Crane CR, Garimella PS, Heinze G. Predicting pediatric kidney disease progression-are 3 variables all you need?
Kidney Int 2023;
104:885-887. [PMID:
37863637 DOI:
10.1016/j.kint.2023.08.019]
[Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 08/07/2023] [Accepted: 08/11/2023] [Indexed: 10/22/2023]
Abstract
Accurate estimation of chronic kidney disease (CKD) progression risk is vital for clinical decision-making. Existing risk equations lack validation in pediatric CKD populations. Ng et al. developed new risk equations using the CKD in Children and European Study Consortium for Chronic Kidney Disorders Affecting Pediatric Patients cohorts. The elementary model, incorporating estimated glomerular filtration rate, urine protein-creatinine ratio, and diagnosis, exhibited excellent discrimination and calibration at external validation. External validation of enriched models is pending. The equations have the potential to aid pediatric CKD centers in patient counseling and care planning.
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