Risk Score for Predicting In-Hospital Mortality in COVID-19 (RIM Score)

Infection by SARS-CoV2 has devastating consequences on health care systems. It is a global health priority to identify patients at risk of fatal outcomes. 1955 patients admitted to HM-Hospitales from 1 March to 10 June 2020 due to COVID-19, were were divided into two groups, 1310 belonged to the tra...

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Authors: López Escobar, Alejandro, Madurga, Rodrigo, Castellano, José María, Velázquez, Sara, Suárez del Villar, Rafael, Menéndez, Justo, Peixoto, Alejandro, Jimeno, Sara, Ventura Wichner, Paula Sol, Ruiz de Aguiar, Santiago
Format: article
Publication Date:2021
Country:España
Institution:Universidad Alfonso X el Sabio
Repository:Repositorio Institucional de la Universidad Alfonso X el Sabio
Language:English
OAI Identifier:oai:archive.uax.com:20.500.12080/44594
Online Access:https://hdl.handle.net/20.500.12080/44594
Access Level:Open access
Keyword:COVID-19
neutrophil-to-platelet ratio
NPR
neutrophil-to-lymphocyte ratio
NLR
hemogram-derived-ratios
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spelling Risk Score for Predicting In-Hospital Mortality in COVID-19 (RIM Score)López Escobar, AlejandroMadurga, RodrigoCastellano, José MaríaVelázquez, SaraSuárez del Villar, RafaelMenéndez, JustoPeixoto, AlejandroJimeno, SaraVentura Wichner, Paula SolRuiz de Aguiar, SantiagoCOVID-19neutrophil-to-platelet ratioNPRneutrophil-to-lymphocyte ratioNLRhemogram-derived-ratiosInfection by SARS-CoV2 has devastating consequences on health care systems. It is a global health priority to identify patients at risk of fatal outcomes. 1955 patients admitted to HM-Hospitales from 1 March to 10 June 2020 due to COVID-19, were were divided into two groups, 1310 belonged to the training cohort and 645 to validation cohort. Four different models were generated to predict in-hospital mortality. Following variables were included: age, sex, oxygen saturation, level of C-reactive-protein, neutrophil-to-platelet-ratio (NPR), neutrophil-to-lymphocyte-ratio (NLR) and the rate of changes of both hemogram ratios (VNLR and VNPR) during the first week after admission. The accuracy of the models in predicting in-hospital mortality were evaluated using the area under the receiver-operator-characteristic curve (AUC). AUC for models including NLR and NPR performed similarly in both cohorts: NLR 0.873 (95% CI: 0.849¿0.898), NPR 0.875 (95% CI: 0.851¿0.899) in training cohort and NLR 0.856 (95% CI: 0.818¿0.895), NPR 0.863 (95% CI: 0.826¿0.901) in validation cohort. AUC was 0.885 (95% CI: 0.885¿0.919) for VNLR and 0.891 (95% CI: 0.861¿0.922) for VNPR in the validation cohort. According to our results, models are useful in predicting in-hospital mortality risk due to COVID-19. The RIM Score proposed is a simple, widely available tool that can help identify patients at risk of fatal outcomes. Keywords: COVID-19; neutrophil-to-platelet ratio; NPR; neutrophil-to-lymphocyte ratio; NLR; hemogram-derived-ratiosUAX Archive20212021-01-0120212021-01-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.12080/44594reponame:Repositorio Institucional de la Universidad Alfonso X el Sabioinstname:Universidad Alfonso X el SabioInglésengopen accesshttp://purl.org/coar/access_right/c_abf2CC-BYhttp://creativecommons.org/licenses/by/4.0/deed.esinfo:eu-repo/semantics/openAccessoai:archive.uax.com:20.500.12080/445942026-05-28T12:40:21Z
dc.title.none.fl_str_mv Risk Score for Predicting In-Hospital Mortality in COVID-19 (RIM Score)
title Risk Score for Predicting In-Hospital Mortality in COVID-19 (RIM Score)
spellingShingle Risk Score for Predicting In-Hospital Mortality in COVID-19 (RIM Score)
López Escobar, Alejandro
COVID-19
neutrophil-to-platelet ratio
NPR
neutrophil-to-lymphocyte ratio
NLR
hemogram-derived-ratios
