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Incorporating different food products and composite meals in the Eindhoven Diabetes Education Simulator (E-DES)
Anne Maas, MSc ([email protected])
Researcher at Máxima Medical Center, Eindhoven
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The problem…
???
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Eindhoven Diabetes Educational Simulator (E-DES)
Objective:Practice safely, independently at home!
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Simplified physiological model
• Gut, plasma and remote compartments
• In- and outflow of glucose and insulin
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In equations
Glucose in gut
Glucose in plasma
Insulin in plasma
Insulin in remote compartment
gut2
pl
meal1
11
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,d
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Model calculates glucose and insulin
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Fit model on data
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Fit model on data
time
con
cen
trati
on
magnitudeerror
peak (simulation)
peak (data)
data
original model
error
optimal model
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Predicting OGTT data for healthy people
Plasma glucose Plasma insulin
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From clinical to home setting: food inclusion
• Hypothesis: capture differences in dynamic profile by adjusting mathematical model
Graph from Sadler 2011, ILSI Europe Concise Monograph Series
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Meal ingestion data from literature
• Literature search glucose + insulin data• 18 publications• 57 meals, 220 subjects total
• 35 meals included, … subjects total
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Resulting model fits for different meals
Plasma glucose
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Adjustments in the model
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Conclusion & outlook
• Conclusion:– 35 different food products/meals included– Wide variety of meals– Only food intake part of model adjusted
• Outlook:– Dinner data largely missing measure 6
dinners in new research– Method & food profiles transferable to
model for diabetes type 1 and 2
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• Y Rozendaal• N van Riel• P Hilbers• W Cottaar
• C van Pul• H Haak
Sponsored by Novo Nordisk
The team