Neurology Reviews

The next frontier in cancer detection could be the humble urine test.

Emerging science suggests that the body’s “liquid gold” could be particularly useful for liquid biopsies, offering a convenient, pain-free, and cost-effective way to spot otherwise hard-to-detect cancers.

“The search for cancer biomarkers that can be detected in urine could provide an enormous step forward to decrease cancer patient mortality,” said Kenneth R. Shroyer, MD, PhD, a pathologist at Stony Brook University, Stony Brook, New York, who studies cancer biomarkers.

Physicians have long known that urine can reveal a lot about our health — that’s why urinalysis has been part of medicine for 6000 years. Urine tests can detect diabetes, pregnancy, drug use, and urinary or kidney conditions.

But other conditions leave clues in urine, too, and cancer may be one of the most promising. “Urine testing could detect biomarkers of early-stage cancers, not only from local but also distant sites,” Dr. Shroyer said. It could also help flag recurrence in cancer survivors who have undergone treatment.

Granted, cancer biomarkers in urine are not nearly as widely studied as those in the blood, Dr. Shroyer noted. But a new wave of urine tests suggests research is gaining pace.

“The recent availability of high-throughput screening technologies has enabled researchers to investigate cancer from a top-down, comprehensive approach,” said Pak Kin Wong, PhD, professor of mechanical engineering, biomedical engineering, and surgery at The Pennsylvania State University. “We are starting to understand the rich information that can be obtained from urine.”

Urine is mostly water (about 95%) and urea, a metabolic byproduct that imparts that signature yellow color (about 2%). The other 3% is a mix of waste products, minerals, and other compounds the kidneys removed from the blood. Even in trace amounts, these substances say a lot.

Among them are “exfoliated cancer cells, cell-free DNA, hormones, and the urine microbiota — the collection of microbes in our urinary tract system,” Dr. Wong said.

“It is highly promising to be one of the major biological fluids used for screening, diagnosis, prognosis, and monitoring treatment efficiency in the era of precision medicine,” Dr. Wong said.

How Urine Testing Could Reveal Cancer

Still, as exciting as the prospect is, there’s a lot to consider in the hunt for cancer biomarkers in urine. These biomarkers must be able to pass through the renal nephrons (filtering units), remain stable in urine, and have high-level sensitivity, Dr. Shroyer said. They should also have high specificity for cancer vs benign conditions and be expressed at early stages, before the primary tumor has spread.

“At this stage, few circulating biomarkers have been found that are both sensitive and specific for early-stage disease,” said Dr. Shroyer.

But there are a few promising examples under investigation in humans:

Prostate cancer. Researchers at the University of Michigan have developed a urine test that detects high-grade prostate cancer more accurately than existing tests, including PHI, SelectMDx, 4Kscore, EPI, MPS, and IsoPSA.

The MyProstateScore 2.0 (MPS2) test, which looks for 18 genes associated with high-grade tumors, could reduce unnecessary biopsies in men with elevated prostate-specific antigen levels, according to a paper published in JAMA Oncology.

It makes sense. The prostate gland secretes fluid that becomes part of the semen, traces of which enter urine. After a digital rectal exam, even more prostate fluid enters the urine. If a patient has prostate cancer, genetic material from the cancer cells will infiltrate the urine.

In the MPS2 test, researchers used polymerase chain reaction (PCR) testing in urine. “The technology used for COVID PCR is essentially the same as the PCR used to detect transcripts associated with high-grade prostate cancer in urine,” said study author Arul Chinnaiyan, MD, PhD, director of the Michigan Center for Translational Pathology at the University of Michigan, Ann Arbor. “In the case of the MPS2 test, we are doing PCR on 18 genes simultaneously on urine samples.”

A statistical model uses levels of that genetic material to predict the risk for high-grade disease, helping doctors decide what to do next. At 95% sensitivity, the MPS2 model could eliminate 35%-45% of unnecessary biopsies, compared with 15%-30% for the other tests, and reduce repeat biopsies by 46%-51%, compared with 9%-21% for the other tests.

Head and neck cancer. In a paper published in JCI Insight, researchers described a test that finds ultra-short fragments of DNA in urine to enable early detection of head and neck cancers caused by human papillomavirus.

“Our data show that a relatively small volume of urine (30-60 mL) gives overall detection results comparable to a tube of blood,” said study author Muneesh Tewari, MD, PhD, professor of hematology and oncology at the University of Michigan .

A larger volume of urine could potentially “make cancer detection even more sensitive than blood,” Dr. Tewari said, “allowing cancers to be detected at the earliest stages when they are more curable.”

The team used a technique called droplet digital PCR to detect DNA fragments that are “ultra-short” (less than 50 base pairs long) and usually missed by conventional PCR testing. This transrenal cell-free tumor DNA, which travels from the tumor into the bloodstream, is broken down small enough to pass through the kidneys and into the urine. But the fragments are still long enough to carry information about the tumor’s genetic signature.

This test could spot cancer before a tumor grows big enough — about a centimeter wide and carrying a billion cells — to spot on a CT scan or other imaging test. “When we are instead detecting fragments of DNA released from a tumor,” said Dr. Tewari, “our testing methods are very sensitive and can detect DNA in urine that came from just 5-10 cells in a tumor that died and released their DNA into the blood, which then made its way into the urine.”

Pancreatic cancer. Pancreatic ductal adenocarcinoma is one of the deadliest cancers, largely because it is diagnosed so late. A urine panel now in clinical trials could help doctors diagnose the cancer before it has spread so more people can have the tumor surgically removed, improving prognosis.

Using enzyme-linked immunosorbent assay test, a common lab method that detects antibodies and other proteins, the team measured expression levels for three genes (LYVE1, REG1B, and TFF1) in urine samples collected from people up to 5 years before they were diagnosed with pancreatic cancer. The researchers combined this result with patients’ urinary creatinine levels, a common component of existing urinalysis, and their age to develop a risk score.

This score performed similarly to an existing blood test, CA19-9, in predicting patients’ risk for pancreatic cancer up to 1 year before diagnosis. When combined with CA19-9, the urinary panel helped spot cancer up to 2 years before diagnosis.

According to a paper in the International Journal of Cancer, “the urine panel and affiliated PancRISK are currently being validated in a prospective clinical study (UroPanc).” If all goes well, they could be implemented in clinical practice in a few years as a “noninvasive stratification tool” to identify patients for further testing, speeding up diagnosis, and saving lives.

Limitations and Promises

Each cancer type is different, and more research is needed to map out which substances in urine predict which cancers and to develop tests for mass adoption. “There are medical and technological hurdles to the large-scale implementation of urine analysis for complex diseases such as cancer,” said Dr. Wong.

One possibility: Scientists and clinicians could collaborate and use artificial intelligence techniques to combine urine test results with other data.

“It is likely that future diagnostics may combine urine with other biological samples such as feces and saliva, among others,” said Dr. Wong. “This is especially true when novel data science and machine learning techniques can integrate comprehensive data from patients that span genetic, proteomic, metabolic, microbiomic, and even behavioral data to evaluate a patient’s condition.”

One thing that excites Dr. Tewari about urine-based cancer testing: “We think it could be especially impactful for patients living in rural areas or other areas with less access to healthcare services,” he said.
 

A version of this article appeared on Medscape.com.

The next frontier in cancer detection could be the humble urine test.

Emerging science suggests that the body’s “liquid gold” could be particularly useful for liquid biopsies, offering a convenient, pain-free, and cost-effective way to spot otherwise hard-to-detect cancers.

“The search for cancer biomarkers that can be detected in urine could provide an enormous step forward to decrease cancer patient mortality,” said Kenneth R. Shroyer, MD, PhD, a pathologist at Stony Brook University, Stony Brook, New York, who studies cancer biomarkers.

Physicians have long known that urine can reveal a lot about our health — that’s why urinalysis has been part of medicine for 6000 years. Urine tests can detect diabetes, pregnancy, drug use, and urinary or kidney conditions.

But other conditions leave clues in urine, too, and cancer may be one of the most promising. “Urine testing could detect biomarkers of early-stage cancers, not only from local but also distant sites,” Dr. Shroyer said. It could also help flag recurrence in cancer survivors who have undergone treatment.

Granted, cancer biomarkers in urine are not nearly as widely studied as those in the blood, Dr. Shroyer noted. But a new wave of urine tests suggests research is gaining pace.

“The recent availability of high-throughput screening technologies has enabled researchers to investigate cancer from a top-down, comprehensive approach,” said Pak Kin Wong, PhD, professor of mechanical engineering, biomedical engineering, and surgery at The Pennsylvania State University. “We are starting to understand the rich information that can be obtained from urine.”

Urine is mostly water (about 95%) and urea, a metabolic byproduct that imparts that signature yellow color (about 2%). The other 3% is a mix of waste products, minerals, and other compounds the kidneys removed from the blood. Even in trace amounts, these substances say a lot.

Among them are “exfoliated cancer cells, cell-free DNA, hormones, and the urine microbiota — the collection of microbes in our urinary tract system,” Dr. Wong said.

“It is highly promising to be one of the major biological fluids used for screening, diagnosis, prognosis, and monitoring treatment efficiency in the era of precision medicine,” Dr. Wong said.

How Urine Testing Could Reveal Cancer

Still, as exciting as the prospect is, there’s a lot to consider in the hunt for cancer biomarkers in urine. These biomarkers must be able to pass through the renal nephrons (filtering units), remain stable in urine, and have high-level sensitivity, Dr. Shroyer said. They should also have high specificity for cancer vs benign conditions and be expressed at early stages, before the primary tumor has spread.

“At this stage, few circulating biomarkers have been found that are both sensitive and specific for early-stage disease,” said Dr. Shroyer.

But there are a few promising examples under investigation in humans:

Prostate cancer. Researchers at the University of Michigan have developed a urine test that detects high-grade prostate cancer more accurately than existing tests, including PHI, SelectMDx, 4Kscore, EPI, MPS, and IsoPSA.

The MyProstateScore 2.0 (MPS2) test, which looks for 18 genes associated with high-grade tumors, could reduce unnecessary biopsies in men with elevated prostate-specific antigen levels, according to a paper published in JAMA Oncology.

It makes sense. The prostate gland secretes fluid that becomes part of the semen, traces of which enter urine. After a digital rectal exam, even more prostate fluid enters the urine. If a patient has prostate cancer, genetic material from the cancer cells will infiltrate the urine.

In the MPS2 test, researchers used polymerase chain reaction (PCR) testing in urine. “The technology used for COVID PCR is essentially the same as the PCR used to detect transcripts associated with high-grade prostate cancer in urine,” said study author Arul Chinnaiyan, MD, PhD, director of the Michigan Center for Translational Pathology at the University of Michigan, Ann Arbor. “In the case of the MPS2 test, we are doing PCR on 18 genes simultaneously on urine samples.”

A statistical model uses levels of that genetic material to predict the risk for high-grade disease, helping doctors decide what to do next. At 95% sensitivity, the MPS2 model could eliminate 35%-45% of unnecessary biopsies, compared with 15%-30% for the other tests, and reduce repeat biopsies by 46%-51%, compared with 9%-21% for the other tests.

Head and neck cancer. In a paper published in JCI Insight, researchers described a test that finds ultra-short fragments of DNA in urine to enable early detection of head and neck cancers caused by human papillomavirus.

“Our data show that a relatively small volume of urine (30-60 mL) gives overall detection results comparable to a tube of blood,” said study author Muneesh Tewari, MD, PhD, professor of hematology and oncology at the University of Michigan .

A larger volume of urine could potentially “make cancer detection even more sensitive than blood,” Dr. Tewari said, “allowing cancers to be detected at the earliest stages when they are more curable.”

The team used a technique called droplet digital PCR to detect DNA fragments that are “ultra-short” (less than 50 base pairs long) and usually missed by conventional PCR testing. This transrenal cell-free tumor DNA, which travels from the tumor into the bloodstream, is broken down small enough to pass through the kidneys and into the urine. But the fragments are still long enough to carry information about the tumor’s genetic signature.

This test could spot cancer before a tumor grows big enough — about a centimeter wide and carrying a billion cells — to spot on a CT scan or other imaging test. “When we are instead detecting fragments of DNA released from a tumor,” said Dr. Tewari, “our testing methods are very sensitive and can detect DNA in urine that came from just 5-10 cells in a tumor that died and released their DNA into the blood, which then made its way into the urine.”

Pancreatic cancer. Pancreatic ductal adenocarcinoma is one of the deadliest cancers, largely because it is diagnosed so late. A urine panel now in clinical trials could help doctors diagnose the cancer before it has spread so more people can have the tumor surgically removed, improving prognosis.

Using enzyme-linked immunosorbent assay test, a common lab method that detects antibodies and other proteins, the team measured expression levels for three genes (LYVE1, REG1B, and TFF1) in urine samples collected from people up to 5 years before they were diagnosed with pancreatic cancer. The researchers combined this result with patients’ urinary creatinine levels, a common component of existing urinalysis, and their age to develop a risk score.

This score performed similarly to an existing blood test, CA19-9, in predicting patients’ risk for pancreatic cancer up to 1 year before diagnosis. When combined with CA19-9, the urinary panel helped spot cancer up to 2 years before diagnosis.

According to a paper in the International Journal of Cancer, “the urine panel and affiliated PancRISK are currently being validated in a prospective clinical study (UroPanc).” If all goes well, they could be implemented in clinical practice in a few years as a “noninvasive stratification tool” to identify patients for further testing, speeding up diagnosis, and saving lives.

Limitations and Promises

Each cancer type is different, and more research is needed to map out which substances in urine predict which cancers and to develop tests for mass adoption. “There are medical and technological hurdles to the large-scale implementation of urine analysis for complex diseases such as cancer,” said Dr. Wong.

One possibility: Scientists and clinicians could collaborate and use artificial intelligence techniques to combine urine test results with other data.

“It is likely that future diagnostics may combine urine with other biological samples such as feces and saliva, among others,” said Dr. Wong. “This is especially true when novel data science and machine learning techniques can integrate comprehensive data from patients that span genetic, proteomic, metabolic, microbiomic, and even behavioral data to evaluate a patient’s condition.”

One thing that excites Dr. Tewari about urine-based cancer testing: “We think it could be especially impactful for patients living in rural areas or other areas with less access to healthcare services,” he said.
 

A version of this article appeared on Medscape.com.

The next frontier in cancer detection could be the humble urine test.

Emerging science suggests that the body’s “liquid gold” could be particularly useful for liquid biopsies, offering a convenient, pain-free, and cost-effective way to spot otherwise hard-to-detect cancers.

“The search for cancer biomarkers that can be detected in urine could provide an enormous step forward to decrease cancer patient mortality,” said Kenneth R. Shroyer, MD, PhD, a pathologist at Stony Brook University, Stony Brook, New York, who studies cancer biomarkers.

Physicians have long known that urine can reveal a lot about our health — that’s why urinalysis has been part of medicine for 6000 years. Urine tests can detect diabetes, pregnancy, drug use, and urinary or kidney conditions.

But other conditions leave clues in urine, too, and cancer may be one of the most promising. “Urine testing could detect biomarkers of early-stage cancers, not only from local but also distant sites,” Dr. Shroyer said. It could also help flag recurrence in cancer survivors who have undergone treatment.

Granted, cancer biomarkers in urine are not nearly as widely studied as those in the blood, Dr. Shroyer noted. But a new wave of urine tests suggests research is gaining pace.

“The recent availability of high-throughput screening technologies has enabled researchers to investigate cancer from a top-down, comprehensive approach,” said Pak Kin Wong, PhD, professor of mechanical engineering, biomedical engineering, and surgery at The Pennsylvania State University. “We are starting to understand the rich information that can be obtained from urine.”

Urine is mostly water (about 95%) and urea, a metabolic byproduct that imparts that signature yellow color (about 2%). The other 3% is a mix of waste products, minerals, and other compounds the kidneys removed from the blood. Even in trace amounts, these substances say a lot.

Among them are “exfoliated cancer cells, cell-free DNA, hormones, and the urine microbiota — the collection of microbes in our urinary tract system,” Dr. Wong said.

“It is highly promising to be one of the major biological fluids used for screening, diagnosis, prognosis, and monitoring treatment efficiency in the era of precision medicine,” Dr. Wong said.

How Urine Testing Could Reveal Cancer

Still, as exciting as the prospect is, there’s a lot to consider in the hunt for cancer biomarkers in urine. These biomarkers must be able to pass through the renal nephrons (filtering units), remain stable in urine, and have high-level sensitivity, Dr. Shroyer said. They should also have high specificity for cancer vs benign conditions and be expressed at early stages, before the primary tumor has spread.

“At this stage, few circulating biomarkers have been found that are both sensitive and specific for early-stage disease,” said Dr. Shroyer.

But there are a few promising examples under investigation in humans:

Prostate cancer. Researchers at the University of Michigan have developed a urine test that detects high-grade prostate cancer more accurately than existing tests, including PHI, SelectMDx, 4Kscore, EPI, MPS, and IsoPSA.

The MyProstateScore 2.0 (MPS2) test, which looks for 18 genes associated with high-grade tumors, could reduce unnecessary biopsies in men with elevated prostate-specific antigen levels, according to a paper published in JAMA Oncology.

It makes sense. The prostate gland secretes fluid that becomes part of the semen, traces of which enter urine. After a digital rectal exam, even more prostate fluid enters the urine. If a patient has prostate cancer, genetic material from the cancer cells will infiltrate the urine.

In the MPS2 test, researchers used polymerase chain reaction (PCR) testing in urine. “The technology used for COVID PCR is essentially the same as the PCR used to detect transcripts associated with high-grade prostate cancer in urine,” said study author Arul Chinnaiyan, MD, PhD, director of the Michigan Center for Translational Pathology at the University of Michigan, Ann Arbor. “In the case of the MPS2 test, we are doing PCR on 18 genes simultaneously on urine samples.”

A statistical model uses levels of that genetic material to predict the risk for high-grade disease, helping doctors decide what to do next. At 95% sensitivity, the MPS2 model could eliminate 35%-45% of unnecessary biopsies, compared with 15%-30% for the other tests, and reduce repeat biopsies by 46%-51%, compared with 9%-21% for the other tests.

Head and neck cancer. In a paper published in JCI Insight, researchers described a test that finds ultra-short fragments of DNA in urine to enable early detection of head and neck cancers caused by human papillomavirus.

“Our data show that a relatively small volume of urine (30-60 mL) gives overall detection results comparable to a tube of blood,” said study author Muneesh Tewari, MD, PhD, professor of hematology and oncology at the University of Michigan .

A larger volume of urine could potentially “make cancer detection even more sensitive than blood,” Dr. Tewari said, “allowing cancers to be detected at the earliest stages when they are more curable.”

The team used a technique called droplet digital PCR to detect DNA fragments that are “ultra-short” (less than 50 base pairs long) and usually missed by conventional PCR testing. This transrenal cell-free tumor DNA, which travels from the tumor into the bloodstream, is broken down small enough to pass through the kidneys and into the urine. But the fragments are still long enough to carry information about the tumor’s genetic signature.

This test could spot cancer before a tumor grows big enough — about a centimeter wide and carrying a billion cells — to spot on a CT scan or other imaging test. “When we are instead detecting fragments of DNA released from a tumor,” said Dr. Tewari, “our testing methods are very sensitive and can detect DNA in urine that came from just 5-10 cells in a tumor that died and released their DNA into the blood, which then made its way into the urine.”

Pancreatic cancer. Pancreatic ductal adenocarcinoma is one of the deadliest cancers, largely because it is diagnosed so late. A urine panel now in clinical trials could help doctors diagnose the cancer before it has spread so more people can have the tumor surgically removed, improving prognosis.

Using enzyme-linked immunosorbent assay test, a common lab method that detects antibodies and other proteins, the team measured expression levels for three genes (LYVE1, REG1B, and TFF1) in urine samples collected from people up to 5 years before they were diagnosed with pancreatic cancer. The researchers combined this result with patients’ urinary creatinine levels, a common component of existing urinalysis, and their age to develop a risk score.

This score performed similarly to an existing blood test, CA19-9, in predicting patients’ risk for pancreatic cancer up to 1 year before diagnosis. When combined with CA19-9, the urinary panel helped spot cancer up to 2 years before diagnosis.

According to a paper in the International Journal of Cancer, “the urine panel and affiliated PancRISK are currently being validated in a prospective clinical study (UroPanc).” If all goes well, they could be implemented in clinical practice in a few years as a “noninvasive stratification tool” to identify patients for further testing, speeding up diagnosis, and saving lives.

Limitations and Promises

Each cancer type is different, and more research is needed to map out which substances in urine predict which cancers and to develop tests for mass adoption. “There are medical and technological hurdles to the large-scale implementation of urine analysis for complex diseases such as cancer,” said Dr. Wong.

One possibility: Scientists and clinicians could collaborate and use artificial intelligence techniques to combine urine test results with other data.

“It is likely that future diagnostics may combine urine with other biological samples such as feces and saliva, among others,” said Dr. Wong. “This is especially true when novel data science and machine learning techniques can integrate comprehensive data from patients that span genetic, proteomic, metabolic, microbiomic, and even behavioral data to evaluate a patient’s condition.”

One thing that excites Dr. Tewari about urine-based cancer testing: “We think it could be especially impactful for patients living in rural areas or other areas with less access to healthcare services,” he said.
 

A version of this article appeared on Medscape.com.

A California jury has awarded $14 million to a former University of California, Los Angeles (UCLA) oncologist who claimed she was paid thousands less than her male colleagues and wrongfully terminated after her complaints of gender-based harassment and intimidation were ignored by program leadership.

The decision comes after a lengthy 8-year legal battle in which an appellate judge reversed a previous jury decision in her favor.

Lauren Pinter-Brown, MD, a hematologic oncologist, was hired in 2005 by the University of California, Los Angeles School of Medicine — now called UCLA’s David Geffen School of Medicine. As the school’s lymphoma program director, she conducted clinical research alongside other oncology doctors, including Sven de Vos, MD.

She claimed that her professional relationship with Dr. de Vos became contentious after he demonstrated “oppositional” and “disrespectful” behavior at team meetings, such as talking over her and turning his chair so Dr. Pinter-Brown faced his back. Court documents indicated that Dr. de Vos refused to use Dr. Pinter-Brown’s title in front of colleagues despite doing so for male counterparts.

Dr. Pinter-Brown argued that she was treated as the “butt of a joke” by Dr. de Vos and other male colleagues. In 2016, she sued Dr. de Vos, the university, and its governing body, the Board of Regents, for wrongful termination.

She was awarded a $13 million verdict in 2018. However, the California Court of Appeals overturned it in 2020 after concluding that several mistakes during the court proceedings impeded the school’s right to a fair and impartial trial. The case was retried, culminating in the even higher award of $14 million issued on May 9.

“Two juries have come to virtually identical findings showing multiple problems at UCLA involving gender discrimination,” Dr. Pinter-Brown’s attorney, Carney R. Shegerian, JD, told this news organization.

A spokesperson from UCLA’s David Geffen School of Medicine said administrators are carefully reviewing the new decision.

The spokesperson told this news organization that the medical school and its health system remain “deeply committed to maintaining a workplace free from discrimination, intimidation, retaliation, or harassment of any kind” and fostering a “respectful and inclusive environment ... in research, medical education, and patient care.”
 

Gender Pay Disparities Persist in Medicine

The gender pay gap in medicine is well documented. The 2024 Medscape Physician Compensation Report found that male doctors earn about 29% more than their female counterparts, with the disparity growing larger among specialists. In addition, a recent JAMA Health Forum study found that male physicians earned 21%-24% more per hour than female physicians.

Dr. Pinter-Brown, who now works at the University of California, Irvine, alleged that she was paid $200,000 less annually, on average, than her male colleagues.

That’s not surprising, says Martha Gulati, MD, professor and director of preventive cardiology at Cedars-Sinai Smidt Heart Institute, Los Angeles. She coauthored a commentary about gender disparities in JAMA Network Open. Dr. Gulati told this news organization that even a “small” pay disparity of $100,000 annually adds up.

“Let’s say the [male physician] invests it at 3% and adds to it yearly. Even without a raise, in 20 years, that is approximately $3 million,” Dr. Gulati explained. “Once you find out you are paid less than your male colleagues, you are upset. Your sense of value and self-worth disappears.”

Eileen Barrett, MD, MPH, president-elect of the American Medical Women’s Association, said that gender discrimination is likely more prevalent than research indicates. She told this news organization that self-doubt and fear of retaliation keep many from exposing the mistreatment.

Although more women are entering medicine, too few rise to the highest positions, Dr. Barrett said.

“Unfortunately, many are pulled and pushed into specialties and subspecialties that have lower compensation and are not promoted to leadership, so just having numbers isn’t enough to achieve equity,” Dr. Barrett said.

Dr. Pinter-Brown claimed she was repeatedly harassed and intimidated by Dr. de Vos from 2008 to 2015. Despite voicing concerns multiple times about the discriminatory behavior, the only resolutions offered by the male-dominated program leadership were for her to separate from the group and conduct lymphoma research independently or to avoid interacting with Dr. de Vos, court records said.

Even the school’s male Title IX officer, Jan Tillisch, MD, who handled gender-based discrimination complaints, reportedly made sexist comments. When Dr. Pinter-Brown sought his help, he allegedly told her that she had a reputation as an “angry woman” and “diva,” court records showed.

According to court documents, Dr. Pinter-Brown endured nitpicking and research audits as retaliation for speaking out, temporarily suspending her research privileges. She said she was subsequently removed from the director position and replaced by Dr. de Vos.

Female physicians who report discriminatory behavior often have unfavorable outcomes and risk future career prospects, Dr. Gulati said.

To shift this dynamic, she said institutions must increase transparency and practices that support female doctors receiving “equal pay for equal work.”
 

A version of this article appeared on Medscape.com.

A California jury has awarded $14 million to a former University of California, Los Angeles (UCLA) oncologist who claimed she was paid thousands less than her male colleagues and wrongfully terminated after her complaints of gender-based harassment and intimidation were ignored by program leadership.

The decision comes after a lengthy 8-year legal battle in which an appellate judge reversed a previous jury decision in her favor.

Lauren Pinter-Brown, MD, a hematologic oncologist, was hired in 2005 by the University of California, Los Angeles School of Medicine — now called UCLA’s David Geffen School of Medicine. As the school’s lymphoma program director, she conducted clinical research alongside other oncology doctors, including Sven de Vos, MD.

She claimed that her professional relationship with Dr. de Vos became contentious after he demonstrated “oppositional” and “disrespectful” behavior at team meetings, such as talking over her and turning his chair so Dr. Pinter-Brown faced his back. Court documents indicated that Dr. de Vos refused to use Dr. Pinter-Brown’s title in front of colleagues despite doing so for male counterparts.

Dr. Pinter-Brown argued that she was treated as the “butt of a joke” by Dr. de Vos and other male colleagues. In 2016, she sued Dr. de Vos, the university, and its governing body, the Board of Regents, for wrongful termination.

She was awarded a $13 million verdict in 2018. However, the California Court of Appeals overturned it in 2020 after concluding that several mistakes during the court proceedings impeded the school’s right to a fair and impartial trial. The case was retried, culminating in the even higher award of $14 million issued on May 9.

“Two juries have come to virtually identical findings showing multiple problems at UCLA involving gender discrimination,” Dr. Pinter-Brown’s attorney, Carney R. Shegerian, JD, told this news organization.

A spokesperson from UCLA’s David Geffen School of Medicine said administrators are carefully reviewing the new decision.

The spokesperson told this news organization that the medical school and its health system remain “deeply committed to maintaining a workplace free from discrimination, intimidation, retaliation, or harassment of any kind” and fostering a “respectful and inclusive environment ... in research, medical education, and patient care.”
 

Gender Pay Disparities Persist in Medicine

The gender pay gap in medicine is well documented. The 2024 Medscape Physician Compensation Report found that male doctors earn about 29% more than their female counterparts, with the disparity growing larger among specialists. In addition, a recent JAMA Health Forum study found that male physicians earned 21%-24% more per hour than female physicians.

Dr. Pinter-Brown, who now works at the University of California, Irvine, alleged that she was paid $200,000 less annually, on average, than her male colleagues.

That’s not surprising, says Martha Gulati, MD, professor and director of preventive cardiology at Cedars-Sinai Smidt Heart Institute, Los Angeles. She coauthored a commentary about gender disparities in JAMA Network Open. Dr. Gulati told this news organization that even a “small” pay disparity of $100,000 annually adds up.

“Let’s say the [male physician] invests it at 3% and adds to it yearly. Even without a raise, in 20 years, that is approximately $3 million,” Dr. Gulati explained. “Once you find out you are paid less than your male colleagues, you are upset. Your sense of value and self-worth disappears.”

Eileen Barrett, MD, MPH, president-elect of the American Medical Women’s Association, said that gender discrimination is likely more prevalent than research indicates. She told this news organization that self-doubt and fear of retaliation keep many from exposing the mistreatment.

Although more women are entering medicine, too few rise to the highest positions, Dr. Barrett said.

“Unfortunately, many are pulled and pushed into specialties and subspecialties that have lower compensation and are not promoted to leadership, so just having numbers isn’t enough to achieve equity,” Dr. Barrett said.

Dr. Pinter-Brown claimed she was repeatedly harassed and intimidated by Dr. de Vos from 2008 to 2015. Despite voicing concerns multiple times about the discriminatory behavior, the only resolutions offered by the male-dominated program leadership were for her to separate from the group and conduct lymphoma research independently or to avoid interacting with Dr. de Vos, court records said.

Even the school’s male Title IX officer, Jan Tillisch, MD, who handled gender-based discrimination complaints, reportedly made sexist comments. When Dr. Pinter-Brown sought his help, he allegedly told her that she had a reputation as an “angry woman” and “diva,” court records showed.

According to court documents, Dr. Pinter-Brown endured nitpicking and research audits as retaliation for speaking out, temporarily suspending her research privileges. She said she was subsequently removed from the director position and replaced by Dr. de Vos.

Female physicians who report discriminatory behavior often have unfavorable outcomes and risk future career prospects, Dr. Gulati said.

To shift this dynamic, she said institutions must increase transparency and practices that support female doctors receiving “equal pay for equal work.”
 

A version of this article appeared on Medscape.com.

A California jury has awarded $14 million to a former University of California, Los Angeles (UCLA) oncologist who claimed she was paid thousands less than her male colleagues and wrongfully terminated after her complaints of gender-based harassment and intimidation were ignored by program leadership.

The decision comes after a lengthy 8-year legal battle in which an appellate judge reversed a previous jury decision in her favor.

Lauren Pinter-Brown, MD, a hematologic oncologist, was hired in 2005 by the University of California, Los Angeles School of Medicine — now called UCLA’s David Geffen School of Medicine. As the school’s lymphoma program director, she conducted clinical research alongside other oncology doctors, including Sven de Vos, MD.

