Impact of dronedarone on hospitalization burden in patients with atrial fibrillation: results from the ATHENA study
Bibliographic record
Abstract
AIMS: Cardiovascular (CV) hospitalization is a predictor of CV mortality and has a negative impact on patients' quality of life. The primary endpoint of A placebo-controlled, double-blind, parallel-arm Trial to assess the efficacy of dronedarone 400 mg bid for the prevention of cardiovascular Hospitalization or death from any cause in patiENTs with Atrial fibrillation/atrial flutter (ATHENA), a composite of first CV hospitalization or death from any cause, was significantly reduced by dronedarone. This post hoc analysis evaluated the secondary endpoint of CV hospitalization and the clinical benefit of dronedarone on the number and duration of CV hospitalizations in patients with atrial fibrillation (AF). METHODS AND RESULTS: ATHENA was a double-blind, parallel group study in 4628 patients with a history of paroxysmal/persistent AF and additional risk factors, treated with placebo or dronedarone. Dronedarone treatment significantly reduced the risk of first CV hospitalization (P < 0.0001 vs. placebo), while the risk of first non-CV hospitalization was similar in both groups (P = 0.77). About half of the CV hospitalizations were AF-related, with a median duration of hospital stay of four nights. The risk of any hospitalization for AF [hazard ratio (95% confidence interval) 0.626 (0.546-0.719)] and duration of hospital stay were significantly reduced by dronedarone (P < 0.0001 vs. placebo). Dronedarone treatment reduced total hospitalizations for acute coronary syndrome (P = 0.0105) and the time between the first AF/atrial flutter recurrence and CV hospitalization/death (P = 0.0048). Hospitalization burden was significantly reduced across all levels of care (P < 0.05). Cumulative incidence data indicated that the effects of dronedarone persisted for at least 24 months. CONCLUSION: Dronedarone reduced the risk for CV hospitalization and the total hospitalization burden in this patient group. The trial is registered under ClinicalTrials.gov #NCT 00174785.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".