ENVER ÇİFTEL, HASAN ATLI, RAMAZAN DAYANAN, SELİN GENÇ, FİLİZ MERCANTEPE
Anatolian Current Medical Journal - 2025;7(4):506-512
Aims: Celiac disease (CeD) is an immune-mediated enteropathy with multisystem involvement that is often underdiagnosed due to variable clinical manifestations. Identifying reliable, accessible, and noninvasive biomarkers is essential for timely diagnosis, particularly in resource-limited settings. This study aims to evaluate the diagnostic utility of inflammation and nutrition-related indices and scores calculated from routine laboratory tests in predicting CeD. Methods: This retrospective cross-sectional study included 79 biopsy-confirmed celiac patients and 60 healthy controls. Demographic, hematological, and biochemical data were collected. The platelet-to-lymphocyte ratio (PLR), triglycerideglucose index (TyG), hemoglobin, albumin, lymphocyte, and platelet (HALP) score, and other inflammation-related indices were calculated via validated formulas. Logistic regression analysis was performed to identify independent predictors of CeD. Receiver operating characteristic (ROC) curves were used to assess diagnostic performance. Results: Compared with controls, patients with CeD had significantly greater PLRs and lower TyG indices and HALP scores (p<0.05 for all). In logistic regression analysis, both the TyG index (OR: 0.248, 95% CI [0.090, 0.685]) and the HALP score (OR: 0.013, 95% CI [0.001, 0.108]) were identified as independent risk factors for CeD. ROC analysis demonstrated that the PLR (AUC: 0.641), TyG score (AUC: 0.643), and HALP score (AUC: 0.697) could distinguish celiac patients from healthy individuals. The optimal cut-off values were 138 for PLR, 8.21 for TyG, and 0.47 for HALP, with corresponding sensitivities and specificities ranging from 53% to 68%. Conclusion: The TyG index and HALP score are independent predictors of CeD and, may serve as useful noninvasive markers for risk stratification.
