Link found between frequent seizures during menstrual cycle and drug-resistant epilepsy

More frequent seizures during the menstrual cycle in women with genetic generalized epilepsy have been linked for the first time to drug-resistant epilepsy, when anti-seizure medications don't work, according to a Rutgers coauthored study that may help lead to tailored treatments.

Women with a form of genetic generalized epilepsy called catamenial epilepsy – when seizure frequency increases during their menstrual cycle – were nearly four times more likely to have drug-resistant epilepsy than women who experience no changes in frequency, according to the study in the journal Neurology. This association was found in two independent samples.

"Typically, genetic generalized epilepsy is thought to respond better to anti-seizure medications than focal epilepsy. However, previous studies suggest a minority of individuals, between 18 percent and 36 percent, with genetic generalized epilepsy do not respond well to these medications," said senior author Gary A. Heiman, an associate professor in the Department of Genetics in the School of Arts and Sciences at Rutgers University–New Brunswick.

"It is unclear why seizures in these individuals do not respond well, and we sought to investigate why. We found a surprising association between women's menstrual cycle and those with drug-resistant genetic generalized epilepsy. Understanding the reasons for this association could lead to alternative, personalized treatment options for at least some patients."

In generalized epilepsy, seizures begin on both sides of the brain, while focal epilepsy seizures start in only one part of the brain.

In 2015, about 3.4 million people, including 470,000 children, had epilepsy in the United States, according to the U.S. Centers for Disease Control and Prevention. Anti-seizure drugs limit the spread of seizures in the brain and work for about two-thirds of people with epilepsy. Other options include surgery.

The study included 589 patients with or without drug-resistant genetic generalized epilepsy at Columbia Comprehensive Epilepsy Center and 66 patients at Yale Comprehensive Epilepsy Center. The goal was to develop and validate a model for predicting generalized epilepsy that resists drug treatment.

Such models may allow healthcare professionals to identify patients who may benefit from more aggressive or different kinds of treatment.

Women whose seizures increase during their menstrual cycle and have drug-resistant genetic generalized epilepsy may represent a homogeneous group with a specific cause. Genetic and treatment studies of these women could uncover the reason, and tailored treatment could be developed. Although our study sample is one of the largest to date and found in two independent samples, further investigation using larger sample sizes is required."

Gary A. Heiman, Study Senior Author and Associate Professor, Department of Genetics, School of Arts and Sciences, Rutgers University–New Brunswick

Suzanne Thornton, who earned a doctorate at Rutgers and is now at Swarthmore University, contributed to the study. Coauthors include scientists at Columbia University Medical Center, University of Miami, Yale University, University of Oxford, Free University of Brussels, Monash University, The Royal Melbourne Hospital, The University of Melbourne and Alfred Health.

Source:
Journal reference:

Choi, H., et al. (2020) Development and validation of a predictive model of drug-resistant genetic generalized epilepsy. Neurology. doi.org/10.1212/WNL.0000000000010597.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
New insights into stiff-person syndrome, advancing diagnosis and treatment