Evidence map›Paper›PMID 38003929›Full record

ArticleJournal of personalized medicine2023

PEAL Score to Predict the Mortality Risk of Cardiogenic Shock in the Emergency Department: An Observational Study.

Jen-Wen Ma, Sung-Yuan Hu, Ming-Shun Hsieh, Yi-Chen Lee, Shih-Che Huang, Kuan-Ju Chen, Yan-Zin Chang, Yi-Chun Tsai

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Article in Journal of personalized medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jen-Wen MaDepartment of Emergency Medicine, Taichung Veterans General Hospital, Taichung 407219, Taiwan.ORCID 0000-0002-5156-9075
Sung-Yuan HuDepartment of Emergency Medicine, Taichung Veterans General Hospital, Taichung 407219, Taiwan.
Ming-Shun HsiehSchool of Medicine, National Yang Ming Chiao Tung University, Taipei 11217, Taiwan.
Yi-Chen LeeDepartment of Emergency Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
Shih-Che HuangSchool of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan.
Kuan-Ju ChenDepartment of Emergency Medicine, Taichung Veterans General Hospital, Taichung 407219, Taiwan.
Yan-Zin ChangInstitute of Medicine, School of Medicine, Chung Shan Medical University, Taichung 40201, Taiwan.
Yi-Chun TsaiDepartment of Emergency Medicine, Taichung Veterans General Hospital, Taichung 407219, Taiwan.ORCID 0000-0003-2734-392X

Funding

Taichung Veterans General Hospital TCVGH-1117202C, TCVGH-1127203C, and TCVGH-T1127801
6 · The paper itself

Abstract

backgroundThe in-hospital mortality of cardiogenic shock (CS) remains high (28% to 45%). As a result, several studies developed prediction models to assess the mortality risk and provide guidance on treatment, including CardShock and IABP-SHOCK II scores, which performed modestly in external validation studies, reflecting the heterogeneity of the CS populations. Few articles established predictive scores of CS based on Asian people with a higher burden of comorbidities than Caucasians. We aimed to describe the clinical characteristics of a contemporary Asian population with CS, identify risk factors, and develop a predictive scoring model.

methodsA retrospective observational study was conducted between 2014 and 2019 to collect the patients who presented with all-cause CS in the emergency department of a single medical center in Taiwan. We divided patients into subgroups of CS related to acute myocardial infarction (AMI-CS) or heart failure (HF-CS). The outcome was all-cause 30-day mortality. We built the prediction model based on the hazard ratio of significant variables, and the cutoff point of each predictor was determined using the Youden index. We also assessed the discrimination ability of the risk score using the area under a receiver operating characteristic curve.

resultsWe enrolled 225 patients with CS. One hundred and seven patients (47.6%) were due to AMI-CS, and ninety-eight patients among them received reperfusion therapy. Forty-nine patients (21.8%) eventually died within 30 days. Fifty-three patients (23.55%) presented with platelet counts < 155 × 10

conclusionsBased on four parameters, platelet counts, LVEF, age, and lactate (PEAL), this model showed a good predictive performance for all-cause mortality at 30 days in the all patients, AMI-CS, and HF-CS subgroups. The restrictive cubic spline plot showed a significantly negative correlation between initial platelet counts and 30-day mortality risk in the AMI-CS and HF-CS subgroups.

Indexed as

acute myocardial infarctioncardiogenic shockmortality riskplatelet countsscore

Identifiers

PMID38003929
PMCPMC10672116

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