Can we predict when to start renal replacement therapy in patients with chronic kidney disease using 6 months of clinical data?

ABSTRACT:

Purpose

We aimed to develop a model of chronic kidney disease (CKD) progression for predicting the probability and time to progression from various CKD stages to renal replacement therapy (RRT), using 6 months of clinical data variables routinely measured at healthcare centers.

Methods

Data were derived from the electronic medical records of Ajou University Hospital, Suwon, South Korea from October 1997 to September 2012. We included patients who were diagnosed with CKD (estimated glomerular filtration rate [eGFR] < 60 mL·min-1·1.73 m-2 for ≥ 3 months) and followed up for at least 6 months. The study population was randomly divided into training and test sets.

Results

We identified 4,509 patients who met reasonable diagnostic criteria. Patients were randomly divided i

SUBMITTER: Lee MJ 

PROVIDER: S-EPMC6171856 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature