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1. Uplift modeling to identify patients who require extensive catheter ablation procedures among patients with persistent atrial fibrillation

Author

Sato, Taiki, Sotomi, Yohei, Hikoso, Shungo, Kitamura, Tetsuhisa, Nakatani, Daisaku, Okada, Katsuki, Dohi, Tomoharu, Sunaga, Akihiro, Kida, Hirota, Matsuoka, Yuki, Tanaka, Nobuaki, Watanabe, Tetsuya, Makino, Nobuhiko, Egami, Yasuyuki, Oka, Takafumi, Minamiguchi, Hitoshi, Miyoshi, Miwa, Okada, Masato, Kanda, Takashi, Matsuda, Yasuhiro, Kawasaki, Masato, Masuda, Masaharu, Inoue, Koichi, and Sakata, Yasushi

Published
2024
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2. β-blockers may be detrimental in frail patients with heart failure with preserved ejection fraction

Author

Hikoso, Shungo, Kida, Hirota, Sunaga, Akihiro, Nakatani, Daisaku, Okada, Katsuki, Dohi, Tomoharu, Sotomi, Yohei, Oeun, Bolrathanak, Sato, Taiki, Matsuoka, Yuki, Kitamura, Tetsuhisa, Yamada, Tomomi, Kurakami, Hiroyuki, Tamaki, Shunsuke, Seo, Masahiro, Yano, Masamichi, Hayashi, Takaharu, Nakagawa, Akito, Nakagawa, Yusuke, Yamada, Takahisa, Yasumura, Yoshio, and Sakata, Yasushi

Published
2024
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4. The efficacy and safety of adaptive servo-ventilation therapy for heart failure with preserved ejection fraction

Author

Kida, Hirota, Hikoso, Shungo, Uruno, Tatsuhiko, Kusumoto, Shigetaka, Yamamoto, Keiji, Matsumoto, Hirofumi, Abe, Akimasa, Kato, Daizo, Uza, Eiji, Doi, Takashi, Iwamoto, Tadashi, Kurakami, Hiroyuki, Yamada, Tomomi, Kitamura, Tetsuhisa, Matsuoka, Yuki, Sato, Taiki, Sunaga, Akihiro, Oeun, Bolrathanak, Kojima, Takayuki, Sotomi, Yohei, Dohi, Tomoharu, Okada, Katsuki, Suna, Shinichiro, Mizuno, Hiroya, Nakatani, Daisaku, and Sakata, Yasushi

Published
2023
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5. Extensive ablation for persistent atrial fibrillation patients with mitral regurgitation: Insights from the EARNEST-PVI prospective randomized trial

Author

Sunaga, Akihiro, Matsuoka, Yuki, Nakatani, Daisaku, Okada, Katsuki, Kida, Hirota, Sakamoto, Daisuke, Kitamura, Tetsuhisa, Tanaka, Nobuaki, Masuda, Masaharu, Watanabe, Tetsuya, Minamiguchi, Hitoshi, Egami, Yasuyuki, Oka, Takafumi, Miyoshi, Miwa, Okada, Masato, Matsuda, Yasuhiro, Kawasaki, Masato, Inoue, Koichi, Hikoso, Shungo, Sotomi, Yohei, and Sakata, Yasushi

Published
2024
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6. Duration of atrial fibrillation persistence: Implications for recurrence risk after catheter ablation and efficacy of additional substrate ablation

Author

Matsuda, Yasuhiro, Masuda, Masaharu, Mano, Toshiaki, Inoue, Koichi, Matsumura, Yasushi, Kawasaki, Masato, Watanabe, Tetsuya, Yamada, Takahisa, Miyoshi, Miwa, Kanda, Takashi, Minamiguchi, Hitoshi, Makino, Nobuhiko, Higuchi, Yoshiharu, Matsunaga, Yasuharu, Egami, Yasuyuki, Nishino, Masami, Tanouchi, Jun, Sato, Taiki, Kida, Hirota, Sunaga, Akihiro, Nakano, Tomoaki, Ozu, Kentaro, Sotomi, Yohei, Dohi, Tomoharu, Okada, Katsuki, Oka, Takafumi, Takeda, Toshihiro, Nakatani, Daisaku, Hikoso, Shungo, Sakata, Yasushi, Tanaka, Nobuaki, Tanaka, Koji, Minamisaka, Tomoko, Hoshida, Shiro, Matsunaga-Lee, Yasuharu, Okada, Masato, Kawanami, Shodai, Ukita, Kohei, Kawamura, Akito, Yasumoto, Koji, Tsuda, Masaki, Okamoto, Naotaka, and Yano, Masamichi

Published
2024
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7. Extensive ablation for elderly patients with persistent atrial fibrillation: insights from the EARNEST-PVI prospective randomized trial

Author

Matsuoka, Yuki, Sotomi, Yohei, Hikoso, Shungo, Sunaga, Akihiro, Nakatani, Daisaku, Okada, Katsuki, Dohi, Tomoharu, Sato, Taiki, Kida, Hirota, Sakamoto, Daisuke, Kitamura, Tetsuhisa, Tanaka, Nobuaki, Masuda, Masaharu, Watanabe, Tetsuya, Minamiguchi, Hitoshi, Egami, Yasuyuki, Oka, Takafumi, Miyoshi, Miwa, Okada, Masato, Matsuda, Yasuhiro, Kawasaki, Masato, Inoue, Koichi, and Sakata, Yasushi

Published
2024
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9. Clinical trajectories and outcomes of patients with heart failure with preserved ejection fraction with normal or indeterminate diastolic function

Author

Oeun, Bolrathanak, Hikoso, Shungo, Nakatani, Daisaku, Mizuno, Hiroya, Kitamura, Tetsuhisa, Okada, Katsuki, Dohi, Tomoharu, Sotomi, Yohei, Kida, Hirota, Sunaga, Akihiro, Sato, Taiki, Matsuoka, Yuki, Kurakami, Hiroyuki, Yamada, Tomomi, Tamaki, Shunsuke, Seo, Masahiro, Yano, Masamichi, Hayashi, Takaharu, Nakagawa, Akito, Nakagawa, Yusuke, Yamada, Takahisa, Yasumura, Yoshio, and Sakata, Yasushi

Published
2023
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10. Individual acute-phase bleeding and thrombotic risk balance assessment in patients undergoing percutaneous coronary intervention for acute myocardial infarction

Author

Sotomi, Yohei, Hikoso, Shungo, Komukai, Sho, Kitamura, Tetsuhisa, Nakatani, Daisaku, Dohi, Tomoharu, Mizuno, Hiroya, Okada, Katsuki, Kida, Hirota, Oeun, Bolrathanak, Sunaga, Akihiro, Sato, Taiki, Matsuoka, Yuki, Sakata, Yasuhiko, Sato, Hiroshi, Hori, Masatsugu, Komuro, Issei, and Sakata, Yasushi

Published
2023
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11. Loop Diuretic Use is Associated With Adverse Clinical Outcomes in Acute Myocardial Infarction Patients With Low Volume Status

Author

Kawai, Tsutomu, Nakatani, Daisaku, Watanabe, Tetsuya, Yamada, Takahisa, Morita, Takashi, Sakata, Yasuhiko, Hikoso, Shungo, Mizuno, Hiroya, Suna, Shinichiro, Kitamura, Tetsuhisa, Okada, Katsuki, Dohi, Tomoharu, Sotomi, Yohei, Sunaga, Akihiro, Kida, Hirota, Oeun, Bolrathanak, Sato, Taiki, Sato, Hiroshi, Hori, Masatsugu, Komuro, Issei, Fukunami, Masatake, and Sakata, Yasushi

Published
2022
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12. Prognostic significance of intra-aortic balloon pumping support in patients with acute myocardial infarction and veno-arterial extracorporeal membrane oxygenation therapy

Author

Kida, Hirota, Sotomi, Yohei, Hikoso, Shungo, Nakatani, Daisaku, Mizuno, Hiroya, Suna, Shinichiro, Okada, Katsuki, Kitamura, Tetsuhisa, Komukai, Sho, Dohi, Tomoharu, Kojima, Takayuki, Oeun, Bolrathanak, Sunaga, Akihiro, Sato, Taiki, Sakata, Yasuhiko, Sato, Hiroshi, Hori, Masatsugu, Komuro, Issei, and Sakata, Yasushi

Published
2022
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13. Abdominal obesity, and not general obesity, is associated with a lower 123I MIBG heart-to-mediastinum ratio in heart failure patients with preserved ejection fraction

Author

Sunaga, Akihiro, Hikoso, Shungo, Yamada, Takahisa, Yasumura, Yoshio, Uematsu, Masaaki, Abe, Haruhiko, Nakagawa, Yusuke, Higuchi, Yoshiharu, Fuji, Hisakazu, Mano, Toshiaki, Kurakami, Hiroyuki, Yamada, Tomomi, Kitamura, Tetsuhisa, Sato, Taiki, Oeun, Bolrathanak, Kida, Hirota, Kojima, Takayuki, Sotomi, Yohei, Dohi, Tomoharu, Okada, Katsuki, Suna, Shinichiro, Mizuno, Hiroya, Nakatani, Daisaku, and Sakata, Yasushi

Published
2022
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14. Clinical impact of estimated plasma volume status and its additive effect with the GRACE risk score on in-hospital and long-term mortality for acute myocardial infarction

Author

Kawai, Tsutomu, Nakatani, Daisaku, Yamada, Takahisa, Sakata, Yasuhiko, Hikoso, Shungo, Mizuno, Hiroya, Suna, Shinichiro, Kitamura, Tetsuhisa, Okada, Katsuki, Dohi, Tomoharu, Kojima, Takayuki, Oeun, Bolrathanak, Sunaga, Akihiro, Kida, Hirota, Sato, Hiroshi, Hori, Masatsugu, Komuro, Issei, Tamaki, Shunsuke, Morita, Takashi, Fukunami, Masatake, and Sakata, Yasushi

Published
2021
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18. Duration of Atrial Fibrillation Persistence: Implications for Recurrence Risk after Catheter Ablation and Efficacy of Additional Substrate Ablation

Author

Matsunaga-Lee, Yasuharu, primary, Inoue, Koichi, additional, Tanaka, Nobuaki, additional, Masuda, Masaharu, additional, Watanabe, Tetsuya, additional, Makino, Nobuhiko, additional, Egami, Yasuyuki, additional, Oka, Takafumi, additional, Minamiguchi, Hitoshi, additional, Miyoshi, Miwa, additional, Okada, Masato, additional, Kanda, Takashi, additional, Matsuda, Yasuhiro, additional, Kawasaki, Masato, additional, Kawanami, Shodai, additional, Ukita, Kohei, additional, Kawamura, Akito, additional, Yasumoto, Koji, additional, Tsuda, Masaki, additional, Okamoto, Naotaka, additional, Yano, Masamichi, additional, Nishino, Masami, additional, Sunaga, Akihiro, additional, Sotomi, Yohei, additional, Dohi, Tomoharu, additional, Nakatani, Daisaku, additional, Hikoso, Shungo, additional, and Sakata, Yasushi, additional

