Evidence map›Paper›PMID 41268234›Full record

ArticleAmerican journal of translational research2025

Predictive value of modified early warning score and risk stratification for adverse cardiovascular events in acute chest pain patients.

Caihong Hu, Dongqiao Zhang, Ying Chen, Xiaojing Zhuang, Zhenfa Xian, Shaolin Chen

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Article in American journal of translational research, 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

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Caihong HuDepartment of Emergency, The People's Hospital of Pingshan Shenzhen (Pingshan Hospital, Southern Medical University) Shenzhen 518100, Guangdong, China.
Dongqiao ZhangDepartment of Emergency, The Fifth People's Hospital of Longgang District Shenzhen 518111, Guangdong, China.
Ying ChenDepartment of Geriatric Medicine, The People's Hospital of Pingshan Shenzhen (Pingshan Hospital, Southern Medical University) Shenzhen 518100, Guangdong, China.
Xiaojing ZhuangDepartment of Emergency, The People's Hospital of Pingshan Shenzhen (Pingshan Hospital, Southern Medical University) Shenzhen 518100, Guangdong, China.
Zhenfa XianDepartment of Emergency, The People's Hospital of Pingshan Shenzhen (Pingshan Hospital, Southern Medical University) Shenzhen 518100, Guangdong, China.
Shaolin ChenDepartment of Emergency, Shenzhen People's Hospital (The First Affiliated Hospital, Southern University of Science and Technology; The Second Clinical Medical College, Jinan University) Shenzhen 518020, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the prognostic value of the modified early warning score (MEWS) in predicting major adverse cardiovascular events (MACE) within one month of admission, compared to established cardiac risk scores.

methodsThis retrospective study included 565 adults with acute chest pain who visited the Emergency Department between January 2023 and January 2024. Baseline demographics, medical history, vital signs, and clinical scores were collected. Patients were classified based on the occurrence of MACE - defined as cardiac death, ST-segment elevation myocardial infarction (STEMI), non-ST-segment elevation myocardial infarction (NSTEMI), or coronary revascularization - within one month.

resultsOf the 565 patients, 112 (19.8%) experienced MACE. Patients in the MACE group had significantly higher clinical scores (all P<0.05). The MEWS score exhibited the strongest association with MACE (rho = 0.451, P<0.001) and remained a significant predictor in multivariate logistic regression (odds ratio = 4.416; 95% CI, 3.006-6.488; P<0.001). MEWS demonstrated the highest discriminative ability (area under the curve [AUC] = 0.826) compared to other scores tested. Random forest analysis confirmed MEWS as the most important predictor of MACE.

conclusionThe MEWS score outperforms traditional cardiac risk assessment tools in early prediction of major adverse cardiovascular events in acute chest pain patients. Its use could enhance risk stratification and inform clinical decision-making in emergency settings.

Indexed as

Acute chest painemergency departmentmajor adverse cardiovascular eventsmodified early warning scoreprognostic scoresrisk stratification

Identifiers

PMID41268234
PMCPMC12628206

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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.