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Incidence of Chronic Kidney Disease Following Acute Coronavirus Disease 2019 Based on South Carolina Statewide Data

BACKGROUND: Coronavirus disease 2019 (COVID-19) was associated with severe acute illness including multiple organ failure. Acute kidney injury (AKI) was a common finding, often requiring dialysis support. OBJECTIVE: Define the incidence of new clinically identified chronic kidney disease (CKD) among...

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Autores principales: Mathew, Roy O., Zhang, Jiajia, Yang, Xueying, Chen, Shujie, Olatosi, Bankole, Li, Xiaoming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10097447/
https://www.ncbi.nlm.nih.gov/pubmed/37045985
http://dx.doi.org/10.1007/s11606-023-08184-6
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author Mathew, Roy O.
Zhang, Jiajia
Yang, Xueying
Chen, Shujie
Olatosi, Bankole
Li, Xiaoming
author_facet Mathew, Roy O.
Zhang, Jiajia
Yang, Xueying
Chen, Shujie
Olatosi, Bankole
Li, Xiaoming
author_sort Mathew, Roy O.
collection PubMed
description BACKGROUND: Coronavirus disease 2019 (COVID-19) was associated with severe acute illness including multiple organ failure. Acute kidney injury (AKI) was a common finding, often requiring dialysis support. OBJECTIVE: Define the incidence of new clinically identified chronic kidney disease (CKD) among patients with COVID-19 and no pre-existing kidney disease. DESIGN PARTICIPANTS: The South Carolina (SC) Department of Health and Environmental Control (DHEC) COVID-19 mandatory reporting registry of SC residents testing for COVID-19 between March 2020 and October 2021 was included. DESIGN MAIN MEASURES: The primary outcome was a new incidence of a CKD diagnosis (N18.x) in those without a pre-existing diagnosis of CKD during the follow-up period of March 2020 to January 14, 2022. Patients were stratified by severity of illness (hospitalized or not, intensive care unit needed or not). The new incidence of CKD diagnosis was examined using logistic regression and cox proportional hazards analyses. KEY RESULTS: Among patients with COVID-19 (N = 683,958) without a pre-existing CKD diagnosis, 8322 (1.2 %) were found to have a new diagnosis of CKD. The strongest predictors for subsequent CKD diagnosis were age ≥ 60 years hazard ratio (HR) 31.5 (95% confidence interval [95%CI] 25.5–38.8), and intervening (between COVID-19 and CKD diagnoses) AKI diagnosis HR 20.7 (95%CI 19.7–21.7). The presence of AKI was associated with an HR of 23.6, 95% CI 22.3–25.0, among those not hospitalized, and HR of 6.2, 95% CI 5.7–6.8 among those hospitalized, for subsequent CKD. COVID-19 was not significantly associated with subsequent CKD after accounting for the severity of illness and comorbidities. CONCLUSION: Among SC residents, COVID-19 was not associated with CKD independent from indicators of the severity of illness, especially AKI diagnosis. Kidney-specific follow-up testing may be reserved for those high-risk for CKD development. Further prospective registries should examine the long-term kidney consequences to confirm these findings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11606-023-08184-6.
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spelling pubmed-100974472023-04-14 Incidence of Chronic Kidney Disease Following Acute Coronavirus Disease 2019 Based on South Carolina Statewide Data Mathew, Roy O. Zhang, Jiajia Yang, Xueying Chen, Shujie Olatosi, Bankole Li, Xiaoming J Gen Intern Med Original Research BACKGROUND: Coronavirus disease 2019 (COVID-19) was associated with severe acute illness including multiple organ failure. Acute kidney injury (AKI) was a common finding, often requiring dialysis support. OBJECTIVE: Define the incidence of new clinically identified chronic kidney disease (CKD) among patients with COVID-19 and no pre-existing kidney disease. DESIGN PARTICIPANTS: The South Carolina (SC) Department of Health and Environmental Control (DHEC) COVID-19 mandatory reporting registry of SC residents testing for COVID-19 between March 2020 and October 2021 was included. DESIGN MAIN MEASURES: The primary outcome was a new incidence of a CKD diagnosis (N18.x) in those without a pre-existing diagnosis of CKD during the follow-up period of March 2020 to January 14, 2022. Patients were stratified by severity of illness (hospitalized or not, intensive care unit needed or not). The new incidence of CKD diagnosis was examined using logistic regression and cox proportional hazards analyses. KEY RESULTS: Among patients with COVID-19 (N = 683,958) without a pre-existing CKD diagnosis, 8322 (1.2 %) were found to have a new diagnosis of CKD. The strongest predictors for subsequent CKD diagnosis were age ≥ 60 years hazard ratio (HR) 31.5 (95% confidence interval [95%CI] 25.5–38.8), and intervening (between COVID-19 and CKD diagnoses) AKI diagnosis HR 20.7 (95%CI 19.7–21.7). The presence of AKI was associated with an HR of 23.6, 95% CI 22.3–25.0, among those not hospitalized, and HR of 6.2, 95% CI 5.7–6.8 among those hospitalized, for subsequent CKD. COVID-19 was not significantly associated with subsequent CKD after accounting for the severity of illness and comorbidities. CONCLUSION: Among SC residents, COVID-19 was not associated with CKD independent from indicators of the severity of illness, especially AKI diagnosis. Kidney-specific follow-up testing may be reserved for those high-risk for CKD development. Further prospective registries should examine the long-term kidney consequences to confirm these findings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11606-023-08184-6. Springer International Publishing 2023-04-12 2023-06 /pmc/articles/PMC10097447/ /pubmed/37045985 http://dx.doi.org/10.1007/s11606-023-08184-6 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Research
Mathew, Roy O.
Zhang, Jiajia
Yang, Xueying
Chen, Shujie
Olatosi, Bankole
Li, Xiaoming
Incidence of Chronic Kidney Disease Following Acute Coronavirus Disease 2019 Based on South Carolina Statewide Data
title Incidence of Chronic Kidney Disease Following Acute Coronavirus Disease 2019 Based on South Carolina Statewide Data
title_full Incidence of Chronic Kidney Disease Following Acute Coronavirus Disease 2019 Based on South Carolina Statewide Data
title_fullStr Incidence of Chronic Kidney Disease Following Acute Coronavirus Disease 2019 Based on South Carolina Statewide Data
title_full_unstemmed Incidence of Chronic Kidney Disease Following Acute Coronavirus Disease 2019 Based on South Carolina Statewide Data
title_short Incidence of Chronic Kidney Disease Following Acute Coronavirus Disease 2019 Based on South Carolina Statewide Data
title_sort incidence of chronic kidney disease following acute coronavirus disease 2019 based on south carolina statewide data
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10097447/
https://www.ncbi.nlm.nih.gov/pubmed/37045985
http://dx.doi.org/10.1007/s11606-023-08184-6
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