Literature DB >> 21129324

Factors influencing the effectiveness of glucagon for preventing hypoglycemia.

Jessica R Castle1, Julia M Engle, Joseph El Youssef, Ryan G Massoud, W Kenneth Ward.   

Abstract

BACKGROUND: Administration of small, intermittent doses of glucagon during closed-loop insulin delivery markedly reduces the frequency of hypoglycemia. However, in some cases, hypoglycemia occurs despite administration of glucagon in this setting.
METHODS: Fourteen adult subjects with type 1 diabetes participated in 22 closed-loop studies, duration 21.5±2.0 h. The majority of subjects completed two studies, one with insulin + glucagon, given subcutaneously by algorithm during impending hypoglycemia, and one with insulin+placebo. The more accurate of two subcutaneous glucose sensors was used as the controller input. To better understand reasons for success or failure of glucagon to prevent hypoglycemia, each response to a glucagon dose over 0.5 µg/kg was analyzed (n=19 episodes).
RESULTS: Hypoglycemia occurred in the hour after glucagon delivery in 37% of these episodes. In the failures, estimated insulin on board was significantly higher versus successes (5.8±0.5 versus 2.9±0.5 U, p<.001). Glucose at the time of glucagon delivery was significantly lower in failures versus successes (86±3 versus 95±3 mg/dl, p=.04). Sensor bias (glucose overestimation) was highly correlated with starting glucose (r=0.65, p=.002). Prior cumulative glucagon dose was not associated with success or failure.
CONCLUSION: Glucagon may fail to prevent hypoglycemia when insulin on board is high or when glucagon delivery is delayed due to overestimation of glucose by the sensor. Improvements in sensor accuracy and delivery of larger or earlier glucagon doses when insulin on board is high may further reduce the frequency of hypoglycemia.
© 2010 Diabetes Technology Society.

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Year:  2010        PMID: 21129324      PMCID: PMC3005039          DOI: 10.1177/193229681000400603

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  19 in total

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Journal:  Artif Organs       Date:  2005-08       Impact factor: 3.094

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Journal:  Diabetologia       Date:  2002-04-26       Impact factor: 10.122

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Journal:  Eur J Clin Pharmacol       Date:  1993       Impact factor: 2.953

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Journal:  Diabetologia       Date:  1991-07       Impact factor: 10.122

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  20 in total

Review 1.  Role of Glucagon in Automated Insulin Delivery.

Authors:  Leah M Wilson; Peter G Jacobs; Jessica R Castle
Journal:  Endocrinol Metab Clin North Am       Date:  2019-12-10       Impact factor: 4.741

2.  Factors affecting the success of glucagon delivered during an automated closed-loop system in type 1 diabetes.

Authors:  P A Bakhtiani; J El Youssef; A K Duell; D L Branigan; P G Jacobs; M R Lasarev; J R Castle; W K Ward
Journal:  J Diabetes Complications       Date:  2014-09-16       Impact factor: 2.852

3.  Mechanisms of glucagon degradation at alkaline pH.

Authors:  Nicholas Caputo; Jessica R Castle; Colin P Bergstrom; Julie M Carroll; Parkash A Bakhtiani; Melanie A Jackson; Charles T Roberts; Larry L David; W Kenneth Ward
Journal:  Peptides       Date:  2013-05-04       Impact factor: 3.750

Review 4.  Hypoglycemia unawareness prevention: Targeting glucagon production.

Authors:  Willis K Samson; Lauren M Stein; Mollisa Elrick; Alison Salvatori; Grant Kolar; John A Corbett; Gina L C Yosten
Journal:  Physiol Behav       Date:  2016-04-11

5.  Quantification of the glycemic response to microdoses of subcutaneous glucagon at varying insulin levels.

Authors:  Joseph El Youssef; Jessica R Castle; Parkash A Bakhtiani; Ahmad Haidar; Deborah L Branigan; Matthew Breen; W Kenneth Ward
Journal:  Diabetes Care       Date:  2014-08-19       Impact factor: 19.112

6.  Realizing a Closed-Loop (Artificial Pancreas) System for the Treatment of Type 1 Diabetes.

Authors:  Rayhan A Lal; Laya Ekhlaspour; Korey Hood; Bruce Buckingham
Journal:  Endocr Rev       Date:  2019-12-01       Impact factor: 19.871

7.  A controlled study of the effectiveness of an adaptive closed-loop algorithm to minimize corticosteroid-induced stress hyperglycemia in type 1 diabetes.

Authors:  Joseph El Youssef; Jessica R Castle; Deborah L Branigan; Ryan G Massoud; Matthew E Breen; Peter G Jacobs; B Wayne Bequette; W Kenneth Ward
Journal:  J Diabetes Sci Technol       Date:  2011-11-01

Review 8.  Safe glycemic management during closed-loop treatment of type 1 diabetes: the role of glucagon, use of multiple sensors, and compensation for stress hyperglycemia.

Authors:  W Kenneth Ward; Jessica R Castle; Joseph El Youssef
Journal:  J Diabetes Sci Technol       Date:  2011-11-01

9.  Efficacy of an Overnight Predictive Low-Glucose Suspend System in Relation to Hypoglycemia Risk Factors in Youth and Adults With Type 1 Diabetes.

Authors:  Peter M Calhoun; Bruce A Buckingham; David M Maahs; Irene Hramiak; Darrell M Wilson; Tandy Aye; Paula Clinton; Peter Chase; Laurel Messer; Craig Kollman; Roy W Beck; John Lum
Journal:  J Diabetes Sci Technol       Date:  2016-11-01

Review 10.  A review of artificial pancreas technologies with an emphasis on bi-hormonal therapy.

Authors:  P A Bakhtiani; L M Zhao; J El Youssef; J R Castle; W K Ward
Journal:  Diabetes Obes Metab       Date:  2013-04-21       Impact factor: 6.577

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