Published
2024
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19. The Prognostic Impact of In-Hospital Major Bleeding and Recurrence of Myocardial Infarction during Acute Phase after Percutaneous Coronary Intervention for Acute Myocardial Infarction

Author

Matsuoka, Yuki, primary, Sotomi, Yohei, additional, Hikoso, Shungo, additional, Nakatani, Daisaku, additional, Okada, Katsuki, additional, Dohi, Tomoharu, additional, Kida, Hirota, additional, Oeun, Bolrathanak, additional, Sunaga, Akihiro, additional, Sato, Taiki, additional, Kitamura, Tetsuhisa, additional, Sakata, Yasuhiko, additional, Sato, Hiroshi, additional, Hori, Masatsugu, additional, Komuro, Issei, additional, and Sakata, Yasushi, additional

Published
2024
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20. Impact of left atrial appendage flow velocity on thrombus resolution and clinical outcomes in patients with atrial fibrillation and silent left atrial thrombi: insights from the LAT study.

Author

Okada, Masato, Inoue, Koichi, Tanaka, Nobuaki, Tanaka, Koji, Hirao, Yuko, Iwakura, Katsuomi, Egami, Yasuyuki, Masuda, Masaharu, Watanabe, Tetsuya, Minamiguchi, Hitoshi, Oka, Takafumi, Hikoso, Shungo, Sunaga, Akihiro, Okada, Katsuki, Nakatani, Daisaku, Sotomi, Yohei, Sakata, Yasushi, and Investigators, Osaka Cardiovascular Conference (OCVC)-Arrhythmia

Abstract

Aims Blood stasis is crucial in developing left atrial (LA) thrombi. LA appendage peak flow velocity (LAAFV) is a quantitative parameter for estimating thromboembolic risk. However, its impact on LA thrombus resolution and clinical outcomes remains unclear. Methods and results The LAT study was a multicentre observational study investigating patients with atrial fibrillation (AF) and silent LA thrombi detected by transoesophageal echocardiography (TEE). Among 17 436 TEE procedures for patients with AF, 297 patients (1.7%) had silent LA thrombi. Excluding patients without follow-up examinations, we enrolled 169 whose baseline LAAFV was available. Oral anticoagulation use increased from 85.7% at baseline to 97.0% at the final follow-up (P < 0.001). During 1 year, LA thrombus resolution was confirmed in 130 (76.9%) patients within 76 (34–138) days. Conversely, 26 had residual LA thrombi, 8 had thromboembolisms, and 5 required surgical removal. These patients with failed thrombus resolution had lower baseline LAAFV than those with successful resolution (18.0 [15.8–22.0] vs. 22.2 [17.0–35.0], P = 0.003). Despite limited predictive power (area under the curve, 0.659; P = 0.001), LAAFV ≤ 20.0 cm/s (best cut-off) significantly predicted failed LA thrombus resolution, even after adjusting for potential confounders (odds ratio, 2.72; 95% confidence interval, 1.22–6.09; P = 0.015). The incidence of adverse outcomes including ischaemic stroke/systemic embolism, major bleeding, or all-cause death was significantly higher in patients with reduced LAAFV than in those with preserved LAAFV (28.4% vs. 11.6%, log-rank P = 0.005). Conclusion Failed LA thrombus resolution was not rare in patients with AF and silent LA thrombi. Reduced LAAFV was associated with failed LA thrombus resolution and adverse clinical outcomes. [ABSTRACT FROM AUTHOR]

Published
2024
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21. Pathophysiological insights into machine learning-based subphenotypes of acute heart failure with preserved ejection fraction

Author

Sotomi, Yohei, primary, Tamaki, Shunsuke, additional, Hikoso, Shungo, additional, Nakatani, Daisaku, additional, Okada, Katsuki, additional, Dohi, Tomoharu, additional, Sunaga, Akihiro, additional, Kida, Hirota, additional, Sato, Taiki, additional, Matsuoka, Yuki, additional, Sakamoto, Daisuke, additional, Kitamura, Tetsuhisa, additional, Komukai, Sho, additional, Seo, Masahiro, additional, Yano, Masamichi, additional, Hayashi, Takaharu, additional, Nakagawa, Akito, additional, Nakagawa, Yusuke, additional, Ohtani, Tomohito, additional, Yasumura, Yoshio, additional, Yamada, Takahisa, additional, and Sakata, Yasushi, additional

Published
2023
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24. Abstract 14213: Different Prognostic Value of Proteinuria According to the Severity of Heart Failure in Patients With Heart Failure With Preserved Ejection Fraction

Author

Oeun, Bolrathanak, Hikoso, Shungo, Nakatani, Daisaku, Mizuno, Hiroya, Kitamura, Tetsuhisa, Okada, Katsuki, Dohi, Tomoharu, Sotomi, Yohei, Kida, Hirota, Sunaga, Akihiro, Sato, Taiki, Yamada, Takahisa, Yoshio, Yasumura, Nakagawa, Akito, Nakagawa, Yusuke, Tamaki, Shunsuke, Takaharu, Hayashi, Yano, Masamichi, and Sakata, Yasushi

