Immunogenicity of a bivalent BA.1 COVID-19 booster vaccine in people with HIV in the Netherlands
Bibliographic record
Abstract
OBJECTIVE: We evaluated the immunogenicity of a bivalent BA.1 COVID-19 booster vaccine in people with HIV (PWH). DESIGN: Prospective observational cohort study. METHODS: PWH aged ≥45 years received Wuhan-BA.1 mRNA-1273.214 and those <45 years Wuhan-BA.1 BNT162b2. Participants were propensity score-matched 1 : 2 to people without HIV (non-PWH) by age, primary vaccine platform (mRNA-based or vector-based), number of prior COVID-19 boosters and SARS-CoV-2 infections, and spike (S1)-specific antibodies on the day of booster administration. The primary endpoint was the geometric mean ratio (GMR) of ancestral S1-specific antibodies from day 0 to 28 in PWH compared to non-PWH. Secondary endpoints included humoral responses, T-cell responses and cytokine responses up to 180 days post-vaccination. RESULTS: Forty PWH received mRNA-1273.214 ( N = 35) or BNT162b2 ( N = 5) following mRNA-based ( N = 29) or vector-based ( N = 11) primary vaccination. PWH were predominantly male (87% vs. 26% of non-PWH) and median 57 years [interquartile range (IQR) 53-59]. Their median CD4 + T-cell count was 775 (IQR 511-965) and the plasma HIV-RNA load was <50 copies/ml in 39/40. The GMR of S1-specific antibodies by 28 days post-vaccination was comparable between PWH [4.48, 95% confidence interval (CI) 3.24-6.19] and non-PWH (4.07, 95% CI 3.42-4.83). S1-specific antibody responses were comparable between PWH and non-PWH up to 180 days, and T-cell responses up to 90 days post-vaccination. Interferon-γ, interleukin (IL)-2, and IL-4 cytokine concentrations increased 28 days post-vaccination in PWH. CONCLUSION: A bivalent BA.1 booster vaccine was immunogenic in well treated PWH, eliciting comparable humoral responses to non-PWH. However, T-cell responses waned faster after 90 days in PWH compared to non-PWH.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".