The hidden diabetic kidney disease in a university hospital-based population: a real-world data analysis.

ABSTRACT:

Background

Correct identification of diabetic kidney disease (DKD) in type 2 diabetes mellitus (T2DM) patients is crucial to implement therapeutic interventions that may prevent disease progression.

Methods

We compared the real prevalence of DKD in T2DM patients according to actual serum and urine laboratory data with the presence of the diagnostic terms DKD and/or CKD on the electronic medical records (EMRs) using a natural language processing tool (SAVANA Manager). All patients ˃18 years of age and diagnosed with T2DM were selected. DKD was defined as an estimated glomerular filtration rate (eGFR) <60 mL/min/1.73 m² or a urinary albumin:creatinine ratio (UACR) >30 mg/g or a urinary protein:creatinine ratio (UPCR) >0.3 g/g after excluding acute kidney injury.

SUBMITTER: Marques M 

PROVIDER: S-EPMC9494513 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature