Literature DB >> 33447764

Arterial stiffening is a crucial factor for left ventricular diastolic dysfunction in a community-based normotensive population.

Maeda Mika1, Hideaki Kanzaki2, Takuya Hasegawa2, Hiroki Fukuda2, Makoto Amaki2, Jiyoong Kim3, Masanori Asakura4, Hiroshi Asanuma5, Motonobu Nishimura1, Masafumi Kitakaze2.   

Abstract

BACKGROUND: Left ventricular (LV) diastolic dysfunction is an important underlying hemodynamic mechanism for heart failure. Hypertension reportedly increases aortic stiffness with histological changes in the aorta assessed using aortic pulse wave velocity (PWV) that is associated with LV diastolic dysfunction. The role of hypertension per se in the relationship between aortic stiffness and LV diastolic dysfunction has not been clarified; therefore, we investigated whether this relation works for normotensive subjects.
METHODS: Of the 502 subjects who underwent both echocardiography and PWV measurement in a medical check-up conducted in Arita, Japan, we enrolled 262 consecutive normotensive subjects (age 52 ± 13 years). LV diastolic dysfunction was defined as abnormal relaxation and pseudonormal or restrictive patterns determined with both transmitral flow velocity and mitral annular velocity. Aortic stiffness was assessed via non-invasive brachial-ankle PWV measurement.
RESULTS: LV diastolic dysfunction was detected in 67 of the 262 (26%) normotensive subjects, and PWV was higher in subjects with LV diastolic dysfunction (15.4 ± 3.6 vs. 13.0 ± 2.7 m/s, p < 0.01). Multivariate logistic regression analyses revealed that PWV was independently associated with LV diastolic dysfunction (p = 0.02) after the adjustment for age; body mass index; blood pressure; eGFR; blood levels of BNP, glucose, and HDL cholesterol; LV mass index; and LA dimension.
CONCLUSIONS: Both aortic stiffness and LV diastolic function are mutually related even in normotensive subjects, independent of the potential confounding factors. The increase in aortic stiffness may be a risk factor for LV diastolic dysfunction, irrespective of blood pressure.
© 2020 The Authors.

Entities:  

Keywords:  Diastolic function; Normotension; Pulse wave velocity

Year:  2020        PMID: 33447764      PMCID: PMC7803042          DOI: 10.1016/j.ijchy.2020.100038

Source DB:  PubMed          Journal:  Int J Cardiol Hypertens        ISSN: 2590-0862


Introduction

Left ventricular (LV) diastolic dysfunction is an important underlying hemodynamic mechanism of heart failure (HF) with preserved LV ejection fraction (HFpEF) that accounts for up to 50% of HF cases that are often observed in elderly women, particularly in those with a history of hypertension, LV hypertrophy, or diabetes mellitus [1]. HFpEF is reported to be attributable to the abnormalities of the myocardium; stiff ventricle attributable to myocardial fibrosis and hypertrophy may not allow the blood to fill completely during diastole despite preserved ventricular contractility. However, the systemic large artery acts not only as a conduit, but also as an elastic buffering chamber; further, the less elastic large artery is reported to cause excess rise in pressure during systole and impair LV relaxation [[2], [3], [4]], thus contributing to HFpEF. Hypertension is a primary cause of HFpEF [5,6], and pulse wave velocity (PWV), a measure of aortic stiffness, is related to LV diastolic dysfunction in patients with hypertension [7,8]. However, the critical question is whether hypertension per se is essential to constitute the relationship between PWV and LV diastolic dysfunction because this question implies that we simply need to treat hypertension or that we need to improve the vascular function to improve the pathophysiology of HFpEF. In order to resolve this issue, we sought to find that LV diastolic dysfunction is the function of systemic artery stiffness in normotensive subjects. We investigated various parameters, including medical data, echocardiography, blood analysis, and PWV in a community-based normotensive population.

