Red Blood Cell Exponent Prediction via Dual-Mode Measurement
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Solution Overview
Problem
Current methods for determining the stage of chronic kidney disease and predicting cerebral infarction rely heavily on hemoglobin levels, which are not independently correlated with red blood cell counts, and lack efficient tools for assessing the therapeutic effect of erythropoietic factor preparations.
Innovation Solution
A method utilizing electrical resistance and optical measurement techniques to calculate exponent values from red blood cell counts, allowing for the determination of chronic kidney disease stages, therapeutic effect assessment, and prediction of cerebral infarction by comparing these values against reference ranges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If hemoglobin level is used for determining chronic kidney disease stage, then the determination can be performed, but red blood cell count measured by general automatic hemocyte counter is not an independent index and cannot provide additional diagnostic value
Solution Approach 1:
The patent segments the red blood cell count measurement into two independent measurement systems: electrical resistance measurement and optical measurement. By dividing the measurement process into separate channels with different principles, each measurement retains independence and provides unique diagnostic information that complements hemoglobin level, thereby resolving the contradiction between using hemoglobin for determination and maintaining independent diagnostic value of red blood cell count
Solution Approach 2:
The patent introduces different measurement methods (electrical resistance and optical methods) as intermediary means to measure red blood cell count. These intermediary measurement approaches enable the red blood cell count to serve as an independent index by providing measurements through different physical principles, thus adding independent diagnostic value beyond hemoglobin level alone
2Ease of operation
If single measurement method is used for red blood cell count, then the measurement process is simple, but the ability to predict cerebral infarction and assess therapeutic effect is insufficient
Solution Approach 1:
The patent merges electrical resistance measurement and optical measurement results to calculate the exponent value. By combining multiple measurement methods, the system achieves both operational feasibility (through automated multi-parameter measurement) and high reliability (through exponent value-based prediction of cerebral infarction and assessment of erythropoietic factor therapeutic effects)
3Measurement precision
If multiple measurement methods are combined to calculate exponent value, then prediction accuracy and therapeutic effect assessment improve, but the measurement and calculation complexity increases
Solution Approach 1:
The patent creates a multi-functional measurement system where the blood analyzer performs both electrical resistance measurement and optical measurement using a single device. The system universally handles multiple measurement types and automatically calculates the exponent value, achieving high prediction accuracy and therapeutic effect assessment capability while maintaining device integration and operational simplicity
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 provides accurate staging of chronic kidney disease, effective evaluation of erythropoietic factor treatments, and early prediction of cerebral infarction risks, leveraging the correlation between red blood cell counts measured by different methods.
Implementation Method 1
a first measured value indicating red blood cell count measured by electrical resistance measurement method
Implementation Method 2
a second measured value indicating red blood cell count measured by optical measurement method
Data Source
AI summary
Disclosed is a method for assisting prediction of onset of cerebral infarction, based on the number of red blood cells contained in a blood sample collected from a subject, comprising the steps of:calculating an exponent value for the prediction from a first measured value indicating red blood cell count measured by electrical resistance measurement method and a second measured value indicating red blood cell count measured by optical measurement method,comparing the exponent value with a reference range, andsuggesting that the subject develops cerebral infarction when the exponent value is outside the reference range.