Peritoneal Dialysis Patient Profiling with Low-Volume Mass Analysis
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Solution Overview
Problem
Conventional methods for determining peritoneal transport status in dialysis patients are labor-intensive, time-consuming, and prone to errors, requiring multiple clinic visits and laborious sample analysis, which affects patient health monitoring efficiency and accuracy.
Innovation Solution
A method utilizing mass analysis of low volumes of peritoneal dialysis effluent, such as less than 1 ml, to generate patient information for determining peritoneal transport status through LC-MS or MS, allowing categorization into classifications like high, high-average, low-average, or low transporters, and enabling personalized metabolomics-based transport tests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional methods are used to determine peritoneal transport status, then patient monitoring can be performed, but the process becomes labor-intensive and time-consuming
Solution Approach 1:
The patent replaces manual, labor-intensive conventional analysis methods with automated mass spectrometry technology. The mass spectrometry system automatically analyzes peritoneal dialysis effluent to determine peritoneal transport status, eliminating the need for manual sample processing and calculation while maintaining high accuracy. This substitution of mechanical/automated analysis for manual methods directly resolves the contradiction between reliable monitoring and operational efficiency.
2Measurement precision
If conventional sample analysis methods are used, then peritoneal transport status can be determined, but multiple clinic visits are required
Solution Approach 1:
The patent changes the analytical parameters and methods used for determining transport status. Instead of using conventional methods that require large sample volumes and multiple processing steps, the invention employs mass spectrometry with optimized parameters that enable accurate analysis of small effluent volumes (as little as 0.5-2 mL). This parameter optimization allows the entire analysis to be completed during a single clinic visit, eliminating the need for multiple visits while maintaining measurement precision.
3Reliability
If conventional methods are used for sample analysis, then transport status can be assessed, but the process is prone to errors
Solution Approach 1:
The patent replaces complex manual analysis procedures with automated mass spectrometry instrumentation. The instrument automatically performs sample introduction, ionization, mass analysis, and data processing, eliminating human error in manual calculations and sample handling. The system integrates multiple functions (sampling, analysis, calculation) into a single automated workflow, reducing process complexity despite the advanced technology involved.
4Ease of operation
If low volumes of effluent are analyzed, then patient burden is reduced, but sufficient sample information must be obtained
Solution Approach 1:
The patent optimizes analytical parameters of the mass spectrometry system to maximize information extraction from minimal sample volumes. The system uses sensitive detection parameters and optimized ionization conditions to obtain comprehensive metabolic profile data from as little as 0.5-2 mL of effluent. This parameter optimization ensures that sufficient information for accurate transport status determination is obtained while minimizing the volume of fluid removed from the patient, thereby reducing patient burden.
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 reduces the need for extra clinic visits, minimizes patient burden, and provides accurate, efficient monitoring of peritoneal transport status, thereby improving patient health outcomes and reducing complications.
Implementation Method 1
generating patient information via mass analysis of the volume of PD effluent
Implementation Method 2
the mass analysis comprising one of liquid chromatography-mass spectrometry (LC-MS) or mass spectrometry (MS)
Data Source
AI summary
Methods, apparatuses, and systems for determining a peritoneal transport status of a patient based on mass analyzing low volumes of peritoneal dialysis (PD) effluent to generate patient information that may be evaluated using PD effluent fingerprints to determine peritoneal transport characteristics of the patient are described. For example, in one embodiment, a method of determining a transport status of a dialysis patient may include obtaining a volume of peritoneal dialysis (PD) effluent of the dialysis patient, generating patient information via mass analysis of the volume of PD effluent, and determining patient profile information based on evaluating the patient information with a profile library, the patient profile information comprising a peritoneal transport status classification. Other embodiments are described.