She claimed that her professional relationship with Dr. de Vos became contentious after he demonstrated “oppositional” and “disrespectful” behavior at team meetings, such as talking over her and turning his chair so Dr. Pinter-Brown faced his back. Court documents indicated that Dr. de Vos refused to use Dr. Pinter-Brown’s title in front of colleagues despite doing so for male counterparts.

Dr. Pinter-Brown argued that she was treated as the “butt of a joke” by Dr. de Vos and other male colleagues. In 2016, she sued Dr. de Vos, the university, and its governing body, the Board of Regents, for wrongful termination.

She was awarded a $13 million verdict in 2018. However, the California Court of Appeals overturned it in 2020 after concluding that several mistakes during the court proceedings impeded the school’s right to a fair and impartial trial. The case was retried, culminating in the even higher award of $14 million issued on May 9.

“Two juries have come to virtually identical findings showing multiple problems at UCLA involving gender discrimination,” Dr. Pinter-Brown’s attorney, Carney R. Shegerian, JD, told this news organization.

A spokesperson from UCLA’s David Geffen School of Medicine said administrators are carefully reviewing the new decision.

The spokesperson told this news organization that the medical school and its health system remain “deeply committed to maintaining a workplace free from discrimination, intimidation, retaliation, or harassment of any kind” and fostering a “respectful and inclusive environment ... in research, medical education, and patient care.”
 

Gender Pay Disparities Persist in Medicine

The gender pay gap in medicine is well documented. The 2024 Medscape Physician Compensation Report found that male doctors earn about 29% more than their female counterparts, with the disparity growing larger among specialists. In addition, a recent JAMA Health Forum study found that male physicians earned 21%-24% more per hour than female physicians.

Dr. Pinter-Brown, who now works at the University of California, Irvine, alleged that she was paid $200,000 less annually, on average, than her male colleagues.

That’s not surprising, says Martha Gulati, MD, professor and director of preventive cardiology at Cedars-Sinai Smidt Heart Institute, Los Angeles. She coauthored a commentary about gender disparities in JAMA Network Open. Dr. Gulati told this news organization that even a “small” pay disparity of $100,000 annually adds up.

“Let’s say the [male physician] invests it at 3% and adds to it yearly. Even without a raise, in 20 years, that is approximately $3 million,” Dr. Gulati explained. “Once you find out you are paid less than your male colleagues, you are upset. Your sense of value and self-worth disappears.”

Eileen Barrett, MD, MPH, president-elect of the American Medical Women’s Association, said that gender discrimination is likely more prevalent than research indicates. She told this news organization that self-doubt and fear of retaliation keep many from exposing the mistreatment.

Although more women are entering medicine, too few rise to the highest positions, Dr. Barrett said.

“Unfortunately, many are pulled and pushed into specialties and subspecialties that have lower compensation and are not promoted to leadership, so just having numbers isn’t enough to achieve equity,” Dr. Barrett said.

Dr. Pinter-Brown claimed she was repeatedly harassed and intimidated by Dr. de Vos from 2008 to 2015. Despite voicing concerns multiple times about the discriminatory behavior, the only resolutions offered by the male-dominated program leadership were for her to separate from the group and conduct lymphoma research independently or to avoid interacting with Dr. de Vos, court records said.

Even the school’s male Title IX officer, Jan Tillisch, MD, who handled gender-based discrimination complaints, reportedly made sexist comments. When Dr. Pinter-Brown sought his help, he allegedly told her that she had a reputation as an “angry woman” and “diva,” court records showed.

According to court documents, Dr. Pinter-Brown endured nitpicking and research audits as retaliation for speaking out, temporarily suspending her research privileges. She said she was subsequently removed from the director position and replaced by Dr. de Vos.

Female physicians who report discriminatory behavior often have unfavorable outcomes and risk future career prospects, Dr. Gulati said.

To shift this dynamic, she said institutions must increase transparency and practices that support female doctors receiving “equal pay for equal work.”
 

A version of this article appeared on Medscape.com.

Over the past few decades, the US Food and Drug Administration (FDA) has increasingly relied on surrogate measures such as blood tests instead of clinical outcomes for medication approvals. But critics say the agency lacks consistent standards to ensure the surrogate aligns with clinical outcomes that matter to patients — things like improvements in symptoms and gains in function.

Sometimes those decisions backfire. Consider: In July 2021, the FDA approved aducanumab for the treatment of Alzheimer’s disease, bucking the advice of an advisory panel for the agency that questioned the effectiveness of the medication. Regulators relied on data from the drugmaker, Biogen, showing the monoclonal antibody could reduce levels of amyloid beta plaques in blood — a surrogate marker officials hoped would translate to clinical benefit.

The FDA’s decision triggered significant controversy, and Biogen in January announced it is pulling it from the market this year, citing disappointing sales.

Although the case of aducanumab might seem extreme, given the stakes — Alzheimer’s remains a disease without an effective treatment — it’s far from unusual.

“When we prescribe a drug, there is an underlying assumption that the FDA has done its due diligence to confirm the drug is safe and of benefit,” said Reshma Ramachandran, MD, MPP, MHS, a researcher at Yale School of Medicine, New Haven, Connecticut, and a coauthor of a recent review of surrogate outcomes. “In fact, we found either no evidence or low-quality evidence.” Such markers are associated with clinical outcomes. “We just don’t know if they work meaningfully to treat the patient’s condition. The results were pretty shocking for us,” she said.

The FDA in 2018 released an Adult Surrogate Endpoint Table listing markers that can be used as substitutes for clinical outcomes to more quickly test, review, and approve new therapies. The analysis found the majority of these endpoints lacked subsequent confirmations, defined as published meta-analyses of clinical studies to validate the association between the marker and a clinical outcome important to patients.

In a paper published in JAMA, Dr. Ramachandran and her colleagues looked at 37 surrogate endpoints for nearly 3 dozen nononcologic diseases in the table.

Approval with surrogate markers implies responsibility for postapproval or validation studies — not just lab measures or imaging findings but mortality, morbidity, or improved quality of life, said Joshua D. Wallach, PhD, MS, assistant professor in the department of epidemiology at the Emory Rollins School of Public Health in Atlanta and lead author of the JAMA review.

Dr. Wallach said surrogate markers are easier to measure and do not require large and long trials. But the FDA has not provided clear rules for what makes a surrogate marker valid in clinical trials.

“They’ve said that at a minimum, it requires meta-analytical evidence from studies that have looked at the correlation or the association between the surrogate and the clinical outcome,” Dr. Wallach said. “Our understanding was that if that’s a minimum expectation, we should be able to find those studies in the literature. And the reality is that we were unable to find evidence from those types of studies supporting the association between the surrogate and the clinical outcome.”

Physicians generally do not receive training about the FDA approval process and the difference between biomarkers, surrogate markers, and clinical endpoints, Dr. Ramachandran said. “Our study shows that things are much more uncertain than we thought when it comes to the prescribing of new drugs,” she said.
 

Surrogate Markers on the Rise

Dr. Wallach’s group looked for published meta-analyses compiling randomized controlled trials reporting surrogate endpoints for more than 3 dozen chronic nononcologic conditions, including type 2 diabetes, Alzheimer’s, kidney disease, HIV, gout, and lupus. They found no meta-analyses at all for 59% of the surrogate markers, while for those that were studied, few reported high-strength evidence of an association with clinical outcomes.

The findings echo previous research. In a 2020 study in JAMA Network Open, researchers tallied primary endpoints for all FDA approvals of new drugs and therapies during three 3-year periods: 1995-1997, 2005-2007, and 2015-2017. The proportion of products whose approvals were based on the use of clinical endpoints decreased from 43.8% in 1995-1997 to 28.4% in 2005-2007 to 23.3% in 2015-2017. The share based on surrogate endpoints rose from 43.3% to roughly 60% over the same interval.

A 2017 study in the Journal of Health Economics found the use of “imperfect” surrogate endpoints helped support the approval of an average of 16 new drugs per year between 2010 and 2014 compared with six per year from 1998 to 2008.

Similar concerns about weak associations between surrogate markers and drugs used to treat cancer have been documented before, including in a 2020 study published in eClinicalMedicine. The researchers found the surrogate endpoints in the FDA table either were not tested or were tested but proven to be weak surrogates.

“And yet the FDA considered these as good enough not only for accelerated approval but also for regular approval,” said Bishal Gyawali, MD, PhD, associate professor in the department of oncology at Queen’s University, Kingston, Ontario, Canada, who led the group.

The use of surrogate endpoints is also increasing in Europe, said Huseyin Naci, MHS, PhD, associate professor of health policy at the London School of Economics and Political Science in England. He cited a cohort study of 298 randomized clinical trials (RCTs) in JAMA Oncology suggesting “contemporary oncology RCTs now largely measure putative surrogate endpoints.” Dr. Wallach called the FDA’s surrogate table “a great first step toward transparency. But a key column is missing from that table, telling us what is the basis for which the FDA allows drug companies to use the recognized surrogate markers. What is the evidence they are considering?”

If the agency allows companies the flexibility to validate surrogate endpoints, postmarketing studies designed to confirm the clinical utility of those endpoints should follow.

“We obviously want physicians to be guided by evidence when they’re selecting treatments, and they need to be able to interpret the clinical benefits of the drug that they’re prescribing,” he said. “This is really about having the research consumer, patients, and physicians, as well as industry, understand why certain markers are considered and not considered.”

Dr. Wallach reported receiving grants from the FDA (through the Yale University — Mayo Clinic Center of Excellence in Regulatory Science and Innovation), National Institute on Alcohol Abuse and Alcoholism (1K01AA028258), and Johnson & Johnson (through the Yale University Open Data Access Project); and consulting fees from Hagens Berman Sobol Shapiro LLP and Dugan Law Firm APLC outside the submitted work. Dr. Ramachandran reported receiving grants from the Stavros Niarchos Foundation and FDA; receiving consulting fees from ReAct Action on Antibiotic Resistance strategy policy program outside the submitted work; and serving in an unpaid capacity as chair of the FDA task force for the nonprofit organization Doctors for America and in an unpaid capacity as board president for Universities Allied for Essential Medicines North America.
 

A version of this article appeared on Medscape.com.

Over the past few decades, the US Food and Drug Administration (FDA) has increasingly relied on surrogate measures such as blood tests instead of clinical outcomes for medication approvals. But critics say the agency lacks consistent standards to ensure the surrogate aligns with clinical outcomes that matter to patients — things like improvements in symptoms and gains in function.

Sometimes those decisions backfire. Consider: In July 2021, the FDA approved aducanumab for the treatment of Alzheimer’s disease, bucking the advice of an advisory panel for the agency that questioned the effectiveness of the medication. Regulators relied on data from the drugmaker, Biogen, showing the monoclonal antibody could reduce levels of amyloid beta plaques in blood — a surrogate marker officials hoped would translate to clinical benefit.

The FDA’s decision triggered significant controversy, and Biogen in January announced it is pulling it from the market this year, citing disappointing sales.

Although the case of aducanumab might seem extreme, given the stakes — Alzheimer’s remains a disease without an effective treatment — it’s far from unusual.

“When we prescribe a drug, there is an underlying assumption that the FDA has done its due diligence to confirm the drug is safe and of benefit,” said Reshma Ramachandran, MD, MPP, MHS, a researcher at Yale School of Medicine, New Haven, Connecticut, and a coauthor of a recent review of surrogate outcomes. “In fact, we found either no evidence or low-quality evidence.” Such markers are associated with clinical outcomes. “We just don’t know if they work meaningfully to treat the patient’s condition. The results were pretty shocking for us,” she said.

The FDA in 2018 released an Adult Surrogate Endpoint Table listing markers that can be used as substitutes for clinical outcomes to more quickly test, review, and approve new therapies. The analysis found the majority of these endpoints lacked subsequent confirmations, defined as published meta-analyses of clinical studies to validate the association between the marker and a clinical outcome important to patients.

In a paper published in JAMA, Dr. Ramachandran and her colleagues looked at 37 surrogate endpoints for nearly 3 dozen nononcologic diseases in the table.

Approval with surrogate markers implies responsibility for postapproval or validation studies — not just lab measures or imaging findings but mortality, morbidity, or improved quality of life, said Joshua D. Wallach, PhD, MS, assistant professor in the department of epidemiology at the Emory Rollins School of Public Health in Atlanta and lead author of the JAMA review.

Dr. Wallach said surrogate markers are easier to measure and do not require large and long trials. But the FDA has not provided clear rules for what makes a surrogate marker valid in clinical trials.

“They’ve said that at a minimum, it requires meta-analytical evidence from studies that have looked at the correlation or the association between the surrogate and the clinical outcome,” Dr. Wallach said. “Our understanding was that if that’s a minimum expectation, we should be able to find those studies in the literature. And the reality is that we were unable to find evidence from those types of studies supporting the association between the surrogate and the clinical outcome.”

Physicians generally do not receive training about the FDA approval process and the difference between biomarkers, surrogate markers, and clinical endpoints, Dr. Ramachandran said. “Our study shows that things are much more uncertain than we thought when it comes to the prescribing of new drugs,” she said.
 

Surrogate Markers on the Rise

Dr. Wallach’s group looked for published meta-analyses compiling randomized controlled trials reporting surrogate endpoints for more than 3 dozen chronic nononcologic conditions, including type 2 diabetes, Alzheimer’s, kidney disease, HIV, gout, and lupus. They found no meta-analyses at all for 59% of the surrogate markers, while for those that were studied, few reported high-strength evidence of an association with clinical outcomes.

The findings echo previous research. In a 2020 study in JAMA Network Open, researchers tallied primary endpoints for all FDA approvals of new drugs and therapies during three 3-year periods: 1995-1997, 2005-2007, and 2015-2017. The proportion of products whose approvals were based on the use of clinical endpoints decreased from 43.8% in 1995-1997 to 28.4% in 2005-2007 to 23.3% in 2015-2017. The share based on surrogate endpoints rose from 43.3% to roughly 60% over the same interval.

A 2017 study in the Journal of Health Economics found the use of “imperfect” surrogate endpoints helped support the approval of an average of 16 new drugs per year between 2010 and 2014 compared with six per year from 1998 to 2008.

Similar concerns about weak associations between surrogate markers and drugs used to treat cancer have been documented before, including in a 2020 study published in eClinicalMedicine. The researchers found the surrogate endpoints in the FDA table either were not tested or were tested but proven to be weak surrogates.

“And yet the FDA considered these as good enough not only for accelerated approval but also for regular approval,” said Bishal Gyawali, MD, PhD, associate professor in the department of oncology at Queen’s University, Kingston, Ontario, Canada, who led the group.

The use of surrogate endpoints is also increasing in Europe, said Huseyin Naci, MHS, PhD, associate professor of health policy at the London School of Economics and Political Science in England. He cited a cohort study of 298 randomized clinical trials (RCTs) in JAMA Oncology suggesting “contemporary oncology RCTs now largely measure putative surrogate endpoints.” Dr. Wallach called the FDA’s surrogate table “a great first step toward transparency. But a key column is missing from that table, telling us what is the basis for which the FDA allows drug companies to use the recognized surrogate markers. What is the evidence they are considering?”

If the agency allows companies the flexibility to validate surrogate endpoints, postmarketing studies designed to confirm the clinical utility of those endpoints should follow.

“We obviously want physicians to be guided by evidence when they’re selecting treatments, and they need to be able to interpret the clinical benefits of the drug that they’re prescribing,” he said. “This is really about having the research consumer, patients, and physicians, as well as industry, understand why certain markers are considered and not considered.”

Dr. Wallach reported receiving grants from the FDA (through the Yale University — Mayo Clinic Center of Excellence in Regulatory Science and Innovation), National Institute on Alcohol Abuse and Alcoholism (1K01AA028258), and Johnson & Johnson (through the Yale University Open Data Access Project); and consulting fees from Hagens Berman Sobol Shapiro LLP and Dugan Law Firm APLC outside the submitted work. Dr. Ramachandran reported receiving grants from the Stavros Niarchos Foundation and FDA; receiving consulting fees from ReAct Action on Antibiotic Resistance strategy policy program outside the submitted work; and serving in an unpaid capacity as chair of the FDA task force for the nonprofit organization Doctors for America and in an unpaid capacity as board president for Universities Allied for Essential Medicines North America.
 

A version of this article appeared on Medscape.com.

Over the past few decades, the US Food and Drug Administration (FDA) has increasingly relied on surrogate measures such as blood tests instead of clinical outcomes for medication approvals. But critics say the agency lacks consistent standards to ensure the surrogate aligns with clinical outcomes that matter to patients — things like improvements in symptoms and gains in function.

Sometimes those decisions backfire. Consider: In July 2021, the FDA approved aducanumab for the treatment of Alzheimer’s disease, bucking the advice of an advisory panel for the agency that questioned the effectiveness of the medication. Regulators relied on data from the drugmaker, Biogen, showing the monoclonal antibody could reduce levels of amyloid beta plaques in blood — a surrogate marker officials hoped would translate to clinical benefit.

The FDA’s decision triggered significant controversy, and Biogen in January announced it is pulling it from the market this year, citing disappointing sales.

Although the case of aducanumab might seem extreme, given the stakes — Alzheimer’s remains a disease without an effective treatment — it’s far from unusual.

“When we prescribe a drug, there is an underlying assumption that the FDA has done its due diligence to confirm the drug is safe and of benefit,” said Reshma Ramachandran, MD, MPP, MHS, a researcher at Yale School of Medicine, New Haven, Connecticut, and a coauthor of a recent review of surrogate outcomes. “In fact, we found either no evidence or low-quality evidence.” Such markers are associated with clinical outcomes. “We just don’t know if they work meaningfully to treat the patient’s condition. The results were pretty shocking for us,” she said.

The FDA in 2018 released an Adult Surrogate Endpoint Table listing markers that can be used as substitutes for clinical outcomes to more quickly test, review, and approve new therapies. The analysis found the majority of these endpoints lacked subsequent confirmations, defined as published meta-analyses of clinical studies to validate the association between the marker and a clinical outcome important to patients.

In a paper published in JAMA, Dr. Ramachandran and her colleagues looked at 37 surrogate endpoints for nearly 3 dozen nononcologic diseases in the table.

Approval with surrogate markers implies responsibility for postapproval or validation studies — not just lab measures or imaging findings but mortality, morbidity, or improved quality of life, said Joshua D. Wallach, PhD, MS, assistant professor in the department of epidemiology at the Emory Rollins School of Public Health in Atlanta and lead author of the JAMA review.

Dr. Wallach said surrogate markers are easier to measure and do not require large and long trials. But the FDA has not provided clear rules for what makes a surrogate marker valid in clinical trials.

“They’ve said that at a minimum, it requires meta-analytical evidence from studies that have looked at the correlation or the association between the surrogate and the clinical outcome,” Dr. Wallach said. “Our understanding was that if that’s a minimum expectation, we should be able to find those studies in the literature. And the reality is that we were unable to find evidence from those types of studies supporting the association between the surrogate and the clinical outcome.”

Physicians generally do not receive training about the FDA approval process and the difference between biomarkers, surrogate markers, and clinical endpoints, Dr. Ramachandran said. “Our study shows that things are much more uncertain than we thought when it comes to the prescribing of new drugs,” she said.
 

Surrogate Markers on the Rise

Dr. Wallach’s group looked for published meta-analyses compiling randomized controlled trials reporting surrogate endpoints for more than 3 dozen chronic nononcologic conditions, including type 2 diabetes, Alzheimer’s, kidney disease, HIV, gout, and lupus. They found no meta-analyses at all for 59% of the surrogate markers, while for those that were studied, few reported high-strength evidence of an association with clinical outcomes.

The findings echo previous research. In a 2020 study in JAMA Network Open, researchers tallied primary endpoints for all FDA approvals of new drugs and therapies during three 3-year periods: 1995-1997, 2005-2007, and 2015-2017. The proportion of products whose approvals were based on the use of clinical endpoints decreased from 43.8% in 1995-1997 to 28.4% in 2005-2007 to 23.3% in 2015-2017. The share based on surrogate endpoints rose from 43.3% to roughly 60% over the same interval.

A 2017 study in the Journal of Health Economics found the use of “imperfect” surrogate endpoints helped support the approval of an average of 16 new drugs per year between 2010 and 2014 compared with six per year from 1998 to 2008.

Similar concerns about weak associations between surrogate markers and drugs used to treat cancer have been documented before, including in a 2020 study published in eClinicalMedicine. The researchers found the surrogate endpoints in the FDA table either were not tested or were tested but proven to be weak surrogates.

“And yet the FDA considered these as good enough not only for accelerated approval but also for regular approval,” said Bishal Gyawali, MD, PhD, associate professor in the department of oncology at Queen’s University, Kingston, Ontario, Canada, who led the group.

The use of surrogate endpoints is also increasing in Europe, said Huseyin Naci, MHS, PhD, associate professor of health policy at the London School of Economics and Political Science in England. He cited a cohort study of 298 randomized clinical trials (RCTs) in JAMA Oncology suggesting “contemporary oncology RCTs now largely measure putative surrogate endpoints.” Dr. Wallach called the FDA’s surrogate table “a great first step toward transparency. But a key column is missing from that table, telling us what is the basis for which the FDA allows drug companies to use the recognized surrogate markers. What is the evidence they are considering?”

If the agency allows companies the flexibility to validate surrogate endpoints, postmarketing studies designed to confirm the clinical utility of those endpoints should follow.

“We obviously want physicians to be guided by evidence when they’re selecting treatments, and they need to be able to interpret the clinical benefits of the drug that they’re prescribing,” he said. “This is really about having the research consumer, patients, and physicians, as well as industry, understand why certain markers are considered and not considered.”

Dr. Wallach reported receiving grants from the FDA (through the Yale University — Mayo Clinic Center of Excellence in Regulatory Science and Innovation), National Institute on Alcohol Abuse and Alcoholism (1K01AA028258), and Johnson & Johnson (through the Yale University Open Data Access Project); and consulting fees from Hagens Berman Sobol Shapiro LLP and Dugan Law Firm APLC outside the submitted work. Dr. Ramachandran reported receiving grants from the Stavros Niarchos Foundation and FDA; receiving consulting fees from ReAct Action on Antibiotic Resistance strategy policy program outside the submitted work; and serving in an unpaid capacity as chair of the FDA task force for the nonprofit organization Doctors for America and in an unpaid capacity as board president for Universities Allied for Essential Medicines North America.
 

A version of this article appeared on Medscape.com.

The most reliable predictors of remission in newly diagnosed epilepsy include patient history, seizure characteristics, and onset age, according to authors of a recent review. Clinical prediction models can help neurologists identify which patients could benefit from more aggressive early treatment, authors added, although concerns over bias and model applicability leave room for improvement.

Triggering Aggressive Treatments

“These models are helpful because if you can predict that someone is going to do well with one or two medications, that’s great,” said Aatif M. Husain, MD. “But if you know early on that someone likely will not do well, will need many medications, and still not have their seizures under control, you’re much more likely to be more aggressive with their management, such as closely refer them to a specialist epilepsy center and evaluate them for surgical treatment options. This could minimize the amount of time their seizures are inadequately controlled.” Dr. Husain is an epileptologist, neurologist, and sleep medicine specialist at Duke University Health System in Durham, North Carolina. Dr. Husain was not involved with the study, which was published in Epilepsia.

“But the other important finding is that these models so far have not been that great,” he added.

Prognosis Predictors

Investigators Corey Ratcliffe of the University of Liverpool in England and colleagues systematically searched MEDLINE and Embase for relevant publications, ultimately analyzing 48 models across 32 studies. The strongest predictors of seizure remission were history and seizure types or characteristics, the authors wrote, followed by onset age.

Regarding seizure history, a March 2018 JAMA Neurology study and a December 2013 BMC Neurology study linked factors such as history of seizures in the year pre-diagnosis, family history of epilepsy, and history of febrile seizures and of migraines with lower chances of seizure remission. Seizure types with increased chances of poor outcomes in the review included status epilepticus and seizures with complex or mixed etiologies. Additional seizure types associated with poor control include tonic-clonic seizures, frequent focal seizures, and seizures stemming from certain genetic predispositions, said Dr. Husain.

Although the roles of many of the foregoing factors are easily explained, he added, other variables’ impact is less clear. Younger onset often signals more refractory seizures, for example, while data regarding older onset are mixed. “Sometimes older individuals will have mild epilepsy due to a stroke, tumor, or something that can be relatively easily treated,” said Dr. Husain. Conversely, epilepsy can become more complicated if such patients take several medications and/or have coexisting medical problems that seizures or antiseizure medications exacerbate. “So sometimes it’s not so obvious.”
 

Incorporating Imaging, AI

Dr. Husain found it surprising that very few of the selected models incorporated EEG and MRI findings. “Subsequent research should look at those, since they are important diagnostic tests.” Moreover, he recommended including more sophisticated quantitative and connectivity analyses of EEG and MRI data. These analyses might provide additional prognostic information beyond a simple visual analysis of these tests, Dr. Husain explained, although their potential here remains unproven.

As for factors not represented in the review, he said, future studies will help clarify AI’s role in predicting newly diagnosed epilepsy outcomes. A study published in Epilepsia showed that among 248 potential pediatric surgical candidates, those whose providers received alerts based on machine learning analysis of prior visit notes were more likely to be referred for presurgical evaluation (9.8% versus 3.1%). Future clinical models will use AI to examine not only established elements of neurologic history, said Dr. Husain, but also other types of history such as socioeconomic characteristics, geographic location, and other such data.

Additionally, study authors recommended a standardized approach to prediction modeling, using Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) guidelines. Using consistent definitions, outcomes, and reporting requirements will facilitate communication among researchers, reduce bias, and support systematic between-study comparisons, Mr. Ratcliffe and colleagues wrote.
 

Reaching General Neurologists

Epilepsy specialists are generally aware of reliable outcome predictors, Dr. Husain said, though they do not use models per se. “But the vast majority of patients with epilepsy are seen by general neurologists.” And the lack of awareness among these physicians and primary care practitioners drives a need for education to facilitate appropriate referrals to subspecialty centers, he said.

The stakes for timely referrals can be high. Although using appropriate outcome models improves patients’ quality of life sooner, said Dr. Husain, allowing seizures to go untreated or undertreated results in neuroplastic changes that hinder long-term seizure control.

The fact that all 32 included studies reflected a high risk of bias, and 9 studies raised high applicability concerns, raises questions regarding the models’ validity, he added. Mr. Ratcliffe and colleagues attributed both types of concerns to the fact that 20% of included studies used baseline treatment response data as outcome predictors.

Nevertheless, Dr. Husain cautioned against dismissing prediction models in newly diagnosed epilepsy. “Practicing neurologists need to realize that the perfect model has yet to be developed. But the current tools can be used to help manage patients with epilepsy and predict who will do well and not as well,” he said.

Dr. Husain is a member of the American Epilepsy Society. He has been a consultant and researcher for Marinus Pharmaceuticals, PranaQ, and UCB, and a consultant for Eisai, Jazz Pharmaceuticals, Merck, and uniQure. Study authors reported no funding sources or relevant conflicts of interest.

The most reliable predictors of remission in newly diagnosed epilepsy include patient history, seizure characteristics, and onset age, according to authors of a recent review. Clinical prediction models can help neurologists identify which patients could benefit from more aggressive early treatment, authors added, although concerns over bias and model applicability leave room for improvement.

Triggering Aggressive Treatments

“These models are helpful because if you can predict that someone is going to do well with one or two medications, that’s great,” said Aatif M. Husain, MD. “But if you know early on that someone likely will not do well, will need many medications, and still not have their seizures under control, you’re much more likely to be more aggressive with their management, such as closely refer them to a specialist epilepsy center and evaluate them for surgical treatment options. This could minimize the amount of time their seizures are inadequately controlled.” Dr. Husain is an epileptologist, neurologist, and sleep medicine specialist at Duke University Health System in Durham, North Carolina. Dr. Husain was not involved with the study, which was published in Epilepsia.

“But the other important finding is that these models so far have not been that great,” he added.

Prognosis Predictors

Investigators Corey Ratcliffe of the University of Liverpool in England and colleagues systematically searched MEDLINE and Embase for relevant publications, ultimately analyzing 48 models across 32 studies. The strongest predictors of seizure remission were history and seizure types or characteristics, the authors wrote, followed by onset age.

Regarding seizure history, a March 2018 JAMA Neurology study and a December 2013 BMC Neurology study linked factors such as history of seizures in the year pre-diagnosis, family history of epilepsy, and history of febrile seizures and of migraines with lower chances of seizure remission. Seizure types with increased chances of poor outcomes in the review included status epilepticus and seizures with complex or mixed etiologies. Additional seizure types associated with poor control include tonic-clonic seizures, frequent focal seizures, and seizures stemming from certain genetic predispositions, said Dr. Husain.

Although the roles of many of the foregoing factors are easily explained, he added, other variables’ impact is less clear. Younger onset often signals more refractory seizures, for example, while data regarding older onset are mixed. “Sometimes older individuals will have mild epilepsy due to a stroke, tumor, or something that can be relatively easily treated,” said Dr. Husain. Conversely, epilepsy can become more complicated if such patients take several medications and/or have coexisting medical problems that seizures or antiseizure medications exacerbate. “So sometimes it’s not so obvious.”
 

Incorporating Imaging, AI

Dr. Husain found it surprising that very few of the selected models incorporated EEG and MRI findings. “Subsequent research should look at those, since they are important diagnostic tests.” Moreover, he recommended including more sophisticated quantitative and connectivity analyses of EEG and MRI data. These analyses might provide additional prognostic information beyond a simple visual analysis of these tests, Dr. Husain explained, although their potential here remains unproven.

As for factors not represented in the review, he said, future studies will help clarify AI’s role in predicting newly diagnosed epilepsy outcomes. A study published in Epilepsia showed that among 248 potential pediatric surgical candidates, those whose providers received alerts based on machine learning analysis of prior visit notes were more likely to be referred for presurgical evaluation (9.8% versus 3.1%). Future clinical models will use AI to examine not only established elements of neurologic history, said Dr. Husain, but also other types of history such as socioeconomic characteristics, geographic location, and other such data.

Additionally, study authors recommended a standardized approach to prediction modeling, using Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) guidelines. Using consistent definitions, outcomes, and reporting requirements will facilitate communication among researchers, reduce bias, and support systematic between-study comparisons, Mr. Ratcliffe and colleagues wrote.
 

Reaching General Neurologists

Epilepsy specialists are generally aware of reliable outcome predictors, Dr. Husain said, though they do not use models per se. “But the vast majority of patients with epilepsy are seen by general neurologists.” And the lack of awareness among these physicians and primary care practitioners drives a need for education to facilitate appropriate referrals to subspecialty centers, he said.

The stakes for timely referrals can be high. Although using appropriate outcome models improves patients’ quality of life sooner, said Dr. Husain, allowing seizures to go untreated or undertreated results in neuroplastic changes that hinder long-term seizure control.

The fact that all 32 included studies reflected a high risk of bias, and 9 studies raised high applicability concerns, raises questions regarding the models’ validity, he added. Mr. Ratcliffe and colleagues attributed both types of concerns to the fact that 20% of included studies used baseline treatment response data as outcome predictors.

Nevertheless, Dr. Husain cautioned against dismissing prediction models in newly diagnosed epilepsy. “Practicing neurologists need to realize that the perfect model has yet to be developed. But the current tools can be used to help manage patients with epilepsy and predict who will do well and not as well,” he said.

Dr. Husain is a member of the American Epilepsy Society. He has been a consultant and researcher for Marinus Pharmaceuticals, PranaQ, and UCB, and a consultant for Eisai, Jazz Pharmaceuticals, Merck, and uniQure. Study authors reported no funding sources or relevant conflicts of interest.

The most reliable predictors of remission in newly diagnosed epilepsy include patient history, seizure characteristics, and onset age, according to authors of a recent review. Clinical prediction models can help neurologists identify which patients could benefit from more aggressive early treatment, authors added, although concerns over bias and model applicability leave room for improvement.

Triggering Aggressive Treatments

“These models are helpful because if you can predict that someone is going to do well with one or two medications, that’s great,” said Aatif M. Husain, MD. “But if you know early on that someone likely will not do well, will need many medications, and still not have their seizures under control, you’re much more likely to be more aggressive with their management, such as closely refer them to a specialist epilepsy center and evaluate them for surgical treatment options. This could minimize the amount of time their seizures are inadequately controlled.” Dr. Husain is an epileptologist, neurologist, and sleep medicine specialist at Duke University Health System in Durham, North Carolina. Dr. Husain was not involved with the study, which was published in Epilepsia.

“But the other important finding is that these models so far have not been that great,” he added.

Prognosis Predictors

Investigators Corey Ratcliffe of the University of Liverpool in England and colleagues systematically searched MEDLINE and Embase for relevant publications, ultimately analyzing 48 models across 32 studies. The strongest predictors of seizure remission were history and seizure types or characteristics, the authors wrote, followed by onset age.

Regarding seizure history, a March 2018 JAMA Neurology study and a December 2013 BMC Neurology study linked factors such as history of seizures in the year pre-diagnosis, family history of epilepsy, and history of febrile seizures and of migraines with lower chances of seizure remission. Seizure types with increased chances of poor outcomes in the review included status epilepticus and seizures with complex or mixed etiologies. Additional seizure types associated with poor control include tonic-clonic seizures, frequent focal seizures, and seizures stemming from certain genetic predispositions, said Dr. Husain.

Although the roles of many of the foregoing factors are easily explained, he added, other variables’ impact is less clear. Younger onset often signals more refractory seizures, for example, while data regarding older onset are mixed. “Sometimes older individuals will have mild epilepsy due to a stroke, tumor, or something that can be relatively easily treated,” said Dr. Husain. Conversely, epilepsy can become more complicated if such patients take several medications and/or have coexisting medical problems that seizures or antiseizure medications exacerbate. “So sometimes it’s not so obvious.”
 

Incorporating Imaging, AI

Dr. Husain found it surprising that very few of the selected models incorporated EEG and MRI findings. “Subsequent research should look at those, since they are important diagnostic tests.” Moreover, he recommended including more sophisticated quantitative and connectivity analyses of EEG and MRI data. These analyses might provide additional prognostic information beyond a simple visual analysis of these tests, Dr. Husain explained, although their potential here remains unproven.

As for factors not represented in the review, he said, future studies will help clarify AI’s role in predicting newly diagnosed epilepsy outcomes. A study published in Epilepsia showed that among 248 potential pediatric surgical candidates, those whose providers received alerts based on machine learning analysis of prior visit notes were more likely to be referred for presurgical evaluation (9.8% versus 3.1%). Future clinical models will use AI to examine not only established elements of neurologic history, said Dr. Husain, but also other types of history such as socioeconomic characteristics, geographic location, and other such data.

Additionally, study authors recommended a standardized approach to prediction modeling, using Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) guidelines. Using consistent definitions, outcomes, and reporting requirements will facilitate communication among researchers, reduce bias, and support systematic between-study comparisons, Mr. Ratcliffe and colleagues wrote.
 

Reaching General Neurologists

Epilepsy specialists are generally aware of reliable outcome predictors, Dr. Husain said, though they do not use models per se. “But the vast majority of patients with epilepsy are seen by general neurologists.” And the lack of awareness among these physicians and primary care practitioners drives a need for education to facilitate appropriate referrals to subspecialty centers, he said.

The stakes for timely referrals can be high. Although using appropriate outcome models improves patients’ quality of life sooner, said Dr. Husain, allowing seizures to go untreated or undertreated results in neuroplastic changes that hinder long-term seizure control.

The fact that all 32 included studies reflected a high risk of bias, and 9 studies raised high applicability concerns, raises questions regarding the models’ validity, he added. Mr. Ratcliffe and colleagues attributed both types of concerns to the fact that 20% of included studies used baseline treatment response data as outcome predictors.

Nevertheless, Dr. Husain cautioned against dismissing prediction models in newly diagnosed epilepsy. “Practicing neurologists need to realize that the perfect model has yet to be developed. But the current tools can be used to help manage patients with epilepsy and predict who will do well and not as well,” he said.

Dr. Husain is a member of the American Epilepsy Society. He has been a consultant and researcher for Marinus Pharmaceuticals, PranaQ, and UCB, and a consultant for Eisai, Jazz Pharmaceuticals, Merck, and uniQure. Study authors reported no funding sources or relevant conflicts of interest.

Lipoid proteinosis, or Urbach-Wiethe disease, is a rare autosomal recessive genodermatosis with a global prevalence of less than 500 reported cases, with an equal distribution across genders and ethnicities.¹ It is caused by mutations in the ECM1 gene² on chromosome 1q21. This leads to the abnormal deposition of hyaline material in various tissues across different organ systems, with the classic manifestations known as the “string of pearls” sign and a hoarse cry or voice.

The rarity of lipoid proteinosis often leads to challenges in diagnosis. Particularly when deviating from the common association with consanguinity, the potential for de novo mutations or a broader genetic variability in disease expression is highlighted. Our patient presents with symptoms that are pathognomonic to LP with moniliform blepharosis and hoarseness of the voice, in addition to scarring of the extremities. 

Other common clinical manifestations in patients with LP include cobblestoning of the mucosa; hyperkeratosis of the elbows, knees, and hands; and calcification of the amygdala with neuroimaging.³

Genetic testing that identifies a loss-of-function mutation in ECM1 offers diagnostic confirmation. Patients often need multidisciplinary care involving dermatology; ear, nose, throat; neurology; and genetics. Treatment of LP is mostly symptomatic with unsatisfactory resolution of cutaneous changes, with retinoids such as acitretin used as the first-line option and surgery as a consideration for laryngeal hyaline deposits.² Although LP can affect different organ systems, patients tend to have a normal lifespan.

Dr. Bilu Martin is a board-certified dermatologist in private practice at Premier Dermatology, MD, in Aventura, Florida. More diagnostic cases are available at mdedge.com/dermatology. To submit a case for possible publication, send an email to [email protected].

References

1. Mcgrath JA. Handb Clin Neurol. 2015:132:317-22. doi: 10.1016/B978-0-444-62702-5.00023-8.

2. Hamada Tet al. Hum Mol Genet. 2002 Apr 1;11(7):833-40. doi: 10.1093/hmg/11.7.833.

3. Frenkel B et al. Clin Oral Investig. 2017 Sep;21(7):2245-51 doi: 10.1007/s00784-016-2017-7.

Lipoid proteinosis, or Urbach-Wiethe disease, is a rare autosomal recessive genodermatosis with a global prevalence of less than 500 reported cases, with an equal distribution across genders and ethnicities.¹ It is caused by mutations in the ECM1 gene² on chromosome 1q21. This leads to the abnormal deposition of hyaline material in various tissues across different organ systems, with the classic manifestations known as the “string of pearls” sign and a hoarse cry or voice.

The rarity of lipoid proteinosis often leads to challenges in diagnosis. Particularly when deviating from the common association with consanguinity, the potential for de novo mutations or a broader genetic variability in disease expression is highlighted. Our patient presents with symptoms that are pathognomonic to LP with moniliform blepharosis and hoarseness of the voice, in addition to scarring of the extremities. 

Other common clinical manifestations in patients with LP include cobblestoning of the mucosa; hyperkeratosis of the elbows, knees, and hands; and calcification of the amygdala with neuroimaging.³

Genetic testing that identifies a loss-of-function mutation in ECM1 offers diagnostic confirmation. Patients often need multidisciplinary care involving dermatology; ear, nose, throat; neurology; and genetics. Treatment of LP is mostly symptomatic with unsatisfactory resolution of cutaneous changes, with retinoids such as acitretin used as the first-line option and surgery as a consideration for laryngeal hyaline deposits.² Although LP can affect different organ systems, patients tend to have a normal lifespan.

Dr. Bilu Martin is a board-certified dermatologist in private practice at Premier Dermatology, MD, in Aventura, Florida. More diagnostic cases are available at mdedge.com/dermatology. To submit a case for possible publication, send an email to [email protected].

References

1. Mcgrath JA. Handb Clin Neurol. 2015:132:317-22. doi: 10.1016/B978-0-444-62702-5.00023-8.

2. Hamada Tet al. Hum Mol Genet. 2002 Apr 1;11(7):833-40. doi: 10.1093/hmg/11.7.833.

3. Frenkel B et al. Clin Oral Investig. 2017 Sep;21(7):2245-51 doi: 10.1007/s00784-016-2017-7.

Lipoid proteinosis, or Urbach-Wiethe disease, is a rare autosomal recessive genodermatosis with a global prevalence of less than 500 reported cases, with an equal distribution across genders and ethnicities.¹ It is caused by mutations in the ECM1 gene² on chromosome 1q21. This leads to the abnormal deposition of hyaline material in various tissues across different organ systems, with the classic manifestations known as the “string of pearls” sign and a hoarse cry or voice.

The rarity of lipoid proteinosis often leads to challenges in diagnosis. Particularly when deviating from the common association with consanguinity, the potential for de novo mutations or a broader genetic variability in disease expression is highlighted. Our patient presents with symptoms that are pathognomonic to LP with moniliform blepharosis and hoarseness of the voice, in addition to scarring of the extremities. 

Other common clinical manifestations in patients with LP include cobblestoning of the mucosa; hyperkeratosis of the elbows, knees, and hands; and calcification of the amygdala with neuroimaging.³

Genetic testing that identifies a loss-of-function mutation in ECM1 offers diagnostic confirmation. Patients often need multidisciplinary care involving dermatology; ear, nose, throat; neurology; and genetics. Treatment of LP is mostly symptomatic with unsatisfactory resolution of cutaneous changes, with retinoids such as acitretin used as the first-line option and surgery as a consideration for laryngeal hyaline deposits.² Although LP can affect different organ systems, patients tend to have a normal lifespan.

Dr. Bilu Martin is a board-certified dermatologist in private practice at Premier Dermatology, MD, in Aventura, Florida. More diagnostic cases are available at mdedge.com/dermatology. To submit a case for possible publication, send an email to [email protected].

References

1. Mcgrath JA. Handb Clin Neurol. 2015:132:317-22. doi: 10.1016/B978-0-444-62702-5.00023-8.

2. Hamada Tet al. Hum Mol Genet. 2002 Apr 1;11(7):833-40. doi: 10.1093/hmg/11.7.833.

3. Frenkel B et al. Clin Oral Investig. 2017 Sep;21(7):2245-51 doi: 10.1007/s00784-016-2017-7.

New expert guidance to help clinicians manage the treatment of patients with epilepsy during pregnancy has been released.

Issued by the American Academy of Neurology, the American Epilepsy Society, and the Society for Maternal-Fetal Medicine, the new practice guideline covers the use of antiseizure medications (ASMs) and folic acid supplementation before conception and during pregnancy.

“Most children born to people with epilepsy are healthy, but there is a small risk of pregnancy-related problems, partly due to seizures and partly due to the effects of antiseizure medications,” the guidelines’ lead author Alison M. Pack, MD, MPH, professor of neurology and chief of the Epilepsy and Sleep Division, Columbia University, New York City, said in a news release.

“This guideline provides recommendations regarding the effects of antiseizure medications and folic acid supplementation on malformations at birth and the development of children during pregnancy, so that doctors and people with epilepsy can determine which treatments may be best for them,” she added. 

The guideline was published online in Neurology.
 

Why Now? 

The new guideline updates the 2009 guidance on epilepsy management during pregnancy. Since then, Dr. Pack told this news organization, there has been a wealth of new data on differential effects of different ASMs — notably, lamotrigine and levetiracetam — the most commonly prescribed medications in this population.

“In this guideline, we were able to assess differential effects of different ASMs on outcomes of interest, including major congenital malformations [MCMs], perinatal outcomes, and neurodevelopmental outcomes. In addition, we looked at the effect of folic acid supplementation on each of these outcomes,” she said.

The overarching goals of care for patients are to “optimize health outcomes both for individuals and their future offspring,” the authors wrote. Shared decision-making, they add, leads to better decision-making by providing a better understanding of the available treatment options and their potential risks, resulting in enhanced decision-making that aligns with personal values.

Clinicians should recommend ASMs that optimize seizure control and fetal outcomes, in the event of a pregnancy, at the earliest possible preconception time, the guideline authors note.

“Overall, treating clinicians need to balance treating the person with epilepsy to control convulsive seizures (generalized tonic-clonic seizures and focal-to-bilateral tonic-clonic seizures) to minimize potential risks to the birth parent and the possible risks of certain ASMs on the fetus if pregnancy occurs,” they wrote.

If a patient is already pregnant, the experts recommend that clinicians “exercise caution” in removing or replacing an ASM that controls convulsive seizures, even if it’s “not an optimal choice” for the fetus. 

In addition, they advise that ASM levels should be monitored throughout the pregnancy, guided by individual ASM pharmacokinetics and an individual patient’s clinical presentation. ASM dose, they note, should be adjusted during pregnancy in response to decreasing serum ASM levels or worsening seizure control.

The authors point out that there are limited data on “pregnancy-related outcomes with respect to acetazolamide, eslicarbazepine, ethosuximide, lacosamide, nitrazepam, perampanel, piracetam, pregabalin, rufinamide, stiripentol, tiagabine, and vigabatrin.”

Patients should be informed that the birth prevalence of any major congenital malformation in the general population ranges between 2.4% and 2.9%.
 

If Feasible, Avoid Valproic Acid 

“One of the most important take-home messages is that valproic acid has the highest unadjusted birth prevalence of all major congenital malformations — 9.7% — and the highest unadjusted birth prevalence of neural tube defects at 1.4%,” Dr. Pack said. As a result, the guideline authors advise against using valproic acid, if clinically feasible.

Valproic acid also has the highest prevalence of negative neurodevelopmental outcomes, including a reduction in global IQ and an increased prevalence of autism spectrum disorder (ASD). Patients should be counseled accordingly and advised of the increased risk for ASD and decreased IQ resulting from valproic acid.

Clinicians should consider using lamotrigine, levetiracetam, or oxcarbazepine when appropriate. Serum concentrations of most ASMs have a “defined therapeutic window” for effective seizure control and that concentration may decrease during pregnancy, particularly with lamotrigine and levetiracetam, the authors note.

Phenobarbital, topiramate, and valproic acid should because of the increased risk for cardiac malformations, oral clefts, and urogenital and renal malformations.

Fetal screening for major congenital malformations is recommended to enable early detection and timely intervention in patients treated with any ASM during pregnancy Patients receiving phenobarbital during pregnancy should also undergo fetal cardiac screenings.

Valproic acid and topiramate are also associated with children who are small for their gestational age. To enable early identification of fetal growth restriction, patients taking valproic acid or topiramate should be monitored. In addition, children exposed to these medications in utero should be monitored during childhood to ensure they are meeting age-appropriate developmental milestones. 

Folic acid taken during pregnancy can reduce the prevalence of negative neurodevelopment outcomes, but not major congenital malformations, Dr. Pack noted. 

“Due to limited available data, we were unable to define an optimal dose of folic acid supplementation beyond at least 0.4 mg/d,” Dr. Pack said. “Future studies, preferably randomized clinical trials, are needed to better define the optimal dose.”

She emphasized that epilepsy is one of the most common neurologic disorders, and 1 in 5 of those affected are people of childbearing potential. Understanding the effects of ASMs on pregnancy outcomes is critical for physicians who manage these patients.
 

Uncertainty Remains 

Commenting for this news organization, Kimford Meador, MD, a professor in the Department of Neurology and Neurological Sciences at Stanford University School of Medicine , Stanford Neuroscience Health Center, Palo Alto, California, noted that the new guidelines reflect the gains in knowledge since 2009 and that the recommendations are “reasonable, based on available data.”

However, “one very important point is how much remains unknown,” said Dr. Meador, who was not involved in writing the current guideline. “Many ASMs have no data, and several have estimates based on small samples or a single observational study.” Thus, “the risks for the majority of ASMs are uncertain.”

Given that randomized trials “are not possible in this population, and that all observational studies are subject to residual confounding, a reliable signal across multiple studies in humans is required to be certain of findings,” he stated.

This practice guideline was developed with financial support from the American Academy of Neurology. Dr. Pack serves on the editorial board for the journal Epilepsy Currents, receives royalties from UpToDate, receives funding from the National Institutes of Health for serving as coinvestigator and site principal investigator for the Maternal Outcomes and Neurodevelopmental Effects of Antiepileptic Drugs (MONEAD) study, and receives funding from Bayer for serving as a co-investigator on a study on women with epilepsy initiating a progestin intrauterine device. One of Dr. Pack’s immediate family members has received personal compensation for serving as an employee of REGENEXBIO. The other authors’ disclosures are listed on the original paper. Dr. Meador has received research support from the National Institutes of Health, Veterans Administration, Eisai, Inc, and Suno Medtronic Navigation, Inc, and the Epilepsy Study Consortium pays Dr. Meador’s university for his research on the Human Epilepsy Project and consultant time related to Eisai, UCB Pharma, and Xenon.

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

New expert guidance to help clinicians manage the treatment of patients with epilepsy during pregnancy has been released.

Issued by the American Academy of Neurology, the American Epilepsy Society, and the Society for Maternal-Fetal Medicine, the new practice guideline covers the use of antiseizure medications (ASMs) and folic acid supplementation before conception and during pregnancy.

“Most children born to people with epilepsy are healthy, but there is a small risk of pregnancy-related problems, partly due to seizures and partly due to the effects of antiseizure medications,” the guidelines’ lead author Alison M. Pack, MD, MPH, professor of neurology and chief of the Epilepsy and Sleep Division, Columbia University, New York City, said in a news release.

“This guideline provides recommendations regarding the effects of antiseizure medications and folic acid supplementation on malformations at birth and the development of children during pregnancy, so that doctors and people with epilepsy can determine which treatments may be best for them,” she added. 

The guideline was published online in Neurology.
 

Why Now? 

The new guideline updates the 2009 guidance on epilepsy management during pregnancy. Since then, Dr. Pack told this news organization, there has been a wealth of new data on differential effects of different ASMs — notably, lamotrigine and levetiracetam — the most commonly prescribed medications in this population.

“In this guideline, we were able to assess differential effects of different ASMs on outcomes of interest, including major congenital malformations [MCMs], perinatal outcomes, and neurodevelopmental outcomes. In addition, we looked at the effect of folic acid supplementation on each of these outcomes,” she said.

The overarching goals of care for patients are to “optimize health outcomes both for individuals and their future offspring,” the authors wrote. Shared decision-making, they add, leads to better decision-making by providing a better understanding of the available treatment options and their potential risks, resulting in enhanced decision-making that aligns with personal values.

Clinicians should recommend ASMs that optimize seizure control and fetal outcomes, in the event of a pregnancy, at the earliest possible preconception time, the guideline authors note.

“Overall, treating clinicians need to balance treating the person with epilepsy to control convulsive seizures (generalized tonic-clonic seizures and focal-to-bilateral tonic-clonic seizures) to minimize potential risks to the birth parent and the possible risks of certain ASMs on the fetus if pregnancy occurs,” they wrote.

If a patient is already pregnant, the experts recommend that clinicians “exercise caution” in removing or replacing an ASM that controls convulsive seizures, even if it’s “not an optimal choice” for the fetus. 

In addition, they advise that ASM levels should be monitored throughout the pregnancy, guided by individual ASM pharmacokinetics and an individual patient’s clinical presentation. ASM dose, they note, should be adjusted during pregnancy in response to decreasing serum ASM levels or worsening seizure control.

The authors point out that there are limited data on “pregnancy-related outcomes with respect to acetazolamide, eslicarbazepine, ethosuximide, lacosamide, nitrazepam, perampanel, piracetam, pregabalin, rufinamide, stiripentol, tiagabine, and vigabatrin.”

Patients should be informed that the birth prevalence of any major congenital malformation in the general population ranges between 2.4% and 2.9%.
 

If Feasible, Avoid Valproic Acid 

“One of the most important take-home messages is that valproic acid has the highest unadjusted birth prevalence of all major congenital malformations — 9.7% — and the highest unadjusted birth prevalence of neural tube defects at 1.4%,” Dr. Pack said. As a result, the guideline authors advise against using valproic acid, if clinically feasible.

Valproic acid also has the highest prevalence of negative neurodevelopmental outcomes, including a reduction in global IQ and an increased prevalence of autism spectrum disorder (ASD). Patients should be counseled accordingly and advised of the increased risk for ASD and decreased IQ resulting from valproic acid.

Clinicians should consider using lamotrigine, levetiracetam, or oxcarbazepine when appropriate. Serum concentrations of most ASMs have a “defined therapeutic window” for effective seizure control and that concentration may decrease during pregnancy, particularly with lamotrigine and levetiracetam, the authors note.

Phenobarbital, topiramate, and valproic acid should because of the increased risk for cardiac malformations, oral clefts, and urogenital and renal malformations.

Fetal screening for major congenital malformations is recommended to enable early detection and timely intervention in patients treated with any ASM during pregnancy Patients receiving phenobarbital during pregnancy should also undergo fetal cardiac screenings.

Valproic acid and topiramate are also associated with children who are small for their gestational age. To enable early identification of fetal growth restriction, patients taking valproic acid or topiramate should be monitored. In addition, children exposed to these medications in utero should be monitored during childhood to ensure they are meeting age-appropriate developmental milestones. 

Folic acid taken during pregnancy can reduce the prevalence of negative neurodevelopment outcomes, but not major congenital malformations, Dr. Pack noted. 

“Due to limited available data, we were unable to define an optimal dose of folic acid supplementation beyond at least 0.4 mg/d,” Dr. Pack said. “Future studies, preferably randomized clinical trials, are needed to better define the optimal dose.”

She emphasized that epilepsy is one of the most common neurologic disorders, and 1 in 5 of those affected are people of childbearing potential. Understanding the effects of ASMs on pregnancy outcomes is critical for physicians who manage these patients.
 

Uncertainty Remains 

Commenting for this news organization, Kimford Meador, MD, a professor in the Department of Neurology and Neurological Sciences at Stanford University School of Medicine , Stanford Neuroscience Health Center, Palo Alto, California, noted that the new guidelines reflect the gains in knowledge since 2009 and that the recommendations are “reasonable, based on available data.”

However, “one very important point is how much remains unknown,” said Dr. Meador, who was not involved in writing the current guideline. “Many ASMs have no data, and several have estimates based on small samples or a single observational study.” Thus, “the risks for the majority of ASMs are uncertain.”

Given that randomized trials “are not possible in this population, and that all observational studies are subject to residual confounding, a reliable signal across multiple studies in humans is required to be certain of findings,” he stated.

This practice guideline was developed with financial support from the American Academy of Neurology. Dr. Pack serves on the editorial board for the journal Epilepsy Currents, receives royalties from UpToDate, receives funding from the National Institutes of Health for serving as coinvestigator and site principal investigator for the Maternal Outcomes and Neurodevelopmental Effects of Antiepileptic Drugs (MONEAD) study, and receives funding from Bayer for serving as a co-investigator on a study on women with epilepsy initiating a progestin intrauterine device. One of Dr. Pack’s immediate family members has received personal compensation for serving as an employee of REGENEXBIO. The other authors’ disclosures are listed on the original paper. Dr. Meador has received research support from the National Institutes of Health, Veterans Administration, Eisai, Inc, and Suno Medtronic Navigation, Inc, and the Epilepsy Study Consortium pays Dr. Meador’s university for his research on the Human Epilepsy Project and consultant time related to Eisai, UCB Pharma, and Xenon.

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

New expert guidance to help clinicians manage the treatment of patients with epilepsy during pregnancy has been released.

Issued by the American Academy of Neurology, the American Epilepsy Society, and the Society for Maternal-Fetal Medicine, the new practice guideline covers the use of antiseizure medications (ASMs) and folic acid supplementation before conception and during pregnancy.

“Most children born to people with epilepsy are healthy, but there is a small risk of pregnancy-related problems, partly due to seizures and partly due to the effects of antiseizure medications,” the guidelines’ lead author Alison M. Pack, MD, MPH, professor of neurology and chief of the Epilepsy and Sleep Division, Columbia University, New York City, said in a news release.

“This guideline provides recommendations regarding the effects of antiseizure medications and folic acid supplementation on malformations at birth and the development of children during pregnancy, so that doctors and people with epilepsy can determine which treatments may be best for them,” she added. 

The guideline was published online in Neurology.
 

Why Now? 

The new guideline updates the 2009 guidance on epilepsy management during pregnancy. Since then, Dr. Pack told this news organization, there has been a wealth of new data on differential effects of different ASMs — notably, lamotrigine and levetiracetam — the most commonly prescribed medications in this population.

“In this guideline, we were able to assess differential effects of different ASMs on outcomes of interest, including major congenital malformations [MCMs], perinatal outcomes, and neurodevelopmental outcomes. In addition, we looked at the effect of folic acid supplementation on each of these outcomes,” she said.

The overarching goals of care for patients are to “optimize health outcomes both for individuals and their future offspring,” the authors wrote. Shared decision-making, they add, leads to better decision-making by providing a better understanding of the available treatment options and their potential risks, resulting in enhanced decision-making that aligns with personal values.

Clinicians should recommend ASMs that optimize seizure control and fetal outcomes, in the event of a pregnancy, at the earliest possible preconception time, the guideline authors note.

“Overall, treating clinicians need to balance treating the person with epilepsy to control convulsive seizures (generalized tonic-clonic seizures and focal-to-bilateral tonic-clonic seizures) to minimize potential risks to the birth parent and the possible risks of certain ASMs on the fetus if pregnancy occurs,” they wrote.

If a patient is already pregnant, the experts recommend that clinicians “exercise caution” in removing or replacing an ASM that controls convulsive seizures, even if it’s “not an optimal choice” for the fetus. 

In addition, they advise that ASM levels should be monitored throughout the pregnancy, guided by individual ASM pharmacokinetics and an individual patient’s clinical presentation. ASM dose, they note, should be adjusted during pregnancy in response to decreasing serum ASM levels or worsening seizure control.

The authors point out that there are limited data on “pregnancy-related outcomes with respect to acetazolamide, eslicarbazepine, ethosuximide, lacosamide, nitrazepam, perampanel, piracetam, pregabalin, rufinamide, stiripentol, tiagabine, and vigabatrin.”

Patients should be informed that the birth prevalence of any major congenital malformation in the general population ranges between 2.4% and 2.9%.
 

If Feasible, Avoid Valproic Acid 

“One of the most important take-home messages is that valproic acid has the highest unadjusted birth prevalence of all major congenital malformations — 9.7% — and the highest unadjusted birth prevalence of neural tube defects at 1.4%,” Dr. Pack said. As a result, the guideline authors advise against using valproic acid, if clinically feasible.

Valproic acid also has the highest prevalence of negative neurodevelopmental outcomes, including a reduction in global IQ and an increased prevalence of autism spectrum disorder (ASD). Patients should be counseled accordingly and advised of the increased risk for ASD and decreased IQ resulting from valproic acid.

Clinicians should consider using lamotrigine, levetiracetam, or oxcarbazepine when appropriate. Serum concentrations of most ASMs have a “defined therapeutic window” for effective seizure control and that concentration may decrease during pregnancy, particularly with lamotrigine and levetiracetam, the authors note.

Phenobarbital, topiramate, and valproic acid should because of the increased risk for cardiac malformations, oral clefts, and urogenital and renal malformations.

Fetal screening for major congenital malformations is recommended to enable early detection and timely intervention in patients treated with any ASM during pregnancy Patients receiving phenobarbital during pregnancy should also undergo fetal cardiac screenings.

Valproic acid and topiramate are also associated with children who are small for their gestational age. To enable early identification of fetal growth restriction, patients taking valproic acid or topiramate should be monitored. In addition, children exposed to these medications in utero should be monitored during childhood to ensure they are meeting age-appropriate developmental milestones. 

Folic acid taken during pregnancy can reduce the prevalence of negative neurodevelopment outcomes, but not major congenital malformations, Dr. Pack noted. 

“Due to limited available data, we were unable to define an optimal dose of folic acid supplementation beyond at least 0.4 mg/d,” Dr. Pack said. “Future studies, preferably randomized clinical trials, are needed to better define the optimal dose.”

She emphasized that epilepsy is one of the most common neurologic disorders, and 1 in 5 of those affected are people of childbearing potential. Understanding the effects of ASMs on pregnancy outcomes is critical for physicians who manage these patients.
 

Uncertainty Remains 

Commenting for this news organization, Kimford Meador, MD, a professor in the Department of Neurology and Neurological Sciences at Stanford University School of Medicine , Stanford Neuroscience Health Center, Palo Alto, California, noted that the new guidelines reflect the gains in knowledge since 2009 and that the recommendations are “reasonable, based on available data.”

However, “one very important point is how much remains unknown,” said Dr. Meador, who was not involved in writing the current guideline. “Many ASMs have no data, and several have estimates based on small samples or a single observational study.” Thus, “the risks for the majority of ASMs are uncertain.”

Given that randomized trials “are not possible in this population, and that all observational studies are subject to residual confounding, a reliable signal across multiple studies in humans is required to be certain of findings,” he stated.

This practice guideline was developed with financial support from the American Academy of Neurology. Dr. Pack serves on the editorial board for the journal Epilepsy Currents, receives royalties from UpToDate, receives funding from the National Institutes of Health for serving as coinvestigator and site principal investigator for the Maternal Outcomes and Neurodevelopmental Effects of Antiepileptic Drugs (MONEAD) study, and receives funding from Bayer for serving as a co-investigator on a study on women with epilepsy initiating a progestin intrauterine device. One of Dr. Pack’s immediate family members has received personal compensation for serving as an employee of REGENEXBIO. The other authors’ disclosures are listed on the original paper. Dr. Meador has received research support from the National Institutes of Health, Veterans Administration, Eisai, Inc, and Suno Medtronic Navigation, Inc, and the Epilepsy Study Consortium pays Dr. Meador’s university for his research on the Human Epilepsy Project and consultant time related to Eisai, UCB Pharma, and Xenon.

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

TOPLINE:

Antiepileptic and anti-infectious agents were the most common drugs associated with Stevens-Johnson syndrome (SJS)/toxic epidermal necrolysis (TEN) in children in an analysis of a World Health Organization (WHO) database.

METHODOLOGY:

• SJS and TEN are rare, life-threatening mucocutaneous reactions mainly associated with medications, but large pharmacovigilance studies of drugs associated with SJS-TEN in the pediatric population are still lacking.
• Using the WHO’s pharmacovigilance database (VigiBase) containing individual case safety reports from January 1967 to July 2022, researchers identified 7342 adverse drug reaction reports of SJS-TEN in children (younger than 18 years; median age, 9 years) in all six continents. Median onset was 5 days, and 3.2% were fatal.
• They analyzed drugs reported as suspected treatments, and for each molecule, they performed a case–non-case study to assess a potential pharmacovigilance signal by computing the information component (IC).
• A positive IC value suggested more frequent reporting of a specific drug-adverse reaction pair. A positive IC025, a traditional threshold for statistical signal detection, is suggestive of a potential pharmacovigilance signal.

TAKEAWAY:

• Overall, 165 drugs were associated with a diagnosis of SJS-TEN; antiepileptic and anti-infectious drugs were the most common drug classes represented.
• The five most frequently reported drugs were carbamazepine (11.7%), lamotrigine (10.6%), sulfamethoxazole-trimethoprim (9%), acetaminophen (8.4%), and phenytoin (6.6%). The five drugs with the highest IC025 were lamotrigine, carbamazepine, phenobarbital, phenytoin, and nimesulide.
• All antiepileptics, many antibiotic families, dapsone, antiretroviral drugs, some antifungal drugs, and nonsteroidal anti-inflammatory drugs were identified in reports, with penicillins the most frequently reported antibiotic family and sulfonamides having the strongest pharmacovigilance signal.
• Vaccines were not associated with significant signals.

IN PRACTICE:

The study provides an update on “the spectrum of drugs potentially associated with SJS-TEN in the pediatric population,” the authors concluded, and “underlines the importance of reporting to pharmacovigilance the suspicion of this severe side effect of drugs with the most precise and detailed clinical description possible.”

SOURCE:

The study, led by Pauline Bataille, MD, of the Department of Pediatric Dermatology, Hôpital Necker-Enfants Malades, Paris City University, France, was published online in the Journal of the European Academy of Dermatology and Venereology.

LIMITATIONS:

Limitations include the possibility that some cases could have had an infectious or idiopathic cause not related to a drug and the lack of detailed clinical data in the database.

DISCLOSURES:

This study did not receive any funding. The authors declared no conflict of interest.

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

TOPLINE:

Antiepileptic and anti-infectious agents were the most common drugs associated with Stevens-Johnson syndrome (SJS)/toxic epidermal necrolysis (TEN) in children in an analysis of a World Health Organization (WHO) database.

METHODOLOGY:

• SJS and TEN are rare, life-threatening mucocutaneous reactions mainly associated with medications, but large pharmacovigilance studies of drugs associated with SJS-TEN in the pediatric population are still lacking.
• Using the WHO’s pharmacovigilance database (VigiBase) containing individual case safety reports from January 1967 to July 2022, researchers identified 7342 adverse drug reaction reports of SJS-TEN in children (younger than 18 years; median age, 9 years) in all six continents. Median onset was 5 days, and 3.2% were fatal.
• They analyzed drugs reported as suspected treatments, and for each molecule, they performed a case–non-case study to assess a potential pharmacovigilance signal by computing the information component (IC).
• A positive IC value suggested more frequent reporting of a specific drug-adverse reaction pair. A positive IC025, a traditional threshold for statistical signal detection, is suggestive of a potential pharmacovigilance signal.

TAKEAWAY:

• Overall, 165 drugs were associated with a diagnosis of SJS-TEN; antiepileptic and anti-infectious drugs were the most common drug classes represented.
• The five most frequently reported drugs were carbamazepine (11.7%), lamotrigine (10.6%), sulfamethoxazole-trimethoprim (9%), acetaminophen (8.4%), and phenytoin (6.6%). The five drugs with the highest IC025 were lamotrigine, carbamazepine, phenobarbital, phenytoin, and nimesulide.
• All antiepileptics, many antibiotic families, dapsone, antiretroviral drugs, some antifungal drugs, and nonsteroidal anti-inflammatory drugs were identified in reports, with penicillins the most frequently reported antibiotic family and sulfonamides having the strongest pharmacovigilance signal.
• Vaccines were not associated with significant signals.

IN PRACTICE:

The study provides an update on “the spectrum of drugs potentially associated with SJS-TEN in the pediatric population,” the authors concluded, and “underlines the importance of reporting to pharmacovigilance the suspicion of this severe side effect of drugs with the most precise and detailed clinical description possible.”

SOURCE:

The study, led by Pauline Bataille, MD, of the Department of Pediatric Dermatology, Hôpital Necker-Enfants Malades, Paris City University, France, was published online in the Journal of the European Academy of Dermatology and Venereology.

LIMITATIONS:

Limitations include the possibility that some cases could have had an infectious or idiopathic cause not related to a drug and the lack of detailed clinical data in the database.

DISCLOSURES:

This study did not receive any funding. The authors declared no conflict of interest.

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

TOPLINE:

Antiepileptic and anti-infectious agents were the most common drugs associated with Stevens-Johnson syndrome (SJS)/toxic epidermal necrolysis (TEN) in children in an analysis of a World Health Organization (WHO) database.

METHODOLOGY:

• SJS and TEN are rare, life-threatening mucocutaneous reactions mainly associated with medications, but large pharmacovigilance studies of drugs associated with SJS-TEN in the pediatric population are still lacking.
• Using the WHO’s pharmacovigilance database (VigiBase) containing individual case safety reports from January 1967 to July 2022, researchers identified 7342 adverse drug reaction reports of SJS-TEN in children (younger than 18 years; median age, 9 years) in all six continents. Median onset was 5 days, and 3.2% were fatal.
• They analyzed drugs reported as suspected treatments, and for each molecule, they performed a case–non-case study to assess a potential pharmacovigilance signal by computing the information component (IC).
• A positive IC value suggested more frequent reporting of a specific drug-adverse reaction pair. A positive IC025, a traditional threshold for statistical signal detection, is suggestive of a potential pharmacovigilance signal.

TAKEAWAY:

• Overall, 165 drugs were associated with a diagnosis of SJS-TEN; antiepileptic and anti-infectious drugs were the most common drug classes represented.
• The five most frequently reported drugs were carbamazepine (11.7%), lamotrigine (10.6%), sulfamethoxazole-trimethoprim (9%), acetaminophen (8.4%), and phenytoin (6.6%). The five drugs with the highest IC025 were lamotrigine, carbamazepine, phenobarbital, phenytoin, and nimesulide.
• All antiepileptics, many antibiotic families, dapsone, antiretroviral drugs, some antifungal drugs, and nonsteroidal anti-inflammatory drugs were identified in reports, with penicillins the most frequently reported antibiotic family and sulfonamides having the strongest pharmacovigilance signal.
• Vaccines were not associated with significant signals.

IN PRACTICE:

The study provides an update on “the spectrum of drugs potentially associated with SJS-TEN in the pediatric population,” the authors concluded, and “underlines the importance of reporting to pharmacovigilance the suspicion of this severe side effect of drugs with the most precise and detailed clinical description possible.”

SOURCE:

The study, led by Pauline Bataille, MD, of the Department of Pediatric Dermatology, Hôpital Necker-Enfants Malades, Paris City University, France, was published online in the Journal of the European Academy of Dermatology and Venereology.

LIMITATIONS:

Limitations include the possibility that some cases could have had an infectious or idiopathic cause not related to a drug and the lack of detailed clinical data in the database.

DISCLOSURES:

This study did not receive any funding. The authors declared no conflict of interest.

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

A distant friend and I were recently chatting by email. After years of trying, she’s become a successful author, and decided to leave medicine to focus on the new career.

She’s excited about this, as it’s really what she’s always dreamed of doing, but at the same time feels guilty about it. Leaving medicine for a new career isn’t quite the same as quitting your job as a waitress or insurance salesman. You’ve put a lot of time, and effort, and money, into becoming an attending physician.

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

A distant friend and I were recently chatting by email. After years of trying, she’s become a successful author, and decided to leave medicine to focus on the new career.

She’s excited about this, as it’s really what she’s always dreamed of doing, but at the same time feels guilty about it. Leaving medicine for a new career isn’t quite the same as quitting your job as a waitress or insurance salesman. You’ve put a lot of time, and effort, and money, into becoming an attending physician.

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

A distant friend and I were recently chatting by email. After years of trying, she’s become a successful author, and decided to leave medicine to focus on the new career.

She’s excited about this, as it’s really what she’s always dreamed of doing, but at the same time feels guilty about it. Leaving medicine for a new career isn’t quite the same as quitting your job as a waitress or insurance salesman. You’ve put a lot of time, and effort, and money, into becoming an attending physician.

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

Meningitis has been highlighted as a novel risk factor for trigeminal neuralgia in a nationwide, propensity-matched study of hospital admissions.

In multivariate analysis, the odds of meningitis were threefold higher in patients admitted with trigeminal neuralgia than in matched controls without trigeminal neuralgia.

This is the first nationwide population-based study of the rare, chronic pain disorder to identify the prevalence of trigeminal neuralgia admissions in the United States and risk factors contributing to trigeminal neuralgia development.

“Our results affirm known associations between trigeminal neuralgia and comorbidities like multiple sclerosis, and they also identify meningitis as a novel risk factor for trigeminal neuralgia,” said investigator Megan Tang, BS, a medical student at the Icahn School of Medicine at Mount Sinai, New York City.

The findings were presented at the American Association of Neurological Surgeons (AANS) 2024 annual meeting.
 

Strong Clinical Risk Factors

Trigeminal neuralgia is a rare pain disorder involving neurovascular compression of the trigeminal nerve. Its etiology and risk factors are poorly understood. Current literature is based on limited datasets and reports inconsistent risk factors across studies.

To better understand the disorder, researchers used International Classification of Diseases (ICD)-9 codes to identify trigeminal neuralgia admissions in the National Inpatient Sample from 2016 to 2019, and then propensity matched them 1:1 to non-trigeminal neuralgia admissions based on demographics, socioeconomic status, and Charlson comorbidity index scores.

Univariate analysis identified 136,345 trigeminal neuralgia admissions or an overall prevalence of 0.096%.

Trigeminal neuralgia admissions had lower morbidity than non-trigeminal neuralgia admissions and a higher prevalence of non-White patients, private insurance, and prolonged length of stay, Ms. Tang said.

Patients admitted for trigeminal neuralgia also had a higher prevalence of several chronic conditions, including hypertension, hyperlipidemia, and osteoarthritis; inflammatory conditions like lupus, meningitis, rheumatoid arthritis, and inflammatory bowel disease; and neurologic conditions including multiple sclerosis, epilepsy, stroke, and neurovascular compression disorders.

In multivariate analysis, investigators identified meningitis as a previously unknown risk factor for trigeminal neuralgia (odds ratio [OR], 3.1; P < .001).

Other strong risk factors were neurovascular compression disorders (OR, 39.82; P < .001) and multiple sclerosis (OR, 12.41; P < .001). Non-White race (Black; OR, 1.09; Hispanic; OR, 1.23; Other; OR, 1.24) and use of Medicaid (OR, 1.07) and other insurance (OR, 1.17) were demographic risk factors for trigeminal neuralgia.

“This finding points us toward future work exploring the potential mechanisms of predictors, most notably inflammatory conditions in trigeminal neuralgia development,” Ms. Tang concluded.

She declined to comment further on the findings, noting the investigators are still finalizing the results and interpretation.
 

Ask About Meningitis, Fever

Commenting on the findings, Michael D. Staudt, MD, MSc, University Hospitals Cleveland Medical Center, said that many patients who present with classical trigeminal neuralgia will have a blood vessel on MRI that is pressing on the trigeminal nerve.

“Obviously, the nerve is bathed in cerebrospinal fluid. So, if there’s an inflammatory marker, inflammation, or infection that could be injuring the nerve in a way that we don’t yet understand, that could be something that could cause trigeminal neuralgia without having to see a blood vessel,” said Dr. Staudt, who was not involved in the study. “It makes sense, theoretically. Something that’s inflammatory, something that’s irritating, that’s novel.”

Currently, predictive markers include clinical history, response to classical medications such as carbamazepine, and MRI findings, Dr. Staudt noted.

“Someone shows up with symptoms and MRI, and it’s basically do they have a blood vessel or not,” he said. “Treatments are generally within the same categories, but we don’t think it’s the same sort of success rate as seeing a blood vessel.”

Further research is needed, but, in the meantime, Dr. Staudt said, “We can ask patients who show up with facial pain if they’ve ever had meningitis or some sort of fever that preceded their onset of pain.”

The study had no specific funding. Ms. Tang and coauthor Jack Y. Zhang, MS, reported no relevant financial disclosures. Dr. Staudt reported serving as a consultant for Abbott and as a scientific adviser and consultant for Boston Scientific.

A version of this article appeared on Medscape.com.

Meningitis has been highlighted as a novel risk factor for trigeminal neuralgia in a nationwide, propensity-matched study of hospital admissions.

In multivariate analysis, the odds of meningitis were threefold higher in patients admitted with trigeminal neuralgia than in matched controls without trigeminal neuralgia.

This is the first nationwide population-based study of the rare, chronic pain disorder to identify the prevalence of trigeminal neuralgia admissions in the United States and risk factors contributing to trigeminal neuralgia development.

“Our results affirm known associations between trigeminal neuralgia and comorbidities like multiple sclerosis, and they also identify meningitis as a novel risk factor for trigeminal neuralgia,” said investigator Megan Tang, BS, a medical student at the Icahn School of Medicine at Mount Sinai, New York City.

The findings were presented at the American Association of Neurological Surgeons (AANS) 2024 annual meeting.
 

Strong Clinical Risk Factors

Trigeminal neuralgia is a rare pain disorder involving neurovascular compression of the trigeminal nerve. Its etiology and risk factors are poorly understood. Current literature is based on limited datasets and reports inconsistent risk factors across studies.

To better understand the disorder, researchers used International Classification of Diseases (ICD)-9 codes to identify trigeminal neuralgia admissions in the National Inpatient Sample from 2016 to 2019, and then propensity matched them 1:1 to non-trigeminal neuralgia admissions based on demographics, socioeconomic status, and Charlson comorbidity index scores.

Univariate analysis identified 136,345 trigeminal neuralgia admissions or an overall prevalence of 0.096%.

Trigeminal neuralgia admissions had lower morbidity than non-trigeminal neuralgia admissions and a higher prevalence of non-White patients, private insurance, and prolonged length of stay, Ms. Tang said.

Patients admitted for trigeminal neuralgia also had a higher prevalence of several chronic conditions, including hypertension, hyperlipidemia, and osteoarthritis; inflammatory conditions like lupus, meningitis, rheumatoid arthritis, and inflammatory bowel disease; and neurologic conditions including multiple sclerosis, epilepsy, stroke, and neurovascular compression disorders.

In multivariate analysis, investigators identified meningitis as a previously unknown risk factor for trigeminal neuralgia (odds ratio [OR], 3.1; P < .001).

