Which risk predictors are more likely to indicate severe AKI in hospitalized patients?

ABSTRACT:

Objectives

Acute kidney injury (AKI) is a sudden episode of kidney failure or damage and the risk of AKI is determined by the complex interactions of patient factors. In this study, we aimed to find out which risk factors in hospitalized patients are more likely to indicate severe AKI.

Methods

We constructed a retrospective cohort of adult patients from all inpatient units of a tertiary care academic hospital between November 2007 and December 2016. AKI predictors included demographic information, admission and discharge dates, medications, laboratory values, past medical diagnoses and admission diagnosis. We developed a machine learning-based knowledge mining model and a screening framework to analyze which risk predictors are more likely to imply severe AKI in hospitalized

SUBMITTER: Wu L 

PROVIDER: S-EPMC8127080 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature