Zobrazeno 1 - 10
of 107
pro vyhledávání: '"Tadafumi, Sugimoto"'
Autor:
Masaaki Konishi, Hidehiro Kaneko, Hidetaka Itoh, Satoshi Matsuoka, Akira Okada, Kentaro Kamiya, Tadafumi Sugimoto, Katsuhito Fujiu, Nobuaki Michihata, Taisuke Jo, Norifumi Takeda, Hiroyuki Morita, Kouichi Tamura, Hideo Yasunaga, Issei Komuro
Publikováno v:
Journal of Cachexia, Sarcopenia and Muscle, Vol 14, Iss 1, Pp 642-652 (2023)
Abstract Background Although weight loss in heart failure (HF) is a detrimental condition known as cachexia, weight gain caused by fluid retention should also be considered harmful. However, studies with sufficient number of patients examining the im
Externí odkaz:
https://doaj.org/article/c6ca7400ac764c379ae8cec248704330
Autor:
Hiromasa Ito, Tadafumi Sugimoto, Yoshito Ogihara, Tairo Kurita, Masaki Tanabe, Masahiro Hirayama, Shuji Isaji, Kaoru Dohi
Publikováno v:
PLoS ONE, Vol 18, Iss 1, p e0280291 (2023)
The aim was to investigate the clinical characteristics of coronavirus disease 2019 (COVID-19) patients who were admitted to a designated hotel, and to clarify the risk factors for hospitalization of such patients with clinical deterioration. The med
Externí odkaz:
https://doaj.org/article/8059a95eb97b4cebb87fa4bda1b2d67f
Autor:
Jumpei Ishiwata, Masao Daimon, Koki Nakanishi, Tadafumi Sugimoto, Takayuki Kawata, Tomohiro Shinozaki, Tomoko Nakao, Megumi Hirokawa, Naoko Sawada, Yuriko Yoshida, Eisuke Amiya, Masaru Hatano, Hiroyuki Morita, Yutaka Yatomi, Issei Komuro
Publikováno v:
ESC Heart Failure, Vol 8, Iss 5, Pp 3947-3956 (2021)
Abstract Aims Although comprehensive assessment of right ventricular (RV) function using multiple echocardiographic parameters is recommended for management of patients with non‐ischaemic dilated cardiomyopathy (DCM), it is unclear which RV paramet
Externí odkaz:
https://doaj.org/article/d4ba9ee8ec9e4c02b0356aeab241626c
Autor:
Yuki Sahashi, Hirohisa Endo, Tadafumi Sugimoto, Takeru Nabeta, Kimitaka Nishizaki, Atsushi Kikuchi, Shingo Matsumoto, Hiroyuki Sato, Tadahiro Goto, Kohei Hasegawa, Yuya Matsue
Publikováno v:
Humanities & Social Sciences Communications, Vol 8, Iss 1, Pp 1-8 (2021)
Abstract Healthcare workers (HCWs) treating and caring for patients with emerging infectious diseases often experience psychological distress. However, the psychological impact and behavior change of the coronavirus disease 2019 (COVID-19) pandemic a
Externí odkaz:
https://doaj.org/article/f2103f2e87074ffb81f0c58ce81bb9f7
Autor:
Marco Guazzi, Barry Borlaug, Marco Metra, Maurizio Losito, Francesco Bandera, Eleonora Alfonzetti, Sara Boveri, Tadafumi Sugimoto
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 10, Iss 5 (2021)
Background In heart failure, the exercise gas exchange Weber (A to D) and ventilatory classifications (VC‐1 to VC‐4) historically define disease severity and prognosis. However, their applications in the modern heart failure population of any lef
Externí odkaz:
https://doaj.org/article/ace580024d174c969e0871a3404b2ba8
Akademický článek
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Autor:
Akihiro, Takasaki, Tairo, Kurita, Masashi, Yanagisawa, Ayaka, Ino, Daisuke, Hiramatsu, Akiyoshi, Ikami, Hiromasa, Ito, Takashi, Kato, Shusuke, Fukuoka, Tadafumi, Sugimoto, Tomoyuki, Nakata, Jun, Masuda, Masaki, Tanabe, Hitoshi, Kakimoto, Kaoru, Dohi
Publikováno v:
Circulation Reports. 4:412-421
Autor:
Tadafumi Sugimoto, Atsushi Mizuno, Daisuke Yoneoka, Shingo Matsumoto, Chisa Matsumoto, Yuya Matsue, Mari Ishida, Michikazu Nakai, Yoshitaka Iwanaga, Yoshihiro Miyamoto, Koichi Node
Publikováno v:
Circulation Reports. 4:353-362
Autor:
Akira Okada, Hidehiro Kaneko, Masaaki Konishi, Kentaro Kamiya, Tadafumi Sugimoto, Satoshi Matsuoka, Isao Yokota, Yuta Suzuki, Satoko Yamaguchi, Hidetaka Itoh, Katsuhito Fujiu, Nobuaki Michihata, Taisuke Jo, Hiroki Matsui, Kiyohide Fushimi, Norifumi Takeda, Hiroyuki Morita, Hideo Yasunaga, Issei Komuro
Publikováno v:
Clinical Research in Cardiology.
Background Scarce data on factors related to discharge disposition in patients hospitalized for acute heart failure (AHF) were available, and we sought to develop a parsimonious and simple predictive model for non-home discharge via machine learning.
Autor:
Kensuke Ueno, Hidehiro Kaneko, Kentaro Kamiya, Akira Okada, Hidetaka Itoh, Masaaki Konishi, Tadafumi Sugimoto, Yuta Suzuki, Satoshi Matsuoka, Katsuhito Fujiu, Nobuaki Michihata, Taisuke Jo, Norifumi Takeda, Hiroyuki Morita, Junya Ako, Koichi Node, Hideo Yasunaga, Issei Komuro
Publikováno v:
Journal of the American Geriatrics Society.