Abstract 14789: Atrial Anatomical Variations Between Atrial Fibrillation Patients Compared to Other Subjects Without Atrial Fibrillation
Bibliographic record
Abstract
Introduction: In this study, we evaluated the anatomical atrial variations using gated cardiac computed tomography (CCT) between patients with and without atrial fibrillation (AF). Hypothesis: The aim of the study is to evaluate if there are specific anatomical characteristics that are associated with poor clinical outcomes following ablation in patients with AF. Methods: We retrospectively included 502 CCT scans of patients with AF prior to their pulmonary vein isolation procedure, and 1058 CCT scans of patients without AF performed to evaluate pulmonary vein anatomy and to rule out coronary artery disease between 2014 to 2017. Anatomical variations of the atria and interatrial septum included the Bachman bundle shunt (BBS - defined as a vascular channel crossing between the atria through the Bachman bundle), and atrial diverticulae. Results: Five-hundred and two patients with AF were older (67±14 vs. 63±13 years, P = 0.039), had a higher prevalence of diabetes mellitus (24.4% vs 14.7%, p = 0.006), and cerebrovascular disease (3.8% vs. 0.9%, p = 0.044) compared to patients without AF. Furthermore, CCTs analysis of AF patients demonstrated a significantly higher prevalence of BBS: (11% vs 4.1%, p <0.0001, left atrial diverticula (19% vs 7.7%), p <0.0001, and right atrial diverticula (9.8% vs 2.1%), P <0.0001 compared to patients without AF. Conclusions: This study is the first to analyze BBS and atrial diverticular prevalence in patients using CCT. We found that patients with AF are associated with a higher prevalence of structural atrial abnormalities including BBS, left and right atrial diverticula in comparison to individuals with no previous history of AF. Whether these anatomical variations influence AF incidence or AF recurrence after catheter ablation is yet to be determined.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.003 | 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".