P-2051. Assessing SARS-CoV-2 Correlates Protection from Exposed Household Members: A Prospective Cohort Study (AB-PROTECT Study)
Bibliographic record
Abstract
Abstract Background The protection afforded by COVID-19 vaccination wanes over time and varies by SARS-CoV-2 strain. Identifying a marker to serve as an immunologic correlate of protection (CoP) is crucial to ensure future vaccine iterations are sufficiently protective and to inform recommendations for the timing of subsequent vaccine doses.Figure 1.Antibody titres.The probability of COVID-19 by log transformed anti-Spike and anti-RBD IgG titres with raw values represented by dots. Methods A prospective cohort of asymptomatic adults exposed to a household member with COVID-19 was created in Toronto, Ontario from October 1, 2021 until February 21, 2023. At enrolment, anti-spike and anti-receptor binding domain (RBD) IgG titres were measured as were pseudoneutralization titres against wild-type, BA.1 and BA.5 strains for those who provided serum. Participants were followed for 28 days with molecular or antigen testing performed if COVID-19 symptoms arose. A convalescent DBS was collected to assess for asymptomatic infection to compare acute and convalescent anti-nucleoprotein IgG titres. The probability of contracting COVID-19 was modeled using a binomial generalized additive model with a logit link and a thin plate spline on log transformed antibody titres adjusted for whether mitigation measures were employed.Figure 2.Pseudoneutralization Titres.The probability of COVID-19 by log transformed SARS-CoV-2 wild-type pseudoneutralization antibody titres for the entire cohort and households with a circulating Omicron variant. Results In total, 432 individuals from 311 households participated, of which 210 developed COVID-19. The median age was 43 (interquartile range 38-50), 67% (288/432) received 3 vaccine doses, 65% (280/432) were a parent of the index case and 51% (222/432) employed a mitigation measure. There was no difference in the probability of infection by Spike or RBD titres (Figure 1). The difference in probability of COVID for Spike IgG between the 90th (8.83) and 10th percentiles (5.76) is 1.01 (95% CI 0.9 - 1.15, p = 0.84). For RBD IgG the difference between 90th (8.17) and 10th percentiles (5.27) is 1.01 (95% CI 0.89 - 1.14, p = 0.87). Wild-type pseudoneutralization titres also did not confer protection (Figure 2). No differences were identified by circulating household SARS-CoV-2 variant or by pseudoneutralization strain. Conclusion Vaccine derived immune markers of asymptomatic household contacts do not correlate with protection against COVID-19. This could be due to the nonexistence of humoral correlates, rapid rise in antibody titres during the pre-symptomatic phase, or changes in behaviour overrides immune protection. Disclosures Allison McGeer, MD, AstraZeneca: Honoraria|GSK: Honoraria|Merck: Honoraria|Moderna: Honoraria|Novavax: Honoraria|Pfizer: Grant/Research Support|Pfizer: Honoraria|Roche: Honoraria|Seqirus: Grant/Research Support|Seqirus: Honoraria
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".