Published
2020
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25. Abstract 14200: Prognostic Significance of Dipstick Proteinuria in Heart Failure With Preserved Ejection Fraction - Insight From the Pursuit-hfpef Registry

Author

Oeun, Bolrathanak, Hikoso, Shungo, Nakatani, Daisaku, Mizuno, Hiroya, Kitamura, Tetsuhisa, Okada, Katsuki, Dohi, Tomoharu, Sotomi, Yohei, Kida, Hirota, Sunaga, Akihiro, Sato, Taiki, Yamada, Takahisa, Yasumura, Yoshio, Nakagawa, Akito, Nakagawa, Yusuke, Tamaki, Shunsuke, Hayashi, Takaharu, Yano, Masamichi, and Sakata, Yasushi

Published
2020
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30. Pathophysiological insights into machine learning-based subphenotypes of acute heart failure with preserved ejection fraction

Author

Sotomi, Yohei, Tamaki, Shunsuke, Hikoso, Shungo, Nakatani, Daisaku, Okada, Katsuki, Dohi, Tomoharu, Sunaga, Akihiro, Kida, Hirota, Sato, Taiki, Matsuoka, Yuki, Sakamoto, Daisuke, Kitamura, Tetsuhisa, Komukai, Sho, Seo, Masahiro, Yano, Masamichi, Hayashi, Takaharu, Nakagawa, Akito, Nakagawa, Yusuke, Ohtani, Tomohito, Yasumura, Yoshio, Yamada, Takahisa, and Sakata, Yasushi

Abstract

ObjectiveThe heterogeneous pathophysiology of the diverse heart failure with preserved ejection fraction (HFpEF) phenotypes needs to be examined. We aim to assess differences in the biomarkers among the phenotypes of HFpEF and investigate its multifactorial pathophysiology.MethodsThis study is a retrospective analysis of the PURSUIT-HFpEF Study (N=1231), an ongoing, prospective, multicentre observational study of acute decompensated HFpEF. In this registry, there is a predefined subcohort in which we perform multibiomarker tests (N=212). We applied the previously established machine learning-based clustering model to the subcohort with biomarker measurements to classify them into four phenotypes: phenotype 1 (n=69), phenotype 2 (n=49), phenotype 3 (n=41) and phenotype 4 (n=53). Biomarker characteristics in each phenotype were evaluated.ResultsPhenotype 1 presented the lowest value of N-terminal pro-brain natriuretic peptide (NT-proBNP), high-sensitive C reactive protein, tumour necrosis factor-α, growth differentiation factor (GDF)-15, troponin T and cystatin C, whereas phenotype 2, which is characterised by hypertension and cardiac hypertrophy, showed the highest value of these markers. Phenotype 3 showed the second highest value of GDF-15 and cystatin C. Phenotype 4 presented a low NT-proBNP value and a relatively high GDF-15.ConclusionsDistinctive characteristics of biomarkers in HFpEF phenotypes would indicate differential underlying mechanisms to be elucidated. The contribution of inflammation to the pathogenesis varied considerably among different HFpEF phenotypes. Systemic inflammation substantially contributes to the pathophysiology of the classic HFpEF phenotype with cardiac hypertrophy.Trial registration numberUMIN-CTR ID: UMIN000021831.

Published
2024
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31. Medications for specific phenotypes of heart failure with preserved ejection fraction classified by a machine learning-based clustering model

Author

Sotomi, Yohei, primary, Hikoso, Shungo, additional, Nakatani, Daisaku, additional, Okada, Katsuki, additional, Dohi, Tomoharu, additional, Sunaga, Akihiro, additional, Kida, Hirota, additional, Sato, Taiki, additional, Matsuoka, Yuki, additional, Kitamura, Tetsuhisa, additional, Komukai, Sho, additional, Seo, Masahiro, additional, Yano, Masamichi, additional, Hayashi, Takaharu, additional, Nakagawa, Akito, additional, Nakagawa, Yusuke, additional, Tamaki, Shunsuke, additional, Ohtani, Tomohito, additional, Yasumura, Yoshio, additional, Yamada, Takahisa, additional, and Sakata, Yasushi, additional

Published
2023
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34. Lowering Uric Acid May Improve Prognosis in Patients With Hyperuricemia and Heart Failure With Preserved Ejection Fraction

