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Acute Kidney Injury and Early Predictive Factors in COVID-19 Patients
Objectives: Our objective was to explore the incidence and early predictive factors of acute kidney injury in coronavirus disease 2019 (COVID-19) patients. Method: We established a retrospective cohort of 408 patients who were admitted to Shenzhen Third People's Hospital in Shenzhen, China, bet...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8311118/ https://www.ncbi.nlm.nih.gov/pubmed/34322497 http://dx.doi.org/10.3389/fmed.2021.604242 |
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author | Liu, Jiaye Wang, Tingyan Cai, Qingxian Huang, Deliang Sun, Liqin He, Qing Wang, Fu-Sheng Chen, Jun |
author_facet | Liu, Jiaye Wang, Tingyan Cai, Qingxian Huang, Deliang Sun, Liqin He, Qing Wang, Fu-Sheng Chen, Jun |
author_sort | Liu, Jiaye |
collection | PubMed |
description | Objectives: Our objective was to explore the incidence and early predictive factors of acute kidney injury in coronavirus disease 2019 (COVID-19) patients. Method: We established a retrospective cohort of 408 patients who were admitted to Shenzhen Third People's Hospital in Shenzhen, China, between January 1 and March 31, 2020. Clinical outcomes and renal function were monitored until April 12, 2020, with a median follow-up duration of 21 days [interquartile range (IQR) = 14–33]. Results: When first admitted to hospital (baseline), 19.36% (79/408) presented renal dysfunction [estimated glomerular filtration rate (eGFR) <90 ml/min/1.73 m(2)]. During follow-up, 3.9% (16/408) developed acute kidney injury (AKI). Age ≥60 years [hazard ratio (HR) = 4.78, 95% CI = 1.10–20.69], PaO(2)/FiO(2) ratio <300 (HR = 3.48, 95% CI = 1.04–11.62), and higher creatinine (HR = 1.04, 95% CI = 1.01–1.07) at baseline independently predicted the risk of AKI. Respectively, 25.0% (102/408), 3.9% (16/408), 0.5% (2/408), 1.0% (4/408), and 0.2% (1/408) experienced G2, G3a, G3b, G4, and G5 as their most severe category during hospitalization, while 69.4% (283/408) had normal eGFRs throughout the follow-up period. When finally discharged from hospital, there were 12.5% (51/408) of patients with abnormal eGFRs. Conclusions: COVID-19 patients can be at risk of AKI and continuous eGFR decline during hospitalization, which can be early predicted by baseline factors. Some individuals still had renal dysfunction when finally discharged from hospital. |
format | Online Article Text |
id | pubmed-8311118 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-83111182021-07-27 Acute Kidney Injury and Early Predictive Factors in COVID-19 Patients Liu, Jiaye Wang, Tingyan Cai, Qingxian Huang, Deliang Sun, Liqin He, Qing Wang, Fu-Sheng Chen, Jun Front Med (Lausanne) Medicine Objectives: Our objective was to explore the incidence and early predictive factors of acute kidney injury in coronavirus disease 2019 (COVID-19) patients. Method: We established a retrospective cohort of 408 patients who were admitted to Shenzhen Third People's Hospital in Shenzhen, China, between January 1 and March 31, 2020. Clinical outcomes and renal function were monitored until April 12, 2020, with a median follow-up duration of 21 days [interquartile range (IQR) = 14–33]. Results: When first admitted to hospital (baseline), 19.36% (79/408) presented renal dysfunction [estimated glomerular filtration rate (eGFR) <90 ml/min/1.73 m(2)]. During follow-up, 3.9% (16/408) developed acute kidney injury (AKI). Age ≥60 years [hazard ratio (HR) = 4.78, 95% CI = 1.10–20.69], PaO(2)/FiO(2) ratio <300 (HR = 3.48, 95% CI = 1.04–11.62), and higher creatinine (HR = 1.04, 95% CI = 1.01–1.07) at baseline independently predicted the risk of AKI. Respectively, 25.0% (102/408), 3.9% (16/408), 0.5% (2/408), 1.0% (4/408), and 0.2% (1/408) experienced G2, G3a, G3b, G4, and G5 as their most severe category during hospitalization, while 69.4% (283/408) had normal eGFRs throughout the follow-up period. When finally discharged from hospital, there were 12.5% (51/408) of patients with abnormal eGFRs. Conclusions: COVID-19 patients can be at risk of AKI and continuous eGFR decline during hospitalization, which can be early predicted by baseline factors. Some individuals still had renal dysfunction when finally discharged from hospital. Frontiers Media S.A. 2021-07-12 /pmc/articles/PMC8311118/ /pubmed/34322497 http://dx.doi.org/10.3389/fmed.2021.604242 Text en Copyright © 2021 Liu, Wang, Cai, Huang, Sun, He, Wang and Chen. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Medicine Liu, Jiaye Wang, Tingyan Cai, Qingxian Huang, Deliang Sun, Liqin He, Qing Wang, Fu-Sheng Chen, Jun Acute Kidney Injury and Early Predictive Factors in COVID-19 Patients |
title | Acute Kidney Injury and Early Predictive Factors in COVID-19 Patients |
title_full | Acute Kidney Injury and Early Predictive Factors in COVID-19 Patients |
title_fullStr | Acute Kidney Injury and Early Predictive Factors in COVID-19 Patients |
title_full_unstemmed | Acute Kidney Injury and Early Predictive Factors in COVID-19 Patients |
title_short | Acute Kidney Injury and Early Predictive Factors in COVID-19 Patients |
title_sort | acute kidney injury and early predictive factors in covid-19 patients |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8311118/ https://www.ncbi.nlm.nih.gov/pubmed/34322497 http://dx.doi.org/10.3389/fmed.2021.604242 |
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