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Evaluation of Predictors, Kinetics of Renal Recovery and Outcomes of COVID-19 Patients with Acute Kidney Injury Admitted to Intensive Care Unit: An Observational Study

BACKGROUND: The incidence of acute kidney injury (AKI) is greater than 50% among coronavirus disease-2019 (COVID-19) patients admitted to the intensive care unit (ICU). However, the literature on predictors and kinetics of renal recovery remains unclear. PATIENTS AND METHODS: This observational stud...

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Autores principales: Gudivada, Kiran Kumar, Narayan, Shiva Kumar, Narasimha, Alok, Krishna, Bhuvana, Muralidhara, Krithika Dandinashivara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Jaypee Brothers Medical Publishers 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9886020/
https://www.ncbi.nlm.nih.gov/pubmed/36755632
http://dx.doi.org/10.5005/jp-journals-10071-24372
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author Gudivada, Kiran Kumar
Narayan, Shiva Kumar
Narasimha, Alok
Krishna, Bhuvana
Muralidhara, Krithika Dandinashivara
author_facet Gudivada, Kiran Kumar
Narayan, Shiva Kumar
Narasimha, Alok
Krishna, Bhuvana
Muralidhara, Krithika Dandinashivara
author_sort Gudivada, Kiran Kumar
collection PubMed
description BACKGROUND: The incidence of acute kidney injury (AKI) is greater than 50% among coronavirus disease-2019 (COVID-19) patients admitted to the intensive care unit (ICU). However, the literature on predictors and kinetics of renal recovery remains unclear. PATIENTS AND METHODS: This observational study was conducted in a 30-bedded mixed ICU of a tertiary care center from May 2020 to July 2021. A total of 200 consecutive adult COVID-19 patients who had AKI in ICU were included. Using logistic regression with the best subset selection, predictors of renal recovery were identified. Outcomes and kinetics of AKI recovery were determined. RESULTS: Among 200 patients, 67 recovered from AKI, of which 38, 17, and 12 patients had transient AKI, persistent AKI, and acute kidney disease (AKD), respectively. A total of 25 patients had AKI relapse, primarily associated with hospital-acquired infections. Results of logistic regression showed that the combination of Acute Physiology and Chronic Health Evaluation (APACHE II) {odds ratio (OR) 1.1 [p < 0.001; 95% confidence interval (CI) 1.06–1.16]}, day onset of AKI [OR 1.6 (p = 0.001; 1.24–2.24)] and severity of AKI [OR 2.9 (p < 0.001; 2.03–4.36)] were the predictors associated with poor renal recovery. This model had sufficient discrimination with the area under the curve (AUC) of 0.86. Renal replacement therapy requirement and mortality among COVID–AKI patients were 68 and 84%, respectively. CONCLUSION: A higher APACHE II at admission, a longer time to onset of AKI, and the severity of AKI during ICU stay predicted poor renal recovery. Study results emphasize the need for stepping-up dialysis resources in the likely case of future waves of COVID-19. The relapse of AKI was associated with sepsis, and mortality rates were substantially high. HOW TO CITE THIS ARTICLE: Gudivada KK, Narayan SK, Narasimha A, Krishna B, Muralidhara KD. Evaluation of Predictors, Kinetics of Renal Recovery and Outcomes of COVID-19 Patients with Acute Kidney Injury Admitted to Intensive Care Unit: An Observational Study. Indian J Crit Care Med 2022;26(12):1293–1299.
