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

Institutions

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
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prediction of Mortality After Convulsive Status Epilepticus: The Status Epilepticus M 3 A 2 S 2 H Score

Eris Spirollari, Stephan A. Mayer, Chirag D. Gandhi, Bridget Nolan et al.
1 citations
Journal of Intensive Care Medicine
Epilepsy research and treatment
1.47
article

Prediction of Mortality After Convulsive Status Epilepticus: The Status Epilepticus M 3 A 2 S 2 H Score

Eris Spirollari, Stephan A. Mayer, Chirag D. Gandhi, Bridget Nolan, Anaz Uddin, Smit Patel, Jonathan Ogulnick, Philip Overby, Andrew Bauerschmidt, Galadu Subah, Leah Blowes, Mill Etienne, Ariel Sacknovitz, Manisha Holmes, Fawaz Al‐Mufti, Tracey Milligan, Sanjana Marikunte, Steven M. Wolf, Keshav Raghavendran, Rolla Nuoman, Eric Feldstein, Jessica Bloomfield, Venkat Ramani, Jon Rosenberg, Ankita Jain
article en
1 citations

Abstract

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.

Journal of Intensive Care MedicineVol. 40(10)
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)
Good health and well-being
Openalex Percentile: Top 21%
Epilepsy research and treatment
1.47
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.