Global Validation of a Model to Predict Reduced Estimated GFR in People With Type 2 Diabetes Without Diagnosis of CKD.

ABSTRACT: A minimal-resource model for predicting reduced kidney function among people with type 2 diabetes and no diagnosis of chronic kidney disease (CKD) stages 3 to 5 was previously developed in a UK population to pre-screen for undiagnosed CKD. This study aims to evaluate the performance of the model on a global population and assess its adequacy with and without regional adjustment. A retrospective observational study was performed using data collected from the iCaReMe global registry (NCT03549754) and the DISCOVER study (NCT02322762 and NCT02226822). Patients were grouped by their World Health Organization classified region. An estimated glomerular filtration rate (eGFR) <60 ml/min per 1.73 m2 was the marker of reduced kidney function. A regional-intercept recalibration was applied to adjust

SUBMITTER: Sammut-Powell C 

PROVIDER: S-EPMC11284396 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature