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

IF 2.1 3区 医学 Q2 CRITICAL CARE MEDICINE
Journal of Intensive Care Medicine Pub Date : 2025-10-01 Epub Date: 2025-04-01 DOI:10.1177/08850666251331925
Fawaz Al-Mufti, Smit D Patel, Jonathan Ogulnick, Ariel Sacknovitz, Ankita Jain, Eris Spirollari, Keshav Raghavendran, Leah Blowes, Bridget Nolan, Jessica Bloomfield, Sanjana Marikunte, Galadu Subah, Eric Feldstein, Anaz Uddin, Rolla Nuoman, Jon Rosenberg, Andrew Bauerschmidt, Philip Overby, Venkat Ramani, Steven M Wolf, Tracey Milligan, Manisha Holmes, Chirag D Gandhi, Mill Etienne, Stephan A Mayer
{"title":"Prediction of Mortality After Convulsive Status Epilepticus: The Status Epilepticus M<sup>3</sup>A<sup>2</sup>S<sup>2</sup>H Score.","authors":"Fawaz Al-Mufti, Smit D Patel, Jonathan Ogulnick, Ariel Sacknovitz, Ankita Jain, Eris Spirollari, Keshav Raghavendran, Leah Blowes, Bridget Nolan, Jessica Bloomfield, Sanjana Marikunte, Galadu Subah, Eric Feldstein, Anaz Uddin, Rolla Nuoman, Jon Rosenberg, Andrew Bauerschmidt, Philip Overby, Venkat Ramani, Steven M Wolf, Tracey Milligan, Manisha Holmes, Chirag D Gandhi, Mill Etienne, Stephan A Mayer","doi":"10.1177/08850666251331925","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":16307,"journal":{"name":"Journal of Intensive Care Medicine","volume":" ","pages":"1052-1059"},"PeriodicalIF":2.1000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Intensive Care Medicine","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1177/08850666251331925","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/1 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"CRITICAL CARE MEDICINE","Score":null,"Total":0}
引用次数: 0

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 M3A2S2H, 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 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).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 M3A2S2H score can help predict the risk of death or disability even in hospitals without advanced brain monitoring.

惊厥癫痫持续状态后死亡率的预测:癫痫持续状态M3A2S2H评分。
目的本研究旨在调查全国大型队列中与惊厥癫痫持续状态(CSE)相关的住院患者死亡率和死亡预测因素,并建立一个简化的住院死亡率预测评分。方法回顾性分析国家住院患者样本(NIS)数据库2007 - 2014年的数据,包括123,082例成人CSE患者。单变量逻辑检验确定了入院变量、与死亡率相关的神经和医学并发症。一个简化的临床预测评分,称为M3A2S2H,使用频繁(>.1 %)的变量生成,并对死亡率有显著影响。结果医院总死亡率为3.5%。单因素分析显示,年龄较大、女性、既往病史和急性住院条件与死亡率有关。重新分类后,最终构建了包含27个临床变量的多变量模型,并将8个最强的预测因子纳入M3A2S2H评分:缺氧缺血性脑病/心脏骤停(2分);年龄> ~ 60岁,急性症状性CSE,有创机械通气,败血症,转移,慢性肝衰竭(均为1分);药物依从性(-1分)。这些危险因素中≤0、1、2、3、4、≥5个的患者死亡率从0.2%、2.1%、7.8%、20.3%、31.9%逐渐增加到50.0%(即使在没有先进脑监测的医院,p3a2s2h评分也可以帮助预测死亡或残疾的风险)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Intensive Care Medicine
Journal of Intensive Care Medicine CRITICAL CARE MEDICINE-
CiteScore
7.60
自引率
3.20%
发文量
107
期刊介绍: Journal of Intensive Care Medicine (JIC) is a peer-reviewed bi-monthly journal offering medical and surgical clinicians in adult and pediatric intensive care state-of-the-art, broad-based analytic reviews and updates, original articles, reports of large clinical series, techniques and procedures, topic-specific electronic resources, book reviews, and editorials on all aspects of intensive/critical/coronary care.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信