論文公表
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Profiles and Prognostic Value of a Non-Invasive Liver Fibrosis Marker in Patients With Acute and Chronic Coronary Syndrome ― Insights From the CLIDAS-PCI ―
- CITATION:
- Circulation Reports. 2026;CR-26-0144.
- AUTHORS:
- Saitoh W, Shimada T, Fukuda D, Shibata A, Ito A, Otsuka K, Okamura H, Matoba T, Kohro T, Oba Y, Makimoto H, Kabutoya T, Imai Y, Kario K, Kiyosue A, Kodera S, Mizuno Y, Nochioka K, Nakayama M, Iwai T, Miyamoto Y, Ishii M, Nakamura T, Tsujita K, Sato H, Akashi N, Fujita H, Nagai R.; on behalf of the CLIDAS Research Group.
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Development and External Validation of a Machine Learning-Based Bleeding Risk Score for Patients Undergoing Percutaneous Coronary Intervention
- CITATION:
- Circulation Reports. 2026;CR-26-0116.
- AUTHORS:
- Tokai T, Ishii M, Ikebe S, Nakamura T, Tsujita K, Akashi N, Fujita H, Nakano Y, Matoba T, Kohro T, Oba Y, Makimoto H, Kabutoya T, Kario K, Imai Y, Kodera S, Kiyosue A, Mizuno Y, Nochioka K, Nakayama M, Iwai T, Miyamoto Y, Sato H, Nagai R.; on behalf of the CLIDAS Research Group.
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Predicting Left Ventricular Ejection Fraction Recovery After Percutaneous Coronary Intervention in Patients With Chronic Coronary Syndrome by Using Interpretable Machine Learning Models: Retrospective Study
- CITATION:
- JMIR Med Inform. 2025;13:e77839.
- AUTHORS:
- Ding J, Lyu G, Nakayama M, Nochioka K, Takahashi J, Yasuda S, Matoba T, Kohro T, Akashi N, Fujita H, Oba Y, Kabutoya T, Kario K, Imai Y, Kiyosue A, Mizuno Y, Iwai T, Miyamoto Y, Ishii M, Tsujita K, Nakamura T, Sato H, Nagai R.
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Retrospective observational analysis of prasugrel dosage after percutaneous coronary intervention using the Clinical Deep Data Accumulation System database
- CITATION:
- Global Health & Medicine. 2026;8:39-52.
- AUTHORS:
- Hiroi Y, Shimizu Y, Uemura Y, Kajikawa I, Matsuo R, Yamamoto M, Hara H, Kodera S, Kiyosue A, Mizuno Y, Miyamoto Y, Nakayama M, Matoba T, Ishii M, Tsujita K, Sakata Y, Kabutoya T, Kario K, Imai Y, Makimoto H, Kohro T, Akashi N, Fujita H, Nagai R.
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Subgroup-specific correlation between systolic blood pressure and mortality in patients with coronary artery disease undergoing percutaneous coronary intervention
- AUTHORS:
- Sakamoto D, Sotomi Y, Okada K, Konishi S, Takeda T, Sakata Y, Matoba T, Kohro T, Oba Y, Kabutoya T, ImaiY, Kario, Kiyosue A, Mizuno Y, Nochioka K, Nakayama M, Iwai T, Miyamoto Y, Ishii M, Nakamura T, Tsujita K, Sato H, Akashi N, Fujita H, Nagai R.
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Predicting Left Ventricular Ejection Fraction Recovery After Percutaneous Coronary Intervention in Patients with Chronic Coronary Syndrome Using Interpretable Machine Learning Models: A Retrospective Study
- CITATION:
- JMIR Medical Informatics
- AUTHORS:
- Ding J, Lyu G, Nakayama M, Nochioka K, Takahashi J, Matoba T, Kohro T, Akashi N, Fujita H, Oba Y, Kabutoya T, Imai Y, Kario K, Kiyosue A, Mizuno Y, Iwai T, Miyamoto Y, Ishii M, Nakamura T, Tsujita K, Sato H, Yasuda S, Nagai R, on behalf of the CLIDAS research group.
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Reply to “Reframing the CHADS-P2A2RC score in chronic coronary syndrome: From ischemic risk stratification to a signal for caution”
- AUTHORS:
- Shimada T, Fukuda D, Matoba T, Nagai R.
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Usefulness of the AHEAD Score for Prediction of All-cause Death in Patients With Acute and Chronic Coronary Syndromes
- AUTHORS:
- Tamaki S, Higaki A, Kawakami H, Nishimura K, Inoue K, Ikeda S, Yamaguchi O, Akashi N, Matoba T, Kohro T, Kabutoya T, Kario K, Kiyosue A, Nakayama M, Miyamoto Y, Tsujita K, Fujita H, Nagai R.
