{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["16"],"submitter":["Deng Z"],"pubmed_abstract":["<h4>Introduction</h4>This study aimed to identify independent risk factors for DKD in T2DM patients and develop a risk prediction model with internal validation.<h4>Methods</h4>We retrospectively collected data from 1,049 T2DM patients undergoing community health checks in Longhua District (2024). Patients were divided into DKD and non-DKD groups, then randomly divided into training (n=735) and validation (n=314) sets in 7:3 ratio.<h4>Results</h4>The results of the binary logistic regression analysis showed that the duration of diabetes (OR 1.037, 95% CI: 1.005-1.07, P = 0.024), BMI (OR 0.869, 95% CI: 0.762-0.992, P = 0.037), Scr (OR 1.019, 95% CI: 1.010-1.028, P = 0.000), WBC (OR 1.141, 95% CI: 1.019-1.279, P = 0.023), and TyG-BMI (OR 1.019, 95% CI: 1.1007-1.030, P = 0.002) were independe"],"journal":["Frontiers in endocrinology"],"pagination":["1708419"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12834776"],"repository":["biostudies-literature"],"pubmed_title":["Development and validation of a model that predicts the risk of diabetic kidney disease in type 2 diabetes mellitus patients: a retrospective study."],"pmcid":["PMC12834776"],"pubmed_authors":["Yang J","Deng Z","Zhou H"],"additional_accession":[]},"is_claimable":false,"name":"Development and validation of a model that predicts the risk of diabetic kidney disease in type 2 diabetes mellitus patients: a retrospective study.","description":"<h4>Introduction</h4>This study aimed to identify independent risk factors for DKD in T2DM patients and develop a risk prediction model with internal validation.<h4>Methods</h4>We retrospectively collected data from 1,049 T2DM patients undergoing community health checks in Longhua District (2024). Patients were divided into DKD and non-DKD groups, then randomly divided into training (n=735) and validation (n=314) sets in 7:3 ratio.<h4>Results</h4>The results of the binary logistic regression analysis showed that the duration of diabetes (OR 1.037, 95% CI: 1.005-1.07, P = 0.024), BMI (OR 0.869, 95% CI: 0.762-0.992, P = 0.037), Scr (OR 1.019, 95% CI: 1.010-1.028, P = 0.000), WBC (OR 1.141, 95% CI: 1.019-1.279, P = 0.023), and TyG-BMI (OR 1.019, 95% CI: 1.1007-1.030, P = 0.002) were independe","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025","modification":"2026-06-13T05:26:07.243Z","creation":"2026-06-13T03:08:58.162Z"},"accession":"S-EPMC12834776","cross_references":{"pubmed":["41607464"],"doi":["10.3389/fendo.2025.1708419"]}}