Ontology highlight
ABSTRACT: Background
Certain pharmacotherapies have shown to be effective for both cardiac and kidney outcomes. Although risk prediction is important in treatment decision-making, few studies have evaluated prediction models for composite cardiovascular and kidney outcomes.Methods
This study included 2,195,341 Korean adults from a nationwide cohort for chronic kidney disease and a representative sample of the general population, with a 9-year follow-up. This study evaluated prediction models for a composite of major cardiovascular events or kidney disease progression that included albuminuria and estimated glomerular filtration rate (eGFR) and/or traditional cardiovascular disease predictors.Results
The addition of albuminuria and eGFR to a model for the composite outcome tha
SUBMITTER: Jung HH
PROVIDER: S-EPMC9576456 | biostudies-literature | 2022 Sep
REPOSITORIES: biostudies-literature