WHO Ordinal Scale and Inflammation Risk Categories in COVID-19

Background: The WHO ordinal severity scale has been used to predict mortality and guide trials in COVID-19. However, it has its limitations. Objective The present study aims to compare three classificatory and predictive models: the WHO ordinal severity scale, the model based on inflammation grades,...

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Autores: Rubio-Rivas, Manuel, Mora Luján, José María, Formiga Pérez, Francesc, Arévalo-Cañas, Coral, Lebrón Ramos, Juan Manuel, Villalba García, María Victoria, Fonseca Aizpuru, Eva Maria, Díez Manglano, Jesús, Arnalich Fernández, Francisco, Romero Cabrera, Juan Luis, García García, Gema María, Pesqueira Fontán, Paula María, Vargas Núñez, Juan Antonio, Freire Castro, Santiago Jesús, Loureiro Amigo, José, Pascual Pérez, Maria de los Reyes, Alcalá Pedrajas, José Nicolás, Encinas-Sánchez, Daniel, Mella Pérez, Carmen, Ena, Javier, Gracia Gutiérrez, Anyuli, Esteban Giner, María José, Varona, José F., Millán Núñez-Cortés, Jesús, Casas-Rojo, José Manuel
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2022
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/186772
Acceso en línea:https://hdl.handle.net/2445/186772
Access Level:acceso abierto
Palabra clave:COVID-19
Pronòstic mèdic
Inflamació
Mortalitat
Prognosis
Inflammation
Mortality
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spelling WHO Ordinal Scale and Inflammation Risk Categories in COVID-19Rubio-Rivas, ManuelMora Luján, José MaríaFormiga Pérez, FrancescArévalo-Cañas, CoralLebrón Ramos, Juan ManuelVillalba García, María VictoriaFonseca Aizpuru, Eva MariaDíez Manglano, JesúsArnalich Fernández, FranciscoRomero Cabrera, Juan LuisGarcía García, Gema MaríaPesqueira Fontán, Paula MaríaVargas Núñez, Juan AntonioFreire Castro, Santiago JesúsLoureiro Amigo, JoséPascual Pérez, Maria de los ReyesAlcalá Pedrajas, José NicolásEncinas-Sánchez, DanielMella Pérez, CarmenEna, JavierGracia Gutiérrez, AnyuliEsteban Giner, María JoséVarona, José F.Millán Núñez-Cortés, JesúsCasas-Rojo, José ManuelCOVID-19Pronòstic mèdicInflamacióMortalitatCOVID-19PrognosisInflammationMortalityBackground: The WHO ordinal severity scale has been used to predict mortality and guide trials in COVID-19. However, it has its limitations. Objective The present study aims to compare three classificatory and predictive models: the WHO ordinal severity scale, the model based on inflammation grades, and the hybrid model. Design Retrospective cohort study with patient data collected and followed up from March 1, 2020, to May 1, 2021, from the nationwide SEMI-COVID-19 Registry. The primary study outcome was in-hospital mortality. As this was a hospital-based study, the patients included corresponded to categories 3 to 7 of the WHO ordinal scale. Categories 6 and 7 were grouped in the same category. Key Results A total of 17,225 patients were included in the study. Patients classified as high risk in each of the WHO categories according to the degree of inflammation were as follows: 63.8% vs. 79.9% vs. 90.2% vs. 95.1% (p<0.001). In-hospital mortality for WHO ordinal scale categories 3 to 6/7 was as follows: 0.8% vs. 24.3% vs. 45.3% vs. 34% (p<0.001). In-hospital mortality for the combined categories of ordinal scale 3a to 5b was as follows: 0.4% vs. 1.1% vs. 11.2% vs. 27.5% vs. 35.5% vs. 41.1% (p<0.001). The predictive regression model for in-hospital mortality with our proposed combined ordinal scale reached an AUC=0.871, superior to the two models separately. Conclusions The present study proposes a new severity grading scale for COVID-19 hospitalized patients. In our opinion, it is the most informative, representative, and predictive scale in COVID-19 patients to date.Springer Nature2022info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://hdl.handle.net/2445/186772Articles publicats en revistes (Ciències Clíniques)reponame:Dipòsit Digital de la UBinstname:Universidad de BarcelonaInglésReproducció del document publicat a: https://doi.org/10.1007/s11606-022-07511-7Journal of General Internal Medicine, 2022https://doi.org/10.1007/s11606-022-07511-7cc by-nc-nd (c) Rubio-Rivas, Manuel et al., 2022https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:diposit.ub.edu:2445/1867722026-05-27T06:46:51Z
dc.title.none.fl_str_mv WHO Ordinal Scale and Inflammation Risk Categories in COVID-19
title WHO Ordinal Scale and Inflammation Risk Categories in COVID-19
spellingShingle WHO Ordinal Scale and Inflammation Risk Categories in COVID-19
Rubio-Rivas, Manuel
COVID-19
Pronòstic mèdic
Inflamació
Mortalitat
COVID-19
Prognosis
Inflammation
Mortality
title_short WHO Ordinal Scale and Inflammation Risk Categories in COVID-19
title_full WHO Ordinal Scale and Inflammation Risk Categories in COVID-19
title_fullStr WHO Ordinal Scale and Inflammation Risk Categories in COVID-19
title_full_unstemmed WHO Ordinal Scale and Inflammation Risk Categories in COVID-19
title_sort WHO Ordinal Scale and Inflammation Risk Categories in COVID-19
dc.creator.none.fl_str_mv Rubio-Rivas, Manuel
Mora Luján, José María
Formiga Pérez, Francesc
Arévalo-Cañas, Coral
Lebrón Ramos, Juan Manuel
Villalba García, María Victoria
Fonseca Aizpuru, Eva Maria
Díez Manglano, Jesús
Arnalich Fernández, Francisco
Romero Cabrera, Juan Luis
García García, Gema María
Pesqueira Fontán, Paula María
Vargas Núñez, Juan Antonio
Freire Castro, Santiago Jesús
Loureiro Amigo, José
Pascual Pérez, Maria de los Reyes
Alcalá Pedrajas, José Nicolás
Encinas-Sánchez, Daniel
Mella Pérez, Carmen
Ena, Javier
Gracia Gutiérrez, Anyuli
Esteban Giner, María José
Varona, José F.
