Five years of cardio-ankle vascular index (CAVI) and CAVI0: how close are we to a pressure-independent index of arterial stiffness? : Journal of Hypertension

Journal Logo


Five years of cardio-ankle vascular index (CAVI) and CAVI0: how close are we to a pressure-independent index of arterial stiffness?

Giudici, Alessandroa,b; Khir, Ashraf W.a; Reesink, Koen D.b; Delhaas, Tammob; Spronck, Bartb,c

Author Information
Journal of Hypertension 39(11):p 2128-2138, November 2021. | DOI: 10.1097/HJH.0000000000002928



Arterial stiffness measures based on pulse wave velocity (PWV) have become established predictors for cardiovascular disease and mortality [1,2]. However, the highly nonlinear mechanical behaviour of the arterial wall makes arterial stiffness and related metrics intrinsically dependent on blood pressure (BP) [3–8]. This aspect of arterial wall mechanics complicates the use of PWV in clinical practice, as inter-individual or inter-clinical-group arterial stiffness differences may be caused by either actual differences in arterial structure and mechanics, differences in BP level at the time of measurement, or, most likely, a combination of the two. Most clinical studies address this issue by using statistical methods and including BP as confounding factor [9–11]. Although this approach has proven effective in population studies, it is not patient-specific and, therefore, is not applicable in daily clinical practice. Furthermore and more fundamentally, statistical blood pressure correction of PWV may lead to overcorrection and may, for example, conceal intrinsic hypertensive remodeling [12].

Researchers have devised different methods for person-specific pressure-normalization of PWV [4,13,14] that would allow converting the measured PWV to that at a reference pressure (Pref), thus discerning between actual stiffness differences among people and those induced by pressure. Hayashi et al.[5] introduced an approach based on the observation that, in the physiological range of pressure, the pressure—diameter (P--D) relationship of arteries strongly resembles an exponential function and proposed the following exponential tube law (1)PD=Prefeβ0DDref 1 , where P is the arterial pressure, D is the luminal diameter, Pref is a reference pressure, Dref is the corresponding reference diameter (from Eq. 1, P(Dref) = Pref), and β0 is an exponential gain. An interesting feature of Eq. 1 is that the same P-D relationship can be obtained by different combinations of Pref (and consequently Dref) and β0 (Fig. 1), so that β0 is intrinsically dependent on the choice of Pref. However, when Pref is fixed to a constant value and Eq. 1 is used to fit the P-D relationships of different individuals, β0 becomes a pressure-normalized index of arterial stiffness. ‘Pressure-normalized’ here means that, while β0 is still pressure-dependent (i.e. dependent on the choice of Pref), using a fixed Pref guarantees that inter-individual differences in β0 are unaffected by inter-individual differences in BP at the time of measurement. Notably, β0 is not a PWV measure -- β0 defines arterial stiffening with increasing pressure.

Examples of identical exponential pressure--diameter relationships (Eq. 1) calculated using different combinations of the reference pressure P ref (and corresponding reference diameter D ref) and stiffness parameter β 0.

The exponential tube law introduced by Hayashi paved the way for the development of methods allowing for the patient-specific pressure-normalization of PWV. In 2006, Shirai et al.[15] introduced cardio-ankle vascular index (CAVI), followed in 2017 by the introduction of CAVI0 by our group [16]. Both CAVI and CAVI0 aim to provide a pressure-independent arterial stiffness index, similar to Hayashi's β0; however, now representing the entire heart-to-ankle arterial bed. Researchers have used both CAVI and CAVI0 to investigate arterial stiffness independently of BP, and the advantages of one technique over the other are still subject of debate. This review aims to address this debate by analysing the current scientific evidence in support of the two metrics. It will first provide an overview of the theoretical background, then summarize all the studies where both CAVI and CAVI0 were used to normalize PWV, and finally discuss their findings in light of the unresolved questions concerning the two metrics.

Cardio-ankle vascular index

Following the work of Hayashi et al.[5] and with the intent of establishing a pressure-independent PWV metric, in 2006, Shirai et al.[15] introduced CAVI. With reference to Eq. 1, Shirai and colleagues set Pref to the individual-specific DBP (Eq. 2), as previously proposed by Kawasaki et al.[17]: (2)PD=DBPeβDDd1, where Dd is the arterial diastolic diameter and β is the value of β0 when Pref is set to the individual-specific DBP. The Bramwell--Hill equation (Eq. 3) [18] is an established equation linking arterial distensibility to local PWV: (3)PWV=AdPρdA=DdP2ρdD , which is approximated as (4)PWVDsSBPDBP2ρDsDd , where Ds is the arterial systolic diameter, and ρ is the blood mass density. Combining Eqs. 2 and 4, leads to a quadratic relationship between β and PWV: (5)βlnSBPDBP PWV22ρSBPDBP=CAVIuns , where CAVIuns is the unscaled CAVI. Later, Shirai [19] provided an analytical demonstration that Eq. 5 can be approximately simplified to(6)CAVIunsPWV22ρPm ,where Pm, the mid pressure, is the arithmetic mean of SBP and DBP [Pm = (SBP + DBP)/2)]. Pm should not be confused with the mean BP (MBP or MAP, mean arterial pressure) which is the average pressure over a cardiac cycle.

Shirai et al. replaced the local PWV in Eq. 5 with the heart-to-ankle PWV (haPWV), that is, a regional PWV calculated over the arterial pathway connecting the aortic valve and the end of the anterior tibial artery (ankle), hence, extending the application of the local exponential P-D modelling approach to large regions of the arterial tree. The methodology employed for the measurement of haPWV by the commercial VaSera device (VS 1500, Fukuda Denshi Co., Japan) is represented in Fig. 2. Briefly, haPWV is calculated as L/(tb + tba), where L is the heart-to-ankle arterial pathway length and the sum of tb and tba constitutes the heart-to-ankle transit time (Fig. 2). tb is the time difference between the second heart sound (i.e. closure of the aortic valve) and the dicrotic notch of the brachial pressure waveform, and tba is the time difference between the feet of the brachial and ankle pressure waveforms. It is worth considering that tb and tba take as reference two different points within the cardiac cycle: the dicrotic notch and the foot of the wave, respectively. The VaSera device allows for the estimation of the right haPWV (R-haPWV) using the pressure waveforms of the right arm and right ankle as well as of the left haPWV (L-haPWV) where the right ankle is substituted by the left one (i.e. still the right brachial pressure is used) [20,21]. CAVI is finally calculated by transforming CAVIuns using:(7)CAVI=aCAVIuns+b .

Schematic representation of the algorithm used in the calculation of the heart-to-ankle pulse wave velocity, which is the basis of both cardio-ankle vascular index and CAVI0. The heart-to-ankle transit time is determined as the sum of the transit time between the second heart sound, corresponding to the closure of the aortic valve, and the dicrotic notch in the brachial artery pressure (P) waveform (tb), and the time difference between the feet of the brachial and ankle pressure waveforms (tba). CAVI0, modified cardio-ankle vascular index. L denotes the length of the heart-to-ankle arterial trajectory.

It is worth noting that a and b are not the same for all values of CAVIuns. Eq. 7 is, in fact, a three-piecewise linear function, where a and b are 0.85 and 0.695 when CAVIuns < 7.34875, 0.658 and 2.103 when 7.34875 ≤ CAVIuns < 10.30372, and 0.432 and 4.441 when CAVIuns ≥ 10.30372, respectively [21,22]. This transformation is performed to ensure that the age trend of CAVI quantitatively resembles that of the Hasegawa PWV [23], a commonly used PWV metric in Japan at the time of the development of CAVI [21]. Following the body side-specific haPWV, right (R-CAVI) and left CAVI (L-CAVI) are obtained when R-haPWV and L-haPWV, respectively, are substituted for PWV in Eq. 5.

Modified cardio-ankle vascular index

Although CAVI has been considered for more than 15 years as a pressure-independent index of arterial stiffness, in 2017, we published a work [16] that analytically suggested a residual pressure dependency of CAVI. Our demonstration is based on two observations.

First, as mentioned above, Shirai's derivation of CAVI is based on the simplified exponential function proposed by Kawasaki (Eq. 2). Therefore, contrarily to β0 (Eq. 1), β is not pressure-normalized and depends on the individual specific DBP [24]. It can be shown that β and β0 are linked by the following relationship:(8)β0=βlnDBPPref .Figure 3 shows the magnitude of the difference between the pressure-dependent β and the pressure-normalized β0 as a function of the ratio DBP/Pref, providing an example of how this difference can affect the inter-individual comparison between clinical groups with inherent differences in DBP.

Graphical representation of the magnitude of the logarithmic term that differentiates between stiffness index β and β 0 as a function of the ratio between DBP and reference pressure (P ref). Note that this β 0β difference represents one of the two differences between cardio-ankle vascular index (CAVI) and modified cardio-ankle vascular index (CAVI0) (the other difference being the use of an approximated vs. infinitesimal derivative of the pressure--diameter relationship). Arrows indicate examples, taken from data in [39], of how omitting the logarithmic term can affect the comparison between clinical groups.

Second, the derivation of the CAVI formula uses a simplified version of the Bramwell--Hill equation (Eq. 4) where a linear approximation over the DBP-to-SBP range (see Eqs. 3 and 4 and Appendix 1, is used as an estimate of the infinitesimal dP/dD. Similarly, the approximation introduced in Eq. 6 is accurate only over infinitesimally small pressure intervals, hence using Pm as the arithmetic mean of SBP and DBP will inevitably introduce inaccuracies in the estimation of β.

To overcome the limitations and correct the residual pressure dependency of CAVI, we proposed CAVI0[16], based on β0 and on the calculation of the exact derivative dP/dD at diastolic pressure:(9)CAVI0=2ρ PWV2DBPlnDBPPref .Note that, if the chosen PWV is purely diastolic (e.g. foot-to-foot PWVs), the first term in Eq. 9 equals β, so that CAVI0 = β0 (Eq. 8). In our previous publications [16,20], we proposed setting Pref to 100 mmHg. Although Pref does not represent a physiological pressure, fixing Pref to a pressure in the physiological range may be advantageous. Choosing Pref within the physiological range ensures that, on average, patient-specific corrections from β to β0 are minimized. Furthermore, several studies reporting CAVI0[25–29] adopted the same choice, thus ensuring direct comparability of CAVI0 values between studies. As mentioned in the Background section, choosing a fixed Pref makes β0 and, consequently, CAVI0 pressure-normalized indices of arterial stiffness but these are still pressure (Pref)-dependent. Therefore, results from studies using different Pref should not be directly compared (i.e. a conversion using Eq. 8 is needed). It can be shown that CAVI0 relates to CAVI as follows:(10)CAVI0=CAVIba SBPDBP1lnSBPDBPlnDBPPref .We created a conversion tool/calculator to simplifiy this conversion while taking into account the different values of a and b as a function of CAVI [22].


The only inclusion criterium of our literature review was that the study had to report both CAVI and CAVI0 in either the manuscript main text or the data supplement. Our literature search proceeded in two steps: first, given the relatively recent introduction of CAVI0, we reviewed all studies citing the original CAVI0 publications [14,16,20]. This first search led to 14 papers (Table 1). Then, we conducted a second literature search on PubMed, using ‘CAVI’ and ‘stiffness’ as search words and excluding all studies published before 2017 – the year CAVI0 was introduced. This second search produced 215 results, which, after application of our inclusion criteria, reduced to the same 14 studies achieved via the first search (Table 1).

TABLE 1 - Summary of all the studies that reported both cardio-ankle vascular index and modified cardio-ankle vascular index
Literature on the comparison between CAVI and CAVI0
First author [reference] Type of study Sample size
Spronck [16] Computational N/A (161 in silico) Provided the analytical basis behind the pressure-dependency of CAVI.Demonstrated computationally the residual pressure-dependency of both β (from DBP alone) and CAVI (from both SBP and DBP).Showed computationally that the size of the error produced in CAVI by its pressure dependency is comparable to its intra-individual variability.Showed computationally that CAVI0 is pressure-independent (also see Spronck 2018) [51].
Shirai [30] Clinical longitudinal 9 Both CAVI and CAVI0 did not change significantly after administration of BP lowering metoprolol.
Mestanik [25] Clinical cross-sectional 140 Studied differences in CAVI and CAVI0 between normal-weight normotensive (n = 40), overweight normotensive (n = 30), overweight white-coat hypertensive (n = 30), and overweight essential hypertensive (n = 40) boys.CAVI, but not CAVI0, was significantly higher in overweight white-coat hypertensive than in overweight normotensives.CAVI, but not CAVI0, showed significant correlation with DBP and PP.
Mills [42,43] Clinical longitudinal 126 Spironolactone and doxazosin reduced SBP similarly. Changes in CAVI and CAVI0 did not differ between spironolactone and doxazosin treatment groups.Beetroot juice containing nitrate reduced SBP similar to beetroot juice without nitrate. Changes in CAVI and CAVI0 did not differ between groups.
Wohlfahrt [26] Clinical cross-sectional 2084 Provided reference values of CAVI and CAVI0 in a white population with no cardiovascular disease.CAVI and CAVI0 showed similar levels of correlation with BP that were much weaker than those of haPWV.
Shirai [19] Clinical cross-sectional 3591 P m showed a higher correlation with haPWV than both DBP and SBP.
Tabara [28] Clinical cross-sectional 9501 Close correlation between CAVI and CAVI0.The residual of the regression between CAVI and CAVI0 presented a weak but significant association with SBP.
Shirai [39] Clinical cross-sectional 8631 Compared CAVI and CAVI0 in population of 5293 healthy and 3338 hypertensive people.Showed that CAVI shows a positive correlation with DBP, while such correlation is negative for CAVI0.Compared decade-specific differences in CAVI and CAVI0 between controls and hypertensive patients. CAVI was always significantly higher in hypertensive men and women than age-matched controls (except women in their 30s). This was also the case for CAVI0 in people above 50 years, while younger hypertensive people showed comparable, if not lower (women aged 30–39), CAVI0 than age-matched controls.Among SBP, DBP and P m, P m showed the highest correlation with haPWV in all decade-groups of control people.Adding the reference pressure term ln(P m/P ref) had negligible, nonsignificant effect on CAVI.
Mestanik [28] Clinical longitudinal 60 Studied changes in CAVI and CAVI0 in response to acute blood pressure (BP) changes during cold pressor test.CAVI significantly increased in response to and positively correlated with changes in BP.CAVI0 did not change throughout the test and did not correlate with BP.
Czippelova [29] Clinical cross-sectional 58 Both CAVI and CAVI0 were significantly lower in young obese adolescents than age-matched controls.Strong correlation between CAVI and CAVI0 in both obese and normal-weight adolescents.
Tonhajzerova [33] Clinical cross-sectional 60 Studied differences in CAVI and CAVI0 between healthy, anorexic, and obese adolescent girls.Similar statistical differences between groups when using CAVI and CAVI0.
Kim [32] Clinical cross-sectional 85 Studied differences in CAVI and CAVI0 between women with polycystic ovary syndrome (PCOS) and controls.Results obtained with CAVI and CAVI0 were statistically similar, except for the correlation with age in women with PCOS that was significant in CAVI but not in CAVI0.
Itano [40] Clinical longitudinal 25 653 Studied association of CAVI with kidney function in adults without chronic kidney disease.Close correlation between CAVI and CAVI0.Similar results obtained using the two metrics.
Spronck [41] Clinical longitudinal 156 Showed that both right CAVI and right CAVI0 but not left CAVI and left CAVI0, predicted heart-failure related end points in a population of 156 individuals.Possible body-side difference in the prediction power of CAVI and CAVI0.
β, stiffness index beta, (Eq. 2); β0, pressure-normalized index of arterial stiffness (Eq. 1); BP, blood pressure; CAVI, cardio--ankle vascular index; CAVI0, modified cardio--ankle vascular index; haPWV, heart-to-ankle pulse wave velocity; Pm, mid pressure; PP, pulse pressure; Pref, reference pressure.

The 14 included studies consisted of one computational study, two longitudinal studies on the effect of acute changes in blood pressure on CAVI and CAVI0, three clinical longitudinal studies, and eight clinical cross-sectional studies. The evidence found in these manuscripts will be reported following a study-type rationale rather than a strictly chronological order.

Computational study

In 2017, alongside the analytical proof of the residual pressure dependency of CAVI and introduction of the adjusted CAVI0 metric, we provided a computational comparison of the two metrics [16]. The computational model chosen assumed, in agreement with Hayashi's findings, an exponential P--D relationship (Eq. 1). Simulations showed that β showed residual pressure dependency on DBP, CAVI showed dependency on both DBP and SBP and CAVI0 did not show such dependencies. More importantly, the magnitude of the residual pressure-dependency of CAVI was comparable with the intra-individual variability. It is worth noting, however, that in these simulations, PWV was assumed to arise purely from a foot-to-foot estimation, whereas in the VaSera device, part of the estimation is based on the dicrotic notch, where pressure is higher than DBP (see Fig. 2 and Discussion).

Longitudinal studies on treatment-induced acute changes in blood pressure

Longitudinal studies on the effect of treatment-induced acute changes in BP represent, in our opinion, the ideal setting to study the pressure-(in)dependency of a proposed arterial stiffness metric, as acute changes in BP and stiffness can be monitored simultaneously on a defined group of individuals. However, administration of drugs or manoeuvres to produce acute changes in BP level can potentially affect the vascular tone, thus altering the intrinsic and pressure-independent stiffness of the arterial wall and complicating the evaluation of the pressure dependence of the proposed stiffness metrics.

Shirai et al.[30] published a partial reanalysis of previously published data (9 out of 12 individuals from [31]) on the pressure-dependence of CAVI and brachial--ankle PWV (baPWV), extending it to CAVI0. This study uses administration of Metoprolol to decrease BP through decreasing heart rate and ventricular contractility, and Doxazosin to decrease BP by reducing smooth muscle tone. Both drugs produced a significant drop in both SBP and DBP, with consequent decreases in baPWV. On the contrary, both CAVI and CAVI0 remained unchanged after the administration of Metoprolol but significantly decreased with Doxazosin. The authors concluded that both CAVI and CAVI0 proved to be pressure-independent as they were not affected by the BP changes after the administration of Metoprolol. In contrast, Doxazosin likely affected also the vascular tone, thus affecting the intrinsic arterial stiffness. Note, however that the existing methodological differences between CAVI and CAVI0 imply that the two metrics cannot be both pressure-independent. Therefore, this finding suggests that the sample size of this study might have been too small to statistically detect the difference in pressure dependency between the proposed arterial stiffness metrics. Indeed, more recently, Mestanik et al.[28] presented preliminary results on changes in CAVI and CAVI0 in response to the cold pressor test and isometric handgrip exercise in 60 healthy adults. Their results showed that CAVI was significantly affected by and showed correlation with changes in BP. Conversely, CAVI0 did not change throughout the test and did not correlate with BP.

Clinical cross-sectional studies

Most of the articles reporting both CAVI and CAVI0 are clinical, mostly cross-sectional, studies where the two metrics were used to compare arterial stiffness of different clinical groups. Hence, demonstrating the advantages of one method over the other was, in most cases, not the main aim of these works. Furthermore, studying the pressure-(in)dependency of CAVI and CAVI0 using cross-sectional data is problematic. It is known, for example, that people who are exposed to increased levels of arterial pressure tend to have stiffer arteries than healthy normotensive people. Therefore, even pressure-independent arterial stiffness metrics will likely show correlation with BP over the entire population. Most clinical cross-sectional studies reported that results obtained with CAVI and CAVI0 are similar from a statistical standpoint (i.e. statistical differences between the groups included in the studies were comparable when using the two metrics). Wohlfahrt et al.[26] reported reference values of CAVI and CAVI0 in a population with no cardiovascular disease and found similar correlations with BP for the two metrics. Kim et al.[32] studied differences in CAVI and CAVI0 in Korean women with and without polycystic ovary syndrome and stated that the two methods provided similar statistical results.

Three studies investigated the effect of weight on arterial stiffness in adolescents. Overall, CAVI and CAVI0 agreed in identifying lower values of arterial stiffness in obese and overweight adolescents than age-matched normal-weight healthy people [25,29,33], while increased CAVI and CAVI0 were found in anorexic girls [33], consistent with previous literature on the (inverse) relationship between CAVI and BMI [27,34,35]. Further, Mestanik et al.[25] found that differences in both CAVI and CAVI0 between overweight and normal-weight adolescents were no more significant when overweight young people were also hypertensive. Interestingly, however, when using CAVI, also overweight white-coat hypertensive patients appeared to have higher levels of arterial stiffness than overweight normotensive individuals. Such difference was not found when using CAVI0. The authors suggested that the residual pressure-dependency of CAVI could possibly explain this discordant result; as the effects of white-coat hypertension on actual (pressure-independent) arterial stiffness seem marginal [36–38], increased CAVI in this group might reflect their high BP at the time of examination.

Shirai and colleagues [39] compared the pressure adjustment provided by CAVI and CAVI0 in a large cohort of normotensive and hypertensive Japanese people. Both metrics showed a significant cross-sectional correlation with SBP in both the hypertensive and normotensive groups, while disagreement between the two techniques was found in terms of relationship with DBP: CAVI showed a significant positive correlation with DBP in the normotensive group only. On the other hand, CAVI0 presented a significant negative correlation with DBP in both groups. Further, while dividing participants in decade age-groups and stratifying by sex, they evaluated differences in CAVI and CAVI0 between hypertensive patients and normotensive individuals. In both men and women, the two metrics indicated higher level of arterial stiffness in hypertensive people aged at least 50 years than in age-matched normotensives. On the contrary, in younger individuals, the results provided by CAVI and CAVI0 did not agree; in men aged 30–39 years and in people of both sexes aged 40–49 years, CAVI was significantly lower in normotensive individuals than in hypertensive patients, while differences in CAVI0 were not significant. Further, in women in their 30 s, CAVI0 was significantly lower in hypertensive patients than normotensive individuals, whereas CAVI did not differ in the two groups. Finally, Shirai and colleagues reported that including the –ln(DBP/Pref) term produced a 1.09 ± 1.39 and 3.68 ± 1.66% increase in the CAVI value provided by the VaSera device in normotensive individuals and hypertensive patients, respectively. The authors suggested that the high dependency of CAVI0 on DBP could explain two unexpected findings: the negative correlation between CAVI0 and DBP and the lower values of CAVI0 found in young hypertensive women compared with age-matched and sex-matched normotensive individuals. Additionally, to advocate for the use of Pm (Eq. 6) over that of DBP (Eq. 9), they reported that the cross-sectional correlation of haPWV with Pm was stronger than its correlation with either SBP or DBP in the healthy normotensive population [19,39], and this was the case also when people were stratified in decade age-groups.

Clinical longitudinal studies

We found four clinical longitudinal studies where both CAVI and CAVI0 were included in the analysis. Tabara et al.[28] studied factors influencing changes in CAVI and CAVI0 between baseline and 5 years’ follow-up in the Nagahama study. In agreement with other studies [26,29], the authors found a strong correlation between CAVI and CAVI0. Interestingly, but not unexpectedly, the residuals of the linear regression between the two metrics significantly correlated with SBP. Indeed, CAVI (Eq. 6) estimates β from PWV and ∼Pm (depending on both SBP and DBP), whereas, in CAVI0, the Pm is substituted by DBP (Eq. 9), thus explaining why residuals between the two metrics are related to SBP.

Itano et al.[40] found that patients with a CAVI of at least 8.1 had an elevated risk of chronic kidney disease events compared with those patients with lower CAVI. Performing the analysis using CAVI0 yielded similar results. We investigated the ability of R-CAVI, L-CAVI, R-CAVI0 and L-CAVI0 of predicting heart failure-related endpoints and found that only R-CAVI and R-CAVI0 had predictive power [41]. Finally, the VaSera trial [42,43] is a double-blinded, parallel, randomized controlled intervention trial evaluating the effect of four interventions (spironolactone, doxazosin, dietary nitrate beetroot juice, and nitrate-free beetroot juice) on arterial stiffness. The authors found that spironolactone and doxazosin had similar effects on SBP, CAVI and CAVI0, as did dietary nitrate beetroot juice and nitrate-free beetroot juice. The interested reader is referred to the original publications for more details.


The development of methods that allow the pressure-normalization of PWV is of crucial clinical importance [12]. The introduction of CAVI in 2006 represented a considerable, though not complete step towards an effective and, possibly more important, convenient way to account for the contribution of pressure to regional (heart-to-ankle) PWV, providing patient-specific corrections. In 2017, we proposed a modified metric, CAVI0, that aimed to improve pressure-independency by targeting two critical points: β is based on the individual-specific DBP and is, therefore, intrinsically pressure-dependent, and the use of a linearized Bramwell--Hill equation over the noninfinitesimal DBP-to-SBP pressure range introduces inaccuracies. As advantages of one technique over the other are still subject of debate, this discussion section will be focused on untangling these two points in the light of the scientific evidence reported in the previous paragraphs and with the objective of understanding how close we are to defining a pressure-independent index of arterial stiffness.

The introductory paragraphs explained in detail the difference between Hayashi's β0 and Kawasaki's β. Although both metrics intrinsically depend on the reference pressure chosen to define the exponential P-D relationship, β0 uses the same Pref for all individuals whereas β is based on the individual-specific DBP. Hence, while the first can be considered a pressure-normalized index of arterial stiffness, the second maintains a residual pressure dependency. β and β0 are linked by a simple equation (Eq. 8), so that β0 can easily be calculated from β by subtracting ln(DBP/Pref). Shirai and colleagues advocated that subtraction of this term to the standard β induces a negligible effect [39,44]. However, a careful analysis indicates that this effect is not negligible when comparing groups with large differences in DBP. Figure 3 shows the magnitude of the logarithmic term as a function of DBP. In the study of Shirai et al.[39], DBP ranged from approximately 70--117 mmHg in hypertensive people and from approximately 58--82 mmHg in normotensive individuals. Differences were particularly high in young people (30–39 years), when the average DBP was 100 mmHg in hypertensive individuals (men and women) and approximately 70 and 65 mmHg in normotensive men and women, respectively. Assuming Pref = 100 mmHg, the average contribution of the logarithmic term in hypertensive patients aged 30–39 years is null. On the contrary, in normotensive people of the same age-group the average difference between β and β0 is approximately 0.36 and 0.43 in men and women (Fig. 3), respectively, that translate into ∼0.30 and 0.35 in terms of CAVI. It is worth observing that the reported differences in CAVI between groups in this age range were comparable with, if not smaller than, these values. This simple example illustrates how omitting the logarithmic term can lead to potentially significant errors in the evaluation of arterial stiffness and misinterpretation of differences between clinical groups. Indeed, while Shirai and colleagues questioned the validity of CAVI0 on the basis of surprisingly lower average CAVI0 found in young hypertensive women compared with age-matched normotensives, subtracting ln(DBP/Pref) from the normal CAVI, that is, normalizing the pressure-dependent β to a fixed Pref, seems to provide the same outcome. Furthermore, these errors are calculated using average DBP values; patient-specific errors may be even higher. We do not deny that the average contribution of the logarithmic term in the overall population might be small, especially when inter-individual differences in DBP are relatively small [26,32]. Conversely, this contribution might become nonnegligible when clinical groups are characterized by significantly different pressures [25]. Furthermore, providing a group-based pressure-normalization of PWV is neither the goal of CAVI or CAVI0 as similar corrections can be obtained with established statistical methods. In light of the considerations detailed above and the fact that β0 can be easily determined from β without the necessity of further measurements, it seems logical and useful to use the proposed methodological adjustment factor.

The second difference between the CAVI and CAVI0 formulas consists in the calculation of the derivative term in the Bramwell--Hill equation. In CAVI, such derivative is approximated through a linearization of the exponential P-D relationship over the DBP-to-SBP pressure range, whereas in CAVI0, the exact derivative is calculated at diastolic pressure (Fig. 4). As shown previously [19], the linearization used in CAVI is close, although not mathematically equal, to calculating the derivative at the Pm. It is worth noting that Eq. 6 can be obtained without approximations if Eq. 2 is redefined with respect to Pm instead of DBP (see Appendix 2, This suggests that the approximation introduced by Eq. 6 alters the meaning of CAVIuns, which no longer approximates Kawasaki's β as it arises from a Pm-based rather than DBP-based exponential P-D relationship (Eq. 2 vs. Eq. A6). Nevertheless, the diatribe between the two methods reduces to determining what is the pressure level at which haPWV is calculated. Before proceeding, it is worth considering that both CAVI and CAVI0 apply a single-exponential P-D model to a large region of the arterial tree (heart-to-ankle). Clearly, along this region, both diameter and stiffness vary, and a single unique physical relationship between pressure and diameter is a simplification of reality. Therefore, this diatribe cannot be resolved by solving the inverse problem of determining the pressure at which haPWV is calculated knowing both β and haPWV. Hence, the choice of the best method has to be made based on methodological observations.

Summary of the methodological differences between cardio-ankle vascular index and modified cardio-ankle vascular index. Cardio-ankle vascular index (CAVI) approximates the derivative term in the Bramwell--Hill equation with differences over the SBP to DBP blood pressure range. Conversely, modified cardio-ankle vascular index (CAVI0) uses the exact derivative at DBP. haPWV, heart to ankle pulse wave velocity.

