Sensorineural hearing loss in systemic lupus erythematosus: case report and literature review
Bibliographic record
Abstract
OBJECTIVES: We present a case of systemic lupus erythematosus with symptomatic sensorineural hearing loss which was successfully treated with azathioprine, as assessed both clinically and radiologically. We also present a review of the relevant literature. CASE REPORT: A woman with systemic lupus erythematosus presented with sensorineural hearing loss, initially on the right and subsequently developing on the left over several months. An audiogram revealed profound neurosensory hearing loss bilaterally. The patient was treated with prednisone 60 mg daily and azathioprine 200 mg daily. An improvement on the left was noted on follow-up audiography as well as on magnetic resonance imaging of the internal auditory canals and surrounding structures. CONCLUSION: Sensorineural hearing loss has been described in autoimmune disorders but is rare. Aural symptoms have been described, with varying incidences (0-57.5 per cent), in systemic lupus erythematosus. However, symptomatic sensorineural hearing loss is rare in systemic lupus erythematosus. Prednisone appears essential when an immunological or vasculitic cause is found. The use of azathioprine should be considered, as well as follow-up with magnetic resonance imaging to detect improvement.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".