Experience with antiviral agents for treatment of hepatitis C virus infection in hemodialysis patients on the kidney wait list
Bibliographic record
Abstract
INTRODUCTION: Hepatitis C virus (HCV) infection is associated with increased mortality and morbidity in kidney transplant patients. The ability to establish a sustained viral response before renal transplant is important for these patients. Direct-acting antiviral agents can increase the sustained viral response in most patients with HCV infection. In this case series, we aimed to determine the efficacy and safety of a combined therapy of ombitasvir, paritaprevir, ritonavir, and dasabuvir with or without ribavirin in patients with HCV genotype 1 infection without cirrhosis and on hemodialysis who were awaiting deceased-donor kidney transplant. METHODS: Our study included eight male and two female HCV ribonucleic acid (RNA)-positive hemodialysis patients (mean age 50.7 ± 15 years, mean hemodialysis duration 14 ± 5.5 years, mean HCV duration 18 ± 3.7 years). FINDINGS: Three patients with genotype 1a received oral therapy with 12.5 mg ombitasvir, 150 mg paritaprevir, 7 5 mg ritonavir, and 250 mg dasabuvir plus 200 mg ribavirin for 12 weeks. Seven patients with genotype 1b received 12.5 mg ombitasvir, 150 mg paritaprevir, 75 mg ritonavir, and 250 mg dasabuvir without ribavirin treatment for 12 weeks. The sustained virologic response rate was 100% at 12 weeks after completion of antiviral treatment in both treatment groups. No serious adverse effects were observed in either treatment group. Five patients had constitutional symptoms such as nausea, anorexia, and fatigue. During the treatment period, hemoglobin, white cell blood count, thrombocyte, and ferritin levels were similar to pretreatment levels. Treatment did not affect weekly erythropoietin and monthly intravenous iron treatment doses. DISCUSSION: Direct-acting antiviral agents are safe and effective for generating a sustained viral response in HCV genotype 1-infected hemodialysis patients on kidney wait lists.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".