Elevated eosinophil-to-lymphocyte ratio (ELR) as a predictor of relapse for IgG4-related disease: a retrospective study across a decade
Nianyi Zhang, Yu Peng, Rongli Li, Yuxue Nie, Jingna Li, Xinli Yang, Jialei Zhang, Yifei Wang, Qinhuan Luo, Jiaxin Zhou, Yunyun Fei, Mengtao Li, Linyi Peng, Wen Zhang
Abstract
To investigate the clinical significance of leukocyte-to-lymphocyte ratios, particularly the eosinophil-to-lymphocyte ratio (ELR) and basophil-to-lymphocyte ratio (BLR), in IgG4-related disease (IgG4-RD). We enrolled 541 treatment-naïve IgG4-RD patients and compared their ELR, BLR, neutrophil-to-lymphocyte ratio (NLR), and monocyte-to-lymphocyte ratio (MLR) with systemic lupus erythematosus (SLE), rheumatoid arthritis (RA), and primary Sjögren's syndrome (pSS) patients. K-means cluster analysis was performed to categorize enrolled IgG4-RD patients based on inflammatory markers (ELR, BLR, NLR, Complement 3, Complement 4, erythrocyte sedimentation rate), and clinical data of different clusters were analyzed using statistical methods including Kaplan-Meier curves and Cox regression. ELR and BLR levels were significantly elevated in IgG4-RD patients (ELR: 0.11 [0.05-0.22]; BLR: 0.02 [0.01-0.03]) compared to SLE, RA, and pSS patients (all P < 0.001). ELR was strongly associated with higher disease activity, increased serum IgG4, the number of affected organs, and proliferative phenotype proportions in IgG4-RD patients. We identified a high-risk subgroup of IgG4-RD patients with high ELR/BLR and low complement 3/4 (C3/C4) through clustering analysis. This subgroup exhibited higher disease activity and relapse risk. And IgG4-RD patients with high ELR (≥ 0.1103) had higher relapse rates during follow-up (HR = 2.12, 95% CI 1.37-3.26, P = 0.0005). ELR was identified as a risk factor for relapse in IgG4-RD patients. Our study indicated that the significantly elevated ELR reflects Th2 immune dysregulation and disease severity in IgG4-RD and serves as an independent predictor of relapse, offering a potential biomarker for personalized management.