TY  - JOUR
AU  - Aci, Recai
AU  - Keskin, Adem
AU  - Sezer, Özlem
AU  - Karakaya, Taner
AU  - Semiz, Samet
AU  - Bilgin, Melek
PY  - 2025
DA  - 2025/11/24
TI  - Evaluation of Full Blood Count–Derived Inflammatory Indices (SII, SIRI, PIV, NLR) in Behçet’s Disease Patients and Healthy Controls
JO  - OBM Genetics
SP  - 318
VL  - 09
IS  - 04
AB  - This study investigated three novel complete blood count–derived inflammatory biomarkers Systemic Immune-Inflammation Index (SII), Systemic Inflammation Response Index (SIRI), and Pan-Immune-Inflammation Value (PIV) and their relationship with clinical features of Behçet’s Disease (BD). Established markers, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and monocyte-to-lymphocyte ratio (MLR), were also analyzed. Seventy HLA-B51–positive BD patients and 114 HLA-B51–negative healthy controls were enrolled. Demographic, clinical, and medication data were collected. Disease activity was assessed using the Behçet’s Disease Current Activity Form (BDCAF). Hematologic indices were calculated and analyzed. Binary logistic regression and ROC analyses (with 95% confidence intervals) were performed to assess diagnostic value using BD diagnosis as the outcome. BD patients had significantly higher NLR (p = 0.003) and SII (p = 0.001) than controls. Both indices were independent predictors of BD diagnosis after adjusting for age, sex, and treatment status. ROC analysis showed moderate diagnostic value for NLR (AUC = 0.674, 95% CI: 0.596–0.753) and SII (AUC = 0.694, 95% CI: 0.615–0.773). No significant associations were found between BDCAF scores and inflammatory indices. NLR and SII are accessible, low-cost markers that may help distinguish BD from healthy individuals. SIRI and PIV require further validation. The study is limited by its cross-sectional design, small sample size, and predominance of inactive BD cases.
SN  - 2577-5790
UR  - https://doi.org/10.21926/obm.genet.2504318
DO  - 10.21926/obm.genet.2504318
ID  - Aci2025
ER  -