1 / 10

Maria Pia Francescato

Maria Pia Francescato. Dep. Biomedical Sciences and Technologies University of Udine Italy. Glycaemia during exercise. Blood. Blood. Glucose. Glucose. Glucose. Glucose. =. Insulin. Insulin. Glycaemia. Glycaemia. =. Healthy subject. Patient.

maxim
Download Presentation

Maria Pia Francescato

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Maria Pia Francescato Dep. Biomedical Sciences and Technologies University of Udine Italy

  2. Glycaemia during exercise Blood Blood Glucose Glucose Glucose Glucose = Insulin Insulin Glycaemia Glycaemia = Healthy subject Patient (Modified from Wallberg-Henriksson, Med Sci Sports Exerc, 1989)

  3. Effect of insulin concentration 78 74 77 67 51 41 27 13 (Modified from Francescato et al, Metabolism, 2004)

  4. Glucose oxidation rate (Modified from Francescato et al, Diabetes Care, 2005)

  5. The algorithm: Patient’s data 1 –setting up the system Literature Amounts of dietary carbohydrates Level of physical fitness Type, dose, time scheduling of insulins Pharmacokinetic profile of insulins Patient’s insulin/ carbohydrate ratio Patient’s daily insulin profile Standard Insulin/ carbohydrates ratio “Efficacious” insulin profile % carbohydrates per unit insulin Daily profile of % carbohydrates required to prevent hypoglycaemia “Glucose pulse” for “sedentary” and “trained“ patients Glucose oxidation rate during exercise

  6. Actual exercise data The algorithm: 2 –estimating carbohydrates requirement Time scheduling Pre-exercise glucose level Exercise intensity (heart rate) Exercise duration % carbohydrates required to prevent early-onset hypoglycaemia Overall amount of glucose burned during exercise Excess glucose already available in the body Theorical amount of required carbohydrates Amount of carbohydrates to be consumed AFTER the exercise to prevent “late-onset” hypoglycaemia Carbohydrates to be consumed BEFORE/DURING exercise to avoid “early-onset” hypoglycaemia”

  7. Laboratory evaluation (Modified from Francescato et al, MSSE in press)

  8. The system via SMS

  9. Appropriateness of the amount of estimated carbohydrates Insufficient 11% Excessive 11% 77% Optimal

  10. Conclusions ECRES Maintaineuglycaemia during exercise Control ahyperglycaemic condition Glycaemic control after a lavish meal Control of body weightin insulin-dependent patients

More Related