Uncommon side effects of common drugs in patients with familial dysautonomia
Bibliographic record
Abstract
PURPOSE: Patients with the autosomal recessive disorder of familial dysautonomia typically exhibit exacerbated adverse side effects to many common drugs. We aimed to catalog these adverse effects - with a focus on common drugs that are frequently administered to FD patients and compare their incidences to those within the general population. METHODS: We used data of 595 FD patients from an international database with information on drugs received and adverse effects. To investigate the molecular causes of reported differences in drug responses in FD patients, we used expression microarrays to compare the mRNA expression profiles in peripheral blood leukocytes of FD patients (n = 12) and healthy individuals (n = 10). RESULTS: Several drug classes, including cholinergics, anti-cholinergics, anti-convulsants, methylxanthines, SSRIs, and antibiotics caused either unreported symptoms or elevated rates of adverse events in FD patients. FD patients experienced different or more frequent adverse side effects than the general population in 31/123 drugs. These side effects included blood cell dyscrasias, amenorrhea, gastrointestinal bleeding, and bronchospasm. New findings include enhanced reaction of FD patients to H2 antagonist agents and to serotonin receptor agonists. We also detected eight genes differentially expressed between FD patients and healthy individuals that may underlie the differential drug responses of FD patients. CONCLUSION: We provide evidence that suggests the use of several common drugs should be discontinued or reduced in FD patients.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".