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Dataset Information

Integrated Analysis of Blood and Urine Biomarkers to Identify Acute Kidney Injury Subphenotypes and Associations With Long-term Outcomes.


ABSTRACT:

Rationale & objective

Acute kidney injury (AKI) is a heterogeneous clinical syndrome with varying causes, pathophysiology, and outcomes. We incorporated plasma and urine biomarker measurements to identify AKI subgroups (subphenotypes) more tightly linked to underlying pathophysiology and long-term clinical outcomes.

Study design

Multicenter cohort study.

Setting & participants

769 hospitalized adults with AKI matched with 769 without AKI, enrolled from December 2009 to February 2015 in the ASSESS-AKI Study.

Predictors

29 clinical, plasma, and urinary biomarker parameters used to identify AKI subphenotypes.

Outcome

Composite of major adverse kidney events (MAKE) with a median follow-up period of 4.7 years.

Analytical approach

Latent class analysis

SUBMITTER: Bhatraju PK 

PROVIDER: S-EPMC10523857 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature