Literature DB >> 30967434

Glucose Variables in Type 1 Diabetes Studies With Dapagliflozin: Pooled Analysis of Continuous Glucose Monitoring Data From DEPICT-1 and -2.

Chantal Mathieu1, Paresh Dandona2, Moshe Phillip3,4, Tal Oron3,4, Marcus Lind5,6, Lars Hansen7, Fredrik Thorén8, John Xu9, Anna Maria Langkilde8.   

Abstract

OBJECTIVE: This pooled analysis assessed continuous glucose monitoring (CGM) in patients with inadequately controlled type 1 diabetes (HbA1c ≥7.7 to ≤11.0% [≥61 to ≤97 mmol/mol]) who received dapagliflozin as an adjunct to adjustable insulin. RESEARCH DESIGN AND METHODS: CGM data were pooled from two 24-week, double-blind, randomized, phase 3 studies: Dapagliflozin Evaluation in Patients with Inadequately Controlled Type 1 Diabetes (DEPICT-1 and DEPICT-2). These studies comprised 1,591 patients receiving dapagliflozin 5 mg (n = 530), dapagliflozin 10 mg (n = 529), or placebo (n = 532).
RESULTS: Baseline characteristics were balanced between treatment groups. Patients receiving dapagliflozin 5 mg or 10 mg both spent more time with blood glucose in the range >3.9 to ≤10.0 mmol/L (>70 to ≤180 mg/dL) over 24 h than those receiving the placebo. The adjusted mean (SE) change from baseline at week 24 was 6.48% (0.60) with dapagliflozin 5 mg, 8.08% (0.60) with dapagliflozin 10 mg, and -2.59% (0.61) with placebo. At week 24, the mean amplitude of glucose excursion over 24 h, mean 24-h glucose values, and postprandial glucose values were also improved in patients receiving dapagliflozin over those receiving placebo. No marked differences were found at week 24 between dapagliflozin 5 or 10 mg and placebo in the percentage of glucose values ≤3.9 mmol/L (≤70 mg/dL) or ≤3.0 mmol/L (≤54 mg/dL) over 24 h, or in nocturnal (0000-0559 h) glucose values ≤3.9 mmol/L (≤70 mg/dL).
CONCLUSIONS: In patients with type 1 diabetes, treatment with dapagliflozin over 24 weeks improved time in range, mean glucose, and glycemic variability without increasing the time spent in the range indicating hypoglycemia.
© 2019 by the American Diabetes Association.

Entities:  

Mesh:

Substances:

Year:  2019        PMID: 30967434     DOI: 10.2337/dc18-1983

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  15 in total

1.  12th Roche Diabetes Care Network Meeting: April 11-13, 2019, Copenhagen, Denmark.

Authors:  Christopher G Parkin; Christine Zepezauer; Rolf Hinzmann
Journal:  Diabetes Technol Ther       Date:  2020-01-14       Impact factor: 6.118

2.  Hemoglobin A1c modifies the association between triglyceride and time in hypoglycemia determined by flash glucose monitoring in adults with type 1 diabetes: implications for individualized therapy and decision-making.

Authors:  Yiwen Liu; Jie Yu; Chifa Ma; Shuli He; Fan Ping; Huabing Zhang; Wei Li; Lingling Xu; Xinhua Xiao; Yuxiu Li
Journal:  Ann Transl Med       Date:  2021-04

Review 3.  Dapagliflozin as an Adjunct Therapy to Insulin in Patients with Type 1 Diabetes Mellitus: Efficacy and Safety of this Combination.

Authors:  Johan H Jendle; Francisco J Ampudia-Blasco; Martin Füchtenbusch; Paolo Pozzilli
Journal:  touchREV Endocrinol       Date:  2021-04-28

Review 4.  Glycemic variability: adverse clinical outcomes and how to improve it?

Authors:  Zheng Zhou; Bao Sun; Shiqiong Huang; Chunsheng Zhu; Meng Bian
Journal:  Cardiovasc Diabetol       Date:  2020-07-04       Impact factor: 9.951

Review 5.  Role of sodium-glucose cotransporter 2 inhibition to mitigate diabetic kidney disease risk in type 1 diabetes.

Authors:  Daniël H van Raalte; Petter Bjornstad
Journal:  Nephrol Dial Transplant       Date:  2020-01-01       Impact factor: 5.992

Review 6.  Optimising the Benefits of SGLT2 Inhibitors for Type 1 Diabetes.

Authors:  Marc Evans; Debbie Hicks; Dipesh Patel; Vinod Patel; Phil McEwan; Umesh Dashora
Journal:  Diabetes Ther       Date:  2019-12-07       Impact factor: 2.945

Review 7.  Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range.

Authors:  Tadej Battelino; Thomas Danne; Richard M Bergenstal; Stephanie A Amiel; Roy Beck; Torben Biester; Emanuele Bosi; Bruce A Buckingham; William T Cefalu; Kelly L Close; Claudio Cobelli; Eyal Dassau; J Hans DeVries; Kim C Donaghue; Klemen Dovc; Francis J Doyle; Satish Garg; George Grunberger; Simon Heller; Lutz Heinemann; Irl B Hirsch; Roman Hovorka; Weiping Jia; Olga Kordonouri; Boris Kovatchev; Aaron Kowalski; Lori Laffel; Brian Levine; Alexander Mayorov; Chantal Mathieu; Helen R Murphy; Revital Nimri; Kirsten Nørgaard; Christopher G Parkin; Eric Renard; David Rodbard; Banshi Saboo; Desmond Schatz; Keaton Stoner; Tatsuiko Urakami; Stuart A Weinzimer; Moshe Phillip
Journal:  Diabetes Care       Date:  2019-06-08       Impact factor: 19.112

8.  Time in Range: How to Measure It, How to Report It, and Its Practical Application in Clinical Decision-Making.

Authors:  Eugene E Wright; Kayla Morgan; Danny K Fu; Nick Wilkins; William J Guffey
Journal:  Clin Diabetes       Date:  2020-12

9.  Effect of short-term use of dapagliflozin on impaired awareness of hypoglycaemia in people with type 1 diabetes.

Authors:  Lian A van Meijel; Cees J Tack; Bastiaan E de Galan
Journal:  Diabetes Obes Metab       Date:  2021-08-16       Impact factor: 6.408

Review 10.  Dapagliflozin: A Review in Type 1 Diabetes.

Authors:  Julia Paik; Hannah A Blair
Journal:  Drugs       Date:  2019-11       Impact factor: 9.546

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.