Diabetes & Metabolism Journal

Original Article

Predictive Factors for Efficacy of Dipeptidyl Peptidase-4 Inhibitors in Patients with Type 2 Diabetes Mellitus: Shusuke Yagi, Ken-ichi Aihara, Masashi Akaike, Daiju Fukuda, Hotimah Masdan Salim, Masayoshi Ishida, Tomomi Matsuura, Takayuki Ise, Koji Yamaguchi, Takashi Iwase, Hirotsugu Yamada, Takeshi Soeki, Tetsuzo Wakatsuki, Michio Shimabukuro, Toshio Matsumoto, Masataka Sata; Diabetes Metab J. 2015;39(4):342-347. Published online July 21, 2015; DOI: https://doi.org/10.4093/dmj.2015.39.4.342

3,997 View
54 Download
18 Web of Science
15 Crossref

Background

Predictive factors for the efficacy of dipeptidyl peptidase-4 (DPP-4) inhibitors for lowering glycosylated hemoglobin (HbA1c) remain unclear in patients with type 2 diabetes mellitus. The aim of this study is therefore to clarify predictive factors of the efficacy of DPP-4 inhibitors for lowering HbA1c after 12 months of treatment.

Methods

A total of 191 consecutive type 2 diabetic patients (male sex 55%, mean age, 68.3±35.8 years), who had been treated with DPP-4 inhibitors for 12 months, were enrolled in this study and evaluated retrospectively.

Results

After 12 months of DPP-4 inhibitor treatment, random blood glucose level, and HbA1c level, decreased from 167±63 to 151±49 mg/dL (P<0.01), and from 7.5%±1.3% to 6.9%±0.9% (P<0.01) respectively, without severe side effects. Multiple regression analysis showed that predictors of DPP-4 inhibitor treatment efficacy in lowering HbA1c level after 12 months were a decrease in HbA1c level after 3 months of treatment, a high baseline HbA1c level, a low baseline body mass index, and the absence of coronary artery disease.

Conclusion

Most suitable candidates for treatment with DPP-4 inhibitors are diabetics who are not obese and do not have coronary artery disease. In addition, long-term efficacy of DPP-4 inhibitors can be predicted by decrement of HbA1c after 3 months of treatment.

