Systematic review of prognostic prediction models for acute kidney injury (AKI) in general hospital populations.

ABSTRACT:

Objective

Critically appraise prediction models for hospital-acquired acute kidney injury (HA-AKI) in general populations.

Design

Systematic review.

Data sources

Medline, Embase and Web of Science until November 2016.

Eligibility

Studies describing development of a multivariable model for predicting HA-AKI in non-specialised adult hospital populations. Published guidance followed for data extraction reporting and appraisal.

Results

14 046 references were screened. Of 53 HA-AKI prediction models, 11 met inclusion criteria (general medicine and/or surgery populations, 474 478 patient episodes) and five externally validated. The most common predictors were age (n=9 models), diabetes (5), admission serum creatinine (SCr) (5), chronic kidney disease (CKD) (4)

SUBMITTER: Hodgson LE 

PROVIDER: S-EPMC5623486 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature