Literature DB >> 23533216

Descriptive study of possible link between cardioankle vascular index and homocysteine in vascular-related diseases.

Hongyu Wang1, Jinbo Liu, Qi Wang, Hongwei Zhao, Hongyan Shi, Xiaolan Yu, Xiaobao Fu.   

Abstract

OBJECTIVES: Cardioankle vascular index (CAVI) is a new index of arterial stiffness independent of immediate blood pressure. Homocysteine (Hcy) is an independent risk factor for vascular diseases. The aim of this study was to investigate the relationship between Hcy and CAVI in the vascular-related diseases.
DESIGN: Descriptive research. PARTICIPANTS: 88 patients (M/F 46/42) with or without hypertension, coronary artery disease or arteriosclerosis obliterans were enrolled to our study. They were divided into two groups according to the level of Hcy.
METHODS: CAVI, carotid-femoral pulse wave velocity (CF-PWV) and carotid-radial pulse wave velocity (CR-PWV) were measured by VS-1000 and Complior apparatus.
RESULTS: There was significant correlation between Hcy and CF-PWV, CR-PWV, CAVI in the entire group (r=0.33, p=0.002; r=0.51, p<0.001; r=0.42, p<0.001, respectively). And there was significant correlation between Hcy and CF-PWV, CR-PWV, CAVI in the vascular-related disease group (r=0.23, p=0.048; r=0.51, p<0.001; r=0.392, p=0.001, respectively). The level of Hcy was significantly higher in patients with one or more vascular diseases than in patients without vascular diseases. The levels of CF-PWV, CR-PWV and CAVI were significantly higher in Hcy ≥15 μmol/l group than in Hcy <5 μmol/l group (13.7±3.0 vs 10.8±2.5, p < 0.001; 10.6±2.1 vs 9.2±1.6, p=0.001; 9.30±2.1 vs 7.79±2.1, p=0.001, respectively). Multiple linear regression showed that Hcy, body mass index (BMI) and age were independent associating factors of CAVI in the entire study group (β=0.421, p=0.001; β=-0.309, p=0.006; β=0.297, p=0.012, respectively). And Hcy, BMI and age were independent influencing factors of CAVI in the vascular-related disease group (β=0.434, p=0.001; β=-0.331, p=0.009; β=0.288, p=0.022, respectively).
CONCLUSIONS: CAVI was positively correlated with Hcy in the vascular-related diseases.

Entities:  

Year:  2013        PMID: 23533216      PMCID: PMC3612818          DOI: 10.1136/bmjopen-2012-002483

Source DB:  PubMed          Journal:  BMJ Open        ISSN: 2044-6055            Impact factor:   2.692


To investigate the relationship between homocysteine (Hcy) and cardioankle vascular index (CAVI) in the vascular-related diseases. Hcy was positively correlated with CAVI in the vascular-related diseases. The present study first showed the relationship between Hcy and CAVI in the vascular-related diseases. The small sample size, cases and controls were not perfectly matched.

Introduction

Arterial stiffness is a strong predictor of future cardiovascular events and all-cause mortality. And it is one of the earliest detectable manifestations of adverse structural and functional changes within the vessel wall.1 Arterial stiffness can be measured by pulse wave velocity (PWV), which is considered as the gold standard method suggested by European Society of Hypertension/European Society of Cardiology guidelines.2 And our previous studies also showed that PWV was positively correlated with pulse pressure and it was increased in hypertension patients with left ventricular hypertrophy.3 4 However, PWV itself is essentially dependent on blood pressure especially immediate blood pressure. Cardioankle vascular index (CAVI), a new index of arterial stiffness independent of blood pressure, is recently developed by measuring of PWV and blood pressure.5 Recent studies have showed that CAVI was a reliable index of arterial stiffness in many vascular-related diseases.6 7 Homocysteine (Hcy) has been considered as an independent risk factor for atherosclseosis.8 The possible mechanism of this process includes endothelial cell damage, vascular endothelial dysfunction and enhanced oxidative stress. Recent studies showed that Hcy caused endothelial dysfunction through inhibiting the reactions between endothelial nitric oxide synthase and tetrahydrobiopterin.9 10 Our previous study showed that chronic hyperhomocysteinaemia (HHcy) contributed to coronary artery disease (CAD) by inhibiting dysfunction of the coronary artery endothelium.11 Increased arterial stiffness resulted from many factors such as endothelial dysfunction, smooth muscle cells proliferation, thickening of vascular wall. Kadota et al12 had showed positive correlation between Hcy and CAVI in general population. However, the relationship between CAVI and Hcy in the vascular-related diseases such as hypertension, CAD and arteriosclerosis obliterans (ASO) was still unknown, especially in patients with one more kinds of vascular-related diseases. In the present study, we investigated the possible link between CAVI and Hcy in the vascular-related diseases such as hypertension, CAD and ASO.

Materials and methods

Subjects

Eight-eight patients (M/F: 46/42) with or without hypertension, CAD or ASO from vascular medicine department of Peking University Shougang Hospital from February 2012 to April 2012 were enrolled into our study. There were 57 patients with hypertension, 43 with CAD and 25 patients with ASO in the whole study group. And there were 12 patients without hypertension, CAD and ASO but suffering one of these two diseases, acute upper respiratory tract infection or acute gastritis. Hypertension was defined as blood pressure measurement ≥140/90 mm Hg in three occasions at rest or participants with known cases of diagnosed hypertension before and taking antihypertensive drugs at present. CAD or ASO was defined as the narrowing or blockage of coronary artery or lower extremity artery diagnosed by angiography. HHcy was defined as the level of plasma Hcy ≥15 μmol/l.11 Enrolled patients were divided into four groups according to numbers of suffering vascular-related diseases. Also they were divided into two groups according to level of Hcy (Hcy <15 μmol/l group, N=43 and Hcy ≥15 μmol/l group, N=45). All participants gave their written informed consent. This study was approved by the ethics committee of the Health Science Center, Peking University.

PWV measurement

Arterial stiffness was evaluated by measuring automatic PWV using the Complior apparatus. The basic principle of PWV assessment is that pressure pulse generated by ventricular ejection is propagated along the arterial system at a speed determined by elasticity of the arterial wall. Knowing the distance and pulse transit time, the velocity can be calculated. Patients were placed in recumbent position and, after a 10 min rest, underwent PWV measurement and carotid-femoral PWV (CF-PWV) and carotid-radial PWV (CR-PWV) was obtained automatically. CF-PWV and CR-PWV are both reliable index for arterial stiffness of vascular diseases.2 13 And we chose the right PWV for analysis.

Assessment of CAVI

CAVI was recorded using a VaseraVS-1000 vascular screening system (Fukuda Denshi, Tokyo, Japan) with the participant resting in a supine position. ECG electrodes were placed on both wrists, a microphone for detecting heart sounds was placed on the sternum, and cuffs were wrapped around both the arms and ankles. After automatic measurements, obtained data were analysed by software, and the value of CAVI was obtained automatically.14 And we chose the right CAVI for analysis.

Laboratory measurements

Blood samples were drawn from an antecubital vein in the morning after overnight fasting and collected into vacuum tubes containing EDTA for the measurement of plasma lipid and lipoprotein levels. Total cholesterol, high-density lipoprotein cholesterol and triglyceride levels were analysed by colorimetric enzymatic assays with the use of an autoanalyzer (HITACHI-7170, Hitachi, Tokyo, Japan). Low-density lipoprotein cholesterol levels were calculated. Fasting plasma glucose, Hcy and hs-C reactive protein were also determined by colorimetric methods of related metabolic products using the same autoanalyser at the central chemistry laboratory of the Peking University Shougang Hospital.

Statistical analysis

SPSS V.13.0 was used as statistical software in the present study. The differences between groups were analysed by Student t test and one-way analysis of variance. Proportions were analysed by χ2 test. Correlation coefficient was done to find linear relation between different variables using Spearman correlation coefficient. Multiple linear regressions were used to estimate the coefficients of the linear equation, involving independent variables that affected the value of the dependent variables. Values were shown as mean±SD unless stand otherwise and p<0.05 (two-tailed) was considered statistically significant.

Results

Clinical characteristics of the study participants

The clinical characteristics of study participants are shown in table 1. Among these participants, 33 patients had only one of these three vascular-related diseases, 34 patients had two of these three vascular-related diseases, 9 patients had all of these three diseases and 12 participants with none of the vascular-related diseases. Our results showed that with the increasing numbers of suffered vascular-related diseases, the level of Hcy was increasing. Similar results were also found in the parameters of CF-PWV and CAVI. However, we found there was significant difference about age between these four groups.
Table 1

Clinical characteristics in different groups according to the numbers of vascular-related diseases

CharacteristicsGroup 0N=12Group 1N=33Group 2N=34Group 3N=9p Values
Age (years)54.4±9.563.5±13.173.2±10.076.1±10.3<0.01
Sex (male/female)4/820/1316/186/30.283
BMI (kg/m2)22.4±3.323.9±3.923.3±4.425.7±2.60.32
LDL (mmol/l)1.82±0.41.83±0.61.71±0.41.84±0.20.759
HDL (mmol/l)1.90±2.90.95±0.21.01±0.31.00±0.250.078
Hs-CRP (mg/l)4.73±10.88.14±15.310.79±15.317.2±35.80.496
HbA1c (%)5.78±0.35.92±0.55.86±0.35.98±1.70.917
Hcy (μmol/l)11.0±2.819.0±9.116.7±6.421.1±8.50.006
Urinary microalbumin3.66±4.416.69±39.07.50±10.913.90±22.40.522
Heart rate75.5±9.672.4±13.374.7±13.469.4±8.50.621
ABI1.10±0.131.10±0.091.06±0.141.02±0.210.284
SBP (mm Hg)126.0±13.8138.6±19.8145.3±23.1154.3±23.40.012
DBP (mm Hg)79.5±7.281.7±9.582.7±9.786.1±9.90.479
CF-PWV9.17±2.612.33±3.013.03±2.813.85±1.86<0.001
CR-PWV9.34±0.9210.12±1.989.8±2.2110.29±2.960.648
CAVI7.51±0.98.23±2.49.09±2.39.34±2.00.08

The differences between groups were analysed by one-way analysis of variance; proportions were analysed by χ2 test.

Group 0, without diseases of hypertension, CAD, ASO; Group 1, with one of diseases of hypertension, CAD, ASO; Group 2, with two of diseases of hypertension, CAD, ASO; Group 3, with all diseases of hypertension, CAD, ASO.

ABI, ankle-brachial index; ASO, arteriosclerosis obliterans; BMI, body mass index; CAD, coronary artery disease; CAVI, cardioankle vascular index; CF-PWV, carotid-femoral pulse wave velocity; CR-PWV, carotid-radial pulse wave velocity; CRP, C reactive protein; DBP, diastolic blood pressure; Hcy, homocysteine; HDL, high-density lipoprotein; LDL, low-density lipoprotein; SBP, systolic blood pressure.

Clinical characteristics in different groups according to the numbers of vascular-related diseases The differences between groups were analysed by one-way analysis of variance; proportions were analysed by χ2 test. Group 0, without diseases of hypertension, CAD, ASO; Group 1, with one of diseases of hypertension, CAD, ASO; Group 2, with two of diseases of hypertension, CAD, ASO; Group 3, with all diseases of hypertension, CAD, ASO. ABI, ankle-brachial index; ASO, arteriosclerosis obliterans; BMI, body mass index; CAD, coronary artery disease; CAVI, cardioankle vascular index; CF-PWV, carotid-femoral pulse wave velocity; CR-PWV, carotid-radial pulse wave velocity; CRP, C reactive protein; DBP, diastolic blood pressure; Hcy, homocysteine; HDL, high-density lipoprotein; LDL, low-density lipoprotein; SBP, systolic blood pressure. Next, we divided participants into two groups according to the level of Hcy. As shown in table 2, the level of CAVI was significant higher in patients with Hcy ≥15 μmol/l than in group with Hcy <15 μmol/l. The similar result was also found in another evaluation index of arterial stiffness-PWV. However, there was significant difference about age and sex between these two groups.
Table 2

