.9; 95% CI, 1.3-11.2); but negatively associated with past-year treatment for illicit drug use–only treatment (aOR, 0.4; 95% CI, 0.3-0.7).

There was no significant association between buprenorphine misuse and income in participants with OUD or with race, ethnicity, or insurance status, regardless of OUD status.

“Perceptions that persons of racial and ethnic minority groups and people living in poverty are more likely to misuse their medication are incorrect,” the researchers write.

“Nevertheless, these factors have been found to be important factors associated with opioid harms and receipt of buprenorphine treatment,” they add.

Between 2015 and 2017, the largest increase in opioid-related drug overdose deaths was among Black people aged 25 to 34, and the largest increase involving synthetic opioids was among Hispanic individuals aged 45 to 54. At the same time, White people were more likely to receive buprenorphine treatment for OUD.
 

‘Don’t exaggerate concerns’

Among survey participants with OUD, 57% of those who had misused buprenorphine in the past year had received no substance use treatment. Among those with OUD who had not misused the drug in the past year, 49% had received no treatment for their addiction.

The most common reason for buprenorphine misuse cited by those with OUD was “because I am hooked” (27.3%), which researchers said suggests people may be taking buprenorphine without a prescription to self-treat their OUD.

The investigators note that although buprenorphine is inexpensive and effective, clinicians currently must receive a federal waiver to prescribe it to more than 30 patients at a time.

Concern over potential misuse may be one reason some clinicians have been reluctant to complete the training process. However, the study results showed misuse rates of other opioids, including oxycodone and hydrocodone, were higher than those reported for buprenorphine.

“Many other prescription opioids are misused at much higher rates,” co-investigator Wilson Compton, MD, MPE, deputy director of NIDA, told this news organization.

“While there are concerns about all of them, we want to make sure that people don’t exaggerate the concerns – and understanding that oxycodone and hydrocodone are so much more frequently misused is important,” added Dr. Compton.
 

Symptom of inadequate access?

Commenting on the research, Bobby Mukkamala, MD, chair of the American Medical Association Board of Trustees, said individuals who misuse buprenorphine “commonly do so to alleviate uncontrolled pain or symptoms of withdrawal.”

“So-called misuse of buprenorphine is a symptom of inadequate access to physicians to treat opioid use disorder,” said Dr. Mukkamala, who also chairs the AMA Substance Use and Pain Care Task Force.

A 2020 study from the U.S. Department of Health & Human Services showed 40% of U.S. counties have no clinicians with a federal waiver permitting them to prescribe buprenorphine in an office setting.

In April, the HHS released new practice guidelines that allow certain practitioners licensed under state law who have a valid Drug Enforcement Administration registration to treat up to 30 patients with buprenorphine without having to complete requirements related to training, counseling, and other ancillary services known as an “X-waiver.”

The move was welcomed by many in the field, but Dr. Mukkamala said the agency did not go far enough.

“The AMA supports removing the federal X-waiver requirement to help destigmatize the provision of buprenorphine as well as remove the many administrative barriers that come with the federal requirement,” he said.

The study was funded by the National Institute on Drug Abuse. The study authors have disclosed no relevant financial relationships.

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

Misuse of buprenorphine in the United States by patients with opioid use disorder (OUD) dropped sharply between 2015 and 2019, new research shows.

Analyses of data from the National Survey on Drug Use and Health also showed that about 50% of the patients with OUD were not receiving substance use treatment – and that some may be misusing buprenorphine in an effort to self-treat their addiction.

Interestingly, there was no association between buprenorphine misuse and income among those with OUD or with race, ethnicity, or insurance status regardless of OUD status, which bucks commonly held perceptions of those with the disorder.

Overall, the findings “underscore the need to pursue actions that expand access to buprenorphine-based OUD treatment, to develop strategies to monitor and reduce buprenorphine misuse, and to address associated conditions,” the investigators, led by Beth Han, MD, PhD, National Institute on Drug Abuse (NIDA), write.

The study was published online October 15 in JAMA Network Open.
 

Opioid deaths

Centers for Disease Control and Prevention data show more than 93,000 individuals in the United States died from a drug overdose in 2020, a 29.4% increase from the previous year. Of those deaths, 69,710 involved opioids.

Buprenorphine, a medication approved by the U.S. Food and Drug Administration to treat OUD, has been shown to reduce opioid cravings and withdrawal symptoms and lower overdose risk.

The new survey included responses from 214,505 adults. Of these, 51.7% were women, 45.5% were age 50 years or older, and 63.9% were non-Hispanic White.

Responses were collected between 2015-2019 as part of an annual survey administered annually by the Substance Abuse and Mental Health Services Administration.

Misuse was defined as any use outside the prescribed amount, frequency, duration, or indication.

In 2019, hydrocodone, oxycodone, codeine, and tramadol were the most misused prescription opioid products. An estimated 2.4 million adults used buprenorphine, with 1.7 million reporting no misuse in the past 12 months.

While buprenorphine misuse was stable between 2015 and 2019 among individuals without OUD, misuse declined significantly among those with OUD – from 20.5% in 2015 to 15.9% in 2019 (P = .04).
 

A different picture of misuse

The demographic data reveals a picture of buprenorphine misuse that researchers note is quite different from common perceptions about people with substance use.

Those with OUD who misused buprenorphine were more likely to be non-Hispanic White (82.9% vs. 73.6%, respectively) and less likely to live in large metropolitan areas (47.7% vs. 58.1%).

