<scp>CHIME</scp> : Sofosbuvir/Velpatasvir (S/V) for the Treatment of <scp>HCV</scp> Infection Among Vulnerable Inner‐City Residents
Bibliographic record
Abstract
The combination of Sofosbuvir/Velpatasvir(S/V) is approved for the treatment of chronic HCV infection. In registrational trials, cure rates of 95% or more were achieved when administered as one pill per day for a period of 12 weeks, regardless of genotype or disease stage. There is a need to develop and evaluate systems of care in populations excluded from clinical trials. We aim to evaluate the safety and efficacy of S/V in a prospective study of HCV-infected inner-city residents enriched for risk behaviours for non-adherence to therapy, including problematic drug use and unstable housing. Through dedicated outreach events, we identified HCV-infected patients who were not currently engaged in health care and who were eligible to receive government-funded antiviral treatment for HCV infection. We offered them the opportunity to enrol in a multidisciplinary programme of care to address medical, psychological, social, and addiction-related needs, and provide S/V therapy in this context, with enhanced supervision of adherence. We identified 222 eligible subjects, 31.5% female, median age of 47 (24-81) years. The most common genotype was 1, followed by 3 (48.2%, 38.7%) and 21.2% scored F3-F4 FibroScan scores. 55.9% have unstable housing, and 98.6% are active drug users, with the majority utilising fentanyl, followed by amphetamines (82.9%, 64.9%). HCV treatment has been started in all 222 persons within a median of 6 weeks of engagement in care. 218 persons completed treatment, one individual withdrew from the treatment, and 3 overdose deaths were documented. HCV cure was documented in 211/218 (96.8%). Virologic relapse was documented in the other 7 cases. The intent-to-treat SVR rate of HCV treatment with S/V was 211/222 (95.0%). Taken together, our data validate the development of multidisciplinary programmes such as ours to address HCV infection, yielding high rates of engagement and retention in care, promoting initiation of treatment (usually within 6 weeks) and > 97% rate of cure.
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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 | 0.000 | 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 | 0.001 | 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) | 0.002 | 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".