MDedge Neurology

The long-term impact of traumatic brain injury (TBI) on neurologic and psychiatric function is well-established, but a growing body of research is pointing to unexpected medical sequalae, including cardiovascular disease (CVD).

A recent review looked at the investigation to date into this surprising connection, not only summarizing study findings but also suggesting potential mechanisms that might account for the association.

“This work offers further evidence that individuals with TBI are at an elevated risk of unfavorable cardiovascular outcomes for an extended period following the initial incident; consequently, they should undergo regular monitoring,” senior author Ross Zafonte, DO, president of Spaulding Rehabilitation Network, Boston, and lead author Saef Izzy, MD, MBChB, a neurologist at the Stroke and Cerebrovascular Center of Brigham and Women’s Hospital, Boston, Massachusetts, told this news organization.

“This holds significant importance for healthcare practitioners, as there exist several strategies to mitigate cardiovascular disease risk — including weight management, adopting a healthy diet, engaging in regular physical activity, and quitting smoking,” they stated.

Leslie Croll, MD, American Heart Association volunteer and assistant professor of clinical neurology at the Temple University Lewis Katz School of Medicine, Philadelphia, Pennsylvania, told this news organization that it’s “extremely important to learn more about the interplay between TBI, neurologic disease, psychiatric complications, and the cardiovascular system.”

Hopefully, she added, “future research will help us understand what kind of cardiovascular disease monitoring and prevention measures stand to give TBI patients the most benefit.”
 

Chronic Condition

TBI is “a major cause of long-term disability and premature death,” and is “highly prevalent among contact sports players, military personnel (eg, due to injuries sustained during conflict), and the general population (eg, due to falls and road traffic incidents),” the authors wrote.

Most studies pertaining to TBI have “primarily focused on establishing connections between single TBI, repetitive TBI, and their acute and chronic neurological and psychiatric consequences, such as Parkinson’s disease, Alzheimer’s disease, and chronic traumatic encephalopathy (CTE),” Drs. Zafonte and Izzy noted. By contrast, there has been a “notable lack of research attention given to non-neurological conditions associated with TBI.”

They pointed out that recent insights into TBI — particularly the acknowledgment of TBI as an “emerging chronic condition rather than merely an acute aftermath of brain injury” — have come to light through epidemiologic and pathologic investigations involving military veterans, professional American-style football players, and the civilian population. “This recognition opens up an opportunity to broaden our perspective and delve into the medical aspects of health that may be influenced by TBI.”

To broaden the investigation, the researchers reviewed literature published between January 1, 2001, and June 18, 2023. Of 26,335 articles, they narrowed their review down to 15 studies that investigated CVD, CVD risk factors, and cerebrovascular disease in the chronic phase of TBI, including community, military, or sport-related brain trauma, regardless of the timing of disease occurrence with respect to brain injury via TBI or repetitive head impact.
 

New Cardiovascular Risk

Studies that used national or local registries tended to be retrospective and predominantly conducted in people with preexisting cardiovascular conditions. In these studies, TBI was found to be an independent risk factor for myocardial dysfunction. However, although these studies do provide evidence of elevated cardiovascular risk subsequent to a single TBI, including individuals with preexisting medical comorbidities “makes it difficult to determine the timing of incident cardiovascular disease and cardiovascular risk factors subsequent to brain injury,” they wrote.

However, some studies showed that even individuals with TBI but without preexisting myocardial dysfunction at baseline had a significantly higher risk for CVD than those without a history of TBI.

In fact, several studies included populations without preexisting medical and cardiovascular comorbidities to “better refine the order and timing of CVD and other risk factors in individuals with TBI.”

For example, one study of concussion survivors without preexisting diagnoses showed that cardiovascular, endocrinological, and neuropsychiatric comorbidities occurred at a “significantly higher incidence within 5 years after concussive TBI compared with healthy individuals who were matched in terms of age, race, and sex and didn’t have a TBI exposure.” Other studies yielded similar findings.

Because cardiovascular risk factors and events become more common with age, it’s important to account for age in evaluating the effects of TBI. Although many studies of TBI and subsequent CVD didn’t stratify individuals by age, one 10-year study of people without any known cardiovascular or neuropsychiatric conditions who sustained TBI found that people as young as 18-40 years were more likely to develop hypertension, hyperlipidemia, obesity, and diabetes within 3-5 years following brain injury than matched individuals in the control group.

“Individuals who have encountered TBI, surprisingly even those who are young and in good health with no prior comorbid conditions, face an increased risk of adverse cardiovascular outcomes for an extended duration after the initial event,” Drs. Zafonte and Izzy summarized. “Therefore, it’s imperative that they receive regular and long-term screenings for CVD and associated risk factors.”
 

Bidirectional Relationship

Brain injury has been associated with acute cardiovascular dysfunction, including autonomic heart-brain axis dysregulation, imbalances between the sympathetic and parasympathetic nervous systems, and excessive catecholamine release, the authors noted.

Drs. Zafonte and Izzy suggested several plausible links between TBI and cardiovascular dysfunction, noting that they are “likely multifaceted, potentially encompassing risk factors that span the pre-injury, injury, and post-injury phases of the condition.”

TBI may induce alterations in neurobiological processes, which have been reported to be associated with an increased risk for CVD (eg, chronic dysfunction of the autonomic system, systemic inflammation, and modifications in the brain-gut connection).

Patients with TBI might develop additional risk factors following the injury, including conditions like posttraumatic stress disorder, depression, and other psychiatric illnesses, which are “known to augment the risk of CVD.”

TBI can lead to subsequent behavioral and lifestyle changes that place patients at an elevated risk for both cardiovascular and cognitive dysfunction when compared to the general population of TBI survivors.

There may be additional as yet undefined risks.

They believe there’s a bidirectional relationship between TBI and CVD. “On one hand, TBI has been associated with an elevated risk of CVD,” they said. “Conversely, cardiovascular risk factors such as diabetes, hypertension, hyperlipidemia, and sleep disturbances that have been demonstrated to negatively influence cognitive function and heighten the risk of dementia. Consequently, this interplay can further compound the long-term consequences of the injury.”

Their work aims to try and disentangle this “complex series of relationships.”

They recommend screening to identify diseases in their earliest and “most manageable phases” because TBI has been “unveiled as an underappreciated risk factor for CVD within contact sports, military, and community setting.”

An effective screening program “should rely on quantifiable and dependable biomarkers such as blood pressure, BMI, waist circumference, blood lipid levels, and glucose. Additionally, it should take into account other factors like smoking habits, physical activity, and dietary choices,” they recommended.
 

Heart-Brain Connection

Dr. Croll noted that TBI is “associated with many poorly understood physiologic changes and complications, so it’s exciting to see research aimed at clarifying this chronic disease process.”

In recent years, “we have seen a greater appreciation and understanding of the heart-brain connection,” she said. “Moving forward, more research, including TBI research, will target that connection.”

She added that there are probably “multiple mechanisms” at play underlying the connection between TBI and CVD.

Most importantly, “we are increasingly learning that TBI is not only a discrete event that requires immediate treatment but also a chronic disease process,” and when we “think about the substantial long-term morbidity associated with TBI, we should keep increased risk for CVD on top of mind,” said Dr. Croll.

The review received no funding. Izzy reported receiving grants from the US National Institutes of Health (NIH) and 2023 Stepping Strong Innovator Award. Dr. Zafonte reported receiving grants from the NIH and royalties from Springer and Demos publishing for serving as a coeditor of Brain Injury Medicine. Dr. Zafonte has also served as an adviser to Myomo, Oncare.ai, Nanodiagnostics, and Kisbee. He reported evaluating patients in the Massachusetts General Hospital Brain and Body–TRUST Program, which is funded by the NFL Players Association. The other authors’ disclosures are listed on the original paper. Dr. Croll declared no relevant financial relationships.

A version of this article appeared on Medscape.com.

The long-term impact of traumatic brain injury (TBI) on neurologic and psychiatric function is well-established, but a growing body of research is pointing to unexpected medical sequalae, including cardiovascular disease (CVD).

A recent review looked at the investigation to date into this surprising connection, not only summarizing study findings but also suggesting potential mechanisms that might account for the association.

“This work offers further evidence that individuals with TBI are at an elevated risk of unfavorable cardiovascular outcomes for an extended period following the initial incident; consequently, they should undergo regular monitoring,” senior author Ross Zafonte, DO, president of Spaulding Rehabilitation Network, Boston, and lead author Saef Izzy, MD, MBChB, a neurologist at the Stroke and Cerebrovascular Center of Brigham and Women’s Hospital, Boston, Massachusetts, told this news organization.

“This holds significant importance for healthcare practitioners, as there exist several strategies to mitigate cardiovascular disease risk — including weight management, adopting a healthy diet, engaging in regular physical activity, and quitting smoking,” they stated.

Leslie Croll, MD, American Heart Association volunteer and assistant professor of clinical neurology at the Temple University Lewis Katz School of Medicine, Philadelphia, Pennsylvania, told this news organization that it’s “extremely important to learn more about the interplay between TBI, neurologic disease, psychiatric complications, and the cardiovascular system.”

Hopefully, she added, “future research will help us understand what kind of cardiovascular disease monitoring and prevention measures stand to give TBI patients the most benefit.”
 

Chronic Condition

TBI is “a major cause of long-term disability and premature death,” and is “highly prevalent among contact sports players, military personnel (eg, due to injuries sustained during conflict), and the general population (eg, due to falls and road traffic incidents),” the authors wrote.

Most studies pertaining to TBI have “primarily focused on establishing connections between single TBI, repetitive TBI, and their acute and chronic neurological and psychiatric consequences, such as Parkinson’s disease, Alzheimer’s disease, and chronic traumatic encephalopathy (CTE),” Drs. Zafonte and Izzy noted. By contrast, there has been a “notable lack of research attention given to non-neurological conditions associated with TBI.”

They pointed out that recent insights into TBI — particularly the acknowledgment of TBI as an “emerging chronic condition rather than merely an acute aftermath of brain injury” — have come to light through epidemiologic and pathologic investigations involving military veterans, professional American-style football players, and the civilian population. “This recognition opens up an opportunity to broaden our perspective and delve into the medical aspects of health that may be influenced by TBI.”

To broaden the investigation, the researchers reviewed literature published between January 1, 2001, and June 18, 2023. Of 26,335 articles, they narrowed their review down to 15 studies that investigated CVD, CVD risk factors, and cerebrovascular disease in the chronic phase of TBI, including community, military, or sport-related brain trauma, regardless of the timing of disease occurrence with respect to brain injury via TBI or repetitive head impact.
 

New Cardiovascular Risk

Studies that used national or local registries tended to be retrospective and predominantly conducted in people with preexisting cardiovascular conditions. In these studies, TBI was found to be an independent risk factor for myocardial dysfunction. However, although these studies do provide evidence of elevated cardiovascular risk subsequent to a single TBI, including individuals with preexisting medical comorbidities “makes it difficult to determine the timing of incident cardiovascular disease and cardiovascular risk factors subsequent to brain injury,” they wrote.

However, some studies showed that even individuals with TBI but without preexisting myocardial dysfunction at baseline had a significantly higher risk for CVD than those without a history of TBI.

In fact, several studies included populations without preexisting medical and cardiovascular comorbidities to “better refine the order and timing of CVD and other risk factors in individuals with TBI.”

For example, one study of concussion survivors without preexisting diagnoses showed that cardiovascular, endocrinological, and neuropsychiatric comorbidities occurred at a “significantly higher incidence within 5 years after concussive TBI compared with healthy individuals who were matched in terms of age, race, and sex and didn’t have a TBI exposure.” Other studies yielded similar findings.

Because cardiovascular risk factors and events become more common with age, it’s important to account for age in evaluating the effects of TBI. Although many studies of TBI and subsequent CVD didn’t stratify individuals by age, one 10-year study of people without any known cardiovascular or neuropsychiatric conditions who sustained TBI found that people as young as 18-40 years were more likely to develop hypertension, hyperlipidemia, obesity, and diabetes within 3-5 years following brain injury than matched individuals in the control group.

“Individuals who have encountered TBI, surprisingly even those who are young and in good health with no prior comorbid conditions, face an increased risk of adverse cardiovascular outcomes for an extended duration after the initial event,” Drs. Zafonte and Izzy summarized. “Therefore, it’s imperative that they receive regular and long-term screenings for CVD and associated risk factors.”
 

Bidirectional Relationship

Brain injury has been associated with acute cardiovascular dysfunction, including autonomic heart-brain axis dysregulation, imbalances between the sympathetic and parasympathetic nervous systems, and excessive catecholamine release, the authors noted.

Drs. Zafonte and Izzy suggested several plausible links between TBI and cardiovascular dysfunction, noting that they are “likely multifaceted, potentially encompassing risk factors that span the pre-injury, injury, and post-injury phases of the condition.”

TBI may induce alterations in neurobiological processes, which have been reported to be associated with an increased risk for CVD (eg, chronic dysfunction of the autonomic system, systemic inflammation, and modifications in the brain-gut connection).

Patients with TBI might develop additional risk factors following the injury, including conditions like posttraumatic stress disorder, depression, and other psychiatric illnesses, which are “known to augment the risk of CVD.”

TBI can lead to subsequent behavioral and lifestyle changes that place patients at an elevated risk for both cardiovascular and cognitive dysfunction when compared to the general population of TBI survivors.

There may be additional as yet undefined risks.

They believe there’s a bidirectional relationship between TBI and CVD. “On one hand, TBI has been associated with an elevated risk of CVD,” they said. “Conversely, cardiovascular risk factors such as diabetes, hypertension, hyperlipidemia, and sleep disturbances that have been demonstrated to negatively influence cognitive function and heighten the risk of dementia. Consequently, this interplay can further compound the long-term consequences of the injury.”

Their work aims to try and disentangle this “complex series of relationships.”

They recommend screening to identify diseases in their earliest and “most manageable phases” because TBI has been “unveiled as an underappreciated risk factor for CVD within contact sports, military, and community setting.”

An effective screening program “should rely on quantifiable and dependable biomarkers such as blood pressure, BMI, waist circumference, blood lipid levels, and glucose. Additionally, it should take into account other factors like smoking habits, physical activity, and dietary choices,” they recommended.
 

Heart-Brain Connection

Dr. Croll noted that TBI is “associated with many poorly understood physiologic changes and complications, so it’s exciting to see research aimed at clarifying this chronic disease process.”

In recent years, “we have seen a greater appreciation and understanding of the heart-brain connection,” she said. “Moving forward, more research, including TBI research, will target that connection.”

She added that there are probably “multiple mechanisms” at play underlying the connection between TBI and CVD.

Most importantly, “we are increasingly learning that TBI is not only a discrete event that requires immediate treatment but also a chronic disease process,” and when we “think about the substantial long-term morbidity associated with TBI, we should keep increased risk for CVD on top of mind,” said Dr. Croll.

The review received no funding. Izzy reported receiving grants from the US National Institutes of Health (NIH) and 2023 Stepping Strong Innovator Award. Dr. Zafonte reported receiving grants from the NIH and royalties from Springer and Demos publishing for serving as a coeditor of Brain Injury Medicine. Dr. Zafonte has also served as an adviser to Myomo, Oncare.ai, Nanodiagnostics, and Kisbee. He reported evaluating patients in the Massachusetts General Hospital Brain and Body–TRUST Program, which is funded by the NFL Players Association. The other authors’ disclosures are listed on the original paper. Dr. Croll declared no relevant financial relationships.

A version of this article appeared on Medscape.com.

The long-term impact of traumatic brain injury (TBI) on neurologic and psychiatric function is well-established, but a growing body of research is pointing to unexpected medical sequalae, including cardiovascular disease (CVD).

A recent review looked at the investigation to date into this surprising connection, not only summarizing study findings but also suggesting potential mechanisms that might account for the association.

“This work offers further evidence that individuals with TBI are at an elevated risk of unfavorable cardiovascular outcomes for an extended period following the initial incident; consequently, they should undergo regular monitoring,” senior author Ross Zafonte, DO, president of Spaulding Rehabilitation Network, Boston, and lead author Saef Izzy, MD, MBChB, a neurologist at the Stroke and Cerebrovascular Center of Brigham and Women’s Hospital, Boston, Massachusetts, told this news organization.

“This holds significant importance for healthcare practitioners, as there exist several strategies to mitigate cardiovascular disease risk — including weight management, adopting a healthy diet, engaging in regular physical activity, and quitting smoking,” they stated.

Leslie Croll, MD, American Heart Association volunteer and assistant professor of clinical neurology at the Temple University Lewis Katz School of Medicine, Philadelphia, Pennsylvania, told this news organization that it’s “extremely important to learn more about the interplay between TBI, neurologic disease, psychiatric complications, and the cardiovascular system.”

Hopefully, she added, “future research will help us understand what kind of cardiovascular disease monitoring and prevention measures stand to give TBI patients the most benefit.”
 

Chronic Condition

TBI is “a major cause of long-term disability and premature death,” and is “highly prevalent among contact sports players, military personnel (eg, due to injuries sustained during conflict), and the general population (eg, due to falls and road traffic incidents),” the authors wrote.

Most studies pertaining to TBI have “primarily focused on establishing connections between single TBI, repetitive TBI, and their acute and chronic neurological and psychiatric consequences, such as Parkinson’s disease, Alzheimer’s disease, and chronic traumatic encephalopathy (CTE),” Drs. Zafonte and Izzy noted. By contrast, there has been a “notable lack of research attention given to non-neurological conditions associated with TBI.”

They pointed out that recent insights into TBI — particularly the acknowledgment of TBI as an “emerging chronic condition rather than merely an acute aftermath of brain injury” — have come to light through epidemiologic and pathologic investigations involving military veterans, professional American-style football players, and the civilian population. “This recognition opens up an opportunity to broaden our perspective and delve into the medical aspects of health that may be influenced by TBI.”

To broaden the investigation, the researchers reviewed literature published between January 1, 2001, and June 18, 2023. Of 26,335 articles, they narrowed their review down to 15 studies that investigated CVD, CVD risk factors, and cerebrovascular disease in the chronic phase of TBI, including community, military, or sport-related brain trauma, regardless of the timing of disease occurrence with respect to brain injury via TBI or repetitive head impact.
 