Among participants with OUD, buprenorphine misuse was significantly associated with age, especially in those between 24 and 34 years (adjusted odds ratio [aOR], 2.9; 95% confidence interval, 1.4-5.8) and between 35 and 49 years (aOR, 2.3; 95% CI, 1.2-4.5).

It was also significantly associated with living in nonmetropolitan areas (aOR, 1.8; 95% CI, 1.0-3.0) and having past-year polysubstance use and use disorders (aOR, 3.9; 95% CI, 1.3-11.2); but negatively associated with past-year treatment for illicit drug use–only treatment (aOR, 0.4; 95% CI, 0.3-0.7).

There was no significant association between buprenorphine misuse and income in participants with OUD or with race, ethnicity, or insurance status, regardless of OUD status.

“Perceptions that persons of racial and ethnic minority groups and people living in poverty are more likely to misuse their medication are incorrect,” the researchers write.

“Nevertheless, these factors have been found to be important factors associated with opioid harms and receipt of buprenorphine treatment,” they add.

Between 2015 and 2017, the largest increase in opioid-related drug overdose deaths was among Black people aged 25 to 34, and the largest increase involving synthetic opioids was among Hispanic individuals aged 45 to 54. At the same time, White people were more likely to receive buprenorphine treatment for OUD.
 

‘Don’t exaggerate concerns’

Among survey participants with OUD, 57% of those who had misused buprenorphine in the past year had received no substance use treatment. Among those with OUD who had not misused the drug in the past year, 49% had received no treatment for their addiction.

The most common reason for buprenorphine misuse cited by those with OUD was “because I am hooked” (27.3%), which researchers said suggests people may be taking buprenorphine without a prescription to self-treat their OUD.

The investigators note that although buprenorphine is inexpensive and effective, clinicians currently must receive a federal waiver to prescribe it to more than 30 patients at a time.

Concern over potential misuse may be one reason some clinicians have been reluctant to complete the training process. However, the study results showed misuse rates of other opioids, including oxycodone and hydrocodone, were higher than those reported for buprenorphine.

“Many other prescription opioids are misused at much higher rates,” co-investigator Wilson Compton, MD, MPE, deputy director of NIDA, told this news organization.

“While there are concerns about all of them, we want to make sure that people don’t exaggerate the concerns – and understanding that oxycodone and hydrocodone are so much more frequently misused is important,” added Dr. Compton.
 

Symptom of inadequate access?

Commenting on the research, Bobby Mukkamala, MD, chair of the American Medical Association Board of Trustees, said individuals who misuse buprenorphine “commonly do so to alleviate uncontrolled pain or symptoms of withdrawal.”

“So-called misuse of buprenorphine is a symptom of inadequate access to physicians to treat opioid use disorder,” said Dr. Mukkamala, who also chairs the AMA Substance Use and Pain Care Task Force.

A 2020 study from the U.S. Department of Health & Human Services showed 40% of U.S. counties have no clinicians with a federal waiver permitting them to prescribe buprenorphine in an office setting.

In April, the HHS released new practice guidelines that allow certain practitioners licensed under state law who have a valid Drug Enforcement Administration registration to treat up to 30 patients with buprenorphine without having to complete requirements related to training, counseling, and other ancillary services known as an “X-waiver.”

The move was welcomed by many in the field, but Dr. Mukkamala said the agency did not go far enough.

“The AMA supports removing the federal X-waiver requirement to help destigmatize the provision of buprenorphine as well as remove the many administrative barriers that come with the federal requirement,” he said.

The study was funded by the National Institute on Drug Abuse. The study authors have disclosed no relevant financial relationships.

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

An inpatient psychiatric diagnosis at some point over a lifetime is significantly associated with a range of sleep problems, results from the largest study of its kind show.

A prior diagnosis of major depression, schizophrenia, anxiety, or bipolar disorder was associated with a later bedtime, earlier waking time, and significantly poorer sleep quality that included frequent awakenings during the night and shorter sleep bouts.

“We were struck by the pervasiveness of sleep problems across all the diagnoses of mental illness and sleep parameters we looked at,” study investigator Michael Wainberg, PhD, a postdoctoral fellow at the Krembil Centre for Neuroinformatics at the Center for Addiction and Mental Health (CAMH), Toronto, told this news organization. “This suggests there may need to be even more of an emphasis on sleep in these patients than there already is.”

The study, which includes data from nearly 90,000 adults in the United Kingdom, was published online October 12 in PLoS Medicine.

Wavebreak Media/Thinkstockphotos

Trove of data

Data for the analysis comes from the UK Biobank, a large-scale biomedical database launched in 2006 that has collected biological and medical data on more than 500,000 individuals who consented to provide blood, urine, and saliva samples and detailed lifestyle information that is matched to their medical records.

Between 2013 and 2015, more than 103,000 of these participants agreed to wear accelerometers on their wrists for 24 hours a day for 7 days, collecting a trove of data for researchers to mine.

“This allows us to get at objectively derived sleep measures and to measure them in greater numbers of people who have experienced mental illness,” said senior author Shreejoy Tripathy, PhD, assistant professor at the University of Toronto and independent scientist for CAMH. “You can study multiple disorders at once and the influence of other variables that might not be possible in the context of other studies.”