Clinical characteristics in patients with Hcy <15 μmol/and Hcy ≥15 μmol

CharacteristicsHcy <15 μmol/l (n=43)Hcy ≥15 μmol/l (n=45)p Values
Age (years)61.9±13.071.9±11.5<0.01
Sex (male/female)14/2932/13<0.001
BMI (kg/m2)23.9±4.223.3±3.80.48
Hypertension (n (%))26 (60.5)31 (68.9)0.41
CAD (n (%))18 (41.2)25 (55.6)0.2
ASO (n (%))8 (18.6)17 (37.8)0.03
LDL (mmol/l)1.72±0.41.84±0.60.31
HDL (mmol/l)1.19±1.51.04±0.30.53
Hs-CRP (mg/l)7.70±0.1711.34±19.50.36
HbA1c (%)5.80±0.35.96±0.80.34
Hcy (μmol/l)11.89±2.022.19±8.0<0.001
Urinary microalbumin4.35±4.317.58±35.00.057
Heart rate72.0±9.774.9±14.50.28
ABI1.09±0.121.06±0.130.23
SBP (mm Hg)134.1±18.2147.0±23.20.005
DBP (mm Hg)81.2±8.483.1±10.00.36
CF-PWV10.8±2.513.7±3.0<0.001
CR-PWV9.2±1.610.6±2.10.001
CAVI7.79±2.19.30±2.10.001

Results were shown as mean±SD unless stand otherwise.

The difference between groups were analysed by Student's t test. Proportions were analysed by χ2 test.

ABI, ankle-brachial index; ASO, arteriosclerosis obliterans; BMI, body mass index; CAD, coronary artery disease; CAVI, cardioankle vascular index; CF-PWV, carotid-femoral pulse wave velocity; CR-PWV, carotid-radial pulse wave velocity; CRP, C reactive protein; DBP, diastolic blood pressure; HDL, high-density lipoprotein; LDL, low-density lipoprotein; Hcy, homocysteine; SBP, systolic blood pressure.

Clinical characteristics in patients with Hcy <15 μmol/and Hcy ≥15 μmol Results were shown as mean±SD unless stand otherwise. The difference between groups were analysed by Student's t test. Proportions were analysed by χ2 test. ABI, ankle-brachial index; ASO, arteriosclerosis obliterans; BMI, body mass index; CAD, coronary artery disease; CAVI, cardioankle vascular index; CF-PWV, carotid-femoral pulse wave velocity; CR-PWV, carotid-radial pulse wave velocity; CRP, C reactive protein; DBP, diastolic blood pressure; HDL, high-density lipoprotein; LDL, low-density lipoprotein; Hcy, homocysteine; SBP, systolic blood pressure.

Pearson correlations between PWV, CAVI and Hcy

PWV is a golden evaluation of arterial stiffness of vascular diseases. There are some kinds of PWV according to different arteries, such as CF-PWV and CR-PWV. CF-PWV and CR-PWV are both reliable index for arterial stiffness of vascular diseases.2 13 In the present study, patients with ASO had bilateral vascular lesions. And there was no significant difference between right side ankle-brachial index (ABI) and left side ABI in the entire study group (1.08±0.13 vs 1.07±0.15, p=0.612). In addition, there was no significant difference between right side ABI and left side ABI in participants with ASO (1.01±0.18 vs 1.05±0.14, p=0.376). And we chose the right PWV and CAVI for analysis. As shown in figure 1, CF-PWV was positively correlated with Hcy in entire group (r=0.33, p=0.002, figure 1A). There was also significant positive correlation between CR-PWV and Hcy in all patients (r=0.51, p<0.001, figure 1B). In addition, our results showed that there was significant correlation between Hcy and CF-PWV, CR-PWV in the vascular-related disease group (r=0.23, p=0.048; r=0.51, p<0.001, respectively).
Figure 1

Relationship between CF-PWV and Hcy (A), CR-PWV and Hcy (B) in the entire study group. CF-PWV, carotid-femoral pulse wave velocity; CR-PWV, carotid-radial pulse wave velocity; Hcy, homocysteine.

Relationship between CF-PWV and Hcy (A), CR-PWV and Hcy (B) in the entire study group. CF-PWV, carotid-femoral pulse wave velocity; CR-PWV, carotid-radial pulse wave velocity; Hcy, homocysteine. CAVI, a new index of arterial stiffness independent of blood pressure, was recently developed by measuring of PWV and blood pressure. And CAVI was not affected by immediate blood pressure. As shown in figure 2, there was significant positive correlation between CAVI and Hcy in all patients (r=0.42, p<0.0001). Also we found there was significant correlation between Hcy and CAVI in the vascular-related disease group (r=0.392, p=0.001). However, there was no significant correlation between Hcy and CF-PWV, CR-PWV, CAVI in patients without vascular-related diseases in the present study (r=0.14, p=0.661; r=152, p=0.620; r=0.056, p=0.855, respectively).
Figure 2

Relationship between CAVI and Hcy in the entire study group. CAVI, cardioankle vascular index; Hcy, homocysteine.

Relationship between CAVI and Hcy in the entire study group. CAVI, cardioankle vascular index; Hcy, homocysteine. As shown in tables 1 and 2, there was significant difference about age or sex between groups. So next, we investigated the possible relationship between CAVI, PWV and Hcy after adjusting the variable of age or sex. Our results showed that there was still significant correlation between CAVI and Hcy after adjustment for age in the entire study group(r=0.293, p=0.008). Also a positive correlation between PWV and Hcy was found after age adjusted in the entire study group (CF-PWV vs Hcy, r=0.282, p=0.010; CR-PWV vs Hcy, r=0.462, p<0.001; respectively). In addition, there was significant correlation between Hcy and CF-PWV, CR-PWV, CAVI after age and sex adjusted in the entire study group (r=0.26, p=0.022; r=0.38, p=0.001; r=0.27, p=0.014, respectively). There were 12 patients without vascular-related diseases in the entire study group, so in next step, we analysed relationship between PWV, CAVI and Hcy in patients with vascular-related diseases. Our results showed that there was significant correlation between Hcy and CR-PWV, CAVI after adjustment for age in the vascular-related disease group (r=0.48, p<0.001; r=0.321, p=0.007, respectively), without significant correlation between Hcy and CF-PWV (r=0.21, p=0.079). After adjustment for age and sex, significant correlation between Hcy and CR-PWV, CAVI was found in the vascular-related disease group (r=0.40, p=0.001; r=0.298, p=0.013, respectively). However, there was no significant correlation between Hcy and CF-PWV after age and sex adjusted (r=0.193, p=0.115).

Multiple linear regression analysis

Multiple linear regressions were used to estimate the coefficients of the linear equation, involving independent variables that affected the value of CAVI. Our results showed that Hcy, body mass index (BMI) and age were independent influencing factors of CAVI in the entire study group (β=0.421, p=0.001; β=−0.309, p=0.006; β=0.297, p=0.012, respectively). And Hcy, BMI and age were independent influencing factors of CAVI in the vascular-related disease group (β=0.434, p=0.001; β=−0.331, p=0.009; β=0.288, p=0.022, respectively).

Discussion

In the present study, we found that there was positive correlation between Hcy and CAVI in the vascular-related diseases. CAVI and PWV were higher in patients with Hcy ≥15 μmol/l and Hcy was an independent influencing factor of CAVI in the vascular-related diseases. An increase in arterial stiffness is not only a pathological status of hypertension, diabetes and CAD but also a strong predictor for the cardiovascular morbidity and mortality caused by these diseases. With the increasing of arterial stiffness, the incidence of hypertension, coronary heart disease increases. And arterial stiffness can be measured by PWV suggested by European Society of Hypertension/European Society of Cardiology guidelines. A lot of studies have showed the effect of PWV in the evaluation of arterial stiffness of vascular diseases. Aortic PWV was increasing in patients with diabetes mellitus or end-stage renal disease, indicating a higher arterial stiffness compared with healthy persons.15 A research of 710 hypertension patients revealed that aortic PWV is a useful marker and predictor of cardiovascular risk in these participants.16 Recently, in a prospective study of general Danish population, the investigator found that aortic PWV was a useful predictor for cardiovascular outcomes above and beyond traditional cardiovascular risk factors such as 24 h mean blood pressure.17 Recent study showed that CR-PWV was a discriminator of intrinsic wall alterations during evaluation of endothelial function by flow-mediated dilatation and CR-PWV may predict the severity of the CAD.18 13 Our present study showed that CF-PWV and CR-PWV were higher in patients with vascular-related diseases than in participants without vascular-related diseases (12.80±2.9 vs 9.17±2.6, p<0.001; 10.00±2.2 vs 9.34±0.92, p=0.08, respectively). However, PWV itself is essentially dependent on blood pressure, especially immediate blood pressure. CAVI, a new index of arterial stiffness, is derived from stiffness parameter β, which is detected by carotid ultrasonic measurement.14 CAVI is a new evaluation index of arterial stiffness independent of immediate blood pressure. Recent studies have showed the role of CAVI in the prediction of vascular events in the vascular-related diseases such as metabolic syndrome (MS), diabetes, CAD, etc. In MS patients, there was significant positive correlation between CAVI and waist circumference, and CAVI increased significantly with the number of MS components.19 In another MS study, they found that CAVI was significantly decreased after 3-month period weight-reduction therapy through diet and exercise, so the determination of arterial stiffness by CAVI may be useful for evaluating and managing the cardiovascular diseases risks of MS patients.20 In a comparative study, researchers showed that the diagnostic accuracy of CAD was significantly higher in the CAVI than in the brachial ankle PWV, which suggested that CAVI had increased performance over brachial ankle PWV in predicting the CAD.21 22 Namekata showed that the CAVI method was a useful tool to screen persons with moderate to advanced levels of arteriosclerosis. CAD is one of the fatal and disabling diseases, some researchers fond that CAVI was significantly correlated with percentage plaque area in coronary arterial disease.23 A lot of studies have showed that CAVI was a reliable evaluation index of vascular-related diseases. Our present study showed that with the increasing numbers of vascular-related diseases suffering, the level of CAVI was increasing (table 1). CAVI was significantly higher in patients with vascular-related diseases than in control participants (8.73±2.3 vs 7.51±0.9, p=0.002). And we also found significant correlation between PWV and CAVI in the entire group (CAVI and CF-PWV: r=0.382, p<0.001; CAVI and CR-PWV: r=0.225, p=0.039, respectively). Hcy is an independent risk factor of cardiovascular diseases. HHcy has been found in more than one half of patients with hypertension. The possible mechanism of this process includes endothelial cell damage, vascular endothelial dysfunction and enhanced oxidative stress.9 10 Our previous study showed that chronic HHcy contributed to CAD by inhibiting dysfunction of the coronary artery endothelium.11 So Hcy might damage the endothelium through complex mechanisms resulting endothelial dysfunction. Also Hcy could promote the proliferation of smooth muscle cells through inflammation and so on. Endothelial dysfunction and proliferation of smooth muscle cells of arterial medium could lead to the increasing of arterial stiffness. Previous study had showed positive correlation between Hcy and CAVI in general population.12 However, there was little research about the relationship between Hcy and CAVI in patients with one more kind of vascular-related diseases. In the present study, we found that CAVI was positively correlated with Hcy even after adjustment of other parameters, such as age and sex. The similar result was also found between PWV and Hcy. Hcy increases not only in hypertension patients but also in other vascular diseases. Hcy participates in the pathophysiological process of these diseases. HHcy was defined as the level of Hcy ≥15 μmol/l. Next, we compared the arterial stiffness between HHcy group and patients with Hcy <15 μmol/l. As shown in table 2, the levels of PWV and CAVI were significantly higher in group with Hcy ≥15 μmol/l than in group with Hcy <15 μmol/l. Finally, our research showed that Hcy was an independent influencing factor of CAVI in the vascular-related diseases. Folate administration has been consistently shown to reduce plasma Hcy even in healthy individuals without elevated Hcy levels.24 Lange et al25 found that folic acid treatment could reduce frequency of restenosis after angioplasty in patients with markedly elevated Hcy levels. Another study showed that low-dose folic acid treatment improves vascular function in CAD patients.26 Our study suggested that CAVI was higher in HHcy patients, so treatment should be made to lower Hcy in HHcy patients in order to reduce arterial stiffness. And thorough clinical research should be investigated in future. However, there were some limitations in the study: the small sample size, cases and controls were not perfectly matched. Also some patients with hypertension and (or) CAD had oral medication such as amlodipine before coming to the hospital, this might affect our results to a certain extent. So a thorough research should be investigated in future. However, our study suggested that CAVI was a useful evaluation index for arterial stiffness, and there was positively correlation between CAVI and Hcy. In conclusion, our study showed that CAVI and Hcy are closely associated among vascular-related diseases. More studies should be made to investigate the role of Hcy in the development of arterial stiffness.
  24 in total

1.  Carotid-radial pulse wave velocity as a discriminator of intrinsic wall alterations during evaluation of endothelial function by flow-mediated dilatation.

Authors:  J Torrado; D Bia; Y Zócalo; I Farro; F Farro; M Valero; R L Armentano
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2011

2.  Effects of metabolic syndrome on cardio-ankle vascular index in middle-aged and elderly Chinese.

Authors:  Hongjian Liu; Xiumin Zhang; Xiaoli Feng; Jinghua Li; Ming Hu; Tomoyuki Yambe
Journal:  Metab Syndr Relat Disord       Date:  2010-11-22       Impact factor: 1.894

3.  Prognostic value of aortic pulse wave velocity as index of arterial stiffness in the general population.

Authors:  Tine Willum-Hansen; Jan A Staessen; Christian Torp-Pedersen; Susanne Rasmussen; Lutgarde Thijs; Hans Ibsen; Jørgen Jeppesen
Journal:  Circulation       Date:  2006-02-07       Impact factor: 29.690

4.  A novel blood pressure-independent arterial wall stiffness parameter; cardio-ankle vascular index (CAVI).

Authors:  Kohji Shirai; Junji Utino; Kuniaki Otsuka; Masanobu Takata
Journal:  J Atheroscler Thromb       Date:  2006-04       Impact factor: 4.928

5.  Cardio-ankle vascular index could reflect plaque burden in the coronary artery.

Authors:  Shigeo Horinaka; Akihisa Yabe; Hiroshi Yagi; Kimihiko Ishimura; Hitoshi Hara; Tomomi Iemura; Toshihiko Ishimitsu
Journal:  Angiology       Date:  2011-03-18       Impact factor: 3.619

6.  Homocysteine impairs coronary artery endothelial function by inhibiting tetrahydrobiopterin in patients with hyperhomocysteinemia.

