Literature DB >> 27127847

Dipeptidyl peptidase-4 inhibitor use is not associated with elevated risk of severe joint pain in patients with type 2 diabetes: a population-based cohort study.

Wen-Hsuan Hou1,2,3,4, Kai-Cheng Chang5, Chung-Yi Li6,7, Huang-Tz Ou5.   

Abstract

This is the first large longitudinal cohort study to investigate the putative association of severe joint pain (SJP) with dipeptidyl peptidase-4 inhibitor (DPP4i) use in patients with type 2 diabetes. The propensity score-matched population-based cohort study was performed between 2009 and 2013 in a group of type 2 diabetes patients with stable metformin use. In total, 4743 patients with type 2 diabetes used a DPP4i as the second-line antidiabetic drug (ie, DPP4i users), and the same number of matched non-DPP4i users was selected. The 2 study groups were followed up until SJP diagnosis (International Classification of Diseases, Ninth Reversion, Clinical Modification code 719.4), health insurance policy termination, or the end of 2013. The incidence rate of SJP was estimated under the Poisson assumption. Multiple Cox proportional hazard model was used to estimate the covariate-adjusted hazard ratio and 95% CI of SJP in association with DPP4i use. Over a maximum follow-up of 5 years, 679 DPP4i users and 767 non-DPP4i users were newly diagnosed with SJP, representing incidence rates of 47.20 and 50.66 per 1000 person-years, respectively. Cox proportional hazard model indicated that DPP4i use slightly but nonsignificantly reduced the risk of SJP (adjusted hazard ratio: 0.92 [95% CI: 0.83-1.02]). Such null results were also observed among all age and sex stratifications and in a sensitivity analysis using all nonspecific arthropathies as the study endpoint. This study provides no support for the putative risk of SJP related to DPP4i use in type 2 diabetes patients during a maximum follow-up of 5 years.

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Year:  2016        PMID: 27127847     DOI: 10.1097/j.pain.0000000000000596

Source DB:  PubMed          Journal:  Pain        ISSN: 0304-3959            Impact factor:   6.961


  10 in total

1.  Dipeptidyl peptidase-4 inhibitors lower the risk of autoimmune disease in patients with type 2 diabetes mellitus: A nationwide population-based cohort study.

Authors:  Jong-Mi Seong; Jeong Yee; Hye Sun Gwak
Journal:  Br J Clin Pharmacol       Date:  2019-06-04       Impact factor: 4.335

2.  Health Care Costs Associated With Macrovascular, Microvascular, and Metabolic Complications of Type 2 Diabetes Across Time: Estimates From a Population-Based Cohort of More Than 0.8 Million Individuals With Up to 15 Years of Follow-up.

Authors:  Hsuan-Ying Chen; Shihchen Kuo; Pei-Fang Su; Jin-Shang Wu; Huang-Tz Ou
Journal:  Diabetes Care       Date:  2020-05-22       Impact factor: 19.112

3.  Comparative cardiovascular risks of dipeptidyl peptidase 4 inhibitors with other second- and third-line antidiabetic drugs in patients with type 2 diabetes.

Authors:  Huang-Tz Ou; Kai-Cheng Chang; Chung-Yi Li; Jin-Shang Wu
Journal:  Br J Clin Pharmacol       Date:  2017-02-27       Impact factor: 4.335

4.  Linagliptin-Induced Arthralgia.

Authors:  Stefanie C Nigro; Jennifer D Goldman
Journal:  Clin Diabetes       Date:  2022-01

5.  Dipeptidyl peptidase-4 inhibitor use is associated with decreased risk of fracture in patients with type 2 diabetes: a population-based cohort study.

Authors:  Wen-Hsuan Hou; Kai-Cheng Chang; Chung-Yi Li; Huang-Tz Ou
Journal:  Br J Clin Pharmacol       Date:  2018-06-29       Impact factor: 4.335

6.  Dipeptidyl Peptidase-4 Inhibitors and Joint Pain: A Retrospective Cohort Study of Older Veterans with Type 2 Diabetes Mellitus.

Authors:  Pragya Rai; Nilanjana Dwibedi; Mazhgan Rowneki; Drew A Helmer; Usha Sambamoorthi
Journal:  Am Health Drug Benefits       Date:  2019-09

7.  Incidence of diabetes-related complications in Chinese patients with type 1 diabetes: a population-based longitudinal cohort study in Taiwan.

Authors:  Huang-Tz Ou; Tsung-Ying Lee; Chung-Yi Li; Jin-Shang Wu; Zih-Jie Sun
Journal:  BMJ Open       Date:  2017-06-21       Impact factor: 2.692

8.  Three-step matching algorithm to enhance between-group comparability and minimize confounding in comparative effectiveness studies.

Authors:  Chen-Yi Yang; Shihchen Kuo; Edward Chia-Cheng Lai; Huang-Tz Ou
Journal:  Sci Rep       Date:  2022-01-07       Impact factor: 4.379

9.  Adherence to Statins Use and Risk of Dementia among Patients with Diabetes and Comorbid Hyperlipidemia.

Authors:  Ching-Yuan Chang; Fang-Ju Lin; Jin-Liern Hong; Chung-Hsuen Wu
Journal:  Inquiry       Date:  2021 Jan-Dec       Impact factor: 1.730

10.  Comparative cardiovascular safety of GLP-1 receptor agonists versus other glucose-lowering agents in real-world patients with type 2 diabetes: a nationwide population-based cohort study.

Authors:  Chun-Ting Yang; Chen-Yi Yang; Huang-Tz Ou; Shihchen Kuo
Journal:  Cardiovasc Diabetol       Date:  2020-06-13       Impact factor: 9.951

  10 in total

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