Literature DB >> 28251726

Outcomes of algorithm-based modifications of insulinotherapy during exercise in MDI vs insulin pump-treated children with type 1 diabetes: Results from the TREAD-DIAB study.

S Moniotte1,2, M Owen3, T Barrea3, A Robert4, P A Lysy2,3.   

Abstract

OBJECTIVES: To evaluate the evolution of subcutaneous glucose (SG) after a standardized aerobic exercise in children and adolescents treated with continuous subcutaneous insulin infusion (CSII) or multiple daily injection (MDI) regimen before and after adaptation of insulin doses. RESEARCH DESIGN AND METHODS: Eleven CSII- and 13 MDI-treated patients performed 2 30-minute sessions of moderate to vigorous (70% of age-based maximal heart rate) exercise on a treadmill under continuous glucose monitoring (CGM). First sessions were scheduled without insulin modification (TT#1) while patients performed second sessions (TT#2) after preemptive algorithm-based insulin dose modifications.
RESULTS: While insulin adaptations did not modify immediate postexercise drops in blood glucose during TT#2 in either group, CSII-treated patients had their glucose control improved during TT#2 (mean of 141 ± 56 mg/dL vs 144 ± 80 mg/dL in TT#1; P < .05) with up to 86% of SG levels within targets during 16 hours postexercise. Contrarily, SG levels did not normalize during TT#2 in MDI-treated patients who experienced higher rates of hyperglycemia during the afternoon snack. As compared with TT#1, CSII-treated patients had reduced rates of hypoglycemia during 4 hours post-TT#2 (from 19.5% to 2.1%; P < .01) and had shorter duration of nocturnal hypoglycemia (35.5 ± 12.8 vs 204.7 ± 165 minutes; P = .04) whereas in the MDI group no changes in percentages of hypoglycemia were observed during TT#2.
CONCLUSION: In our pediatric cohort, algorithmic adaptations of insulin doses were associated with better outcomes in terms of postexercise glucose control in patients with CSII therapy but not with MDI treatment.
© 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  CGM; adolescents; algorithm; children; exercise; treadmill; type 1 diabetes

Mesh:

Substances:

Year:  2017        PMID: 28251726     DOI: 10.1111/pedi.12509

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


  4 in total

1.  Technological Ecological Momentary Assessment Tools to Study Type 1 Diabetes in Youth: Viewpoint of Methodologies.

Authors:  Mary Katherine Ray; Alana McMichael; Maria Rivera-Santana; Jacob Noel; Tamara Hershey
Journal:  JMIR Diabetes       Date:  2021-06-03

2.  10th Annual Symposium on Self-Monitoring of Blood Glucose, April 27-29, 2017, Warsaw, Poland.

Authors:  Christopher G Parkin; Anita Homberg; Rolf Hinzmann
Journal:  Diabetes Technol Ther       Date:  2017-11-14       Impact factor: 6.118

3.  Combined Algorithm-Based Adaptations of Insulin Dose and Carbohydrate Intake During Exercise in Children With Type 1 Diabetes: Results From the CAR2DIAB Study.

Authors:  Philippe Antoine Lysy; Hélène Absil; Emy Gasser; Hasnae Boughaleb; Thierry Barrea; Stéphane Moniotte
Journal:  Front Endocrinol (Lausanne)       Date:  2021-08-26       Impact factor: 5.555

4.  Quantifying the impact of physical activity on future glucose trends using machine learning.

Authors:  Nichole S Tyler; Clara Mosquera-Lopez; Gavin M Young; Joseph El Youssef; Jessica R Castle; Peter G Jacobs
Journal:  iScience       Date:  2022-02-08
  4 in total

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