Authors:  Liyun He; Hui Zeng; Fuwang Li; Jieli Feng; Shan Liu; Jinbo Liu; Jie Yu; Jieming Mao; Tianpei Hong; Alex F Chen; Xian Wang; Guang Wang
Journal:  Am J Physiol Endocrinol Metab       Date:  2010-09-21       Impact factor: 4.310

7.  Effects of homocysteine on the levels of caveolin-1 and eNOS in caveolae of human coronary artery endothelial cells.

Authors:  Constanze Meye; Joerg Schumann; Andrea Wagner; Peter Gross
Journal:  Atherosclerosis       Date:  2006-04-17       Impact factor: 5.162

8.  Diabetes mellitus and renal failure: effects on large artery stiffness.

Authors:  S Aoun; J Blacher; M E Safar; J J Mourad
Journal:  J Hum Hypertens       Date:  2001-10       Impact factor: 3.012

9.  Cardio-ankle vascular index is a new noninvasive parameter of arterial stiffness.

Authors:  Akira Takaki; Hiroshi Ogawa; Takatoshi Wakeyama; Takahiro Iwami; Masayasu Kimura; Yasuyuki Hadano; Susumu Matsuda; Yousuke Miyazaki; Tomoko Matsuda; Atsushi Hiratsuka; Masunori Matsuzaki
Journal:  Circ J       Date:  2007-11       Impact factor: 2.993

10.  Evaluation of the cardio-ankle vascular index, a new indicator of arterial stiffness independent of blood pressure, in obesity and metabolic syndrome.

Authors:  Noriko Satoh; Akira Shimatsu; Yasuhisa Kato; Rika Araki; Kazunori Koyama; Taiichiro Okajima; Makito Tanabe; Mariko Ooishi; Kazuhiko Kotani; Yoshihiro Ogawa
Journal:  Hypertens Res       Date:  2008-10       Impact factor: 3.872

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  8 in total

1.  Cardio-ankle vascular index: a new marker for vascular health evaluation (experience from China).

Authors:  H Wang
Journal:  J Hum Hypertens       Date:  2014-07-31       Impact factor: 3.012

2.  Relationship between cardio-ankle vascular index and plasma lipids in hypertension subjects.

Authors:  H Wang; J Liu; H Zhao; X Zhao; L Li; H Shi; S Zhan; J Liu
Journal:  J Hum Hypertens       Date:  2014-05-15       Impact factor: 3.012

Review 3.  Emerging options for the treatment of type 2 diabetes in Chinese patients: focus on arterial function and alogliptin.

Authors:  Hongyu Wang; Jinbo Liu; Hongwei Zhao
Journal:  Drug Des Devel Ther       Date:  2015-01-30       Impact factor: 4.162

Review 4.  Early Detection System of Vascular Disease and Its Application Prospect.

Authors:  Huan Liu; Hongyu Wang
Journal:  Biomed Res Int       Date:  2016-11-30       Impact factor: 3.411

5.  Hypertension-Mediated Organ Damage Correlates With Serum Homocysteine Level in Community-Dwelling Elderly Chinese: The North Shanghai Study.

Authors:  Zhongyuan Ren; Jun Zhang; Shikai Yu; Song Zhao; Jiamin Tang; Yixing Zheng; Weilun Meng; Chong Xu; Yi Zhang; Yawei Xu
Journal:  Front Cardiovasc Med       Date:  2021-05-10

6.  Plasma Lipoprotein-Associated Phospholipase A₂ Levels Correlated with the Cardio-Ankle Vascular Index in Long-Term Type 2 Diabetes Mellitus Patients.

Authors:  Kazuhiko Kotani
Journal:  Int J Mol Sci       Date:  2016-04-27       Impact factor: 5.923

7.  The design and rationale of the Beijing Vascular Disease Patients Evaluation Study (BEST study).

Authors:  Huan Liu; Jinbo Liu; Hongwei Zhao; Lihong Li; Guangyun Shang; Yingyan Zhou; Hongyu Wang
Journal:  Contemp Clin Trials Commun       Date:  2017-05-10

8.  Serum homocysteine and folate concentrations in early pregnancy and subsequent events of adverse pregnancy outcome: the Sichuan Homocysteine study.

Authors:  Chenggui Liu; Dan Luo; Qin Wang; Yan Ma; Longyu Ping; Ting Wu; Jian Tang; Duanliang Peng
Journal:  BMC Pregnancy Childbirth       Date:  2020-03-18       Impact factor: 3.007

  8 in total

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