TY  - GEN
AU  - Torres-Macho, Juan
AU  - Ryan, Pablo
AU  - Valencia, Jorge
AU  - Pérez-Butragueño, Mario
AU  - Jiménez, Eva
AU  - Fontán-Vela, Mario
AU  - Izquierdo-García, Elsa
AU  - Fernandez-Jimenez, Inés
AU  - Álvaro-Alonso, Elena
AU  - Lazaro, Andrea
AU  - Alvarado, Marta
AU  - Notario, Helena
AU  - Resino, Salvador
AU  - Velez-Serrano, Daniel
AU  - Meca, Alejandro
PY  - 2020
DO  - 10.3390/jcm9103066
UR  - http://hdl.handle.net/20.500.12105/11243
AB  - This study aimed to build an easily applicable prognostic model based on routine clinical, radiological, and laboratory data available at admission, to predict mortality in coronavirus 19 disease (COVID-19) hospitalized patients.We retrospectively...
LA  - eng
PB  - Multidisciplinary Digital Publishing Institute (MDPI)
KW  - COVID-19
KW  - SARS-CoV-2
KW  - mortality
KW  - prediction score
TI  - The PANDEMYC Score. An Easily Applicable and Interpretable Model for Predicting Mortality Associated With COVID-19.
TY  - research article
ER  -