ZHENG Feng, XU Liangjie, WANG Jianfei, XU Li, CHEN Xing
Objective To investigate the predictive value of systemic immune-inflammation index (SII) for the occurrence of ventricular arrhythmia (VA) after percutaneous coronary intervention (PCI) in patients with acute myocardial infarction (AMI). Methods A total of 100 AMI patients undergoing emergency PCI were consecutively enrolled, and divided into a VA group (n=52) and a non-VA group (n=48) based on the occurrence of VA within 7 days after PCI. Clinical baseline data and laboratory test results were collected. Complete blood count parameters included white blood cell, neutrophil, lymphocyte, and platelet counts, which were used to calculate SII, neutrophil to lymphocyte ratio (NLR), and platelet to lymphocyte ratio (PLR). Cardiac ultrasound was performed to assess left ventricular end-diastolic diameter (LVEDD), left ventricular end-diastolic volume (LVEDV), and LVEF. Logistic regression analysis was used to identify factors influencing VA occurrence within 7 days after PCI. The predictive performance was evaluated using ROC curve analysis, and the dose-response relationship was assessed with restricted cubic spline (RCS) plots. Results The VA group had significantly higher levels of SII, PLR, NLR, LVEDD and LVEDV, and significantly lower LVEF compared to the non-VA group (all P<0.05). Multivariate Logistic regression analysis indicated that SII was an independent risk factor for VA within 7 days after PCI in AMI patients (OR=1.01, P<0.01). RCS plot analysis revealed a non-linear positive correlation between SII and the risk of VA (P=0.002). ROC curve analysis showed that the optimal cut-off value of SII for predicting VA was 973×109/L, with a sensitivity of 81% and a specificity of 71%. Conclusion SII>973×109/L could serve as a potential predictor for VA after PCI in AMI patients, providing valuable insight for early identification of high-risk patients and guiding clinical intervention.