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spelling pubmed-98860202023-02-07 Evaluation of Predictors, Kinetics of Renal Recovery and Outcomes of COVID-19 Patients with Acute Kidney Injury Admitted to Intensive Care Unit: An Observational Study Gudivada, Kiran Kumar Narayan, Shiva Kumar Narasimha, Alok Krishna, Bhuvana Muralidhara, Krithika Dandinashivara Indian J Crit Care Med Original Article BACKGROUND: The incidence of acute kidney injury (AKI) is greater than 50% among coronavirus disease-2019 (COVID-19) patients admitted to the intensive care unit (ICU). However, the literature on predictors and kinetics of renal recovery remains unclear. PATIENTS AND METHODS: This observational study was conducted in a 30-bedded mixed ICU of a tertiary care center from May 2020 to July 2021. A total of 200 consecutive adult COVID-19 patients who had AKI in ICU were included. Using logistic regression with the best subset selection, predictors of renal recovery were identified. Outcomes and kinetics of AKI recovery were determined. RESULTS: Among 200 patients, 67 recovered from AKI, of which 38, 17, and 12 patients had transient AKI, persistent AKI, and acute kidney disease (AKD), respectively. A total of 25 patients had AKI relapse, primarily associated with hospital-acquired infections. Results of logistic regression showed that the combination of Acute Physiology and Chronic Health Evaluation (APACHE II) {odds ratio (OR) 1.1 [p < 0.001; 95% confidence interval (CI) 1.06–1.16]}, day onset of AKI [OR 1.6 (p = 0.001; 1.24–2.24)] and severity of AKI [OR 2.9 (p < 0.001; 2.03–4.36)] were the predictors associated with poor renal recovery. This model had sufficient discrimination with the area under the curve (AUC) of 0.86. Renal replacement therapy requirement and mortality among COVID–AKI patients were 68 and 84%, respectively. CONCLUSION: A higher APACHE II at admission, a longer time to onset of AKI, and the severity of AKI during ICU stay predicted poor renal recovery. Study results emphasize the need for stepping-up dialysis resources in the likely case of future waves of COVID-19. The relapse of AKI was associated with sepsis, and mortality rates were substantially high. HOW TO CITE THIS ARTICLE: Gudivada KK, Narayan SK, Narasimha A, Krishna B, Muralidhara KD. Evaluation of Predictors, Kinetics of Renal Recovery and Outcomes of COVID-19 Patients with Acute Kidney Injury Admitted to Intensive Care Unit: An Observational Study. Indian J Crit Care Med 2022;26(12):1293–1299. Jaypee Brothers Medical Publishers 2022-12 /pmc/articles/PMC9886020/ /pubmed/36755632 http://dx.doi.org/10.5005/jp-journals-10071-24372 Text en Copyright © 2022; Jaypee Brothers Medical Publishers (P) Ltd. https://creativecommons.org/licenses/by-nc/4.0/© The Author(s). 2022 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and non-commercial reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated.
spellingShingle Original Article
Gudivada, Kiran Kumar
Narayan, Shiva Kumar
Narasimha, Alok
Krishna, Bhuvana
Muralidhara, Krithika Dandinashivara
Evaluation of Predictors, Kinetics of Renal Recovery and Outcomes of COVID-19 Patients with Acute Kidney Injury Admitted to Intensive Care Unit: An Observational Study
title Evaluation of Predictors, Kinetics of Renal Recovery and Outcomes of COVID-19 Patients with Acute Kidney Injury Admitted to Intensive Care Unit: An Observational Study
title_full Evaluation of Predictors, Kinetics of Renal Recovery and Outcomes of COVID-19 Patients with Acute Kidney Injury Admitted to Intensive Care Unit: An Observational Study
title_fullStr Evaluation of Predictors, Kinetics of Renal Recovery and Outcomes of COVID-19 Patients with Acute Kidney Injury Admitted to Intensive Care Unit: An Observational Study
title_full_unstemmed Evaluation of Predictors, Kinetics of Renal Recovery and Outcomes of COVID-19 Patients with Acute Kidney Injury Admitted to Intensive Care Unit: An Observational Study
title_short Evaluation of Predictors, Kinetics of Renal Recovery and Outcomes of COVID-19 Patients with Acute Kidney Injury Admitted to Intensive Care Unit: An Observational Study
title_sort evaluation of predictors, kinetics of renal recovery and outcomes of covid-19 patients with acute kidney injury admitted to intensive care unit: an observational study
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9886020/
https://www.ncbi.nlm.nih.gov/pubmed/36755632
http://dx.doi.org/10.5005/jp-journals-10071-24372
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