GDF-15 Biomarker Risk Stratification for Cardiac Intervention
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Solution Overview
Problem
Current diagnostic techniques for cardiovascular complications, particularly in emergency situations, are unreliable for accurate risk assessment and personalized treatment planning, often leading to insufficient or adverse treatment outcomes due to the lack of effective biomarkers for predicting cardiac interventions and mortality risks.
Innovation Solution
A method involving the determination of Growth-Differentiation Factor-15 (GDF-15) levels in a subject's sample, compared to a reference amount, to identify susceptibility to cardiac interventions and predict mortality or acute cardiovascular events, potentially combined with natriuretic peptide and cardiac troponin analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional diagnostic techniques (electrocardiographic and echocardiographic measurements, symptom analysis) are used for risk assessment, then the diagnostic process is simple and quick, but the reliability and accuracy of risk assessment is insufficient
Solution Approach 1:
The patent introduces new measurement parameters (biomarker concentrations such as GDF-15, natriuretic peptides, and cardiac troponin) to transform the diagnostic approach from conventional physiological measurements to molecular concentration analysis, thereby improving reliability of risk assessment
Solution Approach 2:
The patent uses biomarkers as intermediary substances that mediate between the physiological state and the diagnostic measurement, allowing indirect but more reliable assessment of cardiovascular risk through blood sample analysis
2Measurement precision
If conventional biomarkers (cardiac troponin, natriuretic peptides) are used alone for diagnosis, then the diagnostic method is straightforward, but the accuracy for personalized treatment planning is insufficient
Solution Approach 1:
The patent combines multiple biomarker measurements (GDF-15, natriuretic peptides, and cardiac troponin) into a single diagnostic approach, merging their individual predictive capabilities to achieve higher overall accuracy in risk assessment and personalized treatment planning
Data Source
AI summary
The present invention relates to a method of identifying a subject being susceptible to a cardiac intervention based on the determination of GDF-15 in a sample of a subject in need of a cardiac intervention. Moreover, the present invention pertains to a method for predicting the risk of mortality or a further acute cardiovascular event for a subject suffering from a cardiovascular complication based on the determination of GDF-15 and a natriuretic peptide and/or a cardiac troponin in a sample the said subject. Also encompassed by the present invention are devices and kits for carrying out the aforementioned methods.


