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Early reduction of estimated Glomerular Filtration Rate (eGFR) predicts poor outcome in acutely ill hospitalized COVID-19 patients firstly admitted to medical regular wards (eGFR-COV19 study)

BACKGROUND: Analysis of autopsy tissues obtained from patients who died from COVID-19 showed kidney tropism for SARS-COV-2, with COVID-19-related renal dysfunction representing an overlooked problem even in patients lacking previous history of chronic kidney disease. This study aimed to corroborate...

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Autores principales: Cei, Francesco, Chiarugi, Ludia, Brancati, Simona, Montini, Maria Silvia, Dolenti, Silvia, Di Stefano, Daniele, Beatrice, Salvatore, Sellerio, Irene, Messiniti, Valentina, Gucci, Marco Maria, Vannini, Giulia, Lavecchia, Rinaldo, Cioni, Elisa, Mattaliano, Chiara, Pelagalli, Giulia, Panigada, Grazia, Murgo, Emanuele, Mazzoccoli, Gianluigi, Landini, Giancarlo, Tarquini, Roberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Masson SAS. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9300590/
https://www.ncbi.nlm.nih.gov/pubmed/36076568
http://dx.doi.org/10.1016/j.biopha.2022.113454
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author Cei, Francesco
Chiarugi, Ludia
Brancati, Simona
Montini, Maria Silvia
Dolenti, Silvia
Di Stefano, Daniele
Beatrice, Salvatore
Sellerio, Irene
Messiniti, Valentina
Gucci, Marco Maria
Vannini, Giulia
Lavecchia, Rinaldo
Cioni, Elisa
Mattaliano, Chiara
Pelagalli, Giulia
Panigada, Grazia
Murgo, Emanuele
Mazzoccoli, Gianluigi
Landini, Giancarlo
Tarquini, Roberto
author_facet Cei, Francesco
Chiarugi, Ludia
Brancati, Simona
Montini, Maria Silvia
Dolenti, Silvia
Di Stefano, Daniele
Beatrice, Salvatore
Sellerio, Irene
Messiniti, Valentina
Gucci, Marco Maria
Vannini, Giulia
Lavecchia, Rinaldo
Cioni, Elisa
Mattaliano, Chiara
Pelagalli, Giulia
Panigada, Grazia
Murgo, Emanuele
Mazzoccoli, Gianluigi
Landini, Giancarlo
Tarquini, Roberto
author_sort Cei, Francesco
collection PubMed
description BACKGROUND: Analysis of autopsy tissues obtained from patients who died from COVID-19 showed kidney tropism for SARS-COV-2, with COVID-19-related renal dysfunction representing an overlooked problem even in patients lacking previous history of chronic kidney disease. This study aimed to corroborate in a substantial sample of consecutive acutely ill COVID-19 hospitalized patients the efficacy of estimated GFR (eGFR), assessed at hospital admission, to identify acute renal function derangement and the predictive role of its association with in-hospital death and need for mechanical ventilation and admission to intensive care unit (ICU). METHODS: We retrospectively analyzed charts of 764 patients firstly admitted to regular medical wards (Division of Internal Medicine) for symptomatic COVID-19 between March 6th and May 30th, 2020 and between October 1st, 2020 and March 15th, 2021. eGFR values were calculated with the 2021 CKD-EPI formula and assessed at hospital admission and discharge. Baseline creatinine and GFR values were assessed by chart review of patients’ medical records from hospital admittance data in the previous year. The primary outcome was in-hospital mortality, while ARDS development and need for non-invasive ventilation (NIV) and invasive mechanical ventilation (IMV) were the secondary outcomes. RESULTS: SARS-COV-2 infection was diagnosed in 764 patients admitted with COVID-19 symptoms. A total of 682 patients (age range 23–100 years) were considered for statistical analysis, 310 needed mechanical ventilation and 137 died. An eGFR value <60 mL/min/1.73 m(2) was found in 208 patients, 181 met KDIGO AKI criteria; eGFR values at hospital admission were significantly lower with respect to both hospital discharge and baseline values (p < 0.001). In multivariate analysis, an eGFR value <60 mL/min/1.73 m(2) was significantly associated with in-hospital mortality (OR 2.6, 1.7–4.8, p = 0.003); no association was found with both ARDS and need for mechanical ventilation. eGFR was non-inferior to both IL-6 serum levels and CALL Score in predicting in-hospital death (AUC 0.71, 0.68–0.74, p = 0.55). CONCLUSIONS: eGFR calculated at hospital admission correlated well with COVID-19-related kidney injury and eGFR values < 60 mL/min/1,73 m(2) were independently associated with in-hospital mortality, but not with both ARDS or need for mechanical ventilation.
