Vascular Refill Estimation via Two-Compartment Model

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Solution Overview

Problem

End-stage renal disease patients undergoing hemodialysis face challenges in managing fluid excess due to impaired kidney function, as existing methods lack effective tools for monitoring and managing vascular refill dynamics, which are crucial for maintaining intravascular volume and blood pressure.

Innovation Solution

A system utilizing mathematical models to analyze vascular refill processes during dialysis, incorporating a two-compartment model that accounts for microvascular fluid shifts and lymph flow, allowing for the estimation of key parameters indicative of fluid dynamics, and enabling real-time monitoring and adjustment of treatment processes.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If mathematical models are used to estimate vascular refill parameters, then measurement precision of fluid dynamics is improved, but device complexity increases

Engineering Contradiction:
Improvevascular refill parameter estimationVSAvoidmodel-based estimation system
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent introduces mathematical models as an intermediary between measurable parameters (hematocrit, ultrafiltration rate) and unmeasurable physiological parameters (vascular refill rate, capillary permeability). The model acts as a mediator that translates accessible measurements into estimates of inaccessible fluid dynamics parameters, resolving the contradiction by providing precise estimation without requiring direct measurement devices for each parameter.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If continuous monitoring of vascular refill is implemented, then reliability of fluid management is improved, but use of energy increases

Engineering Contradiction:
Improvefluid management monitoringVSAvoidcontinuous monitoring system
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system utilizes existing monitoring infrastructure (hematocrit sensors, ultrafiltration rate measurements) that are already part of the dialysis treatment process. By leveraging these existing measurements and processing them through mathematical models, the system achieves continuous vascular refill monitoring without requiring additional energy-intensive sensors or measurement devices, thus improving reliability while minimizing additional energy consumption.

Inventive Principle:
Principle #25Self-service

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

The system provides accurate and continuous monitoring of vascular refill, enabling healthcare professionals to make informed decisions, improving patient outcomes by optimizing fluid management and reducing complications related to fluid overload and inflammation.

Implementation Method 1

fluid from the tissue (interstitial compartment) shifts into the intravascular space (driven by hydrostatic and oncotic pressure gradients)

Methodology Applied
Scientific EffectHydrostatic pressure gradient: Pressure Gradient

Implementation Method 2

fluid from the tissue (interstitial compartment) shifts into the intravascular space (driven by hydrostatic and oncotic pressure gradients)

Methodology Applied
Scientific EffectOncotic pressure gradient: Osmotic Pressure

Implementation Method 3

Measurements of hematocrit or blood protein concentration during HD form the basis of relative blood volume monitoring

Methodology Applied
Scientific EffectHematocrit measurement:

Implementation Method 4

Measurements of hematocrit or blood protein concentration during HD form the basis of relative blood volume monitoring

Methodology Applied
Scientific EffectBlood protein concentration measurement:

Implementation Method 5

Protein flux is described by a combination of both convection and diffusion

Methodology Applied
Scientific EffectConvection: Convection

Implementation Method 6

Protein flux is described by a combination of both convection and diffusion

Methodology Applied
Scientific EffectDiffusion: Diffusion

Data Source

PatentUS11878098B2System for analyzing vascular refill during short-pulse ultrafiltration in hemodialysis
Publication Date: 2024.01.23 FRESENIUS MEDICAL CARE HOLDINGS INC
  • US11878098B2 patent drawing
  • US11878098B2 patent drawing
  • US11878098B2 patent drawing

AI summary

A method includes: receiving measurements of a blood-related parameter corresponding to a patient undergoing hemodialysis; estimating a value of one or more hemodialysis treatment-related parameters by applying a vascular refill model based on the received measurements of the blood-related parameter, wherein the one or more hemodialysis treatment-related parameters are indicative of an effect of vascular refill on the patient caused by the hemodialysis; determining, based on the one or more estimated values of the one or more hemodialysis treatment-related parameters, a hemodialysis treatment-related operation; and facilitating performance of the treatment-related operation. The vascular refill model is a two-compartment model based on a first compartment corresponding to blood plasma in the patient's body, a second compartment based on interstitial fluid in the patient's body, and a semi-permeable membrane separating the first compartment and the second compartment.