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A Randomized Trial of Automated Insulin Delivery in Type 2 Diabetes
Yogish C Kudva1, Dan Raghinaru, John W Lum
1Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Department of Internal Medicine, Mayo Clinic, Rochester, MN (Y.C.K., D.D., C.K.); Jaeb Center for Health Research, Tampa, FL (D.R., J.W.L., T.C., C.S., L.K., C.K., R.W.B.); Diabetes and Endocrine Treatment Specialists, Sandy, UT (T.E.G., A.N.T., R.D.L.); Rocky Mountain Clinical Research, Idaho Falls, ID (D.L.); Division of Endocrinology, Diabetes, and Nutrition, Baltimore VA Medical Center, Baltimore, MD (E.K.S., L.G.S., J.C.); Division of Endocrinology, Emory University School of Medicine, Emory University, Atlanta, GA (F.J.P., G.M.D., F.Z.T.); Harold Schnitzer Diabetes Health Center, Oregon Health and Science University, Portland, OR (A.A., C.S., A.D.); Mary and Dick Allen Diabetes Center, Hoag Memorial Hospital Presbyterian, Newport Beach, CA (D.T.A., B.D.); Division of Endocrinology, Metabolism, and Molecular Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL (G.A., J.K., K.C., E.F.); Texas Diabetes and Endocrinology, Austin, TX (T.B., L.C., V.E., J.P.); Division of Endocrinology, Henry Ford Health System, Detroit, MI (D.K., J.K.J., K.E., S.M.); Division of Endocrinology, Center for Diabetes Technology, University of Virginia, Charlottesville, VA (S.A.B., S.A., J.D.); Division of Endocrinology, Icahn School of Medicine at Mount Sinai, New York (C.J.L., C.L., G.O., A.I.); and Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, SUNY Upstate Medical University, Syracuse (R.S.W., S.B.), NY; Boston Medical Center, Boston, MA (D.W.S., A.A.C.); Division of Endocrinology, St Joseph's Health Care, Lawson Health Research Institute, London, Ontario, Canada (T.S., S.L.L., M.D.); University of Washington School of Medicine, Seattle (I.B.H., X.A.); and Rainier Clinical Research Center, Renton (F.B., S.M.), WA; Division of Endocrinology, Diabetes, and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA (M.R.R., A.J.P., C.V.D.-B.); Research Institute of the McGill University Health Centre, Montreal, Quebec, Canada (M.A.T., M.-R.P., V.T., A.M.); UT Southwestern Medical Center, University of Texas, Southwestern, Dallas, TX (P.R., L.F.J.); University Hospitals Cleveland Medical Center, Cleveland, OH (B.H., A.L.); and Tandem Diabetes Care, San Diego, CA (J.E.P., R.S.-K.).
Automated insulin delivery (AID) systems show promise for managing type 2 diabetes, especially for individuals not reaching glycemic targets with other medications. Further research is needed to confirm its benefits in this population.
Area of Science:
- Endocrinology
- Metabolic Diseases
- Medical Technology
Background:
- Automated insulin delivery (AID) systems are established for type 1 diabetes management.
- The efficacy of AID in type 2 diabetes mellitus (T2DM) is not well-defined due to limited research.
- Some T2DM patients do not achieve glycemic control with current therapies like GLP-1 agonists or SGLT-2 inhibitors.
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