Novel predictive factor for erectile dysfunction: systemic immune inflammation index.

Systemic immune inflammation index (SII) is a global parameter that comprehensively reflects body inflammation, this study aims to assess the correlation between this index and erectile dysfunction (ED). This cross-sectional study incorporated 164 ED patients and 95 healthy adult males. The collection of general demographic information and pertinent hematological data from the participants enabled the computation of corresponding SII values. Statistical analysis, encompassing descriptive statistics as well as normality and logistic regression analyses, was carried out employing SPSS version 26. The findings of the univariate analysis revealed a noteworthy distinction in triglyceride levels (TG) (P = 0.017) and SII (P < 0.001) between ED patients and the healthy population. Subsequent multivariate logistic regression analysis unveiled a significant association between SII (odd ratio (OR):1.012, 95% confidence interval (CI):1.008-1.015; P < 0.001) and the occurrence of ED. Since the impact value is not clearly visible, SII/100 is utilized to magnify the effect value one hundredfold. The regression analysis results indicate that the OR value of SII/100 is 3.171, and the 95% CI is 2.339-4.298 (P < 0.001). The Receiver Operating Characteristic (ROC) curve analysis ascertained an AUC of 0.863 (P < 0.001) for SII, with a determined cut-off value of 391.53(10⁹/L), exhibiting a sensitivity of 81.7% and specificity of 83.2%. Moreover, when comparing patients with varying degrees of ED severity, both univariate (P < 0.001) and subsequent multivariate logistic regression analyses (OR: 1.007, 95% CI: 1.004-1.010; P < 0.001) underscored the significance of the SII value. At this point, SII/100 OR: 1.971, 95% CI: 1.508-2.576 (P < 0.001). The ROC curve analysis in this context demonstrated an AUC of 0.799 (P < 0.001), with a determined cut-off value of 746.63(10⁹/L), featuring a sensitivity of 60.6% and specificity of 91.6%. These discerned outcomes affirm a correlation between SII and ED, establishing its potential not only in predicting the onset of ED but also in differentiating among various levels of ED severity.