Complete Blood Count–Derived Inflammation Indices to Predict 3-Year All-Cause Mortality in Patients With Diabetes and Acute Myocardial Infarction in Critical Care: Retrospective Cohort Study With Single-Center External Validation

The stacked predictive model serves as a robust tool for predicting 3-year outcomes in patients with diabetes combined with AMI. Its reliance on routine, low-cost indices highlights its economic viability and potential for widespread clinical implementation, particularly for optimizing resource allocation in resource-limited settings. However, considering the single-center nature of the derivation data, future multicenter validation is essential to verify the model's generalizability across different health care systems before establishing it as a standard policy for risk stratification.

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Publication Details

Journal
JMIR Medical Informatics
Published
2026-03-12
DOI
https://doi.org/10.2196/83328
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
0.00
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article

Complete Blood Count–Derived Inflammation Indices to Predict 3-Year All-Cause Mortality in Patients With Diabetes and Acute Myocardial Infarction in Critical Care: Retrospective Cohort Study With Single-Center External Validation

Song-Mei Liu, Kun L. Yang, Ying Yang, Tong Zhou
JMIR Medical Informatics
Inflammatory Biomarkers in Disease Prognosis
article

Complete Blood Count–Derived Inflammation Indices to Predict 3-Year All-Cause Mortality in Patients With Diabetes and Acute Myocardial Infarction in Critical Care: Retrospective Cohort Study With Single-Center External Validation

Song-Mei Liu, Kun L. Yang, Ying Yang, Tong Zhou
article en

Abstract

The stacked predictive model serves as a robust tool for predicting 3-year outcomes in patients with diabetes combined with AMI. Its reliance on routine, low-cost indices highlights its economic viability and potential for widespread clinical implementation, particularly for optimizing resource allocation in resource-limited settings. However, considering the single-center nature of the derivation data, future multicenter validation is essential to verify the model's generalizability across different health care systems before establishing it as a standard policy for risk stratification.

JMIR Medical InformaticsVol. 14
Wuhan University (CN), Zhongnan Hospital of Wuhan University (CN)
Good health and well-being
Openalex Percentile: Top 25%
Inflammatory Biomarkers in Disease Prognosis
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