Adaptive Peritoneal Dialysis Intra-Session Adjustments
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Solution Overview
Problem
Existing peritoneal dialysis systems lack the ability to adjust dialysis parameters in real-time based on changing patient needs during a therapy session, leading to suboptimal treatment effectiveness and patient comfort.
Innovation Solution
A computer-implemented method and system that adjusts dialysis parameters, such as osmotic agent concentration, dwell time, and cycle volume, using real-time patient physiological data from sensors, allowing for intra-session modifications to optimize each cycle of peritoneal dialysis therapy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pre-programmed settings are used for peritoneal dialysis cycles, then system simplicity is maintained, but therapy effectiveness deteriorates due to inability to adapt to changing patient needs
Solution Approach 1:
The system transitions from static pre-programmed settings to dynamic intra-session adjustments. Sensors continuously monitor patient physiological parameters (blood pressure, heart rate, temperature) and system parameters (fluid volume, flow rate), and the processor automatically adjusts dialysis parameters (dwell time, cycle volume, osmotic agent concentration) for subsequent cycles based on real-time data, making the system adaptive to changing patient needs during the therapy session
Solution Approach 2:
The system implements closed-loop feedback control where sensors measure patient physiological parameters and system operational parameters during each cycle, the processor analyzes this data to determine the effectiveness of current settings, and automatically modifies parameters for subsequent cycles. This feedback mechanism enables continuous optimization of therapy effectiveness without requiring external intervention
2Adaptability or versatility
If dialysis parameters are adjusted intra-session based on patient data, then therapy optimization is achieved, but device complexity increases
Solution Approach 1:
The system performs self-adjustment by automatically processing sensor data and modifying dialysis parameters without requiring external medical professional intervention during the therapy session. The processor autonomously interprets patient physiological data and system operational data to determine optimal parameter adjustments, enabling the system to serve itself in optimizing its own performance
Solution Approach 2:
The system integrates multiple functions into a single platform: it performs peritoneal dialysis delivery, continuously monitors patient physiological parameters via sensors, tracks system operational parameters, processes and analyzes the combined data, and automatically adjusts dialysis parameters. This multi-functional integration provides adaptability while consolidating complexity into a unified system architecture
3Measurement precision
If real-time sensor data is collected and processed, then patient-specific adjustments are enabled, but measurement and detection difficulty increases
Solution Approach 1:
The system combines multiple sensor types (blood pressure, heart rate, temperature, fluid volume, flow rate) into a unified monitoring platform that simultaneously tracks both patient physiological parameters and system operational parameters. The processor integrates and processes all these diverse data streams together, enabling comprehensive patient-specific adjustments while managing the complexity of detecting and measuring multiple parameters through a single coordinated system
Data Source
AI summary
The invention relates to systems and methods for adjusting one or more dialysis parameters for delivering a peritoneal dialysis cycle to a patient based on patient or system parameters. The systems and methods include various sensors, flow paths, and processors to adjust the dialysis parameters used to deliver peritoneal dialysis therapy, for a specific peritoneal dialysis cycle. For example, a first peritoneal dialysis cycle can provide data on patient or system parameters that can be used to adjust the dialysis parameters used to deliver a subsequent peritoneal dialysis cycle. One or more peritoneal dialysis cycles are contained in a particular peritoneal dialysis therapy session. Patient parameters can include patient blood pressure; volume of fluid removed; patient goal; blood solute level; effluent solute level; effluent temperature; effluent color or clarity; patient posture; tidal volume remaining in patient; and intraperitoneal pressure.