Trained and validated on a large US laboratory information system cohort, composed of 110,264 patients using machine learning methods, the 7-variable risk classifier uses routine laboratory parameters (age, sex, eGFR, eGFR slope, UACR, serum albumin, serum albumin slope) to accurately predict CKD progression within 5 years. Here, ALB is linked to chronic kidney disease.