Predictors of Breakthrough SARS-CoV-2 Infection after Vaccination.

COVID SARS-CoV-2 antibody booster breakthrough serology vaccine

Journal

Vaccines
ISSN: 2076-393X
Titre abrégé: Vaccines (Basel)
Pays: Switzerland
ID NLM: 101629355

Informations de publication

Date de publication:
28 Dec 2023
Historique:
received: 27 11 2023
revised: 20 12 2023
accepted: 25 12 2023
medline: 22 1 2024
pubmed: 22 1 2024
entrez: 22 1 2024
Statut: epublish

Résumé

The initial two-dose vaccine series and subsequent booster vaccine doses have been effective in modulating SARS-CoV-2 disease severity and death but do not completely prevent infection. The correlates of infection despite vaccination continue to be under investigation. In this prospective decentralized study (n = 1286) comparing antibody responses in an older- (≥70 years) to a younger-aged cohort (aged 30-50 years), we explored the correlates of breakthrough infection in 983 eligible subjects. Participants self-reported data on initial vaccine series, subsequent booster doses and COVID-19 infections in an online portal and provided self-collected dried blood spots for antibody testing by ELISA. Multivariable survival analysis explored the correlates of breakthrough infection. An association between higher antibody levels and protection from breakthrough infection observed during the Delta and Omicron BA.1/2 waves of infection no longer existed during the Omicron BA.4/5 wave. The older-aged cohort was less likely to have a breakthrough infection at all time-points. Receipt of an original/Omicron vaccine and the presence of hybrid immunity were associated with protection of infection during the later Omicron BA.4/5 and XBB waves. We were unable to determine a threshold antibody to define protection from infection or to guide vaccine booster schedules.

Identifiants

pubmed: 38250849
pii: vaccines12010036
doi: 10.3390/vaccines12010036
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : CIHR
ID : EG-179431
Pays : Canada

Auteurs

Sharon Walmsley (S)

Division of Infectious Diseases, Department of Medicine, University Health Network, Toronto, ON M5G1L7, Canada.
Department of Medicine, University of Toronto, Toronto, ON M5S1A1, Canada.

Majid Nabipoor (M)

Biostatistics Department, University Health Network, Toronto, ON M5G1L7, Canada.

Leif Erik Lovblom (LE)

Biostatistics Department, University Health Network, Toronto, ON M5G1L7, Canada.

Rizani Ravindran (R)

Division of Infectious Diseases, Department of Medicine, University Health Network, Toronto, ON M5G1L7, Canada.

Karen Colwill (K)

Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Sinai Health, Toronto, ON M5G1X5, Canada.

Alison McGeer (A)

Mount Sinai Hospital, Sinai Health, Toronto, ON M5G1X5, Canada.

Roya Monica Dayam (RM)

Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Sinai Health, Toronto, ON M5G1X5, Canada.

Dorin Manase (D)

DATA Team, University Health Network, Toronto, ON M5G1L7, Canada.

Anne-Claude Gingras (AC)

Lunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Sinai Health, Toronto, ON M5G1X5, Canada.
Department of Molecular Genetics, University of Toronto, Toronto, ON M5S1A1, Canada.

Classifications MeSH