Dynamic Insulin Sensitivity Assessment via Kinetic Modeling
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Solution Overview
Problem
Conventional methods for determining insulin sensitivity in diabetic patients are inaccurate due to the limited number of applied rules and failure to re-evaluate this dynamic parameter, which is particularly significant for adolescent users undergoing frequent changes during puberty.
Innovation Solution
A method and system that assess insulin sensitivity by receiving parameters corresponding to insulin and glucose concentrations, applying kinetic models to determine plasma insulin and glucose levels, and periodically re-evaluating the insulin sensitivity value for precise basal and bolus dosage calculations, using a combination of glucometers and continuous glucose monitors integrated into a semi-closed loop insulin infusion device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional rules are used to determine insulin sensitivity, then the method is simple to implement, but the accuracy of insulin sensitivity determination is poor
Solution Approach 1:
The patent transforms the static insulin sensitivity value into a dynamic parameter that is continuously updated based on real-time glucose monitoring data. The system periodically re-evaluates insulin sensitivity using kinetic models, allowing the assessment to adapt to changing physiological conditions, particularly during puberty when insulin sensitivity fluctuates frequently.
Solution Approach 2:
The system implements continuous feedback loops where glucose measurements are fed into kinetic models that update insulin sensitivity estimates. This feedback mechanism allows the system to automatically adjust the insulin sensitivity value based on observed glucose responses to insulin administration, improving accuracy without requiring complex manual interventions.
2Reliability
If insulin sensitivity is not re-evaluated periodically, then the assessment method is simple, but the parameter becomes outdated for adolescent users
Solution Approach 1:
The patent implements continuous glucose monitoring that enables ongoing assessment of insulin sensitivity without interruption. The system continuously collects glucose data and periodically updates the insulin sensitivity parameter, ensuring it remains current and reliable for dosing calculations throughout the day and across different physiological states.
Solution Approach 2:
The system performs preliminary assessments of insulin sensitivity during routine glucose monitoring periods, so that when dosing decisions need to be made, current and accurate sensitivity values are already available. This eliminates the need for separate, time-consuming assessment procedures at the point of care.
3Ease of operation
If manual calculation of insulin dosages is required, then the system is simple, but the burden on users is high and accuracy may be compromised
Solution Approach 1:
The system automatically calculates insulin dosages using the updated insulin sensitivity parameter and current glucose readings, eliminating the need for users to perform manual calculations. The algorithm independently determines the appropriate bolus dose based on the carbohydrate intake and current glycemic state, reducing user burden while maintaining or improving dosing accuracy.
Solution Approach 2:
The patent replaces the mechanical process of manual calculation with an automated computational system. The kinetic models and dosing algorithms are implemented in software that automatically processes glucose data and computes insulin recommendations, substituting human cognitive effort with machine-based calculation that is both faster and more consistent.
Data Source
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AI summary
A system for determining insulin sensitivity (IS) comprising at least one processor configured for: receiving a first parameter corresponding to an insulin dose in a subcutaneous tissue; applying a first kinetic model to obtain a plasma insulin concentration based on the first parameter; receiving a second parameter corresponding to a plasma glucose concentration; determining the insulin sensitivity (IS) based on the plasma insulin concentration and the second parameter; wherein the at least one processor is further configured for providing a recommendation to a user to validate the determined insulin sensitivity value (IS).