Development of Risk Prediction Equations for Incident Chronic Kidney Disease.

ABSTRACT:

Importance

Early identification of individuals at elevated risk of developing chronic kidney disease (CKD) could improve clinical care through enhanced surveillance and better management of underlying health conditions.

Objective

To develop assessment tools to identify individuals at increased risk of CKD, defined by reduced estimated glomerular filtration rate (eGFR).

Design, setting, and participants

Individual-level data analysis of 34 multinational cohorts from the CKD Prognosis Consortium including 5 222 711 individuals from 28 countries. Data were collected from April 1970 through January 2017. A 2-stage analysis was performed, with each study first analyzed individually and summarized overall using a weighted average. Because clinical variables were often diffe

SUBMITTER: Nelson RG 

PROVIDER: S-EPMC6865298 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature