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Identification of COVID-19 patients at risk of hospital admission and mortality: a European multicentre retrospective analysis of mid-regional pro-adrenomedullin

BACKGROUND: Mid-Regional pro-Adrenomedullin (MR-proADM) is an inflammatory biomarker that improves the prognostic assessment of patients with sepsis, septic shock and organ failure. Previous studies of MR-proADM have primarily focussed on bacterial infections. A limited number of small and monocentr...

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Autores principales: Sozio, Emanuela, Moore, Nathan A., Fabris, Martina, Ripoli, Andrea, Rumbolo, Francesca, Minieri, Marilena, Boverio, Riccardo, Rodríguez Mulero, María Dolores, Lainez-Martinez, Sara, Martínez Martínez, Mónica, Calvo, Dolores, Gregoriano, Claudia, Williams, Rebecca, Brazzi, Luca, Terrinoni, Alessandro, Callegari, Tiziana, Hernández Olivo, Marta, Esteban-Torrella, Patricia, Calcerrada, Ismael, Bernasconi, Luca, Kidd, Stephen P., Sbrana, Francesco, Miguens, Iria, Gordon, Kirsty, Visentini, Daniela, Legramante, Jacopo M., Bassi, Flavio, Cortes, Nicholas, Montrucchio, Giorgia, Di Lecce, Vito N., Lauritano, Ernesto C., García de Guadiana-Romualdo, Luis, González del Castillo, Juan, Bernal-Morell, Enrique, Andaluz-Ojeda, David, Schuetz, Philipp, Curcio, Francesco, Tascini, Carlo, Saeed, Kordo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420187/
https://www.ncbi.nlm.nih.gov/pubmed/36031619
http://dx.doi.org/10.1186/s12931-022-02151-1
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author Sozio, Emanuela
Moore, Nathan A.
Fabris, Martina
Ripoli, Andrea
Rumbolo, Francesca
Minieri, Marilena
Boverio, Riccardo
Rodríguez Mulero, María Dolores
Lainez-Martinez, Sara
Martínez Martínez, Mónica
Calvo, Dolores
Gregoriano, Claudia
Williams, Rebecca
Brazzi, Luca
Terrinoni, Alessandro
Callegari, Tiziana
Hernández Olivo, Marta
Esteban-Torrella, Patricia
Calcerrada, Ismael
Bernasconi, Luca
Kidd, Stephen P.
Sbrana, Francesco
Miguens, Iria
Gordon, Kirsty
Visentini, Daniela
Legramante, Jacopo M.
Bassi, Flavio
Cortes, Nicholas
Montrucchio, Giorgia
Di Lecce, Vito N.
Lauritano, Ernesto C.
García de Guadiana-Romualdo, Luis
González del Castillo, Juan
Bernal-Morell, Enrique
Andaluz-Ojeda, David
Schuetz, Philipp
Curcio, Francesco
Tascini, Carlo
Saeed, Kordo
author_facet Sozio, Emanuela
Moore, Nathan A.
Fabris, Martina
Ripoli, Andrea
Rumbolo, Francesca
Minieri, Marilena
Boverio, Riccardo
Rodríguez Mulero, María Dolores
Lainez-Martinez, Sara
Martínez Martínez, Mónica
Calvo, Dolores
Gregoriano, Claudia
Williams, Rebecca
Brazzi, Luca
Terrinoni, Alessandro
Callegari, Tiziana
Hernández Olivo, Marta
Esteban-Torrella, Patricia
Calcerrada, Ismael
Bernasconi, Luca
Kidd, Stephen P.
Sbrana, Francesco
Miguens, Iria
Gordon, Kirsty
Visentini, Daniela
Legramante, Jacopo M.
Bassi, Flavio
Cortes, Nicholas
Montrucchio, Giorgia
Di Lecce, Vito N.
Lauritano, Ernesto C.
