Nomogram to predict rapid kidney function decline in population at risk of cardiovascular disease.

ABSTRACT:

Background

To develop a reliable model to predict rapid kidney function decline (RKFD) among population at risk of cardiovascular disease.

Methods

In this retrospective study, key monitoring residents including the elderly, and patients with hypertension or diabetes of China National Basic Public Health Service who underwent community annual physical examinations from January 2015 to December 2020 were included. Healthy records were extracted from regional chronic disease management platform. RKFD was defined as the reduction of estimated glomerular filtration rate (eGFR) ≥ 40% during follow-up period. The entire cohort were randomly assigned to a development cohort and a validation cohort in a 2:1 ratio. Cox regression analysis was used to identify the independent predictor

SUBMITTER: Zhang Q 

PROVIDER: S-EPMC8830119 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature