Development of an adaptive clinical web-based prediction tool for kidney replacement therapy in children with chronic kidney disease.

ABSTRACT: Clinicians need improved prediction models to estimate time to kidney replacement therapy (KRT) for children with chronic kidney disease (CKD). Here, we aimed to develop and validate a prediction tool based on common clinical variables for time to KRT in children using statistical learning methods and design a corresponding online calculator for clinical use. Among 890 children with CKD in the Chronic Kidney Disease in Children (CKiD) study, 172 variables related to sociodemographics, kidney/cardiovascular health, and therapy use, including longitudinal changes over one year were evaluated as candidate predictors in a random survival forest for time to KRT. An elementary model was specified with diagnosis, estimated glomerular filtration rate and proteinuria as predictors and then random s

SUBMITTER: Ng DK 

PROVIDER: S-EPMC10592093 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature