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Updated: Feb 25, 2026

Optical Coherence Tomography Based Biomechanical Fluid-Structure Interaction Analysis of Coronary Atherosclerosis Progression
Published on: January 15, 2022
Characterisation of clot microstructure properties in stable coronary artery disease
Ahmed Sabra1,2,3, Matthew James Lawrence1,2, Robert Aubrey1
1NISCHR Haemostasis Biomedical Research Unit, Morriston Hospital, ABMU Health Board, Swansea, UK.
Insights
The clot microstructure biomarker (df) can distinguish between obstructive and unobstructive coronary artery disease (CAD). This finding may help in risk-stratifying patients with stable chest pain and monitoring treatment effectiveness.
Area of Science:
- Cardiovascular Research
- Biomarker Discovery
- Thrombosis and Hemostasis
Background:
- Coronary artery disease (CAD) is linked to a prothrombotic state and altered clot microstructure.
- A previously identified clot microstructure biomarker (df) is unfavorably altered in acute myocardial infarction.
- The df biomarker quantifies clot density and packing.
Purpose of the Study:
- To assess if the df biomarker can differentiate between obstructive and unobstructed CAD in patients with stable chest pain.
- To investigate the potential of df in risk stratification and therapeutic monitoring for stable CAD.
Main Methods:
- 251 patients undergoing coronary angiography provided blood samples.
- Patients were categorized into obstructive CAD (stenosis ≥50%) and unobstructive CAD groups.
- Blood samples were analyzed using the df biomarker, standard laboratory markers, and Multiplate platelet aggregometry.
Main Results:
- A significant difference in df was observed between obstructive (1.748±0.057) and unobstructive CAD (1.732±0.052) (p=0.028), indicating denser clots in obstructive CAD.
- df was higher in men with obstructive CAD compared to women (p=0.007).
- df correlated with platelet response to arachidonic acid (ASPItest AUC, r=0.166, p=0.008), with effective aspirin use associated with looser clots.
Conclusions:
- This study characterizes clot microstructure using df in stable CAD patients for the first time.
- The df biomarker shows potential for risk-stratifying patients with stable CAD.
- df may be valuable in assessing the efficacy of therapies by monitoring changes in clot microstructure.
Background:
Coronary artery disease (CAD) is associated with an increased prothrombotic tendency and is also linked to unfavourably altered clot microstructure. We have previously described a biomarker of clot microstructure (df) that is unfavourably altered in acute myocardial infarction. The df biomarker assesses whether the blood will form denser or looser microstructures when it clots. In this study we assessed in patients with stable chest pain whether df can differentiate between obstructed and unobstructed CAD.
Methods:
A blood sample prior to angiography was obtained from 251 consecutive patients undergoing diagnostic coronary angiography. Patients were categorised based on angiographic findings as presence or absence of obstructive CAD (stenosis ≥50%). The blood sample was assessed using the df biomarker, standard laboratory markers and platelet aggregometry (Multiplate).
Results:
A significant difference (p=0.028) in df was observed between obstructive CAD (1.748±0.057, n=83) and unobstructive CAD (1.732±0.052, n=168), where patients with significant CAD produce denser, more tightly packed clots. df was also raised in men with obstructive CAD compared with women (1.745±0.055 vs 1.723±0.052, p=0.007). Additionally df significantly correlated with the platelets response to arachidonic acid as measured by the ASPItest area under the curve readings from platelet aggregometry (correlation coefficient=0.166, p=0.008), a low value of the ASPItest indicating effective aspirin use was associated with looser, less dense clots.
Conclusions:
For the first time, we characterise clot microstructure, as measured by df, in patients with stable CAD. df can potentially be used to risk-stratify patients with stable CAD and assess the efficacy of therapeutic interventions by measuring changes in clot microstructure.
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