2HELPS2B: an EEG-based risk score for seizure probability in hospitalized patients

Résumé fourni par la source

**Importance.** Continuous EEG detects seizures in hospitalized patients, but monitoring is resource-intensive; a simple risk score could target it. **Objective / Methods.** Using 5,742 continuous-EEG records from the Critical Care EEG Monitoring Research Consortium, we identified EEG and clinical predictors of seizures and used a machine-learning method (RiskSLIM) to derive a simple integer point score. **Results.** The resulting **2HELPS2B** score sums points for: any IIC pattern frequency >2 Hz (2 points), epileptiform discharges, lateralized periodic discharges / lateralized rhythmic delta activity / bilateral independent periodic discharges, prior seizure, and brief (potentially ictal) rhythmic discharges. Seizure risk rose from ~5% (score 0) to >95% (score >=5), with cross-validated AUC ~0.82. **Conclusion.** 2HELPS2B stratifies seizure risk on continuous EEG and can guide monitoring duration. This project releases the analysis code and de- identified data. Code and de-identified CCEMRC data to reproduce the seizure-probability analyses.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.