Hepatitis A and B vaccine uptake and immunisation among men who have sex with men seeking PrEP: a substudy of the ANRS IPERGAY trial
Bibliographic record
Abstract
Vaccination against hepatitis A virus (HAV) and hepatitis B virus (HBV) is recommended in men who have sex with men (MSM). We assessed HAV and HBV vaccine uptake in the non-immune participants and their immunisation during follow-up of the ANRS IPERGAY (Intervention Préventive de l'Exposition aux Risques avec et pour les Gays) pre-exposure prophylaxis (PrEP) trial.During the ANRS IPERGAY trial among MSM (NCT01473472), vaccination against HAV and HBV was offered free of charge to all non-immune participants at baseline. We assessed anti-HAV IgGs and anti-hepatitis B surface (HBs) antibodies (Abs) at baseline, 1-3 months after each vaccine dose and on the last follow-up visit. Vaccination uptake and immunisation were analysed in non-immune participants with at least 6 months of follow-up after the 1st vaccine dose.A total of 427 MSM with a median age of 34.8 years were analysed. Median follow-up was 2.2 years (Q1-Q3, 1.6-2.9). Absence of anti-HAV IgG at baseline (50.4%, 215/427) was associated with younger age (p=0.0001). Among HAV non-immune participants, 96.1% (197/205) received one or more vaccine doses and 91.0% (172/189) received two vaccine doses. Among HBV non-immune participants, 97.6 % (81/83) received one or more vaccine doses and 78.4% (58/74) received three doses. On the last-visit sample, anti-HAV IgG and anti-HBs Abs were respectively detected in 94.8% (95% CI 90.0% to 97.7%) and 79.6% (95% CI 66.5% to 89.4%) of participants with complete vaccination and in 80.0% (95% CI 51.9% to 95.7%) and 40.0% (95% CI 16.3% to 67.7%) of participants with incomplete vaccination.Vaccine acceptability against HAV and HBV infections was very high in MSM starting PrEP. Immunisation was high in participants with a full vaccination scheme. Physicians must consider PrEP visits as major opportunities to propose and complete HAV and HBV vaccination in at-risk non-immune subjects.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".