Session Details
[MO29]ACS 2
Fri. Jul 18, 2025 10:10 AM - 11:00 AM JST
Fri. Jul 18, 2025 1:10 AM - 2:00 AM UTC
Fri. Jul 18, 2025 1:10 AM - 2:00 AM UTC
Room 5 (11F,OICC)
Chair：Ken Ishibashi(Tsuchiya General Hospital, Japan), Masaharu Ishihara(Hyogo Medical University, Japan)
Commentators： Munemitsu Otagaki(Kansai Medical University Medical Center, Japan), Kajan Raj Shrestha(OM Hospital, Nepal)
Commentators： Munemitsu Otagaki(Kansai Medical University Medical Center, Japan), Kajan Raj Shrestha(OM Hospital, Nepal)
[MO29-1]A counterfactual machine learning model study to estimate the impact of coronary angiography for out of hospital cardiac arrest
Yasuhito Kawagoe (Department of Cardiology, St.Marianna University School of Medicine, Japan)
[MO29-2]In-hospital mortality for elderly patients with AMI complicated by cardiogenic shock who underwent emergent PCI :data form the K-ACTIVE registry
Yusuke Hosokawa1
Kuniya Asai2, Atsuo Maeda3, Yoshihiro Akashi4, Ako Junya5, Yuji Ikari6, Toshiaki Ebina7, Kouichi Tamura8, Atsuo Namiki9, Kiyoshi Hibi10, Kazuki Fukui11, Ichiro Michishita12, Kazuo Kimura13, Hiroshi Suzuki14 (1.Department of Cardiology, Nippon Medical School Musashi-kosugi Hospital, Japan, 2.Department of Cardiovascular Medicine, Nippon Medical School, 3.Department of Emergency and Disaster Medicine, Showa University Fujigaoka Hospital, 4.Department of Cardiology, St.Marianna University School of Medicine, 5.Division of Cardiology, Kitasato University School of Medicine, 6.Division of Cardiology, Tokai University School of Medicine, 7.Clinical laboratory center, Yokohama City University Medical Center, 8.Department of Medical Science and Cardiorenal Medicine, Yokohama City University Graduate School of Medicine, 9.Division of Cardiology, Kanto Rosai Hospital, 10.Department of Cardiology, Yokohama City University Graduate School of Medicine, 11.Division of Cardiology, Kanagawa Cardiovascular and Respiratory Center, 12.Division of Cardiology, Yokohama Sakae kyosai Hospital, 13.Yokosuka City Hospital, 14.Division of Cardiology, Showa University Fujigaoka Hospital)
Kuniya Asai2, Atsuo Maeda3, Yoshihiro Akashi4, Ako Junya5, Yuji Ikari6, Toshiaki Ebina7, Kouichi Tamura8, Atsuo Namiki9, Kiyoshi Hibi10, Kazuki Fukui11, Ichiro Michishita12, Kazuo Kimura13, Hiroshi Suzuki14 (1.Department of Cardiology, Nippon Medical School Musashi-kosugi Hospital, Japan, 2.Department of Cardiovascular Medicine, Nippon Medical School, 3.Department of Emergency and Disaster Medicine, Showa University Fujigaoka Hospital, 4.Department of Cardiology, St.Marianna University School of Medicine, 5.Division of Cardiology, Kitasato University School of Medicine, 6.Division of Cardiology, Tokai University School of Medicine, 7.Clinical laboratory center, Yokohama City University Medical Center, 8.Department of Medical Science and Cardiorenal Medicine, Yokohama City University Graduate School of Medicine, 9.Division of Cardiology, Kanto Rosai Hospital, 10.Department of Cardiology, Yokohama City University Graduate School of Medicine, 11.Division of Cardiology, Kanagawa Cardiovascular and Respiratory Center, 12.Division of Cardiology, Yokohama Sakae kyosai Hospital, 13.Yokosuka City Hospital, 14.Division of Cardiology, Showa University Fujigaoka Hospital)
[MO29-3]Invasive and Non-invasive Treatment Strategies in Patients With Spontaneous Coronary Artery Dissection
Ken Kato1
Kayo Yamamoto1, Rie Aoyama2, Shinichi Okino2, Wakabayashi Shinichi3, Yoshiaki Sakai3, Masayuki Takahara4, Masashi Yamamoto4, Hideki Kitahara1, Yoshio Kobayashi1 (1.Department of Cardiovascular Medicine, Chiba University Hospital, Japan, 2.Funabashi Municipal Medical Center, 3.Chiba Emergency and Psychiatric Medical Center, 4.Kimitsu Chuo Hospital)
Kayo Yamamoto1, Rie Aoyama2, Shinichi Okino2, Wakabayashi Shinichi3, Yoshiaki Sakai3, Masayuki Takahara4, Masashi Yamamoto4, Hideki Kitahara1, Yoshio Kobayashi1 (1.Department of Cardiovascular Medicine, Chiba University Hospital, Japan, 2.Funabashi Municipal Medical Center, 3.Chiba Emergency and Psychiatric Medical Center, 4.Kimitsu Chuo Hospital)
[MO29-4]AI-Driven Prediction of Post-AMI Outcomes: Integrating Clinical and
Pharmacological Insights Across Multiple Hospitals
Wan-Ying Lin1
Bu-Yuan Hsiao2 (1.Taipei Medical University, Taiwan, R.O.C., 2.Taipei Medical University Hospital, Taiwan, R.O.C.)
Bu-Yuan Hsiao2 (1.Taipei Medical University, Taiwan, R.O.C., 2.Taipei Medical University Hospital, Taiwan, R.O.C.)