NYMC Faculty Publications

Prediction of Mortality After Convulsive Status Epilepticus: The Status Epilepticus M3A2S2H Score

Author Type(s)

Student, Faculty

DOI

10.1177/08850666251331925

Journal Title

Journal of Intensive Care Medicine

First Page

1052

Last Page

1059

Document Type

Article

Publication Date

10-1-2025

Department

Neurology

Second Department

Pediatrics

Third Department

Neurosurgery

Keywords

cardiac arrest, mechanical ventilation, mortality, seizures, status epilepticus

Disciplines

Medicine and Health Sciences

Abstract

Purpose: This study aimed to investigate in-patient mortality and predictors of death associated with convulsive status epilepticus (CSE) in a large nationwide cohort and create a simplified predictive score for in-hospital mortality. Methods: Retrospective data from the National Inpatient Sample (NIS) database between 2007 and 2014 were analyzed, including 123,082 adults with CSE. Univariate logistic testing identified admission variables, neurological and medical complications associated with mortality. A simplified clinical prediction score, called M3A2S2H, was generated using variables that were frequent (>1%) and had a significant impact on mortality. Results: The overall hospital mortality rate was 3.5%. Univariate analysis revealed that older age, female gender, past medical history, and acute hospital conditions were related to mortality. After reclassification, a final multivariable model with 27 clinical variables was constructed, and the eight strongest predictors were included in the M3A2S2H score: hypoxic-ischemic encephalopathy/cardiac arrest (2 points); age >60 years, acute symptomatic CSE, invasive mechanical ventilation, sepsis, metastases, and chronic liver failure (all 1 point); and medication nonadherence (−1 point). The mortality rate among patients with ≤0, 1, 2, 3, 4, or ≥5 of these risk factors progressively increased from 0.2%, 2.1%, 7.8%, 20.3%, 31.9%, to 50.0% (P < 0.0001). Additionally, a similar stepwise trend was observed regarding discharge to a facility versus home without services (P < 0.0001). Conclusions: This study demonstrates that mortality in CSE cases occurs in 3.5% of adult hospital admissions. Identification of specific acute and chronic conditions using the standardized M3A2S2H score can help predict the risk of death or disability even in hospitals without advanced brain monitoring.

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