Increasing age and atrial arrhythmias are associated with increased thromboembolic events in a young cohort of adults with repaired tetralogy of Fallot
Bibliographic record
Abstract
Abstract Background Adults with repaired Tetralogy of Fallot (rTOF) comprise one of the largest cohorts among adults with congenital heart disease (ACHD). These patients have a higher burden of atrial arrhythmias (AA), leading to increased adverse events, including stroke and transient ischemic attack (TIA). However, the data on factors associated with stroke/TIA in rTOF are limited, and classic risk factors may not apply. We studied event rates and associated factors for thromboembolism in a rTOF cohort. Methods Retrospective cohort study of all adult patients age >18 years with rTOF followed at a single ACHD tertiary care center. AA of interest were atrial fibrillation (AF) and atrial flutter (AFL). Results Data from 260 patients were identified, mean age 37.6 SD 13.3 years, followed over 5108 patient‐years (mean 16.6 SD 8.2 years). 43 patients had AF and/or AFL, and 30 patients had thromboembolic events, of which 19 patients had stroke/TIA. The event rate for any thromboembolism was 3.39 per 100 patient‐years follow‐up in patients with AA, compared to 1.80 in patients without (P = .07). In univariate analysis, older age and diabetes were associated with thromboembolic events. In multivariate analysis, only older age was associated with thromboembolic events. Conclusions In our relatively young cohort of adults with rTOF, there was a high prevalence of AA, associated with nearly double the rate of thromboembolic events compared to patients without AA. Older age alone is independently associated with thromboembolic events. Further studies into assessment of silent AA are required, and routine assessments should be considered at an earlier age.
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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 | 0.002 |
| 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 | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".