Azithromycin-induced Adolescent Manic Episode with Psychotic Features: A Case Report.
Bibliographic record
Abstract
Introduction: Premarketing clinical trials of azithromycin (AZT) computed a 0.8-percent incidence rate of neurological symptoms, such as headaches and vertigo. Postmarket surveillance reported on psychiatric reactions to AZT that included aggression, agitation, anxiety, delirium, and hallucinations. Nonetheless, these observations do not provide further insight on patient characteristics, disease course, and medical intervention. Methods: infection. Results: (DSM-5) criteria, the patient was diagnosed with medication-induced manic episode with psychotic features. At presentation, the patient received an intramuscular injection consisting of haloperidol 10mg and diphenhydramine 50mg, followed by olanzapine 10mg, diazepam 20mg, and lorazepam 5mg orally on account of his severe agitation. The patient was then maintained on olanzapine 30mg and lorazepam 5mg for six days. Lorazepam was then titrated down to 4mg for two days, then to 3mg in the outpatient setting. The patient demonstrated relative improvement in both the inpatient and outpatient settings, with no relapse despite eventual discontinuation of psychotropic medication. Conclusion: We report, to our knowledge for the first time, that AZT monotherapy might induce a manic episode with psychotic features in adolescent patients with no psychiatric medical history.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".