Viruses
(Aug 2022)
Assessing the Impact of SARS-CoV-2 Lineages and Mutations on Patient Survival
Carlos Loucera,
Javier Perez-Florido,
Carlos S. Casimiro-Soriguer,
Francisco M. Ortuño,
Rosario Carmona,
Gerrit Bostelmann,
L. Javier Martínez-González,
Dolores Muñoyerro-Muñiz,
Román Villegas,
Jesus Rodriguez-Baño,
Manuel Romero-Gomez,
Nicola Lorusso,
Javier Garcia-León,
Jose M. Navarro-Marí,
Pedro Camacho-Martinez,
Laura Merino-Diaz,
Adolfo de Salazar,
Laura Viñuela,
The Andalusian COVID-19 Sequencing Initiative,
Jose A. Lepe,
Federico Garcia,
Joaquin Dopazo
Affiliations
Carlos Loucera
Bioinformatics Area, Andalusian Public Foundation Progress and Health-FPS, 41013 Sevilla, Spain
Javier Perez-Florido
Bioinformatics Area, Andalusian Public Foundation Progress and Health-FPS, 41013 Sevilla, Spain
Carlos S. Casimiro-Soriguer
Bioinformatics Area, Andalusian Public Foundation Progress and Health-FPS, 41013 Sevilla, Spain
Francisco M. Ortuño
Bioinformatics Area, Andalusian Public Foundation Progress and Health-FPS, 41013 Sevilla, Spain
Rosario Carmona
Bioinformatics Area, Andalusian Public Foundation Progress and Health-FPS, 41013 Sevilla, Spain
Gerrit Bostelmann
Bioinformatics Area, Andalusian Public Foundation Progress and Health-FPS, 41013 Sevilla, Spain
L. Javier Martínez-González
GENYO, Centre for Genomics and Oncological Research, Pfizer/University of Granada/Andalusian Regional Government, PTS Granada, 18016 Granada, Spain
Dolores Muñoyerro-Muñiz
Subdirección Técnica Asesora de Gestión de la Información, Servicio Andaluz de Salud, 41001 Sevilla, Spain
Román Villegas
Subdirección Técnica Asesora de Gestión de la Información, Servicio Andaluz de Salud, 41001 Sevilla, Spain
Jesus Rodriguez-Baño
Institute of Biomedicine of Seville, IBiS, University Hospital Virgen del Rocío/CSIC/University of Seville, 41013 Sevilla, Spain
Manuel Romero-Gomez
Institute of Biomedicine of Seville, IBiS, University Hospital Virgen del Rocío/CSIC/University of Seville, 41013 Sevilla, Spain
Nicola Lorusso
Dirección General de Salud Pública, Consejería de Salud y Familias, Junta de Andalucía, 41020 Sevilla, Spain
Javier Garcia-León
Departamento de Metafísica y Corrientes Actuales de la Filosofía, Ética y Filosofía Política, Universidad de Sevilla, 41004 Sevilla, Spain
Jose M. Navarro-Marí
Servicio de Microbiología, Hospital Virgen de las Nieves, 18014 Granada, Spain
Pedro Camacho-Martinez
Servicio de Microbiología, Unidad Clínica Enfermedades Infecciosas, Microbiología y Medicina Preventiva, Hospital Universitario Virgen del Rocío, 41013 Sevilla, Spain
Laura Merino-Diaz
Servicio de Microbiología, Unidad Clínica Enfermedades Infecciosas, Microbiología y Medicina Preventiva, Hospital Universitario Virgen del Rocío, 41013 Sevilla, Spain
Adolfo de Salazar
Centro de Investigación Biomédica en Red en Enfermedades Infecciosas (CIBERINFEC), ISCIII, 28029 Madrid, Spain
Laura Viñuela
Centro de Investigación Biomédica en Red en Enfermedades Infecciosas (CIBERINFEC), ISCIII, 28029 Madrid, Spain
The Andalusian COVID-19 Sequencing Initiative
Jose A. Lepe
Institute of Biomedicine of Seville, IBiS, University Hospital Virgen del Rocío/CSIC/University of Seville, 41013 Sevilla, Spain
Federico Garcia
Centro de Investigación Biomédica en Red en Enfermedades Infecciosas (CIBERINFEC), ISCIII, 28029 Madrid, Spain
Joaquin Dopazo
Bioinformatics Area, Andalusian Public Foundation Progress and Health-FPS, 41013 Sevilla, Spain
DOI
https://doi.org/10.3390/v14091893
Journal volume & issue
Vol. 14,
no. 9
p.
1893
Abstract
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Objectives: More than two years into the COVID-19 pandemic, SARS-CoV-2 still remains a global public health problem. Successive waves of infection have produced new SARS-CoV-2 variants with new mutations for which the impact on COVID-19 severity and patient survival is uncertain. Methods: A total of 764 SARS-CoV-2 genomes, sequenced from COVID-19 patients, hospitalized from 19th February 2020 to 30 April 2021, along with their clinical data, were used for survival analysis. Results: A significant association of B.1.1.7, the alpha lineage, with patient mortality (log hazard ratio (LHR) = 0.51, C.I. = [0.14,0.88]) was found upon adjustment by all the covariates known to affect COVID-19 prognosis. Moreover, survival analysis of mutations in the SARS-CoV-2 genome revealed 27 of them were significantly associated with higher mortality of patients. Most of these mutations were located in the genes coding for the S, ORF8, and N proteins. Conclusions: This study illustrates how a combination of genomic and clinical data can provide solid evidence for the impact of viral lineage on patient survival.
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