García de Guadiana-Romualdo, Luis
González del Castillo, Juan
Bernal-Morell, Enrique
Andaluz-Ojeda, David
Schuetz, Philipp
Curcio, Francesco
Tascini, Carlo
Saeed, Kordo
author_sort Sozio, Emanuela
collection PubMed
description BACKGROUND: Mid-Regional pro-Adrenomedullin (MR-proADM) is an inflammatory biomarker that improves the prognostic assessment of patients with sepsis, septic shock and organ failure. Previous studies of MR-proADM have primarily focussed on bacterial infections. A limited number of small and monocentric studies have examined MR-proADM as a prognostic factor in patients infected with SARS-CoV-2, however there is need for multicenter validation. An evaluation of its utility in predicting need for hospitalisation in viral infections was also performed. METHODS: An observational retrospective analysis of 1861 patients, with SARS-CoV-2 confirmed by RT-qPCR, from 10 hospitals across Europe was performed. Biomarkers, taken upon presentation to Emergency Departments (ED), clinical scores, patient demographics and outcomes were collected. Multiclass random forest classifier models were generated as well as calculation of area under the curve analysis. The primary endpoint was hospital admission with and without death. RESULTS: Patients suitable for safe discharge from Emergency Departments could be identified through an MR-proADM value of ≤ 1.02 nmol/L in combination with a CRP (C-Reactive Protein) of ≤ 20.2 mg/L and age ≤ 64, or in combination with a SOFA (Sequential Organ Failure Assessment) score < 2 if MR-proADM was ≤ 0.83 nmol/L regardless of age. Those at an increased risk of mortality could be identified upon presentation to secondary care with an MR-proADM value of > 0.85 nmol/L, in combination with a SOFA score ≥ 2 and LDH > 720 U/L, or in combination with a CRP > 29.26 mg/L and age ≤ 64, when MR-proADM was > 1.02 nmol/L. CONCLUSIONS: This international study suggests that for patients presenting to the ED with confirmed SARS-CoV-2 infection, MR-proADM in combination with age and CRP or with the patient’s SOFA score could identify patients at low risk where outpatient treatment may be safe.
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spelling pubmed-94201872022-08-29 Identification of COVID-19 patients at risk of hospital admission and mortality: a European multicentre retrospective analysis of mid-regional pro-adrenomedullin Sozio, Emanuela Moore, Nathan A. Fabris, Martina Ripoli, Andrea Rumbolo, Francesca Minieri, Marilena Boverio, Riccardo Rodríguez Mulero, María Dolores Lainez-Martinez, Sara Martínez Martínez, Mónica Calvo, Dolores Gregoriano, Claudia Williams, Rebecca Brazzi, Luca Terrinoni, Alessandro Callegari, Tiziana Hernández Olivo, Marta Esteban-Torrella, Patricia Calcerrada, Ismael Bernasconi, Luca Kidd, Stephen P. Sbrana, Francesco Miguens, Iria Gordon, Kirsty Visentini, Daniela Legramante, Jacopo M. Bassi, Flavio Cortes, Nicholas Montrucchio, Giorgia Di Lecce, Vito N. Lauritano, Ernesto C. García de Guadiana-Romualdo, Luis González del Castillo, Juan Bernal-Morell, Enrique Andaluz-Ojeda, David Schuetz, Philipp Curcio, Francesco Tascini, Carlo Saeed, Kordo Respir Res Research BACKGROUND: Mid-Regional pro-Adrenomedullin (MR-proADM) is an inflammatory biomarker that improves the prognostic assessment of patients with sepsis, septic shock and organ failure. Previous studies of MR-proADM have primarily focussed on bacterial infections. A limited number of small and monocentric studies have examined MR-proADM as a prognostic factor in patients infected with SARS-CoV-2, however there is need for multicenter validation. An evaluation of its utility in predicting need for hospitalisation in viral infections was also performed. METHODS: An observational retrospective analysis of 1861 patients, with SARS-CoV-2 confirmed by RT-qPCR, from 10 hospitals across Europe was performed. Biomarkers, taken upon presentation to Emergency Departments (ED), clinical scores, patient demographics and outcomes were collected. Multiclass random forest classifier models were generated as well as calculation of area under the curve analysis. The primary endpoint was hospital admission with and without death. RESULTS: Patients suitable for safe discharge from Emergency Departments could be identified through an MR-proADM value of ≤ 1.02 nmol/L in combination with a CRP (C-Reactive Protein) of ≤ 20.2 mg/L and age ≤ 64, or in combination with a SOFA (Sequential Organ Failure Assessment) score < 2 if MR-proADM was ≤ 0.83 nmol/L regardless of age. Those at an increased risk of mortality could be identified upon presentation to secondary care with an MR-proADM value of > 0.85 nmol/L, in combination with a SOFA score ≥ 2 and LDH > 720 U/L, or in combination with a CRP > 29.26 mg/L and age ≤ 64, when MR-proADM was > 1.02 nmol/L. CONCLUSIONS: This international study suggests that for patients presenting to the ED with confirmed SARS-CoV-2 infection, MR-proADM in combination with age and CRP or with the patient’s SOFA score could identify patients at low risk where outpatient treatment may be safe. BioMed Central 2022-08-28 2022 /pmc/articles/PMC9420187/ /pubmed/36031619 http://dx.doi.org/10.1186/s12931-022-02151-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . 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 in a credit line to the data.
spellingShingle Research
Sozio, Emanuela
Moore, Nathan A.
Fabris, Martina
Ripoli, Andrea
Rumbolo, Francesca
Minieri, Marilena
Boverio, Riccardo
Rodríguez Mulero, María Dolores
Lainez-Martinez, Sara
Martínez Martínez, Mónica
Calvo, Dolores
Gregoriano, Claudia
Williams, Rebecca
Brazzi, Luca
Terrinoni, Alessandro
Callegari, Tiziana
Hernández Olivo, Marta
Esteban-Torrella, Patricia
Calcerrada, Ismael
Bernasconi, Luca
Kidd, Stephen P.
Sbrana, Francesco
Miguens, Iria
Gordon, Kirsty
Visentini, Daniela
Legramante, Jacopo M.
Bassi, Flavio
Cortes, Nicholas
Montrucchio, Giorgia
Di Lecce, Vito N.
Lauritano, Ernesto C.
García de Guadiana-Romualdo, Luis
González del Castillo, Juan
Bernal-Morell, Enrique
Andaluz-Ojeda, David
Schuetz, Philipp
Curcio, Francesco
Tascini, Carlo
Saeed, Kordo
Identification of COVID-19 patients at risk of hospital admission and mortality: a European multicentre retrospective analysis of mid-regional pro-adrenomedullin
title Identification of COVID-19 patients at risk of hospital admission and mortality: a European multicentre retrospective analysis of mid-regional pro-adrenomedullin
title_full Identification of COVID-19 patients at risk of hospital admission and mortality: a European multicentre retrospective analysis of mid-regional pro-adrenomedullin
title_fullStr Identification of COVID-19 patients at risk of hospital admission and mortality: a European multicentre retrospective analysis of mid-regional pro-adrenomedullin
title_full_unstemmed Identification of COVID-19 patients at risk of hospital admission and mortality: a European multicentre retrospective analysis of mid-regional pro-adrenomedullin
title_short Identification of COVID-19 patients at risk of hospital admission and mortality: a European multicentre retrospective analysis of mid-regional pro-adrenomedullin
title_sort identification of covid-19 patients at risk of hospital admission and mortality: a european multicentre retrospective analysis of mid-regional pro-adrenomedullin
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9420187/
https://www.ncbi.nlm.nih.gov/pubmed/36031619
http://dx.doi.org/10.1186/s12931-022-02151-1
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