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Differential Bias for Creatinine- and Cystatin C- Derived Estimated Glomerular Filtration Rate in Critical COVID-19

COVID-19 is a systemic disease, frequently affecting kidney function. Dexamethasone is standard treatment in severe COVID-19 cases, and is considered to increase plasma levels of cystatin C. However, this has not been studied in COVID-19. Glomerular filtration rate (GFR) is a clinically important in...

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Autores principales: Larsson, Anders O., Hultström, Michael, Frithiof, Robert, Nyman, Ulf, Lipcsey, Miklos, Eriksson, Mats B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9687311/
https://www.ncbi.nlm.nih.gov/pubmed/36359231
http://dx.doi.org/10.3390/biomedicines10112708
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author Larsson, Anders O.
Hultström, Michael
Frithiof, Robert
Nyman, Ulf
Lipcsey, Miklos
Eriksson, Mats B.
author_facet Larsson, Anders O.
Hultström, Michael
Frithiof, Robert
Nyman, Ulf
Lipcsey, Miklos
Eriksson, Mats B.
author_sort Larsson, Anders O.
collection PubMed
description COVID-19 is a systemic disease, frequently affecting kidney function. Dexamethasone is standard treatment in severe COVID-19 cases, and is considered to increase plasma levels of cystatin C. However, this has not been studied in COVID-19. Glomerular filtration rate (GFR) is a clinically important indicator of renal function, but often estimated using equations (eGFR) based on filtered metabolites. This study focuses on sources of bias for eGFRs (mL/min) using a creatinine-based equation (eGFR(LMR)) and a cystatin C-based equation (eGFR(CAPA)) in intensive-care-treated patients with COVID-19. This study was performed on 351 patients aged 18 years old or above with severe COVID-19 infections, admitted to the intensive care unit (ICU) in Uppsala University Hospital, a tertiary care hospital in Uppsala, Sweden, between 14 March 2020 and 10 March 2021. Dexamethasone treatment (6 mg for up to 10 days) was introduced 22 June 2020 (n = 232). Values are presented as medians (IQR). eGFR(CAPA) in dexamethasone-treated patients was 69 (37), and 74 (46) in patients not given dexamethasone (p = 0.01). eGFR(LMR) was not affected by dexamethasone. eGFR(LMR) in females was 94 (20), and 75 (38) in males (p = 0.00001). Age and maximal CRP correlated negatively to eGFR(CAPA) and eGFR(LMR), whereas both eGFR equations correlated positively to BMI. In ICU patients with COVID-19, dexamethasone treatment was associated with reduced eGFR(CAPA). This finding may be explained by corticosteroid-induced increases in plasma cystatin C. This observation is important from a clinical perspective since adequate interpretation of laboratory results is crucial.
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spelling pubmed-96873112022-11-25 Differential Bias for Creatinine- and Cystatin C- Derived Estimated Glomerular Filtration Rate in Critical COVID-19 Larsson, Anders O. Hultström, Michael Frithiof, Robert Nyman, Ulf Lipcsey, Miklos Eriksson, Mats B. Biomedicines Article COVID-19 is a systemic disease, frequently affecting kidney function. Dexamethasone is standard treatment in severe COVID-19 cases, and is considered to increase plasma levels of cystatin C. However, this has not been studied in COVID-19. Glomerular filtration rate (GFR) is a clinically important indicator of renal function, but often estimated using equations (eGFR) based on filtered metabolites. This study focuses on sources of bias for eGFRs (mL/min) using a creatinine-based equation (eGFR(LMR)) and a cystatin C-based equation (eGFR(CAPA)) in intensive-care-treated patients with COVID-19. This study was performed on 351 patients aged 18 years old or above with severe COVID-19 infections, admitted to the intensive care unit (ICU) in Uppsala University Hospital, a tertiary care hospital in Uppsala, Sweden, between 14 March 2020 and 10 March 2021. Dexamethasone treatment (6 mg for up to 10 days) was introduced 22 June 2020 (n = 232). Values are presented as medians (IQR). eGFR(CAPA) in dexamethasone-treated patients was 69 (37), and 74 (46) in patients not given dexamethasone (p = 0.01). eGFR(LMR) was not affected by dexamethasone. eGFR(LMR) in females was 94 (20), and 75 (38) in males (p = 0.00001). Age and maximal CRP correlated negatively to eGFR(CAPA) and eGFR(LMR), whereas both eGFR equations correlated positively to BMI. In ICU patients with COVID-19, dexamethasone treatment was associated with reduced eGFR(CAPA). This finding may be explained by corticosteroid-induced increases in plasma cystatin C. This observation is important from a clinical perspective since adequate interpretation of laboratory results is crucial. MDPI 2022-10-26 /pmc/articles/PMC9687311/ /pubmed/36359231 http://dx.doi.org/10.3390/biomedicines10112708 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Larsson, Anders O.
Hultström, Michael
Frithiof, Robert
Nyman, Ulf
Lipcsey, Miklos
Eriksson, Mats B.
Differential Bias for Creatinine- and Cystatin C- Derived Estimated Glomerular Filtration Rate in Critical COVID-19
title Differential Bias for Creatinine- and Cystatin C- Derived Estimated Glomerular Filtration Rate in Critical COVID-19
title_full Differential Bias for Creatinine- and Cystatin C- Derived Estimated Glomerular Filtration Rate in Critical COVID-19
title_fullStr Differential Bias for Creatinine- and Cystatin C- Derived Estimated Glomerular Filtration Rate in Critical COVID-19
title_full_unstemmed Differential Bias for Creatinine- and Cystatin C- Derived Estimated Glomerular Filtration Rate in Critical COVID-19
title_short Differential Bias for Creatinine- and Cystatin C- Derived Estimated Glomerular Filtration Rate in Critical COVID-19
title_sort differential bias for creatinine- and cystatin c- derived estimated glomerular filtration rate in critical covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9687311/
https://www.ncbi.nlm.nih.gov/pubmed/36359231
http://dx.doi.org/10.3390/biomedicines10112708
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