Literature DB >> 23700263

Effects of a sitagliptin safety alert on prescription behaviour for oral antihyperglycaemic drugs: a propensity score-matched cohort study of prescription receipt data in Japan.

Daisaku Sato1, Yasunori Sato, Sachiko Masuda, Hiromichi Kimura.   

Abstract

BACKGROUND: Sitagliptin, the first of a new class of dipeptidyl peptidase-4 (DPP-4)-inhibitory oral antihyperglycaemic drugs (OHDs), was introduced in Japan in December 2009. In April 2010 a safety alert was issued regarding the risk of serious hypoglycaemic events, and prescribers were recommended to reduce the dose of sulfonylurea (i.e. glimepiride, glibenclamide [glyburide] or gliclazide) in patients receiving a combination of sulfonylurea and sitagliptin.
OBJECTIVE: A propensity score-matched cohort study was performed using Japanese pharmacy prescription receipt data for OHDs in order to confirm reported changes in OHD prescription behaviour for patients receiving sitagliptin before and after the safety alert.
METHODS: Prescription data from about 6,500 medical institutions throughout Japan during December 2009 to 31 December 2010 were randomly collected from 300 pharmacies, covering 82,064 patients with 629,955 prescriptions for OHDs. Patients who had received a sulfonylurea and sitagliptin (1,788 patients/3,576 prescriptions) before the safety alert were designated as the DPP-4 group. Patients who had received a sulfonylurea but not sitagliptin (30,963 patients/61,926 prescriptions) before the alert were designated as the non-DPP-4 group. Propensity score matching was employed to match baseline characteristics, such as age, sex, type of OHD, metformin use, type of prescribers period for measuring baseline period and type of prescribers' institutions, for 1,783 patients from each group. In the matched cohort, logistic regression analysis was conducted to compare prescription trends before and after the alert. The primary outcome measure of this study was dose of glimepiride, glibenclamide or gliclazide prescribed for DPP-4 and non-DPP-4 patients.
RESULTS: In the propensity score-matched cohort, the proportion of glimepiride dose >2 mg of DPP-4 patients was reduced from 45.8 % in Period 1 (before the alert) to 37.5 % in Period 2 (after the alert) (odds ratio [OR] 0.71; 95 % CI 0.579-0.870), whereas in the case of non-DPP-4 patients the proportion was changed from 28.9 % to 29.5 % in the matched cohort (OR 1.03; 95 % CI 0.868-1.215). The mean prescribed glimepiride dose in DPP-4 patients was also reduced from 2.79 ± 1.81 mg in Period 1 (before the alert) to 2.38 ± 1.71 mg in Period 2 (after the alert) [p < 0.0001], whereas the corresponding change in the case of non-DPP-4 patients was from 2.01 ± 1.56 mg to 2.01 ± 1.54 mg (p = 0.94). The difference between the mean prescribed doses in the two groups was statistically significant in both periods. Similar trends of prescription pattern changes were seen for glibenclamide and gliclazide. The reduction of prescribed sulfonylurea dose in DPP-4 patients following the safety alert coincided with a decrease of adverse event reports.
CONCLUSION: Our results indicate that propensity score matching to control for baseline characteristics of individual patients and prescribers is a useful approach to avoid selection bias and confounding effects in evaluating the influence of an event on prescription behaviour. This case-matched study indicated that sulfonylurea prescription behaviour changed significantly after the sitagliptin safety alert. There was a significant reduction in sulfonylurea dose after the alert in DPP-4 patients, but not in non-DPP-4 patients. Our findings should be helpful for assessing and improving the effectiveness of other regulatory safety alerts.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23700263     DOI: 10.1007/s40264-013-0068-0

Source DB:  PubMed          Journal:  Drug Saf        ISSN: 0114-5916            Impact factor:   5.606


  11 in total

Review 1.  Why don't physicians follow clinical practice guidelines? A framework for improvement.

Authors:  M D Cabana; C S Rand; N R Powe; A W Wu; M H Wilson; P A Abboud; H R Rubin
Journal:  JAMA       Date:  1999-10-20       Impact factor: 56.272

2.  Dose-ranging efficacy of sitagliptin, a dipeptidyl peptidase-4 inhibitor, in Japanese patients with type 2 diabetes mellitus.

Authors:  Yasuhiko Iwamoto; Tadaaki Taniguchi; Kenji Nonaka; Taro Okamoto; Kotoba Okuyama; Juan Camilo Arjona Ferreira; John Amatruda
Journal:  Endocr J       Date:  2010-03-24       Impact factor: 2.349

3.  Propensity score methods for bias reduction in the comparison of a treatment to a non-randomized control group.

Authors:  R B D'Agostino
Journal:  Stat Med       Date:  1998-10-15       Impact factor: 2.373

4.  Efficacy and safety of sitagliptin monotherapy compared with voglibose in Japanese patients with type 2 diabetes: a randomized, double-blind trial.