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Efficacy and Safety of High-intensity Statins in Japanese Patients after Percutaneous Coronary Intervention:Insights from the Clinical Deep Data Accumulation System (CLIDAS®)
- CITATION:
- Circ J. 2025;89:1204-1215.
- AUTHORS:
- Matoba T, Katsuki S, Nakano Y, Kawahara T, Kimura M, Hino R, Tabuchi T, Fukata M, Hieda M, Yamashita T, Nakashima N, Kohro T, Kabutoya T, oba Y, Kario K, Imai Yasushi, Fujita H, Akashi N, Kiyosue A, Mizuno Y, Kodera S, Nakayama M, Nochioka K, Miyamoto Y, Iwai T , Tsujita K, Nakamura T, Ishii M, Sato H, Matoba Y, Nagai R.
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Long-term bleeding events post-percutaneous coronary intervention in patients with malignancy with and without anticoagulant therapy
- AUTHORS:
- Otsuka Y, Ishii M, Ikebe S, Tokai T, Nakamura T, Tsujita K, Akashi N, Fujita H, Nakano Y, Matoba T, Kohro T, Oba Y, Kabutoya T, Kario K, Imai Y, Kiyosue A, Mizuno Y, Nochioka K, Nakayama M, Iwai T, Miyamoto Y, Sato H, Nagai R.
学会発表
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Impact of “Full Moon” Calcification Assessed by Preprocedural Cardiac Computed Tomography on Guidewire Crossing in Percutaneous Coronary Intervention for Chronic Total Occlusion: FULL MOON Registry
- AUTHORS:
- Y. Nakano, K. Kurogi, E. Tsuchikane, T. Nagata, T. Kawasaki, S. Matsuno, K. Shimoji, H. Katoh, K. Hasegawa, M. Okutsu, K. Tanaka, T. Serikawa, Y. Suzuka, K. Abe, T. Matoba
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Artificial intelligence-enhanced electrocardiography for early detection of ventricular dysfunction
- AUTHORS:
- Kodera S
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A Deep Learning Model to Predict Atherectomy Device Use During PCI from Preprocedural CCTA
- AUTHORS:
- R. Hino, T. Matoba, I. Seo, K. Siku, G. Mizokami, T. Tabuchi, M. Kimura, Y. Nakano, S. Katsuki, K. Oi, R. Bise, K. Abe
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A Machine Learning-Based Lipoprotein(a) Cutoff for Prediction of Cardiovascular Events After Percutaneous Coronary Intervention in Japanese Patients
- AUTHORS:
- Mitsukuni Kimura1,2, Tomoyuki Kabutoya4, Yuri Takahashi 3, Kazuma Iekushi 3, Keita Yamashita5, Rissei Hino1, Takuya Tabuchi1, Genryu Mizokami1, Yasuhiro Nakano1, Shunsuke Katsuki1, Keiji Oi1, Ryozo Nagai4, Kohtaro Abe1, Tetsuya Matoba1
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Persistent inflammation after acute coronary syndrome identifies systemic vulnerability in a low inflammatory Japanese population: insights from the clinical deep data accumulation system (CLIDAS)
- AUTHORS:
- T. Tabuchi1, S. Katsuki1, G. Mizokami1, R. Hino1, M. Kimura1, Y. Nakano1, K. Oi1, K. Abe1, T. Matoba1
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Stroke Risk Reduction Associated With Strict Blood Pressure Control in Patients Aged ≥80 Years Who Underwent Catheter Revascularization
- AUTHORS:
- Fujiwara T, Kabutoya T, Kohro T, Imai Y, Kario K, Fujita H, Akashi N, Nakayama M, Kiyosue A, Mizuno Y, Miyamoto Y, Tsujita K, Matoba T, Nagai R.
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Impact of CKD severity and protective effect of hemodialysis on cardiovascular events in patients who underwent PCI: insights from the CLIDAS-PCI database
- AUTHORS:
- G. Mizokami, S. Katsuki, T. Tabuchi, R. Hino, M. Kimura, Y. Nakano, K. Oi, K. Abe, T. Kohro, H. Fujita, T. Kabutoya, S. Kodera, M. Nakayama, R. Nagai, T. Matoba
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冠動脈CT画像AIによるCT-guided PCIコンセプトの深化
- AUTHORS:
- 日野立誠1 、的場哲哉1、瀬尾惟周2、志久開人2、眞柴貴久1、溝上玄龍1、 田渕拓也1、仲野泰啓1、香月俊輔1、備瀬竜馬2、阿部弘太郎1 1)九州大学循環器内科 2)九州大学システム情報科学研究院
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CLIDASリアルワールドデータを用いたPCI施行患者におけるCKD stage別予後解析
- AUTHORS:
- 溝上玄龍
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マルチモーダル循環器AI
- AUTHORS:
- 小寺聡