Ontology highlight
ABSTRACT: Background
We examined the trajectory of estimated glomerular filtrate rate (eGFR), associated risk factors, and its relationship with end-stage kidney disease (ESKD) among a multiethnic patient population with type 2 diabetes in Singapore.Methods
A follow-up study included 62 080 individuals with type 2 diabetes aged ≥18 years in a multi-institutional SingHealth Diabetes Registry between 2013 and 2019. eGFR trajectories were analyzed using latent class linear mixed models. Factors associated with eGFR trajectories were evaluated using multinomial logistic regression. The association of eGFR trajectories with ESKD was assessed via competing risk models.Results
Trajectory of kidney function, determined by eGFR, was nonlinear. The trajectory pattern was classified as
SUBMITTER: Feng L
PROVIDER: S-EPMC11418407 | biostudies-literature | 2024 Sep
REPOSITORIES: biostudies-literature