Context: Patients with long-standing type 1 diabetes (T1D) are at increased risk for severe hypoglycemia because of defects in glucose counterregulation and recognition of hypoglycemia symptoms, in part mediated through exposure to hypoglycemia. Objective: To determine whether implementation of real-time continuous glucose monitoring (CGM) as a strategy for hypoglycemia avoidance could improve glucose counterregulation in patients with long-standing T1D and hypoglycemia unawareness. Design, Setting, Participants, and Intervention: Eleven patients with T1D disease duration of ∼31 years were studied longitudinally in the Clinical & Translational Research Center of the University of Pennsylvania before and 6 and 18 months after initiation of CGM and were compared with 12 nondiabetic control participants. Main Outcome Measure: Endogenous glucose production response derived from paired hyperinsulinemic stepped-hypoglycemic and euglycemic clamps with infusion of 6,6-2H2-glucose. Results: In patients with T1D, hypoglycemia awareness (Clarke score) and severity (HYPO score and severe events) improved (P < 0.01 for all) without change in hemoglobin A1c (baseline, 7.2% ± 0.2%). In response to insulin-induced hypoglycemia, endogenous glucose production did not change from before to 6 months (0.42 ± 0.08 vs 0.54 ± 0.07 mg·kg-1·min-1) but improved after 18 months (0.84 ± 0.15 mg·kg-1·min-1; P < 0.05 vs before CGM), albeit remaining less than in controls (1.39 ± 0.11 mg·kg-1·min-1; P ≤ 0.01 vs all). Conclusions: Real-time CGM can improve awareness and reduce the burden of problematic hypoglycemia in patients with long-standing T1D, but with only modest improvement in the endogenous glucose production response that is required to prevent or correct low blood glucose.
Context:Patients with long-standing type 1 diabetes (T1D) are at increased risk for severe hypoglycemia because of defects in glucose counterregulation and recognition of hypoglycemia symptoms, in part mediated through exposure to hypoglycemia. Objective: To determine whether implementation of real-time continuous glucose monitoring (CGM) as a strategy for hypoglycemia avoidance could improve glucose counterregulation in patients with long-standing T1D and hypoglycemia unawareness. Design, Setting, Participants, and Intervention: Eleven patients with T1D disease duration of ∼31 years were studied longitudinally in the Clinical & Translational Research Center of the University of Pennsylvania before and 6 and 18 months after initiation of CGM and were compared with 12 nondiabetic control participants. Main Outcome Measure: Endogenous glucose production response derived from paired hyperinsulinemic stepped-hypoglycemic and euglycemic clamps with infusion of 6,6-2H2-glucose. Results: In patients with T1D, hypoglycemia awareness (Clarke score) and severity (HYPO score and severe events) improved (P < 0.01 for all) without change in hemoglobin A1c (baseline, 7.2% ± 0.2%). In response to insulin-induced hypoglycemia, endogenous glucose production did not change from before to 6 months (0.42 ± 0.08 vs 0.54 ± 0.07 mg·kg-1·min-1) but improved after 18 months (0.84 ± 0.15 mg·kg-1·min-1; P < 0.05 vs before CGM), albeit remaining less than in controls (1.39 ± 0.11 mg·kg-1·min-1; P ≤ 0.01 vs all). Conclusions: Real-time CGM can improve awareness and reduce the burden of problematic hypoglycemia in patients with long-standing T1D, but with only modest improvement in the endogenous glucose production response that is required to prevent or correct low blood glucose.
Authors: Cornelis A J van Beers; J Hans DeVries; Susanne J Kleijer; Mark M Smits; Petronella H Geelhoed-Duijvestijn; Mark H H Kramer; Michaela Diamant; Frank J Snoek; Erik H Serné Journal: Lancet Diabetes Endocrinol Date: 2016-09-15 Impact factor: 32.069
Authors: C A Chu; D K Sindelar; K Igawa; S Sherck; D W Neal; M Emshwiller; A D Cherrington Journal: Am J Physiol Endocrinol Metab Date: 2000-08 Impact factor: 4.310
Authors: Richard M Bergenstal; David C Klonoff; Satish K Garg; Bruce W Bode; Melissa Meredith; Robert H Slover; Andrew J Ahmann; John B Welsh; Scott W Lee; Francine R Kaufman Journal: N Engl J Med Date: 2013-06-22 Impact factor: 91.245
Authors: Stuart A Little; Lalantha Leelarathna; Emma Walkinshaw; Horng Kai Tan; Olivia Chapple; Alexandra Lubina-Solomon; Thomas J Chadwick; Shalleen Barendse; Deborah D Stocken; Catherine Brennand; Sally M Marshall; Ruth Wood; Jane Speight; David Kerr; Daniel Flanagan; Simon R Heller; Mark L Evans; James A M Shaw Journal: Diabetes Care Date: 2014-05-22 Impact factor: 19.112
Authors: Rozalina G McCoy; Holly K Van Houten; Jeanette Y Ziegenfuss; Nilay D Shah; Robert A Wermers; Steven A Smith Journal: Diabetes Care Date: 2012-06-14 Impact factor: 19.112
Authors: Michelle Nguyen; Julia Han; Elias K Spanakis; Boris P Kovatchev; David C Klonoff Journal: Diabetes Technol Ther Date: 2020-03-04 Impact factor: 6.118
Authors: Yu Kuei Lin; Danielle Groat; Owen Chan; Man Hung; Anu Sharma; Michael W Varner; Ramkiran Gouripeddi; Julio C Facelli; Simon J Fisher Journal: Diabetes Technol Ther Date: 2020-10-13 Impact factor: 6.118