Author

Nishino, Masami, primary, Egami, Yasuyuki, additional, Kawanami, Shodai, additional, Sugae, Hiroki, additional, Ukita, Kohei, additional, Kawamura, Akito, additional, Nakamura, Hitoshi, additional, Matsuhiro, Yutaka, additional, Yasumoto, Koji, additional, Tsuda, Masaki, additional, Okamoto, Naotaka, additional, Matsunaga‐Lee, Yasuharu, additional, Yano, Masamichi, additional, Tanouchi, Jun, additional, Yamada, Takahisa, additional, Yasumura, Yoshio, additional, Tamaki, Shunsuke, additional, Hayashi, Takaharu, additional, Nakagawa, Akito, additional, Nakagawa, Yusuke, additional, Sotomi, Yohei, additional, Nakatani, Daisaku, additional, Hikoso, Shungo, additional, Sakata, Yasushi, additional, Sato, Taiki, additional, Seo, Masahiro, additional, Watanabe, Tetsuya, additional, Higuchi, Yoshiharu, additional, Masuda, Masaharu, additional, Asai, Mitsutoshi, additional, Mano, Toshiaki, additional, Fuji, Hisakazu, additional, Masuda, Daisaku, additional, Nagai, Yoshiyuki, additional, Yamashita, Shizuya, additional, Sairyo, Masami, additional, Abe, Haruhiko, additional, Ueda, Yasunori, additional, Matsumura, Yasushi, additional, Nagai, Kunihiko, additional, Nishino, Masami, additional, Arita, Yoh, additional, Hasegawa, Shinji, additional, Ishizu, Takamaru, additional, Ichikawa, Minoru, additional, Takano, Yuzuru, additional, Rin, Eisai, additional, Shinoda, Yukinori, additional, Tachibana, Koichi, additional, Hoshida, Shiro, additional, Izumi, Masahiro, additional, Yamamoto, Hiroyoshi, additional, Kato, Hiroyasu, additional, Nakatani, Kazuhiro, additional, Yasuga, Yuji, additional, Nishio, Mayu, additional, Hirooka, Keiji, additional, Yoshimura, Takahiro, additional, Yasuoka, Yoshinori, additional, Tani, Akihiro, additional, Okumoto, Yasushi, additional, Makino, Yasunaka, additional, Onishi, Toshinari, additional, Iwakura, Katsuomi, additional, Kijima, Yoshiyuki, additional, Kitao, Takashi, additional, Kanai, Hideyuki, additional, Shioyama, Wataru, additional, Fujita, Masashi, additional, Harada, Koichiro, additional, Kumada, Masahiro, additional, Nakagawa, Osamu, additional, Araki, Ryo, additional, Yamada, Takayuki, additional, Sunaga, Akihiro, additional, Oeun, Bolrathanak, additional, Kida, Hirota, additional, Dohi, Tomoharu, additional, Nakamoto, Kei, additional, Okada, Katsuki, additional, Sera, Fusako, additional, Kioka, Hidetaka, additional, Ohtani, Tomohito, additional, Takeda, Toshihiro, additional, and Mizuno, Hiroya, additional

Published
2022
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36. DR‐FLASH Score Is Useful for Identifying Patients With Persistent Atrial Fibrillation Who Require Extensive Catheter Ablation Procedures

Author

Sato, Taiki, primary, Sotomi, Yohei, additional, Hikoso, Shungo, additional, Nakatani, Daisaku, additional, Mizuno, Hiroya, additional, Okada, Katsuki, additional, Dohi, Tomoharu, additional, Kitamura, Tetsuhisa, additional, Sunaga, Akihiro, additional, Kida, Hirota, additional, Oeun, Bolrathanak, additional, Egami, Yasuyuki, additional, Watanabe, Tetsuya, additional, Minamiguchi, Hitoshi, additional, Miyoshi, Miwa, additional, Tanaka, Nobuaki, additional, Oka, Takafumi, additional, Okada, Masato, additional, Kanda, Takashi, additional, Matsuda, Yasuhiro, additional, Kawasaki, Masato, additional, Masuda, Masaharu, additional, Inoue, Koichi, additional, Sakata, Yasushi, additional, Mano, Toshiaki, additional, Fukunami, Masatake, additional, Yamada, Takahisa, additional, Furukawa, Yoshio, additional, Hasegawa, Shinji, additional, Higuchi, Yoshiharu, additional, Makino, Nobuhiko, additional, Hirata, Akio, additional, Tanouchi, Jun, additional, Nishino, Masami, additional, Matsunaga, Yasuharu, additional, Matsumura, Yasushi, additional, Takeda, Toshihiro, additional, Nakano, Tomoaki, additional, Ozu, Kentaro, additional, Suna, Shinichiro, additional, Sato, Taiki, additional, Tanaka, Koji, additional, Minamisaka, Tomoko, additional, and Hoshida, Shiro, additional

Published
2022
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37. Practical Assessment of the Tradeoff between Fatal Bleeding and Coronary Thrombotic Risks using the Academic Research Consortium for High Bleeding Risk Criteria

Author

Sotomi, Yohei, primary, Hikoso, Shungo, additional, Nakatani, Daisaku, additional, Dohi, Tomoharu, additional, Mizuno, Hiroya, additional, Okada, Katsuki, additional, Kida, Hirota, additional, Oeun, Bolrathanak, additional, Sunaga, Akihiro, additional, Sato, Taiki, additional, Kitamura, Tetsuhisa, additional, Sakata, Yasuhiko, additional, Sato, Hiroshi, additional, Hori, Masatsugu, additional, Komuro, Issei, additional, and Sakata, Yasushi, additional

Published
2022
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41. Relationships of Atrial Fibrillation at Diagnosis and Type of Atrial Fibrillation During Follow-up With Long-Term Outcomes for Heart Failure With Preserved Ejection Fraction

Author

Nakatani, Daisaku, primary, Dohi, Tomoharu, additional, Takeda, Toshihiro, additional, Okada, Katsuki, additional, Sunaga, Akihiro, additional, Oeun, Bolrathanak, additional, Kida, Hirota, additional, Sotomi, Yohei, additional, Sato, Taiki, additional, Kitamura, Tetsuhisa, additional, Suna, Shinichiro, additional, Mizuno, Hiroya, additional, Hikoso, Shungo, additional, Matsumura, Yasushi, additional, and Sakata, Yasushi, additional

Published
2022
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42. Pre-infarction Angina: Time Interval to Onset of Myocardial Infarction and Comorbidity Predictors

