Validation of a Predictive Model for Hospital-Acquired Acute Kidney Injury With Emergence of SARS-CoV-2 Variants

Authors

Meredith C McAdams
Pin Xu
Michael Li
L Parker Gregg
Sameh N Saleh
Mauricio Ostrosky-Frid
Duwayne L Willett
Ferdinand Velasco
Christoph U Lehmann
S Susan Hedayati

Language

English

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

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

Keywords

Humans, SARS-CoV-2, COVID-19, Acute Kidney Injury, Hospitals

Published Open-Access

yes

Recommended Citation

McAdams, Meredith C; Xu, Pin; Li, Michael; et al., "Validation of a Predictive Model for Hospital-Acquired Acute Kidney Injury With Emergence of SARS-CoV-2 Variants" (2023). Faculty and Staff Publications. 1733.
https://digitalcommons.library.tmc.edu/baylor_docs/1733