New Cardiovascular Risk

Studies that used national or local registries tended to be retrospective and predominantly conducted in people with preexisting cardiovascular conditions. In these studies, TBI was found to be an independent risk factor for myocardial dysfunction. However, although these studies do provide evidence of elevated cardiovascular risk subsequent to a single TBI, including individuals with preexisting medical comorbidities “makes it difficult to determine the timing of incident cardiovascular disease and cardiovascular risk factors subsequent to brain injury,” they wrote.

However, some studies showed that even individuals with TBI but without preexisting myocardial dysfunction at baseline had a significantly higher risk for CVD than those without a history of TBI.

In fact, several studies included populations without preexisting medical and cardiovascular comorbidities to “better refine the order and timing of CVD and other risk factors in individuals with TBI.”

For example, one study of concussion survivors without preexisting diagnoses showed that cardiovascular, endocrinological, and neuropsychiatric comorbidities occurred at a “significantly higher incidence within 5 years after concussive TBI compared with healthy individuals who were matched in terms of age, race, and sex and didn’t have a TBI exposure.” Other studies yielded similar findings.

Because cardiovascular risk factors and events become more common with age, it’s important to account for age in evaluating the effects of TBI. Although many studies of TBI and subsequent CVD didn’t stratify individuals by age, one 10-year study of people without any known cardiovascular or neuropsychiatric conditions who sustained TBI found that people as young as 18-40 years were more likely to develop hypertension, hyperlipidemia, obesity, and diabetes within 3-5 years following brain injury than matched individuals in the control group.

“Individuals who have encountered TBI, surprisingly even those who are young and in good health with no prior comorbid conditions, face an increased risk of adverse cardiovascular outcomes for an extended duration after the initial event,” Drs. Zafonte and Izzy summarized. “Therefore, it’s imperative that they receive regular and long-term screenings for CVD and associated risk factors.”
 

Bidirectional Relationship

Brain injury has been associated with acute cardiovascular dysfunction, including autonomic heart-brain axis dysregulation, imbalances between the sympathetic and parasympathetic nervous systems, and excessive catecholamine release, the authors noted.

Drs. Zafonte and Izzy suggested several plausible links between TBI and cardiovascular dysfunction, noting that they are “likely multifaceted, potentially encompassing risk factors that span the pre-injury, injury, and post-injury phases of the condition.”

TBI may induce alterations in neurobiological processes, which have been reported to be associated with an increased risk for CVD (eg, chronic dysfunction of the autonomic system, systemic inflammation, and modifications in the brain-gut connection).

Patients with TBI might develop additional risk factors following the injury, including conditions like posttraumatic stress disorder, depression, and other psychiatric illnesses, which are “known to augment the risk of CVD.”

TBI can lead to subsequent behavioral and lifestyle changes that place patients at an elevated risk for both cardiovascular and cognitive dysfunction when compared to the general population of TBI survivors.

There may be additional as yet undefined risks.

They believe there’s a bidirectional relationship between TBI and CVD. “On one hand, TBI has been associated with an elevated risk of CVD,” they said. “Conversely, cardiovascular risk factors such as diabetes, hypertension, hyperlipidemia, and sleep disturbances that have been demonstrated to negatively influence cognitive function and heighten the risk of dementia. Consequently, this interplay can further compound the long-term consequences of the injury.”

Their work aims to try and disentangle this “complex series of relationships.”

They recommend screening to identify diseases in their earliest and “most manageable phases” because TBI has been “unveiled as an underappreciated risk factor for CVD within contact sports, military, and community setting.”

An effective screening program “should rely on quantifiable and dependable biomarkers such as blood pressure, BMI, waist circumference, blood lipid levels, and glucose. Additionally, it should take into account other factors like smoking habits, physical activity, and dietary choices,” they recommended.
 

Heart-Brain Connection

Dr. Croll noted that TBI is “associated with many poorly understood physiologic changes and complications, so it’s exciting to see research aimed at clarifying this chronic disease process.”

In recent years, “we have seen a greater appreciation and understanding of the heart-brain connection,” she said. “Moving forward, more research, including TBI research, will target that connection.”

She added that there are probably “multiple mechanisms” at play underlying the connection between TBI and CVD.

Most importantly, “we are increasingly learning that TBI is not only a discrete event that requires immediate treatment but also a chronic disease process,” and when we “think about the substantial long-term morbidity associated with TBI, we should keep increased risk for CVD on top of mind,” said Dr. Croll.

The review received no funding. Izzy reported receiving grants from the US National Institutes of Health (NIH) and 2023 Stepping Strong Innovator Award. Dr. Zafonte reported receiving grants from the NIH and royalties from Springer and Demos publishing for serving as a coeditor of Brain Injury Medicine. Dr. Zafonte has also served as an adviser to Myomo, Oncare.ai, Nanodiagnostics, and Kisbee. He reported evaluating patients in the Massachusetts General Hospital Brain and Body–TRUST Program, which is funded by the NFL Players Association. The other authors’ disclosures are listed on the original paper. Dr. Croll declared no relevant financial relationships.

A version of this article appeared on Medscape.com.

“You have psoriasis,” I say all the time. I mean it when I say it, of course. But I don’t always to the same degree. Sometimes I’m trying to say, “You probably have psoriasis.” Other times I mean, “You most definitely have psoriasis.” I rarely use those terms though.

One 36-year-old man with a flaky scalp and scaly elbows wasn’t satisfied with my assessment. His dad has psoriasis. So does his older brother. He was in to see me to find out if he had psoriasis too. “Probably” was what I gave him. He pushed back, “What percent chance?” That’s a good question — must be an engineer. I’m unsure.

Kaiser Permanente

With the exception of the poker players, our species is notoriously bad at probabilities. We’re wired to notice the significance of events, but terrible at understanding their likelihood. This is salient in lottery ticket holders and some NFL offensive coordinators who persist despite very long odds of things working out. It’s also reflected in the language we use. Rarely do we say, there’s a sixty percent chance something will happen. Rather, we say, “it’s likely.” There are two problems here. One, we often misjudge the actual probability of something occurring and two, the terms we use are subjective and differences in interpretation can lead to misunderstandings.

Let’s take a look. A 55-year-old man with a chronic eczematous rash on his trunk and extremities is getting worse despite dupilumab. He recently had night sweats. Do you think he has atopic dermatitis or cutaneous T-cell lymphoma? If you had to place a $100 bet, would you change your answer? Immanuel Kant thinks you would. In his “Critique of Pure Reason,” the German philosopher proposes that betting helps clarify the mind, an antidote to brashness. The example Kant uses is of a physician who observes a patient and concludes he has phthisis (tuberculosis), but we really don’t know if the physician is confident. Kant proposes that if he had to bet on his conclusion, then we’d have insight into just how convinced he is of phthisis. So, what’s your bet?

If you’re a bad poker player, then you might bet he has cutaneous T-cell lymphoma. However, not having any additional information, the smart call is atopic dermatitis, which has a base rate 1000-fold higher than CTCL. It is therefore more probable to be eczema even in a case that worsens despite dupilumab or with recent night sweats, both of which could be a result of common variables such as weather and COVID. Failure to account for the base rate is a mistake we physicians sometimes make. Economists rarely do. Try to think like one before answering a likelihood question.

For my scaly patient, we know psoriasis is common and so it’s likely he has it. The trouble is what “probably” means to me might mean something different to him. If you think about it, “probably” means something different even to me, depending on the situation. I might say I’ll probably go to Montana this summer and I’ll probably retire at 65. The actual likelihoods might be 95% and 70%. That’s a big difference. What about between probably and likely? Or possibly and maybe? Do they mean the same to you as to the person you’re speaking with? For much of the work we do, precise likelihoods aren’t critical. Yet, it can be important in decision making and in discussing probabilities, such as the risk of hepatitis on terbinafine or of melanoma recurrence after Mohs.

I told my patient “I say about a 70% chance you have psoriasis. I could do a biopsy today to confirm.” He thought for a second and asked, “What is the chance it’s psoriasis if the biopsy shows it?” “Eighty six percent,” I replied.

Seemed like a good bet to me.

Dr. Benabio is director of Healthcare Transformation and chief of dermatology at Kaiser Permanente San Diego. The opinions expressed in this column are his own and do not represent those of Kaiser Permanente. Dr. Benabio is @Dermdoc on X. Write to him at dermnews@mdedge.com.

“You have psoriasis,” I say all the time. I mean it when I say it, of course. But I don’t always to the same degree. Sometimes I’m trying to say, “You probably have psoriasis.” Other times I mean, “You most definitely have psoriasis.” I rarely use those terms though.

One 36-year-old man with a flaky scalp and scaly elbows wasn’t satisfied with my assessment. His dad has psoriasis. So does his older brother. He was in to see me to find out if he had psoriasis too. “Probably” was what I gave him. He pushed back, “What percent chance?” That’s a good question — must be an engineer. I’m unsure.

Kaiser Permanente

With the exception of the poker players, our species is notoriously bad at probabilities. We’re wired to notice the significance of events, but terrible at understanding their likelihood. This is salient in lottery ticket holders and some NFL offensive coordinators who persist despite very long odds of things working out. It’s also reflected in the language we use. Rarely do we say, there’s a sixty percent chance something will happen. Rather, we say, “it’s likely.” There are two problems here. One, we often misjudge the actual probability of something occurring and two, the terms we use are subjective and differences in interpretation can lead to misunderstandings.

Let’s take a look. A 55-year-old man with a chronic eczematous rash on his trunk and extremities is getting worse despite dupilumab. He recently had night sweats. Do you think he has atopic dermatitis or cutaneous T-cell lymphoma? If you had to place a $100 bet, would you change your answer? Immanuel Kant thinks you would. In his “Critique of Pure Reason,” the German philosopher proposes that betting helps clarify the mind, an antidote to brashness. The example Kant uses is of a physician who observes a patient and concludes he has phthisis (tuberculosis), but we really don’t know if the physician is confident. Kant proposes that if he had to bet on his conclusion, then we’d have insight into just how convinced he is of phthisis. So, what’s your bet?

If you’re a bad poker player, then you might bet he has cutaneous T-cell lymphoma. However, not having any additional information, the smart call is atopic dermatitis, which has a base rate 1000-fold higher than CTCL. It is therefore more probable to be eczema even in a case that worsens despite dupilumab or with recent night sweats, both of which could be a result of common variables such as weather and COVID. Failure to account for the base rate is a mistake we physicians sometimes make. Economists rarely do. Try to think like one before answering a likelihood question.

For my scaly patient, we know psoriasis is common and so it’s likely he has it. The trouble is what “probably” means to me might mean something different to him. If you think about it, “probably” means something different even to me, depending on the situation. I might say I’ll probably go to Montana this summer and I’ll probably retire at 65. The actual likelihoods might be 95% and 70%. That’s a big difference. What about between probably and likely? Or possibly and maybe? Do they mean the same to you as to the person you’re speaking with? For much of the work we do, precise likelihoods aren’t critical. Yet, it can be important in decision making and in discussing probabilities, such as the risk of hepatitis on terbinafine or of melanoma recurrence after Mohs.

I told my patient “I say about a 70% chance you have psoriasis. I could do a biopsy today to confirm.” He thought for a second and asked, “What is the chance it’s psoriasis if the biopsy shows it?” “Eighty six percent,” I replied.

Seemed like a good bet to me.

Dr. Benabio is director of Healthcare Transformation and chief of dermatology at Kaiser Permanente San Diego. The opinions expressed in this column are his own and do not represent those of Kaiser Permanente. Dr. Benabio is @Dermdoc on X. Write to him at dermnews@mdedge.com.

“You have psoriasis,” I say all the time. I mean it when I say it, of course. But I don’t always to the same degree. Sometimes I’m trying to say, “You probably have psoriasis.” Other times I mean, “You most definitely have psoriasis.” I rarely use those terms though.

One 36-year-old man with a flaky scalp and scaly elbows wasn’t satisfied with my assessment. His dad has psoriasis. So does his older brother. He was in to see me to find out if he had psoriasis too. “Probably” was what I gave him. He pushed back, “What percent chance?” That’s a good question — must be an engineer. I’m unsure.

Kaiser Permanente

With the exception of the poker players, our species is notoriously bad at probabilities. We’re wired to notice the significance of events, but terrible at understanding their likelihood. This is salient in lottery ticket holders and some NFL offensive coordinators who persist despite very long odds of things working out. It’s also reflected in the language we use. Rarely do we say, there’s a sixty percent chance something will happen. Rather, we say, “it’s likely.” There are two problems here. One, we often misjudge the actual probability of something occurring and two, the terms we use are subjective and differences in interpretation can lead to misunderstandings.

Let’s take a look. A 55-year-old man with a chronic eczematous rash on his trunk and extremities is getting worse despite dupilumab. He recently had night sweats. Do you think he has atopic dermatitis or cutaneous T-cell lymphoma? If you had to place a $100 bet, would you change your answer? Immanuel Kant thinks you would. In his “Critique of Pure Reason,” the German philosopher proposes that betting helps clarify the mind, an antidote to brashness. The example Kant uses is of a physician who observes a patient and concludes he has phthisis (tuberculosis), but we really don’t know if the physician is confident. Kant proposes that if he had to bet on his conclusion, then we’d have insight into just how convinced he is of phthisis. So, what’s your bet?

If you’re a bad poker player, then you might bet he has cutaneous T-cell lymphoma. However, not having any additional information, the smart call is atopic dermatitis, which has a base rate 1000-fold higher than CTCL. It is therefore more probable to be eczema even in a case that worsens despite dupilumab or with recent night sweats, both of which could be a result of common variables such as weather and COVID. Failure to account for the base rate is a mistake we physicians sometimes make. Economists rarely do. Try to think like one before answering a likelihood question.

For my scaly patient, we know psoriasis is common and so it’s likely he has it. The trouble is what “probably” means to me might mean something different to him. If you think about it, “probably” means something different even to me, depending on the situation. I might say I’ll probably go to Montana this summer and I’ll probably retire at 65. The actual likelihoods might be 95% and 70%. That’s a big difference. What about between probably and likely? Or possibly and maybe? Do they mean the same to you as to the person you’re speaking with? For much of the work we do, precise likelihoods aren’t critical. Yet, it can be important in decision making and in discussing probabilities, such as the risk of hepatitis on terbinafine or of melanoma recurrence after Mohs.

I told my patient “I say about a 70% chance you have psoriasis. I could do a biopsy today to confirm.” He thought for a second and asked, “What is the chance it’s psoriasis if the biopsy shows it?” “Eighty six percent,” I replied.

Seemed like a good bet to me.

Dr. Benabio is director of Healthcare Transformation and chief of dermatology at Kaiser Permanente San Diego. The opinions expressed in this column are his own and do not represent those of Kaiser Permanente. Dr. Benabio is @Dermdoc on X. Write to him at dermnews@mdedge.com.

For years, oncologist John DiPersio, MD, PhD, had faced frustrating encounters with insurers that only cover medications through a process called white bagging.

Instead of the traditional buy-and-bill pathway where oncologists purchase specialty drugs, such as infusion medications, directly from the distributor or manufacturer, white bagging requires physicians to receive these drugs from a specialty pharmacy.

On its face, the differences may seem minor. However, as Dr. DiPersio knows well, the consequences for oncologists and patients are not.

White bagging, research showed, leads to higher costs for patients and lower reimbursement for oncology practices. The practice can also create safety issues for patients.

That is why Dr. DiPersio’s cancer center does not allow white bagging.

And when insurers refuse to reconsider the white bagging policy, his cancer team is left with few options.

“Sometimes, we have to redirect patients to other places,” said Dr. DiPersio, a bone marrow transplant specialist at Siteman Cancer Center, Washington University, St. Louis.

In emergency instances where patients cannot wait, Dr. DiPersio’s team will administer their own stock of a drug. In such cases, “we accept the fact that by not allowing white bagging, there may be nonpayment. We take the hit as far as cost.”

Increasingly, white bagging mandates are becoming harder for practices to avoid.

In a 2021 survey, 87% of Association of Community Cancer Centers members said white bagging has become an insurer mandate for some of their patients.

A 2023 analysis from Adam J. Fein, PhD, of Drug Channels Institute, Philadelphia, found that white bagging accounted for 17% of infused oncology product sourcing from clinics and 38% from hospital outpatient departments, up from 15% to 28% in 2019. Another practice called brown bagging, where specialty pharmacies send drugs directly to patients, creates many of the same issues but is much less prevalent than white bagging.

This change reflects “the broader battle over oncology margins” and insurers’ “attempts to shift costs to providers, patients, and manufacturers,” Dr. Fein wrote in his 2023 report.
 

White Bagging: Who Benefits?

At its core, white bagging changes how drugs are covered and reimbursed. Under buy and bill, drugs fall under a patient’s medical benefit. Oncologists purchase drugs directly from the manufacturer or distributor and receive reimbursement from the insurance company for both the cost of the drug as well as for administering it to patients.

Under white bagging, drugs fall under a patient’s pharmacy benefit. In these instances, a specialty pharmacy prepares the infusion ahead of time and ships it directly to the physician’s office or clinic. Because oncologists do not purchase the drug directly, they cannot bill insurers for it; instead, the pharmacy receives reimbursement for the drug and the provider is reimbursed for administering it.

Insurance companies argue that white bagging reduces patients’ out-of-pocket costs “by preventing hospitals and physicians from charging exorbitant fees to buy and store specialty medicines themselves,” according to advocacy group America’s Health Insurance Plans (AHIP).

Data from AHIP suggested that hospitals mark up the price of cancer drugs considerably, charging about twice as much as a specialty pharmacy, and that physician’s offices also charge about 23% more. However, these figures highlight how much insurers are billed, not necessarily how much patients ultimately pay.

Other evidence shows that white bagging raises costs for patients while reducing reimbursement for oncologists and saving insurance companies money.

A recent analysis in JAMA Network Open, which looked at 50 cancer drugs associated with the highest total spending from the 2020 Medicare Part B, found that mean insurance payments to providers were more than $2000 lower for drugs distributed under bagging than traditional buy and bill: $7405 vs $9547 per patient per month. Investigators found the same pattern in median insurance payments: $5746 vs $6681. Patients also paid more out-of-pocket each month with bagging vs buy and bill: $315 vs $145.

For patients with private insurance, “out-of-pocket costs were higher under bagging practice than the traditional buy-and-bill practice,” said lead author Ya-Chen Tina Shih, PhD, a professor in the department of radiation oncology at UCLA Health, Los Angeles.

White bagging is entirely for the profit of health insurers, specialty pharmacies, and pharmacy benefit managers, the middlemen who negotiate drug prices on behalf of payers.

Many people may not realize the underlying money-making strategies behind white bagging, explained Ted Okon, executive director for Community Oncology Alliance, which opposes the practice. Often, an insurer, pharmacy benefit manager, and mail order pharmacy involved in the process are all affiliated with the same corporation. In such cases, an insurer has a financial motive to control the source of medications and steer business to its affiliated pharmacies, Mr. Okon said.

When a single corporation owns numerous parts of the drug supply chain, insurers end up having “sway over what drug to use and then how the patient is going to get it,” Mr. Okon said. If the specialty pharmacy is a 340B contract pharmacy, it likely also receives a sizable discount on the drug and can make more money through white bagging.
 

Dangerous to Patients?

On the safety front, proponents of white bagging say the process is safe and efficient.

Specialty pharmacies are used only for prescription drugs that can be safely delivered, said AHIP spokesman David Allen.

In addition to having the same supply chain safety requirements as any other dispensing pharmacy, “specialty pharmacies also must meet additional safety requirements for specialty drugs” to ensure “the safe storage, handling, and dispensing of the drugs,” Mr. Allen explained.

However, oncologists argue that white bagging can be dangerous.

With white bagging, specialty pharmacies send a specified dose to practices, which does not allow practices to source and mix the drug themselves or make essential last-minute dose-related changes — something that happens every day in the clinic, said Debra Patt, MD, PhD, MBA, executive vice president for policy and strategy for Texas Oncology, Dallas.

White bagging also increases the risk for drug contamination, results in drug waste if the medication can’t be used, and can create delays in care.

Essentially, white bagging takes control away from oncologists and makes patient care more unpredictable and complex, explained Dr. Patt, president of the Texas Society of Clinical Oncology, Rockville, Maryland.

Dr. Patt, who does not allow white bagging in her practice, recalled a recent patient with metastatic breast cancer who came to the clinic for trastuzumab deruxtecan. The patient had been experiencing acute abdominal pain. After an exam and CT, Dr. Patt found the breast cancer had grown and moved into the patient’s liver.

“I had to discontinue that plan and change to a different chemotherapy,” she said. “If we had white bagged, that would have been a waste of several thousand dollars. Also, the patient would have to wait for the new medication to be white bagged, a delay that would be at least a week and the patient would have to come back at another time.”

When asked about the safety concerns associated with white bagging, Lemrey “Al” Carter, MS, PharmD, RPh, executive director of the National Association of Boards of Pharmacy (NABP), said the NABP “acknowledges that all these issues exist.

“It is unfortunate if patient care or costs are negatively impacted,” Dr. Carter said, adding that “boards of pharmacy can investigate if they are made aware of safety concerns at the pharmacy level. If a violation of the pharmacy laws or rules is found, boards can take action.”
 

More Legislation to Prevent Bagging

As white bagging mandates from insurance companies ramp up, more practices and states are banning it.

In the Association of Community Cancer Centers’ 2021 survey, 59% of members said their cancer program or practice does not allow white bagging.

At least 15 states have introduced legislation that restricts and/or prohibits white and brown bagging practices, according to a 2023 report by the Institute for Clinical and Economic Review. Some of the proposed laws would restrict mandates by stipulating that physicians are reimbursed at the contracted amount for clinician-administered drugs, whether obtained from a pharmacy or the manufacturer.

Louisiana, Vermont, and Minnesota were the first to enact anti–white bagging laws. Louisiana’s law, for example, enacted in 2021, bans white bagging and requires insurers to reimburse providers for physician-administered drugs if obtained from out-of-network pharmacies.

When the legislation passed, white bagging was just starting to enter the healthcare market in Louisiana, and the state wanted to act proactively, said Kathy W. Oubre, MS, CEO of the Pontchartrain Cancer Center, Covington, Louisiana, and president of the Coalition of Hematology and Oncology Practices, Mountain View, California.

“We recognized the growing concern around it,” Ms. Oubre said. The state legislature at the time included physicians and pharmacists who “really understood from a practice and patient perspective, the harm that policy could do.”

Ms. Oubre would like to see more legislation in other states and believes Louisiana’s law is a good model.

At the federal level, the American Hospital Association and American Society of Health-System Pharmacists have also urged the US Food and Drug Administration to take appropriate enforcement action to protect patients from white bagging.

Legislation that bars white bagging mandates is the most reasonable way to support timely and appropriate access to cancer care, Dr. Patt said. In the absence of such legislation, she said oncologists can only opt out of insurance contracts that may require the practice.

“That is a difficult position to put oncologists in,” she said.

A version of this article appeared on Medscape.com.

For years, oncologist John DiPersio, MD, PhD, had faced frustrating encounters with insurers that only cover medications through a process called white bagging.

Instead of the traditional buy-and-bill pathway where oncologists purchase specialty drugs, such as infusion medications, directly from the distributor or manufacturer, white bagging requires physicians to receive these drugs from a specialty pharmacy.

On its face, the differences may seem minor. However, as Dr. DiPersio knows well, the consequences for oncologists and patients are not.

White bagging, research showed, leads to higher costs for patients and lower reimbursement for oncology practices. The practice can also create safety issues for patients.

That is why Dr. DiPersio’s cancer center does not allow white bagging.

And when insurers refuse to reconsider the white bagging policy, his cancer team is left with few options.

“Sometimes, we have to redirect patients to other places,” said Dr. DiPersio, a bone marrow transplant specialist at Siteman Cancer Center, Washington University, St. Louis.

In emergency instances where patients cannot wait, Dr. DiPersio’s team will administer their own stock of a drug. In such cases, “we accept the fact that by not allowing white bagging, there may be nonpayment. We take the hit as far as cost.”

Increasingly, white bagging mandates are becoming harder for practices to avoid.

In a 2021 survey, 87% of Association of Community Cancer Centers members said white bagging has become an insurer mandate for some of their patients.

A 2023 analysis from Adam J. Fein, PhD, of Drug Channels Institute, Philadelphia, found that white bagging accounted for 17% of infused oncology product sourcing from clinics and 38% from hospital outpatient departments, up from 15% to 28% in 2019. Another practice called brown bagging, where specialty pharmacies send drugs directly to patients, creates many of the same issues but is much less prevalent than white bagging.

This change reflects “the broader battle over oncology margins” and insurers’ “attempts to shift costs to providers, patients, and manufacturers,” Dr. Fein wrote in his 2023 report.
 

White Bagging: Who Benefits?

At its core, white bagging changes how drugs are covered and reimbursed. Under buy and bill, drugs fall under a patient’s medical benefit. Oncologists purchase drugs directly from the manufacturer or distributor and receive reimbursement from the insurance company for both the cost of the drug as well as for administering it to patients.

Under white bagging, drugs fall under a patient’s pharmacy benefit. In these instances, a specialty pharmacy prepares the infusion ahead of time and ships it directly to the physician’s office or clinic. Because oncologists do not purchase the drug directly, they cannot bill insurers for it; instead, the pharmacy receives reimbursement for the drug and the provider is reimbursed for administering it.

Insurance companies argue that white bagging reduces patients’ out-of-pocket costs “by preventing hospitals and physicians from charging exorbitant fees to buy and store specialty medicines themselves,” according to advocacy group America’s Health Insurance Plans (AHIP).

Data from AHIP suggested that hospitals mark up the price of cancer drugs considerably, charging about twice as much as a specialty pharmacy, and that physician’s offices also charge about 23% more. However, these figures highlight how much insurers are billed, not necessarily how much patients ultimately pay.

Other evidence shows that white bagging raises costs for patients while reducing reimbursement for oncologists and saving insurance companies money.

A recent analysis in JAMA Network Open, which looked at 50 cancer drugs associated with the highest total spending from the 2020 Medicare Part B, found that mean insurance payments to providers were more than $2000 lower for drugs distributed under bagging than traditional buy and bill: $7405 vs $9547 per patient per month. Investigators found the same pattern in median insurance payments: $5746 vs $6681. Patients also paid more out-of-pocket each month with bagging vs buy and bill: $315 vs $145.

For patients with private insurance, “out-of-pocket costs were higher under bagging practice than the traditional buy-and-bill practice,” said lead author Ya-Chen Tina Shih, PhD, a professor in the department of radiation oncology at UCLA Health, Los Angeles.

White bagging is entirely for the profit of health insurers, specialty pharmacies, and pharmacy benefit managers, the middlemen who negotiate drug prices on behalf of payers.

Many people may not realize the underlying money-making strategies behind white bagging, explained Ted Okon, executive director for Community Oncology Alliance, which opposes the practice. Often, an insurer, pharmacy benefit manager, and mail order pharmacy involved in the process are all affiliated with the same corporation. In such cases, an insurer has a financial motive to control the source of medications and steer business to its affiliated pharmacies, Mr. Okon said.

When a single corporation owns numerous parts of the drug supply chain, insurers end up having “sway over what drug to use and then how the patient is going to get it,” Mr. Okon said. If the specialty pharmacy is a 340B contract pharmacy, it likely also receives a sizable discount on the drug and can make more money through white bagging.
 

Dangerous to Patients?

On the safety front, proponents of white bagging say the process is safe and efficient.

Specialty pharmacies are used only for prescription drugs that can be safely delivered, said AHIP spokesman David Allen.

In addition to having the same supply chain safety requirements as any other dispensing pharmacy, “specialty pharmacies also must meet additional safety requirements for specialty drugs” to ensure “the safe storage, handling, and dispensing of the drugs,” Mr. Allen explained.

However, oncologists argue that white bagging can be dangerous.

With white bagging, specialty pharmacies send a specified dose to practices, which does not allow practices to source and mix the drug themselves or make essential last-minute dose-related changes — something that happens every day in the clinic, said Debra Patt, MD, PhD, MBA, executive vice president for policy and strategy for Texas Oncology, Dallas.

White bagging also increases the risk for drug contamination, results in drug waste if the medication can’t be used, and can create delays in care.

Essentially, white bagging takes control away from oncologists and makes patient care more unpredictable and complex, explained Dr. Patt, president of the Texas Society of Clinical Oncology, Rockville, Maryland.

Dr. Patt, who does not allow white bagging in her practice, recalled a recent patient with metastatic breast cancer who came to the clinic for trastuzumab deruxtecan. The patient had been experiencing acute abdominal pain. After an exam and CT, Dr. Patt found the breast cancer had grown and moved into the patient’s liver.

“I had to discontinue that plan and change to a different chemotherapy,” she said. “If we had white bagged, that would have been a waste of several thousand dollars. Also, the patient would have to wait for the new medication to be white bagged, a delay that would be at least a week and the patient would have to come back at another time.”

When asked about the safety concerns associated with white bagging, Lemrey “Al” Carter, MS, PharmD, RPh, executive director of the National Association of Boards of Pharmacy (NABP), said the NABP “acknowledges that all these issues exist.

“It is unfortunate if patient care or costs are negatively impacted,” Dr. Carter said, adding that “boards of pharmacy can investigate if they are made aware of safety concerns at the pharmacy level. If a violation of the pharmacy laws or rules is found, boards can take action.”
 

More Legislation to Prevent Bagging

As white bagging mandates from insurance companies ramp up, more practices and states are banning it.

In the Association of Community Cancer Centers’ 2021 survey, 59% of members said their cancer program or practice does not allow white bagging.

At least 15 states have introduced legislation that restricts and/or prohibits white and brown bagging practices, according to a 2023 report by the Institute for Clinical and Economic Review. Some of the proposed laws would restrict mandates by stipulating that physicians are reimbursed at the contracted amount for clinician-administered drugs, whether obtained from a pharmacy or the manufacturer.

Louisiana, Vermont, and Minnesota were the first to enact anti–white bagging laws. Louisiana’s law, for example, enacted in 2021, bans white bagging and requires insurers to reimburse providers for physician-administered drugs if obtained from out-of-network pharmacies.

When the legislation passed, white bagging was just starting to enter the healthcare market in Louisiana, and the state wanted to act proactively, said Kathy W. Oubre, MS, CEO of the Pontchartrain Cancer Center, Covington, Louisiana, and president of the Coalition of Hematology and Oncology Practices, Mountain View, California.

“We recognized the growing concern around it,” Ms. Oubre said. The state legislature at the time included physicians and pharmacists who “really understood from a practice and patient perspective, the harm that policy could do.”

Ms. Oubre would like to see more legislation in other states and believes Louisiana’s law is a good model.

At the federal level, the American Hospital Association and American Society of Health-System Pharmacists have also urged the US Food and Drug Administration to take appropriate enforcement action to protect patients from white bagging.

Legislation that bars white bagging mandates is the most reasonable way to support timely and appropriate access to cancer care, Dr. Patt said. In the absence of such legislation, she said oncologists can only opt out of insurance contracts that may require the practice.

“That is a difficult position to put oncologists in,” she said.

A version of this article appeared on Medscape.com.

For years, oncologist John DiPersio, MD, PhD, had faced frustrating encounters with insurers that only cover medications through a process called white bagging.

Instead of the traditional buy-and-bill pathway where oncologists purchase specialty drugs, such as infusion medications, directly from the distributor or manufacturer, white bagging requires physicians to receive these drugs from a specialty pharmacy.

On its face, the differences may seem minor. However, as Dr. DiPersio knows well, the consequences for oncologists and patients are not.

White bagging, research showed, leads to higher costs for patients and lower reimbursement for oncology practices. The practice can also create safety issues for patients.

That is why Dr. DiPersio’s cancer center does not allow white bagging.

And when insurers refuse to reconsider the white bagging policy, his cancer team is left with few options.

“Sometimes, we have to redirect patients to other places,” said Dr. DiPersio, a bone marrow transplant specialist at Siteman Cancer Center, Washington University, St. Louis.

In emergency instances where patients cannot wait, Dr. DiPersio’s team will administer their own stock of a drug. In such cases, “we accept the fact that by not allowing white bagging, there may be nonpayment. We take the hit as far as cost.”

Increasingly, white bagging mandates are becoming harder for practices to avoid.

In a 2021 survey, 87% of Association of Community Cancer Centers members said white bagging has become an insurer mandate for some of their patients.

A 2023 analysis from Adam J. Fein, PhD, of Drug Channels Institute, Philadelphia, found that white bagging accounted for 17% of infused oncology product sourcing from clinics and 38% from hospital outpatient departments, up from 15% to 28% in 2019. Another practice called brown bagging, where specialty pharmacies send drugs directly to patients, creates many of the same issues but is much less prevalent than white bagging.

This change reflects “the broader battle over oncology margins” and insurers’ “attempts to shift costs to providers, patients, and manufacturers,” Dr. Fein wrote in his 2023 report.
 

White Bagging: Who Benefits?

At its core, white bagging changes how drugs are covered and reimbursed. Under buy and bill, drugs fall under a patient’s medical benefit. Oncologists purchase drugs directly from the manufacturer or distributor and receive reimbursement from the insurance company for both the cost of the drug as well as for administering it to patients.

Under white bagging, drugs fall under a patient’s pharmacy benefit. In these instances, a specialty pharmacy prepares the infusion ahead of time and ships it directly to the physician’s office or clinic. Because oncologists do not purchase the drug directly, they cannot bill insurers for it; instead, the pharmacy receives reimbursement for the drug and the provider is reimbursed for administering it.

Insurance companies argue that white bagging reduces patients’ out-of-pocket costs “by preventing hospitals and physicians from charging exorbitant fees to buy and store specialty medicines themselves,” according to advocacy group America’s Health Insurance Plans (AHIP).

Data from AHIP suggested that hospitals mark up the price of cancer drugs considerably, charging about twice as much as a specialty pharmacy, and that physician’s offices also charge about 23% more. However, these figures highlight how much insurers are billed, not necessarily how much patients ultimately pay.

Other evidence shows that white bagging raises costs for patients while reducing reimbursement for oncologists and saving insurance companies money.

A recent analysis in JAMA Network Open, which looked at 50 cancer drugs associated with the highest total spending from the 2020 Medicare Part B, found that mean insurance payments to providers were more than $2000 lower for drugs distributed under bagging than traditional buy and bill: $7405 vs $9547 per patient per month. Investigators found the same pattern in median insurance payments: $5746 vs $6681. Patients also paid more out-of-pocket each month with bagging vs buy and bill: $315 vs $145.

For patients with private insurance, “out-of-pocket costs were higher under bagging practice than the traditional buy-and-bill practice,” said lead author Ya-Chen Tina Shih, PhD, a professor in the department of radiation oncology at UCLA Health, Los Angeles.

White bagging is entirely for the profit of health insurers, specialty pharmacies, and pharmacy benefit managers, the middlemen who negotiate drug prices on behalf of payers.

Many people may not realize the underlying money-making strategies behind white bagging, explained Ted Okon, executive director for Community Oncology Alliance, which opposes the practice. Often, an insurer, pharmacy benefit manager, and mail order pharmacy involved in the process are all affiliated with the same corporation. In such cases, an insurer has a financial motive to control the source of medications and steer business to its affiliated pharmacies, Mr. Okon said.

When a single corporation owns numerous parts of the drug supply chain, insurers end up having “sway over what drug to use and then how the patient is going to get it,” Mr. Okon said. If the specialty pharmacy is a 340B contract pharmacy, it likely also receives a sizable discount on the drug and can make more money through white bagging.
 

Dangerous to Patients?

On the safety front, proponents of white bagging say the process is safe and efficient.

Specialty pharmacies are used only for prescription drugs that can be safely delivered, said AHIP spokesman David Allen.

In addition to having the same supply chain safety requirements as any other dispensing pharmacy, “specialty pharmacies also must meet additional safety requirements for specialty drugs” to ensure “the safe storage, handling, and dispensing of the drugs,” Mr. Allen explained.

However, oncologists argue that white bagging can be dangerous.

With white bagging, specialty pharmacies send a specified dose to practices, which does not allow practices to source and mix the drug themselves or make essential last-minute dose-related changes — something that happens every day in the clinic, said Debra Patt, MD, PhD, MBA, executive vice president for policy and strategy for Texas Oncology, Dallas.

White bagging also increases the risk for drug contamination, results in drug waste if the medication can’t be used, and can create delays in care.

Essentially, white bagging takes control away from oncologists and makes patient care more unpredictable and complex, explained Dr. Patt, president of the Texas Society of Clinical Oncology, Rockville, Maryland.

Dr. Patt, who does not allow white bagging in her practice, recalled a recent patient with metastatic breast cancer who came to the clinic for trastuzumab deruxtecan. The patient had been experiencing acute abdominal pain. After an exam and CT, Dr. Patt found the breast cancer had grown and moved into the patient’s liver.

“I had to discontinue that plan and change to a different chemotherapy,” she said. “If we had white bagged, that would have been a waste of several thousand dollars. Also, the patient would have to wait for the new medication to be white bagged, a delay that would be at least a week and the patient would have to come back at another time.”

When asked about the safety concerns associated with white bagging, Lemrey “Al” Carter, MS, PharmD, RPh, executive director of the National Association of Boards of Pharmacy (NABP), said the NABP “acknowledges that all these issues exist.

“It is unfortunate if patient care or costs are negatively impacted,” Dr. Carter said, adding that “boards of pharmacy can investigate if they are made aware of safety concerns at the pharmacy level. If a violation of the pharmacy laws or rules is found, boards can take action.”
 

More Legislation to Prevent Bagging

As white bagging mandates from insurance companies ramp up, more practices and states are banning it.

In the Association of Community Cancer Centers’ 2021 survey, 59% of members said their cancer program or practice does not allow white bagging.

At least 15 states have introduced legislation that restricts and/or prohibits white and brown bagging practices, according to a 2023 report by the Institute for Clinical and Economic Review. Some of the proposed laws would restrict mandates by stipulating that physicians are reimbursed at the contracted amount for clinician-administered drugs, whether obtained from a pharmacy or the manufacturer.

Louisiana, Vermont, and Minnesota were the first to enact anti–white bagging laws. Louisiana’s law, for example, enacted in 2021, bans white bagging and requires insurers to reimburse providers for physician-administered drugs if obtained from out-of-network pharmacies.

When the legislation passed, white bagging was just starting to enter the healthcare market in Louisiana, and the state wanted to act proactively, said Kathy W. Oubre, MS, CEO of the Pontchartrain Cancer Center, Covington, Louisiana, and president of the Coalition of Hematology and Oncology Practices, Mountain View, California.

“We recognized the growing concern around it,” Ms. Oubre said. The state legislature at the time included physicians and pharmacists who “really understood from a practice and patient perspective, the harm that policy could do.”

Ms. Oubre would like to see more legislation in other states and believes Louisiana’s law is a good model.

At the federal level, the American Hospital Association and American Society of Health-System Pharmacists have also urged the US Food and Drug Administration to take appropriate enforcement action to protect patients from white bagging.

Legislation that bars white bagging mandates is the most reasonable way to support timely and appropriate access to cancer care, Dr. Patt said. In the absence of such legislation, she said oncologists can only opt out of insurance contracts that may require the practice.

“That is a difficult position to put oncologists in,” she said.

A version of this article appeared on Medscape.com.

France did it 5 years ago and now, from January 1, the Dutch have followed suit, banning devices such as mobile phones and tablets in classrooms unless needed during lessons, for medical reasons, or by students with disabilities. The ban aims to limit distractions during the school day. 

We could all surely do with some device detox, but the question remains whether too much screen time has an impact on child development. Karen Mansfield, PhD, a postdoctoral researcher on adolescent well-being in the digital age at Oxford University, told this news organization, “The evidence is definitely not set in stone. There have been some recent reviews of screen time effects on children, demonstrating very mixed findings.”

The latest research, said Dr. Mansfield, is still young, lacking consistency in findings, and rife with misinterpretation.

Tiziana Metitieri, a cognitive neuropsychologist at the Meyer Hospital in Florence, Italy, echoed these sentiments, suggesting that the sheer quantity of screen time is an insufficient metric for understanding its impact on cognitive and psychological development. “There are two main reasons for this,” she explained to this news organization. “Firstly, because the current measurements of screen time rely on self-report data, which can be affected by an overestimation or underestimation of objective usage due to social desirability bias. Secondly, because digital experiences differ in terms of content, device used, context, location, and individuals involved.”
 

Are Politicians in Too Much of a Rush?

UNESCO’s most recent report on technology in education highlighted a correlation between excessive mobile phone use and reduced educational performance and emotional stability.

The OECD report “Empowering Young Children in the Digital Age,” rightly suggested there is a need to improve protection in digital environments, bridge the digital divide, and educate parents and teachers on safe digital practices.

But Dr. Mansfield said, “Currently, policy implementation is racing far ahead of the evidence, with similar suggestions to ban smartphones in schools in the United Kingdom and Canada. However, there is no available evidence on the long-term benefits of banning smartphones. Much of the research behind the OECD and UNESCO policies is observational in nature, which limits causal interpretation more than with interventions.”

While most governments are not pursuing restrictive practices, Dr. Metitieri said that “their approaches are based on their political ideology, often using moral panic as a means to rally support, showing their heartfelt commitment to defending against the invasions of digital technology ruining human civilizations.” 

Sakshi Ghai, PhD, Dr. Mansfield’s fellow postdoctoral researcher at Oxford University, reiterated Dr. Metitieri’s concerns, “Screen time as a concept has limitations, and policy guidance needs to be careful when drawing insights from such limited evidence. What do we mean by screen time? How can time spent on different activities be clearly delineated? An oversimplistic focus on screen time may overlook the nuances and complexity of digital media use.”
 

The Key Is the What and Where

Digital screens can be productive for children, such as when used for educational purposes, be it to join a class over Zoom or partake in extracurricular educational activities. However, Dr. Ghai emphasized the importance of identifying what constitutes reasonable consumption of digital media. “Screens can help disadvantaged children achieve positive educational outcomes, particularly those with learning difficulties,” said Dr. Ghai. “Using media to interact with other children can also bring positive social connections to racially diverse children or those from the LGBTQ community, which reiterates why finding the balance that allows children to reap the benefits of digital technology while safeguarding their mental, physical, and social health, is crucial.”

On the other hand, Dr. Metitieri explained that there is evidence that passive exposure to educational content does not necessarily lead to growth benefits. “The key is the relational environment in which these digital experiences occur,” she said. 

Dr. Mansfield said a lot of research describes excessive use of digital media as a form of addiction. “Some studies have attempted to validate and test ‘smartphone addiction’ scales for adolescent. Besides pathologizing an increasingly common activity, such self-report scales are highly subjective, implying serious limitations when attempting to define ‘cut offs’ or diagnostic thresholds.”

Previous efforts to determine benchmarks for screen time usage, focusing on the relationship between historical screen usage and present mental well-being, have overlooked the nature of the digital interaction and the social and technological backdrop. “Effects of screen time on children is a continuously changing, rapidly developing research field, and other contextual factors have been shown to play a greater role on mental health,” explained Dr. Mansfield.
 

Are School Bans Too Restrictive?

Implementing nationwide policies that warrant a dramatic shift in how we approach activities that have become second nature, such as using a mobile phone, is profoundly difficult, particularly as evidence is inconclusive and inconsistent. “The long-term effects of different types of digital content on children’s learning are yet to be clear, and most education-related research so far has been carried out with college students,” said Dr. Mansfield.

For concerned parents and schools, Dr. Metitieri advised against overly restrictive approaches. “Children and adolescents can find ways around restrictions at home and school, meaning that an overly restrictive approach is limited in its effectiveness,” she said. “The best way to adapt to the changes happening in education, relationships, work, and leisure is through a combination of experiences offline and digital education.”

Mirroring Dr. Metitieri’s outlook, Dr. Mansfield suggested, “Restricting the use of smartphones and other personal devices is one method to reduce distraction, but ultimately, children will need to learn to optimize their use of digital devices.”

Recent Dutch media reports cited government ministers’ consultations with neuropsychiatrist Theo Compernolle, MD, PhD, who compared children’s current smartphone usage patterns to addiction and suggested that such habits may hinder the development of the prefrontal cortex. However, Dr. Mansfield said, “There is no evidence to back up this claim.” Although she acknowledged the potential short-term benefits of a screen time ban in enhancing classroom concentration, she said, “One study directly tested this hypothesis and found no association between social media use and brain development, meaning that any claims of long-term effects remain purely speculative.”

The issue of children’s screen time is complex. Understanding the content and context of screen time, educating parents and teachers, and integrating digital experiences with offline activities seem to be the way forward. While governments contend with the complexities of managing this rather modern challenge, the balance between digital engagement and cognitive development remains a critical topic for continued research and thoughtful policymaking. Dr. Metitieri summed it up, “As adult members of the digital society, it is important for us to educate ourselves on how to effectively use online platforms before sharing our experiences and concerns about the online world with children and adolescents.”

A version of this article appeared on Medscape.com.

France did it 5 years ago and now, from January 1, the Dutch have followed suit, banning devices such as mobile phones and tablets in classrooms unless needed during lessons, for medical reasons, or by students with disabilities. The ban aims to limit distractions during the school day. 

We could all surely do with some device detox, but the question remains whether too much screen time has an impact on child development. Karen Mansfield, PhD, a postdoctoral researcher on adolescent well-being in the digital age at Oxford University, told this news organization, “The evidence is definitely not set in stone. There have been some recent reviews of screen time effects on children, demonstrating very mixed findings.”

The latest research, said Dr. Mansfield, is still young, lacking consistency in findings, and rife with misinterpretation.

Tiziana Metitieri, a cognitive neuropsychologist at the Meyer Hospital in Florence, Italy, echoed these sentiments, suggesting that the sheer quantity of screen time is an insufficient metric for understanding its impact on cognitive and psychological development. “There are two main reasons for this,” she explained to this news organization. “Firstly, because the current measurements of screen time rely on self-report data, which can be affected by an overestimation or underestimation of objective usage due to social desirability bias. Secondly, because digital experiences differ in terms of content, device used, context, location, and individuals involved.”
 

Are Politicians in Too Much of a Rush?

UNESCO’s most recent report on technology in education highlighted a correlation between excessive mobile phone use and reduced educational performance and emotional stability.

The OECD report “Empowering Young Children in the Digital Age,” rightly suggested there is a need to improve protection in digital environments, bridge the digital divide, and educate parents and teachers on safe digital practices.

But Dr. Mansfield said, “Currently, policy implementation is racing far ahead of the evidence, with similar suggestions to ban smartphones in schools in the United Kingdom and Canada. However, there is no available evidence on the long-term benefits of banning smartphones. Much of the research behind the OECD and UNESCO policies is observational in nature, which limits causal interpretation more than with interventions.”

While most governments are not pursuing restrictive practices, Dr. Metitieri said that “their approaches are based on their political ideology, often using moral panic as a means to rally support, showing their heartfelt commitment to defending against the invasions of digital technology ruining human civilizations.” 

Sakshi Ghai, PhD, Dr. Mansfield’s fellow postdoctoral researcher at Oxford University, reiterated Dr. Metitieri’s concerns, “Screen time as a concept has limitations, and policy guidance needs to be careful when drawing insights from such limited evidence. What do we mean by screen time? How can time spent on different activities be clearly delineated? An oversimplistic focus on screen time may overlook the nuances and complexity of digital media use.”
 

The Key Is the What and Where

Digital screens can be productive for children, such as when used for educational purposes, be it to join a class over Zoom or partake in extracurricular educational activities. However, Dr. Ghai emphasized the importance of identifying what constitutes reasonable consumption of digital media. “Screens can help disadvantaged children achieve positive educational outcomes, particularly those with learning difficulties,” said Dr. Ghai. “Using media to interact with other children can also bring positive social connections to racially diverse children or those from the LGBTQ community, which reiterates why finding the balance that allows children to reap the benefits of digital technology while safeguarding their mental, physical, and social health, is crucial.”

On the other hand, Dr. Metitieri explained that there is evidence that passive exposure to educational content does not necessarily lead to growth benefits. “The key is the relational environment in which these digital experiences occur,” she said. 

Dr. Mansfield said a lot of research describes excessive use of digital media as a form of addiction. “Some studies have attempted to validate and test ‘smartphone addiction’ scales for adolescent. Besides pathologizing an increasingly common activity, such self-report scales are highly subjective, implying serious limitations when attempting to define ‘cut offs’ or diagnostic thresholds.”

Previous efforts to determine benchmarks for screen time usage, focusing on the relationship between historical screen usage and present mental well-being, have overlooked the nature of the digital interaction and the social and technological backdrop. “Effects of screen time on children is a continuously changing, rapidly developing research field, and other contextual factors have been shown to play a greater role on mental health,” explained Dr. Mansfield.
 

Are School Bans Too Restrictive?

Implementing nationwide policies that warrant a dramatic shift in how we approach activities that have become second nature, such as using a mobile phone, is profoundly difficult, particularly as evidence is inconclusive and inconsistent. “The long-term effects of different types of digital content on children’s learning are yet to be clear, and most education-related research so far has been carried out with college students,” said Dr. Mansfield.

For concerned parents and schools, Dr. Metitieri advised against overly restrictive approaches. “Children and adolescents can find ways around restrictions at home and school, meaning that an overly restrictive approach is limited in its effectiveness,” she said. “The best way to adapt to the changes happening in education, relationships, work, and leisure is through a combination of experiences offline and digital education.”

Mirroring Dr. Metitieri’s outlook, Dr. Mansfield suggested, “Restricting the use of smartphones and other personal devices is one method to reduce distraction, but ultimately, children will need to learn to optimize their use of digital devices.”

Recent Dutch media reports cited government ministers’ consultations with neuropsychiatrist Theo Compernolle, MD, PhD, who compared children’s current smartphone usage patterns to addiction and suggested that such habits may hinder the development of the prefrontal cortex. However, Dr. Mansfield said, “There is no evidence to back up this claim.” Although she acknowledged the potential short-term benefits of a screen time ban in enhancing classroom concentration, she said, “One study directly tested this hypothesis and found no association between social media use and brain development, meaning that any claims of long-term effects remain purely speculative.”

The issue of children’s screen time is complex. Understanding the content and context of screen time, educating parents and teachers, and integrating digital experiences with offline activities seem to be the way forward. While governments contend with the complexities of managing this rather modern challenge, the balance between digital engagement and cognitive development remains a critical topic for continued research and thoughtful policymaking. Dr. Metitieri summed it up, “As adult members of the digital society, it is important for us to educate ourselves on how to effectively use online platforms before sharing our experiences and concerns about the online world with children and adolescents.”

A version of this article appeared on Medscape.com.

France did it 5 years ago and now, from January 1, the Dutch have followed suit, banning devices such as mobile phones and tablets in classrooms unless needed during lessons, for medical reasons, or by students with disabilities. The ban aims to limit distractions during the school day. 

We could all surely do with some device detox, but the question remains whether too much screen time has an impact on child development. Karen Mansfield, PhD, a postdoctoral researcher on adolescent well-being in the digital age at Oxford University, told this news organization, “The evidence is definitely not set in stone. There have been some recent reviews of screen time effects on children, demonstrating very mixed findings.”

The latest research, said Dr. Mansfield, is still young, lacking consistency in findings, and rife with misinterpretation.

Tiziana Metitieri, a cognitive neuropsychologist at the Meyer Hospital in Florence, Italy, echoed these sentiments, suggesting that the sheer quantity of screen time is an insufficient metric for understanding its impact on cognitive and psychological development. “There are two main reasons for this,” she explained to this news organization. “Firstly, because the current measurements of screen time rely on self-report data, which can be affected by an overestimation or underestimation of objective usage due to social desirability bias. Secondly, because digital experiences differ in terms of content, device used, context, location, and individuals involved.”
 

Are Politicians in Too Much of a Rush?

UNESCO’s most recent report on technology in education highlighted a correlation between excessive mobile phone use and reduced educational performance and emotional stability.

The OECD report “Empowering Young Children in the Digital Age,” rightly suggested there is a need to improve protection in digital environments, bridge the digital divide, and educate parents and teachers on safe digital practices.

But Dr. Mansfield said, “Currently, policy implementation is racing far ahead of the evidence, with similar suggestions to ban smartphones in schools in the United Kingdom and Canada. However, there is no available evidence on the long-term benefits of banning smartphones. Much of the research behind the OECD and UNESCO policies is observational in nature, which limits causal interpretation more than with interventions.”

While most governments are not pursuing restrictive practices, Dr. Metitieri said that “their approaches are based on their political ideology, often using moral panic as a means to rally support, showing their heartfelt commitment to defending against the invasions of digital technology ruining human civilizations.” 

Sakshi Ghai, PhD, Dr. Mansfield’s fellow postdoctoral researcher at Oxford University, reiterated Dr. Metitieri’s concerns, “Screen time as a concept has limitations, and policy guidance needs to be careful when drawing insights from such limited evidence. What do we mean by screen time? How can time spent on different activities be clearly delineated? An oversimplistic focus on screen time may overlook the nuances and complexity of digital media use.”
 

The Key Is the What and Where

Digital screens can be productive for children, such as when used for educational purposes, be it to join a class over Zoom or partake in extracurricular educational activities. However, Dr. Ghai emphasized the importance of identifying what constitutes reasonable consumption of digital media. “Screens can help disadvantaged children achieve positive educational outcomes, particularly those with learning difficulties,” said Dr. Ghai. “Using media to interact with other children can also bring positive social connections to racially diverse children or those from the LGBTQ community, which reiterates why finding the balance that allows children to reap the benefits of digital technology while safeguarding their mental, physical, and social health, is crucial.”

On the other hand, Dr. Metitieri explained that there is evidence that passive exposure to educational content does not necessarily lead to growth benefits. “The key is the relational environment in which these digital experiences occur,” she said. 

Dr. Mansfield said a lot of research describes excessive use of digital media as a form of addiction. “Some studies have attempted to validate and test ‘smartphone addiction’ scales for adolescent. Besides pathologizing an increasingly common activity, such self-report scales are highly subjective, implying serious limitations when attempting to define ‘cut offs’ or diagnostic thresholds.”

Previous efforts to determine benchmarks for screen time usage, focusing on the relationship between historical screen usage and present mental well-being, have overlooked the nature of the digital interaction and the social and technological backdrop. “Effects of screen time on children is a continuously changing, rapidly developing research field, and other contextual factors have been shown to play a greater role on mental health,” explained Dr. Mansfield.
 

Are School Bans Too Restrictive?

Implementing nationwide policies that warrant a dramatic shift in how we approach activities that have become second nature, such as using a mobile phone, is profoundly difficult, particularly as evidence is inconclusive and inconsistent. “The long-term effects of different types of digital content on children’s learning are yet to be clear, and most education-related research so far has been carried out with college students,” said Dr. Mansfield.

For concerned parents and schools, Dr. Metitieri advised against overly restrictive approaches. “Children and adolescents can find ways around restrictions at home and school, meaning that an overly restrictive approach is limited in its effectiveness,” she said. “The best way to adapt to the changes happening in education, relationships, work, and leisure is through a combination of experiences offline and digital education.”

Mirroring Dr. Metitieri’s outlook, Dr. Mansfield suggested, “Restricting the use of smartphones and other personal devices is one method to reduce distraction, but ultimately, children will need to learn to optimize their use of digital devices.”

Recent Dutch media reports cited government ministers’ consultations with neuropsychiatrist Theo Compernolle, MD, PhD, who compared children’s current smartphone usage patterns to addiction and suggested that such habits may hinder the development of the prefrontal cortex. However, Dr. Mansfield said, “There is no evidence to back up this claim.” Although she acknowledged the potential short-term benefits of a screen time ban in enhancing classroom concentration, she said, “One study directly tested this hypothesis and found no association between social media use and brain development, meaning that any claims of long-term effects remain purely speculative.”

The issue of children’s screen time is complex. Understanding the content and context of screen time, educating parents and teachers, and integrating digital experiences with offline activities seem to be the way forward. While governments contend with the complexities of managing this rather modern challenge, the balance between digital engagement and cognitive development remains a critical topic for continued research and thoughtful policymaking. Dr. Metitieri summed it up, “As adult members of the digital society, it is important for us to educate ourselves on how to effectively use online platforms before sharing our experiences and concerns about the online world with children and adolescents.”

A version of this article appeared on Medscape.com.

Physicians groups on January 17 hailed a new federal rule requiring health insurers to streamline and disclose more information about their prior authorization processes, saying it will improve patient care and reduce doctors’ administrative burden.

Health insurers participating in federal programs, including Medicare Advantage and Medicaid, must now respond to expedited prior authorization requests within 72 hours and other requests within 7 days under the long-awaited final rule, released on January 17 by the Centers for Medicare & Medicaid Services (CMS). 

Insurers also must include their reasons for denying a prior authorization request and will be required to publicly release data on denial and approval rates for medical treatment. They’ll also need to give patients more information about their decisions to deny care. Insurers must comply with some of the rule’s provisions by January 2026 and others by January 2027. 

The final rule “is an important step forward” toward the Medical Group Management Association’s goal of reducing the overall volume of prior authorization requests, said Anders Gilberg, the group’s senior vice president for government affairs, in a statement. 

“Only then will medical groups find meaningful reprieve from these onerous, ill-intentioned administrative requirements that dangerously impede patient care,” Mr. Gilberg said.

Health insurers have long lobbied against increased regulation of prior authorization, arguing that it’s needed to rein in healthcare costs and prevent unnecessary treatment. 

“We appreciate CMS’s announcement of enforcement discretion that will permit plans to use one standard, rather than mixing and matching, to reduce costs and speed implementation,” said America’s Health Insurance Plans, an insurers’ lobbying group, in an unsigned statement. “However, we must remember that the CMS rule is only half the picture; the Office of the Coordinator for Health Information Technology (ONC) should swiftly require vendors to build electronic prior authorization capabilities into the electronic health record so that providers can do their part, or plans will build a bridge to nowhere.” 

The rule comes as health insurers have increasingly been criticized for onerous and time-consuming prior authorization procedures that physicians say unfairly delay or deny the medical treatment that their patients need. With federal legislation to rein in prior authorization overuse at a standstill, 30 states have introduced their own bills to address the problem. Regulators and lawsuits also have called attention to insurers’ increasing use of artificial intelligence and algorithms to deny claims without human review.

“Family physicians know firsthand how prior authorizations divert valuable time and resources away from direct patient care. We also know that these types of administrative requirements are driving physicians away from the workforce and worsening physician shortages,” said Steven P. Furr, MD, president of the American Academy of Family Physicians, in a statement praising the new rule. 

Jesse M. Ehrenfeld, MD, MPH, president of the American Medical Association, called the final rule “ a major win” for patients and physicians, adding that its requirements for health insurers to integrate their prior authorization procedures into physicians’ electronic health records systems will also help make “the current time-consuming, manual workflow” more efficient.

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

Physicians groups on January 17 hailed a new federal rule requiring health insurers to streamline and disclose more information about their prior authorization processes, saying it will improve patient care and reduce doctors’ administrative burden.

Health insurers participating in federal programs, including Medicare Advantage and Medicaid, must now respond to expedited prior authorization requests within 72 hours and other requests within 7 days under the long-awaited final rule, released on January 17 by the Centers for Medicare & Medicaid Services (CMS). 

Insurers also must include their reasons for denying a prior authorization request and will be required to publicly release data on denial and approval rates for medical treatment. They’ll also need to give patients more information about their decisions to deny care. Insurers must comply with some of the rule’s provisions by January 2026 and others by January 2027. 

The final rule “is an important step forward” toward the Medical Group Management Association’s goal of reducing the overall volume of prior authorization requests, said Anders Gilberg, the group’s senior vice president for government affairs, in a statement. 

“Only then will medical groups find meaningful reprieve from these onerous, ill-intentioned administrative requirements that dangerously impede patient care,” Mr. Gilberg said.

Health insurers have long lobbied against increased regulation of prior authorization, arguing that it’s needed to rein in healthcare costs and prevent unnecessary treatment. 

“We appreciate CMS’s announcement of enforcement discretion that will permit plans to use one standard, rather than mixing and matching, to reduce costs and speed implementation,” said America’s Health Insurance Plans, an insurers’ lobbying group, in an unsigned statement. “However, we must remember that the CMS rule is only half the picture; the Office of the Coordinator for Health Information Technology (ONC) should swiftly require vendors to build electronic prior authorization capabilities into the electronic health record so that providers can do their part, or plans will build a bridge to nowhere.” 

The rule comes as health insurers have increasingly been criticized for onerous and time-consuming prior authorization procedures that physicians say unfairly delay or deny the medical treatment that their patients need. With federal legislation to rein in prior authorization overuse at a standstill, 30 states have introduced their own bills to address the problem. Regulators and lawsuits also have called attention to insurers’ increasing use of artificial intelligence and algorithms to deny claims without human review.

“Family physicians know firsthand how prior authorizations divert valuable time and resources away from direct patient care. We also know that these types of administrative requirements are driving physicians away from the workforce and worsening physician shortages,” said Steven P. Furr, MD, president of the American Academy of Family Physicians, in a statement praising the new rule. 

Jesse M. Ehrenfeld, MD, MPH, president of the American Medical Association, called the final rule “ a major win” for patients and physicians, adding that its requirements for health insurers to integrate their prior authorization procedures into physicians’ electronic health records systems will also help make “the current time-consuming, manual workflow” more efficient.

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

Physicians groups on January 17 hailed a new federal rule requiring health insurers to streamline and disclose more information about their prior authorization processes, saying it will improve patient care and reduce doctors’ administrative burden.

Health insurers participating in federal programs, including Medicare Advantage and Medicaid, must now respond to expedited prior authorization requests within 72 hours and other requests within 7 days under the long-awaited final rule, released on January 17 by the Centers for Medicare & Medicaid Services (CMS). 

Insurers also must include their reasons for denying a prior authorization request and will be required to publicly release data on denial and approval rates for medical treatment. They’ll also need to give patients more information about their decisions to deny care. Insurers must comply with some of the rule’s provisions by January 2026 and others by January 2027. 

The final rule “is an important step forward” toward the Medical Group Management Association’s goal of reducing the overall volume of prior authorization requests, said Anders Gilberg, the group’s senior vice president for government affairs, in a statement. 

“Only then will medical groups find meaningful reprieve from these onerous, ill-intentioned administrative requirements that dangerously impede patient care,” Mr. Gilberg said.

Health insurers have long lobbied against increased regulation of prior authorization, arguing that it’s needed to rein in healthcare costs and prevent unnecessary treatment. 

“We appreciate CMS’s announcement of enforcement discretion that will permit plans to use one standard, rather than mixing and matching, to reduce costs and speed implementation,” said America’s Health Insurance Plans, an insurers’ lobbying group, in an unsigned statement. “However, we must remember that the CMS rule is only half the picture; the Office of the Coordinator for Health Information Technology (ONC) should swiftly require vendors to build electronic prior authorization capabilities into the electronic health record so that providers can do their part, or plans will build a bridge to nowhere.” 

The rule comes as health insurers have increasingly been criticized for onerous and time-consuming prior authorization procedures that physicians say unfairly delay or deny the medical treatment that their patients need. With federal legislation to rein in prior authorization overuse at a standstill, 30 states have introduced their own bills to address the problem. Regulators and lawsuits also have called attention to insurers’ increasing use of artificial intelligence and algorithms to deny claims without human review.

“Family physicians know firsthand how prior authorizations divert valuable time and resources away from direct patient care. We also know that these types of administrative requirements are driving physicians away from the workforce and worsening physician shortages,” said Steven P. Furr, MD, president of the American Academy of Family Physicians, in a statement praising the new rule. 

Jesse M. Ehrenfeld, MD, MPH, president of the American Medical Association, called the final rule “ a major win” for patients and physicians, adding that its requirements for health insurers to integrate their prior authorization procedures into physicians’ electronic health records systems will also help make “the current time-consuming, manual workflow” more efficient.

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

Investigators from the French Health and Medical Research Institute (INSERM), University of Bordeaux, and Charles Perrens Hospital, alongside their Canadian, British, and Swedish counterparts, have shown that attention-deficit/hyperactivity disorder (ADHD) or attention-deficit disorder without hyperactivity is linked with physical health problems. Cédric Galéra, MD, PhD, child and adolescent psychiatrist and epidemiologist at the Bordeaux Population Health Research Center (INSERM/University of Bordeaux) and the Charles Perrens Hospital, explained these findings to this news organization.
 

A Bilateral Association 

ADHD is a neurodevelopmental condition that develops in childhood and is characterized by high levels of inattention or agitation and impulsiveness. Some studies have revealed a link between ADHD and medical comorbidities, but these studies were carried out on small patient samples and were cross-sectional.

A new longitudinal study published in Lancet Child and Adolescent Health has shown a reciprocal link between ADHD and physical health problems. The researchers conducted statistical analyses to measure the links between ADHD symptoms and subsequent development of certain physical conditions and, conversely, between physical problems during childhood and subsequent development of ADHD symptoms.
 

Children From Quebec

The study was conducted by a team headed by Dr. Galéra in collaboration with teams from Britain, Sweden, and Canada. “We studied a Quebec-based cohort of 2000 children aged between 5 months and 17 years,” said Dr. Galéra.

“The researchers in Quebec sent interviewers to question parents at home. And once the children were able to answer for themselves, from adolescence, they were asked to answer the questions directly,” he added.

The children were assessed on the severity of their ADHD symptoms as well as their physical condition (general well-being, any conditions diagnosed, etc.).
 

Dental Caries, Excess Weight

“We were able to show links between ADHD in childhood and physical health problems in adolescence. There is a greater risk for dental caries, infections, injuries, wounds, sleep disorders, and excess weight.

“Accounting for socioeconomic status and mental health problems such as anxiety and depression or medical treatments, we observed that dental caries, wounds, excess weight, and restless legs syndrome were the conditions that cropped up time and time again,” said Dr. Galéra.

On the other hand, the researchers noted that certain physical health issues in childhood were linked with the onset of ADHD at a later stage. “We discovered that asthma in early childhood, injuries, sleep disturbances, epilepsy, and excess weight were associated with ADHD. Taking all above-referenced features into account, we were left with just wounds and injuries as well as restless legs syndrome as being linked to ADHD,” Dr. Galéra concluded.

For Dr. Galéra, the study illustrates the direction and timing of the links between physical problems and ADHD. “This reflects the link between physical and mental health. It’s important that all healthcare professionals be alert to this. Psychiatrists and mental health professionals must be vigilant about the physical health risks, and pediatricians and family physicians must be aware of the fact that children can present with physical conditions that will later be linked with ADHD. Each of them must be able to refer their young patients to their medical colleagues to ensure that these people receive the best care,” he emphasized.

The team will continue to study this cohort to see which problems emerge in adulthood. They also wish to study the Elfe cohort, a French longitudinal study of children.

This article was translated from the Medscape French edition. A version of this article appeared on Medscape.com.

Investigators from the French Health and Medical Research Institute (INSERM), University of Bordeaux, and Charles Perrens Hospital, alongside their Canadian, British, and Swedish counterparts, have shown that attention-deficit/hyperactivity disorder (ADHD) or attention-deficit disorder without hyperactivity is linked with physical health problems. Cédric Galéra, MD, PhD, child and adolescent psychiatrist and epidemiologist at the Bordeaux Population Health Research Center (INSERM/University of Bordeaux) and the Charles Perrens Hospital, explained these findings to this news organization.
 

A Bilateral Association 

ADHD is a neurodevelopmental condition that develops in childhood and is characterized by high levels of inattention or agitation and impulsiveness. Some studies have revealed a link between ADHD and medical comorbidities, but these studies were carried out on small patient samples and were cross-sectional.

A new longitudinal study published in Lancet Child and Adolescent Health has shown a reciprocal link between ADHD and physical health problems. The researchers conducted statistical analyses to measure the links between ADHD symptoms and subsequent development of certain physical conditions and, conversely, between physical problems during childhood and subsequent development of ADHD symptoms.
 

Children From Quebec

The study was conducted by a team headed by Dr. Galéra in collaboration with teams from Britain, Sweden, and Canada. “We studied a Quebec-based cohort of 2000 children aged between 5 months and 17 years,” said Dr. Galéra.

“The researchers in Quebec sent interviewers to question parents at home. And once the children were able to answer for themselves, from adolescence, they were asked to answer the questions directly,” he added.

The children were assessed on the severity of their ADHD symptoms as well as their physical condition (general well-being, any conditions diagnosed, etc.).
 

Dental Caries, Excess Weight

“We were able to show links between ADHD in childhood and physical health problems in adolescence. There is a greater risk for dental caries, infections, injuries, wounds, sleep disorders, and excess weight.

“Accounting for socioeconomic status and mental health problems such as anxiety and depression or medical treatments, we observed that dental caries, wounds, excess weight, and restless legs syndrome were the conditions that cropped up time and time again,” said Dr. Galéra.

On the other hand, the researchers noted that certain physical health issues in childhood were linked with the onset of ADHD at a later stage. “We discovered that asthma in early childhood, injuries, sleep disturbances, epilepsy, and excess weight were associated with ADHD. Taking all above-referenced features into account, we were left with just wounds and injuries as well as restless legs syndrome as being linked to ADHD,” Dr. Galéra concluded.

For Dr. Galéra, the study illustrates the direction and timing of the links between physical problems and ADHD. “This reflects the link between physical and mental health. It’s important that all healthcare professionals be alert to this. Psychiatrists and mental health professionals must be vigilant about the physical health risks, and pediatricians and family physicians must be aware of the fact that children can present with physical conditions that will later be linked with ADHD. Each of them must be able to refer their young patients to their medical colleagues to ensure that these people receive the best care,” he emphasized.

The team will continue to study this cohort to see which problems emerge in adulthood. They also wish to study the Elfe cohort, a French longitudinal study of children.

This article was translated from the Medscape French edition. A version of this article appeared on Medscape.com.

Investigators from the French Health and Medical Research Institute (INSERM), University of Bordeaux, and Charles Perrens Hospital, alongside their Canadian, British, and Swedish counterparts, have shown that attention-deficit/hyperactivity disorder (ADHD) or attention-deficit disorder without hyperactivity is linked with physical health problems. Cédric Galéra, MD, PhD, child and adolescent psychiatrist and epidemiologist at the Bordeaux Population Health Research Center (INSERM/University of Bordeaux) and the Charles Perrens Hospital, explained these findings to this news organization.
 

A Bilateral Association 

ADHD is a neurodevelopmental condition that develops in childhood and is characterized by high levels of inattention or agitation and impulsiveness. Some studies have revealed a link between ADHD and medical comorbidities, but these studies were carried out on small patient samples and were cross-sectional.

A new longitudinal study published in Lancet Child and Adolescent Health has shown a reciprocal link between ADHD and physical health problems. The researchers conducted statistical analyses to measure the links between ADHD symptoms and subsequent development of certain physical conditions and, conversely, between physical problems during childhood and subsequent development of ADHD symptoms.
 

Children From Quebec

The study was conducted by a team headed by Dr. Galéra in collaboration with teams from Britain, Sweden, and Canada. “We studied a Quebec-based cohort of 2000 children aged between 5 months and 17 years,” said Dr. Galéra.

“The researchers in Quebec sent interviewers to question parents at home. And once the children were able to answer for themselves, from adolescence, they were asked to answer the questions directly,” he added.

The children were assessed on the severity of their ADHD symptoms as well as their physical condition (general well-being, any conditions diagnosed, etc.).
 

Dental Caries, Excess Weight

“We were able to show links between ADHD in childhood and physical health problems in adolescence. There is a greater risk for dental caries, infections, injuries, wounds, sleep disorders, and excess weight.

“Accounting for socioeconomic status and mental health problems such as anxiety and depression or medical treatments, we observed that dental caries, wounds, excess weight, and restless legs syndrome were the conditions that cropped up time and time again,” said Dr. Galéra.

On the other hand, the researchers noted that certain physical health issues in childhood were linked with the onset of ADHD at a later stage. “We discovered that asthma in early childhood, injuries, sleep disturbances, epilepsy, and excess weight were associated with ADHD. Taking all above-referenced features into account, we were left with just wounds and injuries as well as restless legs syndrome as being linked to ADHD,” Dr. Galéra concluded.

For Dr. Galéra, the study illustrates the direction and timing of the links between physical problems and ADHD. “This reflects the link between physical and mental health. It’s important that all healthcare professionals be alert to this. Psychiatrists and mental health professionals must be vigilant about the physical health risks, and pediatricians and family physicians must be aware of the fact that children can present with physical conditions that will later be linked with ADHD. Each of them must be able to refer their young patients to their medical colleagues to ensure that these people receive the best care,” he emphasized.

The team will continue to study this cohort to see which problems emerge in adulthood. They also wish to study the Elfe cohort, a French longitudinal study of children.

This article was translated from the Medscape French edition. A version of this article appeared on Medscape.com.

ORLANDO — Experts shed light on the applications, benefits, and pitfalls of artificial intelligence (AI) during the Merrit-Putnam Symposium at the annual meeting of the American Epilepsy Society (AES).

In a session titled “Artificial Intelligence Fundamentals and Breakthrough Applications in Epilepsy,” University of Pittsburgh neurologist and assistant professor Wesley Kerr, MD, PhD, provided an overview of AI as well its applications in neurology. He began by addressing perhaps one of the most controversial topics regarding AI in the medical community: clinicians’ fear of being replaced by technology.

“Artificial intelligence will not replace clinicians, but clinicians assisted by artificial intelligence will replace clinicians without artificial intelligence,” he told the audience.
 

To Optimize AI, Clinicians Must Lay the Proper Foundation

Dr. Kerr’s presentation focused on providing audience members with tools to help them evaluate new technologies, recognize benefits, and identify key costs and limitations associated with AI implementation and integration into clinical practice.

Before delving deeper, one must first understand basic terminology regarding AI. Without this knowledge, clinicians may inadvertently introduce bias or errata or fail to understand how to best leverage the technology to enhance the quality of the practice while improving patient outcomes.

Machine learning (ML) describes the process of using data to learn a specific task. Deep learning (DL) stacks multiple layers of ML to improve performance on the task. Lastly, generative AI generates content such as text, images, and media.

Utilizing AI effectively in clinical applications involves tapping into select features most related to prediction (for example, disease factors) and grouping features into categories based on measuring commonalities such as factor composition in a population. This information should be used in training data only.

Fully understanding ML/AI allows clinicians to use it as a diagnostic test by exploiting a combination of accuracy, sensitivity, and specificity, along with positive and negative predictive values.
 

Data Fidelity and Integrity Hinge on Optimal Data Inputs

In the case of epilepsy, calibration curves can provide practical guidance in terms of predicting impending seizures.

“ML/AI needs gold-standard labels for evaluation,” Dr. Kerr said. He went on to stress the importance of quality data inputs to optimize the fidelity of AI’s predictive analytics.

“If you input garbage, you’ll get garbage out,” he said. “So a lot of garbage going in means a lot of garbage out.”

Such “garbage” can result in missed or erroneous diagnoses, or even faulty predictions. Even when the data are complete, AI can draw incorrect conclusions based on trends for which it lacks proper context.

Dr. Kerr used epilepsy trends in the Black population to illustrate this problem.

“One potential bias is that AI can figure out a patient is Black without being told, and based on data that Black patients are less likely to get epilepsy surgery,” he said, “AI would say they don’t need it because they’re Black, which isn’t true.”

In other words, ML/AI can use systematic determinants of health, such as race, to learn what Dr. Kerr referred to as an “inappropriate association.”

For that reason, ML/AI users must test for bias.

Such data are often retrieved from electronic health records (EHR), which serve as an important source of data ML/AI input. Using EHR makes sense, as they are a major source of missed potential in improving prompt treatment. According to Dr. Kerr, 20% of academic neurologists’ notes miss seizure frequency, and 30% miss the age of onset.

In addition, International Classification of Diseases (ICD) codes create another hurdle depending on the type of code used. For example, epilepsy with G40 or 2 codes of R56 is reliable, while focal to bilateral versus generalized epilepsy proves more challenging.
 

AI Improves Efficiency in National Language Generation

Large language models (LLM) look at first drafts and can save time on formatting, image selection, and construction. Perhaps ChatGPT is the most famous LLM, but other tools in this category include Open AI and Bard. LLMs are trained on “the whole internet” and use publicly accessible text.

In these cases, prompts serve as input data. Output data are predictions of the first and subsequent words.

Many users appreciate the foundation LLMs provide in terms of facilitating and collating research and summarizing ideas. The LLM-generated text actually serves as a first draft, saving users time on more clerical tasks such as formatting, image selection, and structure. Notwithstanding, these tools still require human supervision to screen for hallucinations or to add specialized content.

“LLMs are a great starting place to save time but are loaded with errors,” Dr. Kerr said.

Even if the tools could produce error-free content, ethics still come into play when using AI-generated content without any alterations. Any ML/AI that has not been modified or supervised is considered plagiarism.

Yet, interestingly enough, Dr. Kerr found that patients respond more positively to AI than physicians when interacting.

“Patients felt that AI was more sensitive and compassionate because it was longer-winded and humans are short,” he said. He went on to argue that AI might actually prove useful in helping physicians to improve the quality of their patient interactions.

Dr. Kerr left the audience with these key takeaways:

• ML/AI is just one type of clinical tool with benefits and limitations. The technology conveys the advantages of freeing up the clinician’s time to focus on more human-centered tasks, improving clinical decisions in challenging situations, and improving efficiency.
• However, healthcare systems should understand that ML/AI is not 100% foolproof, as the software’s knowledge is limited to its training exposure, and proper use requires supervision.

ORLANDO — Experts shed light on the applications, benefits, and pitfalls of artificial intelligence (AI) during the Merrit-Putnam Symposium at the annual meeting of the American Epilepsy Society (AES).

In a session titled “Artificial Intelligence Fundamentals and Breakthrough Applications in Epilepsy,” University of Pittsburgh neurologist and assistant professor Wesley Kerr, MD, PhD, provided an overview of AI as well its applications in neurology. He began by addressing perhaps one of the most controversial topics regarding AI in the medical community: clinicians’ fear of being replaced by technology.

“Artificial intelligence will not replace clinicians, but clinicians assisted by artificial intelligence will replace clinicians without artificial intelligence,” he told the audience.
 

To Optimize AI, Clinicians Must Lay the Proper Foundation

Dr. Kerr’s presentation focused on providing audience members with tools to help them evaluate new technologies, recognize benefits, and identify key costs and limitations associated with AI implementation and integration into clinical practice.

Before delving deeper, one must first understand basic terminology regarding AI. Without this knowledge, clinicians may inadvertently introduce bias or errata or fail to understand how to best leverage the technology to enhance the quality of the practice while improving patient outcomes.

Machine learning (ML) describes the process of using data to learn a specific task. Deep learning (DL) stacks multiple layers of ML to improve performance on the task. Lastly, generative AI generates content such as text, images, and media.

Utilizing AI effectively in clinical applications involves tapping into select features most related to prediction (for example, disease factors) and grouping features into categories based on measuring commonalities such as factor composition in a population. This information should be used in training data only.

Fully understanding ML/AI allows clinicians to use it as a diagnostic test by exploiting a combination of accuracy, sensitivity, and specificity, along with positive and negative predictive values.
 

Data Fidelity and Integrity Hinge on Optimal Data Inputs

In the case of epilepsy, calibration curves can provide practical guidance in terms of predicting impending seizures.

“ML/AI needs gold-standard labels for evaluation,” Dr. Kerr said. He went on to stress the importance of quality data inputs to optimize the fidelity of AI’s predictive analytics.

“If you input garbage, you’ll get garbage out,” he said. “So a lot of garbage going in means a lot of garbage out.”

Such “garbage” can result in missed or erroneous diagnoses, or even faulty predictions. Even when the data are complete, AI can draw incorrect conclusions based on trends for which it lacks proper context.

Dr. Kerr used epilepsy trends in the Black population to illustrate this problem.

“One potential bias is that AI can figure out a patient is Black without being told, and based on data that Black patients are less likely to get epilepsy surgery,” he said, “AI would say they don’t need it because they’re Black, which isn’t true.”

In other words, ML/AI can use systematic determinants of health, such as race, to learn what Dr. Kerr referred to as an “inappropriate association.”

For that reason, ML/AI users must test for bias.

Such data are often retrieved from electronic health records (EHR), which serve as an important source of data ML/AI input. Using EHR makes sense, as they are a major source of missed potential in improving prompt treatment. According to Dr. Kerr, 20% of academic neurologists’ notes miss seizure frequency, and 30% miss the age of onset.

In addition, International Classification of Diseases (ICD) codes create another hurdle depending on the type of code used. For example, epilepsy with G40 or 2 codes of R56 is reliable, while focal to bilateral versus generalized epilepsy proves more challenging.
 

AI Improves Efficiency in National Language Generation

Large language models (LLM) look at first drafts and can save time on formatting, image selection, and construction. Perhaps ChatGPT is the most famous LLM, but other tools in this category include Open AI and Bard. LLMs are trained on “the whole internet” and use publicly accessible text.

In these cases, prompts serve as input data. Output data are predictions of the first and subsequent words.

Many users appreciate the foundation LLMs provide in terms of facilitating and collating research and summarizing ideas. The LLM-generated text actually serves as a first draft, saving users time on more clerical tasks such as formatting, image selection, and structure. Notwithstanding, these tools still require human supervision to screen for hallucinations or to add specialized content.

“LLMs are a great starting place to save time but are loaded with errors,” Dr. Kerr said.

Even if the tools could produce error-free content, ethics still come into play when using AI-generated content without any alterations. Any ML/AI that has not been modified or supervised is considered plagiarism.

Yet, interestingly enough, Dr. Kerr found that patients respond more positively to AI than physicians when interacting.

“Patients felt that AI was more sensitive and compassionate because it was longer-winded and humans are short,” he said. He went on to argue that AI might actually prove useful in helping physicians to improve the quality of their patient interactions.

Dr. Kerr left the audience with these key takeaways:

• ML/AI is just one type of clinical tool with benefits and limitations. The technology conveys the advantages of freeing up the clinician’s time to focus on more human-centered tasks, improving clinical decisions in challenging situations, and improving efficiency.
• However, healthcare systems should understand that ML/AI is not 100% foolproof, as the software’s knowledge is limited to its training exposure, and proper use requires supervision.

ORLANDO — Experts shed light on the applications, benefits, and pitfalls of artificial intelligence (AI) during the Merrit-Putnam Symposium at the annual meeting of the American Epilepsy Society (AES).

In a session titled “Artificial Intelligence Fundamentals and Breakthrough Applications in Epilepsy,” University of Pittsburgh neurologist and assistant professor Wesley Kerr, MD, PhD, provided an overview of AI as well its applications in neurology. He began by addressing perhaps one of the most controversial topics regarding AI in the medical community: clinicians’ fear of being replaced by technology.

“Artificial intelligence will not replace clinicians, but clinicians assisted by artificial intelligence will replace clinicians without artificial intelligence,” he told the audience.
 

To Optimize AI, Clinicians Must Lay the Proper Foundation

Dr. Kerr’s presentation focused on providing audience members with tools to help them evaluate new technologies, recognize benefits, and identify key costs and limitations associated with AI implementation and integration into clinical practice.

Before delving deeper, one must first understand basic terminology regarding AI. Without this knowledge, clinicians may inadvertently introduce bias or errata or fail to understand how to best leverage the technology to enhance the quality of the practice while improving patient outcomes.

Machine learning (ML) describes the process of using data to learn a specific task. Deep learning (DL) stacks multiple layers of ML to improve performance on the task. Lastly, generative AI generates content such as text, images, and media.

Utilizing AI effectively in clinical applications involves tapping into select features most related to prediction (for example, disease factors) and grouping features into categories based on measuring commonalities such as factor composition in a population. This information should be used in training data only.

Fully understanding ML/AI allows clinicians to use it as a diagnostic test by exploiting a combination of accuracy, sensitivity, and specificity, along with positive and negative predictive values.
 

Data Fidelity and Integrity Hinge on Optimal Data Inputs

In the case of epilepsy, calibration curves can provide practical guidance in terms of predicting impending seizures.

“ML/AI needs gold-standard labels for evaluation,” Dr. Kerr said. He went on to stress the importance of quality data inputs to optimize the fidelity of AI’s predictive analytics.

“If you input garbage, you’ll get garbage out,” he said. “So a lot of garbage going in means a lot of garbage out.”

Such “garbage” can result in missed or erroneous diagnoses, or even faulty predictions. Even when the data are complete, AI can draw incorrect conclusions based on trends for which it lacks proper context.

Dr. Kerr used epilepsy trends in the Black population to illustrate this problem.

“One potential bias is that AI can figure out a patient is Black without being told, and based on data that Black patients are less likely to get epilepsy surgery,” he said, “AI would say they don’t need it because they’re Black, which isn’t true.”

In other words, ML/AI can use systematic determinants of health, such as race, to learn what Dr. Kerr referred to as an “inappropriate association.”

For that reason, ML/AI users must test for bias.

Such data are often retrieved from electronic health records (EHR), which serve as an important source of data ML/AI input. Using EHR makes sense, as they are a major source of missed potential in improving prompt treatment. According to Dr. Kerr, 20% of academic neurologists’ notes miss seizure frequency, and 30% miss the age of onset.

In addition, International Classification of Diseases (ICD) codes create another hurdle depending on the type of code used. For example, epilepsy with G40 or 2 codes of R56 is reliable, while focal to bilateral versus generalized epilepsy proves more challenging.
 

AI Improves Efficiency in National Language Generation

Large language models (LLM) look at first drafts and can save time on formatting, image selection, and construction. Perhaps ChatGPT is the most famous LLM, but other tools in this category include Open AI and Bard. LLMs are trained on “the whole internet” and use publicly accessible text.

In these cases, prompts serve as input data. Output data are predictions of the first and subsequent words.

Many users appreciate the foundation LLMs provide in terms of facilitating and collating research and summarizing ideas. The LLM-generated text actually serves as a first draft, saving users time on more clerical tasks such as formatting, image selection, and structure. Notwithstanding, these tools still require human supervision to screen for hallucinations or to add specialized content.

“LLMs are a great starting place to save time but are loaded with errors,” Dr. Kerr said.

Even if the tools could produce error-free content, ethics still come into play when using AI-generated content without any alterations. Any ML/AI that has not been modified or supervised is considered plagiarism.

Yet, interestingly enough, Dr. Kerr found that patients respond more positively to AI than physicians when interacting.

“Patients felt that AI was more sensitive and compassionate because it was longer-winded and humans are short,” he said. He went on to argue that AI might actually prove useful in helping physicians to improve the quality of their patient interactions.

Dr. Kerr left the audience with these key takeaways:

• ML/AI is just one type of clinical tool with benefits and limitations. The technology conveys the advantages of freeing up the clinician’s time to focus on more human-centered tasks, improving clinical decisions in challenging situations, and improving efficiency.
• However, healthcare systems should understand that ML/AI is not 100% foolproof, as the software’s knowledge is limited to its training exposure, and proper use requires supervision.

A recent article in Cell & Bioscience suggested that regular coffee consumption can reduce the risk of COVID infections.

The study does make some interesting points about the benefits of coffee’s different polyphenols and antioxidants and their effects on different COVID variants. Most of it is based on lab data, although one section, using serum from coffee versus water drinkers, did find that it was more effective at inhibiting the virions. Caffeinated versus decaffeinated didn’t matter.

I’m not saying coffee doesn’t impair the virus. The data are worth looking at. But the majority of adults in North America, Europe, and pretty much the entire planet drink coffee on a regular basis. A large number of them still caught COVID. Would they have had worse cases if they didn’t drink coffee? Maybe, maybe not.

The problem here is that, as always, preliminary data like this get pushed into mass media, making it sound like “COFFEE CURES COVID!!!” Never mind that that’s not what the article said, but it sure gets clicks and retweets and FaceBook “likes.”

Suddenly fringe groups are claiming the coffee cure was there all along, and hidden from them by the evil government-pharma-medical cartel. Others claim the research is flawed because of this or that. The signal gets drowned out by the noise.

Definitely, food can be a medicine. Look at all the benefits proven of the Mediterranean diet. Coffee may help, especially if we can identify and isolate the specific components that reduce COVID risk. But, as they always say at the end, the study is preliminary and further research is needed.

Once or twice a year, an adult with epilepsy comes in, waving a copy of the ketogenic diet around and upset that I never tried it on them — again proof of the evil government-pharma-medical cartel that I’m in league with. I calm them down and explain the diet in detail. Maybe 50% of them decide to go ahead with it. In 25 years of practice, my record for an otherwise normal adult sticking with it is 5 days.

You don’t have to go too far back to remember Linus Pauling, an absolutely brilliant scientist, but not the best of nutritionists. With two Nobel prizes behind him, he took a stab at medicine in the 1970s, arguing that megadoses of vitamin C worked for the common cold. While it may be good for us, and certainly most people like orange juice, but those claims about the common cold never panned out. In fact, we’re no closer to curing it now than we were then.

Just because something seems promising in early studies doesn’t mean it will pan out. It might, but this doesn’t mean the “truth” is being maliciously hidden by an evil cartel. It just means we have (as always) more to learn.

I’ll still drink my single cup of coffee every weekday morning. I’m a creature of habit, and heaven knows I need the caffeine. If it also boosts my immune system, so much the better.

Besides, we still have that universal antimicrobial called chicken soup.
 

Dr. Block has a solo neurology practice in Scottsdale, Ariz.

A recent article in Cell & Bioscience suggested that regular coffee consumption can reduce the risk of COVID infections.

The study does make some interesting points about the benefits of coffee’s different polyphenols and antioxidants and their effects on different COVID variants. Most of it is based on lab data, although one section, using serum from coffee versus water drinkers, did find that it was more effective at inhibiting the virions. Caffeinated versus decaffeinated didn’t matter.

I’m not saying coffee doesn’t impair the virus. The data are worth looking at. But the majority of adults in North America, Europe, and pretty much the entire planet drink coffee on a regular basis. A large number of them still caught COVID. Would they have had worse cases if they didn’t drink coffee? Maybe, maybe not.

The problem here is that, as always, preliminary data like this get pushed into mass media, making it sound like “COFFEE CURES COVID!!!” Never mind that that’s not what the article said, but it sure gets clicks and retweets and FaceBook “likes.”

Suddenly fringe groups are claiming the coffee cure was there all along, and hidden from them by the evil government-pharma-medical cartel. Others claim the research is flawed because of this or that. The signal gets drowned out by the noise.

Definitely, food can be a medicine. Look at all the benefits proven of the Mediterranean diet. Coffee may help, especially if we can identify and isolate the specific components that reduce COVID risk. But, as they always say at the end, the study is preliminary and further research is needed.

Once or twice a year, an adult with epilepsy comes in, waving a copy of the ketogenic diet around and upset that I never tried it on them — again proof of the evil government-pharma-medical cartel that I’m in league with. I calm them down and explain the diet in detail. Maybe 50% of them decide to go ahead with it. In 25 years of practice, my record for an otherwise normal adult sticking with it is 5 days.

You don’t have to go too far back to remember Linus Pauling, an absolutely brilliant scientist, but not the best of nutritionists. With two Nobel prizes behind him, he took a stab at medicine in the 1970s, arguing that megadoses of vitamin C worked for the common cold. While it may be good for us, and certainly most people like orange juice, but those claims about the common cold never panned out. In fact, we’re no closer to curing it now than we were then.

Just because something seems promising in early studies doesn’t mean it will pan out. It might, but this doesn’t mean the “truth” is being maliciously hidden by an evil cartel. It just means we have (as always) more to learn.

I’ll still drink my single cup of coffee every weekday morning. I’m a creature of habit, and heaven knows I need the caffeine. If it also boosts my immune system, so much the better.

Besides, we still have that universal antimicrobial called chicken soup.
 

Dr. Block has a solo neurology practice in Scottsdale, Ariz.

A recent article in Cell & Bioscience suggested that regular coffee consumption can reduce the risk of COVID infections.

The study does make some interesting points about the benefits of coffee’s different polyphenols and antioxidants and their effects on different COVID variants. Most of it is based on lab data, although one section, using serum from coffee versus water drinkers, did find that it was more effective at inhibiting the virions. Caffeinated versus decaffeinated didn’t matter.

I’m not saying coffee doesn’t impair the virus. The data are worth looking at. But the majority of adults in North America, Europe, and pretty much the entire planet drink coffee on a regular basis. A large number of them still caught COVID. Would they have had worse cases if they didn’t drink coffee? Maybe, maybe not.

The problem here is that, as always, preliminary data like this get pushed into mass media, making it sound like “COFFEE CURES COVID!!!” Never mind that that’s not what the article said, but it sure gets clicks and retweets and FaceBook “likes.”

Suddenly fringe groups are claiming the coffee cure was there all along, and hidden from them by the evil government-pharma-medical cartel. Others claim the research is flawed because of this or that. The signal gets drowned out by the noise.

Definitely, food can be a medicine. Look at all the benefits proven of the Mediterranean diet. Coffee may help, especially if we can identify and isolate the specific components that reduce COVID risk. But, as they always say at the end, the study is preliminary and further research is needed.

Once or twice a year, an adult with epilepsy comes in, waving a copy of the ketogenic diet around and upset that I never tried it on them — again proof of the evil government-pharma-medical cartel that I’m in league with. I calm them down and explain the diet in detail. Maybe 50% of them decide to go ahead with it. In 25 years of practice, my record for an otherwise normal adult sticking with it is 5 days.

You don’t have to go too far back to remember Linus Pauling, an absolutely brilliant scientist, but not the best of nutritionists. With two Nobel prizes behind him, he took a stab at medicine in the 1970s, arguing that megadoses of vitamin C worked for the common cold. While it may be good for us, and certainly most people like orange juice, but those claims about the common cold never panned out. In fact, we’re no closer to curing it now than we were then.

Just because something seems promising in early studies doesn’t mean it will pan out. It might, but this doesn’t mean the “truth” is being maliciously hidden by an evil cartel. It just means we have (as always) more to learn.

I’ll still drink my single cup of coffee every weekday morning. I’m a creature of habit, and heaven knows I need the caffeine. If it also boosts my immune system, so much the better.

Besides, we still have that universal antimicrobial called chicken soup.
 

Dr. Block has a solo neurology practice in Scottsdale, Ariz.

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and fibromyalgia (FM) have overlapping neurologic symptoms — particularly profound fatigue. The similarity between these two conditions has led to the question of whether they are indeed distinct central nervous system (CNS) entities, or whether they exist along a spectrum and are actually two different manifestations of the same disease process.

A new study utilized a novel methodology — unbiased quantitative mass spectrometry-based proteomics — to investigate this question by analyzing cerebrospinal fluid (CSF) in a group of patients with ME/CFS and another group of patients diagnosed with both ME/CFS and FM.

Close to 2,100 proteins were identified, of which nearly 1,800 were common to both conditions.

“ME/CFS and fibromyalgia do not appear to be distinct entities, with respect to their cerebrospinal fluid proteins,” lead author Steven Schutzer, MD, professor of medicine, Rutgers New Jersey School of Medicine, told this news organization.

“Work is underway to solve the multiple mysteries of ME/CFS, fibromyalgia, and other neurologic-associated diseases,” he continued. “We have further affirmed that we have a precise objective discovery tool in our hands. Collectively studying multiple diseases brings clarity to each individual disease.”

The study was published in the December 2023 issue of Annals of Medicine.
 

Cutting-Edge Technology

“ME/CFS is characterized by disabling fatigue, and FM is an illness characterized by body-wide pain,” Dr. Schutzer said. These “medically unexplained” illnesses often coexist by current definitions, and the overlap between them has suggested that they may be part of the “same illness spectrum.”

But co-investigator Benjamin Natelson, MD, professor of neurology and director of the Pain and Fatigue Study Center, Mount Sinai, New York, and others found in previous research that there are distinct differences between the conditions, raising the possibility that there may be different pathophysiological processes.

“The physicians and scientists on our team have had longstanding interest in studying neurologic diseases with cutting-edge tools such as mass spectrometry applied to CSF,” Dr. Schutzer said. “We have had success using this message to distinguish diseases such as ME/CFS from post-treatment Lyme disease, multiple sclerosis, and healthy normal people.”

Dr. Schutzer explained that Dr. Natelson had acquired CSF samples from “well-characterized [ME/CFS] patients and controls.”

Since the cause of ME/CFS is “unknown,” it seemed “ripe to investigate it further with the discovery tool of mass spectrometry” by harnessing the “most advanced equipment in the country at the pacific Northwest National Laboratory, which is part of the US Department of Energy.”

Dr. Schutzer noted that it was the “merger of different clinical and laboratory expertise” that enabled them to address whether ME/CFS and FM are two distinct disease processes.

The choice of analyzing CSF is that it’s the fluid closest to the brain, he added. “A lot of people have studied ME/CFS peripherally because they don’t have access to spinal fluid or it’s easier to look peripherally in the blood, but that doesn’t mean that the blood is where the real ‘action’ is occurring.”

The researchers compared the CSF of 15 patients with ME/CFS only to 15 patients with ME/CFS+FM using mass spectrometry-based proteomics, which they had employed in previous research to see whether ME/CFS was distinct from persistent neurologic Lyme disease syndrome.

This technology has become the “method of choice and discovery tool to rapidly uncover protein biomarkers that can distinguish one disease from another,” the authors stated.

In particular, in unbiased quantitative mass spectrometry-based proteomics, the researchers do not have to know in advance what’s in a sample before studying it, Dr. Schutzer explained.
 

Shared Pathophysiology?

Both groups of patients were of similar age (41.3 ± 9.4 years and 40.1 ± 11.0 years, respectively), with no differences in gender or rates of current comorbid psychiatric diagnoses between the groups.

The researchers quantified a total of 2,083 proteins, including 1,789 that were specifically quantified in all of the CSF samples, regardless of the presence or absence of FM.

Several analyses (including an ANOVA analysis with adjusted P values, a Random Forest machine learning approach that looked at relative protein abundance changes between those with ME/CFS and ME/CFS+FM, and unsupervised hierarchical clustering analyses) did not find distinguishing differences between the groups.

“The sum of these results does not support the hypothesis that ME/CFS and ME/CFS+FM are distinct entities, as currently defined,” the authors stated.

They noted that both conditions are “medically unexplained,” with core symptoms of pain, fatigue, sleep problems, and cognitive difficulty. The fact that these two syndromes coexist so often has led to the assumption that the “similarities between them outweigh the differences,” they wrote.

They pointed to some differences between the conditions, including an increase in substance P in the CSF of FM patients, but not in ME/CFS patients reported by others. There are also some immunological, physiological and genetic differences.

But if the conclusion that the two illnesses may share a similar pathophysiological basis is supported by other research that includes FM-only patients as comparators to those with ME/CFS, “this would support the notion that the two illnesses fall along a common illness spectrum and may be approached as a single entity — with implications for both diagnosis and the development of new treatment approaches,” they concluded.
 

‘Noncontributory’ Findings

Commenting on the research, Robert G. Lahita, MD, PhD, director of the Institute for Autoimmune and Rheumatic Diseases, St. Joseph Health, Wayne, New Jersey, stated that he does not regard these diseases as neurologic but rather as rheumatologic.

“Most neurologists don’t see these diseases, but as a rheumatologist, I see them every day,” said Dr. Lahita, professor of medicine at Hackensack (New Jersey) Meridian School of Medicine and a clinical professor of medicine at Rutgers New Jersey Medical School, New Brunswick. “ME/CFS isn’t as common in my practice, but we do deal with many post-COVID patients who are afflicted mostly with ME/CFS.”

He noted that an important reason for fatigue in FM is that patients generally don’t sleep, or their sleep is disrupted. This is different from the cause of fatigue in ME/CFS.

In addition, the small sample size and the lack of difference between males and females were both limitations of the current study, said Dr. Lahita, who was not involved in this research. “We know that FM disproportionately affects women — in my practice, for example, over 95% of the patients with FM are female — while ME/CFS affects both genders similarly.”

Using proteomics as a biomarker was also problematic, according to Dr. Lahita. “It would have been more valuable to investigate differences in cytokines, for example,” he suggested.

Ultimately, Dr. Lahita thinks that the study is “non-contributory to the field and, as complex as the analysis was, it does nothing to shed differentiate the two conditions or explain the syndromes themselves.”

He added that it would have been more valuable to compare ME/CFS not only to ME/CFS plus FM but also with FM without ME/CFS and to healthy controls, and perhaps to a group with an autoimmune condition, such as lupus or Hashimoto’s thyroiditis.

Dr. Schutzer acknowledged that a limitation of the current study is that his team was unable analyze the CSF of patients with only FM. He and his colleagues “combed the world’s labs” for existing CSF samples of patients with FM alone but were unable to obtain any. “We see this study as a ‘stepping stone’ and hope that future studies will include patients with FM who are willing to donate CSF samples that we can use for comparison,” he said.

The authors received support from the National Institutes of Health, National Institute of Allergy and Infectious Diseases, and National Institute of Neurological Disorders and Stroke. Dr. Schutzer, coauthors, and Dr. Lahita reported no relevant financial relationships.

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and fibromyalgia (FM) have overlapping neurologic symptoms — particularly profound fatigue. The similarity between these two conditions has led to the question of whether they are indeed distinct central nervous system (CNS) entities, or whether they exist along a spectrum and are actually two different manifestations of the same disease process.

A new study utilized a novel methodology — unbiased quantitative mass spectrometry-based proteomics — to investigate this question by analyzing cerebrospinal fluid (CSF) in a group of patients with ME/CFS and another group of patients diagnosed with both ME/CFS and FM.

Close to 2,100 proteins were identified, of which nearly 1,800 were common to both conditions.

“ME/CFS and fibromyalgia do not appear to be distinct entities, with respect to their cerebrospinal fluid proteins,” lead author Steven Schutzer, MD, professor of medicine, Rutgers New Jersey School of Medicine, told this news organization.

“Work is underway to solve the multiple mysteries of ME/CFS, fibromyalgia, and other neurologic-associated diseases,” he continued. “We have further affirmed that we have a precise objective discovery tool in our hands. Collectively studying multiple diseases brings clarity to each individual disease.”

The study was published in the December 2023 issue of Annals of Medicine.
 

Cutting-Edge Technology

“ME/CFS is characterized by disabling fatigue, and FM is an illness characterized by body-wide pain,” Dr. Schutzer said. These “medically unexplained” illnesses often coexist by current definitions, and the overlap between them has suggested that they may be part of the “same illness spectrum.”

But co-investigator Benjamin Natelson, MD, professor of neurology and director of the Pain and Fatigue Study Center, Mount Sinai, New York, and others found in previous research that there are distinct differences between the conditions, raising the possibility that there may be different pathophysiological processes.

“The physicians and scientists on our team have had longstanding interest in studying neurologic diseases with cutting-edge tools such as mass spectrometry applied to CSF,” Dr. Schutzer said. “We have had success using this message to distinguish diseases such as ME/CFS from post-treatment Lyme disease, multiple sclerosis, and healthy normal people.”

Dr. Schutzer explained that Dr. Natelson had acquired CSF samples from “well-characterized [ME/CFS] patients and controls.”

Since the cause of ME/CFS is “unknown,” it seemed “ripe to investigate it further with the discovery tool of mass spectrometry” by harnessing the “most advanced equipment in the country at the pacific Northwest National Laboratory, which is part of the US Department of Energy.”

Dr. Schutzer noted that it was the “merger of different clinical and laboratory expertise” that enabled them to address whether ME/CFS and FM are two distinct disease processes.

The choice of analyzing CSF is that it’s the fluid closest to the brain, he added. “A lot of people have studied ME/CFS peripherally because they don’t have access to spinal fluid or it’s easier to look peripherally in the blood, but that doesn’t mean that the blood is where the real ‘action’ is occurring.”

The researchers compared the CSF of 15 patients with ME/CFS only to 15 patients with ME/CFS+FM using mass spectrometry-based proteomics, which they had employed in previous research to see whether ME/CFS was distinct from persistent neurologic Lyme disease syndrome.

This technology has become the “method of choice and discovery tool to rapidly uncover protein biomarkers that can distinguish one disease from another,” the authors stated.

In particular, in unbiased quantitative mass spectrometry-based proteomics, the researchers do not have to know in advance what’s in a sample before studying it, Dr. Schutzer explained.
 

Shared Pathophysiology?

Both groups of patients were of similar age (41.3 ± 9.4 years and 40.1 ± 11.0 years, respectively), with no differences in gender or rates of current comorbid psychiatric diagnoses between the groups.

The researchers quantified a total of 2,083 proteins, including 1,789 that were specifically quantified in all of the CSF samples, regardless of the presence or absence of FM.

Several analyses (including an ANOVA analysis with adjusted P values, a Random Forest machine learning approach that looked at relative protein abundance changes between those with ME/CFS and ME/CFS+FM, and unsupervised hierarchical clustering analyses) did not find distinguishing differences between the groups.

“The sum of these results does not support the hypothesis that ME/CFS and ME/CFS+FM are distinct entities, as currently defined,” the authors stated.

They noted that both conditions are “medically unexplained,” with core symptoms of pain, fatigue, sleep problems, and cognitive difficulty. The fact that these two syndromes coexist so often has led to the assumption that the “similarities between them outweigh the differences,” they wrote.

They pointed to some differences between the conditions, including an increase in substance P in the CSF of FM patients, but not in ME/CFS patients reported by others. There are also some immunological, physiological and genetic differences.

But if the conclusion that the two illnesses may share a similar pathophysiological basis is supported by other research that includes FM-only patients as comparators to those with ME/CFS, “this would support the notion that the two illnesses fall along a common illness spectrum and may be approached as a single entity — with implications for both diagnosis and the development of new treatment approaches,” they concluded.
 

‘Noncontributory’ Findings

Commenting on the research, Robert G. Lahita, MD, PhD, director of the Institute for Autoimmune and Rheumatic Diseases, St. Joseph Health, Wayne, New Jersey, stated that he does not regard these diseases as neurologic but rather as rheumatologic.

“Most neurologists don’t see these diseases, but as a rheumatologist, I see them every day,” said Dr. Lahita, professor of medicine at Hackensack (New Jersey) Meridian School of Medicine and a clinical professor of medicine at Rutgers New Jersey Medical School, New Brunswick. “ME/CFS isn’t as common in my practice, but we do deal with many post-COVID patients who are afflicted mostly with ME/CFS.”

He noted that an important reason for fatigue in FM is that patients generally don’t sleep, or their sleep is disrupted. This is different from the cause of fatigue in ME/CFS.

In addition, the small sample size and the lack of difference between males and females were both limitations of the current study, said Dr. Lahita, who was not involved in this research. “We know that FM disproportionately affects women — in my practice, for example, over 95% of the patients with FM are female — while ME/CFS affects both genders similarly.”

Using proteomics as a biomarker was also problematic, according to Dr. Lahita. “It would have been more valuable to investigate differences in cytokines, for example,” he suggested.

Ultimately, Dr. Lahita thinks that the study is “non-contributory to the field and, as complex as the analysis was, it does nothing to shed differentiate the two conditions or explain the syndromes themselves.”

He added that it would have been more valuable to compare ME/CFS not only to ME/CFS plus FM but also with FM without ME/CFS and to healthy controls, and perhaps to a group with an autoimmune condition, such as lupus or Hashimoto’s thyroiditis.

Dr. Schutzer acknowledged that a limitation of the current study is that his team was unable analyze the CSF of patients with only FM. He and his colleagues “combed the world’s labs” for existing CSF samples of patients with FM alone but were unable to obtain any. “We see this study as a ‘stepping stone’ and hope that future studies will include patients with FM who are willing to donate CSF samples that we can use for comparison,” he said.

The authors received support from the National Institutes of Health, National Institute of Allergy and Infectious Diseases, and National Institute of Neurological Disorders and Stroke. Dr. Schutzer, coauthors, and Dr. Lahita reported no relevant financial relationships.

Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and fibromyalgia (FM) have overlapping neurologic symptoms — particularly profound fatigue. The similarity between these two conditions has led to the question of whether they are indeed distinct central nervous system (CNS) entities, or whether they exist along a spectrum and are actually two different manifestations of the same disease process.

A new study utilized a novel methodology — unbiased quantitative mass spectrometry-based proteomics — to investigate this question by analyzing cerebrospinal fluid (CSF) in a group of patients with ME/CFS and another group of patients diagnosed with both ME/CFS and FM.

Close to 2,100 proteins were identified, of which nearly 1,800 were common to both conditions.

“ME/CFS and fibromyalgia do not appear to be distinct entities, with respect to their cerebrospinal fluid proteins,” lead author Steven Schutzer, MD, professor of medicine, Rutgers New Jersey School of Medicine, told this news organization.

