RETRACTED: Rhabdomyolysis and Acute Kidney Injury Associated With Terbinafine Use: A Case Report
Post-publication record
Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement; it reports them as false, which reads as “fine”.
Bibliographic record
Abstract
RATIONALE: Terbinafine is an antimicrobial agent commonly prescribed for fungal infections. Its side effect profile is generally benign, but there is limited evidence that it has the potential to cause rhabdomyolysis. Rhabdomyolysis is a potentially life-threatening condition caused by profound muscle injury. It has characteristic findings of muscle pain, weakness, and dark urine. When recognized early, patients with rhabdomyolysis can be managed conservatively with hydration and watchful monitoring. However, if treatments are delayed, or in severe cases of rhabdomyolysis, complications such as electrolyte abnormalities, acute kidney injury, and disseminated intravascular coagulation can develop. PRESENTING CONCERNS OF THE PATIENT: A previously healthy 22-year-old male presented with nausea, vomiting, and dark urine after taking terbinafine 250 mg daily for a tinea infection for 9 days. He developed severe rhabdomyolysis with a serum creatine kinase (CK) of >100 000 U/L as well as anuric acute kidney injury. DIAGNOSIS: The clinical history combined with the diagnostic findings suggest acute kidney injury and rhabdomyolysis associated with terbinafine use. INTERVENTIONS: Terbinafine use was stopped immediately. The patient was started on intravenous fluids and bicarbonate drip. Hemodialysis was initiated to prevent further complications. After his CK level decreased and his clinical status stabilized, he was discharged home and continued to receive outpatient hemodialysis treatments. OUTCOME: The patient's kidney function returned to baseline after 1 month of outpatient hemodialysis treatments. NOVEL FINDING: In this report, we present a case of rhabdomyolysis associated with terbinafine use that progressed to acute kidney injury requiring dialysis. Our case highlights a less known and severe side effect of this medication and emphasizes the importance of early recognition and treatment of rhabdomyolysis.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.013 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 0.004 |
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".