Assessing the impact of SARS-CoV-2 lineages and mutations on patient survival

Abstract After more than two years of 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 whose impact on COVID-19 severity and patient survival is uncertain. A total of 764 SARS-CoV-2 genomes sequenced from COVID-19 patients, hospitalized from 19th February 2020 to 30st April 2021, along with their clinical data, were used for survival analysis. 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 rendered 27 of them significantly associated with higher mortality of patients. Most of these mutations were located in the S, ORF8 and N proteins. This study illustrates how a combination of genomic and clinical data provide solid evidence on the impact of viral lineage on patient survival..

Medienart:

Preprint

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

bioRxiv.org - (2023) vom: 24. Nov. Zur Gesamtaufnahme - year:2023

Sprache:

Englisch

Beteiligte Personen:

Loucera, Carlos [VerfasserIn]
Perez-Florido, Javier [VerfasserIn]
Casimiro-Soriguer, Carlos S. [VerfasserIn]
Ortuño, Francisco M. [VerfasserIn]
Carmona, Rosario [VerfasserIn]
Bostelmann, Gerrit [VerfasserIn]
Martínez-González, L. Javier [VerfasserIn]
Muñoyerro-Muñiz, Dolores [VerfasserIn]
Villegas, Román [VerfasserIn]
Rodriguez-Baño, Jesus [VerfasserIn]
Romero-Gomez, Manuel [VerfasserIn]
Lorusso, Nicola [VerfasserIn]
Garcia-León, Javier [VerfasserIn]
Navarro-Marí, Jose M. [VerfasserIn]
Camacho-Martinez, Pedro [VerfasserIn]
Merino-Diaz, Laura [VerfasserIn]
de Salazar, Adolfo [VerfasserIn]
Viñuela, Laura [VerfasserIn]
Lepe, Jose A [VerfasserIn]
Garcia, Federico [VerfasserIn]
Dopazo, Joaquin [VerfasserIn]

Links:

Volltext [kostenfrei]

Themen:

570
Biology

doi:

10.1101/2022.07.07.22277353

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

XBI036481262