Journal of Clinical Medicine
Composite Complete-Blood-Count-Derived Inflammatory Indices for Discriminating Established Major Organ Involvement in Behçet’s Disease: A Cross-Sectional Nomogram Model
By Süleyman Gül, Muammer Özdemi̇r and Hilal Ecesoy.
Abstract
Introduction
Differentiating major organ involvement (MOI) from isolated mucocutaneous manifestations in Behçet’s disease (BD) remains a substantial clinical challenge, particularly in stable outpatients outside acute flares. This study aimed to evaluate the cross-sectional discriminatory utility of complete blood count (CBC)-derived composite inflammatory indices—specifically the Systemic Inflammatory Response Index (SIRI), Systemic Immuno-Inflammatory Index (SII), and Aggregate Index of Systemic Inflammation (AISI)—and to construct an internally validated diagnostic nomogram.
Methods
A total of 178 BD patients (88 with established MOI and 90 with isolated mucocutaneous involvement) classified according to the 2014 International Criteria for Behçet’s Disease (ICBD) were included in this cross-sectional study. Concurrently measured hematological parameters, acute-phase reactants (Erythrocyte Sedimentation Rate [ESR] and C-Reactive Protein [CRP]), and ongoing therapies were analyzed. Discriminative performance was evaluated using receiver operating characteristic (ROC) curves. Independent indicators of MOI were identified via multivariable Firth’s penalized logistic regression, and a nomogram was generated with 1000-sample bootstrap internal validation.