Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Hidetaka Kaku"'
Autor:
Takeshi Tohyama, Tomomi Ide, Masataka Ikeda, Hidetaka Kaku, Nobuyuki Enzan, Shouji Matsushima, Kouta Funakoshi, Junji Kishimoto, Koji Todaka, Hiroyuki Tsutsui
Publikováno v:
ESC Heart Failure, Vol 8, Iss 5, Pp 4077-4085 (2021)
Abstract Aims Individual risk stratification is a fundamental strategy in managing patients with heart failure (HF). Artificial intelligence, particularly machine learning (ML), can develop superior models for predicting the prognosis of HF patients,
Externí odkaz:
https://doaj.org/article/808b126ae4174e40958441d28102a34b
Autor:
Nobuyuki Enzan, Shouji Matsushima, Tomomi Ide, Hidetaka Kaku, Taiki Higo, Miyuki Tsuchihashi‐Makaya, Hiroyuki Tsutsui
Publikováno v:
ESC Heart Failure, Vol 7, Iss 1, Pp 336-344 (2020)
Abstract Aims Spironolactone has been shown to improve outcomes in patients with heart failure (HF) with reduced ejection fraction (EF). We investigated whether the discharge use of spironolactone could be associated with better long‐term outcomes
Externí odkaz:
https://doaj.org/article/a393c1a5ab4144b09ab24977a5ea2f4e
Autor:
Ichiro Sakamoto, Kenichiro Yamamura, Ayako Ishikita, Kisho Ohtani, Shintaro Umemoto, Hidetaka Kaku, Yuzo Yamasaki, Kohtaro Abe, Tomomi Ide, Hiroyuki Tsutsui
Publikováno v:
Journal of Cardiovascular Development and Disease, Vol 10, Iss 1, p 24 (2023)
Pulmonary regurgitation (PR) is a risk factor for sudden cardiac death in adult patients with repaired tetralogy of Fallot (TOF). However, transthoracic echocardiography (TTE) cannot fully visualize the pulmonary valve (PV) and PR. We investigated wh
Externí odkaz:
https://doaj.org/article/7e8e8489d95a49b5ac8675ff814f0cc4
Autor:
Nobuyuki Enzan, Shouji Matsushima, Tomomi Ide, Hidetaka Kaku, Takeshi Tohyama, Kouta Funakoshi, Taiki Higo, Hiroyuki Tsutsui
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 10, Iss 12 (2021)
Background Withdrawal of optimal medical therapy has been reported to relapse cardiac dysfunction in patients with dilated cardiomyopathy (DCM) whose cardiac function had improved. However, it is unknown whether beta‐blockers can prevent deteriorat
Externí odkaz:
https://doaj.org/article/898f2b1c9b4b458f946836f982fb8dc4
Autor:
Nobuyuki Enzan, Shouji Matsushima, Hidetaka Kaku, Takeshi Tohyama, Takuya Nagata, Tomomi Ide, Hiroyuki Tsutsui
Publikováno v:
JACC: Asia. 3:93-104
Autor:
Nobuyuki Enzan, Shouji Matsushima, Hidetaka Kaku, Takeshi Tohyama, Tomoyuki Nezu, Tae Higuchi, Yuta Nagatomi, Takeo Fujino, Toru Hashimoto, Tomomi Ide, Hiroyuki Tsutsui
Publikováno v:
Circulation: Heart Failure. 16
Background: The impact of early implementation of cardiac rehabilitation (CR) in heart failure (HF) patients remains to be elucidated. This study sought to determine whether CR during HF hospitalization could improve prognostic outcomes in patients w
Autor:
Takuya Nagata, Tomomi Ide, Takeshi Tohyama, Hidetaka Kaku, Nobuyuki Enzan, Shouji Matsushima, Masataka Ikeda, Koji Todaka, Hiroyuki Tsutsui
Publikováno v:
JACC: Asia.
Autor:
Ken-ichi Hiasa, Hidetaka Kaku, Goro Kawahara, Hiroshi Inoue, Takeshi Yamashita, Masaharu Akao, Hirotsugu Atarashi, Takanori Ikeda, Yukihiro Koretsune, Ken Okumura, Wataru Shimizu, Kazunori Toyoda, Atsushi Hirayama, Masahiro Yasaka, Takenori Yamaguchi, Satoshi Teramukai, Tetsuya Kimura, Jumpei Kaburagi, Atsushi Takita, Hiroyuki Tsutsui
Publikováno v:
Circulation journal. 86(2):222-232
Background: Echocardiographic data on the cardiac structure and function in elderly patients with atrial fibrillation (AF) and heart failure (HF) are limited. This subcohort study of the ANAFIE Registry analyzed echocardiographic parameters to identi
Autor:
Hidetaka Kaku, Kouta Funakoshi, Junji Kishimoto, Shouji Matsushima, Masataka Ikeda, Nobuyuki Enzan, Koji Todaka, Hiroyuki Tsutsui, Tomomi Ide, Takeshi Tohyama
Publikováno v:
ESC Heart Failure, Vol 8, Iss 5, Pp 4077-4085 (2021)
ESC Heart Failure
ESC Heart Failure
Aims Individual risk stratification is a fundamental strategy in managing patients with heart failure (HF). Artificial intelligence, particularly machine learning (ML), can develop superior models for predicting the prognosis of HF patients, and admi
Autor:
Nobuyuki Enzan, Issei Komuro, Hidetaka Kaku, Michikazu Nakai, Kouta Funakoshi, Kunihiro Nishimura, Yoko Sumita, Masaru Hatano, Miyuki Tsuchihashi-Makaya, Hiroyuki Tsutsui, Tomomi Ide, Shouji Matsushima, Yoshihiro Miyamoto, Takeshi Tohyama
Publikováno v:
Circulation Journal. 85:1438-1450
Background With aging population, the prevalence and incidence of heart failure (HF) have been increasing worldwide. However, the characteristics and outcomes of patients with HF in an era of aging are not well established in Japan.Methods and Result