A74 THE IMPACT OF SOFOSBUVIR-BASED THERAPY ON RENAL FUNCTION IN HEPATITIS C VIRUS PATIENTS WITH ADVANCED LIVER DISEASE
Bibliographic record
Abstract
Management of Hepatitis C virus (HCV) in chronic liver disease patients has been evolving over the past decade with the adoption of newer treatment strategies given the tolerability of these agents. HCV patients treated with Sofosbuvir-based therapy have seen hepatic recovery albeit the degree and specific patient population in which this occurs is undetermined. It can be hypothesized that renal function would improve post treatment given hepatic recovery and reduced diuretic use. The effect of Sofosbuvir-based therapy on renal function in the advanced liver disease population currently remains unclear. To assess the effect of Sofosbuvir-based therapy on renal function amongst HCV patients undergoing liver transplant assessment. Analysis of prospectively collected data of a cohort of HCV patients who have undergone liver transplant assessment at London Health Sciences Centre from January 2014 to January 2015. Patients who had commenced or completed Sofosbuvir-based therapy were selected. Patient outcomes included sustained virologic response at 12 weeks (SVR12), glomerular filtration rate (GFR) pre and post treatment, MELD-Na score, Child-Pugh score and liver transplant status were analyzed. Interim analysis was performed on 44 patients. A total of 22 patients (52%), all genotype 1, had commenced Sofosbuvir-based therapy with all patients who completed therapy, 19/19 (100%), acheiving SVR12. The mean MELD-Na score of these patients was 20.2 and mean Child-Pugh score was 8.4. 3/22 patients on therapy died, 1 from small bowel ischemia after completing therapy and 2 deaths prior to completion of therapy, both patients died from sepsis. 9/19 who achieved SVR12 had confirmed HCC, 3/19 have underwent orthotopic liver transplantation and were excluded from GFR evaluation. 16 patients Pre/Post Treatment GFR were assessed. The mean GFR pre-treatment was 88.6 ml/min/1.73m2and the GFR post treatment mean was 79.5 ml/min/1.73 m2, there was no significant difference between the two groups (P=0.18). None of the patients discontinued therapy. In this preliminary analysis, there was no clear difference in GFR post treatment with Sofosbuvir-based therapies. Sofosbuvir-based therapies were quite efficacious in this small sample size of the advanced liver disease population. Larger studies are needed to further evaluate the effect of Sofosbuvir-based therapy on renal function in patients with advanced liver disease. None
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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 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".