“Work is underway to solve the multiple mysteries of ME/CFS, fibromyalgia, and other neurologic-associated diseases,” he continued. “We have further affirmed that we have a precise objective discovery tool in our hands. Collectively studying multiple diseases brings clarity to each individual disease.”

The study was published in the December 2023 issue of Annals of Medicine.
 

Cutting-Edge Technology

“ME/CFS is characterized by disabling fatigue, and FM is an illness characterized by body-wide pain,” Dr. Schutzer said. These “medically unexplained” illnesses often coexist by current definitions, and the overlap between them has suggested that they may be part of the “same illness spectrum.”

But co-investigator Benjamin Natelson, MD, professor of neurology and director of the Pain and Fatigue Study Center, Mount Sinai, New York, and others found in previous research that there are distinct differences between the conditions, raising the possibility that there may be different pathophysiological processes.

“The physicians and scientists on our team have had longstanding interest in studying neurologic diseases with cutting-edge tools such as mass spectrometry applied to CSF,” Dr. Schutzer said. “We have had success using this message to distinguish diseases such as ME/CFS from post-treatment Lyme disease, multiple sclerosis, and healthy normal people.”

Dr. Schutzer explained that Dr. Natelson had acquired CSF samples from “well-characterized [ME/CFS] patients and controls.”

Since the cause of ME/CFS is “unknown,” it seemed “ripe to investigate it further with the discovery tool of mass spectrometry” by harnessing the “most advanced equipment in the country at the pacific Northwest National Laboratory, which is part of the US Department of Energy.”

Dr. Schutzer noted that it was the “merger of different clinical and laboratory expertise” that enabled them to address whether ME/CFS and FM are two distinct disease processes.

The choice of analyzing CSF is that it’s the fluid closest to the brain, he added. “A lot of people have studied ME/CFS peripherally because they don’t have access to spinal fluid or it’s easier to look peripherally in the blood, but that doesn’t mean that the blood is where the real ‘action’ is occurring.”

The researchers compared the CSF of 15 patients with ME/CFS only to 15 patients with ME/CFS+FM using mass spectrometry-based proteomics, which they had employed in previous research to see whether ME/CFS was distinct from persistent neurologic Lyme disease syndrome.

This technology has become the “method of choice and discovery tool to rapidly uncover protein biomarkers that can distinguish one disease from another,” the authors stated.

In particular, in unbiased quantitative mass spectrometry-based proteomics, the researchers do not have to know in advance what’s in a sample before studying it, Dr. Schutzer explained.
 

Shared Pathophysiology?

Both groups of patients were of similar age (41.3 ± 9.4 years and 40.1 ± 11.0 years, respectively), with no differences in gender or rates of current comorbid psychiatric diagnoses between the groups.

The researchers quantified a total of 2,083 proteins, including 1,789 that were specifically quantified in all of the CSF samples, regardless of the presence or absence of FM.

Several analyses (including an ANOVA analysis with adjusted P values, a Random Forest machine learning approach that looked at relative protein abundance changes between those with ME/CFS and ME/CFS+FM, and unsupervised hierarchical clustering analyses) did not find distinguishing differences between the groups.

“The sum of these results does not support the hypothesis that ME/CFS and ME/CFS+FM are distinct entities, as currently defined,” the authors stated.

They noted that both conditions are “medically unexplained,” with core symptoms of pain, fatigue, sleep problems, and cognitive difficulty. The fact that these two syndromes coexist so often has led to the assumption that the “similarities between them outweigh the differences,” they wrote.

They pointed to some differences between the conditions, including an increase in substance P in the CSF of FM patients, but not in ME/CFS patients reported by others. There are also some immunological, physiological and genetic differences.

But if the conclusion that the two illnesses may share a similar pathophysiological basis is supported by other research that includes FM-only patients as comparators to those with ME/CFS, “this would support the notion that the two illnesses fall along a common illness spectrum and may be approached as a single entity — with implications for both diagnosis and the development of new treatment approaches,” they concluded.
 

‘Noncontributory’ Findings

Commenting on the research, Robert G. Lahita, MD, PhD, director of the Institute for Autoimmune and Rheumatic Diseases, St. Joseph Health, Wayne, New Jersey, stated that he does not regard these diseases as neurologic but rather as rheumatologic.

“Most neurologists don’t see these diseases, but as a rheumatologist, I see them every day,” said Dr. Lahita, professor of medicine at Hackensack (New Jersey) Meridian School of Medicine and a clinical professor of medicine at Rutgers New Jersey Medical School, New Brunswick. “ME/CFS isn’t as common in my practice, but we do deal with many post-COVID patients who are afflicted mostly with ME/CFS.”

He noted that an important reason for fatigue in FM is that patients generally don’t sleep, or their sleep is disrupted. This is different from the cause of fatigue in ME/CFS.

In addition, the small sample size and the lack of difference between males and females were both limitations of the current study, said Dr. Lahita, who was not involved in this research. “We know that FM disproportionately affects women — in my practice, for example, over 95% of the patients with FM are female — while ME/CFS affects both genders similarly.”

Using proteomics as a biomarker was also problematic, according to Dr. Lahita. “It would have been more valuable to investigate differences in cytokines, for example,” he suggested.

Ultimately, Dr. Lahita thinks that the study is “non-contributory to the field and, as complex as the analysis was, it does nothing to shed differentiate the two conditions or explain the syndromes themselves.”

He added that it would have been more valuable to compare ME/CFS not only to ME/CFS plus FM but also with FM without ME/CFS and to healthy controls, and perhaps to a group with an autoimmune condition, such as lupus or Hashimoto’s thyroiditis.

Dr. Schutzer acknowledged that a limitation of the current study is that his team was unable analyze the CSF of patients with only FM. He and his colleagues “combed the world’s labs” for existing CSF samples of patients with FM alone but were unable to obtain any. “We see this study as a ‘stepping stone’ and hope that future studies will include patients with FM who are willing to donate CSF samples that we can use for comparison,” he said.

The authors received support from the National Institutes of Health, National Institute of Allergy and Infectious Diseases, and National Institute of Neurological Disorders and Stroke. Dr. Schutzer, coauthors, and Dr. Lahita reported no relevant financial relationships.

Women with autoimmune disease are more likely to have perinatal depression (PND), according to findings from a new study that also suggested the reverse relationship is true: Women with a history of PND have a higher risk of developing autoimmune disease.

The research, published online on January 9, 2024, in Molecular Psychiatry, was led by Emma Bränn, PhD, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden.

The researchers used data from the Swedish Medical Birth Register and identified all women who had given birth in Sweden between 2001 and 2013. Out of the group of approximately 815,000 women and 1.3 million pregnancies, just more than 55,000 women had been diagnosed with depression during their pregnancy or within a year after delivery.

The researchers then compared the incidence of 41 autoimmune diseases in women who had and did not have PND. They controlled for factors including genetic makeup and childhood environment.

Results indicated that women with autoimmune disease were 30% more likely to have PND (odds ratio, 1.30; 95% CI, 1.25-1.35). Conversely, women with PND were 30% more likely than women with no PND to develop an autoimmune disease (hazard ratio, 1.30; 95% CI, 1.25-1.36).

A sibling comparison helped confirm the results by controlling for some shared genetic and early life environmental factors related to the household in which sisters grew up.
 

Potential Shared Biological Mechanisms

The association was independent of psychiatric comorbidities, suggesting there may be shared biological mechanisms.

Dr. Bränn told this news organization that the research team wanted to do the study because previous research has shown involvement of the immune system in depression, with similarities in both the symptoms of immune system–activated diseases and depression and the molecular pathways activated by the immune system.

“Adding on top of the tremendous changes in the immune system that we see in the body of the woman during the perinatal period, we hypothesized that autoimmune diseases could be associated to perinatal depression,” she said. “This had also been shown in some previous literature but not to the extent as what we have investigated in this paper.”

She said their results help make a case for counseling women at several points in healthcare interactions — before and after conception and childbirth — and in rheumatology visits to inform women with autoimmune diseases who are contemplating motherhood of the association with developing PND. The results may also demonstrate a need for monitoring women in these groups for depression or autoimmune disease.

Fred Miller, MD, PhD, retired Scientist Emeritus of the Environmental Autoimmunity Group at the National Institute of Environmental Health Sciences, who was not part of the study, said the results seem plausible as they build on early work that demonstrated selected associations between autoimmune conditions and mental illness.

“These associations may be the result of shared genetic and environmental risk factors, including stress, hormonal changes, medications, and the proinflammatory states that can lead to both,” he said.

The novelty, he said, is in the relatively strong associations of PND with autoimmune disease overall and with specific autoimmune diseases.
 

Strong Link Found With Multiple Sclerosis (MS)

According to the paper, a significant positive bidirectional link was found for autoimmune thyroid disease, psoriasis, MS, ulcerative colitis, and celiac disease.

Researchers found a particularly strong association — double the risk in both directions — between PND and MS.

Dr. Miller said though it is unclear from this study why the association of PND with MS was stronger than with other autoimmune diseases, people with MS are known to be at a high risk for depression in general. That may come from greater shared genetic and environmental risk factors, he added.

Additionally, MS is one of the more common autoimmune diseases, he noted, so the population is larger for study.

He said he was surprised the researchers didn’t investigate medication use because medications used in depression have immunologic effects and medications used in autoimmune diseases could have effects on mental conditions.

The study has implications for clinicians in a wide variety of specialties, Dr. Miller noted.

“It suggests that caregivers be more alert to the signs of developing autoimmune disease in women with perinatal depression and to the signs of developing perinatal depression in those with autoimmune disease,” Dr. Miller said, “so that appropriate screening, diagnostics, and interventions may be undertaken.”

The researchers say they will continue to examine the long-term effects of depression during pregnancy and in the year after childbirth.

“Depression during this sensitive period can have serious consequences for both the mother and the baby,” Dr. Bränn said. “We hope that our results will help decision-makers to steer funding toward maternal healthcare so that more women can get help and support in time.”

The study was financed by Karolinska Institute, Forte (the Swedish Research Council for Health, Working Life and Welfare), the Swedish Research Council, and the Icelandic Research Fund.

The researchers and Dr. Miller reported no relevant financial relationships.

A version of this article appeared on Medscape.com.

Women with autoimmune disease are more likely to have perinatal depression (PND), according to findings from a new study that also suggested the reverse relationship is true: Women with a history of PND have a higher risk of developing autoimmune disease.

The research, published online on January 9, 2024, in Molecular Psychiatry, was led by Emma Bränn, PhD, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden.

The researchers used data from the Swedish Medical Birth Register and identified all women who had given birth in Sweden between 2001 and 2013. Out of the group of approximately 815,000 women and 1.3 million pregnancies, just more than 55,000 women had been diagnosed with depression during their pregnancy or within a year after delivery.

The researchers then compared the incidence of 41 autoimmune diseases in women who had and did not have PND. They controlled for factors including genetic makeup and childhood environment.

Results indicated that women with autoimmune disease were 30% more likely to have PND (odds ratio, 1.30; 95% CI, 1.25-1.35). Conversely, women with PND were 30% more likely than women with no PND to develop an autoimmune disease (hazard ratio, 1.30; 95% CI, 1.25-1.36).

A sibling comparison helped confirm the results by controlling for some shared genetic and early life environmental factors related to the household in which sisters grew up.
 

Potential Shared Biological Mechanisms

The association was independent of psychiatric comorbidities, suggesting there may be shared biological mechanisms.

Dr. Bränn told this news organization that the research team wanted to do the study because previous research has shown involvement of the immune system in depression, with similarities in both the symptoms of immune system–activated diseases and depression and the molecular pathways activated by the immune system.

“Adding on top of the tremendous changes in the immune system that we see in the body of the woman during the perinatal period, we hypothesized that autoimmune diseases could be associated to perinatal depression,” she said. “This had also been shown in some previous literature but not to the extent as what we have investigated in this paper.”

She said their results help make a case for counseling women at several points in healthcare interactions — before and after conception and childbirth — and in rheumatology visits to inform women with autoimmune diseases who are contemplating motherhood of the association with developing PND. The results may also demonstrate a need for monitoring women in these groups for depression or autoimmune disease.

Fred Miller, MD, PhD, retired Scientist Emeritus of the Environmental Autoimmunity Group at the National Institute of Environmental Health Sciences, who was not part of the study, said the results seem plausible as they build on early work that demonstrated selected associations between autoimmune conditions and mental illness.

“These associations may be the result of shared genetic and environmental risk factors, including stress, hormonal changes, medications, and the proinflammatory states that can lead to both,” he said.

The novelty, he said, is in the relatively strong associations of PND with autoimmune disease overall and with specific autoimmune diseases.
 

Strong Link Found With Multiple Sclerosis (MS)

According to the paper, a significant positive bidirectional link was found for autoimmune thyroid disease, psoriasis, MS, ulcerative colitis, and celiac disease.

Researchers found a particularly strong association — double the risk in both directions — between PND and MS.

Dr. Miller said though it is unclear from this study why the association of PND with MS was stronger than with other autoimmune diseases, people with MS are known to be at a high risk for depression in general. That may come from greater shared genetic and environmental risk factors, he added.

Additionally, MS is one of the more common autoimmune diseases, he noted, so the population is larger for study.

He said he was surprised the researchers didn’t investigate medication use because medications used in depression have immunologic effects and medications used in autoimmune diseases could have effects on mental conditions.

The study has implications for clinicians in a wide variety of specialties, Dr. Miller noted.

“It suggests that caregivers be more alert to the signs of developing autoimmune disease in women with perinatal depression and to the signs of developing perinatal depression in those with autoimmune disease,” Dr. Miller said, “so that appropriate screening, diagnostics, and interventions may be undertaken.”

The researchers say they will continue to examine the long-term effects of depression during pregnancy and in the year after childbirth.

“Depression during this sensitive period can have serious consequences for both the mother and the baby,” Dr. Bränn said. “We hope that our results will help decision-makers to steer funding toward maternal healthcare so that more women can get help and support in time.”

The study was financed by Karolinska Institute, Forte (the Swedish Research Council for Health, Working Life and Welfare), the Swedish Research Council, and the Icelandic Research Fund.

The researchers and Dr. Miller reported no relevant financial relationships.

A version of this article appeared on Medscape.com.

Women with autoimmune disease are more likely to have perinatal depression (PND), according to findings from a new study that also suggested the reverse relationship is true: Women with a history of PND have a higher risk of developing autoimmune disease.

The research, published online on January 9, 2024, in Molecular Psychiatry, was led by Emma Bränn, PhD, Institute of Environmental Medicine, Karolinska Institute, Stockholm, Sweden.

The researchers used data from the Swedish Medical Birth Register and identified all women who had given birth in Sweden between 2001 and 2013. Out of the group of approximately 815,000 women and 1.3 million pregnancies, just more than 55,000 women had been diagnosed with depression during their pregnancy or within a year after delivery.

The researchers then compared the incidence of 41 autoimmune diseases in women who had and did not have PND. They controlled for factors including genetic makeup and childhood environment.

Results indicated that women with autoimmune disease were 30% more likely to have PND (odds ratio, 1.30; 95% CI, 1.25-1.35). Conversely, women with PND were 30% more likely than women with no PND to develop an autoimmune disease (hazard ratio, 1.30; 95% CI, 1.25-1.36).

A sibling comparison helped confirm the results by controlling for some shared genetic and early life environmental factors related to the household in which sisters grew up.
 

Potential Shared Biological Mechanisms

The association was independent of psychiatric comorbidities, suggesting there may be shared biological mechanisms.

Dr. Bränn told this news organization that the research team wanted to do the study because previous research has shown involvement of the immune system in depression, with similarities in both the symptoms of immune system–activated diseases and depression and the molecular pathways activated by the immune system.

“Adding on top of the tremendous changes in the immune system that we see in the body of the woman during the perinatal period, we hypothesized that autoimmune diseases could be associated to perinatal depression,” she said. “This had also been shown in some previous literature but not to the extent as what we have investigated in this paper.”

She said their results help make a case for counseling women at several points in healthcare interactions — before and after conception and childbirth — and in rheumatology visits to inform women with autoimmune diseases who are contemplating motherhood of the association with developing PND. The results may also demonstrate a need for monitoring women in these groups for depression or autoimmune disease.

Fred Miller, MD, PhD, retired Scientist Emeritus of the Environmental Autoimmunity Group at the National Institute of Environmental Health Sciences, who was not part of the study, said the results seem plausible as they build on early work that demonstrated selected associations between autoimmune conditions and mental illness.

“These associations may be the result of shared genetic and environmental risk factors, including stress, hormonal changes, medications, and the proinflammatory states that can lead to both,” he said.

The novelty, he said, is in the relatively strong associations of PND with autoimmune disease overall and with specific autoimmune diseases.
 

Strong Link Found With Multiple Sclerosis (MS)

According to the paper, a significant positive bidirectional link was found for autoimmune thyroid disease, psoriasis, MS, ulcerative colitis, and celiac disease.

Researchers found a particularly strong association — double the risk in both directions — between PND and MS.

Dr. Miller said though it is unclear from this study why the association of PND with MS was stronger than with other autoimmune diseases, people with MS are known to be at a high risk for depression in general. That may come from greater shared genetic and environmental risk factors, he added.

Additionally, MS is one of the more common autoimmune diseases, he noted, so the population is larger for study.

He said he was surprised the researchers didn’t investigate medication use because medications used in depression have immunologic effects and medications used in autoimmune diseases could have effects on mental conditions.

The study has implications for clinicians in a wide variety of specialties, Dr. Miller noted.

“It suggests that caregivers be more alert to the signs of developing autoimmune disease in women with perinatal depression and to the signs of developing perinatal depression in those with autoimmune disease,” Dr. Miller said, “so that appropriate screening, diagnostics, and interventions may be undertaken.”

The researchers say they will continue to examine the long-term effects of depression during pregnancy and in the year after childbirth.

“Depression during this sensitive period can have serious consequences for both the mother and the baby,” Dr. Bränn said. “We hope that our results will help decision-makers to steer funding toward maternal healthcare so that more women can get help and support in time.”

The study was financed by Karolinska Institute, Forte (the Swedish Research Council for Health, Working Life and Welfare), the Swedish Research Council, and the Icelandic Research Fund.

The researchers and Dr. Miller reported no relevant financial relationships.

A version of this article appeared on Medscape.com.