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COVID-19-associated AKI in hospitalized US patients: incidence, temporal trends, geographical distribution, risk factors and mortality [preprint]

Yoo, Yun Jae
Wilkins, Kenneth J.
Alakwaa, Fadhl
LIu, Feifan
Torre-Healy, Luke A.
Krichevsky, Spencer
Hong, Stephanie S.
Sakhuja, Ankit
Potu, Chetan K.
Saltz, Joel H.
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Abstract

Background Acute kidney injury (AKI) is associated with mortality in patients hospitalized with COVID-19, however, its incidence, geographic distribution, and temporal trends since the start of the pandemic are understudied.

Methods Electronic health record data were obtained from 53 health systems in the United States (US) in the National COVID Cohort Collaborative (N3C). We selected hospitalized adults diagnosed with COVID-19 between March 6th, 2020, and January 6th, 2022. AKI was determined with serum creatinine (SCr) and diagnosis codes. Time were divided into 16-weeks (P1-6) periods and geographical regions into Northeast, Midwest, South, and West. Multivariable models were used to analyze the risk factors for AKI or mortality.

Results Out of a total cohort of 306,061, 126,478 (41.0 %) patients had AKI. Among these, 17.9% lacked a diagnosis code but had AKI based on the change in SCr. Similar to patients coded for AKI, these patients had higher mortality compared to those without AKI. The incidence of AKI was highest in P1 (49.3%), reduced in P2 (40.6%), and relatively stable thereafter. Compared to the Midwest, the Northeast, South, and West had higher adjusted AKI incidence in P1, subsequently, the South and West regions continued to have the highest relative incidence. In multivariable models, AKI defined by either SCr or diagnostic code, and the severity of AKI was associated with mortality.

Conclusions Uncoded cases of COVID-19-associated AKI are common and associated with mortality. The incidence and distribution of COVID-19-associated AKI have changed since the first wave of the pandemic in the US.

Source

COVID-19-associated AKI in hospitalized US patients: incidence, temporal trends, geographical distribution, risk factors and mortality Masthead, Yun Jae Yoo, Kenneth J. Wilkins, Fadhl Alakwaa, Feifan Liu, Luke A. Torre-Healy, Spencer Krichevsky, Stephanie S. Hong, Ankit Sakhuja, Chetan K. Potu, Joel H. Saltz, Rajiv Saran, Richard L. Zhu, Soko Setoguchi, Sandra L. Kane-Gill, Sandeep K. Mallipattu, Yongqun He, David H. Ellison, James Brian Byrd, Chirag R. Parikh, Richard A. Moffitt, Farrukh M. Koraishy medRxiv 2022.09.02.22279398; doi: https://doi.org/10.1101/2022.09.02.22279398

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DOI
10.1101/2022.09.02.22279398
PubMed ID
36093355
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This article is a preprint. Preprints are preliminary reports of work that have not been certified by peer review.

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The copyright holder for this preprint is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-ND 4.0 International license.; Attribution-NoDerivatives 4.0 International