The addition of P wave dispersion and maximum P wave duration to a basic model (including age, sex, DM, hypertension, coronary artery disease, cerebrovascular disease, LVH, systolic and diastolic blood pressure, BMI, albumin, fasting glucose, log triglycerides, total cholesterol, hemoglobin, baseline eGFR, calcium-phosphorus product, uric acid, and proteinuria) significantly improved the prediction value for renal end points (difference in the –2 log likelihood value: 13.531, P<0.001 and 6.335, P = 0.012, respectively). The gene discussed is ALB; the disease is diabetes mellitus.