The research is the first known large-scale transdiagnostic study of objectively measured sleep and mental health. Insomnia and other sleep disorders are common among people with mental illness, as shown in prior research, including at least one study that used the same dataset the team employed for this project.

The new findings add to that body of work, Dr. Wainberg said, and look beyond just how long a person sleeps to the quality of the sleep they get.

“We found that the metrics of sleep quality seem to be affected more than mere sleep duration,” he said.
 

Unexpected finding

After excluding participants with faulty accelerometers and those who didn’t wear them for the entire 7-day study period, data from 89,205 participants (aged 43-79, 56% female, 97% self-reported White) was included. Lifetime inpatient psychiatric diagnoses were reported in 2.5% of the entire cohort.

Researchers looked at 10 sleep measures: bedtime, wake-up time, sleep duration, wake after sleep onset, sleep efficiency, number of awakenings, duration of longest sleep bout, number of naps, and variability in bedtime and sleep duration.

Although the effect sizes were small, having any psychiatric diagnosis was associated with significantly lower scores on every sleep measure except sleep duration.

Compared with those with no inpatient psychiatric diagnosis, those with any psychiatric diagnosis were significantly more likely to:

• have a later bedtime (beta = 0.07; 95% confidence interval, 0.06-0.09)
• have later wake-up time (beta = 0.10; 95% CI, 0.09-0.11)
• wake after sleep onset (beta = 0.10; 95% CI, 0.09-0.12)
• have poorer sleep efficiency (beta = –0.12; 95% CI, −0.14 to −0.11)
• have more awakenings (beta = 0.10; 95% CI, 0.09-0.11)
• have shorter duration of their longest sleep bout (beta = –0.09; 95% CI, −0.11 to −0.08)
• take more naps (beta = 0.11; 95% CI, 0.09-0.12)
• have greater variability in their bedtime (beta = 0.08; 95% CI, 0.06-0.09)
• have greater variability in their sleep duration (beta = 0.10; 95% CI, 0.09-0.12)

The only significant differences in sleep duration were found in those with lifetime major depressive disorder, who slept significantly less (beta = −0.02; P = .003), and in those with lifetime schizophrenia, who slept significantly longer (beta = 0.02; P = .0008).

Researchers found similar results when they examined patient-reported sleep measures collected when participants enrolled in the biobank, long before they agreed to wear an accelerometer.

“Everyone with a lifetime mental illness diagnosis trended toward worse sleep quality, regardless of their diagnosis,” Dr. Tripathy said. “We didn’t expect to see that.”

Limitations of the biobank data prohibited analysis by age and past or current use of psychiatric medications. In addition, investigators were unable to determine whether mental illness was active or controlled at the time of the study. Information on these, and other factors, is needed to truly begin to understand the real-world status of sleep patterns in people with mental illness, the researchers note.

However, the biobank data demonstrates how this type of information can be collected, helping Dr. Tripathy and others to design a new study that will launch next year with patients at CAMH. This effort is part of the BrainHealth Databank, a project that aims to develop a patient data bank similar to the one in the UK that was used for this study.

“We’ve shown that you can use wearable devices to measure correlates of sleep and derive insights about the objective measurements of sleep and associate them with mental illness diagnosis,” Dr. Tripathy said.

The study received no outside funding. Dr. Wainberg and Dr. Tripathy report receiving funding from Kavli Foundation, Krembil Foundation, CAMH Discovery Fund, the McLaughlin Foundation, NSERC, and CIHR. Disclosures for other authors are fully listed in the original article.

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

An inpatient psychiatric diagnosis at some point over a lifetime is significantly associated with a range of sleep problems, results from the largest study of its kind show.

A prior diagnosis of major depression, schizophrenia, anxiety, or bipolar disorder was associated with a later bedtime, earlier waking time, and significantly poorer sleep quality that included frequent awakenings during the night and shorter sleep bouts.

“We were struck by the pervasiveness of sleep problems across all the diagnoses of mental illness and sleep parameters we looked at,” study investigator Michael Wainberg, PhD, a postdoctoral fellow at the Krembil Centre for Neuroinformatics at the Center for Addiction and Mental Health (CAMH), Toronto, told this news organization. “This suggests there may need to be even more of an emphasis on sleep in these patients than there already is.”

The study, which includes data from nearly 90,000 adults in the United Kingdom, was published online October 12 in PLoS Medicine.

Wavebreak Media/Thinkstockphotos

Trove of data

Data for the analysis comes from the UK Biobank, a large-scale biomedical database launched in 2006 that has collected biological and medical data on more than 500,000 individuals who consented to provide blood, urine, and saliva samples and detailed lifestyle information that is matched to their medical records.

Between 2013 and 2015, more than 103,000 of these participants agreed to wear accelerometers on their wrists for 24 hours a day for 7 days, collecting a trove of data for researchers to mine.

“This allows us to get at objectively derived sleep measures and to measure them in greater numbers of people who have experienced mental illness,” said senior author Shreejoy Tripathy, PhD, assistant professor at the University of Toronto and independent scientist for CAMH. “You can study multiple disorders at once and the influence of other variables that might not be possible in the context of other studies.”

The research is the first known large-scale transdiagnostic study of objectively measured sleep and mental health. Insomnia and other sleep disorders are common among people with mental illness, as shown in prior research, including at least one study that used the same dataset the team employed for this project.

The new findings add to that body of work, Dr. Wainberg said, and look beyond just how long a person sleeps to the quality of the sleep they get.

