External validation of six clinical models for prediction of chronic kidney disease in a German population.

ABSTRACT:

Background

Chronic kidney disease (CKD) is responsible for large personal health and societal burdens. Screening populations at higher risk for CKD is effective to initiate earlier treatment and decelerate disease progress. We externally validated clinical prediction models for unknown CKD that might be used in population screening.

Methods

We validated six risk models for prediction of CKD using only non-invasive parameters. Validation data came from 4,185 participants of the German Heinz-Nixdorf-Recall study (HNR), drawn in 2000 from a general population aged 45-75 years. We estimated discrimination and calibration using the full model information, and calculated the diagnostic properties applying the published scoring algorithms of the models using various thresholds for

SUBMITTER: Stolpe S 

PROVIDER: S-EPMC9341089 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature