Abstract
Arteriosclerosis is a major contributor to cardiovascular diseases. One of the difficulties in controlling those diseases is the lack of a suitable indicator of arteriosclerosis or arterial injury in routine clinical practice. Arterial stiffness was supposed to be one of the monitoring indexes of arteriosclerosis. Cardio-ankle vascular index (CAVI) is reflecting the stiffness of the arterial tree from the origin of the aorta to the ankle, and one of the features of CAVI is independency from blood pressure at a measuring time. When doxazosin, an α1-adrenergic blocker, was administered, CAVI decreased, indicating that arterial stiffness is composed of both organic stiffness and functional stiffness, which reflects the contraction of arterial smooth muscle. CAVI shows a high value with aging and in many arteriosclerotic diseases, and is also high in persons possessing main coronary risk factors such as diabetes mellitus, metabolic syndrome, hypertension and smoking. Furthermore, when the most of those risk factors were controlled by proper methods, CAVI improved. Furthermore, the co-relationship between CAVI and heart function was demonstrated during treatment of heart failure. This paper reviews the principle and rationale of CAVI, and discusses the meaning of monitoring CAVI in following up so-called lifestyle-related diseases and cardiac dysfunction in routine clinical practice.
Introduction
Arteriosclerosis is a major contributor to cardiovascular diseases, which account for a considerable part of mortality and morbidity [1,2]. It is almost established that hypertension, diabetes mellitus, smoking and dyslipidemia play a major role in the initiation and development of arteriosclerosis. One of the difficulties in controlling those risk factors is the lack of a suitable indicator of arteriosclerosis or arterial injury in addition to laboratory data values in routine clinical practice. Arterial stiffness was supposed to be one candidate of the monitoring index of arteriosclerosis [3,4,5], and several methods have been designed to assess arterial stiffness, including pulse wave velocity (PWV) [3,4]. As for PWV, there have been many methods such as carotid-femoral PWV [6], heart-to-femoral PWV [7] and brachial-ankle PWV (baPWV) [8,9]. Monitoring arterial stiffness as a surrogate marker of arteriosclerosis was nearly established using various kinds of PWV [6,10]. However, PWV essentially depends on blood pressure at the time of measurement [11]. Then, the stiffness of the artery is not accurately evaluated in individuals whose blood pressure was changed by drug therapy or lifestyle changes. To overcome this problem, cardio-ankle vascular index (CAVI) was developed [12]. CAVI reflects the stiffness of the arterial tree from the origin of the aorta to the ankle. CAVI is essentially derived from the stiffness parameter β, which was developed by Hayashi et al. [13] and Kawasaki et al. [14]. To apply the stiffness parameter β to some length of artery, the equation of Bramwell-Hill in which the arterial volume change is related to PWV of the artery, was utilized [15]. Therefore, CAVI is independent of blood pressure at a measuring time and could reflect the proper stiffness of the arterial tree [12,16]. When doxazosin, an α1-adrenergic blocker which relaxes arterial smooth muscle, was administered, CAVI decreased [16]. This result indicated that arterial stiffness is composed of both organic stiffness and functional stiffness. Organic stiffness might be mainly composed of collagens, elastin and hyaluronic acid. Functional stiffness might reflect the contraction of arterial smooth muscle.
CAVI shows a high value with aging [17] and in many arteriosclerotic diseases [18,19,20], and is also high in persons possessing main coronary risk factors such as diabetes mellitus [21], metabolic syndrome [22], hypertension [23] and smoking [24]. Furthermore, when those risk factors were controlled by proper methods, CAVI improved [25,26,27]. Thus, monitoring CAVI might be useful for controlling lifestyle-related diseases in routine clinical practice. Furthermore, the co-relationship between CAVI and cardiac function has been demonstrated [28,29].
This paper reviews the principle and rationale of CAVI, referring to the recently published data, and discusses the meaning of monitoring CAVI in following up so-called lifestyle-related disease and cardiac dysfunction in routine clinical practice.
The Principle of CAVI
CAVI reflects the stiffness of the whole arterial segment comprising the aorta, femoral artery and tibial artery (fig. 1). This index was originally derived from the stiffness parameter β proposed by Hayashi et al. [13] and was expanded to some length of the artery with the application of the modified Bramwell-Hill equation [15]:
CAVI = a[(2ρ/ΔP) × ln(Ps/Pd) × PWV2] + b,
where Ps is systolic blood pressure, Pd is diastolic blood pressure, PWV is from the origin of the aorta to the tibial artery at the ankle through the femoral artery, ΔP is Ps - Pd, ρ is blood density and a and b are constants.
Thus, CAVI originates from stiffness parameter β = ln(Ps/Pd) × (D/ΔD). D/ΔD is calculated from PWV of some length of the artery, and ΔP in place of diameter change (D/ΔD).
As for the application of blood pressure of the upper brachial artery in the calculation of the CAVI equation, there is an assumption that blood pressure at the upper brachial artery is nearly the mean of the blood pressure from the origin of the aorta to the tibial artery at the ankle. This is one of the limitations of CAVI. Therefore, in cases where the blood pressures at the aorta and the femoral artery were remarkably changed, such as in the case of femoral arterial arteriosclerosis obliterans (ABI <0.9), the CAVI value is invalid. Also, it is wrong to measure CAVI in the standing position. In this case, blood pressure at the ankle and brachial artery is quite different.
Independence of CAVI from blood pressure has been supported not only theoretically but also experimentally. Experimental evidence is demonstrated in figure 2a [16]. When the selective β1-blocker metoprolol, which decreases blood pressure by decreasing heart muscle contractility and cardiac output, but not by affecting vascular wall contractility, was administered to men, systolic and diastolic blood pressure decreased for 6 h. During this time, CAVI did not change and baPWV decreased. This phenomenon could be explained as follows: CAVI does not change because metoprolol does not affect the contracture of arterial wall smooth muscle cells, whereas baPWV decreases because PWV has the property to decrease according to a decrease in blood pressure [11]. This study indicated that CAVI was not influenced by blood pressure at the time of measurement. Therefore, CAVI can be used to measure the proper stiffness of the arterial wall ignoring the blood pressure change at a measuring time.
When the selective α1-blocker doxazosin, which decreases blood pressure by relaxing vascular smooth muscle tone, was administered to men, systolic and diastolic blood pressure decreased for 6 h. During this time, CAVI decreased (fig. 2b). This result indicated that CAVI was reflecting smooth muscle tone.
These results support the idea that CAVI reflects not only the organic stiffness of the arterial wall, but also the functional stiffness comprising the contracture of arterial smooth muscle cells controlled by vasoactive compounds such as catecholamine.
CAVI as a Surrogate Marker of Arteriosclerotic Diseases
Aging
CAVI of healthy people without cardiovascular risk factors increases with aging from 20 to 70 years, as shown in figure 3[17]. CAVI of men is higher than that of women at all ages by a factor of nearly 0.2.
Choi et al. [30] reported that CAVI is a sensitive marker of the arterial aging process, above and beyond conventional arm blood pressure in Korean people (CAVI = 5.0 + 0.048 × age in men, 4.8 + 0.045 × age in women).
Coronary Artery Disease
As for coronary artery disease (CAD), CAVI increases as the number of coronary vessels with stenosis (>75%) increases, as shown in figure 4[19]. The cutoff point of CAVI for the presence of coronary stenosis was 8.91 among the patients with a suspicion of ischemic CAD. Izuhara et al. [20] also reported the multiple logistic analysis revealing that CAVI, but not baPWV, was associated with the presence of carotid and coronary arteriosclerosis. Several researchers reported that CAVI was high in patients with CAD [31,32,33]. Yingchoncharoen et al. [34] reported that the traditional risk score (RAMA-EGAT) has been shown to be an accurate scoring system for predicting CAD. Furthermore, they reported that the addition of CAVI to the RAMA-EGAT score significantly improves the diagnostic yield of CAD. Park et al. [35] also reported that the addition of CAVI >8 to traditional risk factors improved the predictive value for coronary stenosis. Park et al. [36] reported that CAVI was related to coronary artery calcification or stenosis in asymptomatic subjects in Korea.
Carotid Arteriosclerosis
As for intima-media thickness (IMT) of the carotid artery, several researchers showed a strong correlation between CAVI and IMT, but plaque score showed a much more stronger correlation with CAVI [37,38]. Hu et al. [39] reported that CAVI = 8.0 may be an optimal cutoff point for carotid arteriosclerosis prediction, and the older Chinese population with higher CAVI scores also had a higher risk of carotid arteriosclerosis.
Chronic Kidney Disease
Cerebral Infarction
Suzuki et al. [43] reported that CAVI was related to cerebrovascular accidents. Choi et al. [44] found that arterial stiffness assessed using CAVI reflects cerebral small vessel disease in healthy young and middle-aged subjects.
The above results indicated that most of the arteriosclerotic diseases showed high CAVI values. It is suggested that CAVI is a good indicator of systemic arteriosclerosis.
CAVI of Coronary Risk Factors and Their Control
Diabetes Mellitus
CAVI is reported to be high in patients with diabetes mellitus [21]. Kim et al. [45] reported that diabetic peripheral neuropathy was associated with increased CAVI without changes in carotid IMT in type 2 diabetes. Kim et al. [46] found that increased CAVI in T2DM patients is associated with the presence of arterial plaque, increased IMT and microvascular complication, such as nephropathy and neuropathy.
Glimepiride decreased CAVI accompanied with improved glucose level [26]. Insulin therapy also decreased CAVI accompanied with lowered blood glucose level [47]. These relatively short-term changes of CAVI by glucose control suggested that a high blood glucose level itself might increase the functional arterial stiffness by glucose toxication. However, the precise mechanism needs further study.
Dyslipidemia
CAVI may not be as closely related to hypercholesterolemia as to diabetes mellitus. Soska et al. [48] reported that CAVI was not necessarily high in heterozygous familial hypercholesterolemic patients. However, some reports showed that CAVI is related to LDL cholesterol level and also to the cholesterol/HDL cholesterol ratio [49]. Initial lipidosis induced by infiltration of LDL might soften the arterial wall. CAVI might increase following the occurrence of a complicated lesion. Cholesterol-lowering agents such as pitavastatin [50], ezetimibe [51] and the triglyceride-lowering agent eicosapentaenoic acid [52] have been reported to decrease CAVI.
Hypertension
Many papers reported that CAVI showed a high value in persons with hypertension [53,54,55]. Several papers showed the effect of antihypertensive agents on CAVI. The decreasing rates of blood pressure by those agents are not necessarily correlated with the improvement rate of CAVI.
Calcium Channel Blockers
There are several types of calcium channel blockers (CCBs), such as L-channel blocker, T-channel blocker, and N-channel blocker. Amlodipine is known to be an L-channel blocker. Kurata et al. [56] reported that amlodipine decreased CAVI (n = 10, 24 weeks of treatment). Miyashita et al. [25] reported that the decrease by amlodipine was small and not significant.
Sasaki et al. [57] compared the effects of efonidipine (T-channel blocker) and of amlodipine (L-channel blocker). The blood pressures were reduced by almost the same values (fig. 6). CAVI was significantly reduced by efonidipine but not by amlodipine. So, it is suggested that various types of Ca channel blockers had their own effects on arterial wall stiffness.
Angiotensin II Receptor Antagonists
As for angiotensin II receptor antagonists, there have been several reports. Olmesartan [26] and telmisartan [58] have been reported to decrease CAVI. In a comparison study between candesartan, telmisartan and losartan, Uehara and Takeda [59] noted that candesartan was best at reducing CAVI. Bukuda et al. [60] studied the effect of candesartan as compared with CCBs. They showed that blood pressure decreased significantly in both groups, and the rates were not different in both groups, but candesartan significantly reduced CAVI but not CCBs. Angiotensin II receptor antagonists might be better for improving CAVI, but further studies are required.
Thiazide
Diuretics are known to decrease blood pressure, but may exacerbate insulin resistance. The real effects of diuretics on arterial wall stiffness have not been studied. However, the combination of olmesartan and azelnidipine has advantages over the combination of olmesartan and thiazide with respect to CAVI in patients with moderate hypertension [61]. This might suggest that azelnidipine improved CAVI, but thiazide did not change CAVI. A tablet combining losartan and hydrochlorothiazide has been found to decrease CAVI [62].
Metabolic Syndrome and Obesity
Smoking
CAVI has been shown to be high in smokers and to decrease with smoking cessation [24]. Measuring CAVI might promote the motivation to stop smoking.
Sleep Apnea Syndrome
CAVI has been reported to be elevated in the patients with sleep apnea syndrome (SAS) [65] and decreased by continuous positive airway pressure treatment [66]. These results obtained by CAVI suggested strongly that SAS worked as a stress factor for the arterial wall, and that SAS might promote systemic arteriosclerosis.
Uric Acid
Uric acid as a risk factor for arteriosclerosis is controversial because uric acid is known to have both antioxidant [67] and pro-oxidative action in the process of production [68]. Nagayama et al. [69] have recently reported that CAVI increased progressively with increasing serum uric acid tertile after adjusting for age, BMI and systolic blood pressure in multiple regression analysis. Li et al. [70] also documented that uric acid increased arterial stiffness measured by CAVI.
Inflammatory Arterial Disease: Systemic Lupus Erythematosus
Saito et al. [71] reported that CAVI was higher in both premenopausal and postmenopausal systemic lupus erythematosus patients.
Mental Stress
Shimizu et al. [72] reported that people who experienced a huge earthquake had hardened arterial stiffness, indicating that mental stress also increases CAVI (fig. 7).
The above-mentioned results are listed in figure 8. CAVI was increased by various arteriosclerotic diseases and also by most of the risk factors. Furthermore, CAVI improved with most of the adequate treatments for those risk factors.
CAVI as a Predictor of Cardiovascular Events
There are a few reports dealing with the relationship between prognosis and CAVI. Kubota et al. [73] reported that the group with a CAVI >10 showed a high incidence of heart diseases and cerebrovascular accidents in 3 years. CAVI was found to be associated with future renal dysfunction, thus suggesting that a CAVI >10 may be a risk factor for chronic kidney disease in Japanese patients [74]. Kato et al. [75] reported that baPWV is superior to CAVI as a predictor of cardiovascular outcomes in patients on chronic hemodialysis. These results need to be detailed in a further study. Otsuka et al. [76] reported that persistently impaired CAVI was an independent predictor of future cardiovascular disease events.
CAVI as an Indicator of Vascular Function
Blood stasis syndrome is defined as retardation or cessation of the blood flow and is regarded as the cause or product of many chronic diseases in traditional Asian medicine. Cho et al. [77] reported that CAVI combined with age can clinically serve as an objective tool to diagnose blood stasis syndrome in stroke patients. Shiba et al. [78] reported that the optic nerve head circulation was significantly correlated with CAVI. This suggests that microcirculation is determined by arterial stiffness.
Takaki et al. [79] investigated the heart function in angina pectoris patients, in particular the relationship between left ventricular diastolic function and CAVI. They studied CAVI and the peak velocities of early and late mitral inflow (E and A, respectively) and obtained results showing that the E/A ratio negatively correlated with CAVI and that the deceleration time of the E wave positively correlated with CAVI (fig. 9).
Zhang et al. [28] measured CAVI during the therapy of congestive heart failure patients. CAVI decreased during the therapy, and the improvement of heart functions such as the ejection fraction strongly correlated with CAVI (table 1). Schillaci et al. [29] evaluated the relationship between CAVI and left ventricular structure and systolic function in hypertensive patients, and reported that CAVI may have a relation to left ventricular structure and function that is independent of blood pressure levels.
These results suggest that there is a relationship between left ventricular function and vascular function by which blood from the heart is smoothly and efficiently transported to peripheral organs. CAVI might be a useful indicator of this vascular function. It could also be mentioned that vascular function as measured with CAVI is related to peripheral circulation.
Conclusion
CAVI reflects the degree of arteriosclerosis (organic stiffness) and also the contracture of smooth muscle cells (functional stiffness) (fig. 10). CAVI is recommended to be measured in patients with lifestyle-related diseases every 3-4 months in routine clinical practice for evaluation of adequate risk factor control. Furthermore, CAVI reflects vascular function in relating to left ventricular function. This might contribute to a new field of vascular function.
Acknowledgements
We are very grateful to the doctors in the Department of Internal Medicine and the staff of Functional Physiological Division in Sakura Hospital, Toho University, for their cooperation in conducting research on CAVI. We are also grateful to the staff of Mihama Hospital for measuring CAVI over many years.
Disclosure Statement
The authors declare no conflict of interest.