Authors:  Y Iwamoto; N Tajima; T Kadowaki; K Nonaka; T Taniguchi; M Nishii; J C Arjona Ferreira; J M Amatruda
Journal:  Diabetes Obes Metab       Date:  2010-07       Impact factor: 6.577

5.  Dipeptidyl peptidase-4 inhibitors for treatment of type 2 diabetes mellitus in the clinical setting: systematic review and meta-analysis.

Authors:  Thomas Karagiannis; Paschalis Paschos; Konstantinos Paletas; David R Matthews; Apostolos Tsapas
Journal:  BMJ       Date:  2012-03-12

6.  Efficacy and safety of the dipeptidyl peptidase-4 inhibitor, sitagliptin, in patients with type 2 diabetes mellitus inadequately controlled on glimepiride alone or on glimepiride and metformin.

Authors:  K Hermansen; M Kipnes; E Luo; D Fanurik; H Khatami; P Stein
Journal:  Diabetes Obes Metab       Date:  2007-06-26       Impact factor: 6.577

7.  Impact of the sitagliptin alert on prescription of oral antihyperglycemic drugs in Japan.

Authors:  Daisaku Sato; Yasunori Sato; Sachiko Masuda; Hiromichi Kimura
Journal:  Int J Clin Pharm       Date:  2012-09-01

8.  An Introduction to Propensity Score Methods for Reducing the Effects of Confounding in Observational Studies.

Authors:  Peter C Austin
Journal:  Multivariate Behav Res       Date:  2011-06-08       Impact factor: 5.923

9.  Present status of insulin therapy for type 2 diabetes treated by general practitioners and diabetes specialists in Japan: Third report of a cross-sectional survey of 15,652 patients.

Authors:  Keiko Arai; Masahiko Takai; Koichi Hirao; Ikuro Matsuba; Kiyokazu Matoba; Hiroshi Takeda; Akira Kanamori; Mikio Yamauchi; Hisao Mori; Yasuo Terauchi
Journal:  J Diabetes Investig       Date:  2012-08-20       Impact factor: 4.232

10.  Relationship between glycated haemoglobin levels and mean glucose levels over time.

Authors:  D M Nathan; H Turgeon; S Regan
Journal:  Diabetologia       Date:  2007-09-13       Impact factor: 10.122

View more
  3 in total

1.  Impact of risk minimisation measures on the use of strontium ranelate in Europe: a multi-national cohort study in 5 EU countries by the EU-ADR Alliance.

Authors:  K Berencsi; A Sami; M S Ali; K Marinier; N Deltour; S Perez-Gutthann; L Pedersen; P Rijnbeek; J Van der Lei; F Lapi; M Simonetti; C Reyes; M C J M Sturkenboom; D Prieto-Alhambra
Journal:  Osteoporos Int       Date:  2019-11-06       Impact factor: 4.507

2.  Evaluation of insulin regimens as an effective option for glycemic control in patients with type 2 diabetes: A propensity score-matched cohort study across Japan (JDDM31).

Authors:  Azuma Kanatsuka; Yasunori Sato; Koichi Kawai; Koichi Hirao; Masashi Kobayashi; Atsunori Kashiwagi
Journal:  J Diabetes Investig       Date:  2014-02-26       Impact factor: 4.232

3.  Relationship between the efficacy of oral antidiabetic drugs and clinical features in type 2 diabetic patients (JDDM38).

Authors:  Azuma Kanatsuka; Yasunori Sato; Koichi Kawai; Koichi Hirao; Masashi Kobayashi; Atsunori Kashiwagi; Nobuyuki Abe; Keiko Arai; Hiroshi Fujiya; Yoshihide Fukumoto; Fumihiko Dake; Tomohiro Iizumi; Masaaki Ito; Koichi Iwasaki; Akira Kanamori; Sumio Kato; Masakazu Kato; Akira Kawara; Kenichi Kimura; Kazumasa Chikamori; Kotaro Iemitsu; Shigetake Kou; Mikihiko Kudo; Yoshio Kurihara; Gendai Lee; Akira Tsuruoka; Naoki Manda; Kiyokazu Matoba; Hiroshi Hayashi; Masae Minami; Nobuichi Kuribayashi; Kazuhiro Miyazawa; Yasuko Chiba; Takeshi Osonoi; Shin Nakamura; Hideo Sasaki; Katsutoshi Komori; Mariko Oishi; Akira Okada; Fuminobu Okuguchi; Morifumi Yanagisawa; Hidekatsu Sugimoto; Hiromichi Sugiyama; Masahiko Takai; Masato Takaki; Hiroshi Takamura; Hiroshi Takeda; Hiroshi Takeda; Kokichi Tanaka; Takashi Miwa; Osamu Tomonaga; Madoka Taguchi; Katsuya Yamazaki; Takako Wada; Noriharu Yagi; Kuniko Yamaoka; Atsuyoshi Yuhara
Journal:  J Diabetes Investig       Date:  2015-11-12       Impact factor: 4.232

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.