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

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Ocak, Tuğba
Lermi, Nihal
Bozkurt, Zeynep Yılmaz
Yağız, Burcu
Coşkun, Belkıs Nihan
Dalkılıç, Ediz
Pehlivan, Yavuz

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Verduci Editore s.r.l

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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.

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Vascular Behçet’s disease, Pan-Immune-Inflammation-Value, Non-vascular Behçet’s disease, Mean corpuscular hemoglobin concentration, C-reactive protein

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