AI Summary & Key Takeaways
AI InsightEarly prediction of CIN risk is critical to provide intensive preventive measures for high-risk patients.
📌 3 Key Takeaways
Abstract
Aims: Inflammation is considered a major contributor to the development of contrast-induced nephropathy (CIN). The purpose of this study was to assess the effectiveness of eosinophil-to-lymphocyte ratio (ELR) as a predictor of CIN among patients who experienced percutaneous coronary intervention (PCI) for ST-segment elevation myocardial infarction (STEMI). Methods: The study involved 440 patients diagnosed with STEMI who underwent primary PCI. The participants were categorized into two classes based on whether they had CIN or not. ELR was calculated by dividing the eosinophil count by the lymphocyte count. Results: The group with CIN (+) showed significantly higher ELR levels (0.134±0.063 vs. 0.069±0.037, p<0.001). According to the ROC curve assessment, the best threshold level of ELR to predict CIN development was identified as 0.093, with 75.9% sensitivity and 79.1% specificity (AUC: 0.836; 95% CI: 0.783–0.889; p<0.001). Logistic regression analysis revealed that estimated glomerular filtration rate (eGFR), C-reactive protein, left ventricular ejection fraction, and ELR were independent predictors of CIN. Conclusion: ELR could be an effective and reliable marker to predict CIN development in individuals with STEMI who undergo primary PCI. Early prediction of CIN risk is critical to provide intensive preventive measures for high-risk patients.