TY  - JOUR
AU  - Martinez-Lacalzada, Miguel
AU  - Viteri-Noel, Adrian
AU  - Manzano, Luis
AU  - Fabregate, Martin
AU  - Rubio-Rivas, Manuel
AU  - Garcia, Sara Luis
AU  - Arnalich-Fernandez, Francisco
AU  - Beato-Perez, Jose Luis
AU  - Vargas-Nunez, Juan Antonio
AU  - Calvo-Manuel, Elpidio
AU  - Espino-Alvarez, Alexia Constanza
AU  - Freire-Castro, Santiago J.
AU  - Loureiro-Amigo, Jose
AU  - Fontan, Paula Maria Pesqueira
AU  - Pina, Adela
AU  - Suarez, Ana Maria Alvarez
AU  - Silva-Asiain, Andrea
AU  - Garcia-Lopez, Beatriz
AU  - del Pino, Jairo Luque
AU  - Sanz-Canovas, Jaime
AU  - Chazarra-Perez, Paloma
AU  - Garcia-Garcia, Gema Maria
AU  - Nunez-Cortes, Jesus Millan
AU  - Casas-Rojo, Jose Manuel
AU  - Gómez-Huelgas, Ricardo
AU  - SEMI-COVID-19 Network
PY  - 2021
DO  - 10.1016/j.cmi.2021.07.006
SN  - 1198-743X
UR  - https://hdl.handle.net/10668/26764
T2  - Clinical microbiology and infection
AB  - Objectives: We aimed to develop and validate a prediction model, based on clinical history and examination findings on initial diagnosis of coronavirus disease 2019 (COVID-19), to identify patients at risk of critical outcomes.Methods: We used data...
LA  - en
PB  - Elsevier sci ltd
KW  - COVID-19
KW  - Critical illness
KW  - Easily obtained clinical variables
KW  - Initial assessment
KW  - Prognostic models
KW  - Pneumonia
KW  - Features
KW  - Children
TI  - Predicting critical illness on initial diagnosis of COVID-19 based on easily obtained clinical variables: development and validation of the PRIORITY model
TY  - research article
VL  - 27
ER  -