Characterization of Risk Prediction Models for Acute Kidney Injury: A Systematic Review and Meta-analysis.

ABSTRACT:

Importance

Despite the expansion of published prediction models for acute kidney injury (AKI), there is little evidence of uptake of these models beyond their local derivation nor data on their association with patient outcomes.

Objective

To systematically review published AKI prediction models across all clinical subsettings.

Data sources

MEDLINE via PubMed (January 1946 to April 2021) and Embase (January 1947 to April 2021) were searched using medical subject headings and text words related to AKI and prediction models.

Study selection

All studies that developed a prediction model for AKI, defined as a statistical model with at least 2 predictive variables to estimate future occurrence of AKI, were eligible for inclusion. There was no limitation on study popu

SUBMITTER: Feng Y 

PROVIDER: S-EPMC12011341 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature