Development and validation of a prognostic model based on comorbidities to predict COVID-19 severity: a population-based study | Zendy

Francisco Gudé | Zendy; Carmen Fernández-Merino | Zendy; Lucía Ferreiro | Zendy; Óscar LadoBaleato | Zendy; Jenifer Espasandín-Domínguez | Zendy; Xurxo Hervada | Zendy; Carmén Cadarso-Suárez | Zendy; Luís Valdés | Zendy

Open Access

Development and validation of a prognostic model based on comorbidities to predict COVID-19 severity: a population-based study

Author(s) -

Francisco Gudé,

Carmen Fernández-Merino,

Lucía Ferreiro,

Óscar LadoBaleato,

Jenifer Espasandín-Domínguez,

Xurxo Hervada,

Carmén Cadarso-Suárez,

Luís Valdés

Publication year - 2020

Publication title -

international journal of epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.406

H-Index - 208

eISSN - 1464-3685

pISSN - 0300-5771

DOI - 10.1093/ije/dyaa209

Subject(s) - covid-19 , medicine , population , comorbidity , pandemic , intensive care medicine , environmental health , virology , outbreak , disease , infectious disease (medical specialty)

The prognosis of patients with COVID-19 infection is uncertain. We derived and validated a new risk model for predicting progression to disease severity, hospitalization, admission to intensive care unit (ICU) and mortality in patients with COVID-19 infection (Gal-COVID-19 scores).

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research