Effect of Alcohol Use and Highly Active Antiretroviral Therapy on Plasma Levels of Hepatitis C Virus (HCV) in Patients Coinfected with HIV and HCV
Bibliographic record
Abstract
BACKGROUND: The interactions between human immunodeficiency virus (HIV), hepatitis C virus (HCV), alcohol, and antiretroviral therapy are complex. METHODS: We retrospectively assessed persons coinfected with HIV and HCV who achieved HIV suppression to < 500 copies/mL and continued to take antiretrovirals for > or = 6 months. Frozen plasma specimens were retrieved for quantitation of HCV RNA levels at baseline and 3, 6, and 12 months after beginning antiretroviral treatment. RESULTS: Median HCV RNA levels increased (0.35 log10 IU/mL) at month 3 (n = 44). HCV RNA levels decreased to below baseline by 12 months in patients consuming < 50 g of alcohol/day, whereas patients consuming > or = 50 g/day had a sustained increase (> 0.6 log10 IU/mL) from baseline (P = .04). CONCLUSIONS: Because low levels of HCV RNA are predictive of a virological response to therapy for HCV infection, it may be advantageous to first achieve suppression of HIV RNA and then initiate treatment for HCV infection in patients coinfected with HIV and HCV. Excess alcohol consumption with therapy for HIV infection increases HCV RNA levels and may impede the effectiveness of this treatment strategy.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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".