Prediction of End-Stage Kidney Disease Using Estimated Glomerular Filtration Rate With and Without Race : A Prospective Cohort Study.

ABSTRACT:

Background

New estimated glomerular filtration rate (eGFR) equations removed race adjustment, but the impact of its removal on prediction of end-stage kidney disease (ESKD) is unknown.

Objective

To compare the ESKD prediction performance of different eGFR equations.

Design

Observational, prospective cohort study.

Setting

7 U.S. clinical centers.

Participants

3873 participants with chronic kidney disease (CKD) from the CRIC (Chronic Renal Insufficiency Cohort) Study contributing 13 902 two-year risk periods.

Measurements

ESKD was defined as initiation of dialysis or transplantation. eGFR was calculated using 5 Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equations based on serum creatinine and/or cystatin C, with or without race adju

SUBMITTER: Bundy JD 

PROVIDER: S-EPMC9083829 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature