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On-line adaptive algorithm with glucose prediction capacity for subcutaneous closed loop control of glucose: evaluation under fasting conditions in patients with Type 1 diabetes.
Diabet Med. 2006 Jan; 23(1):90-3.DM

Abstract

AIMS

To evaluate an algorithm with glucose prediction capacity and continuous adaptation of patient parameters-a model predictive control (MPC) algorithm-to control blood glucose concentration during fasting conditions in patients with Type 1 diabetes. In the subcutaneous (sc) route within a closed loop system.

METHODS

Paired experiments were performed in six patients. Over 8 h the MPC algorithm was used to control glucose with s.c. insulin administration and two different glucose monitoring protocols: first, the algorithm was provided with intravenous (i.v.) glucose values for insulin dosage calculation directly (i.v.-s.c. route). Then, in the second experiment, i.v. glucose values were fed to the MPC with a delay of 30 min to simulate s.c. glucose measurements ('s.c.'-s.c. route). In both experiments plasma glucose, insulin dosage, and serum insulin levels were analysed.

RESULTS

Glucose concentration was brought from hyper- to normoglycaemia and kept in the physiological range (6-7 mmol/l) with both routes in all subjects. Mean glucose concentration reached the threshold of 7 mmol/l approximately 2 (i.v.-s.c. route) and 3 ('s.c.'-s.c. route) hours after the start of glucose control with the MPC. During the last 2 h of automated glucose control, mean glucose concentration was 6.3 +/- 0.2 mmol/l and 6.6 +/- 0.3 mmol/l for i.v.-s.c. and 's.c.'-s.c. route, respectively. Glucose concentration, insulin doses, and serum insulin levels did not differ significantly between routes (P > 0.05).

CONCLUSIONS

The MPC algorithm is suitable for glucose control during fasting within an extracorporeal artificial beta-cell in the subcutaneous route Type 1 diabetic patients.

Authors+Show Affiliations

Department of Biophysics, Institute of Biomedical Engineering, University of Technology Graz, Graz, Austria. schaller@microperfusion.atNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

16409572

Citation

Schaller, H C., et al. "On-line Adaptive Algorithm With Glucose Prediction Capacity for Subcutaneous Closed Loop Control of Glucose: Evaluation Under Fasting Conditions in Patients With Type 1 Diabetes." Diabetic Medicine : a Journal of the British Diabetic Association, vol. 23, no. 1, 2006, pp. 90-3.
Schaller HC, Schaupp L, Bodenlenz M, et al. On-line adaptive algorithm with glucose prediction capacity for subcutaneous closed loop control of glucose: evaluation under fasting conditions in patients with Type 1 diabetes. Diabet Med. 2006;23(1):90-3.
Schaller, H. C., Schaupp, L., Bodenlenz, M., Wilinska, M. E., Chassin, L. J., Wach, P., Vering, T., Hovorka, R., & Pieber, T. R. (2006). On-line adaptive algorithm with glucose prediction capacity for subcutaneous closed loop control of glucose: evaluation under fasting conditions in patients with Type 1 diabetes. Diabetic Medicine : a Journal of the British Diabetic Association, 23(1), 90-3.
Schaller HC, et al. On-line Adaptive Algorithm With Glucose Prediction Capacity for Subcutaneous Closed Loop Control of Glucose: Evaluation Under Fasting Conditions in Patients With Type 1 Diabetes. Diabet Med. 2006;23(1):90-3. PubMed PMID: 16409572.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - On-line adaptive algorithm with glucose prediction capacity for subcutaneous closed loop control of glucose: evaluation under fasting conditions in patients with Type 1 diabetes. AU - Schaller,H C, AU - Schaupp,L, AU - Bodenlenz,M, AU - Wilinska,M E, AU - Chassin,L J, AU - Wach,P, AU - Vering,T, AU - Hovorka,R, AU - Pieber,T R, PY - 2006/1/18/pubmed PY - 2006/5/9/medline PY - 2006/1/18/entrez SP - 90 EP - 3 JF - Diabetic medicine : a journal of the British Diabetic Association JO - Diabet Med VL - 23 IS - 1 N2 - AIMS: To evaluate an algorithm with glucose prediction capacity and continuous adaptation of patient parameters-a model predictive control (MPC) algorithm-to control blood glucose concentration during fasting conditions in patients with Type 1 diabetes. In the subcutaneous (sc) route within a closed loop system. METHODS: Paired experiments were performed in six patients. Over 8 h the MPC algorithm was used to control glucose with s.c. insulin administration and two different glucose monitoring protocols: first, the algorithm was provided with intravenous (i.v.) glucose values for insulin dosage calculation directly (i.v.-s.c. route). Then, in the second experiment, i.v. glucose values were fed to the MPC with a delay of 30 min to simulate s.c. glucose measurements ('s.c.'-s.c. route). In both experiments plasma glucose, insulin dosage, and serum insulin levels were analysed. RESULTS: Glucose concentration was brought from hyper- to normoglycaemia and kept in the physiological range (6-7 mmol/l) with both routes in all subjects. Mean glucose concentration reached the threshold of 7 mmol/l approximately 2 (i.v.-s.c. route) and 3 ('s.c.'-s.c. route) hours after the start of glucose control with the MPC. During the last 2 h of automated glucose control, mean glucose concentration was 6.3 +/- 0.2 mmol/l and 6.6 +/- 0.3 mmol/l for i.v.-s.c. and 's.c.'-s.c. route, respectively. Glucose concentration, insulin doses, and serum insulin levels did not differ significantly between routes (P > 0.05). CONCLUSIONS: The MPC algorithm is suitable for glucose control during fasting within an extracorporeal artificial beta-cell in the subcutaneous route Type 1 diabetic patients. SN - 0742-3071 UR - https://www.unboundmedicine.com/medline/citation/16409572/On_line_adaptive_algorithm_with_glucose_prediction_capacity_for_subcutaneous_closed_loop_control_of_glucose:_evaluation_under_fasting_conditions_in_patients_with_Type_1_diabetes_ L2 - https://doi.org/10.1111/j.1464-5491.2006.01695.x DB - PRIME DP - Unbound Medicine ER -