Logistic regression for 30% decline in estimated GFR over 2 years by baseline dataset and 2-year time-averaged dataset (n = 701).

“0” following the parameter denotes the baseline value; “2y” following the parameter denotes the time-averaged value over 2 years.
A univariate logistic regression was performed and the parameter showing p < 0.1 underwent a multivariate logistic regression analysis in a stepwise manner. OR: odds ratio.
Model 1: Baseline dataset (Sex, Age, DMN, Baseline eGFR, SBP_0, Hb_0, Alb_0, UA_0, Na_0, K_0, Na-Cl_0, P_0, LDL-C_0, TPU/CrU_0, UB_score_0, RASi_0).
Model 2: 2-year time-averaged dataset (Sex, Age, DMN, Baseline eGFR, SBP_2y, Hb_2y, Alb_2y, UA_2y, Na_2y, K_2y, Na-Cl_2y, P_2y, LDL-C_2y, TPU/CrU_2y, UB_score_2y, RASi_2y).
Logistic regression for 30% decline in estimated GFR over 2 years by baseline dataset and 2-year time-averaged dataset (n = 701).