Methods

Study design

In 2007, an annual health examination was conducted in Arita, located in the west of the Saga Prefecture on the island of Kyusyu, southern Japan, to investigate the pathophysiology of the early phase of lifestyle-oriented diseases. The population of this town was approximately 22,000; 48% of the residents were male and 52% were females. The Arita-cho study is a community-based and baseline survey that included a formal medical history interview, ECG, and physical as well as laboratory examinations. The study was approved by the Ethics Committees of the National Cerebral and Cardiovascular Center, the Arita city, HuBit genomics, Inc., CRO. The study was performed as per the ethical principles of the Helsinki Declaration, and written informed consent was obtained from all the participants. We retrospectively reviewed the charts of 3133 subjects aged >30 years who visited for a check-up at Arita, Saga, Japan in 2007, and underwent both echocardiography and ba-PWV.

Study population

Fig. 1 shows the patient characteristics. Both two-dimensional echocardiography data with optimal quality and the value of ba-PWV were obtained in 502 of the 3133 subjects. Subjects with 1) left ventricular (LV) ejection fraction < 50%; 2) LV end-diastolic volume index > 97 mL/m2; 3) ankle-brachial pressure index (ABI) < 0.9 [9]; 4) no available data of transmitral flow, tissue Doppler imaging (TDI), or LV dimension; or 5) no hematological examination were excluded. In addition to those with hypertension, we also excluded those with diabetes mellitus, atrial fibrillation, or age >75 years [10] because these conditions are linked to LV diastolic dysfunction. Finally, both Doppler mitral profiles and TDI of sufficient quality were obtained for 262 subjects (age 52 ± 13 years, 75 men) for determination of LV diastolic property. All of the data were obtained from the medical records, echocardiography and the investigation of ba-PWV in all of the subjects.
Fig. 1

Schematic presentation of the study profiles. EF: ejection fraction, EDVI: end-diastolic volume index, HT: hypertension, DM: diabetes mellitus, Af: atrial fibrillation.

Schematic presentation of the study profiles. EF: ejection fraction, EDVI: end-diastolic volume index, HT: hypertension, DM: diabetes mellitus, Af: atrial fibrillation.

Medical records of the enrolled subjects

We obtained the medical records regarding age, sex, height, smoking habits, current medication, previous history of myocardial infarction, diabetes mellitus, hypertension, and dyslipidemia. The patients were asked about their lifestyle and physical factors; the answers were reviewed by trained nurse abstractors. In addition, a clinical diagnosis of coronary artery disease, atrial fibrillation, or valvular heart disease was recorded. Hypertension was defined as systolic blood pressure (SBP) > 140 mmHg and/or diastolic blood pressure (DBP) > 90 mmHg or receiving medications from outpatient clinics in the past and the present [11]. The patient was considered to have dyslipidemia or diabetes mellitus if he/she was receiving cholesterol or glucose-lowering agents, respectively, or if so reported in the clinical questionnaire. In addition, high low-density lipoprotein (LDL) cholesterol levels, low high-density lipoprotein (HDL) cholesterol levels, and high triglyceride (TG) levels were defined as LDL cholesterol levels > 140 mmHg, HDL-cholesterol levels < 40 mmHg, and TG > 150 mmHg, respectively. Metabolic syndrome (MetS) was defined as per the established criteria for MetS [12,13]. Body mass index (BMI) was calculated as kg/m2. Estimated-glomerular filtration rate (eGFR) was calculated based on the sex, serum creatinine level, and age (Male = 194 × serum creatinine−1.094 × age−0.287. Female = 194 × serum creatinine−1.094 × age−0.287 × 0.739) [14].

Measurements

Clinical measurements

Systemic BP was defined as a mean of two readings on the right arm with the random zero method, measured under standardized conditions with the participant seated (after 5 min of rest). The mean BP (MBP) and pulse pressure were calculated as [systolic BP (SBP) +2/diastolic BP(DBP)]/3, and SBP-DBP, respectively. Waist circumference was measured with a flexible tape, at the mid-point between the lowest rib and the iliac crest.

Brachial-ankle pulse wave velocity

PWV was determined using the form PWV/ABI (Colin, Tokyo, Japan) that records blood pressure, PWV, ABI, heart sounds, and performs electrocardiography (ECG) simultaneously. The subject was examined in the supine position, with ECG electrodes placed on both the wrists, a microphone for detecting heart sounds placed on the left edge of the sternum, and cuffs wrapped on both the brachia and ankles. The cuffs were connected to a plethysmographic sensor that determines the volume pulse form and an oscillometric pressure sensor that measures the blood pressure. The characteristic points of the waveforms were automatically determined. Brachial-ankle PWV (ba-PWV) was calculated using the standard method [8]. In sum, the time interval between the wave front of the brachial waveform and that of the ankle waveform was defined as the time interval between the brachium and ankle (ΔT). The distance between the suprasternal notch to the brachium (Lb) was obtained from superficial measurements and between the length from the suprasternal notch to the ankle (La) were estimated. Then, the following equation was used: ba-PWV=(La-Lb)/ΔT. The device has been validated and provides accurate automatic measurement of ba-PWV [8,15]. The ba-PWV was measured after at least 5 min of rest.

Echocardiography

Comprehensive transthoracic echocardiography was performed by seven cardiologists who were blinded to all clinical data using commercially available Vivid I (GE Healthcare, Milwaukee, WI) and Aplio XG (Toshiba Medical Systems, Tokyo, Japan) machines. Two-dimensional and color Doppler imaging was performed in standard parasternal and apical views according to the guidelines of the American Society of Echocardiography [16]. A sample volume of the pulsed-wave Doppler was placed between the tips of the mitral leaflets in the apical long axis view. Early (E) and late (A) transmitral flow velocities, the ratio of early to late peak velocities (E/A), and deceleration time of E velocity were measured. The LV ejection fraction was calculated using Teichholz equations [17], and LV mass index to BSA (LVMi) was calculated with the M-mode method [18]. LV hypertrophy was defined LVMi >131 g m−2 in men and >100 g m−2 in women [19]. The relative wall thickness (RMT) was calculated as the ratio of wall thickness to end-diameter in diastole [20]. Tissue Doppler imaging were records using a sample volume of 10 mm placed at the lateral side of the annulus from apical 4-chamber view [21,22]. Analysis was performed for the early (e’) and late (a’) diastolic velocity. All the subjects were categorized using transmitral flow velocity and mitral annular velocity: normal (E-DcT 160–240 ms and E/e’ ≤ 8), abnormal relaxation (E/A < 1.0 and E-DcT > 240 ms), pseudonormal (E-DcT 160–200 ms and E/e’ >8); restrictive (E/A > 1.5 and E-DcT < 160 ms) patterns [21,23,24]. LV diastolic dysfunction was defined as abnormal relaxation as well as pseudonormal and restrictive patterns.

Statistical methods

Continuous data are presented as mean ± SD values, and categorical data are shown as numbers (percentages). Comparisons of the data of the two groups were performed using Pearson correlation coefficients. A P-value < 0.05 was considered statistically significant. In the univariate logistic regression analysis, categorical variables were reported as independent predictors of LV diastolic dysfunction [25] and were analyzed using a likelihood ratio test. We defined that LVMi was a marker of LV hypertrophy, BMI was a maker of obesity, and systolic blood pressure was a marker of blood pressure. We also developed a multivariate logistic regression model using a significance level of p < 0.1 for entry and p > 0.20 for removal. All the statistical analyses were performed using JMP 8 (SAS Institute, Cary, NC).

