ClinicalTrials.gov
public full text
Public Domain
The xDAPT External Validation Study
Dual antiplatelet therapy (DAPT) is routinely recommended after percutaneous coronary intervention (PCI) with drug-eluting stent (DES) implantation to prevent thrombotic complications. However, DAPT is also associated with an increased risk of bleeding, which may have a similar or even greater impact on prognosis compared to recurrent ischemic events. To balance these risks, individualized risk stratification at the time of PCI is crucial for determining the optimal DAPT composition and duration, aiming to reduce thrombotic risk while minimizing bleeding complications. For this purpose, an artificial intelligence-based risk stratification tool (xDAPT, Abbott) was introduced and demonstrated strong clinical performance in its development study (ClinicalTrials.gov identifier: NCT06089304). This analysis aims to evaluate the performance of xDAPT in a real-world cohort of patients who underwent PCI over the past decade at a large urban center (Mount Sinai Hospital, New York).
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Sonolysis in Risk Reduction of Symptomatic and Silent Brain Infarctions During Coronary Stenting#1281446
- Table 3_Development and validation of an interpretable machine learning model for venous thromboembolism risk prediction in patients with lung cancer: a real-world study.docx#347350
- Biomarkers of Clopidogrel Resistance for Predicting Ischemic Recurrence After Cerebral Artery Stenting#832780
- Which Platelet Function Test Best Reflects the In Vivo Plasma Concentrations of Ticagrelor and Its Active Metabolite?#1173203
- Pan-Cardio-Genetics Clot Assessment in Acute Coronary Syndromes#806034
Record · ID 1364623
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive