Development and external validation of a TIMI score-based model for myocardial ischemia reperfusion injury in elderly STEMI patients undergoing primary PCI: a multicenter retrospective cohort study
Year: 2026
Type: article
Study design: Observational Study
Abstract: Pre-PCI prediction of myocardial ischemia reperfusion injury (MIRI) in elderly patients with ST-segment elevation myocardial infarction (STEMI) who are undergoing primary PCI remains challenging. This study aimed to develop and validate a thrombolysis in myocardial infarction (TIMI) score-based model for MIRI prediction. This multicenter retrospective study included patients aged ≥ 60 years with STEMI who underwent primary PCI. The cohorts included a derivation cohort (August 2022–February 2025) and an external validation cohort (February 2024–February 2026). In the derivation cohort ( n = 117), the incidence of MIRI was 75.2%. Using LASSO and logistic regression, a final model incorporating the shock index, TIMI score, and culprit vessel was developed. The model demonstrated acceptable discriminatory ability for MIRI ( AUC 0.815, 95% CI 0.735–0.895), calibration (Hosmer–Lemeshow, P = 0.801), and net benefit on decision curve analysis. The MACE analysis was an exploratory post-hoc analysis; model risk stratification was significantly associated with MACE events (log-rank P < 0.001), suggesting potential prognostic stratification value that warrants further validation in independent external cohorts. The new model showed comparable discriminatory ability to the TIMI score for MIRI ( AUC 0.815 vs. 0.718, P = 0.049) and demonstrated improved discrimination for all-cause death ( AUC 0.87 vs. 0.769, P = 0.017). In the external validation cohort ( n = 300), the model maintained good discrimination ( AUC 0.811), calibration ( P = 0.406), and accuracy (Brier score = 0.144). The TRIPOD checklist is provided in the supplementary material. This TIMI score-based model may help predict MIRI risk in elderly patients with STEMI after primary PCI in rural northern Xuzhou. An online calculator helps clinicians plan and initiate the most appropriate disease management for patients in a timely manner.
Source: BMC Cardiovascular Disorders
Language: English
Subfield: Cardiology and Cardiovascular Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $3,090
OpenAlex ID: W7221668027
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