Results

Participant characteristics

The baseline characteristics of the enrolled subjects are presented in Table 1. Of the 262 subjects, LV diastolic dysfunction was detected in 67 (26%) subjects (age 59 ± 13 years, 20 men). Of the 67 subjects with LV diastolic dysfunction, 36, 16 and 15 subjects belonged to the categories of abnormal pattern, pseudo-normal pattern and restrictive pattern, respectively. They were older, and their BMI, BP, pulse pressure, ba-PWV, BNP, and bloods sugar levels were higher than those of subjects with normal LV diastolic function; the mean HDL and eGFR levels were lower in this group. Prevalence of MetS was comparable in both groups (Table 1).
Table 1

Comparison between the with diastolic dysfunction group and the without diastolic dysfunction group in normotensive subjects at the baseline.

Normal Diastolic function(n = 195)Diastolic Dysfunction(n = 67)p Value
Age, yrs50 ± 1259 ± 13<0.001
Male, n (%)55 (28)20 (30)0.798
BMI, kg/m221.5 ± 2.822.5 ± 2.80.014
Heart rate,/min64 ± 963 ± 90.468
Systolic BP, mmHg95 ± 11100 ± 120.001
Diastolic BP, mmHg73 ± 876 ± 90.022
Pulse pressure, mmHg22 ± 524 ± 60.002
ba PWV, m/sec13.0 ± 2.715.4 ± 3.6<0.001
Systolic BP at ba PWV, mmHg117 ± 16127 ± 18<0.001
Diastolic BP at ba PWV, mmHg68 ± 1072 ± 10<0.002
Low-HDL, n (%)4 (2)1 (1)0.774
High-LDL, n (%)45 (23)24 (36)0.044
High-TG, n (%)12 (6)6 (9)0.436
Metabolic syndrome, n (%)3 (2)1 (1)0.979
Coronary artery disease, n (%)0 (0)0 (0)
Smoker, n (%)50 (26)13 (19)0.304
Hemoglobin Ale, %5.1 ± 0.35.2 ± 0.30.618
Blood sugar, mg/dl88 ± 1091 ± 130.015
Hemoglobin, g/dl13.2 ± 1.513.6 ± 1.30.061
HDL, mg/dl65 ± 1460 ± 130.013
LDL, mg/dl122 ± 35130 ± 290.084
TG, mg/dl88 ± 5195 ± 410.307
Creatinine, mg/dl0.60 ± 0.130.64 ± 0.210.061
eGFR, ml/min/1.73m293 ± 1785 ± 180.001
BNP, pg/ml16.4 ± 17.524.8 ± 24.70.003
LV dimensions, mm
Diastole, mm45.7 ± 3.645.5 ± 4.30.580
Systole, mm27.8 ± 3.727.2 ± 4.10.273
%fractional shortening, %39 ± 640 ± 70.363
Ejection fraction, %69 ± 770 ± 90.445
LV end-diastolic volume index, ml/m263 ± 1063 ± 130.701
LV mass index∗, g/m277 ± 1988 ± 23<0.001
Relative wall thickness0.36 ± 0.060.39 ± 0.07<0.001
LA dimension, mm34 ± 536 ± 50.027
Trans Mitral Velocity
 E velocity, cm/s69 ± 1663 ± 160.011
 A velocity, cm/s55 ± 1673 ± 25<0.001
 E/A ratio1.4 ± 0.51.0 ± 0.4<0.001
 E-DcT, ms192 ± 38224 ± 67<0.001
e'<0.001
 Septal9.6 ± 2.47.1 ± 2.8
 Lateral13.0 ± 3.49.8 ± 3.9<0.001
E/e'
 Septal7.5 ± 2.09.9 ± 3.6<0.001
 Lateral5.5 ± 1.57.4 ± 3.3<0.001

Values expressed as mean ± SD. Values in parentheses are percentages.

BMI, body mass index; BP, blood pressure; ba-PWV, brachial-ankle pulse wave velocity; HDL, high density lipoprotein; LDL, low density lipoprotein; TG, triglyceride; eGFR, estimated glomerular filtration rate; BNP, brain natriuretic peptide; LA, left atrial; E/A velocity, early and late left ventricular filling.

