Prediction models for risk of diabetic kidney disease in Chinese patients with type 2 diabetes mellitus.

ABSTRACT:

Background

Diabetic kidney disease (DKD) is a common and serious complication in patients with diabetic mellitus (DM), the risk of cardiovascular events and all-cause mortality also increases in DKD patients. This study aimed to detect the influencing factors of DKD in type 2 DM (T2DM) patients, and construct DKD prediction models and nomogram for clinical decision-making.

Methods

A total of 14,628 patients with T2DM were included. These patients were divided into pre-DKD and non-DKD groups, depending on the occurrence of DKD during a 3-year follow-up from first clinic attendance. The influencing indicators of DKD were analyzed, the prediction models were established by multivariable logistic regression, and a nomogram was drawn for DKD risk assessment.

Results

Two pr

SUBMITTER: Sun L 

PROVIDER: S-EPMC9427038 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature