Prediction of Chronic Kidney Disease Stage 3 by CKD273, a Urinary Proteomic Biomarker

Introduction: CKD273 is a urinary biomarker, which in advanced chronic kidney disease predicts further deterioration. We investigated whether CKD273 can also predict a decline of estimated glomerular filtration rate (eGFR) toMethods: In analyses of 2087 individuals from 6 cohorts (46.4% women; 73.5% with diabetes; mean age, 46.1 years; eGFR >= 60 ml/min per 1.73 m2, 100%; urinary albumin excretion rate [UAE] >= 20 mu g/min, 6.2%), we accounted for cohort, sex, age, mean arterial pressure, diabetes, and eGFR at baseline and expressed associations per 1-SD increment in urinary biomarkers.Results: Over 5 (median) follow-up visits, eGFR decreased more with higher baseline CKD273 than UAE (1.64 vs. 0.82 ml/min per 1.73 m(2); P <0.0001). Over 4.6 years (median), 390 participants experienced a first renal endpoint (eGFR decrease by >= 10 to = 1.23; P = 1.20; P = 20 mu g/min) and CKD273 (>= 0.154) thresholds yielded sensitivities of 30% and 33% and specificities of 82% and 83% (PDiscussion: In conclusion, while accounting for baseline eGFR, albuminuria, and covariables, CKD273 adds to the prediction of stage 3 chronic kidney disease, at which point intervention remains an achievable therapeutic target.