Thromboembolic episodes related to atrial arrhythmias in adults with transposition of great arteries
Bibliographic record
Abstract
Atrial arrhythmias (AA) are common in adults with congenital heart disease (ACHD). Although Intra-atrial Reentrant Tachycardia (IART) is well described in ACHD, Atrial Fibrillation (AF) is uncommon, but increasingly recognized. Patients with Transposition of the Great Arteries (TGA) and congenitally corrected-TGA (CC-TGA) have a high burden of AA at a relatively young age. However, long-term data of AA and associated thromboembolic risk are lacking in these patients. The prevalence, associated clinical factors, and complications of AA in a longitudinal TGA cohort was studied. A retrospective cohort study of all TGA patients from a single tertiary care centre was conducted. Data regarding documented atrial arrhythmias, thromboembolic events, and factors associated with thromboembolism were extracted and analyzed. Mean values and standard deviations were calculated for normally distributed continuous variables. When frequencies and means were compared, the chi-squared test and student t-test were used, respectively. One-hundred twenty-five patients with TGA (76 TGA, 49 CC-TGA) were followed for a mean of 20.8 ± 13.2 years. AF was confirmed in 20% (n = 25) and there were 5 (20%) thromboembolic complications within the AF population. AF was associated with an annual thromboembolic event rate of 2.7%/year (stroke/transient ischemic attack 1.7%, systemic embolism 1.0%). AF is relatively common in the TGA ACHD population in long-term follow up. Although annual risk of thromboembolism is low in this young group of patients, life-time cumulative risk is potentially high. TGA patients should be screened actively for AF and appropriate anticoagulation therapy initiated. It is unclear if established risk prediction scores in other non-valvular AF populations may be applicable to this cohort.
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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 | 0.003 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".