Validation of Risk Prediction Models to Inform Clinical Decisions After Acute Kidney Injury.

ABSTRACT:

Rationale & objective

There is limited evidence to guide follow-up after acute kidney injury (AKI). Knowledge gaps include which patients to prioritize, at what time point, and for mitigation of which outcomes. In this study, we sought to compare the net benefit of risk model-based clinical decisions following AKI.

Study design

External validation of 2 risk models of AKI outcomes: the Grampian -Aberdeen (United Kingdom) AKI readmissions model and the Alberta (Canada) kidney disease risk model of chronic kidney disease (CKD) glomerular (G) filtration rate categories 4 and 5 (CKD G4 and G5). Process mining to delineate existing care pathways.

Setting & participants

Validation was based on data from adult hospital survivors of AKI from Grampian, 2011-2013.

Predictors<

SUBMITTER: Sawhney S 

PROVIDER: S-EPMC8234511 | biostudies-literature | 2021 Jul

REPOSITORIES: biostudies-literature