Millán Núñez-Cortés, Jesús
Casas-Rojo, José Manuel
author Rubio-Rivas, Manuel
author_facet Rubio-Rivas, Manuel
Mora Luján, José María
Formiga Pérez, Francesc
Arévalo-Cañas, Coral
Lebrón Ramos, Juan Manuel
Villalba García, María Victoria
Fonseca Aizpuru, Eva Maria
Díez Manglano, Jesús
Arnalich Fernández, Francisco
Romero Cabrera, Juan Luis
García García, Gema María
Pesqueira Fontán, Paula María
Vargas Núñez, Juan Antonio
Freire Castro, Santiago Jesús
Loureiro Amigo, José
Pascual Pérez, Maria de los Reyes
Alcalá Pedrajas, José Nicolás
Encinas-Sánchez, Daniel
Mella Pérez, Carmen
Ena, Javier
Gracia Gutiérrez, Anyuli
Esteban Giner, María José
Varona, José F.
Millán Núñez-Cortés, Jesús
Casas-Rojo, José Manuel
author_role author
author2 Mora Luján, José María
Formiga Pérez, Francesc
Arévalo-Cañas, Coral
Lebrón Ramos, Juan Manuel
Villalba García, María Victoria
Fonseca Aizpuru, Eva Maria
Díez Manglano, Jesús
Arnalich Fernández, Francisco
Romero Cabrera, Juan Luis
García García, Gema María
Pesqueira Fontán, Paula María
Vargas Núñez, Juan Antonio
Freire Castro, Santiago Jesús
Loureiro Amigo, José
Pascual Pérez, Maria de los Reyes
Alcalá Pedrajas, José Nicolás
Encinas-Sánchez, Daniel
Mella Pérez, Carmen
Ena, Javier
Gracia Gutiérrez, Anyuli
Esteban Giner, María José
Varona, José F.
Millán Núñez-Cortés, Jesús
Casas-Rojo, José Manuel
author2_role author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv COVID-19
Pronòstic mèdic
Inflamació
Mortalitat
COVID-19
Prognosis
Inflammation
Mortality
topic COVID-19
Pronòstic mèdic
Inflamació
Mortalitat
COVID-19
Prognosis
Inflammation
Mortality
description Background: The WHO ordinal severity scale has been used to predict mortality and guide trials in COVID-19. However, it has its limitations. Objective The present study aims to compare three classificatory and predictive models: the WHO ordinal severity scale, the model based on inflammation grades, and the hybrid model. Design Retrospective cohort study with patient data collected and followed up from March 1, 2020, to May 1, 2021, from the nationwide SEMI-COVID-19 Registry. The primary study outcome was in-hospital mortality. As this was a hospital-based study, the patients included corresponded to categories 3 to 7 of the WHO ordinal scale. Categories 6 and 7 were grouped in the same category. Key Results A total of 17,225 patients were included in the study. Patients classified as high risk in each of the WHO categories according to the degree of inflammation were as follows: 63.8% vs. 79.9% vs. 90.2% vs. 95.1% (p<0.001). In-hospital mortality for WHO ordinal scale categories 3 to 6/7 was as follows: 0.8% vs. 24.3% vs. 45.3% vs. 34% (p<0.001). In-hospital mortality for the combined categories of ordinal scale 3a to 5b was as follows: 0.4% vs. 1.1% vs. 11.2% vs. 27.5% vs. 35.5% vs. 41.1% (p<0.001). The predictive regression model for in-hospital mortality with our proposed combined ordinal scale reached an AUC=0.871, superior to the two models separately. Conclusions The present study proposes a new severity grading scale for COVID-19 hospitalized patients. In our opinion, it is the most informative, representative, and predictive scale in COVID-19 patients to date.
publishDate 2022
dc.date.none.fl_str_mv 2022
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/2445/186772
url https://hdl.handle.net/2445/186772
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a: https://doi.org/10.1007/s11606-022-07511-7
Journal of General Internal Medicine, 2022
https://doi.org/10.1007/s11606-022-07511-7
dc.rights.none.fl_str_mv cc by-nc-nd (c) Rubio-Rivas, Manuel et al., 2022
https://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv cc by-nc-nd (c) Rubio-Rivas, Manuel et al., 2022
https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Springer Nature
publisher.none.fl_str_mv Springer Nature
dc.source.none.fl_str_mv Articles publicats en revistes (Ciències Clíniques)
reponame:Dipòsit Digital de la UB
instname:Universidad de Barcelona
instname_str Universidad de Barcelona
reponame_str Dipòsit Digital de la UB
collection Dipòsit Digital de la UB
repository.name.fl_str_mv
repository.mail.fl_str_mv
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