Shirai and colleagues adduced different justifications for the choice of Pm over DBP [39,44]; the first is based on the observation that, in cross-sectional studies, haPWV shows a higher correlation with Pm than with both SBP and DBP. However, as stated previously, cross-sectional studies can lead to confusing results concerning the dependency of PWV on BP as cross-sectional correlation arises from a combination of acute and chronic effects of BP on PWV. To understand this concept, it is useful to consider that the current guidelines for the diagnosis of hypertension are based on SBP and/or DBP overcoming a predefined threshold (e.g. 140 and 90 mmHg, respectively, in Europe). As hypertension and elevated BP are associated with arterial stiffening, it is likely that people with increased DBP, SBP, or both will have increased PWV. As Pm summarizes both DBP and SBP, it is not surprising that Pm, and not DBP or SBP individually, shows the highest correlation with haPWV. In a hypothetical population where some individuals present an elevated SBP but none has elevated DBP, haPWV would likely show higher correlation with SBP than with both Pm and DBP. Therefore, the high cross-sectional correlation of haPWV with Pm is hardly an incontrovertible proof of the fact that haPWV is determined at mid pressure.

Methodological observation can guide towards educated guesses when the solution to a problem cannot be achieved with strict scientific proof. For instance, as the CAVI and CAVI0 equations to estimate β and β0 can, in principle, be applied to PWV estimated using any method, the assumption that the DBP is the PWV-relevant pressure level seems reasonable for all the foot-to-foot PWV metrics (e.g. carotid--femoral PWV, brachial--ankle PWV) [44]. Indeed, the reference points used for the calculation of the transit time correspond to the foot of the systolic upstroke when pressure equals DBP. However, as illustrated in Fig. 2, the algorithm used for the determination of haPWV, and thus CAVI/CAVI0 is more complex and entails two time differences calculated at different pressure levels: dicrotic notch for tb and foot for tba. On one side, this algorithm has the advantage of including the ascending aorta in the haPWV arterial pathway, whereas this proximal segment is excluded in the more widely used carotid--femoral PWV. On the other hand, however, the physical meaning of haPWV becomes less tangible, representing an average between a diastolic PWV in the distal aorta and lower limbs’ arteries and a PWV at the dicrotic notch pressure for the proximal aorta (Fig. 2). Therefore, DBP probably underestimates the actual pressure at which haPWV is calculated.

Takahashi et al.[44] used similar methodological arguments to support the use of Pm over DBP, and stated that as the dicrotic notch is close to SBP, the PWV calculated over tb is approximately the PWV at SBP. Conversely, the PWV calculated over tba is determined at DBP. Therefore, Pm, the arithmetic mean between SBP and DBP, would represent the optimal choice for haPWV. However, typical brachial BP waveforms show that the pressure at the dicrotic notch in the brachial artery is approximately 0.55 × DBP + 0.45 × SBP, hence, much closer to MBP or Pm than to SBP [45]. Following the assumption of constant β0 in the arterial tree at the basis of CAVI and CAVI0 and knowing the heart-to-brachial and heart-to-ankle arterial path lengths [46], the haPWV-relevant pressure can be estimated to be approximately equal to 0.91 × DBP + 0.09 × SBP (see Appendix 3, for full calculations), that is, much closer to DBP than to Pm or to MBP (Fig. 5).

DBP offers a close approximation of P haPWV. Numbers presented for a normotensive person with SBP/DBP = 120/80 mmHg. Note that in this example, the difference between P m and P haPWV is three times the difference between P haPWV and DBP. P haPWV, relevant pressure for haPWV (calculation details in Appendix 2,; MBP, mean blood pressure (calculated as 0.4 × SBP + 0.6 × DBP [47]); P m, mid-blood pressure (arithmetic mean of SBP and MBP).

In addition to the previous argument, Shirai et al.[30] suggested that CAVI0 is largely dependent on DBP, which may vary along long arterial pathways. However, several studies reported that DBP and MBP are relatively constant along most parts of the arterial tree, whereas SBP significantly increases while moving downstream in the circulation because of pressure amplification [48,49]. It is worth noting that Pm is not equal to MBP and that Pm is strongly dependent on SBP. Therefore, the inaccuracy introduced by regional changes in DBP is deemed to be considerably smaller than that caused by regional differences in SBP, reflecting on Pm. In conclusion, although DBP might not be the exact pressure at which haPWV is determined, it likely represents a more accurate approximation of the haPWV-relevant pressure than Pm and has the advantage of being location-independent.

Notably, haPWV (and hence CAVI/CAVI0) is less influenced by brachial artery stiffness than baPWV. Whereas baPWV directly and negatively depends on brachial artery stiffness, haPWV is only influenced by the brachial artery's stiffness difference between diastolic and dicrotic notch pressures. This subject is further detailed in Appendix 4,

Finally, Ato [50] raised concerns pertaining to the three-piecewise linear conversion of β into CAVI [21]. As conceded by the authors, β is an index of arterial stiffness per se, although still pressure-dependent. Although the three-piecewise linear conversion was originally introduced to transform the dimensionless β into a PWV-like index that would match the Hasegawa PWV [23], this conversion unnecessarily complicates the relationship between differences in β and differences in CAVI. As, nowadays, CAVI is likely more widely used than the Hasegawa PWV, this conversion is no longer necessary and should ideally be avoided.

In conclusion, the introduction of CAVI -- based on measurement of heart-ankle PWV -- represented a significant step forward by correcting for the pressure-dependency of inter-individual differences in PWV. However, two methodological aspects of CAVI rendered this metric less pressure-independent than initially thought and CAVI0 was then introduced to correct for them by substituting the pressure-dependent β with β0 and by substituting the approximated derivative in the Bramwell--Hill equation with an exact derivative at the DBP. The advantage of the first correction is clear: the corrective effect of the logarithmic term in CAVI0 is substantial, when the study groups show a large difference in DBP. The second correction is less clear, while it raises the more fundamental question of which ‘pressure’ governs the pressure-dependency exhibited by the haPWV (Fig. 2). At present, most studies comparing CAVI and CAVI0 have a cross-sectional design (Table 1) and, hence, are not well suited to address this question. The few preliminary longitudinal studies we reviewed have limitations pertaining to parallel effects on pressure as well as arterial tone, with the latter influencing intrinsic arterial stiffness. In the present analysis, we showed that the haPWV-relevant pressure is much more closely approximated by DBP than by Pm. Hence, our review supports the utility of CAVI0 as an enhancement of CAVI to improve the pressure-independent assessment of arterial stiffness.


This research was funded by the European Union's Horizon 2020 Research and Innovation program (grant 793805 to B.S.).

Conflicts of interest

There are no conflicts of interest.


1. Ben-Shlomo Y, Spears M, Boustred C, May M, Anderson SG, Benjamin EJ, et al. Aortic pulse wave velocity improves cardiovascular event prediction. J Am Coll Cardiol 2014; 63:636–646.
2. The Reference Values for Arterial Stiffness’ Collaboration. Determinants of pulse wave velocity in healthy people and in the presence of cardiovascular risk factors: ‘establishing normal and reference values.’. Eur Heart J 2010; 31:2338–2350.
3. Gavish B, Izzo JL. Arterial stiffness: going a step beyond. Am J Hypertens 2016; 29:1223–1233.
4. Spronck B, Heusinkveld M, Vanmolkot F, Roodt JO, Hermeling E, Delhaas T, et al. Pressure-dependence of arterial stiffness: potential clinical implications. J Hypertens 2015; 33:330–338.
5. Hayashi K, Handa H, Nagasawa S, Okumura A, Moritake K. Stiffness and elastic behavior of human intracranial and extracranial arteries. J Biomech 1980; 13:175–184.
6. Patel DJ, Janicki JS, Carew TE. Static anisotropic elastic properties of the aorta in living dogs. Circ Res 1969; 25:765–779.
7. Histand MB, Anliker M. Influence of flow and pressure on wave propagation in the canine aorta. Circ Res 1973; 32:524–529.
8. Dobrin PB. Mechanical properties of arteries. Physiol Rev 1978; 58:397–460.
9. Shah AS, Dabelea D, Talton JW, Urbina EM, D’Agostino RB, Wadwa RP, et al. Smoking and arterial stiffness in youth with type 1 diabetes: the SEARCH cardiovascular disease study. J Pediatr 2014; 165:110–116.
10. Klassen SA, Chirico D, O’Leary DD, Cairney J, Wade TJ. Linking systemic arterial stiffness among adolescents to adverse childhood experiences. Child Abus Negl 2016; 56:1–10.
11. Hoonjan B, Dulai R, Ahmed Z, Lucey A, Twycross-Lewis R, Morrissey D, et al. Comparing the effect of moderate intensity exercise on arterial stiffness in resistance trained athletes, endurance trained athletes and sedentary controls: A cross-sectional observational study. Artery Res 2013; 7:216–221.
12. Spronck B. Disentangling arterial stiffness and blood pressure. Heart Lung Circ 2021; (in press).
13. Ma Y, Choi J, Hourlier-Fargette A, Xue Y, Chung HU, Lee JY, et al. Relation between blood pressure and pulse wave velocity for human arteries. Proc Natl Acad Sci U S A 2018; 115:11144–11149.
14. Spronck B, Delhaas T, Butlin M, Reesink KD, Avolio AP. Options for dealing with pressure dependence of pulse wave velocity as a measure of arterial stiffness: an update of cardio-ankle vascular index (CAVI) and CAVI0. Pulse 2017; 5:106–114.
15. Shirai K, Utino J, Otsuka K, Takata M. A novel blood pressure-independent arterial wall stiffness parameter; cardio-ankle vascular index (CAVI). J Atheroscler Thromb 2006; 13:101–107.
16. Spronck B, Avolio AP, Tan I, Butlin M, Reesink KD, Delhaas T. Arterial stiffness index beta and cardio-ankle vascular index inherently depend on blood pressure but can be readily corrected. J Hypertens 2017; 35:98–104.
17. Kawasaki T, Sasayama S, Yagi SI, Asakawa T, Hirai T. Noninvasive assessment of the age related changes in stiffness of major branches of the human arteries. Cardiovasc Res 1987; 21:678–687.
18. Bramwell JC, Hill AV, McSwiney BA. The velocity of the pulse wave in man in relation to age as measured by the hot-wire sphygmograph. Heart 1923; 10:233–255.
19. Shirai K, Takata M, Takahara A, Shimizu K. Medical science is based on evidence (answer to Spronck et al.'s refutation: Physics cannot be disputed). J Hypertens 2018; 36:958–960.
20. Spronck B, Mestanik M, Tonhajzerova I, Jurko A, Jurko T, Avolio AP, et al. Direct means of obtaining CAVI0 - a corrected cardio-ankle vascular stiffness index (CAVI) - from conventional CAVI measurements or their underlying variables. Physiol Meas 2017; 38:N128–N137.
21. Takahashi K, Yamamoto T, Tsuda S, Okabe F, Shimose T, Tsuji Y, et al. Coefficients in the cavi equation and the comparison between cavi with and without the coefficients using clinical data. J Atheroscler Thromb 2019; 26:465–475.
22. Spronck B, Mestanik M, Tonhajzerova I, Jurko A, Tan I, Butlin M, Avolio AP. Easy conversion of cardio-ankle vascular index into CAVI0: Influence of scale coefficients. J Hypertens 2019; 37:1913–1914.
23. Hasegawa M, Arai C. CIinical estimation of vascular elastic function and practical appiication. Connect Tissue 1995; 27:149–157.
24. Segers P. A lesson in vigilance: pressure dependency of a presumed pressure-independent index of arterial stiffness. J Hypertens 2017; 35:33–35.
25. Mestanik M, Jurko A, Spronck B, Avolio AP, Butlin M, Jurko T, et al. Improved assessment of arterial stiffness using corrected cardio-ankle vascular index (CAVI0) in overweight adolescents with white-coat and essential hypertension. Scand J Clin Lab Invest 2017; 77:665–672.
26. Wohlfahrt P, Cífková R, Movsisyan N, Kunzová Š, Lešovský J, Homolka M, et al. Reference values of cardio-ankle vascular index in a random sample of a white population. J Hypertens 2017; 35:2238–2244.
27. Tabara Y, Setoh K, Kawaguchi T, Takahashi Y, Kosugi S, Nakayama T, Matsuda F. the Nagahama Study Group. Factors affecting longitudinal changes in cardio-ankle vascular index in a large general population: The Nagahama study. J Hypertens 2018; 36:1147–1153.
