Ontology highlight
ABSTRACT: Background
Acute kidney injury (AKI) is a serious global public health problem. We aimed to quantify the risk of AKI associated with estimated glomerular filtration rate (eGFR), albuminuria (albumin-creatinine ratio [ACR]), age, sex, and race (African American and white).Study design
Collaborative meta-analysis.Setting & population
8 general-population cohorts (1,285,049 participants) and 5 chronic kidney disease (CKD) cohorts (79,519 participants).Selection criteria for studies
Available eGFR, ACR, and 50 or more AKI events.Predictors
Age, sex, race, eGFR, urine ACR, and interactions.Outcome
Hospitalized with or for AKI, using Cox proportional hazards models to estimate HRs of AKI and random-effects meta-analysis to pool results.Results<
SUBMITTER: Grams ME
PROVIDER: S-EPMC4584180 | biostudies-literature | 2015 Oct
REPOSITORIES: biostudies-literature