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The xDAPT External Validation Study

Icahn School of Medicine at Mount Sinai · 2012
ClinicalTrials.gov · Datasets · License: Public Domain · 2012
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coronary-artery-diseasepercutaneous-coronary-intervention
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).
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