Pegylated interferon alpha 2b and ribavirin in HIV/hepatitis C virus-co-infected non-responders and relapsers to IFN-based therapy
Bibliographic record
Abstract
BACKGROUND: Pegylated interferon alpha (PEG-IFN-alpha) and ribavirin is the most effective available treatment for chronic hepatitis C virus (HCV) infection. Its role in HIV/HCV-co-infected patients who have failed IFN-based therapy is unclear. OBJECTIVE: The aim of this study was to determine the safety and efficacy of this therapy in HIV/HCV-co-infected non-responders and relapsers. DESIGN: An open-label cohort study of 32 non-responders and relapsers to IFN (with or without ribavirin). Patients were treated for 48 weeks with PEG-IFN-alpha 2b and ribavirin. MAIN OUTCOME MEASURE: A sustained virological response (SVR) defined as a negative HCV-RNA level 24 weeks after the end of treatment. RESULTS: The mean age of the patients was 40 years; 78% were men, 67% had genotype 1, and 36% had bridging fibrosis or cirrhosis. The majority had a CD4 cell count greater than 200 cells/microl (97%) and an undetectable HIV-RNA level (81%). Fifteen patients (47%) withdrew because of adverse events, predominantly neuropsychiatric. In an intention-to-treat analysis, a SVR was observed in five patients (16%); 9% with genotype 1 versus 29% with genotype 3 and 33% with genotype 4 (P = NS). Additional, but statistically non-significant, univariate predictors of response were lower serum HCV-RNA (P = 0.07) and higher alanine aminotransferase levels (P = 0.055) at baseline. No patient with bridging fibrosis or cirrhosis responded. Treatment had a minimal impact on HIV parameters. CONCLUSION: PEG-IFN-alpha 2b and ribavirin is a potentially useful therapy in HIV/HCV-co-infected patients who have failed standard IFN-based regimens. Strategies to improve adherence are vital so as to maximize long-term response rates.
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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 | 0.001 | 0.001 |
| 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".