Prevalence, Risk Factors, and Shedding of Human Herpes Virus-8 Among Men Having Sex With Men Enrolled in a Pre-exposure Prophylaxis Study
Bibliographic record
Abstract
BACKGROUND: Seroprevalence and risk factors for Human Herpesvirus-8 (HHV-8) infection among HIV-negative men who have sex with men (MSM) on pre-exposure prophylaxis (PrEP) have not been well characterized. Our objectives were to assess the prevalence and incidence of HHV-8 infection in MSM enrolled on PrEP and assess viral shedding in seropositive participants. METHODS: The ANRS IPERGAY study enrolled 429 participants in France and Canada to evaluate oral PrEP for HIV-1 prevention. Stored sera samples at day 0 (D0) and last visit were tested for the detection of HHV-8 antibodies using an indirect immunofluorescence assay. Baseline characteristics were analyzed to identify risk factors associated with HHV-8 seropositivity. Among seropositive participants, HHV-8 DNA was quantified on available oral and anal swabs, and ORF-K1 typing performed on HHV-8 positive samples. RESULTS: One hundred participants were seropositive at D0 (prevalence of 24%, 95% Confidence Interval (95%CI): 20·0-28·4) and 18/329 seroconverted during the study (incidence rate of 2·66 per 100 person-years, 95%CI: 1·57-4·20). Risk factors independently associated with baseline HHV-8 seropositivity included older age, high number of sexual partners, chemsex use and HSV-2 seropositivity. Among HHV-8 seropositive participants with available swab(s) for virological analysis, 37/115 (32%) displayed HHV-8 oral shedding, and 5/113 (4.4%) anal shedding at least once. Four patients had positive viral load before seroconversion. CONCLUSION: Prevalence and incidence of HHV-8 infection were high in HIV-negative PrEP users. Among seropositive participants, HHV-8 DNA is mainly detected in saliva, which may play a major role in viral transmission in this population.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".