Biomarker Panels for Discriminating Risk of CKD Progression … : Journal of the American Society of Nephrology
re each independently associated with CKD progression in children. In this study, we used bootstrapped survival trees to identify a combination of biomarkers to predict CKD progression in children. Methods: The CKiD Cohort Study prospectively enrolled children 6 months to 16 years old with an eGFR of 30-90 ml/min/1.73m2. We measured biomarkers in stored plasma and urine collected 5 months after study enrollment. The primary outcome of CKD progression was a composite of 50% eGFR decline or kidney failure. We constructed a regression tree-based model for predicting the time to the composite event, using a panel of clinically relevant biomarkers with empirically derived thresholds, in addition to conventional risk factors. Results: Of the 599 children included, the median age was 12 years [IQR, 8 – 15], 371 (62%) were male, baseline urine protein to creatinine ratio was 0.33 [IQR: 0.12 – 0.95] mg/mg, and baseline eGFR was 53 [IQR, 40 – 66] ml/min/1.73m2. Overall, 205 (34%) children reache
