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

  1. Martínez-Ruiz, Alberto 123
  2. Jimeno-Rodríguez, Aitor-Ignacio 2
  3. Maroño-Boedo, María-Jesús 3
  4. Guereca-Gala, Ane 3
  5. Olabarrieta, Unai 3
  6. Bergese, Sergio D. 4
  1. 1 Instituto de Investigación Sanitaria Biocruces Bizkaia
    info

    Instituto de Investigación Sanitaria Biocruces Bizkaia

    Barakaldo, España

    ROR https://ror.org/0061s4v88

  2. 2 Universidad del País Vasco/Euskal Herriko Unibertsitatea
    info

    Universidad del País Vasco/Euskal Herriko Unibertsitatea

    Lejona, España

    ROR https://ror.org/000xsnr85

  3. 3 Servicio Vasco de Salud-Osakidetza. Organización Sanitaria Integrada Ezkerraldea-Enkarterri-Cruces. Hospital Universitario Cruces. Servicio de Anestesia, Reanimación y Terapia del Dolor. Barakaldo, España
  4. 4 Universidad de Stony Brook. Departamento de Anestesiología. New York, Estados Unidos
Journal:
Gaceta médica de Bilbao: Revista oficial de la Academia de Ciencias Médicas de Bilbao. Información para profesionales sanitarios

ISSN: 0304-4858 2173-2302

Year of publication: 2022

Volume: 119

Issue: 1

Pages: 12-19

Type: Article

More publications in: Gaceta médica de Bilbao: Revista oficial de la Academia de Ciencias Médicas de Bilbao. Información para profesionales sanitarios

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-2Material 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.

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