Literature DB >> 27734563

Heart rate informed artificial pancreas system enhances glycemic control during exercise in adolescents with T1D.

Mark D DeBoer1,2, Daniel R Cherñavvsky1, Katarina Topchyan3, Boris P Kovatchev1, Gary L Francis3, Marc D Breton1,4.   

Abstract

OBJECTIVE: To evaluate the safety and performance of using a heart rate (HR) monitor to inform an artificial pancreas (AP) system during exercise among adolescents with type 1 diabetes (T1D).
MATERIALS AND METHODS: In a randomized, cross-over trial, adolescents with T1D age 13 - 18 years were enrolled to receive on separate days either the unmodified UVa AP (stdAP) or an AP system connected to a portable HR monitor (AP-HR) that triggered an exercise algorithm for blood glucose (BG) control. During admissions participants underwent a structured exercise regimen. Hypoglycemic events and CGM tracings were compared between the two admissions, during exercise and for the full 24-hour period.
RESULTS: Eighteen participants completed the trial. While number of hypoglycemic events during exercise and rest was not different between visits (0.39 AP-HR vs 0.50 stdAP), time below 70 mg dL -1 was lower on AP-HR compared to stdAP, 0.5±2.1% vs 7.4±12.5% (P = 0.028). Time with BG within 70-180 mg dL -1 was higher for the AP-HR admission vs stdAP during the exercise portion and overall (96% vs 87%, and 77% vs 74%), but these did not reach statistical significance (P = 0.075 and P = 0.366).
CONCLUSIONS: Heart rate signals can safely and efficaciously be integrated in a wireless AP system to inform of physical activity. While exercise contributes to hypoglycemia among adolescents, even when using an AP system, informing the system of exercise via a HR monitor improved time <70 mg dL -1 . Nonetheless, it did not significantly reduce the total number of hypoglycemic events, which were low in both groups.
© 2016 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  artificial pancreas; exercise; heart rate; monitor; type 1 diabetes

Mesh:

Substances:

Year:  2016        PMID: 27734563     DOI: 10.1111/pedi.12454

Source DB:  PubMed          Journal:  Pediatr Diabetes        ISSN: 1399-543X            Impact factor:   4.866


  23 in total

1.  Closed loop control in adolescents and children during winter sports: Use of the Tandem Control-IQ AP system.

Authors:  Laya Ekhlaspour; Gregory P Forlenza; Daniel Chernavvsky; David M Maahs; R Paul Wadwa; Mark D Deboer; Laurel H Messer; Marissa Town; Jennifer Pinnata; Geoff Kruse; Boris P Kovatchev; Bruce A Buckingham; Marc D Breton
Journal:  Pediatr Diabetes       Date:  2019-05-23       Impact factor: 4.866

2.  Insulin Infusion Sets and Continuous Glucose Monitoring Sensors: Where the Artificial Pancreas Meets the Patient.

Authors:  Gregory P Forlenza
Journal:  Diabetes Technol Ther       Date:  2017-04       Impact factor: 6.118

3.  Handling Exercise During Closed Loop Control.

Authors:  Marc D Breton
Journal:  Diabetes Technol Ther       Date:  2017-06       Impact factor: 6.118

4.  Incorporating Unannounced Meals and Exercise in Adaptive Learning of Personalized Models for Multivariable Artificial Pancreas Systems.

Authors:  Iman Hajizadeh; Mudassir Rashid; Kamuran Turksoy; Sediqeh Samadi; Jianyuan Feng; Mert Sevil; Nicole Hobbs; Caterina Lazaro; Zacharie Maloney; Elizabeth Littlejohn; Ali Cinar
Journal:  J Diabetes Sci Technol       Date:  2018-07-31

5.  Multivariable Artificial Pancreas for Various Exercise Types and Intensities.

Authors:  Kamuran Turksoy; Iman Hajizadeh; Nicole Hobbs; Jennifer Kilkus; Elizabeth Littlejohn; Sediqeh Samadi; Jianyuan Feng; Mert Sevil; Caterina Lazaro; Julia Ritthaler; Brooks Hibner; Nancy Devine; Laurie Quinn; Ali Cinar
Journal:  Diabetes Technol Ther       Date:  2018-09-06       Impact factor: 6.118

Review 6.  Development of glucose-responsive 'smart' insulin systems.

Authors:  Nischay K Rege; Nelson F B Phillips; Michael A Weiss
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2017-08       Impact factor: 3.243

7.  Model-Fusion-Based Online Glucose Concentration Predictions in People with Type 1 Diabetes.

Authors:  Xia Yu; Kamuran Turksoy; Mudassir Rashid; Jianyuan Feng; Nicole Frantz; Iman Hajizadeh; Sediqeh Samadi; Mert Sevil; Caterina Lazaro; Zacharie Maloney; Elizabeth Littlejohn; Laurie Quinn; Ali Cinar
Journal:  Control Eng Pract       Date:  2018-02       Impact factor: 3.475

Review 8.  Artificial Pancreas Systems and Physical Activity in Patients with Type 1 Diabetes: Challenges, Adopted Approaches, and Future Perspectives.

Authors:  Sémah Tagougui; Nadine Taleb; Joséphine Molvau; Élisabeth Nguyen; Marie Raffray; Rémi Rabasa-Lhoret
Journal:  J Diabetes Sci Technol       Date:  2019-08-13

Review 9.  Advances in Closed-Loop Insulin Delivery Systems in Patients with Type 1 Diabetes.

Authors:  Vikash Dadlani; Jordan E Pinsker; Eyal Dassau; Yogish C Kudva
Journal:  Curr Diab Rep       Date:  2018-08-29       Impact factor: 4.810

10.  Prediction of Hypoglycemia During Aerobic Exercise in Adults With Type 1 Diabetes.

Authors:  Ravi Reddy; Navid Resalat; Leah M Wilson; Jessica R Castle; Joseph El Youssef; Peter G Jacobs
Journal:  J Diabetes Sci Technol       Date:  2019-01-17
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