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Safety and Feasibility Evaluation of Step Count Informed Meal Boluses in Type 1 Diabetes: A Pilot Study.
Ozaslan, Basak; Brown, Sue A; Pinnata, Jennifer; Barnett, Charlotte L; Carr, Kelly; Wakeman, Christian A; Clancy-Oliveri, Mary; Breton, Marc D.
Afiliação
  • Ozaslan B; Department of Psychiatric & Neurobehavioral Sciences, Center for Diabetes Technology Research, University of Virginia, Charlottesville, VA, USA.
  • Brown SA; Department of Psychiatric & Neurobehavioral Sciences, Center for Diabetes Technology Research, University of Virginia, Charlottesville, VA, USA.
  • Pinnata J; Department of Psychiatric & Neurobehavioral Sciences, Center for Diabetes Technology Research, University of Virginia, Charlottesville, VA, USA.
  • Barnett CL; Department of Psychiatric & Neurobehavioral Sciences, Center for Diabetes Technology Research, University of Virginia, Charlottesville, VA, USA.
  • Carr K; Department of Psychiatric & Neurobehavioral Sciences, Center for Diabetes Technology Research, University of Virginia, Charlottesville, VA, USA.
  • Wakeman CA; Department of Psychiatric & Neurobehavioral Sciences, Center for Diabetes Technology Research, University of Virginia, Charlottesville, VA, USA.
  • Clancy-Oliveri M; Department of Psychiatric & Neurobehavioral Sciences, Center for Diabetes Technology Research, University of Virginia, Charlottesville, VA, USA.
  • Breton MD; Department of Psychiatric & Neurobehavioral Sciences, Center for Diabetes Technology Research, University of Virginia, Charlottesville, VA, USA.
J Diabetes Sci Technol ; 16(3): 670-676, 2022 05.
Article em En | MEDLINE | ID: mdl-33794675
ABSTRACT

BACKGROUND:

Physical activity can cause glucose fluctuations both during and after it is performed, leading to hurdles in optimal insulin dosing in people with type 1 diabetes (T1D). We conducted a pilot clinical trial assessing the safety and feasibility of a physical activity-informed mealtime insulin bolus advisor that adjusts the meal bolus according to previous physical activity, based on step count data collected through an off-the-shelf physical activity tracker.

METHODS:

Fifteen adults with T1D, each using a continuous glucose monitor (CGM) and an insulin pump with carbohydrate counting, completed two randomized crossover daily visits. Participants performed a 30 to 45-minute brisk walk before lunch and lunchtime insulin boluses were calculated based on either their standard therapy (ST) or the physical activity-informed bolus method. Post-lunch glycemic excursions were assessed using CGM readings.

RESULTS:

There was no significant difference between visits in the time spent in hypoglycemia in the post-lunch period (median [IQR] standard 0 [0]% vs physical activity-informed 0 [0]%, P = NS). Standard therapy bolus yielded a higher time spent in 70 to 180 mg/dL target range (mean ± standard 77% ± 27% vs physical activity-informed 59% ± 31%, P = .03) yet, it was associated with a steeper negative slope in the early postprandial phase (P = .032).

CONCLUSIONS:

Use of step count to adjust mealtime insulin following a walking bout has proved to be safe and feasible in a cohort of 15 T1D subjects. Physical activity-informed insulin dosing of meals eaten soon after a walking bout has a potential of mitigating physical activity related glucose reduction in the early postprandial phase.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 1 Tipo de estudo: Clinical_trials Limite: Adult / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 1 Tipo de estudo: Clinical_trials Limite: Adult / Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article