Blood Coagulation Analysis Using Centroid Parameters
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Solution Overview
Problem
Conventional blood coagulation tests are time-consuming and require significant effort, particularly in determining coagulation factor inhibitors, as they rely on qualitative graph patterns and methods like the Bethesda method, which are not suitable for automatic analysis and have limitations in sensitivity and time efficiency.
Innovation Solution
A method involving the calculation of parameters related to the centroid point from primary and secondary differential curves of coagulation reaction data, allowing for the evaluation of coagulation properties such as coagulation factor concentration and inhibitor titer with increased sensitivity and reduced testing time, applicable to automatic analyzers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional blood coagulation tests using qualitative graph patterns and Bethesda method are used, then coagulation factor inhibitor determination can be performed, but the testing time is long and significant manual effort is required
Solution Approach 1:
The patent replaces manual qualitative graph pattern analysis with automated computer-based calculation of centroid points from coagulation reaction curves. The system automatically calculates parameters such as centroid time, centroid height, and centroid area from the curves, eliminating the need for manual graph interpretation and significantly reducing testing time while maintaining determination accuracy.
Solution Approach 2:
The patent introduces new quantitative parameters (centroid time, centroid height, centroid area) derived from the coagulation reaction curves as alternative indicators for inhibitor determination. These parameters transform the qualitative assessment into quantitative measurements that can be automatically processed, reducing both time and manual effort while preserving diagnostic accuracy.
2Measurement precision
If conventional blood coagulation tests are used, then coagulation properties can be evaluated, but significant manual effort and time are required
Solution Approach 1:
The patent replaces manual coagulation property evaluation with an automated computer-based system that calculates centroid parameters from coagulation reaction curves. The system automatically determines coagulation factor concentrations, inhibitor presence, and other properties without manual intervention, significantly reducing operational effort while maintaining evaluation accuracy.
Solution Approach 2:
The system enables self-service automated analysis where the computer automatically processes coagulation reaction data, calculates relevant parameters, and generates evaluation results without requiring manual graph analysis or interpretation. The automated system performs all necessary calculations and determinations independently.
3Measurement precision
If Bethesda method is used for inhibitor titer measurement, then inhibitor levels can be determined, but the method is not suitable for automatic analysis and requires significant time
Solution Approach 1:
The patent replaces the manual Bethesda method with an automated computer-based system that calculates inhibitor titers by analyzing centroid parameters from coagulation reaction curves at different dilutions. The system automatically processes multiple dilutions, calculates centroid values, and determines inhibitor titers without manual intervention, enabling full automation while maintaining measurement accuracy.
Solution Approach 2:
The patent transforms the Bethesda method's manual endpoint determination into automated centroid parameter calculations. By using centroid time, height, and area as quantitative indicators, the system enables automated titer determination through mathematical analysis of coagulation curves, making the process suitable for automatic analysis while preserving accuracy.
Data Source
AI summary
Provided is a blood analysis method including: acquiring coagulation reaction data on a blood specimen; calculating a parameter related to a centroid point from a differential curve of the coagulation reaction data; and evaluating coagulation properties of the blood specimen using the parameter related to the centroid point.