Repositorio Institucional de la Universidad Alfonso X el Sabio

A Predictive Model and Risk Factors for Case Fatality of COVID-19

Mostrar el registro sencillo del ítem

APA

Álvarez Mon, Melchor & Ortega, Miguel A & Gasulla, Óscar & Fortuny Profitós, Jordi & Mazaira Font, Ferran A. & Saurina, Pablo & Monserrat Sanz, Jorge & Plana, María N. & Troncoso, Daniel & Sanz Moreno, José & Muñoz, Benjamin & Arranz, Alberto & Varona, José F. & López Escobar, Alejandro & Asúnsolo del Barco, Ángel .A Predictive Model and Risk Factors for Case Fatality of COVID-19.

ISO 690

Álvarez Mon, Melchor & Ortega, Miguel A & Gasulla, Óscar & Fortuny Profitós, Jordi & Mazaira Font, Ferran A. & Saurina, Pablo & Monserrat Sanz, Jorge & Plana, María N. & Troncoso, Daniel & Sanz Moreno, José & Muñoz, Benjamin & Arranz, Alberto & Varona, José F. & López Escobar, Alejandro & Asúnsolo del Barco, Ángel. A Predictive Model and Risk Factors for Case Fatality of COVID-19.

https://hdl.handle.net/20.500.12080/44657
dc.contributor.author Álvarez Mon, Melchor
dc.contributor.author Ortega, Miguel A
dc.contributor.author Gasulla, Óscar
dc.contributor.author Fortuny Profitós, Jordi
dc.contributor.author Mazaira Font, Ferran A.
dc.contributor.author Saurina, Pablo
dc.contributor.author Monserrat Sanz, Jorge
dc.contributor.author Plana, María N.
dc.contributor.author Troncoso, Daniel
dc.contributor.author Sanz Moreno, José
dc.contributor.author Muñoz, Benjamin
dc.contributor.author Arranz, Alberto
dc.contributor.author Varona, José F.
dc.contributor.author López Escobar, Alejandro
dc.contributor.author Asúnsolo del Barco, Ángel
dc.date.accessioned 2024-10-21T14:30:54Z
dc.date.available 2024-10-21T14:30:54Z
dc.date.created 2021
dc.identifier.uri https://hdl.handle.net/20.500.12080/44657
dc.description.abstract This study aimed to create an individualized analysis model of the risk of intensive care unit (ICU) admission or death for coronavirus disease 2019 (COVID-19) patients as a tool for the rapid clinical management of hospitalized patients in order to achieve a resilience of medical resources. This is an observational, analytical, retrospective cohort study with longitudinal follow-up. Data were collected from the medical records of 3489 patients diagnosed with COVID-19 using RT-qPCR in the period of highest community transmission recorded in Europe to date: February¿June 2020. The study was carried out in in two health areas of hospital care in the Madrid region: the central area of the Madrid capital (Hospitales de Madrid del Grupo HM Hospitales (CH-HM), n = 1931) and the metropolitan area of Madrid (Hospital Universitario Príncipe de Asturias (MH-HUPA) n = 1558). By using a regression model, we observed how the different patient variables had unequal importance. Among all the analyzed variables, basal oxygen saturation was found to have the highest relative importance with a value of 20.3%, followed by age (17.7%), lymphocyte/leukocyte ratio (14.4%), CRP value (12.5%), comorbidities (12.5%), and leukocyte count (8.9%). Three levels of risk of ICU/death were established: low-risk level (<5%), medium-risk level (5¿20%), and high-risk level (>20%). At the high-risk level, 13% needed ICU admission, 29% died, and 37% had an ICU¿death outcome. This predictive model allowed us to individualize the risk for worse outcome for hospitalized patients affected by COVID-19. Keywords: COVID-19; C-reactive protein; oxygen saturation; ICU; death; predictive model es_ES
dc.format application/pdf es_ES
dc.language eng es_ES
dc.rights CC-BY es_ES
dc.rights.uri http://creativecommons.org/licenses/by/4.0/deed.es es_ES
dc.source Journal of Personalized Medicine es_ES
dc.subject COVID-19; C-reactive protein; oxygen saturation; ICU; death; predictive model es_ES
dc.title A Predictive Model and Risk Factors for Case Fatality of COVID-19 es_ES
dc.type info:eu-repo/semantics/article es_ES
dc.rights.accessrights info:eu-repo/semantics/openAccess es_ES
dc.identifier.location N/A es_ES


Ficheros en el ítem

Este ítem aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del ítem

CC-BY Excepto si se señala otra cosa, la licencia del ítem se describe como CC-BY

Buscar en DSpace


Listar

Mi cuenta

Social Media