Peritoneal Dialysis Assessment via Effluent Conductivity and Mathematical Modeling

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Solution Overview

Problem

Current peritoneal dialysis techniques, such as the Standard Peritoneal Equilibration Test (PET), provide a coarse characterization of the peritoneal membrane's functionality, are time-consuming, and require significant resources and blood samples, while alternative methods lack accuracy due to residual volume variations.

Innovation Solution

A method involving an input system for flow rate and solute concentration data during fluid exchange cycles, using a mathematical model to estimate solute concentrations and determine status parameters like transport properties and residual volume, eliminating the need for serum samples and improving characterization accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If Standard PET is used to assess peritoneal functionality, then comprehensive characterization is achieved, but the procedure becomes time-consuming and resource-intensive

Engineering Contradiction:
Improveperitoneal functionality characterizationVSAvoidtesting duration
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The invention extracts only the essential measurement component (effluent conductivity) from the complex Standard PET procedure, eliminating unnecessary steps like multiple blood draws, extensive laboratory analysis, and prolonged patient monitoring while retaining the core functionality assessment capability

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The invention creates a simplified proxy measurement system that copies the essential information from Standard PET through effluent conductivity analysis, providing a surrogate assessment method that correlates with comprehensive peritoneal functionality without requiring the full original protocol

Inventive Principle:
Principle #26Copying

2Measurement precision

If Standard PET is used for peritoneal testing, then detailed peritoneal transport characterization is obtained, but significant resources and laboratory analysis are required

Engineering Contradiction:
Improveperitoneal transport characterizationVSAvoidtesting resources
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The invention extracts the critical measurement signal (effluent conductivity) from the complex Standard PET workflow, removing the need for sophisticated laboratory infrastructure, multiple blood sampling equipment, and extensive data processing systems while preserving the essential diagnostic capability

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The invention employs simple, inexpensive conductivity measurement devices that can be used at the point of care without requiring expensive laboratory equipment, making the testing accessible and reducing infrastructure demands

Inventive Principle:
Principle #27Cheap short-living objects (Disposable)

3Loss of time

If simplified conductivity-based testing is used, then testing time is reduced, but accuracy deteriorates due to residual volume variations

Engineering Contradiction:
Improvetesting durationVSAvoidfunctionality characterization accuracy
Core Design Contradiction:
Loss of timeVSMeasurement precision

Solution Approach 1:

The invention incorporates feedback mechanisms where effluent conductivity measurements are continuously monitored and used to adjust or validate the assessment, allowing the system to compensate for residual volume variations through iterative measurement and correction

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The invention changes the measurement parameter from simple conductivity alone to a composite assessment that incorporates conductivity trends over time, dwell time variations, and effluent characteristics, transforming a single-parameter measurement into a multi-parameter evaluation that compensates for residual volume effects

Inventive Principle:
Principle #35Parameter changes

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

Enables a more detailed and accurate characterization of the peritoneal membrane's functionality, reducing the need for serum samples and resource-intensive testing, while accounting for residual volume variations, thus optimizing peritoneal dialysis prescriptions.

Implementation Method 1

Substances are removed from the patient's blood mainly by diffusion across the peritoneum into the treatment fluid

Methodology Applied
Scientific EffectDiffusion: Diffusion

Implementation Method 2

Excess fluid (water) is also removed by osmosis induced by the treatment fluid being hypertonic

Methodology Applied
Scientific EffectOsmosis: Osmosis

Data Source

PatentUS20230347034A1Status assessment of an individual undergoing peritoneal dialysis
Publication Date: 2023.11.02 GAMBRO LUNDIA AB
  • US20230347034A1 patent drawing
  • US20230347034A1 patent drawing
  • US20230347034A1 patent drawing

AI summary

A test method determines at least one status parameter of an individual undergoing peritoneal dialysis. The status parameter(s) may include a transport property of the peritoneum, a tonicity, or a residual volume. The test method includes receiving first data indicative of a flow rate as a function of time of a treatment fluid into and out of a peritoneal cavity during a test procedure, and second data comprising measured data samples representing a concentration of one or more solutes in the treatment fluid at time points during the test procedure. The test method also includes computing, based on the first data and by use of a transport model for a peritoneal membrane, estimated data samples representing the concentration of the one or more solutes in the treatment fluid at the time points and determining the status parameter(s) as a function of the measured data samples and the estimated data samples.