Systemic inflammation response index is associated MACE in patients with NSTEMI.

OBJECTIVE: Non-ST segment elevation myocardial infarction (NSTEMI) poses a significant health concern. The systemic inflammation response index (SIRI), an emerging inflammatory marker linked to conditions like stroke and cancer, has shown potential relevance. Inflammation's pivotal role in acute coronary syndromes is well-established, yet its specific association with NSTEMI and SIRI remains unexplored. This study aims to elucidate the correlation between SIRI and major adverse cardiovascular events (MACE) in patients with NSTEMI. PATIENTS AND METHODS: A cohort of 935 consecutive NSTEMI patients who underwent percutaneous intervention was recruited. MACE was defined to encompass all-cause death, malignant arrhythmia, and unplanned percutaneous coronary intervention. The systemic inflammation response index, a composite metric involving three distinct inflammatory cell counts, was computed as the product of neutrophil count and monocyte count divided by lymphocyte count. A receiver operator characteristic (ROC) curve analysis was used to define a cut-off level of SIRI to predict MACE. Then, the study population was divided into two groups according to the cut-off SIRI level in ROC curve analysis. The 12-month follow-up results of the patients were recorded retrospectively. RESULTS: The participants exhibited a mean age of 64.12. Notably, the mean SIRI level registered at 1.98 among patients experiencing MACE and 4.97 among others. Through rigorous multivariate logistic regression analysis, SIRI emerged as an independent predictor of MACE. Further analysis via ROC curve yielded a sensitivity of 68% and specificity of 76% for MACE detection, with a SIRI cut-off of 2.3. CONCLUSIONS: In the context of NSTEMI, SIRI emerges as a robust independent predictor of MACE. These findings underscore the potential utility of SIRI as a prognostic indicator for adverse cardiovascular events, enhancing our understanding of the disease's pathophysiological mechanisms and potential avenues for improved clinical management.