Abstract 4101: The Effect of Dronaderone on Hospitalizations in Patients with Atrial Fibrillation. Results from the ATHENA Study
Bibliographic record
Abstract
The ATHENA study has demonstrated that dronaderone reduces a combined endpoint of cardiovascular hospitalizations and cardiovascular death in patients with paroxysmal or persistent atrial fibrillation or flutter (AF). Two previous studies have demonstrated dronaderone to reduce risk of AF recurrence. Here we examine the impact of dronaderone on hospitalizations. ATHENA is a double-blind, placebo controlled parallel group study. Eligible patients needed to have documented AF as well as documented sinus rhythm within 6 months year prior to randomization. Patients further needed to document increased risk by an age above 75 years or an age above 70 years and additionally either diabetes, prior stroke, hypertension, reduced left ventricular function or an enlarged left atrium. New York heart association class IV was an exclusion criterion. Randomized patients received dronaderone 400 mig bid or matching placebo. Mean follow-up was 21 months. The primary outcome was cardiovascular hospitalization or death. Cardiovascular hospitalization was a secondary outcome. There were 675 first cardiovascular hospitalizations on dronaderone and 859 on placebo, hazard ratio 0.75 (95% cl 0.67– 0.82, p<0.001). The main reasons for first hospitalization on dronaderone/placebo were: AF 296/457, ischemic heart disease 93/102, heart failure 78/92. Overall there were 438/511 cardiovascular hospitalizations not related to AF/AFL, hazard ratio 0.86 (0.75– 0.97, p=0.02). There were 516/533 non-cardiovascular hospitalizations, hazard ratio 0.98 (0.87–1.11, p=0.8). Examining total hospitalization burden (cardiovascular and non-cardiovascular) there were 9995 nights in hospital on dronaderone and 13986 on placebo, a reduction of 28% (p<0.001). For cardiovascular hospitalizations the number of nights were 5875/9073, a reduction of 35% (p<0.001). In patients with paroxysmal or persistent AF dronaderone substantially reduces the risk of cardiovascular hospitalization and substantially reduces total hospitalization burden.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".