Hematological factors associated with immunity, inflammation, and metabolism in patients with systemic lupus erythematosus: Data from a Zhuang cohort in Southwest China

INTRODUCTION: Hematological parameters play important role in multiple diseases. This study was to investigate the possible association of the routine hematological parameters involved in immunity, inflammation, and metabolism with systemic lupus erythematosus (SLE) in patients of Zhuang ethnicity in Guangxi, southwest China. METHODS: The medical records of 195 Zhuang SLE patients between January 2013 and November 2018 were retrospectively reviewed. Random forest algorithm and multivariate logistic regression were used to identify the feature hematological parameters in patients with SLE. Association rules were explored between each parameter and immunity‐ (IgG, IgA, IgM, C3, and C4), inflammation‐ (ESR, hs‐CRP, and CAR), and metabolism‐ (TG, TC, HDL‐C, LDL‐C, TP, PA, ALB, and UA) related indexes. RESULTS: Random forest algorithm and logistic regression analysis showed that neutrophil‐to‐lymphocyte ratio (NLR), red blood cell distribution width (RDW), and platelet‐to‐lymphocyte ratio (PLR) were the feature parameters for distinguishing SLE patients from healthy controls. According to the ROC curves, the optimal cutoff values to predict SLE were 1.98 for NLR, 13.35 for RDW, and 145.64 for PLR. Association rule analysis showed that NLR was strongly associated with C3, hs‐CRP, TG, ALB, and UA; RDW was strongly associated with C3, C4, hs‐CRP, TG, and ALB; PLR was strongly associated with IgG, hs‐CRP, HDL‐C, and UA. CONCLUSIONS: Neutrophil‐to‐lymphocyte ratio, RDW, and PLR may serve as effective predictors of dysregulation in immunity, inflammation, and metabolism. These three indicators may be potential for cardiovascular risk assessment in Zhuang SLE patients in southwest China.