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Development of a multivariate prediction model of intensive care unit transfer or death: A French prospective cohort study of hospitalized COVID-19 patients

Prognostic factors of coronavirus disease 2019 (COVID-19) patients among European population are lacking. Our objective was to identify early prognostic factors upon admission to optimize the management of COVID-19 patients hospitalized in a medical ward. This French single-center prospective cohort...

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Autores principales: Allenbach, Yves, Saadoun, David, Maalouf, Georgina, Vieira, Matheus, Hellio, Alexandra, Boddaert, Jacques, Gros, Hélène, Salem, Joe Elie, Resche Rigon, Matthieu, Menyssa, Cherifa, Biard, Lucie, Benveniste, Olivier, Cacoub, Patrice
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571674/
https://www.ncbi.nlm.nih.gov/pubmed/33075088
http://dx.doi.org/10.1371/journal.pone.0240711
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author Allenbach, Yves
Saadoun, David
Maalouf, Georgina
Vieira, Matheus
Hellio, Alexandra
Boddaert, Jacques
Gros, Hélène
Salem, Joe Elie
Resche Rigon, Matthieu
Menyssa, Cherifa
Biard, Lucie
Benveniste, Olivier
Cacoub, Patrice
author_facet Allenbach, Yves
Saadoun, David
Maalouf, Georgina
Vieira, Matheus
Hellio, Alexandra
Boddaert, Jacques
Gros, Hélène
Salem, Joe Elie
Resche Rigon, Matthieu
Menyssa, Cherifa
Biard, Lucie
Benveniste, Olivier
Cacoub, Patrice
author_sort Allenbach, Yves
collection PubMed
description Prognostic factors of coronavirus disease 2019 (COVID-19) patients among European population are lacking. Our objective was to identify early prognostic factors upon admission to optimize the management of COVID-19 patients hospitalized in a medical ward. This French single-center prospective cohort study evaluated 152 patients with positive severe acute respiratory syndrome coronavirus 2 real-time reverse transcriptase–polymerase chain reaction assay, hospitalized in the Internal Medicine and Clinical Immunology Department, at Pitié-Salpêtrière’s Hospital, in Paris, France, a tertiary care university hospital. Predictive factors of intensive care unit (ICU) transfer or death at day 14 (D14), of being discharge alive and severe status at D14 (remaining with ventilation, or death) were evaluated in multivariable logistic regression models; models’ performances, including discrimination and calibration, were assessed (C-index, calibration curve, R(2), Brier score). A validation was performed on an external sample of 132 patients hospitalized in a French hospital close to Paris, in Aulnay-sous-Bois, Île-de-France. The probability of ICU transfer or death was 32% (47/147) (95% CI 25–40). Older age (OR 2.61, 95% CI 0.96–7.10), poorer respiratory presentation (OR 4.04 per 1-point increment on World Health Organization (WHO) clinical scale, 95% CI 1.76–9.25), higher CRP-level (OR 1.63 per 100mg/L increment, 95% CI 0.98–2.71) and lower lymphocytes count (OR 0.36 per 1000/mm(3) increment, 95% CI 0.13–0.99) were associated with an increased risk of ICU requirement or death. A 9-point ordinal scale scoring system defined low (score 0–2), moderate (score 3–5), and high (score 6–8) risk patients, with predicted respectively 2%, 25% and 81% risk of ICU transfer or death at D14. Therefore, in this prospective cohort study of laboratory-confirmed COVID-19 patients hospitalized in a medical ward in France, a simplified scoring system at admission predicted the outcome at D14.
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spelling pubmed-75716742020-10-26 Development of a multivariate prediction model of intensive care unit transfer or death: A French prospective cohort study of hospitalized COVID-19 patients Allenbach, Yves Saadoun, David Maalouf, Georgina Vieira, Matheus Hellio, Alexandra Boddaert, Jacques Gros, Hélène Salem, Joe Elie Resche Rigon, Matthieu Menyssa, Cherifa Biard, Lucie Benveniste, Olivier Cacoub, Patrice PLoS One Research Article Prognostic factors of coronavirus disease 2019 (COVID-19) patients among European population are lacking. Our objective was to identify early prognostic factors upon admission to optimize the management of COVID-19 patients hospitalized in a medical ward. This French single-center prospective cohort study evaluated 152 patients with positive severe acute respiratory syndrome coronavirus 2 real-time reverse transcriptase–polymerase chain reaction assay, hospitalized in the Internal Medicine and Clinical Immunology Department, at Pitié-Salpêtrière’s Hospital, in Paris, France, a tertiary care university hospital. Predictive factors of intensive care unit (ICU) transfer or death at day 14 (D14), of being discharge alive and severe status at D14 (remaining with ventilation, or death) were evaluated in multivariable logistic regression models; models’ performances, including discrimination and calibration, were assessed (C-index, calibration curve, R(2), Brier score). A validation was performed on an external sample of 132 patients hospitalized in a French hospital close to Paris, in Aulnay-sous-Bois, Île-de-France. The probability of ICU transfer or death was 32% (47/147) (95% CI 25–40). Older age (OR 2.61, 95% CI 0.96–7.10), poorer respiratory presentation (OR 4.04 per 1-point increment on World Health Organization (WHO) clinical scale, 95% CI 1.76–9.25), higher CRP-level (OR 1.63 per 100mg/L increment, 95% CI 0.98–2.71) and lower lymphocytes count (OR 0.36 per 1000/mm(3) increment, 95% CI 0.13–0.99) were associated with an increased risk of ICU requirement or death. A 9-point ordinal scale scoring system defined low (score 0–2), moderate (score 3–5), and high (score 6–8) risk patients, with predicted respectively 2%, 25% and 81% risk of ICU transfer or death at D14. Therefore, in this prospective cohort study of laboratory-confirmed COVID-19 patients hospitalized in a medical ward in France, a simplified scoring system at admission predicted the outcome at D14. Public Library of Science 2020-10-19 /pmc/articles/PMC7571674/ /pubmed/33075088 http://dx.doi.org/10.1371/journal.pone.0240711 Text en © 2020 Allenbach et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Allenbach, Yves
Saadoun, David
Maalouf, Georgina
Vieira, Matheus
Hellio, Alexandra
Boddaert, Jacques
Gros, Hélène
Salem, Joe Elie
Resche Rigon, Matthieu
Menyssa, Cherifa
Biard, Lucie
Benveniste, Olivier
Cacoub, Patrice
Development of a multivariate prediction model of intensive care unit transfer or death: A French prospective cohort study of hospitalized COVID-19 patients
title Development of a multivariate prediction model of intensive care unit transfer or death: A French prospective cohort study of hospitalized COVID-19 patients
title_full Development of a multivariate prediction model of intensive care unit transfer or death: A French prospective cohort study of hospitalized COVID-19 patients
title_fullStr Development of a multivariate prediction model of intensive care unit transfer or death: A French prospective cohort study of hospitalized COVID-19 patients
title_full_unstemmed Development of a multivariate prediction model of intensive care unit transfer or death: A French prospective cohort study of hospitalized COVID-19 patients
title_short Development of a multivariate prediction model of intensive care unit transfer or death: A French prospective cohort study of hospitalized COVID-19 patients
title_sort development of a multivariate prediction model of intensive care unit transfer or death: a french prospective cohort study of hospitalized covid-19 patients
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571674/
https://www.ncbi.nlm.nih.gov/pubmed/33075088
http://dx.doi.org/10.1371/journal.pone.0240711
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