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ABSTRACT: Objective
We performed this cross-sectional study to explore potential biomarkers for predicting diabetic kidney disease (DKD) in newly diagnosed type 2 diabetes mellitus (T2DM).Methods
A total of 623 patients were recruited from Xuzhou First People's Hospital and Nanjing First Hospital based on the electronic case records system. Patients were grouped according to their albuminuria-to-creatinine ratio (ACR) into two categories: ACR < 30 mg/g and ACR ≥ 30 mg/g. Biomarker levels between the two ACR groups were compared using an independent sample t-test. Correlation analysis was determined using Pearson's or Spearman's analysis and binary logistic regression. Receiver operating characteristic (ROC) curve analysis was used to elucidate the predictive effect of biomarke
SUBMITTER: Sun J
PROVIDER: S-EPMC12546220 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature