0774 Factors Associated With The Continuous Use Of Psychotropic Treatments For Narcolepsy
Bibliographic record
Abstract
Abstract Introduction Narcolepsy is a debilitating disorder characterized by excessive sleepiness and cataplexy episodes. There is no cure for this disease. Current treatments focus on controlling the symptoms with CNS stimulants for sleepiness and antidepressants and/or CNS depressants for cataplexy. This study examines the factors that can contribute to the cessation of narcolepsy treatment. Methods The study includes 291 narcoleptic individuals who were interviewed twice, approximately five to seven years apart, in Wave 1 (W1) and Wave 2 (W2). Telephone interviews were conducted with the help of the Sleep-EVAL system; narcolepsy individuals were initially evaluated and diagnosed by a Sleep Specialist. Results At W1, 49.2% of narcoleptic individuals were taking a CNS stimulant; at W2, 37% of narcoleptic individuals were taking a CNS stimulant. The use was chronic (i.e., present at W2 and W1) for 52.7% of the W2 subjects. CNS depressants were used by 19.1% at W1 and 17% at W2. Of the W1 subjects, 67.6% still reported using CNS depressants at W2. In terms of antidepressants, 38.6% and 29.6% of subjects reported using these medications at W1 and W2 respectively. Of those taking antidepressants at W2, 58.9% reported chronic use (ie, were also on antidepressants at W1). At least one of the aforementioned medication classes was used by 72% of participants at W1 and 56.1% at W2. Chronicity of nocturnal awakenings (RR: 2.7), the frequency of cataplexy episodes (RR: 2.3) and the chronicity of hypnopompic hallucinations (RR: 2.8) were associated with long-term use of narcolepsy treatment. Conclusion Narcolepsy treatments are mostly taken to long term. Some narcoleptics individuals were able to reduce or stop treatment either because the intensity of symptoms decreased or because they developed coping mechanisms to deal with the symptoms. Support NIH (R01NS044199), the Arrillaga Foundation and Jazz Pharmaceuticals Inc.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".