Distinct Semiological Clusters of Psychogenic Non-Epileptic Seizures Identified by Video-EEG Monitoring
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 50
- 试验地点
- 1
- 主要终点
- Semiological cluster classification of PNES events
研究概览
简要总结
This retrospective observational study evaluates semiological and electroclinical characteristics of psychogenic nonepileptic seizures (PNES) in adult patients who underwent video-EEG monitoring. The study aims to identify distinct semiological patterns and classify PNES events based on observable ictal features recorded during video-EEG monitoring.
详细描述
Psychogenic nonepileptic seizures (PNES) are paroxysmal events that resemble epileptic seizures but are not associated with ictal epileptiform activity on electroencephalography (EEG). Video-EEG monitoring is the gold standard for diagnosis.
In this retrospective observational study, video-EEG recordings and clinical data of 52 adult patients diagnosed with PNES were reviewed. Semiological features observed during recorded events were systematically evaluated and coded as binary variables.
Hierarchical cluster analysis (Ward's method with squared Euclidean distance) was used to identify semiological patterns. The aim was to define clinically meaningful clusters of PNES events and to describe their demographic and clinical correlates.
研究设计
- 研究类型
- Observational
- 观察模型
- Case Only
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 18 Years 至 —（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Adults aged 18 years and older Diagnosis of psychogenic nonepileptic seizures (PNES) confirmed by video-EEG monitoring Availability of complete video-EEG recordings capturing at least one typical event Availability of sufficient clinical and demographic data in medical records for retrospective evaluation
排除标准
- •Patients younger than 18 years Incomplete or poor-quality video-EEG recordings Absence of recorded typical PNES events during video-EEG monitoring Insufficient clinical documentation for retrospective analysis
研究组 & 干预措施
patients
patients with pnes underwent video eeg monitoring
结局指标
主要结局
Semiological cluster classification of PNES events
时间窗: Baseline (retrospective video-EEG analysis)
Classification of PNES events into semiological clusters (pauci-kinetic, hyperkinetic, hyperventilation-eye closure) based on ictal features identified during video-EEG monitoring.
次要结局
- pnes events(baseline)
研究者
Irem Fatma Uludag
Distinct Semiological Clusters of Psychogenic Non-Epileptic Seizures Identified by Video-EEG Monitoring
Tepecik Training and Research Hospital