The Role of Systemic Immune-Inflammation Index in Severe Bicuspid Aortic Stenosis
Methods: In this retrospective observational study, 76 patients with severe BAV-AS and 76 age- and sex-matched controls without AS were included. Routine laboratory data and transthoracic echocardiographic parameters were recorded. SII was calculated as platelet count × neutrophil count / lymphocyte count. The severity of AS was determined by aortic valve area (AVA) and mean transvalvular gradient. Correlation analyses, Receiver Operating Characteristic (ROC) curve, and logistic regression were used to assess the relationship between SII and AS severity.
Results: The BAV-AS group had significantly higher SII values compared to controls (median: 931.7 vs. 534; P<0.001). SII showed a moderate inverse correlation with AVA (r = –0.547) and a positive correlation with mean gradient (r=0.535). The optimal SII cut-off for predicting severe BAV-AS was 691 (AUC=0.790), with sensitivity of 71.1% and specificity of 77.6%. Multivariate analysis identified SII as an independent predictor of severe BAV-AS (OR: 3.841, 95% CI: 1.395-10.576; P=0.009).
Conclusions: SII is significantly elevated in patients with severe BAV-AS and may serve as a useful inflammatory biomarker for disease burden. Further studies are needed to confirm its utility in clinical decision-making.
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Article Information
- Article Type Research Article
- Submitted February 21, 2026
- Published January 4, 2026
- Issue Volume 12 - Issue 1 (January 2026)
- Section Research Article
