Summary: Study identifies a link between women with catamenial epilepsy who suffer more frequent seizures during their menstrual cycle and drug-resistant epilepsy. Those with catamenial epilepsy are almost four times more likely to have drug-resistant epilepsy than women who do not experience an increase in seizure frequency during their menstrual cycle.
Source: Rutgers University
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,” Heiman said. “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.”
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.
About this neurology research article
Source: Rutgers University Contacts: Todd Bates – Rutgers University Image Source: The image is credited to National Institute of Mental Health, National Institutes of Health.
Development and validation of a predictive model of drug-resistant genetic generalized epilepsy
Objective To develop and validate a clinical prediction model for antiepileptic drug-resistant (AED-resistant) genetic generalized epilepsy (GGE).
Method We performed a case-control study of patients with and without drug-resistant GGE, nested within ongoing longitudinal observational studies of AED response at 2 tertiary epilepsy centers. Using a validation dataset, we tested the predictive performance of 3 candidate models, developed from a training dataset. We then tested the candidate models’ predictive ability on an external testing dataset.
Results Of 5,189 patients in the ongoing longitudinal study, 122 met criteria for AED-resistant GGE and 468 met criteria for AED-responsive GGE. There were 66 GGE patients in the external dataset, of whom 17 were cases. Catamenial epilepsy, history of a psychiatric condition, and seizure types were strongly related with drug-resistant GGE case status. Compared to women without catamenial epilepsy, women with catamenial epilepsy had about a four-fold increased risk for AED-DR. The calibration of 3 models, assessing the agreement between observed outcomes and predictions, was adequate. Discriminative ability, as measured with area under the ROC curve (AUC) ranged 0.58–0.65.
Conclusion Catamenial epilepsy, history of a psychiatric condition, and the seizure type combination of generalized tonic clonic, myoclonic, and absence seizures are negative prognostic factors of drug-resistant GGE. The AUC of 0.6 is not consistent with truly effective separation of the groups, suggesting other unmeasured variables may need to be considered in future studies to improve predictability.