TY  - GEN 
AU  - Trujillo-Rodriguez, M.
AU  - Muñoz-Muela, E.
AU  - Serna-Gallego, A.
AU  - Praena-Fernández, J.M.
AU  - Pérez-Gómez, A.
AU  - Gasca-Capote, C.
AU  - Vitallé, J.
AU  - Peraire, J.
AU  - Palacios-Baena, Z.R.
AU  - Cabrera Alvargonzalez, Jorge julio
AU  - Ruiz-Mateos, E.
AU  - Poveda López, Eva
AU  - López-Cortés, L.E.
AU  - Rull, A.
AU  - Gutierrez-Valencia, A.
AU  - López-Cortés, L.F.
PY  - 2022
SN  - 1932-6203
UR  - http://hdl.handle.net/20.500.11940/20586
AB  - Background The SARS-CoV-2 pandemic has overwhelmed hospital services due to the rapid transmission of the virus and its severity in a high percentage of cases. Having tools to predict which patients can be safely early discharged would help to improve...
LA  - eng
TI  - Clinical, laboratory data and inflammatory biomarkers at baseline as early discharge predictors in hospitalized SARS-CoV-2 infected patients
DO  - 10.1371/journal.pone.0269875
KW  - AS Vigo
KW  - CHUVI
KW  - IISGS
VL  - 17
ER  -