P871Coronary artery aneurysms: clinical features, management and long-term outcomes, insights from the international coronary artery aneurysm registry (CAAR)
Bibliographic record
Abstract
Abstract Background Coronary Aneurysms are a focal dilatation of an artery segment of >1.5-fold the normal size of adjacent segments. Some limited series suggested an incidence of 0.3–12%. However, coronary aneurysms are not mentioned in practice guidelines and several questions remain unanswered. Purpose To investigate its clinical profile, prognostic predictors, and long term outcomes. Methods The coronary artery aneurysm registry (CAAR, NCT02563626) is a collaborative effort involving 32 hospitals across 9 countries (Canada, Cuba, Czech Republic, Germany, Italy, Netherlands, Spain, USA and Uruguay). When eligibility was uncertain, cases were reviewed by a core lab. Results We reviewed 436,467 consecutive angiographies between 2004–2016. 1,565 patients were ambispectively included. Global incidence was 0.35%. Most were male (78.5%) with a mean age of 65 years. Cardiovascular risk factors were frequent. An aortopathy history was present in 8.7% but a Kawasaki antecedent was unfrequent (0.3%). The main indication for cath was an ACS in 966 cases. Most aneurysms were saccular and 82 giant. The number of aneurisms was low, mainly with 1–2 (95.8%) and only 3 patients with ≥6, proportionally with more coronary stenosis. The most affected artery was the LAD. Aortopathy was related with higher number of aneurysms. Most received any revascularization, commonly percutaneous (PCI). During a follow-up of 37.2 months, 485 suffered a MACE, (death/heart failure/unstable angina/reinfarction) and 240 died. Age, race, diabetes, renal failure, peripheral disease, acute cath, coronary stenosis, LVEF and anticoagulation remained as predictors of death/MACE after multivariate adjustments, without no major differences comparing CABG vs PCI. No restenosis was found in aneurysm with DES but those with BMS suffered 4 (p=0.002). MACE and death were more frequent in patients who received BMS. Figure 1 Conclusions Coronary aneurysmal disease is not uncommon. It is associated with severe coronary stenosis and a high cardiovascular risk burden, pointing out an aggressive atherosclerotic status. Antiplatelet therapy is a reasonable option and interventional procedures safe and effective, compared with surgery. Drug eluting stents should be preferred as the default strategy. Acknowledgement/Funding None
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.001 | 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".