A contemporary presentation of the incidence and management of spontaneous coronary artery dissection (SCAD) in New Zealand: an ANZACS-QI study
Bibliographic record
Abstract
Abstract Background/Purpose Spontaneous coronary artery dissection (SCAD) is an underdiagnosed and poorly understood condition that frequently affects younger women without cardiovascular risk factors. In this project we aimed to describe the present landscape of SCAD in New Zealand (NZ). Methods All patients in NZ who were admitted to hospital with a diagnosis of Acute Coronary Syndrome (ACS) from July 2019 to December 2020 and underwent coronary angiography were identified from the All NZ Coronary Syndrome Quality Imporvment (ANZACS-QI) registry. Results Of 12,053 patients admitted to hospital with an ACS, 122 had SCAD (1.0%). 80% of those with SCAD were female, with mean age of 57 years, and fewer traditional cardiovascular risk factors. Non-ST elevation myocardial infarction was the most common presentation (82.0%), while 16.4% presented with ST elevation myocardial infarction. The majority of patients were managed conservatively (91.8%) while 8.2% underwent PCI. 56.6% of SCAD patients had normal LV function. Nearly 80% of patients were discharged on Acetylsalicylic acid (ASA) therapy, while 60.7% had a P2Y12 inhibitor. Beta blockers, Statins and ACEI/ARB were part of the management strategy in 62.5%, 59.8% and 42.6% of patients respectively while 47.5% had a combination of all 3. Amongst 122 patients, only 1 in-hospital death and 1 inpatient recurrent MI occurred, with 3 patients having bleeding of any kind. Conclusion In NZ, incidence of SCAD is approximately 1%. Most patients affected in NZ are female with fewer traditional cardiovascular risk factors. Management is predominantly conservative, and there is a low rate of early adverse outcomes. Funding Acknowledgement Type of funding sources: None.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".