“We found that the metrics of sleep quality seem to be affected more than mere sleep duration,” he said.
 

Unexpected finding

After excluding participants with faulty accelerometers and those who didn’t wear them for the entire 7-day study period, data from 89,205 participants (aged 43-79, 56% female, 97% self-reported White) was included. Lifetime inpatient psychiatric diagnoses were reported in 2.5% of the entire cohort.

Researchers looked at 10 sleep measures: bedtime, wake-up time, sleep duration, wake after sleep onset, sleep efficiency, number of awakenings, duration of longest sleep bout, number of naps, and variability in bedtime and sleep duration.

Although the effect sizes were small, having any psychiatric diagnosis was associated with significantly lower scores on every sleep measure except sleep duration.

Compared with those with no inpatient psychiatric diagnosis, those with any psychiatric diagnosis were significantly more likely to:

• have a later bedtime (beta = 0.07; 95% confidence interval, 0.06-0.09)
• have later wake-up time (beta = 0.10; 95% CI, 0.09-0.11)
• wake after sleep onset (beta = 0.10; 95% CI, 0.09-0.12)
• have poorer sleep efficiency (beta = –0.12; 95% CI, −0.14 to −0.11)
• have more awakenings (beta = 0.10; 95% CI, 0.09-0.11)
• have shorter duration of their longest sleep bout (beta = –0.09; 95% CI, −0.11 to −0.08)
• take more naps (beta = 0.11; 95% CI, 0.09-0.12)
• have greater variability in their bedtime (beta = 0.08; 95% CI, 0.06-0.09)
• have greater variability in their sleep duration (beta = 0.10; 95% CI, 0.09-0.12)

The only significant differences in sleep duration were found in those with lifetime major depressive disorder, who slept significantly less (beta = −0.02; P = .003), and in those with lifetime schizophrenia, who slept significantly longer (beta = 0.02; P = .0008).

Researchers found similar results when they examined patient-reported sleep measures collected when participants enrolled in the biobank, long before they agreed to wear an accelerometer.

“Everyone with a lifetime mental illness diagnosis trended toward worse sleep quality, regardless of their diagnosis,” Dr. Tripathy said. “We didn’t expect to see that.”

Limitations of the biobank data prohibited analysis by age and past or current use of psychiatric medications. In addition, investigators were unable to determine whether mental illness was active or controlled at the time of the study. Information on these, and other factors, is needed to truly begin to understand the real-world status of sleep patterns in people with mental illness, the researchers note.

However, the biobank data demonstrates how this type of information can be collected, helping Dr. Tripathy and others to design a new study that will launch next year with patients at CAMH. This effort is part of the BrainHealth Databank, a project that aims to develop a patient data bank similar to the one in the UK that was used for this study.

“We’ve shown that you can use wearable devices to measure correlates of sleep and derive insights about the objective measurements of sleep and associate them with mental illness diagnosis,” Dr. Tripathy said.

The study received no outside funding. Dr. Wainberg and Dr. Tripathy report receiving funding from Kavli Foundation, Krembil Foundation, CAMH Discovery Fund, the McLaughlin Foundation, NSERC, and CIHR. Disclosures for other authors are fully listed in the original article.

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

An inpatient psychiatric diagnosis at some point over a lifetime is significantly associated with a range of sleep problems, results from the largest study of its kind show.

A prior diagnosis of major depression, schizophrenia, anxiety, or bipolar disorder was associated with a later bedtime, earlier waking time, and significantly poorer sleep quality that included frequent awakenings during the night and shorter sleep bouts.

“We were struck by the pervasiveness of sleep problems across all the diagnoses of mental illness and sleep parameters we looked at,” study investigator Michael Wainberg, PhD, a postdoctoral fellow at the Krembil Centre for Neuroinformatics at the Center for Addiction and Mental Health (CAMH), Toronto, told this news organization. “This suggests there may need to be even more of an emphasis on sleep in these patients than there already is.”

The study, which includes data from nearly 90,000 adults in the United Kingdom, was published online October 12 in PLoS Medicine.

Wavebreak Media/Thinkstockphotos

Trove of data

Data for the analysis comes from the UK Biobank, a large-scale biomedical database launched in 2006 that has collected biological and medical data on more than 500,000 individuals who consented to provide blood, urine, and saliva samples and detailed lifestyle information that is matched to their medical records.

Between 2013 and 2015, more than 103,000 of these participants agreed to wear accelerometers on their wrists for 24 hours a day for 7 days, collecting a trove of data for researchers to mine.

“This allows us to get at objectively derived sleep measures and to measure them in greater numbers of people who have experienced mental illness,” said senior author Shreejoy Tripathy, PhD, assistant professor at the University of Toronto and independent scientist for CAMH. “You can study multiple disorders at once and the influence of other variables that might not be possible in the context of other studies.”

The research is the first known large-scale transdiagnostic study of objectively measured sleep and mental health. Insomnia and other sleep disorders are common among people with mental illness, as shown in prior research, including at least one study that used the same dataset the team employed for this project.

The new findings add to that body of work, Dr. Wainberg said, and look beyond just how long a person sleeps to the quality of the sleep they get.

“We found that the metrics of sleep quality seem to be affected more than mere sleep duration,” he said.
 

Unexpected finding

After excluding participants with faulty accelerometers and those who didn’t wear them for the entire 7-day study period, data from 89,205 participants (aged 43-79, 56% female, 97% self-reported White) was included. Lifetime inpatient psychiatric diagnoses were reported in 2.5% of the entire cohort.

