Page 169 - Glucose Monitoring Devices
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170    CHAPTER 8 Accuracy of CGM systems




                         [32] Kovatchev BP, Patek SD, Ortiz EA, et al. Assessing sensor accuracy for non-adjunct
                             use of continuous glucose monitoring. Diabetes Technology and Therapeutics 2015;
                             17:177e86.
                         [33] Facchinetti A, Sparacino G, Guerra S, et al. Real-time improvement of continuous
                             glucose monitoring accuracy: the smart sensor concept. Diabetes Care 2013;36:
                             793e800.
                         [34] Peyser TA, Nakamura K, Price D, et al. Hypoglycemia accuracy and improved low
                             glucose alerts of the latest Dexcom G4 Platinum continuous glucose monitoring
                             system. Diabetes Technology and Therapeutics 2015;17. https://doi.org/10.1089/
                             dia.2014.0415.
                         [35] Kovatchev BP. Hypoglycemia reduction and accuracy of continuous glucose
                             monitoring. Diabetes Technology and Therapeutics 2015;17. https://doi.org/10.1089/
                             dia.2015.0144.
                         [36] Heise T, Koschinsky T, Heinemann L, Lodwig V. Glucose monitoring study group.
                             Hypoglycemia warning signal and glucose sensors: requirements and concepts. Dia-
                             betes Technology and Therapeutics 2003;5:563e71.
                         [37] Bode B, Gross K, Rikalo N, Schwartz S, Wahl T, Page C, Gross T, Mastrototaro J.
                             Alarms based on real-time sensor glucose values alert patients to hypo- and
                             hyperglycemia: the guardian continuous monitoring system. Diabetes Technology
                             and Therapeutics 2004;6:105e13.
                         [38] McGarraugh G, Bergenstal R. Detection of hypoglycemia with continuous interstitial
                             and traditional blood glucose monitoring using the FreeStyle Navigator continuous
                             glucose monitoring system. Diabetes Technology and Therapeutics 2009;11:145e50.
                         [39] Buckingham B, Cobry E, Clinton P, Gage V, Caswell K, Kunselman E, Cameron F,
                             Chase HP. Preventing hypoglycemia using predictive alarm algorithms and insulin
                             pump suspension. Diabetes Technology and Therapeutics 2009;11:93e7. PMID:
                             19848575.
                         [40] Battelino T, Nimri R, Dovc K, Phillip M, Bratina N. Prevention of hypoglycemia with
                             predictive low glucose insulin suspension in children with type 1 diabetes: a randomized
                             controlled trial. Diabetes Care 2017;40:764e70. PMID: 28351897.
                         [41] Pinsker JE, Dassau E. Predictive low-glucose suspend to prevent hypoglycemia. Dia-
                             betes Technology and Therapeutics 2017;19:271e6. PMID: 28426238.
                         [42] Breton MD, Patek SD, Lv D, Schertz E, Robic J, Pinnata J, Kollar L, Barnett C,
                             Wakeman C, Oiveri M, Fabris C, Chernavvsky D, Kovatchev BP, Anderson SM. Contin-
                             uous glucose monitoring and insulin informed advisory system with automated titration
                             and dosing of insulin reduces glucose variability in type 1 diabetes mellitus. Diabetes
                             Technology and Therapeutics 2018;20:531e40. PMID: 29979618.
                         [43] Bergenstal RM, et al. Safety of a hybrid closed-loop insulin delivery system in patients
                             with type 1 diabetes. Journal of the American Medical Association 2016;316:1407e8.
                             PMID: 27629148.
                         [44] Kovatchev BP. The artificial pancreas in 2017: the year of transition from research to
                             clinical practice. Nature Reviews Endocrinology 2018;14:74e6. PMID: 29286043.
                         [45] Brown S, Raghinaru D, Emory E, Kovatchev BP. First look at control-IQ: a new-
                             generation automated insulin delivery system. Diabetes Care October 10, 2018:
                             dc181249. PMID: 30305346.
                         [46] Kovatchev BP. Automated closed-loop control of diabetes: the artificial pancreas.
                             Bioelectronic Medicine 2018;4:14. https://doi.org/10.1186/s42234-018-0015-6.
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