Progression of fibrosis in liver transplant recipients with hepatitis C before and after sustained virologic response
Bibliographic record
Abstract
BACKGROUND: Liver transplant (LT) recipients with untreated hepatitis C (HCV) are at risk for cirrhosis graft failure. The advent of direct acting antiviral agents (DAA) has improved outcomes in HCV. AIMS: We aim to examine liver transplant outcomes and allograft fibrosis development/progression after sustained virologic response (SVR). METHODS: We performed a retrospective cohort study of 226 consecutive liver transplant recipients with HCV from 2007 to 2018. The cohort was split into transplants pre (Group A) and post (Group B) 2014 to reflect the introduction of DAAs. Fibrosis was monitored with liver biopsy and non-invasive imaging. RESULTS: Group B had significantly improved HCV treatment rates and earlier SVR compared to Group A, with a cumulative incidence rate of SVR at 2 years of 86.7% versus 15.4% (HR = .11, p < .001). Prior to achieving SVR, Group A demonstrated worsening of fibrosis stage per year (+.21, p < .001) whereas Group B showed minimal change on protocol annual biopsy (-.02, p = .80). After SVR, most patients were followed non-invasively and demonstrated stable or improved fibrosis stage over time. Patients undergoing transient elastography showed regression in fibrosis stage per year (-.19, p < .001). CONCLUSION: HCV patients undergoing LT after 2014 had higher rates of SVR and improved clinically relevant transplant outcomes, namely less graft loss and death relating to HCV. Fibrosis progression halted or improved after SVR in both cohorts, suggesting that LT recipients with SVR do not require fibrosis monitoring even with established fibrosis prior to SVR.
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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 | 0.001 | 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 | 0.000 | 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".