Department of Neurology, University of Colorado, Aurora, CO, USA.
Department of Neurology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.
Epilepsy Behav. 2021 Mar;116:107767. doi: 10.1016/j.yebeh.2021.107767. Epub 2021 Feb 2.
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.
分离性发作（也称为心因性非癫痫性发作）是一种常见的功能性神经障碍，很难与癫痫发作区分开来。分离性发作患者带来诊断挑战，导致治疗延误、治疗不当，以及大量的医疗保健利用和相关费用。UCLA 的 Kerr 及其同事开发了分离性发作可能性评分（DSLS），以根据临床和用药史以及发作症状学特征，区分癫痫发作和分离性发作患者。我们在科罗拉多大学进行了该计算器的验证，科罗拉多大学是国家癫痫中心四级协会的成员。尽管两个群体中与癫痫发作和分离性发作相关的因素存在局部差异，但 DSLS 在 81%的患者中准确预测了诊断。DSLS 可以成为辅助采集病史的有用工具，对于这些难以区分的患者群体的临床决策可能具有重要作用。
