Acute reversible rhabdomyolysis during direct-acting antiviral hepatitis C virus treatment: a case report
Bibliographic record
Abstract
INTRODUCTION: Treatment of hepatitis C infection has evolved dramatically since 2011. Previous conventional therapy with interferon and ribavirin used to have a low sustained virological response rate of less than 40%. In the new direct-acting antiviral therapy era, a sustained virological response can be achieved in more than 90% of cases. CASE PRESENTATION: We report a rare case of severe reversible acute rhabdomyolysis in a 31-year-old Saudi male patient with very long-chain acyl-coenzyme A dehydrogenase deficiency and chronic hepatitis C infection. The patient was clinically asymptomatic with no signs of decompensated liver disease. The patient received new direct-acting antiviral agents: sofosbuvir and daclatasvir. Fourteen days after initiation of direct-acting antiviral agents, the patient was found to have asymptomatic rhabdomyolysis. His creatine kinase peaked at 2572 IU/l, and he was treated conservatively; the direct-acting antiviral agents were discontinued and within 7 days, the patient's creatine kinase levels normalized. CONCLUSION: This case highlights possible direct-acting antiviral agent-induced rhabdomyolysis in a patient with very-long-chain acyl-CoA dehydrogenase deficiency, presumably through alteration of mitochondrial membrane potential. Further studies are required to assess the possible impact and associations.
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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) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.007 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".