Literature DB >> 24492232

[Evaluation of the association between the use of oral anti-hyperglycemic agents and hypoglycemia in Japan by data mining of the Japanese Adverse Drug Event Report (JADER) database].

Ryogo Umetsu1, Yuri Nishibata, Junko Abe, Yukiya Suzuki, Hideaki Hara, Hideko Nagasawa, Yasutomi Kinosada, Mitsuhiro Nakamura.   

Abstract

Hypoglycemia due to treatment with oral anti-hyperglycemic agents (OHAs) is a major clinical problem in patients with type 2 diabetes mellitus. The aim of the present study was to evaluate the risk of hypoglycemia due to OHA use by using the Japanese Adverse Drug Event Report (JADER) database. To this end, reports of hypoglycemia events included in the JADER database between 2004 and 2012 were analyzed by calculating the reporting odds ratio (OR). The Medical Dictionary for Regulatory Activities Preferred Terms was used to identify hypoglycemia; 254392 reports were found in the JADER database, of which 13269 were excluded because the age and sex of the patient were not reported. Finally, 241123 reports were analyzed. Among OHAs, sulfonylureas showed the highest adjusted OR (adjusted OR, 10.13; 95% confidence interval, 9.08-11.26). The adjusted ORs for meglitinides, biguanide, thiazolidinedione, alpha-glucosidase inhibitors, and dipeptidyl peptidase-4 inhibitors were significantly lower than that of sulfonylureas. The adjusted OR of meglitinides (3.17; 95% confidence interval, 2.23-4.36) was significantly higher than that of alpha-glucosidase inhibitors or thiazolidinedione. We observed no difference between the adjusted ORs for biguanide, thiazolidinedione, alpha-glucosidase inhibitors, and dipeptidyl peptidase-4 inhibitors. Data mining of the JADER database was useful for analyzing OHA-associated hypoglycemia events. The results of our study suggested a low risk of hypoglycemia associated with biguanide, thiazolidinedione, alpha-glucosidase inhibitors, and dipeptidyl peptidase-4 inhibitors in clinical practice.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 24492232     DOI: 10.1248/yakushi.13-00225

Source DB:  PubMed          Journal:  Yakugaku Zasshi        ISSN: 0031-6903            Impact factor:   0.302


  5 in total

1.  Thromboembolic adverse event study of combined estrogen-progestin preparations using Japanese Adverse Drug Event Report database.

Authors:  Shiori Hasegawa; Toshinobu Matsui; Yuuki Hane; Junko Abe; Haruna Hatahira; Yumi Motooka; Sayaka Sasaoka; Akiho Fukuda; Misa Naganuma; Kouseki Hirade; Yukiko Takahashi; Yasutomi Kinosada; Mitsuhiro Nakamura
Journal:  PLoS One       Date:  2017-07-21       Impact factor: 3.240

2.  A Pharmacovigilance Approach for Post-Marketing in Japan Using the Japanese Adverse Drug Event Report (JADER) Database and Association Analysis.

Authors:  Masakazu Fujiwara; Yohei Kawasaki; Hiroshi Yamada
Journal:  PLoS One       Date:  2016-04-27       Impact factor: 3.240

3.  Analysis of the time-to-onset of osteonecrosis of jaw with bisphosphonate treatment using the data from a spontaneous reporting system of adverse drug events.

Authors:  Mitsuhiro Nakamura; Ryogo Umetsu; Junko Abe; Toshinobu Matsui; Natsumi Ueda; Yamato Kato; Sayaka Sasaoka; Kohei Tahara; Hirofumi Takeuchi; Yasutomi Kinosada
Journal:  J Pharm Health Care Sci       Date:  2015-12-22

4.  Drug-induced gingival hyperplasia: a retrospective study using spontaneous reporting system databases.

Authors:  Haruna Hatahira; Junko Abe; Yuuki Hane; Toshinobu Matsui; Sayaka Sasaoka; Yumi Motooka; Shiori Hasegawa; Akiho Fukuda; Misa Naganuma; Tomofumi Ohmori; Yasutomi Kinosada; Mitsuhiro Nakamura
Journal:  J Pharm Health Care Sci       Date:  2017-07-19

5.  Effects of 5-HT receptor antagonists on cisplatin-induced kidney injury.

Authors:  Mitsuhiro Goda; Masaya Kanda; Toshihiko Yoshioka; Ami Yoshida; Yoichi Murai; Yoshito Zamami; Fuka Aizawa; Takahiro Niimura; Hirofumi Hamano; Naoto Okada; Kenta Yagi; Masayuki Chuma; Yuki Izawa-Ishizawa; Keisuke Ishizawa
Journal:  Clin Transl Sci       Date:  2021-06-02       Impact factor: 4.689

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.