Researchers looked at 10 sleep measures: bedtime, wake-up time, sleep duration, wake after sleep onset, sleep efficiency, number of awakenings, duration of longest sleep bout, number of naps, and variability in bedtime and sleep duration.

Although the effect sizes were small, having any psychiatric diagnosis was associated with significantly lower scores on every sleep measure except sleep duration.

Compared with those with no inpatient psychiatric diagnosis, those with any psychiatric diagnosis were significantly more likely to:

• have a later bedtime (beta = 0.07; 95% confidence interval, 0.06-0.09)
• have later wake-up time (beta = 0.10; 95% CI, 0.09-0.11)
• wake after sleep onset (beta = 0.10; 95% CI, 0.09-0.12)
• have poorer sleep efficiency (beta = –0.12; 95% CI, −0.14 to −0.11)
• have more awakenings (beta = 0.10; 95% CI, 0.09-0.11)
• have shorter duration of their longest sleep bout (beta = –0.09; 95% CI, −0.11 to −0.08)
• take more naps (beta = 0.11; 95% CI, 0.09-0.12)
• have greater variability in their bedtime (beta = 0.08; 95% CI, 0.06-0.09)
• have greater variability in their sleep duration (beta = 0.10; 95% CI, 0.09-0.12)

The only significant differences in sleep duration were found in those with lifetime major depressive disorder, who slept significantly less (beta = −0.02; P = .003), and in those with lifetime schizophrenia, who slept significantly longer (beta = 0.02; P = .0008).

Researchers found similar results when they examined patient-reported sleep measures collected when participants enrolled in the biobank, long before they agreed to wear an accelerometer.

“Everyone with a lifetime mental illness diagnosis trended toward worse sleep quality, regardless of their diagnosis,” Dr. Tripathy said. “We didn’t expect to see that.”

Limitations of the biobank data prohibited analysis by age and past or current use of psychiatric medications. In addition, investigators were unable to determine whether mental illness was active or controlled at the time of the study. Information on these, and other factors, is needed to truly begin to understand the real-world status of sleep patterns in people with mental illness, the researchers note.

However, the biobank data demonstrates how this type of information can be collected, helping Dr. Tripathy and others to design a new study that will launch next year with patients at CAMH. This effort is part of the BrainHealth Databank, a project that aims to develop a patient data bank similar to the one in the UK that was used for this study.

“We’ve shown that you can use wearable devices to measure correlates of sleep and derive insights about the objective measurements of sleep and associate them with mental illness diagnosis,” Dr. Tripathy said.

The study received no outside funding. Dr. Wainberg and Dr. Tripathy report receiving funding from Kavli Foundation, Krembil Foundation, CAMH Discovery Fund, the McLaughlin Foundation, NSERC, and CIHR. Disclosures for other authors are fully listed in the original article.

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

A new position statement from the American Academy of Neurology and other organizations warns that soaring prices for neurologic and other prescription medications is leading to rationing of care and diverting clinicians’ time from the clinic to insurance bureaucracy.

This situation is also taking a toll on neurologists’ mental health, who already have the second-highest burnout rate across medical specialties, the statement adds.

The statement was published online Oct. 5, 2021, in Neurology.
 

Dramatic price increases

Drafted by the Ethics, Law, and Humanities Committee – a joint committee that includes the AAN, the American Neurological Association, and the Child Neurology Society – the statement was prompted by a 2018 report from the AAN Neurology Drug Pricing Task Force to address challenges associated with high drug costs.

It highlights ethical concerns from high drug costs, policy proposals that might temper the problem, and how clinicians can adjust to the current reality of pharmaceutical pricing and better advocate for changes to the healthcare system.

“Runaway drug costs continue to be a pressing problem with recent dramatic price increases not only for specialty drugs, but also generic ones,” said lead author Amy Tsou, MD, MSc, codirector of the ECRI Evidence-Based Practice Center at the Center for Evidence and Guidelines in Plymouth Meeting, Pa.

She noted that one in four Americans has difficulty paying for medication, and many report going without a medication because of cost.

“Ensuring a fair system for drug pricing and coverage rules that balance the goods of individual patients with the needs of broader populations when resources are limited remains more important than ever,” Dr. Tsou said.

Out-of-pocket costs for neurologic medications have risen dramatically over the past decade, with the fastest rise reported among drugs for multiple sclerosis. Results from a study published in 2019 showed that, between 2004 and 2016, patients’ out-of-pocket expenses skyrocketed from $15 a month to $309 a month.

The steep increases have forced some neurology patients to ration their medication or stop taking it altogether, which is one of the ethical concerns cited in the AAN statement.
 

Patient self-rationing

Commenting on the statement, Ilana Katz Sand, MD, associate director of the Dickinson Center for Multiple Sclerosis at Mount Sinai Medical Center, New York, noted that clinicians are already acutely aware of the effect high drug costs have on their patients’ medical decisions. However, statements such as the current one bring much-needed outside attention to the problem.

“I’ve definitely had more and more people struggling with deductibles and copays, even among people who are insured,” said Dr. Katz Sand, who was not involved with the AAN paper.

She has a number of patients who have rationed their medication or stopped taking it altogether when their copays increased or they lost access to a copay assistance program because their insurance company chose to cover a still-expensive generic drug with no assistance program over a slightly costlier brand-name medication that comes with patient discounts.

