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SHI Fanghong, LI Hao, LIU Xiaoyan, ZHANG Zaili. Evaluation of hypoglycemic drug-drug interactions by software[J]. Journal of Pharmaceutical Practice and Service, 2018, 36(2): 166-169. doi: 10.3969/j.issn.1006-0111.2018.02.014
Citation: SHI Fanghong, LI Hao, LIU Xiaoyan, ZHANG Zaili. Evaluation of hypoglycemic drug-drug interactions by software[J]. Journal of Pharmaceutical Practice and Service, 2018, 36(2): 166-169. doi: 10.3969/j.issn.1006-0111.2018.02.014

Evaluation of hypoglycemic drug-drug interactions by software

doi: 10.3969/j.issn.1006-0111.2018.02.014
  • Received Date: 2017-11-17
  • Rev Recd Date: 2018-01-03
  • Objective To evaluate and analyze the drug-drug interactions (DDI) of different antidiabetic drugs. Methods DDI database Lexi-InteractionTM was used to evaluate DDI for 28 commonly used antidiabetic medications (including insulin and 27 non-insulin preparations). Results 882 DDIs were identified for 28 drugs. Category C was the top rated DDI (69.8%). Category C, D, X were accounted for 91.2% of the total DDI. 28 medication combinations belonged to category X, which should be avoided to use together. Sulfonylureas had the most DDI, followed by metformin. Alpha-glucosidase inhibitors had least DDI. Conclusion Hypoglycemic drugs with less DDI, such as α-glycosidase inhibitors, glucagon-likepeptide1(GLP-1)analogs and sodium-dependent glucose transporters 2 inhibitor (SGLT2i)should be considered with high priority for patients taking multiple antidiabetic medications, elderly patients and patients with liver-kidney dysfunction.
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    [2] Doucet J,Chassagne P,Trivalle C, et al. Drug-drug interactions related to hospital admissions in older adults:a prospective study of 1000 patients[J]. J Am Geriatr Soc, 1996, 44(8):944-948.
    [3] Hu DY, Pan CY, Yu JM,et al. The relationship between coronary artery disease and abnormal glucose regulation in China:the China Heart Survey[J]. Eur Heart J, 2006, 27(21):2573-2579.
    [4] Zhu M, Li J, Li Z, et al. Mortality rates and the causes of death related to diabetes mellitus in Shanghai Songjiang District:an 11-year retrospective analysis of death certificates[J]. BMC Endocr Disord, 2015, 15:45.
    [5] 应令雯, 周健. 2017年ADA糖尿病医学诊疗标准解读[J]. 中国医学前沿杂志(电子版), 2017, 9(1):48-55.
    [6] Lien D, Mader TJ. Survival from profound alcohol-related lactic acidosis[J]. J Emerg Med,1999,17(5):841-846.
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    [8] 母义明, 杨文英, 朱大龙,等. 磺脲类药物临床应用专家共识(2016年版)[J]. 药品评价, 2017, 14(1):5-12.
    [9] van Giersbergen PL, Treiber A, Clozel M, et al. In vivo and in vitro studies exploring the pharmacokinetic interaction between bosentan, a dual endothelin receptor antagonist, and glyburide[J]. Clin Pharmacol Ther,2002,71(4):253-262.
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Evaluation of hypoglycemic drug-drug interactions by software

doi: 10.3969/j.issn.1006-0111.2018.02.014

Abstract: Objective To evaluate and analyze the drug-drug interactions (DDI) of different antidiabetic drugs. Methods DDI database Lexi-InteractionTM was used to evaluate DDI for 28 commonly used antidiabetic medications (including insulin and 27 non-insulin preparations). Results 882 DDIs were identified for 28 drugs. Category C was the top rated DDI (69.8%). Category C, D, X were accounted for 91.2% of the total DDI. 28 medication combinations belonged to category X, which should be avoided to use together. Sulfonylureas had the most DDI, followed by metformin. Alpha-glucosidase inhibitors had least DDI. Conclusion Hypoglycemic drugs with less DDI, such as α-glycosidase inhibitors, glucagon-likepeptide1(GLP-1)analogs and sodium-dependent glucose transporters 2 inhibitor (SGLT2i)should be considered with high priority for patients taking multiple antidiabetic medications, elderly patients and patients with liver-kidney dysfunction.

SHI Fanghong, LI Hao, LIU Xiaoyan, ZHANG Zaili. Evaluation of hypoglycemic drug-drug interactions by software[J]. Journal of Pharmaceutical Practice and Service, 2018, 36(2): 166-169. doi: 10.3969/j.issn.1006-0111.2018.02.014
Citation: SHI Fanghong, LI Hao, LIU Xiaoyan, ZHANG Zaili. Evaluation of hypoglycemic drug-drug interactions by software[J]. Journal of Pharmaceutical Practice and Service, 2018, 36(2): 166-169. doi: 10.3969/j.issn.1006-0111.2018.02.014
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