Other strong risk factors were neurovascular compression disorders (OR, 39.82; P < .001) and multiple sclerosis (OR, 12.41; P < .001). Non-White race (Black; OR, 1.09; Hispanic; OR, 1.23; Other; OR, 1.24) and use of Medicaid (OR, 1.07) and other insurance (OR, 1.17) were demographic risk factors for trigeminal neuralgia.

“This finding points us toward future work exploring the potential mechanisms of predictors, most notably inflammatory conditions in trigeminal neuralgia development,” Ms. Tang concluded.

She declined to comment further on the findings, noting the investigators are still finalizing the results and interpretation.
 

Ask About Meningitis, Fever

Commenting on the findings, Michael D. Staudt, MD, MSc, University Hospitals Cleveland Medical Center, said that many patients who present with classical trigeminal neuralgia will have a blood vessel on MRI that is pressing on the trigeminal nerve.

“Obviously, the nerve is bathed in cerebrospinal fluid. So, if there’s an inflammatory marker, inflammation, or infection that could be injuring the nerve in a way that we don’t yet understand, that could be something that could cause trigeminal neuralgia without having to see a blood vessel,” said Dr. Staudt, who was not involved in the study. “It makes sense, theoretically. Something that’s inflammatory, something that’s irritating, that’s novel.”

Currently, predictive markers include clinical history, response to classical medications such as carbamazepine, and MRI findings, Dr. Staudt noted.

“Someone shows up with symptoms and MRI, and it’s basically do they have a blood vessel or not,” he said. “Treatments are generally within the same categories, but we don’t think it’s the same sort of success rate as seeing a blood vessel.”

Further research is needed, but, in the meantime, Dr. Staudt said, “We can ask patients who show up with facial pain if they’ve ever had meningitis or some sort of fever that preceded their onset of pain.”

The study had no specific funding. Ms. Tang and coauthor Jack Y. Zhang, MS, reported no relevant financial disclosures. Dr. Staudt reported serving as a consultant for Abbott and as a scientific adviser and consultant for Boston Scientific.

A version of this article appeared on Medscape.com.

Meningitis has been highlighted as a novel risk factor for trigeminal neuralgia in a nationwide, propensity-matched study of hospital admissions.

In multivariate analysis, the odds of meningitis were threefold higher in patients admitted with trigeminal neuralgia than in matched controls without trigeminal neuralgia.

This is the first nationwide population-based study of the rare, chronic pain disorder to identify the prevalence of trigeminal neuralgia admissions in the United States and risk factors contributing to trigeminal neuralgia development.

“Our results affirm known associations between trigeminal neuralgia and comorbidities like multiple sclerosis, and they also identify meningitis as a novel risk factor for trigeminal neuralgia,” said investigator Megan Tang, BS, a medical student at the Icahn School of Medicine at Mount Sinai, New York City.

The findings were presented at the American Association of Neurological Surgeons (AANS) 2024 annual meeting.
 

Strong Clinical Risk Factors

Trigeminal neuralgia is a rare pain disorder involving neurovascular compression of the trigeminal nerve. Its etiology and risk factors are poorly understood. Current literature is based on limited datasets and reports inconsistent risk factors across studies.

To better understand the disorder, researchers used International Classification of Diseases (ICD)-9 codes to identify trigeminal neuralgia admissions in the National Inpatient Sample from 2016 to 2019, and then propensity matched them 1:1 to non-trigeminal neuralgia admissions based on demographics, socioeconomic status, and Charlson comorbidity index scores.

Univariate analysis identified 136,345 trigeminal neuralgia admissions or an overall prevalence of 0.096%.

Trigeminal neuralgia admissions had lower morbidity than non-trigeminal neuralgia admissions and a higher prevalence of non-White patients, private insurance, and prolonged length of stay, Ms. Tang said.

Patients admitted for trigeminal neuralgia also had a higher prevalence of several chronic conditions, including hypertension, hyperlipidemia, and osteoarthritis; inflammatory conditions like lupus, meningitis, rheumatoid arthritis, and inflammatory bowel disease; and neurologic conditions including multiple sclerosis, epilepsy, stroke, and neurovascular compression disorders.

In multivariate analysis, investigators identified meningitis as a previously unknown risk factor for trigeminal neuralgia (odds ratio [OR], 3.1; P < .001).

Other strong risk factors were neurovascular compression disorders (OR, 39.82; P < .001) and multiple sclerosis (OR, 12.41; P < .001). Non-White race (Black; OR, 1.09; Hispanic; OR, 1.23; Other; OR, 1.24) and use of Medicaid (OR, 1.07) and other insurance (OR, 1.17) were demographic risk factors for trigeminal neuralgia.

“This finding points us toward future work exploring the potential mechanisms of predictors, most notably inflammatory conditions in trigeminal neuralgia development,” Ms. Tang concluded.

She declined to comment further on the findings, noting the investigators are still finalizing the results and interpretation.
 

Ask About Meningitis, Fever

Commenting on the findings, Michael D. Staudt, MD, MSc, University Hospitals Cleveland Medical Center, said that many patients who present with classical trigeminal neuralgia will have a blood vessel on MRI that is pressing on the trigeminal nerve.

“Obviously, the nerve is bathed in cerebrospinal fluid. So, if there’s an inflammatory marker, inflammation, or infection that could be injuring the nerve in a way that we don’t yet understand, that could be something that could cause trigeminal neuralgia without having to see a blood vessel,” said Dr. Staudt, who was not involved in the study. “It makes sense, theoretically. Something that’s inflammatory, something that’s irritating, that’s novel.”

Currently, predictive markers include clinical history, response to classical medications such as carbamazepine, and MRI findings, Dr. Staudt noted.

“Someone shows up with symptoms and MRI, and it’s basically do they have a blood vessel or not,” he said. “Treatments are generally within the same categories, but we don’t think it’s the same sort of success rate as seeing a blood vessel.”

Further research is needed, but, in the meantime, Dr. Staudt said, “We can ask patients who show up with facial pain if they’ve ever had meningitis or some sort of fever that preceded their onset of pain.”

The study had no specific funding. Ms. Tang and coauthor Jack Y. Zhang, MS, reported no relevant financial disclosures. Dr. Staudt reported serving as a consultant for Abbott and as a scientific adviser and consultant for Boston Scientific.

A version of this article appeared on Medscape.com.

Racial discrimination in Black Americans is associated with an increased risk of developing Alzheimer’s disease (AD) in later life, new findings showed.

Researchers found that Black Americans who experience racism in their 40s and 50s are more likely to have increased serum levels of AD biomarkers p-tau181 and neurofilament light (NfL) more than a decade later.

“We know that Black Americans are at an elevated risk of Alzheimer’s disease and other dementias compared to non-Hispanic White Americans, but we don’t fully understand all the factors that contribute to this disproportionate risk,” Michelle Mielke, PhD, co-author and professor of epidemiology and prevention at Wake Forest University School of Medicine, Winston-Salem, North Carolina, said in a press release.

Recent data show AD is twice as prevalent in Black Americans as in Whites, at 18.6% and 10%, respectively. Dr. Mielke said this level of disparity cannot be attributed solely to genetic differences, and evidence suggests that racism and its related stress may play a role.

The findings were published online in Alzheimer’s and Dementia.
 

AD Biomarker Testing

To further explore a possible link between exposure to racism and AD risk, investigators analyzed data from the Family and Community Health Study, a multisite, longitudinal investigation that included more than 800 families in the United States.

Blood samples and information on racial discrimination were collected from 255 middle-aged Black Americans between 2002 and 2005.

Blood samples were tested for serum phosphorylated tau181 (p-Tau181), a marker of AD pathology; NfL, a nonspecific marker of neurodegeneration; and glial fibrillary acidic protein (GFAP), a marker of brain inflammation.

Participants answered questions about racial discrimination, which included whether they have been subjected to disrespectful treatment including racial slurs, harassment from law enforcement, or if they had ever been excluded from social activities because of their race.

The sample included 212 females and 43 males with a mean age of 46. Most participants (70%) lived in urban areas.
 

Stress-Related?

Investigators found no correlation between racial discrimination and increased levels of AD blood biomarkers in 2008 when participants were a mean age of 46 years. However, 11 years later, when participants were roughly 57 years old, investigators found experiencing racism in middle age was significantly correlated with higher levels of both p-Tau181 (r = 0.158; P ≤ .012) and NfL (r = 0.143; P ≤ .023). There was no significant association between reported discrimination and GFAP.

“These findings support the hypothesis that unique life stressors encountered by Black Americans in midlife become biologically embedded and contribute to AD pathology and neurodegeneration later in life,” the authors wrote.

Investigators speculated based on previous research that the stress related to discrimination may be associated with reductions in hippocampal and prefrontal cortex volumes and neurodegeneration in general.

Dr. Mielke also said it’s clear that future studies should focus on racism experienced by Black Americans to further understand their risk for dementia.

“This research can help inform policies and interventions to reduce racial disparities and reduce dementia risk,” she said.

Study limitations include the absence of amyloid biomarkers. Investigators noted that participants had non-detectable levels of amyloid, likely due to the use of serum vs cerebrospinal fluid.

The study was funded by the National Institute on Aging and the National Heart, Lung, and Blood Institute. Mielke reported serving on scientific advisory boards and/or having consulted for Acadia, Biogen, Eisai, LabCorp, Lilly, Merck, PeerView Institute, Roche, Siemens Healthineers, and Sunbird Bio.

A version of this article appeared on Medscape.com.

Racial discrimination in Black Americans is associated with an increased risk of developing Alzheimer’s disease (AD) in later life, new findings showed.

Researchers found that Black Americans who experience racism in their 40s and 50s are more likely to have increased serum levels of AD biomarkers p-tau181 and neurofilament light (NfL) more than a decade later.

“We know that Black Americans are at an elevated risk of Alzheimer’s disease and other dementias compared to non-Hispanic White Americans, but we don’t fully understand all the factors that contribute to this disproportionate risk,” Michelle Mielke, PhD, co-author and professor of epidemiology and prevention at Wake Forest University School of Medicine, Winston-Salem, North Carolina, said in a press release.

Recent data show AD is twice as prevalent in Black Americans as in Whites, at 18.6% and 10%, respectively. Dr. Mielke said this level of disparity cannot be attributed solely to genetic differences, and evidence suggests that racism and its related stress may play a role.

The findings were published online in Alzheimer’s and Dementia.
 

AD Biomarker Testing

To further explore a possible link between exposure to racism and AD risk, investigators analyzed data from the Family and Community Health Study, a multisite, longitudinal investigation that included more than 800 families in the United States.

Blood samples and information on racial discrimination were collected from 255 middle-aged Black Americans between 2002 and 2005.

Blood samples were tested for serum phosphorylated tau181 (p-Tau181), a marker of AD pathology; NfL, a nonspecific marker of neurodegeneration; and glial fibrillary acidic protein (GFAP), a marker of brain inflammation.

Participants answered questions about racial discrimination, which included whether they have been subjected to disrespectful treatment including racial slurs, harassment from law enforcement, or if they had ever been excluded from social activities because of their race.

The sample included 212 females and 43 males with a mean age of 46. Most participants (70%) lived in urban areas.
 

Stress-Related?

Investigators found no correlation between racial discrimination and increased levels of AD blood biomarkers in 2008 when participants were a mean age of 46 years. However, 11 years later, when participants were roughly 57 years old, investigators found experiencing racism in middle age was significantly correlated with higher levels of both p-Tau181 (r = 0.158; P ≤ .012) and NfL (r = 0.143; P ≤ .023). There was no significant association between reported discrimination and GFAP.

“These findings support the hypothesis that unique life stressors encountered by Black Americans in midlife become biologically embedded and contribute to AD pathology and neurodegeneration later in life,” the authors wrote.

Investigators speculated based on previous research that the stress related to discrimination may be associated with reductions in hippocampal and prefrontal cortex volumes and neurodegeneration in general.

Dr. Mielke also said it’s clear that future studies should focus on racism experienced by Black Americans to further understand their risk for dementia.

“This research can help inform policies and interventions to reduce racial disparities and reduce dementia risk,” she said.

Study limitations include the absence of amyloid biomarkers. Investigators noted that participants had non-detectable levels of amyloid, likely due to the use of serum vs cerebrospinal fluid.

The study was funded by the National Institute on Aging and the National Heart, Lung, and Blood Institute. Mielke reported serving on scientific advisory boards and/or having consulted for Acadia, Biogen, Eisai, LabCorp, Lilly, Merck, PeerView Institute, Roche, Siemens Healthineers, and Sunbird Bio.

A version of this article appeared on Medscape.com.

Racial discrimination in Black Americans is associated with an increased risk of developing Alzheimer’s disease (AD) in later life, new findings showed.

Researchers found that Black Americans who experience racism in their 40s and 50s are more likely to have increased serum levels of AD biomarkers p-tau181 and neurofilament light (NfL) more than a decade later.

“We know that Black Americans are at an elevated risk of Alzheimer’s disease and other dementias compared to non-Hispanic White Americans, but we don’t fully understand all the factors that contribute to this disproportionate risk,” Michelle Mielke, PhD, co-author and professor of epidemiology and prevention at Wake Forest University School of Medicine, Winston-Salem, North Carolina, said in a press release.

Recent data show AD is twice as prevalent in Black Americans as in Whites, at 18.6% and 10%, respectively. Dr. Mielke said this level of disparity cannot be attributed solely to genetic differences, and evidence suggests that racism and its related stress may play a role.

The findings were published online in Alzheimer’s and Dementia.
 

AD Biomarker Testing

To further explore a possible link between exposure to racism and AD risk, investigators analyzed data from the Family and Community Health Study, a multisite, longitudinal investigation that included more than 800 families in the United States.

Blood samples and information on racial discrimination were collected from 255 middle-aged Black Americans between 2002 and 2005.

Blood samples were tested for serum phosphorylated tau181 (p-Tau181), a marker of AD pathology; NfL, a nonspecific marker of neurodegeneration; and glial fibrillary acidic protein (GFAP), a marker of brain inflammation.

Participants answered questions about racial discrimination, which included whether they have been subjected to disrespectful treatment including racial slurs, harassment from law enforcement, or if they had ever been excluded from social activities because of their race.

The sample included 212 females and 43 males with a mean age of 46. Most participants (70%) lived in urban areas.
 

Stress-Related?

Investigators found no correlation between racial discrimination and increased levels of AD blood biomarkers in 2008 when participants were a mean age of 46 years. However, 11 years later, when participants were roughly 57 years old, investigators found experiencing racism in middle age was significantly correlated with higher levels of both p-Tau181 (r = 0.158; P ≤ .012) and NfL (r = 0.143; P ≤ .023). There was no significant association between reported discrimination and GFAP.

“These findings support the hypothesis that unique life stressors encountered by Black Americans in midlife become biologically embedded and contribute to AD pathology and neurodegeneration later in life,” the authors wrote.

Investigators speculated based on previous research that the stress related to discrimination may be associated with reductions in hippocampal and prefrontal cortex volumes and neurodegeneration in general.

Dr. Mielke also said it’s clear that future studies should focus on racism experienced by Black Americans to further understand their risk for dementia.

“This research can help inform policies and interventions to reduce racial disparities and reduce dementia risk,” she said.

Study limitations include the absence of amyloid biomarkers. Investigators noted that participants had non-detectable levels of amyloid, likely due to the use of serum vs cerebrospinal fluid.

The study was funded by the National Institute on Aging and the National Heart, Lung, and Blood Institute. Mielke reported serving on scientific advisory boards and/or having consulted for Acadia, Biogen, Eisai, LabCorp, Lilly, Merck, PeerView Institute, Roche, Siemens Healthineers, and Sunbird Bio.

A version of this article appeared on Medscape.com.