Antithrombotic Therapy in Patients With Atrial Fibrillation Treated With Oral Anticoagulation Undergoing Percutaneous Coronary Intervention
Bibliographic record
Abstract
A growing number of patients undergoing percutaneous coronary intervention (PCI) with stent implantation also have atrial fibrillation. This poses challenges for their optimal antithrombotic management because patients with atrial fibrillation undergoing PCI require oral anticoagulation for the prevention of cardiac thromboembolism and dual antiplatelet therapy for the prevention of coronary thrombotic complications. The combination of oral anticoagulation and dual antiplatelet therapy substantially increases the risk of bleeding. Over the last decade, a series of North American Consensus Statements on the Management of Antithrombotic Therapy in Patients with Atrial Fibrillation Undergoing Percutaneous Coronary Intervention have been reported. Since the last update in 2018, several pivotal clinical trials in the field have been published. This document provides a focused updated of the 2018 recommendations. The group recommends that in patients with atrial fibrillation undergoing PCI, a non–vitamin K antagonist oral anticoagulant is the oral anticoagulation of choice. Dual antiplatelet therapy with aspirin and a P2Y 12 inhibitor should be given to all patients during the peri-PCI period (during inpatient stay, until time of discharge, up to 1 week after PCI, at the discretion of the treating physician), after which the default strategy is to stop aspirin and continue treatment with a P2Y 12 inhibitor, preferably clopidogrel, in combination with a non–vitamin K antagonist oral anticoagulant (ie, double therapy). In patients at increased thrombotic risk who have an acceptable risk of bleeding, it is reasonable to continue aspirin (ie, triple therapy) for up to 1 month. Double therapy should be given for 6 to 12 months with the actual duration depending on the ischemic and bleeding risk profile of the patient, after which patients should discontinue antiplatelet therapy and receive oral anticoagulation alone.
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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) | 0.001 | 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 | 0.000 |
| 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".