Too often, patients don’t tell her they’re not taking their medication as prescribed. At a recent appointment, Dr. Katz Sand learned about a patient’s drug rationing only after a routine MRI showed new brain lesions that regular treatment might have prevented.

Another patient, new to her clinic, questioned the treatment plan Dr. Katz Sand recommended because they could not cover the copay. This sort of self-rationing happens in patients with and without insurance, she added.

“It’s a terrible thing and it’s happening to all patients,” Dr. Katz Sand said, adding that “the old credo of ‘yeah, the drug prices are high, but they are covered by insurance’ is not a sustainable argument anymore.”
 

What neurologists can do

Some sort of rationing is an unavoidable outcome of steep treatment costs, the authors noted. But what does that mean in clinical practice?

Neurologists should be aware of the costs involved in ordering diagnostic tests, treatment, or medication – and shouldn’t feel compelled to order treatments or tests that they feel are medically inappropriate just because a patient requests them, the authors wrote.

The statement also encourages clinicians to include financial realities in the shared decision-making process with patients.

However, Dr. Katz Sand said that is not always possible. Drug prices aren’t fixed, with different insurance plans offering different pricing, deductibles, and copays. “It’s hard for us to attempt to incorporate discussions about price in our discussions with patients when we can’t even predict what their out-of-pocket cost is going to be,” she said.

“Every single prescription we write requires prior authorization, and that’s directly related to the fact that the cost of these drugs is so high,” she added.

As do many other clinicians, Dr. Katz Sand spends hours each week on preauthorization forms and haggling with insurance companies on behalf of her patients. To get needed medication at a cost they can afford sometimes takes creative problem solving and almost always takes a lot of time. “It all adds to the administrative burden, patients’ stress, and our stress,” she said.
 

Physician-advocates needed

The AAN paper identifies a number of policy reforms to address drug pricing at a national level, including giving Medicare officials the power to negotiate drug prices, allowing the safe importation of drugs from other countries, and speeding the Food and Drug Administration approval process for generic drugs.

There is also a need to address systemic problems that, the authors noted, help create and perpetuate health care disparities. Lawmakers at the state and federal level are considering a number of these policy ideas and others that could address the kinds of issues Dr. Katz Sand described. However, the chances of their success are slim at best, said Bruce H. Cohen, MD, chair of the AAN advocacy committee and director of the NeuroDevelopmental Science Center at Akron (Ohio) Children’s Hospital.

“On a federal level, we’re watching in real time how the entrenched divisions, even within parties, are resulting in continued stalemate,” said Dr. Cohen, who is not one of the statement authors.

Those ideas need advocates and the AAN paper suggests neurologists should be among the ones championing these changes, he added.

“One of the most effective strategies is to bring attention to the impact high drug costs have on neurology patients and medical practices,” Dr. Cohen said. “It’s so important to make sure policy makers know the significant impact of high drug costs in neurology and within the context of finite resources.”

One way to do that is to share statements such as the current one with members of Congress working on policy reform, Dr. Cohen said. Another is through programs such as the academy’s annual Neurology on the Hill conference.

A third strategy is to encourage individuals such as Dr. Katz Sand to speak out when and where they can, he added.

While she agrees with the idea, finding time for advocacy work amid patient care, administrative work, and research is challenging. Dr. Katz Sand would like to see groups like the AAN work with health care institutions to implement policies that allocate time and resources to train clinicians in advocacy – and then support their efforts on that front.

“I’m really glad they wrote this and think they did a good job of crystallizing the issues,” Dr. Katz Sand said. “It’s good to put it out there as a document that could help serve as the basis for the requests we make collectively. I just hope that people listen.”

The paper received no funding. The authors disclosed no relevant financial relationships.

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

A new position statement from the American Academy of Neurology and other organizations warns that soaring prices for neurologic and other prescription medications is leading to rationing of care and diverting clinicians’ time from the clinic to insurance bureaucracy.

This situation is also taking a toll on neurologists’ mental health, who already have the second-highest burnout rate across medical specialties, the statement adds.

The statement was published online Oct. 5, 2021, in Neurology.
 

Dramatic price increases

Drafted by the Ethics, Law, and Humanities Committee – a joint committee that includes the AAN, the American Neurological Association, and the Child Neurology Society – the statement was prompted by a 2018 report from the AAN Neurology Drug Pricing Task Force to address challenges associated with high drug costs.

It highlights ethical concerns from high drug costs, policy proposals that might temper the problem, and how clinicians can adjust to the current reality of pharmaceutical pricing and better advocate for changes to the healthcare system.

“Runaway drug costs continue to be a pressing problem with recent dramatic price increases not only for specialty drugs, but also generic ones,” said lead author Amy Tsou, MD, MSc, codirector of the ECRI Evidence-Based Practice Center at the Center for Evidence and Guidelines in Plymouth Meeting, Pa.

She noted that one in four Americans has difficulty paying for medication, and many report going without a medication because of cost.

“Ensuring a fair system for drug pricing and coverage rules that balance the goods of individual patients with the needs of broader populations when resources are limited remains more important than ever,” Dr. Tsou said.

Out-of-pocket costs for neurologic medications have risen dramatically over the past decade, with the fastest rise reported among drugs for multiple sclerosis. Results from a study published in 2019 showed that, between 2004 and 2016, patients’ out-of-pocket expenses skyrocketed from $15 a month to $309 a month.

