Zobrazeno 1 - 10
of 120
pro vyhledávání: '"Takayuki, Akiyama"'
Autor:
Satoshi Gando, Takayuki Akiyama
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract This study aimed to investigate the incidence and significance of disseminated intravascular coagulation (DIC) in coronavirus disease 2019 (COVID-19). A multicenter cohort study was conducted using large-scale COVID-19 registry data. The pat
Externí odkaz:
https://doaj.org/article/13ac54be59194f6eb141a510fb2f443e
Autor:
Nobuaki Matsunaga, Keisuke Kamata, Yusuke Asai, Shinya Tsuzuki, Yasuaki Sakamoto, Shinpei Ijichi, Takayuki Akiyama, Jiefu Yu, Gen Yamada, Mari Terada, Setsuko Suzuki, Kumiko Suzuki, Sho Saito, Kayoko Hayakawa, Norio Ohmagari
Publikováno v:
Infectious Disease Modelling, Vol 7, Iss 3, Pp 526-534 (2022)
With the rapid increase in the number of COVID-19 patients in Japan, the number of patients receiving oxygen at home has also increased rapidly, and some of these patients have died. An efficient approach to identify high-risk patients with slowly pr
Externí odkaz:
https://doaj.org/article/093844a059c9499c936533603e38bf30
Autor:
Kensuke Shoji, Shinya Tsuzuki, Takayuki Akiyama, Nobuaki Matsunaga, Yusuke Asai, Setsuko Suzuki, Noriko Iwamoto, Takanori Funaki, Masaki Yamada, Nobuaki Ozawa, Koushi Yamaguchi, Isao Miyairi, Norio Ohmagari
Publikováno v:
Journal of Infection and Chemotherapy. 29:33-38
Information regarding effects of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variant strains on clinical manifestations and outcomes of coronavirus disease 2019 (COVID-19) in pregnant women is limited.A retrospective observational st
Autor:
Shinya Tsuzuki, Takayuki Akiyama, Nobuaki Matsunaga, Koji Yahara, Keigo Shibayama, Motoyuki Sugai, Norio Ohmagari
Publikováno v:
PLoS ONE, Vol 15, Iss 10, p e0240655 (2020)
ObjectivesTo examine the association between penicillin susceptibility of Streptococcus pneumoniae and penicillin consumption in Japan.MethodsWe used Japan Nosocomial Infection Surveillance data on the susceptibility of S. pneumoniae and sales data o
Externí odkaz:
https://doaj.org/article/f8c14700d53b4d26856147928051be9e
Autor:
Kensuke Shoji, Takayuki Akiyama, Shinya Tsuzuki, Nobuaki Matsunaga, Yusuke Asai, Setsuko Suzuki, Noriko Iwamoto, Takanori Funaki, Norio Ohmagari
Publikováno v:
Journal of Infection and Chemotherapy. 28:1531-1535
Information regarding the clinical manifestations and outcomes of coronavirus disease 2019 (COVID-19) in children under the Omicron variant predominant period is still limited.A nationwide retrospective cohort study was conducted. Pediatric COVID-19
Autor:
Kensuke Shoji, Shinya Tsuzuki, Takayuki Akiyama, Nobuaki Matsunaga, Yusuke Asai, Setsuko Suzuki, Noriko Iwamoto, Takanori Funaki, Masaki Yamada, Nobuaki Ozawa, Koushi Yamaguchi, Isao Miyairi, Norio Ohmagari
Publikováno v:
Clinical Infectious Diseases. 75:e397-e402
Background Several studies have investigated whether pregnancy is a risk factor for developing severe coronavirus disease 2019 (COVID-19); however, the results remain controversial. In addition, the information regarding risk factors for developing s
Publikováno v:
Nihon Chikusan Gakkaiho. 92:511-517
BackgroundJapan is fast becoming an extremely aged society and older adults are known to be at risk of severe COVID-19. However, the impact of risk factors specific to this population for severe COVID-19 caused by the Omicron variant of concern (VOC)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::683b05d06bba57e2172ebf98633da02a
https://doi.org/10.1101/2022.07.01.22277144
https://doi.org/10.1101/2022.07.01.22277144
Autor:
Michael Lorenz, Gabriele Bleser, Takayuki Akiyama, Takehiro Niikura, Didier Stricker, Bertram Taetz
Publikováno v:
2022 International Conference on Robotics and Automation (ICRA).
Publikováno v:
Epidemiology and Infection. 150
The risk factors specific to the elderly population for severe coronavirus disease 2019 (COVID-19) caused by the Omicron variant of concern (VOC) are not yet clear. We performed an exploratory analysis using logistic regression to identify risk facto