Аңдатпа
Abstract Introduction: Contrast-induced acute kidney injury (CI-AKI) is a significant complication following percutaneous coronary intervention (PCI) in patients with ST-elevation myocardial infarction (STEMI). This study aims to develop a predictive model for CI-AKI using clinical and laboratory data. Methods: A retrospective cohort study analyzed 63 STEMI patients undergoing PCI between November 2024 and March 2025. Data included demographics, clinical parameters, and pre- and post-intervention laboratory markers. CI-AKI was defined as a ≥25% increase in serum creatinine within 48 hours post-PCI. Logistic regression and R software (version 4.3.1) were used for statistical analysis and modeling, with performance assessed via AUC-ROC. Results: CI-AKI occurred in 19% of patients (12/63). Key predictors were age (OR 1.06, p=0.03), baseline creatinine (OR 1.82, p=0.01), and contrast dose (OR 1.01, p=0.04). The model achieved an AUC-ROC of 0.82 (95% CI: 0.70-0.93). CI-AKI patients had higher baseline creatinine (103.5 vs. 85.2 µmol/L, p=0.02) and older age (68.4 vs. 61.2 years, p=0.04). Conclusion: The model effectively predicts CI-AKI risk in STEMI patients post-PCI, highlighting age, creatinine, and contrast dose as critical factors. Prospective validation is needed. Keywords: Contrast-induced kidney injury, STEMI, percutaneous coronary intervention, predictive modeling, creatinine