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      Using the Cardio-Ankle Vascular Index (CAVI) or the Mathematical Correction Form (CAVI 0) in Clinical Practice

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          Abstract

          Tonhajzerova et al. [1] published a review paper in the International Journal of Molecular Sciences in which they evaluated atherosclerosis and other pathophysiological mechanisms involved in cardiovascular disease (CVD) in patients with human papillomavirus (HPV). The paper explored new biomarkers that could be used for affected individuals. They mentioned the cardio-ankle vascular index (CAVI), proposed by Shirai et al. [2] in 2006, as a method that can be used to assess the overall stiffness of arteries and provide information about the status of atherosclerosis in patients (Equation (1)). Although CAVI can be a proper stiffness index from the origin of the aorta to the ankle, there are some points that should be considered before using this index (and the indices associated with CAVI) in clinical practice. CAVI0 (Equation (2)) is the mathematically corrected formula that has been derived from the CAVI formula. Spronck et al. [3] claimed that this marker is less dependent on blood pressure changes in the patient. In another article that was recently published, they also provided another tool to easily convert CAVI into CAVI0 values [4]. It is worth noting that CAVI0 has been doubted by the developer of CAVI because it has some flaws and cannot provide accurate measurements of arterial stiffness. CAVI = a {(2ρ/∆P) × ln (Ps/Pd) PWV2} + b(1) CAVI0=2ρ × (PWV2/Pd) − ln (Pd/P0)(2) where PWV: pulse wave velocity of the arterial tree from the origin of the aorta to the ankle; Ps: systolic blood pressure; Pd: diastolic blood pressure; ρ: blood density; Δ P: Ps – Pd; a, b: coefficients; P0: reference pressure (100 mmHg). The use of CAVI0 was proposed by Spronck et al. [3] in 2017. They used data from 497 subjects to modify the original CAVI formula (by Shirai et al. [2]). There are some fundamental differences between CAVI and CAVI0. Unlike CAVI, which uses Pd and Ps in its formula, in calculating CAVI0, only Pd, not Ps, is used. Another difference between CAVI and CAVI0 is the use of P0 in the formula of CAVI0. Although Spronck et al. [3] claimed that the new formula of CAVI0 is independent of blood pressure, in a large study on 5293 individuals, Shirai et al. [5] recently showed that CAVI0 is not accurate because of its strong dependency on Pd. Another reason that CAVI0 provides equivocal results is that Spronck et al. [3] did not take into account the physiological properties of individuals, such as their body mass index (BMI). BMI has been shown to be inversely associated with CAVI [6,7]. It is also interesting to know that the information about CAVI has been recently updated. Takahashi et al. [8] showed that the CAVI without the coefficients (coefficients a and b in Equation (1)) is also a valid index of arterial stiffness (Equation (3)). CAVI without coefficients a and b is parameter β, which is referred to as haβ (heart to ankle beta). Takahashi et al. [8] also revealed the coefficient “a” and “b” values that are being used in the CAVI calculation (Table 1). A review of this information raised some interesting discussion about the validity and use of the CAVI index. A study that aimed to simulate the influence of adjusting the coefficients in the equation of CAVI by Ato D. [9] suggested that the developers of CAVI fix these coefficients or terminate the use of CAVI. The reason is that those coefficients are dependent on the level of haβ (Table 1), and CAVI underestimates the original value of parameter β (haβ) that is used in the CAVI formula. Because the CAVI concept is driven by haβ (Equation (4)), it might cause inaccuracy in the calculation of the CAVI values. haβ = (2ρ/∆P) × ln (Ps/Pd) haPWV2 (3) CAVI= a haβ + b(4) where haPWV: heart-ankle PWV. As there are many concerns about using CAVI and CAVI0, we can say that PWV and parameter β can be considered as more reliable indices. As Tonhajzerova et al. [1] mentioned, PWV can still be considered an important risk marker, but given the fact that PWV and parameter β only include the more elastic aortic arterial wall and do not include the more muscular arm and leg arterial beds, researchers consider the use of more wholistic indices such as haPWV or haβ instead of PWV and parameter β, especially in older and high-risk patients, as muscular arteries are more likely to be affected by atherosclerosis after the proximal elastic arteries are affected [10]. The use of PWV and parameter β might yield similar results to haPWV and haβ in younger individuals. Blood pressure is dependent on arterial stiffness (as a result of both structural and functional mechanisms) and arterial stiffness can be accelerated in the presence of hypertension [11]. Considering these facts, it is important to know which factors influence CAVI as an index of arterial stiffness. A recent study by Kamon et al. [11] showed that the blood pressure (BP) category was only associated with high CAVI in males, not females. This further emphasizes the role of sex along with age, diabetes and obesity in the management of hypertension.

