Journal article

Prevention of Insulin-Induced Hypoglycemia in Type 1 Diabetes with Predictive Low Glucose Management System

Mary B Abraham, Martin de Bock, Nirubasini Paramalingam, Michael J O'Grady, Trang T Ly, Carly George, Anirban Roy, Glenn Spital, Sophy Karula, Kristine Heels, Rebecca Gebert, Jan M Fairchild, Bruce R King, Geoffrey R Ambler, Fergus Cameron, Elizabeth A Davis, Timothy W Jones



BACKGROUND: Sensor-augmented pump therapy (SAPT) with algorithms to predict impending low blood glucose and suspend insulin delivery has the potential to reduce hypoglycemia exposure. The aim of this study was to determine whether predictive low glucose management (PLGM) system is effective in preventing insulin-induced hypoglycemia in controlled experiments. METHODS: Two protocols were used to induce hypoglycemia in an in-clinic environment. (A) Insulin bolus: Insulin was administered as a manual bolus through the pump. (B) Increased basal insulin: Hypoglycemia was induced by increasing basal rates overnight to 180%. For both protocols, participants were randomized and studied on 2 separate..

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Funding Acknowledgements

The authors acknowledge the support of Grant Smith, Telethon Kids Institute, Perth, WA, for providing statistical advice. Parts of this study were presented in abstract form at the APEG 2014, ATTD 2014, and ADA 2014. This study was supported by the Juvenile Diabetes Research Foundation-funded Australian Type 1 Diabetes Clinical Research Network. M.B.A. was funded by Channel 7 Telethon Research Fellowship 2014. The Jaeb center contributed to review of study progress, as part of the JDRF Artificial Pancreas Consortium Network. Insulin pumps, glucose sensors, and the Blackberry phone (PLGM algorithm) were provided by Medtronic through an unrestricted grant. Medtronic had no role in the design and conduct of the study; data collection, analysis, and interpretation of the data; the preparation or approval of the manuscript; and the decision to submit the manuscript for publication.