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Ultrasound Assessment of Endothelial-Dependent Flow-Mediated Vasodilation of the Brachial Artery in Clinical Research
Published on: October 22, 2014
Comparison of arterial assessments in low and high vascular disease risk groups
Andrew M Wilson1, David O'Neal, Craig L Nelson
1University of Melbourne, Department of Medicine, St. Vincent's Hospital, Melbourne, Australia. wilsonam@svhm.org.au
Insights
Small arterial elasticity (SAE/C2) correlates with endothelial function (FMD) in healthy and diabetic individuals. Arterial function measure interrelationships differ between low and high vascular disease risk populations.
Area of Science:
- Cardiovascular Physiology
- Vascular Biology
- Biomedical Engineering
Background:
- Multiple arterial function assessments exist, including small and large arterial elasticity (SAE/C2, LAE/C1), flow-mediated dilation (FMD), carotid intima-media thickness (IMT), ankle-brachial index (ABI), pulse pressure (PP), and pulse wave velocity (PWV).
- Understanding the interrelationships between these measures is crucial for accurate vascular disease risk assessment.
Purpose of the Study:
- To assess the interrelationships between various arterial function measures in subjects with low and high vascular disease risks.
- To determine if arterial elasticity (C2) correlates with endothelial function (FMD) and other vascular parameters in healthy and diabetic populations.
Main Methods:
- Consecutive measurements of SAE (C2), LAE (C1), FMD, IMT, ABI, PP, and PWV were performed in 20 healthy subjects (HS) and 20 older subjects with type 2 diabetes mellitus (DM).
- All measurements were conducted by a single operator in a single session.
- Statistical correlations were analyzed between different arterial function parameters within each group.
Main Results:
- In HS, C2 correlated significantly with FMD, PWV, and ABI.
- In DM, C2 correlated with FMD, systolic blood pressure (BP), PP, and systemic vascular resistance.
- No significant correlations were found between anthropometric measures and arterial function, nor between IMT and any arterial function measure in either group.
Conclusions:
- Small arterial elasticity (C2) assessed by pulse wave analysis correlates with endothelial function (FMD) in both healthy young and older diabetic subjects.
- Blood pressure and pulse pressure correlate with C2 and FMD in older diabetic subjects, but not in healthy subjects.
- The interrelationships among arterial function measures vary significantly between low and high vascular disease risk populations, necessitating careful consideration in clinical applications.
Background:
An increasing number of arterial function assessments are available, including small and large arterial elasticity (SAE/C2, LAE/C1), endothelial function as measured by flow mediated dilation (FMD), carotid intima-medial thickness (IMT), ankle brachial index (ABI), pulse pressure (PP), and pulse wave velocity (PWV). We have consecutively performed these measures in subjects with low and high vascular disease risks to assess the interrelationships.
Methods And Results:
Twenty healthy subjects (HS) and 20 older subjects with type 2 diabetes mellitus (DM) were studied with all techniques at a single sitting by a single operator. In HS, C2 correlated with FMD (R = 0.577, P = .008), PWV (R = 0.522, P = .046), and ABI (R = 0.463, P = .04). There was no significant correlation of C1 and FMD or blood pressure (BP) measurements. In DM, C2 correlated with FMD (R = 0.443, P = .05), systolic BP (R = -0.553, P = .01), PP (R = -0.601, P = .005), and systemic vascular resistance (R = -0.577, P = .008). There was no significant correlation between anthropometric measures and arterial function measures in either group. The IMT was not correlated with any measure of arterial function in either group.
Conclusions:
C2 assessed by pulse wave analysis correlated with endothelial function measured by FMD in young apparently healthy subjects and older subjects with type 2 diabetes. Systolic BP and PP correlated with C2 and FMD in older diabetic subjects but not healthy subjects. The interrelationships between arterial function measures are different in high and low risk populations. This variability needs to be considered when applying these techniques to individuals in different populations.
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