ALB and diabetes mellitus: We used a LASSO Cox regression model to build the final prediction model, which selected seven variables from candidate variables in the training set: age, CVD, diabetes, albumin, hemoglobin, Hs-CRP, and 24-hours urine output (Table 2 and Supplemental Fig. 1).