Validación del modelo de predicción de mortalidad ISARIC 4C para SARS-CoV-2 en Hospital Universitario Cruces

Martínez Ruiz Alberto; Jimeno Rodríguez Aitor-Ignacio; Maroño Boedo María-Jesús; Guereca Gala Ane; Olabarrieta Unai; Bergese D. Sergio

Validación del modelo de predicción de mortalidad ISARIC 4C para SARS-CoV-2 en Hospital Universitario Cruces

Translated title of the contribution: Validation of the ISARIC 4C mortality prediction model for SARS-CoV-2 at Cruces University Hospital

Martínez Ruiz Alberto
, Jimeno Rodríguez Aitor-Ignacio
, Maroño Boedo María-Jesús
, Guereca Gala Ane
, Olabarrieta Unai
, Bergese D. Sergio

Anesthesiology

Hospital de Cruces
University of the Basque Country
Hospital Universitario Cruces

Research output: Contribution to journal › Article › peer-review

Abstract

Objective: To validate a mortality prediction model called ISARIC 4C in a sample of patients of patients admitted to the Hospital de Cruces between March 12, 2020 and May 16, 2020 with the diagnosis of pneumonia due to SARS-CoV-2 Material and method: Cohort study, observational and single-center, which included patients admitted to hospital with suspected COVID-19 pneumonia. Data of the patients at admission: age, gender, existence and number have been analyzed. of comorbidities, in addition to analytical data such as respiratory rate, oxygen saturation, Glasgow scale, urea level and C-reactive protein level. Results: The ISARIC 4C model is not valid to the sample of our patients. Conclusions: Given the magnitude of the COVID-19 pandemic, more studies are needed to validate a mortality prediction model applicable to the entire population.

Translated title of the contribution	Validation of the ISARIC 4C mortality prediction model for SARS-CoV-2 at Cruces University Hospital
Original language	Spanish
Pages (from-to)	12-19
Number of pages	8
Journal	Gaceta Medica de Bilbao
Volume	119
Issue number	1
State	Published - 2022

Keywords

COVID-19
Cruces Model
Pandemic

Cite this

@article{b28c562ec3044096afb5ba0ad791c765,

title = "Validaci{\'o}n del modelo de predicci{\'o}n de mortalidad ISARIC 4C para SARS-CoV-2 en Hospital Universitario Cruces",

abstract = "Objective: To validate a mortality prediction model called ISARIC 4C in a sample of patients of patients admitted to the Hospital de Cruces between March 12, 2020 and May 16, 2020 with the diagnosis of pneumonia due to SARS-CoV-2 Material and method: Cohort study, observational and single-center, which included patients admitted to hospital with suspected COVID-19 pneumonia. Data of the patients at admission: age, gender, existence and number have been analyzed. of comorbidities, in addition to analytical data such as respiratory rate, oxygen saturation, Glasgow scale, urea level and C-reactive protein level. Results: The ISARIC 4C model is not valid to the sample of our patients. Conclusions: Given the magnitude of the COVID-19 pandemic, more studies are needed to validate a mortality prediction model applicable to the entire population.",

keywords = "COVID-19, Cruces Model, Pandemic",

author = "Alberto, \{Mart{\'i}nez Ruiz\} and Aitor-Ignacio, \{Jimeno Rodr{\'i}guez\} and Mar{\'i}a-Jes{\'u}s, \{Maro{\~n}o Boedo\} and Ane, \{Guereca Gala\} and Olabarrieta Unai and Sergio, \{Bergese D.\}",

year = "2022",

language = "Spanish",

volume = "119",

pages = "12--19",

journal = "Gaceta Medica de Bilbao",

issn = "0304-4858",

number = "1",

}

TY - JOUR

T1 - Validación del modelo de predicción de mortalidad ISARIC 4C para SARS-CoV-2 en Hospital Universitario Cruces

AU - Alberto, Martínez Ruiz

AU - Aitor-Ignacio, Jimeno Rodríguez

AU - María-Jesús, Maroño Boedo

AU - Ane, Guereca Gala

AU - Unai, Olabarrieta

AU - Sergio, Bergese D.

PY - 2022

Y1 - 2022

N2 - Objective: To validate a mortality prediction model called ISARIC 4C in a sample of patients of patients admitted to the Hospital de Cruces between March 12, 2020 and May 16, 2020 with the diagnosis of pneumonia due to SARS-CoV-2 Material and method: Cohort study, observational and single-center, which included patients admitted to hospital with suspected COVID-19 pneumonia. Data of the patients at admission: age, gender, existence and number have been analyzed. of comorbidities, in addition to analytical data such as respiratory rate, oxygen saturation, Glasgow scale, urea level and C-reactive protein level. Results: The ISARIC 4C model is not valid to the sample of our patients. Conclusions: Given the magnitude of the COVID-19 pandemic, more studies are needed to validate a mortality prediction model applicable to the entire population.

AB - Objective: To validate a mortality prediction model called ISARIC 4C in a sample of patients of patients admitted to the Hospital de Cruces between March 12, 2020 and May 16, 2020 with the diagnosis of pneumonia due to SARS-CoV-2 Material and method: Cohort study, observational and single-center, which included patients admitted to hospital with suspected COVID-19 pneumonia. Data of the patients at admission: age, gender, existence and number have been analyzed. of comorbidities, in addition to analytical data such as respiratory rate, oxygen saturation, Glasgow scale, urea level and C-reactive protein level. Results: The ISARIC 4C model is not valid to the sample of our patients. Conclusions: Given the magnitude of the COVID-19 pandemic, more studies are needed to validate a mortality prediction model applicable to the entire population.

KW - COVID-19

KW - Cruces Model

KW - Pandemic

UR - https://www.scopus.com/pages/publications/85130621028

M3 - Article

AN - SCOPUS:85130621028

SN - 0304-4858

VL - 119

SP - 12

EP - 19

JO - Gaceta Medica de Bilbao

JF - Gaceta Medica de Bilbao

IS - 1

ER -

Validación del modelo de predicción de mortalidad ISARIC 4C para SARS-CoV-2 en Hospital Universitario Cruces

Abstract

Keywords

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