Author

Sotomi, Yohei, primary, Ueda, Yasunori, additional, Hikoso, Shungo, additional, Okada, Katsuki, additional, Dohi, Tomoharu, additional, Kida, Hirota, additional, Oeun, Bolrathanak, additional, Sunaga, Akihiro, additional, Sato, Taiki, additional, Kitamura, Tetsuhisa, additional, Mizuno, Hiroya, additional, Nakatani, Daisaku, additional, Sakata, Yasuhiko, additional, Sato, Hiroshi, additional, Hori, Masatsugu, additional, Komuro, Issei, additional, and Sakata, Yasushi, additional

Published
2022
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43. Long‐Term Outcomes and Clinical Predictors of Mortality Following Occurrence of Stent Thrombosis

Author

Ishihara, Takayuki, primary, Okada, Katsuki, additional, Kida, Hirota, additional, Tsujimura, Takuya, additional, Iida, Osamu, additional, Okuno, Shota, additional, Hata, Yosuke, additional, Toyoshima, Taku, additional, Higashino, Naoko, additional, Kikuchi, Atsushi, additional, Watanabe, Tetsuya, additional, Morita, Takashi, additional, Tanaka, Akihiro, additional, Shutta, Ryu, additional, Nishino, Masami, additional, Kosugi, Shumpei, additional, Ueda, Yasunori, additional, Ichibori, Yasuhiro, additional, Higuchi, Yoshiharu, additional, Sotomi, Yohei, additional, Nakamura, Daisuke, additional, Kumada, Masahiro, additional, Hikoso, Shungo, additional, Nakatani, Daisaku, additional, Mano, Toshiaki, additional, Sakata, Yasushi, additional, Date, Motoo, additional, Ozaki, Tatsuhisa, additional, Takayasu, Kohtaro, additional, Mori, Naoki, additional, Kobayashi, Tomoaki, additional, Hamanaka, Yuma, additional, Yamada, Takahisa, additional, Okamoto, Naotaka, additional, Tsuda, Masaki, additional, Nakagawa, Osamu, additional, Mizote, Isamu, additional, Yokoi, Kensuke, additional, Shiraki, Tatsuya, additional, Sato, Taiki, additional, Sunaga, Akihiro, additional, Oeun, Bolrathanak, additional, Dohi, Tomoharu, additional, Suna, Shinichiro, additional, Ohtani, Tomohito, additional, Takeda, Toshihiro, additional, Mizuno, Hiroya, additional, and Matsumura, Yasushi, additional

Published
2022
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44. Phenotyping of acute decompensated heart failure with preserved ejection fraction

Author

Sotomi, Yohei, primary, Hikoso, Shungo, additional, Komukai, Sho, additional, Sato, Taiki, additional, Oeun, Bolrathanak, additional, Kitamura, Tetsuhisa, additional, Nakagawa, Akito, additional, Nakatani, Daisaku, additional, Mizuno, Hiroya, additional, Okada, Katsuki, additional, Dohi, Tomoharu, additional, Sunaga, Akihiro, additional, Kida, Hirota, additional, Seo, Masahiro, additional, Yano, Masamichi, additional, Hayashi, Takaharu, additional, Nakagawa, Yusuke, additional, Tamaki, Shunsuke, additional, Ohtani, Tomohito, additional, Yasumura, Yoshio, additional, Yamada, Takahisa, additional, and Sakata, Yasushi, additional

Published
2022
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45. Abstract 9219: More Extensive Ablation in Addition to Pulmonary Vein Isolation Can Improve Quality of Life in Elderly Patients With Persistent Atrial Fibrillation: Insights from the Earnest-pvi Trial

Author

Kanda, Takashi, primary, Masuda, Masaharu, additional, Inoue, Koichi, additional, Egami, Yasuyuki, additional, Watanabe, Tetsuya, additional, Minamiguchi, Hitoshi, additional, Miyoshi, Miwa, additional, Sunaga, Akihiro, additional, Sotomi, Yohei, additional, Dohi, Tomoharu, additional, Hikoso, Shugo, additional, and Sakata, Yasushi, additional

Published
2021
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46. Change in Nutritional Status during Hospitalization and Prognosis in Patients with Heart Failure with Preserved Ejection Fraction.

Author

Sunaga, Akihiro, Hikoso, Shungo, Yamada, Takahisa, Yasumura, Yoshio, Tamaki, Shunsuke, Yano, Masamichi, Hayashi, Takaharu, Nakagawa, Yusuke, Nakagawa, Akito, Seo, Masahiro, Kurakami, Hiroyuki, Yamada, Tomomi, Kitamura, Tetsuhisa, Sato, Taiki, Oeun, Bolrathanak, Kida, Hirota, Sotomi, Yohei, Dohi, Tomoharu, Okada, Katsuki, and Mizuno, Hiroya

Abstract

The impact of changes in nutritional status during hospitalization on prognosis in patients with heart failure with preserved ejection fraction (HFpEF) remains unknown. We examined the association between changes in the Geriatric Nutritional Risk Index (GNRI) and prognosis during hospitalization in patients with HFpEF stratified by nutritional status on admission. Nutritional status did and did not worsen in 348 and 349 of 697 patients with high GNRI on admission, and in 142 and 143 of 285 patients with low GNRI on admission, respectively. Kaplan–Meier analysis revealed no difference in risk of the composite endpoint, all-cause death, or heart failure admission between patients with high GNRI on admission whose nutritional status did and did not worsen. In contrast, patients with low GNRI on admission whose nutritional status did not worsen had a significantly lower risk of the composite endpoint and all-cause death than those who did. Multivariable analysis revealed that worsening nutritional status was independently associated with a higher risk of the composite endpoint and all-cause mortality in patients with low GNRI on admission. Changes in nutritional status during hospitalization were thus associated with prognosis in patients with malnutrition on admission, but not in patients without malnutrition among those with HFpEF. [ABSTRACT FROM AUTHOR]

