Coupled Stochastic Differential Modeling for Glucose and Insulin levels among Healthy and Diabetic Patients

Author(s):  
Kiran Kumar Paidipati ◽  
2007 ◽  
Vol 30 (3) ◽  
pp. 26
Author(s):  
A. Ferland ◽  
P. Brassard ◽  
S. Croteau ◽  
S. Lemieux ◽  
J. Bergeron ◽  
...  

Background/Objective: More than 60% of type 2 diabetic individuals present with hypertension and have higher risk of cardiac complications. In addition to behavioural modifications, such as healthy food choices and regular physical activity, beta-blocker (BB) treatment may be considered in order to reduce morbidity and mortality especially following a cardiovascular event. However, this medication is generally associated with a deleterious impact on glucose metabolism. To assess the impact of a BB treatment on glucose response in type 2 diabetic patients exempt of cardiovascular complications. Methods: Six sedentary men, treated with diet and/or a hypoglycemic agent performed four exercise sessions at 60% of their VO2 peak, in the fasted state or 2 hours after a standardized breakfast, with and without BB (Atenolol 100 mg id for five consecutive days). Blood samples were assayed during the resting period, at 15-minutes intervals during the exercise session and the recovery period. Results: A reduction of blood glucose levels was observed following the exercise session performed in the postabsorptive state (41% and 37% reduction with and without BB treatment respectively; P < 0.01). One hour of exercise performed in the fasted state had minimal impact on glucose and insulin levels, with or without BB. BB treatment was not associated with increased baseline blood glucose or insulin levels in the fasted or the postabsorptive situation. Conclusion: These results suggest that the nutritional status has a more important impact on plasma glucose and insulin modulation than short-term use of BB per se.


2020 ◽  
Vol 9 (1) ◽  
pp. 43 ◽  
Author(s):  
Yukie Fuse ◽  
Mariko Higa ◽  
Naoko Miyashita ◽  
Asami Fujitani ◽  
Kaoru Yamashita ◽  
...  

1995 ◽  
Vol 269 (6) ◽  
pp. E1115-E1124 ◽  
Author(s):  
W. R. Puckett ◽  
E. N. Lightfoot

Many diabetic patients taking multiple subcutaneous insulin injections cannot adjust their dosage appropriately to maintain blood glucose within a normal range. It is hard to predict how dosage changes and physiological fluctuations affect insulin levels and subsequently glucose control. To examine these issues, we have developed a model representing the link between dosage and blood insulin levels. Our model adequately predicts insulin concentrations for individual patients and could be incorporated into an overall glucose-insulin representation. More importantly, parameter and sensitivity analysis results highlight insulin kinetic features that are difficult to isolate in a clinical setting and that may significantly influence glucose dynamics. For example, large interpatient variation, measured quantitatively by model parameters, emphasizes the need for individualized design of insulin regimens. Intrapatient variations are also large in some patients. Improved control for these patients may only be possible through more frequent sampling and control action. The sensitivity coefficient for absorption suggests a significant overlapping injection effect that is not considered in present patient management strategies.


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