The steep increases have forced some neurology patients to ration their medication or stop taking it altogether, which is one of the ethical concerns cited in the AAN statement.
 

Patient self-rationing

Commenting on the statement, Ilana Katz Sand, MD, associate director of the Dickinson Center for Multiple Sclerosis at Mount Sinai Medical Center, New York, noted that clinicians are already acutely aware of the effect high drug costs have on their patients’ medical decisions. However, statements such as the current one bring much-needed outside attention to the problem.

“I’ve definitely had more and more people struggling with deductibles and copays, even among people who are insured,” said Dr. Katz Sand, who was not involved with the AAN paper.

She has a number of patients who have rationed their medication or stopped taking it altogether when their copays increased or they lost access to a copay assistance program because their insurance company chose to cover a still-expensive generic drug with no assistance program over a slightly costlier brand-name medication that comes with patient discounts.

Too often, patients don’t tell her they’re not taking their medication as prescribed. At a recent appointment, Dr. Katz Sand learned about a patient’s drug rationing only after a routine MRI showed new brain lesions that regular treatment might have prevented.

Another patient, new to her clinic, questioned the treatment plan Dr. Katz Sand recommended because they could not cover the copay. This sort of self-rationing happens in patients with and without insurance, she added.

“It’s a terrible thing and it’s happening to all patients,” Dr. Katz Sand said, adding that “the old credo of ‘yeah, the drug prices are high, but they are covered by insurance’ is not a sustainable argument anymore.”
 

What neurologists can do

Some sort of rationing is an unavoidable outcome of steep treatment costs, the authors noted. But what does that mean in clinical practice?

Neurologists should be aware of the costs involved in ordering diagnostic tests, treatment, or medication – and shouldn’t feel compelled to order treatments or tests that they feel are medically inappropriate just because a patient requests them, the authors wrote.

The statement also encourages clinicians to include financial realities in the shared decision-making process with patients.

However, Dr. Katz Sand said that is not always possible. Drug prices aren’t fixed, with different insurance plans offering different pricing, deductibles, and copays. “It’s hard for us to attempt to incorporate discussions about price in our discussions with patients when we can’t even predict what their out-of-pocket cost is going to be,” she said.

“Every single prescription we write requires prior authorization, and that’s directly related to the fact that the cost of these drugs is so high,” she added.

As do many other clinicians, Dr. Katz Sand spends hours each week on preauthorization forms and haggling with insurance companies on behalf of her patients. To get needed medication at a cost they can afford sometimes takes creative problem solving and almost always takes a lot of time. “It all adds to the administrative burden, patients’ stress, and our stress,” she said.
 

Physician-advocates needed

The AAN paper identifies a number of policy reforms to address drug pricing at a national level, including giving Medicare officials the power to negotiate drug prices, allowing the safe importation of drugs from other countries, and speeding the Food and Drug Administration approval process for generic drugs.

There is also a need to address systemic problems that, the authors noted, help create and perpetuate health care disparities. Lawmakers at the state and federal level are considering a number of these policy ideas and others that could address the kinds of issues Dr. Katz Sand described. However, the chances of their success are slim at best, said Bruce H. Cohen, MD, chair of the AAN advocacy committee and director of the NeuroDevelopmental Science Center at Akron (Ohio) Children’s Hospital.

“On a federal level, we’re watching in real time how the entrenched divisions, even within parties, are resulting in continued stalemate,” said Dr. Cohen, who is not one of the statement authors.

Those ideas need advocates and the AAN paper suggests neurologists should be among the ones championing these changes, he added.

“One of the most effective strategies is to bring attention to the impact high drug costs have on neurology patients and medical practices,” Dr. Cohen said. “It’s so important to make sure policy makers know the significant impact of high drug costs in neurology and within the context of finite resources.”

One way to do that is to share statements such as the current one with members of Congress working on policy reform, Dr. Cohen said. Another is through programs such as the academy’s annual Neurology on the Hill conference.

A third strategy is to encourage individuals such as Dr. Katz Sand to speak out when and where they can, he added.

While she agrees with the idea, finding time for advocacy work amid patient care, administrative work, and research is challenging. Dr. Katz Sand would like to see groups like the AAN work with health care institutions to implement policies that allocate time and resources to train clinicians in advocacy – and then support their efforts on that front.

“I’m really glad they wrote this and think they did a good job of crystallizing the issues,” Dr. Katz Sand said. “It’s good to put it out there as a document that could help serve as the basis for the requests we make collectively. I just hope that people listen.”

The paper received no funding. The authors disclosed no relevant financial relationships.

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

A new position statement from the American Academy of Neurology and other organizations warns that soaring prices for neurologic and other prescription medications is leading to rationing of care and diverting clinicians’ time from the clinic to insurance bureaucracy.

This situation is also taking a toll on neurologists’ mental health, who already have the second-highest burnout rate across medical specialties, the statement adds.

The statement was published online Oct. 5, 2021, in Neurology.
 

Dramatic price increases

Drafted by the Ethics, Law, and Humanities Committee – a joint committee that includes the AAN, the American Neurological Association, and the Child Neurology Society – the statement was prompted by a 2018 report from the AAN Neurology Drug Pricing Task Force to address challenges associated with high drug costs.

It highlights ethical concerns from high drug costs, policy proposals that might temper the problem, and how clinicians can adjust to the current reality of pharmaceutical pricing and better advocate for changes to the healthcare system.