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          Arterial stiffness: a new cardiovascular risk factor?

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            Inverse relationship of cardioankle vascular index with BMI in healthy Japanese subjects: a cross-sectional study

            Objective The objective of this study is to investigate the association of body mass index (BMI) with arterial stiffness assessed by cardioankle vascular index (CAVI). Subjects and methods A retrospective cross-sectional study was conducted in 23,257 healthy Japanese subjects (12,729 men and 10,528 women, aged 47.1 ± 12.5 years, BMI 22.9 ± 3.4 kg/m2) who underwent health screening between 2004 and 2006 in Japan. Exclusion criteria were current medication use and a past history of cardiovascular disease, hypertension, stroke, diabetes, and nephritis. Results Male subjects showed significantly higher BMI, CAVI, and triglycerides and lower high-density lipoprotein (HDL)-cholesterol compared with female subjects. Next, the subjects were divided into tertiles of BMI: lower, middle, and upper, in a gender-specific manner. After adjusting for confounders including age, systolic blood pressure, and HDL-cholesterol identified by multiple regression analysis, the mean CAVI decreased progressively as BMI tertile increased in both genders. Furthermore, a negative inverse relationship between BMI and adjusted CAVI was observed throughout the BMI distribution. Multivariate logistic regression model for contributors of high CAVI (≥90th percentile) identified obesity (odds ratios (95% confidence interval): 0.804 (0.720–0.899)], older age [15.6 (14.0–17.4)], male gender [2.26 (2.03–2.51)], hypertension [2.28 (2.06–2.54)], impaired fasting glucose [1.17 (1.01–1.37)], and low HDL-cholesterol [0.843 (0.669–1.06)] as independent factors. Conclusion We demonstrated an inverse relationship between CAVI and BMI in healthy Japanese subjects, suggesting that systemic accumulation of adipose tissue per se may lead to a linear decrease of arterial stiffness in nonobese and obese subjects without metabolic disorders.
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              Coefficients in the CAVI Equation and the Comparison Between CAVI With and Without the Coefficients Using Clinical Data

              Aim: The Cardio-Ankle Vascular Index (CAVI) is a stiffness index of the arterial tree from the origin of the aorta to the ankle, independent of blood pressure at the time of measurement. The CAVI equation includes the coefficients “a” and “b” to adjust it to the value of Hasegawa's pulse wave velocity, which is compensated for at 80 mmHg of diastolic pressure. To verify this adjustment with the coefficients, the clinical significance of CAVI and CAVI without the coefficients (haβ) were compared in both an epidemiological study and an acute clinical study. Methods: In the epidemiological study, the significances of CAVI and haβ among people with or without coronary risks such as hypertension, dyslipidemia, hyperglycemia, and abnormal electrocardiography change, were compared. In the acute clinical study, nitroglycerin was administered to subjects in a control group and to coronary artery disease patients, observing CAVI and haβ values over a 20-min period. Results: There was no discrepancy in terms of statistically significant differences between CAVI and haβ among subjects with or without risk factors. Furthermore, there was also no discrepancy in terms of statistically significant differences between CAVI and haβ during the changes of those values following nitroglycerin administration over a 20-min period. Conclusion: In both the epidemiologic and clinical studies, there was no discrepancy in terms of significant differences between CAVI and haβ. These results suggest that both are valid as indices of stiffness of the arterial tree from the origin of the aorta to the ankle.
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                Author and article information

                Journal
                Int J Mol Sci
                Int J Mol Sci
                ijms
                International Journal of Molecular Sciences
                MDPI
                1422-0067
                31 March 2020
                April 2020
                : 21
                : 7
                : 2410
                Affiliations
                [1 ]Research Center for Healthcare Industry Innovation, National Taipei University of Nursing and Health Sciences, Taipei City 112, Taiwan; 8javad@ 123456ntunhs.edu.tw
                [2 ]Department of Information Management, National Taipei University of Nursing and Health Sciences, Taipei City 112, Taiwan; nchsieh@ 123456ntunhs.edu.tw
                [3 ]College of Nursing, School of Nursing, National Taipei University of Nursing and Health Sciences, Taipei City 112, Taiwan; shufang@ 123456ntunhs.edu.tw
                Author notes
                [* ]Correspondence: jaz.tmu@ 123456gmail.com ; Tel.: +886-(02)2822-7101 (ext. 4215); Fax: +886-(2)2821-4446
                Author information
                https://orcid.org/0000-0003-2966-1315
                Article
                ijms-21-02410
                10.3390/ijms21072410
                7178179
                32244393
                c7c70e5a-9417-432e-a676-985025d0a522
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 18 December 2019
                : 19 March 2020
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                Molecular biology
                Molecular biology

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