Presentation and management of acute coronary syndromes among adult persons with haemophilia: results of an international, retrospective, 10‐year survey
Bibliographic record
Abstract
Sparse data are available on presentation and management of acute coronary syndromes (ACS), including unstable angina and non-ST- and ST-elevation myocardial infarction, among persons with haemophilia (PWH). The aim of this study was to determine demographics, bleeding disorder characteristics, cardiovascular risk factors (CRFs), interventions, haemostatic protocol, revascularization outcomes and complications among PWH with ACS. Members of an international consortium comprising >2000 adult PWH retrospectively completed case report forms for episodes of ACS in a >10-year follow-up period (2003-2013). Twenty ACS episodes occurred among 19 patients [rate, 0.8% (95% CI 0.4, 1.2)]. Seven patients (37%) were aged <50 years; 10 (53%) had ≥3 CRFs. In 5/20 episodes (25%), the initial ACS management protocol was altered because of the bleeding disorder. None of the eight patients with severe haemophilia underwent coronary artery bypass grafting (CABG), compared with 54.5% of patients with non-severe disease (P = 0.02). Revascularization with percutaneous coronary intervention (PCI) or CABG was rated successful in 13/13 cases, with no excessive bleeding during initial management. During chronic exposure to antiplatelet agents, secondary haemophilia prophylaxis was more prevalent in patients with severe haemophilia compared with non-severe haemophilia (85.7% vs. 30%, P = 0.05). No ACS-related deaths occurred during initial management, but one patient with severe haemophilia A died of undetermined cause 36 months after the ACS event while on aspirin therapy. ACS occurs even among relatively younger PWH, typically in association with multiple CRFs. Revascularization with PCI/CABG is feasible, and antiplatelet agents plus secondary prophylaxis appears to be well tolerated in selected PWH with ACS.
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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 | 0.000 | 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".