“Runaway drug costs continue to be a pressing problem with recent dramatic price increases not only for specialty drugs, but also generic ones,” said lead author Amy Tsou, MD, MSc, codirector of the ECRI Evidence-Based Practice Center at the Center for Evidence and Guidelines in Plymouth Meeting, Pa.

She noted that one in four Americans has difficulty paying for medication, and many report going without a medication because of cost.

“Ensuring a fair system for drug pricing and coverage rules that balance the goods of individual patients with the needs of broader populations when resources are limited remains more important than ever,” Dr. Tsou said.

Out-of-pocket costs for neurologic medications have risen dramatically over the past decade, with the fastest rise reported among drugs for multiple sclerosis. Results from a study published in 2019 showed that, between 2004 and 2016, patients’ out-of-pocket expenses skyrocketed from $15 a month to $309 a month.

The steep increases have forced some neurology patients to ration their medication or stop taking it altogether, which is one of the ethical concerns cited in the AAN statement.
 

Patient self-rationing

Commenting on the statement, Ilana Katz Sand, MD, associate director of the Dickinson Center for Multiple Sclerosis at Mount Sinai Medical Center, New York, noted that clinicians are already acutely aware of the effect high drug costs have on their patients’ medical decisions. However, statements such as the current one bring much-needed outside attention to the problem.

“I’ve definitely had more and more people struggling with deductibles and copays, even among people who are insured,” said Dr. Katz Sand, who was not involved with the AAN paper.

She has a number of patients who have rationed their medication or stopped taking it altogether when their copays increased or they lost access to a copay assistance program because their insurance company chose to cover a still-expensive generic drug with no assistance program over a slightly costlier brand-name medication that comes with patient discounts.

Too often, patients don’t tell her they’re not taking their medication as prescribed. At a recent appointment, Dr. Katz Sand learned about a patient’s drug rationing only after a routine MRI showed new brain lesions that regular treatment might have prevented.

Another patient, new to her clinic, questioned the treatment plan Dr. Katz Sand recommended because they could not cover the copay. This sort of self-rationing happens in patients with and without insurance, she added.

“It’s a terrible thing and it’s happening to all patients,” Dr. Katz Sand said, adding that “the old credo of ‘yeah, the drug prices are high, but they are covered by insurance’ is not a sustainable argument anymore.”
 

What neurologists can do

Some sort of rationing is an unavoidable outcome of steep treatment costs, the authors noted. But what does that mean in clinical practice?

Neurologists should be aware of the costs involved in ordering diagnostic tests, treatment, or medication – and shouldn’t feel compelled to order treatments or tests that they feel are medically inappropriate just because a patient requests them, the authors wrote.

The statement also encourages clinicians to include financial realities in the shared decision-making process with patients.

However, Dr. Katz Sand said that is not always possible. Drug prices aren’t fixed, with different insurance plans offering different pricing, deductibles, and copays. “It’s hard for us to attempt to incorporate discussions about price in our discussions with patients when we can’t even predict what their out-of-pocket cost is going to be,” she said.

“Every single prescription we write requires prior authorization, and that’s directly related to the fact that the cost of these drugs is so high,” she added.

As do many other clinicians, Dr. Katz Sand spends hours each week on preauthorization forms and haggling with insurance companies on behalf of her patients. To get needed medication at a cost they can afford sometimes takes creative problem solving and almost always takes a lot of time. “It all adds to the administrative burden, patients’ stress, and our stress,” she said.
 

Physician-advocates needed

The AAN paper identifies a number of policy reforms to address drug pricing at a national level, including giving Medicare officials the power to negotiate drug prices, allowing the safe importation of drugs from other countries, and speeding the Food and Drug Administration approval process for generic drugs.

There is also a need to address systemic problems that, the authors noted, help create and perpetuate health care disparities. Lawmakers at the state and federal level are considering a number of these policy ideas and others that could address the kinds of issues Dr. Katz Sand described. However, the chances of their success are slim at best, said Bruce H. Cohen, MD, chair of the AAN advocacy committee and director of the NeuroDevelopmental Science Center at Akron (Ohio) Children’s Hospital.

“On a federal level, we’re watching in real time how the entrenched divisions, even within parties, are resulting in continued stalemate,” said Dr. Cohen, who is not one of the statement authors.

Those ideas need advocates and the AAN paper suggests neurologists should be among the ones championing these changes, he added.

“One of the most effective strategies is to bring attention to the impact high drug costs have on neurology patients and medical practices,” Dr. Cohen said. “It’s so important to make sure policy makers know the significant impact of high drug costs in neurology and within the context of finite resources.”

One way to do that is to share statements such as the current one with members of Congress working on policy reform, Dr. Cohen said. Another is through programs such as the academy’s annual Neurology on the Hill conference.

A third strategy is to encourage individuals such as Dr. Katz Sand to speak out when and where they can, he added.

While she agrees with the idea, finding time for advocacy work amid patient care, administrative work, and research is challenging. Dr. Katz Sand would like to see groups like the AAN work with health care institutions to implement policies that allocate time and resources to train clinicians in advocacy – and then support their efforts on that front.

“I’m really glad they wrote this and think they did a good job of crystallizing the issues,” Dr. Katz Sand said. “It’s good to put it out there as a document that could help serve as the basis for the requests we make collectively. I just hope that people listen.”

The paper received no funding. The authors disclosed no relevant financial relationships.

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