Routine Coronary Angiography in Adults Undergoing Percutaneous Atrial Septal Defect Closure: Implications for Practice Guidelines
Bibliographic record
Abstract
OBJECTIVES Secundum atrial septal defect (ASD) is a common adult congenital heart lesion for which percutaneous closure offers treatment in patients with suitable anatomy. We sought to determine the outcomes of coronary angiography in a population of adults >40 years of age who were undergoing percutaneous ASD closure. METHODS Patients >40 years of age who underwent ASD closure between 2009-2016 were included in this retrospective chart review. Coronary angiograms were reviewed by 2 independent reviewers to evaluate the presence and degree of coronary artery disease (CAD) and the resulting clinical sequelae. RESULTS A total of 398 patients underwent ASD closure, and 300 had coronary angiography at the time of closure. Mild CAD (10%-39% vessel stenosis) was found in 33 patients (11.0%), moderate CAD (40%-69% vessel stenosis) in 23 patients (7.7%), and severe CAD (≥70% vessel stenosis) in 25 patients (8.3%). Of the 48 patients with moderate to severe CAD, 24 had proximal vessel disease and 21 had multivessel disease. Four patients (8.3%) with moderate to severe CAD subsequently underwent percutaneous interventions, 16 patients (33.3%) had medication changes, 16 patients (33.3%) had perfusion testing followed by medication changes, and 12 patients (25%) had no changes in their medical management. CONCLUSIONS Given the prevalence of CAD in this population, routine coronary angiography at the time of ASD closure should be reserved for patients with an unfavorable cardiovascular risk profile, who have a higher likelihood of CAD. While patients with ASDs suffer from chest pain and dyspnea both before and after percutaneous closure, few have established CAD.
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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 | 0.003 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".