Predicting Individual Treatment Effects to Determine Duration of Dual Antiplatelet Therapy After Stent Implantation.

Journal: Journal of the American Heart Association
PMID: 39344653

Abstract

BACKGROUND: After coronary stent implantation, prolonged dual antiplatelet therapy (DAPT) increases bleeding risk, requiring personalization of DAPT duration. The aim of this study was to develop and validate a machine learning model to predict optimal DAPT duration after contemporary drug-eluting stent implantation in patients with coronary artery disease.

Authors

  • Seung-Jun Lee
    Division of Cardiology, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
  • Jaehyeong Cho
    Department of Research Keimyung University Dongsan Medical Center Daegu South Korea.
  • Jihye Shin
    Department of Research Health Insurance Review & Assessment Service Wonju South Korea.
  • Sung-Jin Hong
    Division of Cardiology, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
  • Chul-Min Ahn
    Division of Cardiology, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
  • Jung-Sun Kim
    College of Pharmacy, Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul 03760, Korea.
  • Young-Guk Ko
    Division of Cardiology, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
  • Donghoon Choi
    Division of Cardiology, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
  • Myeong-Ki Hong
    Division of Cardiology, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
  • Seng Chan You
    Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, South Korea.
  • Byeong-Keuk Kim
    Division of Cardiology, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.

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