Disease Progression Modeling of Estimated Glomerular Filtration Rate (eGFR): A Pharmacometrics Approach.

ABSTRACT:

Background

Estimated glomerular filtration rate (eGFR) is a key clinical marker for assessing kidney complications in type 2 diabetes mellitus (T2DM). This study aimed to develop and validate a disease progression model of eGFR in Malaysian T2DM patients, with and without diabetic nephropathy (DN).

Methods

Retrospective data from 251 patients (3241 observations) were analyzed using NONMEM software. Baseline eGFR was assessed without covariates, and both linear and non-linear models were tested. Model selection was based on the likelihood ratio test (5% significance level), objective function value (OFV), visual predictive check (VPC), relative standard error, and scientific plausibility. External validation was performed using data from 109 patients.

Results

A linear

SUBMITTER: Aziz S 

PROVIDER: S-EPMC12141788 | biostudies-literature | 2025 Jun

REPOSITORIES: biostudies-literature