Publication Date
6-1-2023
Journal
Journal of Investigative Medicine
DOI
10.1177/10815589221140592
PMID
36786195
PMCID
PMC9929183
PubMedCentral® Posted Date
2-14-2023
PubMedCentral® Full Text Version
Post-print
Published Open-Access
yes
Keywords
Humans, SARS-CoV-2, COVID-19, Acute Kidney Injury, Hospitals
Abstract
We previously developed and validated a model to predict acute kidney injury (AKI) in hospitalized coronavirus disease 2019 (COVID-19) patients and found that the variables with the highest importance included a history of chronic kidney disease and markers of inflammation. Here, we assessed model performance during periods when COVID-19 cases were attributable almost exclusively to individual variants. Electronic Health Record data were obtained from patients admitted to 19 hospitals. The outcome was hospital-acquired AKI. The model, previously built in an
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Clinical Epidemiology Commons, COVID-19 Commons, Diseases Commons, Internal Medicine Commons, Medical Sciences Commons, Nephrology Commons