Study on Predictive Models for Differential Diagnosis of Diabetic Kidney Disease and Non-Diabetic Kidney Disease Based on Clinical and Biochemical Indicators.

ABSTRACT: Background: The differential diagnosis of diabetic kidney disease (DKD) from non-diabetic kidney disease (NDKD) presents significant challenges in clinical practice, as current diagnostic methods, such as renal biopsy, are invasive and lack specificity. This study aims to develop a non-invasive predictive model based on clinical and biochemical indicators to enhance diagnostic accuracy in distinguishing DKD from NDKD. The model is designed to serve as a decision-support tool for clinicians, improving renal health management in patients with type 2 diabetes mellitus (T2DM). Methods: A retrospective examination of data was executed. Clinical characteristics and laboratory data of T2DM patients who underwent renal biopsy at The First Affiliated Hospital of Sun Yat-sen Uni

SUBMITTER: Feng P 

PROVIDER: S-EPMC12492356 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature