Usefulness of the Systemic Inflammation Response Index and the Systemic Immune Inflammation Index in Predicting Restenosis After Stent Implantation
Panpan Xu, Yu Cao, Ruiqing Ren, Shuai Zhang, Cheng Zhang, Panpan Hao, Meng Zhang
Abstract
Purpose: The systemic inflammation response index (SIRI) and the systemic immune inflammation index (SII) are indicators that reflect the body's overall systemic inflammatory response. Inflammation plays an important role in the pathogenesis of in-stent restenosis (ISR). The aim of this study was to investigate the predictive value of preoperative SIRI and SII for the occurrence of ISR in patients undergoing coronary stent implantation. Materials and Methods: We retrospectively analyzed the clinical, hematological, and angiographic data of 387 patients who underwent coronary angiography for recurrent angina after coronary stent implantation at Qilu Hospital of Shandong University. Receiver operating characteristic curve (ROC) analysis was used to determine the optimal cutoff values for SIRI and SII to predict ISR. Based on the optimal cutoff values for SIRI and SII, patients were categorized into high-SIRI, low-SIRI, high-SII, and low-SII groups. Multivariate logistic regression models were constructed to assess the predictive value of SIRI and SII for ISR >50% and ISR >70%. Results: < 0.001). In multivariate logistic regression analysis, SIRI and SII were found to be independent predictive factors for ISR, both as continuous and categorical variables. In the ROC analysis, the optimal cutoff value for SIRI was set at 0.54 (sensitivity: 84.5%, specificity: 27%), and the optimal cutoff value for SII was set at 545.29 (sensitivity: 44.1%, specificity: 71.7%). Conclusion: Elevated preoperative SIRI and SII values help predict ISR and may serve as a useful screening tool to perform interventional procedures based on the patient's risk of ISR after stent implantation.