Bivalirudin Versus Heparin During Percutaneous Coronary Intervention in Patients With Acute Myocardial Infarction
Bibliographic record
Abstract
BACKGROUND: The aim of the study was to compare the efficacy and safety of bivalirudin versus unfractionated heparin (UFH) in patients with acute myocardial infarction who undergo percutaneous coronary intervention (PCI). Earlier trials comparing bivalirudin and UFH during PCI demonstrated that bivalirudin caused less bleeding with more stent thrombosis. Since then, adjunct antiplatelet strategies have evolved. Improved upstream platelet inhibition with potent P2Y12 inhibitors decreased the need for routine glycoprotein IIb/IIIa inhibitor (GPI), resulting in similar outcomes among UFH and bivalirudin. Therefore, the role of bivalirudin in modern PCI practices is questionable. METHODS: We utilized Cochrane Review Manager (RevMan) 5.3 to perform a meta-analysis of seven randomized controlled trials (RCTs) with 22,844 patients to compare bivalirudin to UFH in patients with acute myocardial infarction requiring revascularization. RESULTS: There was no difference between bivalirudin and UFH regarding major adverse cardiac events (MACE), risk ratio (RR) 0.99, 95% confidence interval (CI) 0.87 - 1.12; P = 0.83) or cardiovascular mortality (RR 0.87, 95% CI 0.71 - 1.07; P = 0.18). Bivalirudin increased acute stent thrombosis (RR 2.77, 95% CI 1.49 - 5.13; P = 0.001), which was only significant among ST-elevation myocardial infarction (STEMI) only trials. Bivalirudin caused less major bleeding (RR 0.66, 95% CI 0.49 - 0.90; P = 0.007), which was negated when GPI was used provisionally (RR 0.93, 95% CI 0.64 - 1.33; P = 0.67). CONCLUSIONS: Among patients with acute myocardial infarction who underwent PCI, bivalirudin and UFH demonstrated similar MACE and cardiovascular mortality. Bivalirudin increased acute stent thrombosis, which was more remarkable among STEMI. Bivalirudin decreased major bleeding, but this benefit was negated when GPI was used provisionally.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".