Risk prediction of diabetic retinopathy based on visit-to-visit fasting blood glucose indices.

ABSTRACT:

Objective

The long-term glucose monitoring is essential to the risk assessment of diabetic retinopathy (DR), the aim of this study was to investigate the predictive ability of visit-to-visit fasting blood glucose (FBG) indices on the risk of DR.

Methods

This was a community-based, cohort study conducted from 2013 to 2021. DR was diagnosed by digital fundus photography. The FPG indices included FBG, var. Associations of each FBG indices and DR were estimated using multinomial logistic regression models adjusting for confounders, and discrimination was determined by area under the curve (AUC). Predictive utility of different models was compared by changes in AUC, integrated discrimination improvement (IDI), and net reclassification index (NRI).

Results

This study analyz

SUBMITTER: Ju Y 

PROVIDER: S-EPMC11449774 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature