Continuous Glucose Monitoring Profiles and Health Outcomes After Dapagliflozin Plus Saxagliptin vs Insulin Glargine.

Autor: Simonson DC; Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA., Testa MA; Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA.; Department of Research and Development, Phase V Technologies, Inc., Wellesley Hills, MA 02481, USA., Ekholm E; Division of Cardiovascular, Renal and Metabolism (CVRM), AstraZeneca R&D, 431 83 Gothenburg, Sweden., Su M; Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA 02115, USA.; Department of Research and Development, Phase V Technologies, Inc., Wellesley Hills, MA 02481, USA., Vilsbøll T; Clinical Research, Steno Diabetes Center Copenhagen, 2730 Herlev, Denmark.; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark., Jabbour SA; Division of Endocrinology, Diabetes & Metabolic Diseases, Thomas Jefferson University, Philadelphia, PA 19107, USA., Lind M; Department of Molecular and Clinical Medicine, Institute of Medicine, University of Gothenburg, 405 30 Gothenburg, Sweden.; Department of Medicine, Sahlgrenska University Hospital, 413 45 Gothenburg, Sweden.; Department of Medicine, NU-Hospital Group, 461 85 Trollhättan and 451 80 Uddevalla, Sweden.
Jazyk: angličtina
Zdroj: The Journal of clinical endocrinology and metabolism [J Clin Endocrinol Metab] 2024 Nov 18; Vol. 109 (12), pp. e2261-e2272.
DOI: 10.1210/clinem/dgae105
Abstrakt: Context: Glycemic variability and hypoglycemia during diabetes treatment may impact therapeutic effectiveness and safety, even when glycated hemoglobin (HbA1c) reduction is comparable between therapies.
Objective: We employed masked continuous glucose monitoring (CGM) during a randomized trial of dapagliflozin plus saxagliptin (DAPA + SAXA) vs insulin glargine (INS) to compare glucose variability and patient-reported outcomes (PROs).
Design: 24-week substudy of a randomized, open-label, 2-arm, parallel-group, phase 3b study.
Setting: Multicenter study (112 centers in 11 countries).
Patients: 283 adults with type 2 diabetes (T2D) inadequately controlled with metformin ± sulfonylurea.
Interventions: DAPA + SAXA vs INS.
Main Outcome Measures: Changes in CGM profiles, HbA1c, and PROs.
Results: Changes from baseline in HbA1c with DAPA + SAXA were similar to those observed with INS, with mean difference [95% confidence interval] between decreases of -0.12% [-0.37 to 0.12%], P = .33. CGM analytics were more favorable for DAPA + SAXA, including greater percent time in range (> 3.9 and ≤ 10 mmol/L; 34.3 ± 1.9 vs 28.5 ± 1.9%, P = .033), lower percent time with nocturnal hypoglycemia (area under the curve ≤ 3.9 mmol/L; 0.6 ± 0.5 vs 2.7 ± 0.5%, P = .007), and smaller mean amplitude of glycemic excursions (-0.7 ± 0.1 vs -0.3 ± 0.1 mmol/L, P = .017). Improvements in CGM were associated with greater satisfaction, better body weight image, less weight interference, and improved mental and emotional well-being.
Conclusion: DAPA + SAXA and INS were equally effective in reducing HbA1c at 24 weeks, but people with T2D treated with DAPA + SAXA achieved greater time in range, greater reductions in glycemic excursions and variability, less time with hypoglycemia, and improved patient-reported health outcomes.
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Databáze: MEDLINE