Unknown

Dataset Information

Prediction of Mortality and Major Adverse Kidney Events in Critically Ill Patients With Acute Kidney Injury.


ABSTRACT:

Rationale & objective

Risk prediction tools for assisting acute kidney injury (AKI) management have focused on AKI onset but have infrequently addressed kidney recovery. We developed clinical models for risk stratification of mortality and major adverse kidney events (MAKE) in critically ill patients with incident AKI.

Study design

Multicenter cohort study.

Setting & participants

9,587 adult patients admitted to heterogeneous intensive care units (ICUs; March 2009 to February 2017) who experienced AKI within the first 3 days of their ICU stays.

Predictors

Multimodal clinical data consisting of 71 features collected in the first 3 days of ICU stay.

Outcomes

(1) Hospital mortality and (2) MAKE, defined as the composite of death during hospitalization or wi

SUBMITTER: Neyra JA 

PROVIDER: S-EPMC9780161 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature