4.4 Article

Validation of a predictive calculator to distinguish between patients presenting with dissociative versus epileptic seizures

Journal

EPILEPSY & BEHAVIOR
Volume 116, Issue -, Pages -

Publisher

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.yebeh.2021.107767

Keywords

Psychogenic nonepileptic seizures; Functional seizures; PNES; PNEA; Machine learning; External validation

Funding

  1. NIH [R25 NS065723]

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Dissociative seizures are a common neurological disorder that can be difficult to distinguish from epileptic seizures, but the DSLS score can accurately predict the diagnosis and play an important role in clinical decision making.
Dissociative seizures (also known as psychogenic nonepileptic seizures) are a common functional neurological disorder that can be difficult to distinguish from epileptic seizures. Patients with dissociative seizures provide diagnostic challenges, leading to delays in care, inappropriate care, and significant healthcare utilization and associated costs. The dissociative seizure likelihood score (DSLS) was developed by Kerr and colleagues at UCLA to distinguish between patients with epileptic seizures and dissociative seizures based on clinical and medication history as well as features of seizure semiology. We validated this calculator at the University of Colorado, which is a Level 4 National Association of Epilepsy Center. The DSLS accurately predicted the diagnosis in 81% of patients, despite local variability in the factors associated with epileptic versus dissociative seizures between the two populations. The DSLS can be a useful tool to assist with history taking and may have important utility for clinical decision making with these difficult to distinguish patient populations. (C) 2021 Elsevier Inc. All rights reserved.

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