Comparison between the with diastolic dysfunction group and the without diastolic dysfunction group in normotensive subjects at the baseline. Values expressed as mean ± SD. Values in parentheses are percentages. BMI, body mass index; BP, blood pressure; ba-PWV, brachial-ankle pulse wave velocity; HDL, high density lipoprotein; LDL, low density lipoprotein; TG, triglyceride; eGFR, estimated glomerular filtration rate; BNP, brain natriuretic peptide; LA, left atrial; E/A velocity, early and late left ventricular filling.

Echocardiographic data

The echocardiographic parameters of the normotensive subjects are presented in Table 1. LV mass index, relative wall thickness, and LA dimension were higher in those with LV diastolic function than in those without LV diastolic function. LV dimension, %FS, LV ejection fraction, and LV diastolic volume were similar in the two groups. With respect to transmitral flow and tissue Doppler velocities, A velocity, E-DcT, and E/e’ were higher, while the E/A ratio and e’ were lower in subjects with LV diastolic dysfunction.

Aortic stiffness and LV diastolic dysfunction

In the enrolled subjects, there was a moderate correlation between ba-PWV and E/e’ as a diastolic dysfunction (r = 0.45, p < 0.001). The factors that independently E/e’ as a diastolic dysfunction are shown in Table 2 in the univariate and multivariate regression analyses. The multivariable-adjusted model showed that both aging and ba-PWV were independent factors for E/e’ in normotensive subjects. The independent predictors of LV diastolic dysfunction are shown in Table 3 in the multivariate logistic regression analysis. The multivariable-adjusted model found that only ba-PWV was an independent factor for LV diastolic dysfunction in normotensive subjects.
Table 2

Factors that independently E/e’ as a marker of diastolic dysfunction in normotensive subjects from univariate and multivariate regression model.

Univariate

Multivariate
ΒαR2PβαR2P
baPWV, m/sec2.270.350.236<0.001baPWV, m/sec−1.060.190.37<0.001
Age, yrs2.660.080.246<0.001Age, yrs0.040.009
BMI, kg/m25.140.090.0120.073BNP, pg/dl0.010.129
HR,/min7.95−0.010.0030.380eGFR, ml/min/1.73m20.010.391
BNP, pg/dl6.410.040.101<0.001LV mass index, g/m20.010.458
eGFR, ml/min/1.73m29.18−0.020.0320.003LA dimension, mm0.070.001
Glu, mg/dl4.720.030.0160.434
HDL-cho, mg/dl7.08<0.01<0.0010.990
LV mass index, g/m24.420.040.089<0.001
LA dimension, mm2.290.140.094<0.001

Ba-PWV, brachial-ankle pulse wave velocity; BMI, body mass index; HR, heart rate; BNP, brain natriuretic peptide;; eGFR, estimated glomerular filtration rate; HDL, high density lipoprotein; LA, left atrial; OR, odds ratio; CI, 95% confidence interval.

Table 3

Factors that independently diastolic dysfunction in normotensive subjects from univariate and multivariate logistic regression model.

Univariate

Multivariate

OR95%CIPOR95%CIP
ba PWV, m/sec1.26(1.15–1.38)<0.0011.29(1.06–1.56)0.008
Age, yrs1.06(1.04–1.09)<0.0011.01(0.97–1.05)0.552
Female0.92(0.50–1.70)0.7971.63(0.73–3.64)0.221
BMI, kg/m21.13(1.02–1.24)0.0161.12(0.98–1.27)0.087
Systolic BP at ba PWV, mmHg1.04(1.02–1.07)0.0010.99(0.95–1.02)0.520
Diastolic BP at ba PWV, mmHg1.04(1.01–1.08)0.0230.99(0.94–1.04)0.647
HR,/min0.99(0.96–1.02)0.5180.98(0.94–1.02)0.252
BNP, pg/dl1.02(1.00–1.03)0.0051.00(0.99–1.02)0.594
eGFR, ml/min/1.73m20.97(0.95–0.99)0.0020.99(0.97–1.01)0.491
Glu, mg/dl1.03(1.00–1.06)0.0271.02(0.99–1.05)0.285
HDL-cho, mg/dl0.97(0.95–1.00)0.0140.98(0.95–1.00)0.072
LV mass index, g/m21.03(1.01–1.04)<0.0011.02(1.00–1.03)0.080
LA dimension1.07(1.01–1.13)0.0280.96(0.90–1.04)0.304

