Clinical correlates of immediate success and outcome at 1-year follow-up of real-world cardioversion of atrial fibrillation: the Euro Heart Survey
Bibliographic record
Abstract
AIMS: In atrial fibrillation (AF) cardioversion is the cornerstone of the rhythm management strategy despite the lack of contemporary data on acute and long-term success. We aim to describe present-day cardioversion of AF and identify characteristics associated with immediate and long-term outcome. METHODS AND RESULTS: Based on the 5333 AF patients enrolled in the multi-centre prospective Euro Heart Survey on AF we selected the 1801 patients undergoing cardioversion at enrolment. Sinus rhythm (SR) was restored in 630 of 712 (88%), 458 of 643 (71%), and 333 of 446 (75%) (P< 0.001) of the electrical (ECV), intravenous (ivCCV), and oral (oCCV) chemical cardioversions, respectively, at the cost of few (4.2%) major complications. In multivariate analysis, absence of chronic obstructive pulmonary disease (COPD) (P< 0.001), presence of paroxysmal AF (PAF) (P= 0.013), and use of biphasic waveform (P= 0.018) were predictors of successful ECV. For ivCCV PAF (P< 0.001), absence of valvular heart disease (P= 0.004), and heart failure (P= 0.009), the presence of hypertension (P= 0.018) and coronary artery disease (P= 0.007) were predictive. Success of oCCV was driven by PAF (P< 0.001) and a smaller left atrial dimension (P= 0.001). At 1-year follow-up 893 of 1271 (70%) patients were in SR. Multivariate analysis revealed PAF (P< 0.001), shorter total AF history (P< 0.001), continuous use of Class Ic drugs or amiodarone during follow-up (P< 0.001), absence of COPD (P= 0.003), younger age (P= 0.004), and smaller left atrial dimension (P= 0.005) as independent predictors of SR at 1-year follow-up. CONCLUSIONS: Contemporary cardioversion of AF is routinely successfully and safely performed with a high proportion of patients in SR at 1-year follow-up.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".