Page 76 - Glucose Monitoring Devices
P. 76

74     CHAPTER 4 Consequences of SMBG systems inaccuracy




                         [39] Breton M, Clarke WL, Farhy L, Kovatchev B. A model of self-treatment behavior,
                             glucose variability, and hypoglycemia-associated autonomic failure in type 1 diabetes.
                             Journal of Diabetes Science and Technology 2007;1(3):331e7.
                         [40] Bolli GB. Hypoglycaemia unawareness. Diabetes and Metabolism 1997;23(Suppl. 3):
                             29e35.
                         [41] Fabris C, Farhy LS, Anderson SM, Nass RM, Kovatchev BP, Breton MD. Recent expo-
                             sure to hypoglycemia increases glucose variability following a hyper/hypoglycemic
                             metabolic challenge in T1D. Journal of Diabetes Science and Technology 2018;
                             12(2):311e7.
                         [42] Campos-Na ´n ˜ez E, Kovatchev BP. Impact of meal constituents on artificial pancreas
                             algorithms. Diabetes Technology and Therapeutics 2016;18(10):607e9.
                         [43] Kovatchev B. Automated closed-loop control of diabetes: the artificial pancreas. Bio-
                             electronic Medicine Nov. 2018;4(1):14.
                         [44] Herzer M, Hood KK. Anxiety symptoms in adolescents with type 1 diabetes: associa-
                             tion with blood glucose monitoring and glycemic control. Journal of Pediatric Psychol-
                             ogy 2010;35(4):415e25.
                         [45] Thomas AM, Peterson L, Goldstein D. Problem solving and diabetes regimen adher-
                             ence by children and adolescents with IDDM in social pressure situations: a reflection
                             of normal development. Journal of Pediatric Psychology 1997;22(4):541e61.
                         [46] Pendley JS, Kasmen LJ, Miller DL, Donze J, Swenson C, Reeves G. Peer and family
                             support in children and adolescents with type 1 diabetes. Journal of Pediatric Psychol-
                             ogy 2002;27(5):429e38.
                         [47] Kovatchev B, Cox D, Gonder-Frederick L, Schlundt D, Clarke W. Stochastic model of
                             self-regulation decision making exemplified by decisions concerning hypoglycemia.
                             Health Psychology 1998;17(3):277e84.
                         [48] Breton MD, Kovatchev BP. Impact of blood glucose self-monitoring errors on glucose
                             variability, risk for hypoglycemia, and average glucose control in type 1 diabetes: an
                             in silico study. Journal of Diabetes Science and Technology 2010;4(3):562e70.
                         [49] Boettcher C, et al. Accuracy of blood glucose meters for self-monitoring affects glucose
                             control and hypoglycemia rate in children and adolescents with type 1 diabetes. Dia-
                             betes Technology and Therapeutics 2015;17(4):275e82.
                         [50] Kovatchev BP, Cox DJ, Gonder-Frederick LA, Young-Hyman D, Schlundt D, Clarke W.
                             Assessment of risk for severe hypoglycemia among adults with IDDM: validation of the
                             low blood glucose index. Diabetes Care 1998;21(11):1870e5.
                         [51] Huang ES, Laiteerapong N, Liu JY, John PM, Moffet HH, Karter AJ. Rates of compli-
                             cations and mortality in older patients with diabetes mellitus: the diabetes and aging
                             study. Journal of the American Medical Association Internal Medicine 2014;174(2):
                             251e8.
                         [52] Hammer M, Lammert M, Mejias SM, Kern W, Frier BM. Costs of managing severe
                             hypoglycaemia in three european countries. Journal of Medical Economics 2009;
                             12(4):281e90.
                         [53] Foos V, et al. Economic impact of severe and non-severe hypoglycemia in patients with
                             type 1 and type 2 diabetes in the United States. Journal of Medical Economics 2015;
                             18(6):420e32.
                         [54] Fortwaengler K, Parkin CG, Neeser K, Neumann M, Mast O. Description of a new pre-
                             dictive modeling approach that correlates the risk and associated cost of well-defined
                             diabetes-related complications with changes in glycated hemoglobin (HbA1c). Journal
                             of Diabetes Science and Technology 2017;11(2):315e23.
   71   72   73   74   75   76   77   78   79   80   81