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Identifying seizure clusters in patients with psychogenic nonepileptic seizures
Grayson L Baird1, Lisa L Harlow2, Jason T Machan3
1Lifespan Biostatistics Core, Rhode Island Hospital, United States; Diagnostic Imaging, Rhode Island Hospital, The Warren Alpert Medical School of Brown University, United States; University of Rhode Island, Department of Psychology, United States.
Abstract:
The present study explored how seizure clusters may be defined for those with psychogenic nonepileptic seizures (PNES), a topic for which there is a paucity of literature. The sample was drawn from a multisite randomized clinical trial for PNES; seizure data are from participants' seizure diaries. Three possible cluster definitions were examined: 1) common clinical definition, where ≥3 seizures in a day is considered a cluster, along with two novel statistical definitions, where ≥3 seizures in a day are considered a cluster if the observed number of seizures statistically exceeds what would be expected relative to a patient's: 1) average seizure rate prior to the trial, 2) observed seizure rate for the previous seven days. Prevalence of clusters was 62-68% depending on cluster definition used, and occurrence rate of clusters was 6-19% depending on cluster definition. Based on these data, clusters seem to be common in patients with PNES, and more research is needed to identify if clusters are related to triggers and outcomes.
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