Effects of everyday life events on glucose, insulin, and glucagon dynamics in continuous subcutaneous insulin infusion-treated type 1 diabetes: collection of clinical data for glucose modeling

Signe Damkjær Schmidt; Daniel Aaron Finan; Anne Katrine Duun-Henriksen; John Bagterp Jørgensen; Henrik Madsen; Henrik Bengtsson; Jens Juul Holst; Sten Madsbad; Kirsten Nørgaard

doi:10.1089/dia.2011.0101

Effects of everyday life events on glucose, insulin, and glucagon dynamics in continuous subcutaneous insulin infusion-treated type 1 diabetes: collection of clinical data for glucose modeling

Signe Damkjær Schmidt, Daniel Aaron Finan, Anne Katrine Duun-Henriksen, John Bagterp Jørgensen, Henrik Madsen, Henrik Bengtsson, Jens Juul Holst, Sten Madsbad, Kirsten Nørgaard

17 Citations (Scopus)

Abstract

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.

Original language	English
Journal	Diabetes Technology & Therapeutics
Volume	14
Issue number	3
Pages (from-to)	210-217
Number of pages	8
ISSN	1520-9156
DOIs	https://doi.org/10.1089/dia.2011.0101
Publication status	Published - 1 Mar 2012

Keywords

Activities of Daily Living
Adult
Blood Glucose
Denmark
Diabetes Mellitus, Type 1
Dietary Carbohydrates
Exercise Test
Female
Glucagon
Heart Rate
Hemoglobin A, Glycosylated
Humans
Hypoglycemic Agents
Infusions, Subcutaneous
Insulin
Insulin Infusion Systems
Male
Middle Aged
Models, Theoretical

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1089/dia.2011.0101

Cite this

Schmidt, S. D., Finan, D. A., Duun-Henriksen, A. K., Jørgensen, J. B., Madsen, H., Bengtsson, H., Holst, J. J., Madsbad, S., & Nørgaard, K. (2012). Effects of everyday life events on glucose, insulin, and glucagon dynamics in continuous subcutaneous insulin infusion-treated type 1 diabetes: collection of clinical data for glucose modeling. Diabetes Technology & Therapeutics, 14(3), 210-217. https://doi.org/10.1089/dia.2011.0101

Effects of everyday life events on glucose, insulin, and glucagon dynamics in continuous subcutaneous insulin infusion-treated type 1 diabetes : collection of clinical data for glucose modeling. / Schmidt, Signe Damkjær; Finan, Daniel Aaron; Duun-Henriksen, Anne Katrine et al.

In: Diabetes Technology & Therapeutics, Vol. 14, No. 3, 01.03.2012, p. 210-217.

Research output: Contribution to journal › Journal article › Research › peer-review

Schmidt, SD, Finan, DA, Duun-Henriksen, AK, Jørgensen, JB, Madsen, H, Bengtsson, H, Holst, JJ, Madsbad, S & Nørgaard, K 2012, 'Effects of everyday life events on glucose, insulin, and glucagon dynamics in continuous subcutaneous insulin infusion-treated type 1 diabetes: collection of clinical data for glucose modeling', Diabetes Technology & Therapeutics, vol. 14, no. 3, pp. 210-217. https://doi.org/10.1089/dia.2011.0101

@article{a0a9fc575c154edb87d92d76a32abe38,

title = "Effects of everyday life events on glucose, insulin, and glucagon dynamics in continuous subcutaneous insulin infusion-treated type 1 diabetes: collection of clinical data for glucose modeling",

abstract = "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.",

keywords = "Activities of Daily Living, Adult, Blood Glucose, Denmark, Diabetes Mellitus, Type 1, Dietary Carbohydrates, Exercise Test, Female, Glucagon, Heart Rate, Hemoglobin A, Glycosylated, Humans, Hypoglycemic Agents, Infusions, Subcutaneous, Insulin, Insulin Infusion Systems, Male, Middle Aged, Models, Theoretical",

author = "Schmidt, {Signe Damkj{\ae}r} and Finan, {Daniel Aaron} and Duun-Henriksen, {Anne Katrine} and J{\o}rgensen, {John Bagterp} and Henrik Madsen and Henrik Bengtsson and Holst, {Jens Juul} and Sten Madsbad and Kirsten N{\o}rgaard",

year = "2012",

month = mar,

day = "1",

doi = "10.1089/dia.2011.0101",

language = "English",

volume = "14",

pages = "210--217",

journal = "Diabetes Technology & Therapeutics",

issn = "1520-9156",

publisher = "Mary AnnLiebert, Inc. Publishers",

number = "3",

}

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 -

Effects of everyday life events on glucose, insulin, and glucagon dynamics in continuous subcutaneous insulin infusion-treated type 1 diabetes: collection of clinical data for glucose modeling

Abstract

Keywords

UN SDGs

Access to Document

Fingerprint

Cite this