Persistence of antibody responses to COVID-19 vaccines among participants in the COVID-19 Community Research Partnership.

Antibody responses COVID-19 COVID-19 vaccines SARS-CoV-2 Serology

Journal

Vaccine: X
ISSN: 2590-1362
Titre abrégé: Vaccine X
Pays: England
ID NLM: 101748769

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 07 08 2023
accepted: 10 08 2023
medline: 31 8 2023
pubmed: 31 8 2023
entrez: 31 8 2023
Statut: epublish

Résumé

High levels of immunity to SARS-CoV-2 in the community correlate with protection from COVID-19 illness. Measuring COVID-19 antibody seroprevalence and persistence may elucidate the level and length of protection afforded by vaccination and infection within a population. We measured the duration of detectable anti-spike antibodies following COVID-19 vaccination in a multistate, longitudinal cohort study of almost 13,000 adults who completed daily surveys and submitted monthly dried blood spots collected at home. Overall, anti-spike antibodies persisted up to 284 days of follow-up with seroreversion occurring in only 2.4% of the study population. In adjusted analyses, risk of seroreversion increased with age (adults aged 55-64: adjusted hazard ratio [aHR] 2.19 [95% confidence interval (CI): 1.22, 3.92] and adults aged > 65: aHR 3.59 [95% CI: 2.07, 6.20] compared to adults aged 18-39). Adults with diabetes had a higher risk of seroreversion versus nondiabetics (aHR 1.77 [95% CI: 1.29, 2.44]). Decreased risk of seroreversion was shown for non-Hispanic Black versus non-Hispanic White (aHR 0.32 [95% CI: 0.13, 0.79]); college degree earners versus no college degree (aHR 0.61 [95% CI: 0.46, 0.81]); and those who received Moderna mRNA-1273 vaccine versus Pfizer-BioNTech BNT162b2 (aHR 0.35 [95% CI: 0.26, 0.47]). An interaction between healthcare worker occupation and sex was detected, with seroreversion increased among male, non-healthcare workers. We established that a remote, longitudinal, multi-site study can reliably detect antibody durability following COVID-19 vaccination. The survey platform and measurement of antibody response using at-home collection at convenient intervals allowed us to explore sociodemographic factors and comorbidities and identify predictors of antibody persistence, which has been demonstrated to correlate with protection against disease. Our findings may help inform public health interventions and policies to protect those at highest risk for severe illness and assist in determining the optimal timing of booster doses.Clinical trials registry: NCT04342884.

Identifiants

pubmed: 37649617
doi: 10.1016/j.jvacx.2023.100371
pii: S2590-1362(23)00112-2
pmc: PMC10462856
doi:

Banques de données

ClinicalTrials.gov
['NCT04342884']

Types de publication

Journal Article

Langues

eng

Pagination

100371

Informations de copyright

© 2023 The Author(s).

Déclaration de conflit d'intérêts

The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: All Authors report financial support was provided by Centers for Disease Control and Prevention. All Authors report financial support was provided by US Department of Health and Human Services. Andrea Berry and DeAnna Friedman-Klabanoff report financial support was provided by National Institutes of Health.

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Auteurs

Andrea A Berry (AA)

Department of Pediatrics, Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA.

Ashley H Tjaden (AH)

The Biostatistics Center, Milken Institute School of Public Health, George Washington University, Rockville, MD, USA.

Jone Renteria (J)

The Biostatistics Center, Milken Institute School of Public Health, George Washington University, Rockville, MD, USA.

DeAnna Friedman-Klabanoff (D)

Department of Pediatrics, Center for Vaccine Development and Global Health, University of Maryland School of Medicine, Baltimore, MD, USA.

Amy N Hinkelman (AN)

Jerry M. Wallace School of Osteopathic Medicine, Campbell University, Lillington, NC, USA.

Michael A Gibbs (MA)

Atrium Health, Charlotte, NC, USA.

Amina Ahmed (A)

Atrium Health, Charlotte, NC, USA.

Michael S Runyon (MS)

Atrium Health, Charlotte, NC, USA.

John Schieffelin (J)

Department of Pediatrics, Tulane University School of Medicine, New Orleans, LA, USA.

Robert P Santos (RP)

University of Mississippi Medical Center, Jackson, MS, USA.

Richard Oberhelman (R)

Department of Pediatrics, Tulane University School of Medicine, New Orleans, LA, USA.

Matthew Bott (M)

The Biostatistics Center, Milken Institute School of Public Health, George Washington University, Rockville, MD, USA.

Adolfo Correa (A)

University of Mississippi Medical Center, Jackson, MS, USA.

Sharon L Edelstein (SL)

The Biostatistics Center, Milken Institute School of Public Health, George Washington University, Rockville, MD, USA.

Diane Uschner (D)

The Biostatistics Center, Milken Institute School of Public Health, George Washington University, Rockville, MD, USA.

Thomas F Wierzba (TF)

Section on Infectious Diseases, Department of Internal Medicine, Wake Forest University School of Medicine, Winston Salem, NC, USA.

Classifications MeSH