Evidence map›Paper›PMID 40374619›Full record

ArticleScientific reports2025

The association between Oxford Acute Severity of Illness Score and mortality in critical hemorrhagic stroke patients: a retrospective cohort study.

Yuan Jiang, Shuying Qiu, Qianyi Peng, Li Huang, Lina Zhang

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In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yuan JiangDepartment of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
Shuying QiuDepartment of Critical Care Medicine, Third Xiangya Hospital, Central South University, Changsha, 410013, Hunan, People's Republic of China.
Qianyi PengDepartment of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China.
Li HuangDepartment of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China. huangl200903@126.com.
Lina ZhangDepartment of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China. 2675283030@qq.com.

Funding

National Natural Science Foundation of China 82202421
6 · The paper itself

Abstract

Hemorrhagic stroke is a kind of disastrous cerebrovascular disease, Oxford Acute Severity of Illness Score (OASIS) was only evaluated among mixed critically ill patients, its predictive value in hemorrhagic stroke patients remains undiscovered. Evaluate the association between Oxford Acute Severity of Illness Score (OASIS) and mortality in critical hemorrhagic stroke patients. A retrospective cohort study. Data were extracted from a public database named Medical Information Mart for Intensive Care III (MIMIC-III). 1838 critical hemorrhagic stroke patients were included, multivariable logistic regression and receiver operating characteristic (ROC) curves were mainly used to analyze data. ROC curve analyses were also conducted in hemorrhagic stroke patients stratified by Glasgow Coma Scale (GCS) as subgroup analyses. The primary outcome was 30-day mortality. The sample size of this study is 1838 patients. The OASIS was significantly correlated with 30-day mortality (Odds ratio (OR) 1.125 per one-point increase, 95% confidence interval (CI) [1.107-1.144], p < 0.0001), the area under the ROC curve (AUC) of OASIS was comparable to that of Simplified Acute Physiology Score II (SAPSII) for predicting 30-day mortality (AUC: 0.7702 vs. 0.788, P = 0.096). Sensitivity analyses showed the results were stable. In subgroup analyses OASIS also has the similar discriminatory power to predict 30-day mortality for the severe (GCS 3-8) and mild (13-15) hemorrhagic stroke patients, but it has lower discriminatory power to predict 30-day mortality for the moderate (9-12) patients. The OASIS might serve as an alternative choice to predict outcomes of severe and mild hemorrhagic stroke patients in consideration of the practicality. Selection bias was unavoidable because this study was a retrospective observational study.

Indexed as

Hemorrhagic StrokeSeverity of Illness IndexAgedCritical IllnessFemaleGlasgow Coma ScaleHumansMaleMiddle AgedPrognosisRetrospective StudiesROC CurveHemorrhagic strokeIntensive care unitOASISPrognosis

Identifiers

PMID40374619
PMCPMC12081917

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.