Early diagnosis and risk factors of acute hepatitis C in high-risk MSM on preexposure prophylaxis
Bibliographic record
Abstract
BACKGROUND: A high incidence of acute hepatitis C virus (HCV) (AHCV) infection has been reported among at-risk HIV-negative MSM. The optimal strategy for early diagnosis of AHCV in this population is not clearly defined. METHODS: In the ANRS IPERGAY PrEP trial, among high-risk HIV-negative MSM, HCV serology and serum alanine aminotransferase (ALT) were used for screening at enrollment and during follow-up. Behavioral risk factors were compared at baseline between participants who were diagnosed with AHCV during the study compared with those who did not. In participants with a positive HCV serology, we used stored sera to perform the following tests at diagnosis and on previous visits: HCV-antibodies rapid tests, plasma HCV viral load and HCV antigen immunoassay. We evaluated the sensitivity of each test for AHCV diagnosis. RESULTS: Among 429 enrolled participants, 14 were diagnosed with AHCV infection, with a median follow-up of 2.1 (interquartile range, 1.5-2.8) years. AHCV incidence was 1.40 per 100 person-years (95% confidence interval, 0.74-2.39). Patients with AHCV reported a significantly higher number of sexual acts and/or partners, and more frequent recreational drug use at baseline. At the prior visit before AHCV diagnosis (median of 2 months earlier), sensitivities of HCV RNA and HCV antigen tests were, respectively, 100 and 89%, whereas none of the patients had a positive serology, and only 25% had elevated ALT. CONCLUSION: HCV antigen and RNA tests were positive within a median of 2 months before the detection of antibodies and ALT elevation. These tests could be considered for HCV screening in high-risk MSM.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".