Published
2022
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47. Prognostic significance of dipstick proteinuria in heart failure with preserved ejection fraction: insight from the PURSUIT-HFpEF registry

Author

Oeun, Bolrathanak, primary, Hikoso, Shungo, additional, Nakatani, Daisaku, additional, Mizuno, Hiroya, additional, Suna, Shinichiro, additional, Kitamura, Tetsuhisa, additional, Okada, Katsuki, additional, Dohi, Tomoharu, additional, Sotomi, Yohei, additional, Kida, Hirota, additional, Sunaga, Akihiro, additional, Sato, Taiki, additional, Nakagawa, Akito, additional, Nakagawa, Yusuke, additional, Hayashi, Takaharu, additional, Yano, Masamichi, additional, Tamaki, Shunsuke, additional, Yasumura, Yoshio, additional, Yamada, Takahisa, additional, and Sakata, Yasushi, additional

Published
2021
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48. Minimal subphenotyping model for acute heart failure with preserved ejection fraction.

Author

Sotomi, Yohei, Sato, Taiki, Hikoso, Shungo, Komukai, Sho, Oeun, Bolrathanak, Kitamura, Tetsuhisa, Nakatani, Daisaku, Mizuno, Hiroya, Okada, Katsuki, Dohi, Tomoharu, Sunaga, Akihiro, Kida, Hirota, Seo, Masahiro, Yano, Masamichi, Hayashi, Takaharu, Nakagawa, Akito, Nakagawa, Yusuke, Tamaki, Shunsuke, Ohtani, Tomohito, and Yasumura, Yoshio

Subjects
COHEN'S kappa coefficient (Statistics), VENTRICULAR ejection fraction, HEART failure, BRAIN natriuretic factor, LEUCOCYTES
Abstract

Aims: Application of the latent class analysis to acute heart failure with preserved ejection fraction (HFpEF) showed that the heterogeneous acute HFpEF patients can be classified into four distinct phenotypes with different clinical outcomes. This model‐based clustering required a total of 32 variables to be included. However, this large number of variables will impair the clinical application of this classification algorithm. This study aimed to identify the minimal number of variables for the development of optimal subphenotyping model. Methods and results: This study is a post hoc analysis of the PURSUIT‐HFpEF study (N = 1095), a prospective, multi‐referral centre, observational study of acute HFpEF [UMIN000021831]. We previously applied the latent class analysis to the PURSUIT‐HFpEF dataset and established the full 32‐variable model for subphenotyping. In this study, we used the Cohen's kappa statistic to investigate the minimal number of discriminatory variables needed to accurately classify the phenogroups in comparison with the full 32‐variable model. Cohen's kappa statistic of the top‐X number of discriminatory variables compared with the full 32‐variable derivation model showed that the models with ≥16 discriminatory variables showed kappa value of >0.8, suggesting that the minimal number of discriminatory variables for the optimal phenotyping model was 16. The 16‐variable model consists of C‐reactive protein, creatinine, gamma‐glutamyl transferase, brain natriuretic peptide, white blood cells, systolic blood pressure, fasting blood sugar, triglyceride, clinical scenario classification, infection‐triggered acute decompensated HF, estimated glomerular filtration rate, platelets, neutrophils, GWTG‐HF (Get With The Guidelines‐Heart Failure) risk score, chronic kidney disease, and CONUT (Controlling Nutritional Status) score. Characteristics and clinical outcomes of the four phenotypes subclassified by the minimal 16‐variable model were consistent with those by the full 32‐variable model. The four phenotypes were labelled based on their characteristics as 'rhythm trouble', 'ventricular‐arterial uncoupling', 'low output and systemic congestion', and 'systemic failure', respectively. Conclusions: The phenotyping model with top 16 variables showed almost perfect agreement with the full 32‐variable model. The minimal model may enhance the future clinical application of this clustering algorithm. [ABSTRACT FROM AUTHOR]

Published
2022
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49. Study protocol for the PURSUIT-HFpEF study: A Prospective, Multicenter, Observational Study of Patients with Heart Failure with Preserved Ejection Fraction

Author

1000040573085, Suna, Shinichiro, 1000030423164, Hikoso, Shungo, Yamada, Takahisa, 1000000270728, Uematsu, Masaaki, Yasumura, Yoshio, Nakagawa, Akito, 1000070506493, Takeda, Toshihiro, Kojima, Takayuki, Kida, Hirota, Oeun, Bolrathanak, Sunaga, Akihiro, 1000030639810, 0000-0003-0107-0580, Kitamura, Tetsuhisa, 1000090838137, Dohi, Tomoharu, 1000020776489, Okada, Katsuki, 1000060437423, Mizuno, Hiroya, 1000060444535, Nakatani, Daisaku, 1000050223053, Iso, Hiroyasu, 1000090252642, Matsumura, Yasushi, 1000000397671, 0000-0002-5618-4721, Sakata, Yasushi, 1000040573085, Suna, Shinichiro, 1000030423164, Hikoso, Shungo, Yamada, Takahisa, 1000000270728, Uematsu, Masaaki, Yasumura, Yoshio, Nakagawa, Akito, 1000070506493, Takeda, Toshihiro, Kojima, Takayuki, Kida, Hirota, Oeun, Bolrathanak, Sunaga, Akihiro, 1000030639810, 0000-0003-0107-0580, Kitamura, Tetsuhisa, 1000090838137, Dohi, Tomoharu, 1000020776489, Okada, Katsuki, 1000060437423, Mizuno, Hiroya, 1000060444535, Nakatani, Daisaku, 1000050223053, Iso, Hiroyasu, 1000090252642, Matsumura, Yasushi, 1000000397671, 0000-0002-5618-4721, and Sakata, Yasushi

