Automated Insulin Delivery With Pramlintide for Post-Meal Glucose Control
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Solution Overview
Problem
Conventional automatic drug delivery systems struggle to effectively manage glucose levels during the post-prandial period due to the limited aggressiveness in responding to minor glucose deviations, often requiring user interaction to compensate for meal ingestion, leading to extended periods of hyperglycemia.
Innovation Solution
The integration of Pramlintide with insulin delivery systems, either through separate reservoirs or a co-formulation, allows for a less aggressive insulin delivery algorithm to 'catch up' with meal-induced glucose excursions by delaying gastric emptying, reducing the need for user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a less aggressive insulin delivery algorithm is used, then the system can compensate for meal-induced glucose excursions without requiring user interaction, but the system responds more slowly to glucose deviations
Solution Approach 1:
The system performs preliminary action by detecting meal ingestion events and administering Pramlintide before significant glucose excursions occur. This preliminary intervention delays gastric emptying and prevents the need for aggressive insulin responses, allowing the less aggressive algorithm to catch up and compensate effectively without requiring user interaction.
2Object-affected harmful factors
If Pramlintide is administered to delay gastric emptying, then the peak post-prandial hyperglycemia is reduced, but the duration of hyperglycemia is extended
Solution Approach 1:
The system administers Pramlintide in advance of meal ingestion to delay gastric emptying and reduce peak hyperglycemia. By timing the intervention beforehand, the system manages the glucose excursions more effectively throughout the extended post-prandial period.
Solution Approach 2:
The system uses continuous glucose monitoring feedback to adjust insulin delivery dynamically. The closed-loop algorithm responds to real-time glucose readings and adjusts insulin administration based on the actual glucose trajectory, compensating for the extended duration of hyperglycemia caused by Pramlintide's gastric emptying delay.
3Reliability
If the insulin delivery system acts more aggressively against minor glucose deviations, then glucose control is improved, but the risk of hypoglycemia increases
Solution Approach 1:
Pramlintide acts as an intermediary substance that modulates the relationship between meal ingestion and glucose excursions. By delaying gastric emptying and reducing peak hyperglycemia, it allows the insulin delivery system to use less aggressive algorithms while maintaining effective glucose control and reducing hypoglycemia risk.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enhances glucose control during the post-prandial period by allowing the insulin delivery system to respond more effectively to meal-induced glucose fluctuations without causing extended hyperglycemia, thereby improving user convenience and reducing weight gain.
Implementation Method 1
Pramlintide is an analog to the naturally occurring human hormone Amylin, whose primary effect is reduced gastric emptying, and thus decreased acute impact of long-term insulin needs
Data Source
AI summary
Disclosed herein are systems and methods for the delivery of insulin and pramlintide using an automated insulin delivery system. In a first embodiment, a drug delivery system is configured to deliver independent doses of insulin and pramlintide. The system monitors the user's blood glucose level and determines when a meal is been ingested and, in response, delivers the dose of pramlintide which, in turn alters the required delivery of insulin. In the second embodiment, the drug delivery system is configured to deliver a co-formulation of insulin and pramlintide as basal doses. The total amount of pramlintide delivered in a most recent pre-determine period of time, for example, 24 hours, is used to alter the aggressiveness of the algorithm which determines the basal doses of the co-formulation.


