- 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
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
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
- Yoshihisa Matsumura Jun Takata Hiroaki Kitaoka Toru Kubo Yuichi Baba Eri Hoshikawa Tomoyuki Hamada Makoto Okawa Nobuhiko Hitomi Kyoko Sato Naohito Yamasaki Toshikazu Yabe Takashi Furuno Masanori Nishinaga Yoshinori Doi
- 出版者
- 日本循環器学会
- 雑誌
- Circulation Journal (ISSN:13469843)
- 巻号頁・発行日
- vol.70, no.4, pp.376-383, 2006 (Released:2006-03-25)
- 参考文献数
- 42
- 被引用文献数
- 21 42
Background Because of their favorable prognostic effects, angiotensin converting enzyme inhibitors (ACEI), angiotensin II receptor blockers (ARB) and β blockers have become background therapy in dilated cardiomyopathy (DCM). However, there are few reports concerning the long-term prognosis of Japanese patients with DCM in relation to these treatments. Methods and Results One hundred and fifty patients with DCM were divided into 2 groups: group A (n=46) (diagnosis: 1982-1989) and group B (n=104) (diagnosis: 1990-2002). During follow-up period of 6.9±4.8 years, 62 patients died and 1 patient had a heart transplant. The survival rate at 5 and 10 years was 60.9% and 34.8%, respectively, in group A patients, and 80.9% and 65.3%, respectively, in group B patients (p=0.0079). In group A patients, ACEI/ARB or β blockers were less frequently used (p<0.0001), whereas antiarrhythmics (class Ia or Ib) were more often used (p<0.0001). The patients treated with ACEI/ARB and β blockers showed a better survival rate than those without (p<0.0001). The patients with antiarrhythmics showed a worse survival rate than those without (p<0.0001). Conclusion The prognosis of Japanese patients with DCM has significantly improved over the past 20 years. This improvement may be explained partly through the increased use of ACEI/ARB and β blockers and a declining use of antiarrhythmics. (Circ J 2006; 70: 376 - 383)