TY - JOUR
T1 - Effects of everyday life events on glucose, insulin, and glucagon dynamics in continuous subcutaneous insulin infusion-treated type 1 diabetes
T2 - collection of clinical data for glucose modeling
AU - Schmidt, Signe Damkjær
AU - Finan, Daniel Aaron
AU - Duun-Henriksen, Anne Katrine
AU - Jørgensen, John Bagterp
AU - Madsen, Henrik
AU - Bengtsson, Henrik
AU - Holst, Jens Juul
AU - Madsbad, Sten
AU - Nørgaard, Kirsten
PY - 2012/3/1
Y1 - 2012/3/1
N2 - Background: In the development of glucose control algorithms, mathematical models of glucose metabolism are useful for conducting simulation studies and making real-time predictions upon which control calculations can be based. To obtain type 1 diabetes (T1D) data for the modeling of glucose metabolism, we designed and conducted a clinical study. Methods: Patients with insulin pump-treated T1D were recruited to perform everyday life events on two separate days. During the study, patients wore their insulin pumps and, in addition, a continuous glucose monitor and an activity monitor to estimate energy expenditure. The sequence of everyday life events was predetermined and included carbohydrate intake, insulin boluses, and bouts of exercise; the events were introduced, temporally separated, in different orders and in different quantities. Throughout the study day, 10-min plasma glucose measurements were taken, and samples for plasma insulin and glucagon analyses were obtained every 10 min for the first 30 min after an event and subsequently every 30 min. Results: We included 12 patients with T1D (75% female, 34.3±9.1 years old [mean±SD], hemoglobin A1c 6.7±0.4%). During the 24 study days we collected information-rich, high-quality data during fast and slow changes in plasma glucose following carbohydrate intake, exercise, and insulin boluses. Conclusions: This study has generated T1D data suitable for glucose modeling, which will be used in the development of glucose control strategies. Furthermore, the study has given new physiologic insight into the metabolic effects of carbohydrate intake, insulin boluses, and exercise in continuous subcutaneous insulin infusion-treated patients with T1D.
AB - Background: In the development of glucose control algorithms, mathematical models of glucose metabolism are useful for conducting simulation studies and making real-time predictions upon which control calculations can be based. To obtain type 1 diabetes (T1D) data for the modeling of glucose metabolism, we designed and conducted a clinical study. Methods: Patients with insulin pump-treated T1D were recruited to perform everyday life events on two separate days. During the study, patients wore their insulin pumps and, in addition, a continuous glucose monitor and an activity monitor to estimate energy expenditure. The sequence of everyday life events was predetermined and included carbohydrate intake, insulin boluses, and bouts of exercise; the events were introduced, temporally separated, in different orders and in different quantities. Throughout the study day, 10-min plasma glucose measurements were taken, and samples for plasma insulin and glucagon analyses were obtained every 10 min for the first 30 min after an event and subsequently every 30 min. Results: We included 12 patients with T1D (75% female, 34.3±9.1 years old [mean±SD], hemoglobin A1c 6.7±0.4%). During the 24 study days we collected information-rich, high-quality data during fast and slow changes in plasma glucose following carbohydrate intake, exercise, and insulin boluses. Conclusions: This study has generated T1D data suitable for glucose modeling, which will be used in the development of glucose control strategies. Furthermore, the study has given new physiologic insight into the metabolic effects of carbohydrate intake, insulin boluses, and exercise in continuous subcutaneous insulin infusion-treated patients with T1D.
KW - Activities of Daily Living
KW - Adult
KW - Blood Glucose
KW - Denmark
KW - Diabetes Mellitus, Type 1
KW - Dietary Carbohydrates
KW - Exercise Test
KW - Female
KW - Glucagon
KW - Heart Rate
KW - Hemoglobin A, Glycosylated
KW - Humans
KW - Hypoglycemic Agents
KW - Infusions, Subcutaneous
KW - Insulin
KW - Insulin Infusion Systems
KW - Male
KW - Middle Aged
KW - Models, Theoretical
U2 - 10.1089/dia.2011.0101
DO - 10.1089/dia.2011.0101
M3 - Journal article
C2 - 22023376
SN - 1520-9156
VL - 14
SP - 210
EP - 217
JO - Diabetes Technology & Therapeutics
JF - Diabetes Technology & Therapeutics
IS - 3
ER -