title_short Risk Score for Predicting In-Hospital Mortality in COVID-19 (RIM Score)
title_full Risk Score for Predicting In-Hospital Mortality in COVID-19 (RIM Score)
title_fullStr Risk Score for Predicting In-Hospital Mortality in COVID-19 (RIM Score)
title_full_unstemmed Risk Score for Predicting In-Hospital Mortality in COVID-19 (RIM Score)
title_sort Risk Score for Predicting In-Hospital Mortality in COVID-19 (RIM Score)
dc.creator.none.fl_str_mv López Escobar, Alejandro
Madurga, Rodrigo
Castellano, José María
Velázquez, Sara
Suárez del Villar, Rafael
Menéndez, Justo
Peixoto, Alejandro
Jimeno, Sara
Ventura Wichner, Paula Sol
Ruiz de Aguiar, Santiago
author López Escobar, Alejandro
author_facet López Escobar, Alejandro
Madurga, Rodrigo
Castellano, José María
Velázquez, Sara
Suárez del Villar, Rafael
Menéndez, Justo
Peixoto, Alejandro
Jimeno, Sara
Ventura Wichner, Paula Sol
Ruiz de Aguiar, Santiago
author_role author
author2 Madurga, Rodrigo
Castellano, José María
Velázquez, Sara
Suárez del Villar, Rafael
Menéndez, Justo
Peixoto, Alejandro
Jimeno, Sara
Ventura Wichner, Paula Sol
Ruiz de Aguiar, Santiago
author2_role author
author
author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv UAX Archive
dc.subject.none.fl_str_mv COVID-19
neutrophil-to-platelet ratio
NPR
neutrophil-to-lymphocyte ratio
NLR
hemogram-derived-ratios
topic COVID-19
neutrophil-to-platelet ratio
NPR
neutrophil-to-lymphocyte ratio
NLR
hemogram-derived-ratios
description Infection by SARS-CoV2 has devastating consequences on health care systems. It is a global health priority to identify patients at risk of fatal outcomes. 1955 patients admitted to HM-Hospitales from 1 March to 10 June 2020 due to COVID-19, were were divided into two groups, 1310 belonged to the training cohort and 645 to validation cohort. Four different models were generated to predict in-hospital mortality. Following variables were included: age, sex, oxygen saturation, level of C-reactive-protein, neutrophil-to-platelet-ratio (NPR), neutrophil-to-lymphocyte-ratio (NLR) and the rate of changes of both hemogram ratios (VNLR and VNPR) during the first week after admission. The accuracy of the models in predicting in-hospital mortality were evaluated using the area under the receiver-operator-characteristic curve (AUC). AUC for models including NLR and NPR performed similarly in both cohorts: NLR 0.873 (95% CI: 0.849¿0.898), NPR 0.875 (95% CI: 0.851¿0.899) in training cohort and NLR 0.856 (95% CI: 0.818¿0.895), NPR 0.863 (95% CI: 0.826¿0.901) in validation cohort. AUC was 0.885 (95% CI: 0.885¿0.919) for VNLR and 0.891 (95% CI: 0.861¿0.922) for VNPR in the validation cohort. According to our results, models are useful in predicting in-hospital mortality risk due to COVID-19. The RIM Score proposed is a simple, widely available tool that can help identify patients at risk of fatal outcomes. Keywords: COVID-19; neutrophil-to-platelet ratio; NPR; neutrophil-to-lymphocyte ratio; NLR; hemogram-derived-ratios
publishDate 2021
dc.date.none.fl_str_mv 2021
2021-01-01
2021
2021-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.12080/44594
url https://hdl.handle.net/20.500.12080/44594
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
CC-BY
http://creativecommons.org/licenses/by/4.0/deed.es
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
CC-BY
http://creativecommons.org/licenses/by/4.0/deed.es
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositorio Institucional de la Universidad Alfonso X el Sabio
instname:Universidad Alfonso X el Sabio
instname_str Universidad Alfonso X el Sabio
reponame_str Repositorio Institucional de la Universidad Alfonso X el Sabio
collection Repositorio Institucional de la Universidad Alfonso X el Sabio
repository.name.fl_str_mv
repository.mail.fl_str_mv
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