Pan-immune-inflammation value could be a new marker to differentiate between vascular Behçet’s disease and non-vascular Behçet’s disease

OCAK T., LERMİ N., Bozkurt Z. Y., YAĞIZ B., COŞKUN B. N., DALKILIÇ H. E., ...More

European Review for Medical and Pharmacological Sciences, vol.28, no.5, pp.1751-1759, 2024 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 28 Issue: 5
  • Publication Date: 2024
  • Doi Number: 10.26355/eurrev_202403_35588
  • Journal Name: European Review for Medical and Pharmacological Sciences
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, EMBASE, MEDLINE, Directory of Open Access Journals
  • Page Numbers: pp.1751-1759
  • Keywords: C-reactive protein, Mean corpuscular hemoglobin concentration, Non-vascular Behçet’s disease, Pan-Immune-Inflammation-Value, Vascular Behçet’s disease
  • Bursa Uludag University Affiliated: Yes

Abstract

OBJECTIVE: Behçet’s disease etiology is uncertain, and no specific diagnostic markers exist in the laboratory. This retrospective study aimed to evaluate the role of inflammatory and hematological parameters, mainly Pan-Immune-Inflammation-Value (PIV), in predicting vascular Behçet’s disease (VBD). PATIENTS AND METHODS: A total of 85 patients with VBD and 92 patients without vascular involvement (non-VBD) were included in this study. Neutrophil, monocyte, platelet, and lymphocyte subsets are all included in the PIV, a new blood-based biomarker. RESULTS: The optimal cut-off values for the PIV were determined to be ≥261.6. White blood cell, neutrophil, monocyte, hemoglobin, mean corpuscular hemoglobin, mean corpuscular hemoglobin concentration (MCHC), red cell distribution, platelet, plateletcrit, PIV, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, sedimentation, c-reactive protein (CRP) values were significantly associated with VBD in univariate analysis. After multivariate analysis, PIV [odds ratio (OR): 2.758; 95% confidence interval (CI): 1.327-5.736; p=0.007] and CRP (OR: 4.029; 95% CI: 1.924-8.438; p<0.001) were found to be a positive predictor for VBD, while MCHC (OR: 0.722; 95% CI: 0.530-0.983; p=0.039) was seen as a negative predictor. CONCLUSIONS: Based on our results, PIV, an easily accessible, cost-effective, and new composite biomarker, has a significant predictive value in VBD.