28. Mestanik M, Spronck B, Jurko A, Mestanikova A, Jurko T, Butlin M, et al. P135 assessment of novel blood pressure corrected cardio-ankle vascular index in response to acute blood pressure changes. Artery Res 2019; 25:S173.
29. Czippelova B, Turianikova Z, Krohova J, Wiszt R, Lazarova Z, Pozorciakova K, et al. Arterial stiffness and endothelial function in young obese patients-vascular resistance matters. J Atheroscler Thromb 2019; 26:1015–1025.
30. Shirai K, Shimizu K, Takata M, Suzuki K. Independency of the cardio-ankle vascular index from blood pressure at the time of measurement. J Hypertens 2017; 35:1521–1523.
31. Shirai K, Song M, Suzuki J, Kurosu T, Oyama T, Nagayama D, et al. Contradictory effects of β1- and α1-aderenergic receptor blockers on Cardio-Ankle Vascular Stiffness Index (CAVI): CAVI is independent of blood pressure. J Atheroscler Thromb 2011; 18:49–55.
32. Kim J, Choi SY, Park B, Park HE, Lee H, Kim MJ, et al. Arterial stiffness measured by cardio-ankle vascular index in Korean women with polycystic ovary syndrome. J Obstet Gynaecol (Lahore) 2019; 39:681–686.
33. Tonhajzerova I, Mestanikova A, Jurko A, Grendar M, Langer P, Ondrejka I, et al. Arterial stiffness and haemodynamic regulation in adolescent anorexia nervosa versus obesity. Appl Physiol Nutr Metab 2019; 45:81–90.
34. Gomez-Sanchez L, Garcia-Ortiz L, Patino-Alonso MC, Recio-Rodriguez JI, Rigo F, Martí R, et al. MARK Group. Adiposity measures and arterial stiffness in primary care: the MARK prospective observational study. BMJ Open 2017; 7:e016422.
35. Nagayama D, Imamura H, Sato Y, Yamaguchi T, Ban N, Kawana H, et al. Inverse relationship of cardioankle vascular index with BMI in healthy Japanese subjects: a crosssectional study. Vasc Health Risk Manag 2017; 13:13–14.
36. Mestanik M, Jurko A, Mestanikova A, Jurko T, Tonhajzerova I. Arterial stiffness evaluated by cardio-ankle vascular index (CAVI) in adolescent hypertension. Can J Physiol Pharmacol 2015; 94:112–116.
37. Scuteri A, Morrell CH, Orru’ M, Alghatrif M, Saba PS, Terracciano A, et al. Gender specific profiles of white coat and masked hypertension impacts on arterial structure and function in the SardiNIA study HHS Public Access. Int J Cardiol 2016; 217:92–98.
38. Andrikou I, Tsioufis C, Dimitriadis K, Syrseloudis D, Valenti P, Almiroudi M, et al. Similar levels of low-grade inflammation and arterial stiffness in masked and white-coat hypertension: comparisons with sustained hypertension and normotension. Blood Press Monit 2011; 16:218–223.
39. Shirai K, Suzuki K, Tsuda S, Shimizu K, Takata M, Yamamoto T, et al. Comparison of cardio-ankle vascular index (CAVI) and CAVI0 in large healthy and hypertensive populations. J Atheroscler Thromb 2019; 26:603–615.
40. Itano S, Yano Y, Nagasu H, Tomiyama H, Kanegae H, Makino H, et al. Association of arterial stiffness with kidney function among adults without chronic kidney disease. Am J Hypertens 2020; 33:1003–1010.
41. Spronck B, Lee J, Oldland G, Obeid MJ, Paravathaneni M, Gadela NV, et al. P152 prediction of death or heart failure-related hospitalizations by cardio-ankle vascular index (CAVI) and CAVI0. Artery Res 2020; 25:S189.
42. Mills CE, Govoni V, Faconti L, Casagrande ML, Morant SV, Webb AJ, et al. Reducing arterial stiffness independently of blood pressure: the VaSera Trial. J Am Coll Cardiol 2017; 70:1683–1684.
43. Mills CE, Govoni V, Faconti L, Casagrande ML, Morant SV, Crickmore H, et al. A randomised, factorial trial to reduce arterial stiffness independently of blood pressure: Proof of concept? The VaSera trial testing dietary nitrate and spironolactone. Br J Clin Pharmacol 2020; 86:891–902.
44. Takahashi K, Yamamoto T, Tsuda S, Maruyama M, Shirai K. The background of calculating CAVI: Lesson from the discrepancy between CAVI and CAVI0. Vasc Health Risk Manag 2020; 16:193–201.
45. Adji A, O’Rourke MF. Brachial artery tonometry and the Popeye phenomenon: explanation of anomalies in generating central from upper limb pressure waveforms. J Hypertens 2012; 30:1540–1551.
46. Boileau E, Nithiarasu P, Blanco PJ, Müller LO, Fossan FE, Hellevik LR, et al. A benchmark study of numerical schemes for one-dimensional arterial blood flow modelling. Int J Numer Method Biomed Eng 2015; 31:e02732.
47. Bos WJW, Verrij E, Vincent HH, Westerhof BE, Parati G, Van Montfrans GA. How to assess mean blood pressure properly at the brachial artery level. J Hypertens 2007; 25:751–755.
48. Pauca AL, O’Rourke MF, Kon ND. Prospective evaluation of a method for estimating ascending aortic pressure from the radial artery pressure waveform. Hypertension 2001; 38:932–937.
49. Kroeker EJ, Wood EH. Comparison of simultaneously recorded central and peripheral arterial pressure pulses during rest, exercise and tilted position in man. Circ Res 1955; 3:623–632.
50. Ato D. Evaluation of the calculation formulas of the cardio-ankle vascular index used in the Japanese apparatus. Vasc Health Risk Manag 2019; 15:395–398.
51. Spronck B. Stiff vessels approached in a flexible way: Advancing quantification and interpretation of arterial stiffness. Artery Res 2018; 21:63–68.

    arterial stiffness; cardio-ankle vascular index; CAVI0; pressure-dependency; pulse wave velocity

    Supplemental Digital Content

    Copyright © 2021 The Author(s). Published by Wolters Kluwer Health, Inc.