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Optimal infusion policy of intravenous morphine and ketamine - A Mixed-Integer Linear Programming application
Valentina Sartori1, Eleonora Zanderigo, Michal Kvasnica
1Automatic Control Laboratory, Swiss Federal Institute of Technology (ETH), CH-8092 Zurich, Switzerland, sartori@control.ee.ethz.ch.
This study identifies an optimal drug concentration range for morphine and ketamine infusions to maximize patient well-being and minimize drug use. The findings guide precise drug delivery for improved patient outcomes.
Area of Science:
- Pharmacology and Pharmacokinetics
- Control Systems Engineering
- Computational Medicine
Background:
- A novel model for drug interactions, including side effects, has been introduced.
- This model identifies an optimal effect compartment concentration range for maximizing patient well-being.
- This target range guides optimal drug infusion strategies.
Purpose of the Study:
- To apply the novel drug interaction model to the combination of intravenous morphine and ketamine.
- To identify the optimal concentration range for this drug combination.
- To design a controller for optimizing drug infusion based on this range.
Main Methods:
- Application of a recently proposed drug interaction and side effect model.
- Identification of the optimal effect compartment concentration range for morphine and ketamine.
- Formulation and solution of a mixed continuous-discrete optimal control problem.
- Controller design using the center of the optimal range as a reference value.
Main Results:
- The optimal concentration range for intravenous morphine and ketamine was identified.
- The center of this optimal range was determined for controller design.
- An optimal infusion policy was derived, minimizing overall drug consumption.
Conclusions:
- The novel model effectively identifies optimal therapeutic ranges for drug combinations.
- Optimized drug infusion policies can be designed to enhance patient well-being and reduce drug usage.
- This approach holds promise for personalized medicine and improved clinical outcomes.
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