RT Journal Article
SR Electronic
T1 Transmembrane protease serine 2 (<em>TMPRSS2</em>) rs75603675, comorbidity, and sex are the primary predictors of COVID-19 severity
JF Life Science Alliance
JO Life Sci. Alliance
FD Life Science Alliance LLC
SP e202201396
DO 10.26508/lsa.202201396
VO 5
IS 10
A1 Villapalos-García, Gonzalo
A1 Zubiaur, Pablo
A1 Rivas-Durán, Rebeca
A1 Campos-Norte, Pilar
A1 Arévalo-Román, Cristina
A1 Fernández-Rico, Marta
A1 García-Fraile Fraile, Lucio
A1 Fernández-Campos, Paula
A1 Soria-Chacartegui, Paula
A1 Fernández de Córdoba-Oñate, Sara
A1 Delgado-Wicke, Pablo
A1 Fernández-Ruiz, Elena
A1 González-Álvaro, Isidoro
A1 Sanz, Jesús
A1 Abad-Santos, Francisco
A1 de los Santos, Ignacio
YR 2022
UL https://www.life-science-alliance.org/content/5/10/e202201396.abstract
AB By the end of December 2021, coronavirus disease 2019 (COVID-19) produced more than 271 million cases and 5.3 million deaths. Although vaccination is an effective strategy for pandemic control, it is not yet equally available in all countries. Therefore, identification of prognostic biomarkers remains crucial to manage COVID-19 patients. The aim of this study was to evaluate predictors of COVID-19 severity previously proposed. Clinical and demographic characteristics and 120 single-nucleotide polymorphisms were analyzed from 817 patients with COVID-19, who attended the emergency department of the Hospital Universitario de La Princesa during March and April 2020. The main outcome was a modified version of the 7-point World Health Organization (WHO) COVID-19 severity scale (WHOCS); both in the moment of the first hospital examination (WHOCS-1) and of the severest WHOCS score (WHOCS-2). The TMPRSS2 rs75603675 genotype (OR = 2.140), dyslipidemia (OR = 2.289), sex (OR = 0.586), and the Charlson Comorbidity Index (OR = 1.126) were identified as the main predictors of disease severity. Consequently, these variables might influence COVID-19 severity and could be used as predictors of disease development.