Abstract:Aim To explore the evaluation value of systemic immune-inflammatory index (SII) combined with left ventricular ejection fraction (LVEF) for the severity of coronary artery lesions in patients with acute myocardial infarction (AMI). Methods 1 963 patients with coronary heart disease were retrospectively enrolled, including 873 patients with AMI and 1 090 patients without AMI. The AMI group was divided into mild, moderate, and severe lesion groups according to tertiles of Gensini score. Spearman correlation analysis, restricted cubic spline (RCS), ordered Logistic regression (including partial proportional odds models), ROC curve and DeLong test were used to analyze the efficacy of SII and LVEF in assessing the severity of coronary artery lesion; a nomogram was constructed and its performance was evaluated through Bootstrap internal validation and decision curve analysis (DCA). Results The SII level in the AMI group was higher than that in the control group, and the LVEF level was lower than that in the control group. SII increased with increasing Gensini grading, while LVEF decreased with increasing Gensini grading, and the differences were statistically significant (both P<0.001). Since the proportional odds assumption was violated, a partial proportional odds model was adopted for multiple factors. The results showed that for every 100 units increase in SII, there was a positive correlation with the lesion severity, and the effect varied with the cut-off point (moderate-to-severe vs mild lesions:OR=1.9,5%CI:1.097~1.181, P<0.001; severe lesions vs mild-to-moderate lesions:OR=1.5,5%CI:1.024~1.065, P<0.001), LVEF was negatively correlated with lesion severity (OR=0.7,5%CI:0.919~0.956, P<0.001). The RCS analysis results showed a non-linear association between SII and severe coronary artery lesions (P for nonlinearity<0.001). When evaluating severe coronary artery lesions, the AUC of SII, LVEF and their combined models were 0.4,0.664 and 0.696, respectively; the combined model did not yield a significant improvement compared to using SII alone (P=0.225), indicating limited discriminative ability; after 500 bootstrap internal validation corrections, the AUC of nomogram with four variables included was 0.707. In the independent exploratory analysis of distinguishing AMI from non-AMI coronary heart disease, the apparent AUC of the combined model was 0.910. Conclusions In AMI patients, SII was positively associated with the severity of coronary artery lesions and nonlinearly associated with severe lesions, while LVEF was negatively associated with the severity of coronary artery lesions. The combined application of the two indices did not significantly improve the ability to distinguish the severity of coronary artery lesions.