PREDICTIVE ROLE OF BASELINE CLINICAL CHARACTERISTICS REGARDING THE TREATMENT EFFICACY OF LIRAGLUTIDE IN PATIENTS WITH TYPE 2 DIABETES MELLITUS
Main Article Content
Keywords
liraglutide, hypoglycemic response, predictive factors, type 2 diabetes mellitus
Abstract
Background: Liraglutide is widely used in the treatment of type 2 diabetes mellitus (T2DM) because of its proven benefits in lowering blood glucose, reducing body weight, improving blood pressure, regulating blood lipids, and providing cardiovascular protection. However, liraglutide has been shown to be less effective in lowering glucose in some patients. The purpose of this study was to explore the factors affecting the glucose-lowering efficacy of liraglutide in patients with T2DM and to promote a rational basis for liraglutide application.
Methods: This was a retrospective cohort study involving patients with T2DM who were administered liraglutide once daily as a part of their diabetes care for at least 6 months. They were divided into two groups: responders (HbA1c decrease ≥1.0% or HbA1c <7.0% after 6 months of liraglutide treatment) and non-responders. The intergroup differences in the baseline data were analyzed, including basic profiles, test parameters, and comedications. The influencing factors of hypoglycemic efficacy were investigated using a binary logistic regression analysis.
Results: A total of 206 patients were included according to the inclusion criteria; 132 were responders and 74 were non-responders to liraglutide after 6 months of liraglutide therapy. According to the binary logistic regression analysis, age, baseline HbA1c, baseline postprandial plasma glucose (PPG), and duration of diabetes mellitus were found to be predictors of the hypoglycemic efficacy of liraglutide (P <0.05). A further linear regression analysis showed that patients with baseline HbA1c ≥7.31% had greater potential for response to liraglutide.
Conclusion: The identification of the abovementioned predictors for the hypoglycemic efficacy of liraglutide and the evaluation and prediction of the efficacy of liraglutide before its clinical application can facilitate individualized drug use.
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Jinfang Song
Department of Pharmacy, Affiliated Hospital of Jiangnan University, Wuxi, China.
Xiaojun Pan
Department of Pharmacy, Wuxi No.5 People's Hospital, Wuxi, China.
Jiang Ni
Department of Pharmacy, Affiliated Hospital of Jiangnan University, Wuxi, China.
Ruonan Hu
Jiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, China.
Ya Chen
Department of Endocrinology, Affiliated Hospital of Jiangnan University, Wuxi, China.
Yongjuan Ding
Department of Pharmacy, Affiliated Hospital of Jiangnan University, No.1000, Hefeng Road, Wuxi City 224000, Jiangsu Province
Xia Li
Department of Pharmacy, Affiliated Hospital of Jiangnan University, No.1000, Hefeng Road, Wuxi City 224000, Jiangsu Province