Do quantitative levels of antispike‐IgG antibodies aid in predicting protection from SARS‐CoV‐2 infection? Results from a longitudinal study in a police cohort

Author:

Sendi Parham1ORCID,Widmer Nadja2,Branca Mattia3,Thierstein Marc4,Büchi Annina Elisabeth5,Güntensperger Dominik3,Blum Manuel Raphael67,Baldan Rossella1,Tinguely Caroline2,Heg Dik3,Theel Elitza S.8,Berbari Elie9,Tande Aaron J.9,Endimiani Andrea1,Gowland Peter2,Niederhauser Christoph12,

Affiliation:

1. Institute for Infectious Diseases University of Bern Bern Switzerland

2. Interregional Blood Transfusion Swiss Red Cross Bern Switzerland

3. CTU Bern University of Bern Bern Switzerland

4. Division Operations Cantonal Police Bern Bern Switzerland

5. Department of Pulmonary Medicine, Inselspital Bern University Hospital, University of Bern Bern Switzerland

6. Department of General Internal Medicine, Inselspital Bern University Hospital, University of Bern Bern Switzerland

7. Institute of Primary Health Care (BIHAM) University of Bern Bern Switzerland

8. Division of Clinical Microbiology Mayo Clinic Rochester Minnesota USA

9. Division of Public Health Infectious Diseases, and Occupational Medicine Mayo Clinic Rochester Minnesota USA

Abstract

AbstractIn a COVID‐19 sero‐surveillance cohort study with predominantly healthy and vaccinated individuals, the objectives were (i) to investigate longitudinally the factors associated with the quantitative dynamics of antispike (anti‐S1) IgG antibody levels, (ii) to evaluate whether the levels were associated with protection from SARS‐CoV‐2 infection, and (iii) to assess whether the association was different in the pre‐Omicron compared with the Omicron period. The QuantiVac Euroimmun ELISA test was used to quantify anti‐S1 IgG levels. The entire study period (16 months), the 11‐month pre‐Omicron period and the cross‐sectional analysis before the Omicron surge included 3219, 2310, and 895 reactive serum samples from 949, 919, and 895 individuals, respectively. Mixed‐effect linear, mixed‐effect time‐to‐event, and logistic regression models were used to achieve the objectives. Age and time since infection or vaccination were the only factors associated with a decline of anti‐S1 IgG levels. Higher antibody levels were significantly associated with protection from SARS‐CoV‐2 infection (0.89, 95% confidence interval [CI] 0.82–0.97), and the association was higher during the time period when Omicron was predominantly circulating compared with the ones when Alpha and Delta variants were predominant (adjusted hazard ratio for interaction 0.66, 95% CI 0.53–0.84). In a prediction model, it was estimated that >8000 BAU/mL anti‐S1 IgG was required to reduce the risk of infection with Omicron variants by approximately 20%–30% for 90 days. Though, such high levels were only found in 1.9% of the samples before the Omicron surge, and they were not durable for 3 months. Anti‐S1 IgG antibody levels are statistically associated with protection from SARS‐CoV‐2 infection. However, the prediction impact of the antibody level findings on infection protection is limited.

Publisher

Wiley

Subject

Infectious Diseases,Virology

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