Telithromycin‐Induced Digoxin Toxicity and Electrocardiographic Changes
Bibliographic record
Abstract
A 58-year-old woman who had been taking digoxin 0.25 mg/day for more than 35 years for heart palpitations after mitral valve repair was prescribed a 5-day course of telithromycin for acute bronchitis. On the sixth day of therapy, she came to the emergency department complaining of general malaise and having experienced three episodes of syncope over the previous 2 days. Laboratory analysis revealed elevated digoxin plasma levels, and electrocardiography showed several nonspecific repolarization anomalies. Telithromycin is known to increase digoxin plasma levels; however, the clinical significance of this interaction is not known. To our knowledge, this is the first report of elevated plasma digoxin levels associated with signs and symptoms of toxicity. This drug interaction-determined as probable according to the Naranjo adverse drug reaction probability scale-may be mediated by P-glycoprotein. By inhibiting the transport of digoxin by P-glycoprotein, telithromycin may have decreased digoxin elimination in the intestinal lumen and its renal tubular excretion, resulting in elevated plasma levels and drug toxicity. Clinicians should be aware of possible digoxin toxicity after concomitant administration with telithromycin, especially in patients who are at risk, such as those with electrolyte abnormalities and decreased renal function.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".