Neurophysiologic Encephalopathy Severity Index (NESI) - Data and Code

Le résumé fourni par la source

Disorders of consciousness are assessed with multiple bedside scales that measure overlapping but non-identical aspects of neurological function, producing fragmented and often discordant assessments in acute and critical care. This resource accompanies the Neurophysiologic Encephalopathy Severity Index (NESI), a continuous electroencephalography (EEG)-based measure of brain dysfunction that places patients on a single physiological continuum spanning alertness, delirium, sedation, and coma. NESI is derived by extracting generalized EEG representations from a clinical EEG foundation model (MORGOTH), compressing them with a contrastive encoder, and learning a continuous severity score with a pairwise ranking head trained jointly across four clinical scales (RASS, GCS, CAM-S, and ICANS). On a held- out test set, NESI agreed strongly with all four scales (Spearman correlations 0.72-0.84), showed higher AUROC than GCS for in-hospital mortality, and tracked propofol effect-site concentration more closely than RASS. This release provides the curated 10-minute EEG segments, the MORGOTH feature activations, the assembled training/validation/test data, trained model checkpoints, the propofol pharmacokinetic and medication-exposure derivatives, and per-segment metadata, together with the complete analysis code (mirrored on GitHub). It is intended to let credentialed users retrain the models and reproduce the figures and tables from the ground up.

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