Abstract 9925: Patient-Reported Treatment Satisfaction in Etripamil-Mediated Conversion of Supraventricular Tachycardia to Sinus Rhythm: Results From the NODE-301 Study
Bibliographic record
Abstract
Introduction: Etripamil is a fast-acting, intranasally administered non-dihydropyridine, L-type calcium channel blocker in development for medically unsupervised self-administration to treat AV nodal-dependent paroxysmal supraventricular tachycardia (PSVT). The objective of this analysis was to compare patient-reported effectiveness and relief of symptoms for patients whose PSVT terminated (converters) versus non-converters within 10 and 30 minutes of etripamil treatment. Methods: NODE-301 (NCT03464019) is a randomized, double-blind, placebo-controlled phase 3 study. Patients self-administered the study drug (etripamil 70 mg) or placebo intranasally in response to a perceived SVT episode and were then monitored for 5 hours. Perceived treatment effectiveness was assessed via the Treatment Satisfaction Questionnaire for Medication 9 (TSQM-9) effectiveness domain and patient-reported relief of symptoms was assessed by item 2. Converters and nonconverters were compared via 2-way ANOVA. Results: Of 107 patients who self-administered etripamil in response to a positively adjudicated SVT episode, 34 (32%) converted to sinus rhythm within 10 minutes, and 56 (54%) converted within 30 minutes. For both time points, converters had significantly higher mean TSQM domain scores for drug effectiveness and symptom relief compared with nonconverters ( Table ; P <0.001). Conclusion: Patients with PSVT who self-administered etripamil in response to an SVT episode reported higher effectiveness and better symptom relief when their episode was resolved within the first 10 and 30 minutes of the 5-hour monitoring period.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.000 | 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".