Dose Titration Control for Obstructive Sleep Apnea Pharmacotherapy
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Solution Overview
Problem
Existing pharmacotherapy for obstructive sleep apnea faces challenges in determining optimal medicament doses over time due to changes in patient physiology and tolerance, with existing methods failing to account for individual subject responses and varying side effects.
Innovation Solution
A computer-implemented method for dose titration that adjusts medicament doses based on individual subject responses, using various monitoring signals to optimize therapeutic efficacy while minimizing side effects, incorporating oxybutynin and atomoxetine to enhance airway patency during REM and NREM sleep.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If pharmacotherapy is used to treat OSA, then treatment comfort is improved compared to CPAP, but determining optimal dose levels over time becomes difficult due to changing patient physiology and tolerance
Solution Approach 1:
The system implements automated feedback loops where patient response data (efficacy measures and side effect measures) are continuously collected and fed back to adjust medicament dose levels. This automated feedback mechanism resolves the contradiction by eliminating the need for complex manual dose determination while maintaining treatment comfort through pharmacotherapy.
Solution Approach 2:
The system enables self-service dose optimization by automatically monitoring patient responses and adjusting doses without requiring complex external intervention. The automated determination of dose titration based on collected data allows the system to self-regulate optimal dosing, reducing the burden on healthcare providers while maintaining comfort.
2Ease of operation
If fixed dose levels are used, then treatment simplicity is maintained, but efficacy decreases as patients change over time in weight, sleeping position, age
Solution Approach 1:
The system transitions from static fixed dosing to dynamic dose adjustment by continuously adapting medicament levels based on changing patient physiology. The automated dose titration mechanism allows treatment to evolve with patient changes in weight, age, and sleeping position, maintaining both simplicity and reliability simultaneously.
Solution Approach 2:
The system automatically adjusts dosing parameters (medicament levels) in response to detected changes in patient parameters (weight, age, sleeping position). This dynamic parameter adjustment maintains treatment efficacy while preserving simplicity through automated adaptation rather than manual intervention.
3Reliability
If higher medicament levels are used, then therapeutic efficacy is improved, but side effects increase requiring close monitoring
Solution Approach 1:
The system uses real-time feedback from side effect monitoring to automatically adjust medicament levels, preventing excessive dosing that would cause harmful side effects. This feedback mechanism allows the system to push therapeutic efficacy close to the optimal limit while automatically retreating when side effects appear, achieving high efficacy with minimal harm.
Solution Approach 2:
The system employs a trial-and-error approach where medicament levels are temporarily increased to test efficacy thresholds, then adjusted downward when side effects manifest. This partial excessive action allows the system to explore optimal dosing boundaries while the automated monitoring ensures side effects are quickly detected and corrected.
4Device complexity
If manual dose adjustment is used, then system complexity is reduced, but time consumption increases for determining optimal doses
Solution Approach 1:
The system replaces manual mechanical dose adjustment processes with automated electronic monitoring and calculation systems. Although this increases device complexity, it dramatically reduces time consumption by eliminating manual assessment and calculation, allowing rapid adaptation to patient changes without prolonged determination periods.
Solution Approach 2:
The system performs self-service dose optimization by automatically collecting data, analyzing responses, and determining optimal doses without external intervention. This automation reduces time consumption for dose determination while the standardized algorithms keep system complexity manageable.
Data Source
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AI summary
The invention provides a computer-implemented method for controlling a dose titration of a medicament to be provided to a subject for treating obstructive sleep apnea. The method includes obtaining a dose level of a previous dose of the medicament, the previous dose having been provided to the subject and obtaining a medicament efficacy measure based on a response of the subject to the previous dose. A dose titration for a future dose of the medicament is determined based on the medicament efficacy measure and the dose level of the previous dose.