Blood Filtration Feedback Control for Hemoconcentration Stability
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Solution Overview
Problem
Existing blood filtration systems risk hemoconcentration and instability due to excessive plasma removal, leading to cardiovascular, hemodynamic, and pulmonary instability, with varying plasma refill rates affecting patient safety.
Innovation Solution
A blood filtration system equipped with sensors to monitor physiological parameters like hematocrit and venous oxygen saturation, using a diagnostic matrix to adjust filtration rates and maintain stability, incorporating a controller to manage sensor data and display diagnostic points for healthcare providers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If ultrafiltration rate exceeds plasma refill rate to rapidly remove fluid, then fluid removal efficiency is improved, but hemoconcentration and clotting risk increase
Solution Approach 1:
The system continuously monitors hematocrit values and uses this feedback to dynamically adjust the ultrafiltration rate. When hematocrit increases indicating hemoconcentration, the system automatically reduces the filtration rate to prevent clotting, thus resolving the contradiction between rapid fluid removal and clotting prevention
Solution Approach 2:
The ultrafiltration rate is made dynamic rather than fixed, allowing the system to adapt in real-time to changing plasma refill rates and hematocrit levels. This dynamic adjustment enables the system to maintain high productivity when conditions permit while preventing hemoconcentration when risks arise
2Quantity of substance
If excessive plasma fluid is removed from circulatory system, then fluid overload is reduced, but cardiovascular stability deteriorates
Solution Approach 1:
The system monitors cardiovascular parameters and hematocrit levels continuously, using this feedback to adjust plasma removal rates. When signs of cardiovascular instability or excessive hemoconcentration appear, the system automatically reduces removal rate to maintain stability while still achieving fluid overload reduction
Solution Approach 2:
The system changes operational parameters (ultrafiltration rate, replacement fluid rate) based on real-time physiological measurements, allowing it to remove sufficient plasma fluid to treat overload while maintaining cardiovascular stability through dynamic parameter adjustment
3Reliability
If hematocrit monitoring is implemented to detect hemoconcentration, then patient safety is improved, but device complexity increases
Solution Approach 1:
The system performs self-monitoring of hematocrit and automatic self-adjustment of filtration parameters without requiring external intervention. This self-service capability enhances patient safety while the automation actually reduces operational complexity despite adding sensing components
Solution Approach 2:
The optical sensor system serves multiple functions: monitoring hematocrit, detecting hemoconcentration trends, and providing data for automated control decisions. This multi-functionality justifies the added complexity by consolidating multiple safety functions into a single integrated system
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 maintains cardiovascular, hemodynamic, and pulmonary stability by dynamically adjusting filtration rates based on real-time physiological data, reducing the risk of hemoconcentration and clotting, and enhancing accuracy in parameter determination.
Implementation Method 1
separates plasma water and electrolytes from erythrocytes (e.g., red blood cells, or the like) and other blood constituents by means of, for example, a single use, disposable filter
Implementation Method 2
the optical sensor 130 may be configured to determine optical characteristics of blood in the blood circuit 120
Implementation Method 3
the impedance sensor 1500 may be configured to determine one or more physiological parameters of a body of the patient
Data Source
AI summary
A blood filtration system may include one or more sensors. The sensors may determine physiological parameters, for instance one or more of venous oxygen saturation (Sv02) or hematocrit of a patient. The blood filtration system may include a controller. The controller may communicate with the one or more sensors. The controller may monitor the physiological parameters using the sensors. The controller may include a display module that generates content. A display may present the content. The content may include a diagnostic matrix having a diagnostic point. The display module may change the diagnostic point within the diagnostic matrix according to changes in the monitored physiological parameters.