Adding biomarker change information to the kidney failure risk equation improves predictive ability for dialysis dependency in eGFR <30 ml/min/1.73 m².

ABSTRACT:

Background

Although the kidney failure risk equation (KFRE), a well-known predictive model for predicting dialysis dependency, is useful, it remains unclear whether the addition of biomarker changes to the KFRE model in patients with an estimated glomerular filtration rate (eGFR) <30 ml/min/1.73 m² will improve its predictive value.

Methods

We retrospectively identified adults with eGFR <30 ml/min/1.73 m² without dialysis dependency, and available health checkup data for two successive years using a large Japanese claims database (DeSC, Tokyo, Japan). We dichotomized the entire population into a training set (50%) and a validation set (the other half). To assess the incremental value in the predictive ability for dialysis dependency by the addition of c

SUBMITTER: Okada A 

PROVIDER: S-EPMC11574387 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature