Coagulation Curve Differentiation for Faster Delay Cause Identification
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Solution Overview
Problem
Conventional blood coagulation tests face challenges in accurately distinguishing between coagulation factor inhibitors and lupus anticoagulants due to qualitative graph patterns and require lengthy heating and measurement times, making it difficult to determine the cause of coagulation delays.
Innovation Solution
A method involving the analysis of coagulation reaction curves through differentiation to calculate center-of-gravity points and utilize parameters such as vT, vH, pT, pH, and mT to quantify coagulation factors and identify the cause of coagulation time prolongation, using mixed plasma with and without heating treatments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional cross-mixing test with heating treatment is performed to distinguish between coagulation factor inhibitors and lupus anticoagulants, then diagnostic accuracy is improved, but test time is significantly increased
Solution Approach 1:
The patent performs preliminary classification of coagulation abnormalities using waveform parameters (maximum coagulation rate, maximum coagulation acceleration, maximum coagulation deceleration) before conducting the cross-mixing test. This preliminary action identifies likely candidates (inhibitors vs. other causes) so that heating treatment is only applied when necessary, significantly reducing overall test time while maintaining diagnostic accuracy for inhibitor detection
Solution Approach 2:
The patent changes the parameter being measured from traditional APTT time alone to multiple waveform parameters (coagulation rate, acceleration, deceleration) that provide richer information about the coagulation process. This allows for more accurate classification and reduces reliance on lengthy heating procedures, as the waveform characteristics themselves provide diagnostic clues
2Device complexity
If qualitative graph patterns are used to determine coagulation delay causes, then test complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent transforms the qualitative graph pattern analysis into quantitative measurements by extracting specific waveform parameters (maximum coagulation rate, maximum coagulation acceleration, maximum coagulation deceleration and their corresponding times). These numerical parameters provide objective, precise data for classification while maintaining relatively simple test procedures
Solution Approach 2:
The patent replaces the subjective visual interpretation of graph patterns with automated computational analysis of waveform parameters. The analysis apparatus automatically calculates and compares numerical values against reference ranges, eliminating human subjectivity and improving diagnostic precision without significantly increasing operational complexity
3Measurement precision
If multiple coagulation parameters are measured and analyzed, then diagnostic accuracy is improved, but analysis complexity increases
Solution Approach 1:
The patent segments the coagulation analysis into distinct phases: initial waveform parameter extraction (maximum rate, acceleration, deceleration), preliminary classification based on these parameters, and then selective cross-mixing test only for inhibitor suspects. This segmentation breaks down the complex analysis into manageable steps, improving diagnostic accuracy while controlling analysis complexity through structured progression
Data Source
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AI summary
Excellent analysis of a coagulation characteristic of a blood sample is implemented. A method for analyzing a coagulation characteristic of a blood specimen according to the present invention includes: acquiring data for a coagulation reaction curve indicating a coagulation reaction amount of a mixed solution containing a blood sample and a reagent with respect to reaction time; calculating data for a differential curve obtained by differentiating the coagulation reaction curve; calculating information related to a center-of-gravity point of the differential curve; and evaluating the coagulation characteristic of the blood sample using the information related to the center-of-gravity point.