Real-World Use of Hybrid Closed-Loop Systems during Diabetes Camp: A Preliminary Study for Secure Configuration Strategies in Children and Adolescents.
María José Olid-CárdenasAlfonso Lendínez-JuradoGabriela Monroy-RodríguezAna Gómez-PereaAna Cano-OrtizAna-Belen Ariza-JimenezAna García-RuizPatricia Jiménez-CuencaMaría José Picón-CésarIsabel Leiva-GeaPublished in: Nutrients (2024)
The introduction of closed-loop systems in the pediatric population has been a revolution in the management and evolution of diabetes. However, there are not many published studies in situations in which the feeding, schedules, and activities of the children deviate from the routine for which the systems were programmed, as in the case of a summer camp for children and adolescents with diabetes, where the specific programming of this device is not well known. It was a single-center prospective preliminary study. A total of twenty-seven patients (mean age 11.9 ± 1.9 years, 40% male, duration of diabetes 6.44 ± 2.83 years) were included (twenty with Medtronic MiniMed 780G system and seven with Tandem Control-IQ). Glucometric variables and pump functionality were monitored during the 7-day camp and in the following 3 weeks. There was no decrease from the objective TIR 70% at any moment. The worst results in Time Below Range were at 72 h from starting the camp, and the worst results in Time Above Range were in the first 24 h, with a progressive improvement after that. No episodes of level 3 hypoglycemia or ketoacidosis occurred. The use of specific programming in two integrated systems, with complex blood glucose regulation algorithms and not-prepared-for situations with increased levels of physical activity or abrupt changes in feeding routines, did not result in an increased risk of level 3 hypoglycemia and ketoacidosis for our pediatric type 1 diabetes (T1D) patients, regardless of the closed-loop device.
Keyphrases
- type diabetes
- glycemic control
- blood glucose
- end stage renal disease
- cardiovascular disease
- physical activity
- newly diagnosed
- chronic kidney disease
- ejection fraction
- peritoneal dialysis
- insulin resistance
- binding protein
- machine learning
- prognostic factors
- weight loss
- young adults
- patient reported outcomes
- systematic review
- skeletal muscle
- metabolic syndrome
- deep learning
- adipose tissue
- randomized controlled trial
- preterm birth
- gestational age