Systemic immune-inflammation index for predicting poor outcome after carotid endarterectomy: A novel hematological marker

Systemic immune-inflammation index as a novel hematological marker for predicting the recurrence of deep venous thrombosis

OBJECTIVE

To determine whether there was a possible predictive relationship between systemic immune-inflammation index (SII) and recurrence of deep venous thrombosis (DVT).

METHODS

A total of 231 patients with DVT who met the study criteria and whose data could be accessed were enrolled to this retrospective single-centered cross-sectional study. Of them 26 patients with DVT recurrence consisted of the study group (Group 1) while remaining 205 cases without recurrence were considered as the control population (Group 2). The patients' basic clinical features and laboratory results from the complete blood count (CBC) test were recorded and compared between groups. Following univariate analyses, a multivariate logistic regression analysis was performed to identify the independent predictors of the recurrence of DVT. Additionally, a receiver-operating characteristic (ROC) curve analysis was performed to detect the cut-off values of the predictors with sensitivity and specificity rates.

RESULTS

There were no significant differences between the groups for basic clinical features, except for diabetes mellitus, pulmonary embolism, and atrial fibrillation. Although the univariate analysis revealed that the median values of NLR, PLR, and SII were significantly higher in the DVT recurrence group, only SII was determined to be a significant and independent predictor of DVT recurrence in the multivariate logistic regression analysis. According to ROC curve analysis, SII of 1685 × 103/mm3 constituted the cut-off value for predicting DVT recurrence with 61.5% sensitivity and 76.6% specificity (AUC = 0.686, p = .001).

CONCLUSION

The present study demonstrated for the first time in the literature that SII significantly predicted the recurrence of DVT.