著者

Kensuke Takabayashi Tomoyuki Hamada Toru Kubo Kotaro Iwatsu Tsutomu Ikeda Yohei Okada Tetsuhisa Kitamura Shouji Kitaguchi Takeshi Kimura Hiroaki Kitaoka Ryuji Nohara

出版者

The Japanese Circulation Society

雑誌

Circulation Journal (ISSN:13469843)

巻号頁・発行日

pp.CJ-22-0652, (Released:2022-12-28)

参考文献数

22

被引用文献数

1

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Background: To predict mortality in patients with acute heart failure (AHF), we created and validated an internal clinical risk score, the KICKOFF score, which takes physical and social aspects, in addition to clinical aspects, into account. In this study, we validated the prediction model externally in a different geographic area.Methods and Results: There were 2 prospective multicenter cohorts (1,117 patients in Osaka Prefecture [KICKOFF registry]; 737 patients in Kochi Prefecture [Kochi YOSACOI study]) that had complete datasets for calculation of the KICKOFF score, which was developed by machine learning incorporating physical and social factors. The outcome measure was all-cause death over a 2-year period. Patients were separated into 3 groups: low risk (scores 0–6), moderate risk (scores 7–11), and high risk (scores 12–19). Kaplan-Meier curves clearly showed the score’s propensity to predict all-cause death, which rose independently in higher-risk groups (P<0.001) in both cohorts. After 2 years, the cumulative incidence of all-cause death was similar in the KICKOFF registry and Kochi YOSACOI study for the low-risk (4.4% vs. 5.3%, respectively), moderate-risk (25.3% vs. 22.3%, respectively), and high-risk (68.1% vs. 58.5%, respectively) groups.Conclusions: The unique prediction score may be used in different geographic areas in Japan. The score may help doctors estimate the risk of AHF mortality, and provide information for decisions regarding heart failure treatment.

著者

Kensuke Takabayashi Tomoyuki Hamada Toru Kubo Kotaro Iwatsu Tsutomu Ikeda Yohei Okada Tetsuhisa Kitamura Shouji Kitaguchi Takeshi Kimura Hiroaki Kitaoka Ryuji Nohara

出版者

The Japanese Circulation Society

雑誌

Circulation Journal (ISSN:13469843)

巻号頁・発行日

vol.87, no.4, pp.543-550, 2023-03-24 (Released:2023-03-24)

参考文献数

22

被引用文献数

1

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Background: To predict mortality in patients with acute heart failure (AHF), we created and validated an internal clinical risk score, the KICKOFF score, which takes physical and social aspects, in addition to clinical aspects, into account. In this study, we validated the prediction model externally in a different geographic area.Methods and Results: There were 2 prospective multicenter cohorts (1,117 patients in Osaka Prefecture [KICKOFF registry]; 737 patients in Kochi Prefecture [Kochi YOSACOI study]) that had complete datasets for calculation of the KICKOFF score, which was developed by machine learning incorporating physical and social factors. The outcome measure was all-cause death over a 2-year period. Patients were separated into 3 groups: low risk (scores 0–6), moderate risk (scores 7–11), and high risk (scores 12–19). Kaplan-Meier curves clearly showed the score’s propensity to predict all-cause death, which rose independently in higher-risk groups (P<0.001) in both cohorts. After 2 years, the cumulative incidence of all-cause death was similar in the KICKOFF registry and Kochi YOSACOI study for the low-risk (4.4% vs. 5.3%, respectively), moderate-risk (25.3% vs. 22.3%, respectively), and high-risk (68.1% vs. 58.5%, respectively) groups.Conclusions: The unique prediction score may be used in different geographic areas in Japan. The score may help doctors estimate the risk of AHF mortality, and provide information for decisions regarding heart failure treatment.

著者

Ryosuke Murai Yuichi Kawase Tomohiko Taniguchi Takeshi Morimoto Kazushige Kadota Masanobu Ohya Takenobu Shimada Takeshi Maruo Yasushi Fuku Tatsuhiko Komiya Kenji Ando Michiya Hanyu Norio Kanamori Takeshi Aoyama Koichiro Murata Tomoya Onodera Fumio Yamazaki Takeshi Kitai Yutaka Furukawa Tadaaki Koyama Makoto Miyake Chisato Izumi Yoshihisa Nakagawa Kazuo Yamanaka Hirokazu Mitsuoka Manabu Shirotani Masashi Kato Shinji Miki Hiroyuki Nakajima Yutaka Hirano Shunichi Miyazaki Toshihiko Saga Sachiko Sugioka Shintaro Matsuda Mitsuo Matsuda Tatsuya Ogawa Kazuya Nagao Tsukasa Inada Shogo Nakayama Hiroshi Mabuchi Yasuyo Takeuchi Hiroki Sakamoto Genichi Sakaguchi Keiichiro Yamane Hiroshi Eizawa Mamoru Toyofuku Takashi Tamura Atsushi Iwakura Mitsuru Ishii Masaharu Akao Kotaro Shiraga Eri Minamino-Muta Takao Kato Moriaki Inoko Koji Ueyama Tomoyuki Ikeda Yoshihiro Himura Akihiro Komasa Katsuhisa Ishii Kozo Hotta Yukihito Sato Keiichi Fujiwara Yoshihiro Kato Ichiro Kouchi Yasutaka Inuzuka Shigeru Ikeguchi Senri Miwa Chiyo Maeda Eiji Shinoda Junichiro Nishizawa Toshikazu Jinnai Nobuya Higashitani Mitsuru Kitano Yuko Morikami Shouji Kitaguchi Kenji Minatoya Takeshi Kimura on behalf of the CURRENT AS Registry Investigators

出版者

The Japanese Circulation Society

雑誌

Circulation Journal (ISSN:13469843)

巻号頁・発行日

vol.86, no.3, pp.427-437, 2022-02-25 (Released:2022-02-25)

参考文献数

26

被引用文献数

3

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Background:The clinical significance of concomitant mitral regurgitation (MR) has not been well addressed in patients with severe aortic stenosis (AS).Methods and Results:We analyzed 3,815 patients from a retrospective multicenter registry of severe AS in Japan (CURRENT AS registry). We compared the clinical outcomes between patients with moderate/severe MR and with none/mild MR according to the initial treatment strategy (initial aortic valve replacement [AVR] or conservative strategy). The primary outcome measure was a composite of aortic valve-related death or heart failure hospitalization. At baseline, moderate/severe MR was present in 227/1,197 (19%) patients with initial AVR strategy and in 536/2,618 (20%) patients with a conservative strategy. The crude cumulative 5-year incidence of the primary outcome measure was significantly higher in patients with moderate/severe MR than in those with none/mild MR, regardless of the initial treatment strategy (25.2% vs. 14.4%, P<0.001 in the initial AVR strategy, and 63.3% vs. 40.7%, P<0.001 in the conservative strategy). After adjusting confounders, moderate/severe MR was not independently associated with higher risk for the primary outcome measure in the initial AVR strategy (hazard ratio [HR] 1.11, 95% confidence interval [CI] 0.67–1.83, P=0.69), and in the conservative strategy (HR 1.13, 95% CI 0.93–1.37, P=0.22).Conclusions:Concomitant moderate/severe MR was not independently associated with higher risk for the primary outcome measure regardless of the initial treatment strategy.