Virological responses during treatment for recent hepatitis C virus
Bibliographic record
Abstract
OBJECTIVE: The role of ribavirin (RBV) in the treatment of recent hepatitis C virus (HCV) (acute/early chronic) is unclear, particularly in HIV-infected individuals. This study evaluated early virological decline during recent HCV therapy in HIV-uninfected individuals receiving pegylated interferon (PEG-IFN) monotherapy and HIV-infected individuals receiving PEG-IFN/RBV. DESIGN: The Australian Trial in Acute Hepatitis C was a nonrandomized prospective study of patients with recent HCV. METHODS: All participants received PEG-IFN (24 weeks); HCV/HIV participants also received RBV. Early HCV RNA decline was assessed among adherent participants (≥80% PEG-IFN, ≥80% treatment). Logistic regression identified predictors of rapid virological response (RVR) (<10 IU/ml). RESULTS: Of 109 treated, 82% were adherent (HCV, n=57; HCV/HIV, n=32). Overall, RVR was 51% (HCV: 55% vs. HCV/HIV: 43%; P=0.323). Factors independently associated with RVR included duration of infection less than 26 weeks, HCV RNA below 5.6 log(10) IU/ml at baseline and HCV genotype 2/3 infection. Between baseline and week 12, mean decline in HCV RNA was greater in HCV/HIV participants (PEG-IFN/RBV) compared to HCV participants (PEG-IFN) (4.19 vs. 3.32 log(10) IU/ml; P=0.029). Greater HCV RNA decline was observed in those treated with RBV, particularly amongst those with an estimated duration of infection at least 26 weeks and those with unfavourable IL28B genotypes. Adherent HIV-uninfected and infected participants had similar early virological response (76 vs. 90%; P=0.102) and sustained virological response (63 vs. 75%; P=0.253), respectively. RVR was highly predictive of sustained virological response (adjusted odds ratio 4.09; 1.49, 11.25). CONCLUSION: The results of this study suggest a potential benefit for PEG-IFN and RBV combination therapy in maximizing virological responses in HCV/HIV participants with recent HCV, particularly those with a longer duration of HCV infection and unfavourable IL28B genotypes.
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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 | 0.002 | 0.005 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 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".