Effect of sustained viral clearance on liver-related mortality among individuals living with hepatitis C by treatment era: a population-based retrospective cohort study
Bibliographic record
Abstract
Abstract Background Chronic infection with hepatitis C virus (HCV) is a leading cause of liver-related mortality. Direct-acting antivirals (DAAs) have revolutionised treatment by offering profound improvements in sustained viral clearance (SVR) and tolerability resulting in rapid expansion of treatment for individuals for whom HCV treatment had previously been less feasible, such as those with advanced liver disease or with drug and/or alcohol-related substance use. Given these clinical policy shifts, the primary objective of this study was to assess the impact of SVR on liver-related death among important clinical groups and the secondary objective was to explore changes in predictors of liver-related death by treatment era using real-world data from a large population-based cohort. Methods We conducted a population-based, linked cohort study of all Ontario residents with HCV viremia between January 1st, 1999, and December 31st, 2018, with follow up to 31st May 2021 (N=73,411). Population-level health administrative, clinical, and demographic data were accessed at ICES. Cause-specific hazard models were used to explore the impact of SVR on liver-related death and to identify factors associated with the rate of liver-related death in the DAA and pre-DAA treatment eras. The moderating effects of liver disease severity and substance-use disorder on the relationship between SVR and liver-related-mortality was explored by stratification. Results Among Ontario residents diagnosed with living with HCV, the achievement of SVR was associated with a significant reduction in liver related mortality (adjusted hazard ratio [aHR] 0.22, 95%CI: 0.20-0.24 vs. no SVR). This was also observed across progressive liver disease severity levels (aHR 0.13, 95%CI: 0.10-0.17 for individuals without cirrhosis; aHR 0.11, 95%CI: 0.06-0.17 for those with compensated cirrhosis, and aHR 0.24, 95%CI: 0.22-0.27 for those with advanced liver disease vs. no SVR) and by substance use status (aHR 0.24, 95%CI: 0.21-0.27 for those with a history of substance use disorder; and aHR 0.21, 95%CI: 0.18-0.24 for those without vs. no SVR). Additionally, factors such as age at diagnosis, sex, liver disease severity, immigration status, birth year, substance use, HBV-coinfection, viral genotype, and markers of social marginalisation were independent predictors of liver-related mortality. However, sex, and viral genotype no longer displayed significant associations with liver-related death in the DAA era as was observed in the earlier treatment era. Conclusions This study provides real-world evidence showing profound impact of SVR on liver-related mortality in a population-based sample of individuals with CHC and highlights the importance of early diagnosis and treatment. This study further demonstrates significant mortality benefits of SVR regardless of substance use status highlighting the importance of supporting marginalised individuals in treatment access.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".