Prediction of Mortality After Convulsive Status Epilepticus: The Status Epilepticus M <sup>3</sup> A <sup>2</sup> S <sup>2</sup> H Score
PurposeThis 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.MethodsRetrospective 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 M<sup>3</sup>A<sup>2</sup>S<sup>2</sup>H, was generated using variables that were frequent (>1%) and had a significant impact on mortality.ResultsThe 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 M<sup>3</sup>A<sup>2</sup>S<sup>2</sup>H 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).ConclusionsThis 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 M<sup>3</sup>A<sup>2</sup>S<sup>2</sup>H score can help predict the risk of death or disability even in hospitals without advanced brain monitoring.
Authors
- Eris Spirollari (ORCID: https://orcid.org/0000-0003-4468-9746)
- Stephan A. Mayer (ORCID: https://orcid.org/0000-0002-1272-6277)
- Chirag D. Gandhi (ORCID: https://orcid.org/0000-0002-8423-0414)
- Bridget Nolan (ORCID: https://orcid.org/0000-0002-7171-2019)
- Anaz Uddin (ORCID: https://orcid.org/0000-0002-7987-0329)
- Smit Patel (ORCID: https://orcid.org/0000-0003-4369-7816)
- Jonathan Ogulnick (ORCID: https://orcid.org/0000-0002-3657-7894)
- Philip Overby (ORCID: https://orcid.org/0000-0002-8303-995X)
- Andrew Bauerschmidt (ORCID: https://orcid.org/0000-0001-8535-127X)
- Galadu Subah (ORCID: https://orcid.org/0009-0008-7629-2798)
- Leah Blowes
- Mill Etienne (ORCID: https://orcid.org/0000-0002-8086-3986)
- Ariel Sacknovitz (ORCID: https://orcid.org/0009-0008-6236-1190)
- Manisha Holmes (ORCID: https://orcid.org/0000-0002-4262-0764)
- Fawaz Al‐Mufti (ORCID: https://orcid.org/0000-0003-4461-7005)
- Tracey Milligan (ORCID: https://orcid.org/0000-0002-0154-4654)
- Sanjana Marikunte (ORCID: https://orcid.org/0000-0002-4392-6845)
- Steven M. Wolf (ORCID: https://orcid.org/0000-0002-7602-3474)
- Keshav Raghavendran
- Rolla Nuoman (ORCID: https://orcid.org/0000-0001-5416-7461)
- Eric Feldstein (ORCID: https://orcid.org/0000-0002-1952-4555)
- Jessica Bloomfield
- Venkat Ramani
- Jon Rosenberg (ORCID: https://orcid.org/0000-0003-1870-9854)
- Ankita Jain (ORCID: https://orcid.org/0000-0002-2636-3665)
Institutions
- University of Maryland, Baltimore (US)
- Hartford Hospital (US)
- Westchester Medical Center (US)
- New York Medical College (US)
- Stony Brook School (US)
- Hartford Financial Services (United States)
- Stony Brook University (US)
- Icahn School of Medicine at Mount Sinai (US)
Publication Details
- Journal
- Journal of Intensive Care Medicine
- Published
- 2025-04-01
- DOI
- https://doi.org/10.1177/08850666251331925
- Citations
- 1
- Primary Topic
- Epilepsy research and treatment
- Type
- article
- Field-Weighted Citation Impact
- 1.47