Literature DB >> 32144167

The Use of a Smart Bolus Calculator Informed by Real-time Insulin Sensitivity Assessments Reduces Postprandial Hypoglycemia Following an Aerobic Exercise Session in Individuals With Type 1 Diabetes.

Chiara Fabris1, Ralf M Nass2, Jennifer Pinnata3, Kelly A Carr3, Chaitanya L K Koravi3, Charlotte L Barnett3, Mary C Oliveri3, Stacey M Anderson3, Daniel R Chernavvsky3,4, Marc D Breton3.   

Abstract

OBJECTIVE: Insulin dosing in type 1 diabetes (T1D) is oftentimes complicated by fluctuating insulin requirements driven by metabolic and psychobehavioral factors impacting individuals' insulin sensitivity (IS). In this context, smart bolus calculators that automatically tailor prandial insulin dosing to the metabolic state of a person can improve glucose management in T1D. RESEARCH DESIGN AND METHODS: Fifteen adults with T1D using continuous glucose monitors (CGMs) and insulin pumps completed two 24-h admissions in a hotel setting. During the admissions, participants engaged in an early afternoon 45-min aerobic exercise session, after which they received a standardized dinner meal. The dinner bolus was computed using a standard bolus calculator or smart bolus calculator informed by real-time IS estimates. Glucose control was assessed in the 4 h following dinner using CGMs and was compared between the two admissions.
RESULTS: The IS-informed bolus calculator allowed for a reduction in postprandial hypoglycemia as quantified by the low blood glucose index (2.02 vs. 3.31, P = 0.006) and percent time <70 mg/dL (8.48% vs. 15.18%, P = 0.049), without increasing hyperglycemia (high blood glucose index: 3.13 vs. 2.09, P = 0.075; percent time >180 mg/dL: 13.24% vs. 10.42%, P = 0.5; percent time >250 mg/dL: 2.08% vs. 1.19%, P = 0.317). In addition, the number of hypoglycemia rescue treatments was reduced from 12 to 7 with the use of the system.
CONCLUSIONS: The study shows that the proposed IS-informed bolus calculator is safe and feasible in adults with T1D, appropriately reducing postprandial hypoglycemia following an exercise-induced IS increase.
© 2020 by the American Diabetes Association.

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Year:  2020        PMID: 32144167     DOI: 10.2337/dc19-1675

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  4 in total

1.  Separating insulin-mediated and non-insulin-mediated glucose uptake during and after aerobic exercise in type 1 diabetes.

Authors:  Thanh-Tin P Nguyen; Peter G Jacobs; Jessica R Castle; Leah M Wilson; Kerry Kuehl; Deborah Branigan; Virginia Gabo; Florian Guillot; Michael C Riddell; Ahmad Haidar; Joseph El Youssef
Journal:  Am J Physiol Endocrinol Metab       Date:  2020-12-28       Impact factor: 4.310

2.  Clinical Evaluation of a Novel CGM-Informed Bolus Calculator with Automatic Glucose Trend Adjustment.

Authors:  Jordan E Pinsker; Mei Mei Church; Sue A Brown; Mary K Voelmle; Bruce W Bode; Brooke Narron; Lauren M Huyett; Joon Bok Lee; Jason O'Connor; Eric Benjamin; Bonnie Dumais; Trang T Ly
Journal:  Diabetes Technol Ther       Date:  2021-09-03       Impact factor: 6.118

3.  Simulation-Based Evaluation of Treatment Adjustment to Exercise in Type 1 Diabetes.

Authors:  Julia Deichmann; Sara Bachmann; Marie-Anne Burckhardt; Gabor Szinnai; Hans-Michael Kaltenbach
Journal:  Front Endocrinol (Lausanne)       Date:  2021-08-19       Impact factor: 5.555

Review 4.  Artificial Intelligence in Decision Support Systems for Type 1 Diabetes.

Authors:  Nichole S Tyler; Peter G Jacobs
Journal:  Sensors (Basel)       Date:  2020-06-05       Impact factor: 3.576

  4 in total

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