著者
Toshiaki Ohkuma Hirofumi Tomiyama Toshiharu Ninomiya Kazuomi Kario Satoshi Hoshide Yoshikuni Kita Toyoshi Inoguchi Yasutaka Maeda Katsuhiko Kohara Yasuharu Tabara Motoyuki Nakamura Takayoshi Ohkubo Hirotaka Watada Masanori Munakata Mitsuru Ohishi Norihisa Ito Michinari Nakamura Tetsuo Shoji Charalambos Vlachopoulos Akira Yamashina on behalf of the Collaborative Group for Japan Brachial-Ankle pulse wave VELocity individual participant data meta-analysis of prospective studies (J-BAVEL)
出版者
日本循環器学会
雑誌
Circulation Journal (ISSN:13469843)
巻号頁・発行日
pp.CJ-17-0636, (Released:2017-08-24)
参考文献数
14
被引用文献数
33

Background:The optimal cutoff values of the brachial-ankle pulse wave velocity (baPWV) for predicting cardiovascular disease (CVD) were examined in patients with hypertension.Methods and Results:A total of 7,656 participants were followed prospectively. The hazard ratio for the development of CVD increased significantly as the baPWV increased, independent of conventional risk factors. The receiver-operating characteristic curve analysis showed that the optimal cutoff values for predicting CVD was 18.3 m/s. This cutoff value significantly predicted THE incidence of CVD.Conclusions:The present analysis suggests that the optimal cutoff value for CVD in patients with hypertension is 18.3 m/s.
著者
Asako Tsunemi Toyoyoshi Uchida Keiji Kuroda Yuko Ikemoto Asako Ochiai Hiromasa Goto Rikikazu Sugiyama Hiroaki Satoh Atsuo Itakura Hirotaka Watada
出版者
The Japan Endocrine Society
雑誌
Endocrine Journal (ISSN:09188959)
巻号頁・発行日
vol.68, no.2, pp.171-177, 2021 (Released:2021-02-28)
参考文献数
21
被引用文献数
2

Recent randomized controlled studies have revealed that levothyroxine (LT4) treatment improves pregnancy outcomes only in infertile women with subclinical hypothyroidism who have thyroid autoantibodies (TAs), but not for those with high TSH levels within the normal range who have TAs. Here, we retrospectively investigated pregnancy outcomes in infertile Japanese women with 2.5 μIU/mL ≤ TSH < upper reference limit (URL). Between 2012 and 2018, 286 patients diagnosed with infertility were followed for more than 1 year at our institution. Among them, we included 106 patients with 2.5 μIU/mL ≤ TSH < URL. We divided these patients into four groups based on the combination of TA positivity and LT4 treatment status to assess the effects of LT4 treatment considering TA positivity on the incidence of pregnancy or miscarriage. In this study, we did not find any significant differences in the rates of pregnancy or miscarriage among the four groups (p = 0.81 and 0.52, respectively). In addition, logistic regression analysis showed that age and history of miscarriage were associated with the incidence of pregnancy, but presence of TAs and LT4 treatment status were not and that no variables examined were associated with the incidence of miscarriage. In summary, we were not able to demonstrate the benefit of LT4 treatment for pregnancy outcomes in Japanese euthyroid infertile women with 2.5 μIU/mL ≤ TSH < URL regardless of TA status in this study.
著者
Ryotaro Bouchi Kazuo Izumi Hiroshi Ohtsu Kengo Miyo Shigeho Tanaka Noriko Satoh-Asahara Kazuo Hara Masato Odawara Yoshiki Kusunoki Hidenori Koyama Takeshi Onoue Hiroshi Arima Kazuyo Tsushita Hirotaka Watada Takashi Kadowaki Kohjiro Ueki
出版者
National Center for Global Health and Medicine
雑誌
GHM Open (ISSN:2436293X)
巻号頁・発行日
vol.1, no.1, pp.3-11, 2021-08-29 (Released:2021-09-01)
参考文献数
30

The use of the Internet-of-Things has improved glycemic control in individuals with diabetes in several small-scale studies with a short follow-up period. This large-scale randomized controlled trial investigates whether a smartphone-based self-management support system prevents the worsening of glycemic control in individuals with type 2 diabetes. Individuals with type 2 diabetes (age range 20-74 years; n = 2,000) will be recruited, enrolled, and randomly assigned to two groups: the intensive therapy group and the conventional therapy group. Participants in the intensive therapy group will be supervised to use an automated Internet-of-Things system that demonstrates a summary of lifelogging data (e.g., weight, blood pressure, and daily activities) obtained from each measurement device and will receive feedback messages via smartphone applications to encourage them to increase their physical activity and to monitor weight and blood pressure. Participants in the conventional therapy group are allowed to use the same measurement devices as part of the routine diabetes care but without the Internet-of-Things system. The primary endpoint is the between-group difference in HbA1c levels from baseline to 52 weeks. This randomized controlled study will test the hypothesis that an Internet-of-Things-based self-monitoring system could effectively prevent the worsening of diabetes in individuals with type 2 diabetes. The expected results of the study should facilitate the development of novel strategies for both diabetes treatment and social health.