Evidence map›Paper›PMID 42466342›Full record

ArticleFrontiers in endocrinology2026

Development and external validation of an admission-based model for 180-day mortality in diabetic acute myocardial infarction.

Yanlong Zhao, Haodong Jiang, Yuanyuan Zhao, Shuai Wang, Qicheng Yu, Jing Zeng, Shan Xie, Jiatong Li, Zhi Liu

Abstract readValidation Study
In one paragraph

Article in Frontiers in endocrinology, 2026. 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

9 authors.

Yanlong ZhaoDepartment of Emergency, Xuanwu Hospital, Capital Medical University, Beijing, China.
Haodong JiangDepartment of Emergency, Xuanwu Hospital, Capital Medical University, Beijing, China.
Yuanyuan ZhaoDepartment of Emergency, Xuanwu Hospital, Capital Medical University, Beijing, China.
Shuai WangDepartment of Emergency, Xuanwu Hospital, Capital Medical University, Beijing, China.
Qicheng YuDepartment of Emergency, Xuanwu Hospital, Capital Medical University, Beijing, China.
Jing ZengDepartment of Medical Care, Beijing Luhe Hospital, Capital Medical University, Beijing, China.
Shan XieDepartment of Emergency, Xuanwu Hospital, Capital Medical University, Beijing, China.
Jiatong LiDepartment of Emergency, Xuanwu Hospital, Capital Medical University, Beijing, China.
Zhi LiuDepartment of Emergency, Xuanwu Hospital, Capital Medical University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients with diabetes mellitus and acute myocardial infarction (DM-AMI) are at high risk, but risk heterogeneity within this subgroup remains insufficiently characterized. Whether a parsimonious admission-based model provides prognostic information beyond GRACE remains uncertain. We aimed to assess admission risk heterogeneity in DM-AMI and develop and externally validate a model for 180-day mortality using routine variables. Methods: This retrospective dual-cohort study included AMI patients from a Beijing tertiary hospital (development cohort) and an ICU-based MIMIC-IV cohort (external validation). A Cox model was built using admission variables. Model performance was evaluated using discrimination, calibration, and decision curve analysis with internal bootstrap validation and comparison with GRACE. Results: Among 4,167 patients, 1,514 had DM-AMI with 90 deaths at 180 days. The model included eight variables (age, heart rate, SBP, glucose, BUN, hemoglobin, RDW, WBC). It showed good discrimination in the development cohort (C-index 0.848; AUC 0.857) and maintained performance externally (AUC 0.744). GRACE comparison showed similar discrimination, while the combined model improved performance (ΔAUC = 0.014, P = 0.031). Calibration in MIMIC-IV indicated risk overestimation (slope 0.527; O/E 0.652). Conclusion: DM-AMI patients exhibit marked admission risk heterogeneity. The model provides complementary prognostic information beyond GRACE but requires recalibration for absolute risk use in external settings.

Indexed as

Diabetes MellitusMyocardial InfarctionPatient AdmissionAgedFemaleHumansMaleMiddle AgedPrognosisRetrospective StudiesRisk AssessmentRisk Factorsacute myocardial infarctiondiabetes mellitusexternal validationmortality predictionprognostic modelrisk stratification

Identifiers

PMID42466342
PMCPMC13372586

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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.