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A Methodological Approach to Non-invasive Assessments of Vascular Function and Morphology
Published on: February 7, 2015
Descriptive study of relationship between cardio-ankle vascular index and biomarkers in vascular-related diseases
Jinbo Liu1, Huan Liu1, Hongwei Zhao1
1a Department of Vascular Medicine , Peking University Shougang Hospital , Beijing , P. R. of China.
Insights
Cardio-ankle vascular index (CAVI) increases with more vascular diseases. Biomarkers like urine albumin (UAE) correlate with arterial stiffness, indicating CAVI
Area of Science:
- Cardiovascular Medicine
- Vascular Biology
- Biomarker Research
Background:
- Cardio-ankle vascular index (CAVI) is a potential predictor of vascular events.
- Biomarkers including homocysteine (Hcy), N-terminal pro-brain natriuretic peptide (NT-proBNP), and urine albumin (UAE) are implicated in arteriosclerosis.
- The interplay between CAVI and these biomarkers in vascular diseases requires investigation.
Purpose of the Study:
- To investigate the relationship between CAVI and key biomarkers.
- To assess the association of CAVI with the number of vascular-related diseases (hypertension, diabetes mellitus, coronary heart disease).
- To identify independent predictors of CAVI among the studied biomarkers.
Main Methods:
- 656 subjects were enrolled and categorized into four groups based on the number of existing vascular diseases.
- Cardio-ankle vascular index (CAVI) was measured using the VS-1000 apparatus.
- Levels of Hcy, NT-proBNP, and UAE were assessed as potential correlating biomarkers.
Main Results:
- CAVI demonstrated a progressive increase with an increasing number of vascular diseases.
- Positive correlations were observed between CAVI and biomarkers Hcy, log NT-proBNP, and log UAE across study groups.
- Multivariate analysis identified log UAE as an independent factor associated with CAVI, even after adjusting for confounders.
Conclusions:
- CAVI is significantly elevated in individuals with hypertension, coronary heart disease (CHD), and diabetes mellitus (DM).
- Arterial stiffness, as indicated by CAVI, correlates with NT-proBNP, Hcy, and UAE levels.
- UAE emerges as a significant independent predictor of CAVI in a general vascular medicine population.
Background:
Cardio-ankle vascular index (CAVI) was supposed to be an independent predictor for vascular-related events. Biomarkers such as homocysteine (Hcy), N-terminal pro-brain natriuretic peptide (NT-proBNP), and urine albumin(microalbumin) (UAE) have involved the pathophysiological development of arteriosclerosis. The present study was to investigate relationship between CAVI and biomarkers in vascular-related diseases.
Methods:
A total of 656 subjects (M/F 272/384) from department of Vascular Medicine were enrolled into our study. They were divided into four groups according to the numbers of suffered diseases, healthy group (group 0: subjects without diseases of hypertension, diabetes mellitus (DM), coronary heart disease (CHD); n = 186), group 1 (with one of diseases of hypertension, CHD, DM; n = 237), group 2 (with two of diseases of hypertension, CHD, DM; n = 174), and group 3 (with all diseases of hypertension, CHD, DM; n = 59). CAVI was measured by VS-1000 apparatus.
Results:
CAVI was increasing with increasing numbers of suffered vascular-related diseases. Similar results were found in the parameters of biomarkers such as Hcy, log NT-ProBNP, and log UAE. There were positive correlation between log NT-proBNP, Hcy, log UAE, and CAVI in the entire study group and nonhealthy group. Positive correlation between log UAE and CAVI were found in the entire study group after adjusting for age, body mass index (BMI), blood pressure, uric acid, and lipids. Multivariate analysis showed that log UAE was an independent associating factor of CAVI in all subjects.
Conclusions:
CAVI was significantly higher in subjects with hypertension, CHD, and DM. There was correlation between arterial stiffness and biomarkers such as NT-proBNP, Hcy, and UAE.
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