Exploring the potential relationship between kidney disease index and cognitive dysfunction: a machine learning approach with NHANES data.

ABSTRACT: This study investigates the relationship between the Kidney Disease Index (KDI) and cognitive function, evaluating its potential as a predictive marker for cognitive impairment in older adults. We also compare the performance of KDI with traditional kidney function markers, including estimated glomerular filtration rate (eGFR) and urine albumin-to-creatinine ratio (UACR), in predicting cognitive decline. Data from the National Health and Nutrition Examination Survey (NHANES) involving participants aged 60 years or older were analyzed. Multivariable regression models were employed to assess the relationship between KDI, eGFR, UACR, and cognitive impairment. Restricted cubic splines (RCS) were used to explore the dose-response relationship between KDI levels and cognitive impairment, and int

SUBMITTER: Wang T 

PROVIDER: S-EPMC12382064 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature