Literature DB >> 26598090

Effect of Acarbose on Glycemic Variability in Patients with Poorly Controlled Type 2 Diabetes Mellitus Receiving Stable Background Therapy: A Placebo-Controlled Trial.

Giuseppe Derosa1,2,3, Ivano Franzetti4, Fabrizio Querci5, Angela D'Angelo1,3, Pamela Maffioli1,6.   

Abstract

STUDY
OBJECTIVE: To evaluate the effect of acarbose on glycemic control and glycemic variability, using a continuous glucose-monitoring system, in patients with type 2 diabetes mellitus who were not well controlled on metformin and vildagliptin therapy.
DESIGN: Multicenter, randomized, double-blind, placebo-controlled study.
SETTING: Clinical research units at three hospitals in Italy. PATIENTS: Fifty-three patients with type 2 diabetes who were taking stable dosages of metformin 850 mg 3 times/day and vildagliptin 50 mg twice/day for at least 3 months and who were not adequately controlled with these therapies. INTERVENTION: Patients were randomized to either placebo or acarbose 100 mg 3 times/day to be added to their metformin-vildagliptin regimen.
MEASUREMENTS AND MAIN RESULTS: Glycemic excursions were assessed by using a continuous glucose-monitoring system for 1 week. Glycemic control was estimated as the mean blood glucose (MBG) level, the area under the glucose concentration-time curve for a glucose level above 70 mg/dl (AUC above 70) or 180 mg/dl (AUC above 180), and the percentage of time that the glucose level was above 70 mg/dl (T above 70) or 180 mg/dl (T above 180). Intraday glycemic variability was assessed by the standard deviation of the blood glucose level, the mean amplitude of glycemic excursions (MAGE), the M value, and continuous overlapping net glycemic action. Day-to-day glycemic variability was assessed as the mean of daily difference (MODD). The MBG level was ~20 mg/dl lower in the acarbose group than in the placebo group (p<0.05), particularly during the postprandial period. The AUC above 70 did not significantly differ between the two groups, whereas the AUC above 180 was ~40% lower in the acarbose group than in the placebo group during the daytime (p<0.01). The T above 180 was significantly higher in the placebo group than in the acarbose group (31% vs 8%, p<0.01. Moreover, the standard deviation and MAGE values were significantly lower in the acarbose group. The MODD value was not significantly changed in either group, and no significant differences were recorded between groups. All adverse events were mild in both groups, with only a significantly greater frequency of flatulence noted in the acarbose group (5% with acarbose vs 0.5% with placebo, p<0.05).
CONCLUSION: The addition of acarbose to metformin and vildagliptin background therapy in patients with inadequately controlled type 2 diabetes decreased intraday glycemic variability, especially postprandial variability, but it was not associated with a significant change in interday glycemic variability.
© 2015 Pharmacotherapy Publications, Inc.

Entities:  

Keywords:  acarbose; continuous glucose-monitoring system; glycemic variability; vildagliptin

Mesh:

Substances:

Year:  2015        PMID: 26598090     DOI: 10.1002/phar.1648

Source DB:  PubMed          Journal:  Pharmacotherapy        ISSN: 0277-0008            Impact factor:   4.705


  5 in total

1.  Restricting carbohydrates at breakfast is sufficient to reduce 24-hour exposure to postprandial hyperglycemia and improve glycemic variability.

Authors:  Courtney R Chang; Monique E Francois; Jonathan P Little
Journal:  Am J Clin Nutr       Date:  2019-05-01       Impact factor: 7.045

Review 2.  Role of Continuous Glucose Monitoring in Clinical Trials: Recommendations on Reporting.

Authors:  Oliver Schnell; Katharine Barnard; Richard Bergenstal; Emanuele Bosi; Satish Garg; Bruno Guerci; Thomas Haak; Irl B Hirsch; Linong Ji; Shashank R Joshi; Maarten Kamp; Lori Laffel; Chantal Mathieu; William H Polonsky; Frank Snoek; Philip Home
Journal:  Diabetes Technol Ther       Date:  2017-05-22       Impact factor: 6.118

Review 3.  Glycemic Variability: How to Measure and Its Clinical Implication for Type 2 Diabetes.

Authors:  Guillermo E Umpierrez; Boris P Kovatchev
Journal:  Am J Med Sci       Date:  2018-10-02       Impact factor: 2.378

Review 4.  Novel trends and concepts in the nutritional management of glycemia in type 2 diabetes mellitus-beyond dietary patterns: a narrative review.

Authors:  Zoe Pafili; Charilaos Dimosthenopoulos
Journal:  Hormones (Athens)       Date:  2021-08-29       Impact factor: 2.885

5.  Impact of baseline characteristics on glycemic effects of add-on saxagliptin or acarbose to metformin therapy: Subgroup analysis of the SMART study in Chinese patients with type 2 diabetes mellitus.

Authors:  Hui Fang; Fengmei Xu; Jin Du; Li Liang; Wei Li; Liya Shen; Xueying Wang; Chun Xu; Fang Bian; Yiming Mu
Journal:  J Diabetes Investig       Date:  2020-03-27       Impact factor: 4.232

  5 in total

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