Abstract

Suna S, Hikoso S, Yamada T On behalf of the OCVC-Heart Failure Investigators, et al. Study protocol for the PURSUIT-HFpEF study: a Prospective, Multicenter, Observational Study of Patients with Heart Failure with Preserved Ejection Fraction. BMJ Open 2020;10:e038294. doi: 10.1136/bmjopen-2020-038294, Introduction Neither the pathophysiology nor an effective treatment for heart failure with preserved ejection fraction (HFpEF) has been elucidated to date. The purpose of this ongoing study is to elucidate the pathophysiology and prognostic factors for patients with HFpEF admitted to participating institutes. We also aim to obtain insights into the development of new diagnostic and treatment methods by analysing patient background factors, clinical data and follow-up information. Methods and analysis This study is a prospective, multicentre, observational study of patients aged ≥20 years admitted due to acute decompensated heart failure with preserved left ventricular ejection fraction (≥50%) and elevated N-terminal-pro brain natriuretic peptide (NT-proBNP) (≥400 pg/mL). The study began in June 2016, with the participation of Osaka University Hospital and 31 affiliated facilities. We will collect data on history in detail, accompanying diseases, quality of life, frailty score, medication history, and laboratory and echocardiographic data. We will follow-up each patient for 5 years, and collect outcome data on mortality, cause of death, and the number and cause of hospitalisation. The target number of registered cases is 1500 cases in 5 years. Ethics and dissemination The protocol was approved by the Institutional Review Board (IRB) of Osaka University Hospital on 24 February 2016 (ID: 15471), and by the IRBs of the all participating facilities. The findings will be disseminated through peer-reviewed publications and conference presentations.

Published
2020

50. Association between prognosis and the use of angiotensin-converting enzyme inhibitors and/or angiotensin II receptor blockers in frail patients with heart failure with preserved ejection fraction.

Author

Sunaga, Akihiro, Hikoso, Shungo, Tamaki, Shunsuke, Seo, Masahiro, Yano, Masamichi, Hayashi, Takaharu, Nakagawa, Akito, Nakagawa, Yusuke, Kurakami, Hiroyuki, Yamada, Tomomi, Kitamura, Tetsuhisa, Sato, Taiki, Oeun, Bolrathanak, Kida, Hirota, Sotomi, Yohei, Dohi, Tomoharu, Okada, Katsuki, Mizuno, Hiroya, Nakatani, Daisaku, and Yamada, Takahisa

Subjects
ANGIOTENSIN-receptor blockers, ACE inhibitors, HEART failure patients, VENTRICULAR ejection fraction, HEART failure, PROPORTIONAL hazards models
Abstract

Aims The effectiveness of angiotensin-converting enzyme inhibitors (ACE-I) and angiotensin II receptor blockers (ARB) has not been demonstrated in patients with heart failure with preserved ejection fraction (HFpEF). We recently reported significant interaction between the use of ACE-I and/or ARB (ACE-I/ARB) and frailty on prognosis in patients with HFpEF. In the present study, we examined the association between ACE-I/ARB and prognosis in patients with HFpEF stratified by the presence or absence of frailty. Methods and results We examined the association between the use of ACE-I/ARB and prognosis according to the presence [Clinical Frailty Scale (CFS) ≥ 5] or absence (CFS ≤ 4) of frailty in patients with HFpEF in a post hoc analysis of registry data. Primary endpoint was the composite of all-cause mortality and heart failure admission. Secondary endpoints were all-cause mortality and heart failure admission. Of 1059 patients, median age was 83 years and 45% were male. Kaplan–Meier analysis showed that the risk of composite endpoint (log-rank P = 0.001) and all-cause death (log-rank P = 0.005) in patients with ACE-I/ ARB was lower in those with CFS ≥ 5, but similar between patients with and without ACE-I/ARB in patients with CFS ≤ 4 (composite endpoint: log-rank P = 0.830; all-cause death: log-rank P = 0.192). In a multivariable Cox proportional hazards model, use of ACE-I/ARB was significantly associated with lower risk of the composite endpoint [hazard ratio (HR) = 0.52, 95% confidence interval (CI) = 0.33–0.83, P = 0.005] and heart failure admission (HR = 0.45, 95% CI = 0.25–0.83, P = 0.010) in patients with CFS ≥ 5, but not in patients with CFS ≤ 4 (composite endpoint: HR = 1.41, 95% CI = 0.99–2.02, P = 0.059; heart failure admission: HR = 1.43, 95% CI = 0.94–2.18, P = 0.091). The association between ACE-I or ARB and prognosis did not significantly differ by CFS (CFS ≤ 4: log-rank P = 0.562; CFS ≥ 5: log-rank P = 0.100, for with ACE-I vs. ARB, respectively). Adjusted HRs for CFS 1–4 were higher than 1.0 but were <1.0 at CFS 5. Conclusions In patients with HFpEF, use of ACE-I/ARB was associated with better prognosis in patients with frailty as assessed with the CFS, but not in those without frailty. [ABSTRACT FROM AUTHOR]

Published
2022
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