Acute sensorineural hearing loss associated with peginterferon and ribavirin combination therapy during hepatitis C treatment: Outcome after resumption of therapy
Bibliographic record
Abstract
Peginterferon and ribavirin combination therapy for the treatment of hepatitis C virus (HCV) is well known to be associated with significant adverse effects. Sensorineural hearing loss, that in most cases is unilateral, has been reported as a consequence of therapy with both non-pegylated and pegylated interferon (pegIFN) but is not a well-known adverse effect. We report a 45-year-old Caucasian woman who developed acute sensorineural hearing loss 2 mo after starting therapy with pegIFN-alpha 2b and ribavirin for the treatment of chronic HCV, genotype 1a. She did not report the hearing loss to the hepatitis clinic until 1 mo, later whereupon therapy was promptly discontinued. Although her serum alanine aminotransferase (ALT) normalized and her HCV-RNA became undetectable after 12 wk of pegIFN and ribavirin therapy, after discontinuation, her HCV-RNA became detectable with significant elevations of serum ALT. Four months after initial discontinuation, the patient re-commenced pegIFN and ribavirin combination therapy. After 44 of 48 wk of therapy, the patient's liver biochemistry has normalized and the HCV-RNA is undetectable. She has not developed worsening of her hearing loss and hearing on the left-side is unaffected. Both patients and physicians should be aware that sensorineural hearing loss may occur with pegIFN therapy. Our experience suggests that re-institution of therapy is not always associated with further hearing impairment.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".