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spelling pubmed-93005902022-07-21 Early reduction of estimated Glomerular Filtration Rate (eGFR) predicts poor outcome in acutely ill hospitalized COVID-19 patients firstly admitted to medical regular wards (eGFR-COV19 study) Cei, Francesco Chiarugi, Ludia Brancati, Simona Montini, Maria Silvia Dolenti, Silvia Di Stefano, Daniele Beatrice, Salvatore Sellerio, Irene Messiniti, Valentina Gucci, Marco Maria Vannini, Giulia Lavecchia, Rinaldo Cioni, Elisa Mattaliano, Chiara Pelagalli, Giulia Panigada, Grazia Murgo, Emanuele Mazzoccoli, Gianluigi Landini, Giancarlo Tarquini, Roberto Biomed Pharmacother Article BACKGROUND: Analysis of autopsy tissues obtained from patients who died from COVID-19 showed kidney tropism for SARS-COV-2, with COVID-19-related renal dysfunction representing an overlooked problem even in patients lacking previous history of chronic kidney disease. This study aimed to corroborate in a substantial sample of consecutive acutely ill COVID-19 hospitalized patients the efficacy of estimated GFR (eGFR), assessed at hospital admission, to identify acute renal function derangement and the predictive role of its association with in-hospital death and need for mechanical ventilation and admission to intensive care unit (ICU). METHODS: We retrospectively analyzed charts of 764 patients firstly admitted to regular medical wards (Division of Internal Medicine) for symptomatic COVID-19 between March 6th and May 30th, 2020 and between October 1st, 2020 and March 15th, 2021. eGFR values were calculated with the 2021 CKD-EPI formula and assessed at hospital admission and discharge. Baseline creatinine and GFR values were assessed by chart review of patients’ medical records from hospital admittance data in the previous year. The primary outcome was in-hospital mortality, while ARDS development and need for non-invasive ventilation (NIV) and invasive mechanical ventilation (IMV) were the secondary outcomes. RESULTS: SARS-COV-2 infection was diagnosed in 764 patients admitted with COVID-19 symptoms. A total of 682 patients (age range 23–100 years) were considered for statistical analysis, 310 needed mechanical ventilation and 137 died. An eGFR value <60 mL/min/1.73 m(2) was found in 208 patients, 181 met KDIGO AKI criteria; eGFR values at hospital admission were significantly lower with respect to both hospital discharge and baseline values (p < 0.001). In multivariate analysis, an eGFR value <60 mL/min/1.73 m(2) was significantly associated with in-hospital mortality (OR 2.6, 1.7–4.8, p = 0.003); no association was found with both ARDS and need for mechanical ventilation. eGFR was non-inferior to both IL-6 serum levels and CALL Score in predicting in-hospital death (AUC 0.71, 0.68–0.74, p = 0.55). CONCLUSIONS: eGFR calculated at hospital admission correlated well with COVID-19-related kidney injury and eGFR values < 60 mL/min/1,73 m(2) were independently associated with in-hospital mortality, but not with both ARDS or need for mechanical ventilation. The Author(s). Published by Elsevier Masson SAS. 2022-09 2022-07-21 /pmc/articles/PMC9300590/ /pubmed/36076568 http://dx.doi.org/10.1016/j.biopha.2022.113454 Text en © 2022 The Authors Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Cei, Francesco
Chiarugi, Ludia
Brancati, Simona
Montini, Maria Silvia
Dolenti, Silvia
Di Stefano, Daniele
Beatrice, Salvatore
Sellerio, Irene
Messiniti, Valentina
Gucci, Marco Maria
Vannini, Giulia
Lavecchia, Rinaldo
Cioni, Elisa
Mattaliano, Chiara
Pelagalli, Giulia
Panigada, Grazia
Murgo, Emanuele
Mazzoccoli, Gianluigi
Landini, Giancarlo
Tarquini, Roberto
Early reduction of estimated Glomerular Filtration Rate (eGFR) predicts poor outcome in acutely ill hospitalized COVID-19 patients firstly admitted to medical regular wards (eGFR-COV19 study)
title Early reduction of estimated Glomerular Filtration Rate (eGFR) predicts poor outcome in acutely ill hospitalized COVID-19 patients firstly admitted to medical regular wards (eGFR-COV19 study)
title_full Early reduction of estimated Glomerular Filtration Rate (eGFR) predicts poor outcome in acutely ill hospitalized COVID-19 patients firstly admitted to medical regular wards (eGFR-COV19 study)
title_fullStr Early reduction of estimated Glomerular Filtration Rate (eGFR) predicts poor outcome in acutely ill hospitalized COVID-19 patients firstly admitted to medical regular wards (eGFR-COV19 study)
title_full_unstemmed Early reduction of estimated Glomerular Filtration Rate (eGFR) predicts poor outcome in acutely ill hospitalized COVID-19 patients firstly admitted to medical regular wards (eGFR-COV19 study)
title_short Early reduction of estimated Glomerular Filtration Rate (eGFR) predicts poor outcome in acutely ill hospitalized COVID-19 patients firstly admitted to medical regular wards (eGFR-COV19 study)
title_sort early reduction of estimated glomerular filtration rate (egfr) predicts poor outcome in acutely ill hospitalized covid-19 patients firstly admitted to medical regular wards (egfr-cov19 study)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9300590/
https://www.ncbi.nlm.nih.gov/pubmed/36076568
http://dx.doi.org/10.1016/j.biopha.2022.113454
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