Optimal predictive low glucose management settings during physical exercise in adolescents with type 1 diabetes

التفاصيل البيبلوغرافية
العنوان: Optimal predictive low glucose management settings during physical exercise in adolescents with type 1 diabetes
المؤلفون: Andrea Scaramuzza, Claudia Ventrici, Valentino Cherubini, Riccardo Schiaffini, Sonia Toni, Federica Ortolani, Davide Tinti, Stefano Tumini, Paola Cipriano, Edlira Skrami, Nicola Minuto, Giuseppe d'Annunzio, Ivana Rabbone, Rosaria Gesuita, Riccardo Bonfanti, Fortunato Lombardo, C. Arnaldi, Lorenzo Lenzi, Lucia Ferrito, Annapaola Frongia, Elvira Piccinno, Ohad Cohen
المساهمون: Cherubini, V., Gesuita, R., Skrami, E., Rabbone, I., Bonfanti, R., Arnaldi, C., D'Annunzio, G., Frongia, A., Lombardo, F., Piccinno, E., Schiaffini, R., Toni, S., Tumini, S., Tinti, D., Cipriano, P., Minuto, N., Lenzi, L., Ferrito, L., Ventrici, C., Ortolani, F., Cohen, O., Scaramuzza, A.
المصدر: Pediatric Diabetes. 20:107-112
بيانات النشر: Hindawi Limited, 2018.
سنة النشر: 2018
مصطلحات موضوعية: Blood Glucose, Male, Diabetes duration, Endocrinology, Diabetes and Metabolism, insulin pump therapy, Pediatrics, Low glucose, Endocrinology, 0302 clinical medicine, Insulin, Medicine, 030212 general & internal medicine, continuous subcutaneous insulin infusion, Continuous glucose monitoring, CGM, continuous glucose monitoring, continuous subcutaneous insulin infusion, insulin pump therapy, predictive low glucose suspend, SAP, thresholds, Internal Medicine, Pediatrics, Perinatology and Child Health, Endocrinology, Diabetes and Metabolism, Perinatology and Child Health, Diabetes and Metabolism, Calibration, continuous glucose monitoring, Female, SAP, Adult, medicine.medical_specialty, Adolescent, Injections, Subcutaneous, 030209 endocrinology & metabolism, Physical exercise, Hypoglycemia, Young Adult, 03 medical and health sciences, Insulin Infusion Systems, Internal medicine, Diabetes mellitus, Internal Medicine, Humans, Exercise, Type 1 diabetes, predictive low glucose suspend, CGM, business.industry, Blood Glucose Self-Monitoring, Significant difference, thresholds, medicine.disease, Diabetes Mellitus, Type 1, Pediatrics, Perinatology and Child Health, Preventive Medicine, business
الوصف: Objectives To assess the optimal setting of the predictive low glucose management (PLGM) algorithm for preventing exercise-induced hypoglycemia in adolescents with type 1 diabetes. Methods Thirty-four adolescents, 15 to 20 years, wearing PLGM system, were followed during 3 days exercise during a diabetes camp. PLGM threshold was set at 70 mg/dL between 8 am and 10 pm and 90 mg/dL during 10 pm and 8 am Adolescents were divided into group A and B, with PLGM threshold at 90 and 70 mg/dL, respectively, during exercise. Time spent in hypoglycemia and AUC for time slots 8 am to 1 pm, 1 to 4 pm, 4 to 11 pm, 11 pm to 3 am, 3 to 8 am, in 3 days were compared between groups by Wilcoxon rank sum test. Results We analyzed 31 patients (median age 15.0 years, 58.1% males, median diabetes duration 7.0 years, hemoglobin A1c [HbA1c] 7.1%). No significant difference has been observed in time spent in hypoglycemia between groups using threshold 70 or 90. Time spent in target was similar in both groups, as well as time spent in hypo or hyperglycemia. The trends of blood glucose over the 3 days in the 2 groups over-lapped without significant differences. Conclusions A PLGM threshold of 90 mg/dL during the night was associated with reduced time in hypoglycemia in adolescents doing frequent physical exercise, while maintaining 65.1% time in range during the day. However, a threshold of 70 mg/dL seems to be safe in the duration of the physical exercise. PLGM system in adolescents with type 1 diabetes was effective to prevent hypoglycemia during and after exercise, irrespective of the PLGM thresholds used.
تدمد: 1399-543X
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c09b637f7f59a60b4c03c068892877c0Test
https://doi.org/10.1111/pedi.12792Test
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....c09b637f7f59a60b4c03c068892877c0
قاعدة البيانات: OpenAIRE