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COVID-19-associated AKI in hospitalized US patients: incidence, temporal trends, geographical distribution, risk factors and mortality
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 system...
Autores principales: | , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460976/ https://www.ncbi.nlm.nih.gov/pubmed/36093355 http://dx.doi.org/10.1101/2022.09.02.22279398 |
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author | 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. Saran, Rajiv Zhu, Richard L. Setoguchi, Soko Kane-Gill, Sandra L. Mallipattu, Sandeep K. He, Yongqun Ellison, David H. Byrd, James Brian Parikh, Chirag R. Moffitt, Richard A. Koraishy, Farrukh M. |
author_facet | 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. Saran, Rajiv Zhu, Richard L. Setoguchi, Soko Kane-Gill, Sandra L. Mallipattu, Sandeep K. He, Yongqun Ellison, David H. Byrd, James Brian Parikh, Chirag R. Moffitt, Richard A. Koraishy, Farrukh M. |
author_sort | Yoo, Yun Jae |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9460976 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-94609762022-09-10 COVID-19-associated AKI in hospitalized US patients: incidence, temporal trends, geographical distribution, risk factors and mortality 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. Saran, Rajiv Zhu, Richard L. Setoguchi, Soko Kane-Gill, Sandra L. Mallipattu, Sandeep K. He, Yongqun Ellison, David H. Byrd, James Brian Parikh, Chirag R. Moffitt, Richard A. Koraishy, Farrukh M. medRxiv Article 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. Cold Spring Harbor Laboratory 2022-09-02 /pmc/articles/PMC9460976/ /pubmed/36093355 http://dx.doi.org/10.1101/2022.09.02.22279398 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article 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. Saran, Rajiv Zhu, Richard L. Setoguchi, Soko Kane-Gill, Sandra L. Mallipattu, Sandeep K. He, Yongqun Ellison, David H. Byrd, James Brian Parikh, Chirag R. Moffitt, Richard A. Koraishy, Farrukh M. COVID-19-associated AKI in hospitalized US patients: incidence, temporal trends, geographical distribution, risk factors and mortality |
title | COVID-19-associated AKI in hospitalized US patients: incidence, temporal trends, geographical distribution, risk factors and mortality |
title_full | COVID-19-associated AKI in hospitalized US patients: incidence, temporal trends, geographical distribution, risk factors and mortality |
title_fullStr | COVID-19-associated AKI in hospitalized US patients: incidence, temporal trends, geographical distribution, risk factors and mortality |
title_full_unstemmed | COVID-19-associated AKI in hospitalized US patients: incidence, temporal trends, geographical distribution, risk factors and mortality |
title_short | COVID-19-associated AKI in hospitalized US patients: incidence, temporal trends, geographical distribution, risk factors and mortality |
title_sort | covid-19-associated aki in hospitalized us patients: incidence, temporal trends, geographical distribution, risk factors and mortality |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460976/ https://www.ncbi.nlm.nih.gov/pubmed/36093355 http://dx.doi.org/10.1101/2022.09.02.22279398 |
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