Logistic regression for FIB4, FIB4Q.

This study utilized data from the National Health and Nutrition Examination Survey (NHANES) 2005–2020 (n = 28,231, including 4,907 chronic kidney disease (CKD) patients) with weighted analyses and, through variance inflation factor (VIF) assessment to verify covariate selection, supported model validity, to demonstrate for the first time that the Fibrosis-4 (FIB4) index serves as an independent predictor of all-cause and cardiovascular disease (CVD)-related mortality in CKD patients. Weighted logistic regression confirmed FIB4 index as a significant independent predictor of CKD risk (fully adjusted odds ratios (OR) 1.85, 95% confidence interval (CI) 1.64–2.08), with strong dose-response gradient (Q4 OR 3.51–6.02). Multivariable Cox proportional hazards regression models revealed that each 1-unit increase in the FIB4 index was associated with a 34% elevated risk of all-cause mortality (hazard ratio (HR) = 1.34, 95%CI: 1.27–1.41, p