Dynamic Insulin Sensitivity Factor Calculation for Glycemic Control
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Solution Overview
Problem
Current automated insulin delivery systems assume a static insulin sensitivity factor, leading to inaccurate insulin dosing and failure to account for varying insulin effectiveness across different glycemic levels, resulting in either over- or under-administration of insulin.
Innovation Solution
A dynamic mathematical formula that calculates insulin sensitivity based on the patient's total daily insulin dose, basal to bolus insulin ratio, and the time it takes for the insulin to reach peak concentration, allowing for more accurate dosing adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a static insulin sensitivity factor is used in automated insulin delivery systems, then the system operation is simple and device complexity is reduced, but the dosing accuracy deteriorates and glycemic control precision worsens due to failure to account for varying insulin effectiveness at different glycemic levels
Solution Approach 1:
The patent transforms the static insulin sensitivity factor into a dynamic calculation that adapts to varying glycemic conditions. The system now calculates insulin sensitivity factors based on current blood glucose levels, insulin-on-board data, and patient-specific parameters, allowing the dosing algorithm to adjust automatically to changing physiological states and improve dosing accuracy without requiring complex manual intervention
Solution Approach 2:
The patent changes the parameter of insulin sensitivity from a fixed constant to a variable that changes based on glycemic level and insulin-on-board status. By implementing a calculation that adjusts the sensitivity factor in real-time based on current glucose readings and recent insulin administration history, the system achieves more precise dosing while maintaining automated operation
2Ease of operation
If a static insulin sensitivity factor is assumed, then the calculation method is simple and ease of operation is improved, but the reliability of insulin dosing deteriorates due to over- or under-administration of insulin
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors blood glucose levels, insulin administration history, and calculated sensitivity factors. This feedback loop allows the system to adjust future dosing recommendations based on actual glycemic responses to previous insulin administrations, improving reliability by learning from and adapting to individual patient responses while maintaining automated calculation
3Ease of manufacture
If insulin sensitivity is treated as constant, then the model complexity is reduced and ease of manufacture is improved, but the adaptability to varying glycemic conditions deteriorates
Solution Approach 1:
The patent makes the insulin sensitivity model dynamic by incorporating real-time glycemic data and insulin-on-board information into the sensitivity calculation. This allows the model to adapt to varying glycemic conditions and insulin effectiveness at different glucose levels, improving versatility while maintaining automated calculation through standardized algorithms that can be implemented in existing pump software
Data Source
AI summary
This invention discloses a method of calculating insulin sensitivity factors for use in calculating insulin doses dynamically as a function of current blood glucose level based on a temporally-weighted average of the patient's total daily insulin dose, the pharmacodynamic and/or pharmacokinetic profile of the insulin used, and the patient's typical ratio of basal insulin to bolus insulin. When average total daily insulin and the other relevant variables are inserted into the equation, the result is a mathematical function that can be used to estimate the effects of each unit of insulin delivered on a patient's blood glucose level. This mathematical equation is valid over a wide range of diabetic conditions and could be widely used throughout the world at very little cost (and at considerable improvement) to the current technology in use for these purposes.