Citations

Citations to this article as recorded by

Endogenous GLP-1 levels play an important role in determining the efficacy of DPP-IV Inhibitors in both prediabetes and type 2 diabetes
Shiau Chin Chong, Norlela Sukor, Sarah Anne Robert, Kim Fong Ng, Nor Azmi Kamaruddin
Frontiers in Endocrinology.2022;[Epub] CrossRef
Dipeptidyl peptidase‐4 inhibitor, anagliptin, alters hepatic insulin clearance in relation to the glycemic status in Japanese individuals with type 2 diabetes
Takahiro Abe, Yasuhiro Matsubayashi, Sayaka Muragishi, Akihiro Yoshida, Hideki Suganami, Kenichi Furusawa, Kazuya Fujihara, Shiro Tanaka, Kohei Kaku, Hirohito Sone
Journal of Diabetes Investigation.2021; 12(10): 1805. CrossRef
Effects of omarigliptin on glucose variability and oxidative stress in type 2 diabetes patients: A prospective study
Makoto Ohara, Hiroe Nagaike, Tomoki Fujikawa, Yo Kohata, Maiho Ogawa, Takemasa Omachi, Risa Sasajima, Hirotoshi Chiba, Toshimasa Ara, Ayuka Sugawara, Munenori Hiromura, Michishige Terasaki, Yusaku Mori, Tomoyasu Fukui, Tsutomu Hirano, Hiroki Yokoyama, Sho
Diabetes Research and Clinical Practice.2021; 179: 108999. CrossRef
Factors associated with the glucose‐lowering efficacy of sitagliptin in Japanese patients with type 2 diabetes mellitus: Pooled analysis of Japanese clinical trials
Naoko Tajima, Jun‐ichi Eiki, Taro Okamoto, Kotoba Okuyama, Masaru Kawashima, Samuel S Engel
Journal of Diabetes Investigation.2020; 11(3): 640. CrossRef
Efficacy and safety of evogliptin versus sitagliptin as add on to metformin alone in a combined russian-korean population. Evo-combi trial
Alina Y. Babenko, Anna A. Mosikian, Igor E. Makarenko, Victoriya V. Leusheva, Evgeny V. Shlyakhto
Diabetes mellitus.2018; 21(4): 241. CrossRef
Predictors for the Treatment Effect of Sodium Glucose Co-transporter 2 Inhibitors in Patients with Type 2 Diabetes Mellitus
Shusuke Yagi, Ken-ichi Aihara, Takeshi Kondo, Kiyoe Kurahashi, Sumiko Yoshida, Itsuro Endo, Daiju Fukuda, Yutaka Nakaya, Kin-ichiro Suwaki, Takashi Takeji, Toshihiro Wada, Hotimah Masdan Salim, Saori Hama, Tomomi Matsuura, Takayuki Ise, Kenya Kusunose, Ko
Advances in Therapy.2018; 35(1): 124. CrossRef
Ethnic Differences in Efficacy and Safety of Alogliptin: A Systematic Review and Meta-Analysis
Yuli Cai, Tianshu Zeng, Zhongyuan Wen, Lulu Chen
Diabetes Therapy.2018; 9(1): 177. CrossRef
Effectiveness prediction of Evogliptin treatment in type 2 diabetes mellitus in russian-korean population
Anna A. Mosikian, Alina Y. Babenko, Yulia A. Sevastyanova, Roman V. Drai, Evgenij V. Shlyakhto
Diabetes mellitus.2018; 21(5): 333. CrossRef
Efficacy and Safety of Linagliptin in 2681 Asian Patients Stratified by Age, Obesity, and Renal Function: A Pooled Analysis of Randomized Clinical Trials
Guang Ning, Tushar Bandgar, Uwe Hehnke, Jisoo Lee, Juliana C. N. Chan
Advances in Therapy.2017; 34(9): 2150. CrossRef
Potential regulatory mechanisms of lncRNA in diabetes and its complications
Shui-Dong Feng, Ji-Hua Yang, Chao Hua Yao, Si-Si Yang, Ze-Mei Zhu, Di Wu, Hong-Yan Ling, Liang Zhang
Biochemistry and Cell Biology.2017; 95(3): 361. CrossRef
Baseline Body Mass Index and the Efficacy of Hypoglycemic Treatment in Type 2 Diabetes: A Meta-Analysis
Xiaoling Cai, Wenjia Yang, Xueying Gao, Lingli Zhou, Xueyao Han, Linong Ji, Francesco Giorgino
PLOS ONE.2016; 11(12): e0166625. CrossRef
Efficacy of hypoglycemic treatment in type 2 diabetes stratified by age or diagnosed age: a meta-analysis
Xiaoling Cai, Wenjia Yang, Yifei Chen, Xueying Gao, Lingli Zhou, Simin Zhang, Xueyao Han, Linong Ji
Expert Opinion on Pharmacotherapy.2016; 17(12): 1591. CrossRef
Pharmacokinetic, pharmacodynamic and clinical evaluation of saxagliptin in type 2 diabetes
Rose Anderson, Jennifer Hayes, Jeffrey W. Stephens
Expert Opinion on Drug Metabolism & Toxicology.2016; 12(4): 467. CrossRef
Letter: Predictive Factors for Efficacy of Dipeptidyl Peptidase-4 Inhibitors in Patients with Type 2 Diabetes Mellitus (Diabetes Metab J2015;39:342-7)
Ye An Kim
Diabetes & Metabolism Journal.2015; 39(5): 444. CrossRef
Response: Predictive Factors for Efficacy of Dipeptidyl Peptidase-4 Inhibitors in Patients with Type 2 Diabetes Mellitus (Diabetes Metab J2015;39:342-7)
Shusuke Yagi, Ken-ichi Aihara, Masataka Sata
Diabetes & Metabolism Journal.2015; 39(5): 446. CrossRef

First
Prev
Page of 1
Next
Last

Search