Abstract

To investigate the value of systemic immune-inflammation index (SII) combined with CHA2DS2-VASC score in predicting the risk of contrast-induced acute kidney injury (CI-AKI) in patients with acute coronary syndrome (ACS) after percutaneous coronary intervention (PCI) treatment. 1531 consecutive patients with ACS and undergoing PCI were recruited from January 2019 to December 2021. All patients were divided into CI-AKI and non-CI-AKI groups according to the pre-procedure and post-procedure creatinine changes, and the baseline data were compared between the two groups. Binary logistic regression analysis was used to investigate the factors influencing CI-AKI in ACS patients after PCI. Receiver operating characteristic (ROC) curves were plotted to evaluate the predictive value of SII, CHA2DS2-VASC, and their combined levels on CI-AKI after PCI. Patients with high SII and high CHA2DS2-VASC score had a higher incidence of CI-AKI. For SII, the area under the ROC curve (AUC) for predicting CI-AKI was 0.686. The optimal cut-off value was 736.08 with a sensitivity of 66.8% and a specificity of 66.3% [95% confidence interval (CI) 0.662-0.709; P < 0.001]. For CHA2DS2-VASC score, the AUC was 0.795, the optimal cut-off value was 2.50 with a sensitivity of 80.3% and a specificity of 62.7% (95% CI 0.774-0.815; P < 0.001). When combining SII and CHA2DS2-VASC score, the AUC was 0.830, the optimal cut-off value was 0.148 with a diagnostic sensitivity of 76.1% and a specificity of 75.2% (95% CI 0.810-0.849; P < 0.001). The results showed that SII combined with CHA2DS2-VASC score resulted in improved predictive accuracy of CI-AKI. Multifactorial logistic regression analysis showed that albumin level (OR = 0.967, 95% CI 0.936-1.000; P = 0.047), lnSII level (OR = 1.596, 95% CI 1.010-1.905; P < 0.001), and CHA2DS2-VASC score level (OR = 1.425, 95% CI 1.318-1.541; P < 0.001) were independent risk factors for CI-AKI in patients with ACS treated with PCI. High SII and high CHA2DS2-VASC score are risk factors for the development of CI-AKI, and the combination of the two improves the accuracy of predicting the occurrence of CI-AKI in patients with ACS undergoing PCI.

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