Research Information System
NATIONAL MEDICAL JOURNAL OF INDIA, vol.37, no.2, pp.74-78, 2024 (SCI-Expanded)
Background. The systemic immune-inflammation index (SII) is a novel marker for predicting the prognosis in patients with various diseases and cancers. We aimed to investigate the relationship between SII and disease activity in patients with Methods. Our retrospective study included 513 patients with BD aged >18 years. The patients were classified into an active group (n=355) and an inactive group (n=158). Pearson correlation analysis was performed to elucidate correlations between the SII and other markers. Binary logistic regression analysis was used to determine BD-related were computed to assess cut-offs for the predictive value of the SII and other markers. Results. Patients with active BD had a significantly higher SII (p<0.001) than those in the inactive group. ROC analysis revealed that the optimal SII cut-off value to identify BD activity was 526.23, with 70.4% sensitivity and 70.3% a significant positive correlation between SII, and the Clymphocyte ratio (r=0.711, p<0.001), and neutrophil- binary logistic regression analysis, the SII (odds ratio [OR] p=0.002) was an independent risk factor for active BD. Conclusion. The SII can be considered a novel predictor of BD activity.