Ba-PWV, brachial-ankle pulse wave velocity; BMI, body mass index; BP, blood pressure; BNP, brain natriuretic peptide;; eGFR, estimated glomerular filtration rate; HDL, high density lipoprotein; LA, left atrial; OR, odds ratio; CI, 95% confidence interval.

Factors that independently E/e’ as a marker of diastolic dysfunction in normotensive subjects from univariate and multivariate regression model. Ba-PWV, brachial-ankle pulse wave velocity; BMI, body mass index; HR, heart rate; BNP, brain natriuretic peptide;; eGFR, estimated glomerular filtration rate; HDL, high density lipoprotein; LA, left atrial; OR, odds ratio; CI, 95% confidence interval. Factors that independently diastolic dysfunction in normotensive subjects from univariate and multivariate logistic regression model. Ba-PWV, brachial-ankle pulse wave velocity; BMI, body mass index; BP, blood pressure; BNP, brain natriuretic peptide;; eGFR, estimated glomerular filtration rate; HDL, high density lipoprotein; LA, left atrial; OR, odds ratio; CI, 95% confidence interval.

Discussion

This study validated the evidence for an association between aortic stiffness measured using ba-PWV and LV diastolic dysfunction even in the normotensive population. Further, we found that ba-PWV is the predictive factor for the LV diastolic dysfunction even in the normotensive subjects. Before reaching this conclusion, we need to consider and discuss several issues appeared in the present study.

Validation of the assessment of aortic stiffness

First of all, we employed ba-PWV as an index of the aortic stiffness in the present study; however, carotid-Femoral PWV (cf-PWV) is the standard method for assessing aortic stiffness recommended in the ESC guideline and has been used to predict cardiovascular events in many studies [26]. In the Framingham studies, the elevation of aortic stiffness is reportedly linked to cardiovascular events, including myocardial infarction, unstable angina, HF, and cerebral infarction in community-based populations. Total 151 patients (6.8%) experienced cardiovascular events during a mean follow-up period of 7.8 years, suggesting that the aortic stiffness assessed using cf-PWV was an independent risk factor for cardiovascular events [27], although cf-PWV can be obtained only using an invasive and costly method. Recently, aortic stiffness using ba-PWV has been shown as an easier and non-invasiveness method that provides good correlation with cf-PWV using a catheter method [8]. In fact, Tanaka et al. reported a good correlation between cf-PWV and ba-PWV in 2287 subjects, and ba-PWV was a crucial predictor for cardiovascular events as well as cf-PWV [28], indicating that ba-PWV can be used as a better tool for assessing aortic stiffness in several community-based studies [7].

Association aging and diastolic dysfunction

Secondly, normal aging is associated with a number of changes in the heart and vascular system, especially slowing of LV relaxation which may lead to diastolic dysfunction. LV diastolic dysfunction is usually the result of impaired LV relaxation and LV chamber stiffness, which increase cardiac filling pressure. The mechanisms of diastolic dysfunction in healthy elderly appear to be due to in part to increased LV stiffness compared with younger individuals [29]. Yamakado et al. reported the filling abnormality was showed by Doppler parameters even in the normal subjects (over 60 years), but the data on aging and relaxation are not entirely consist across the studies [30]. Age should be considered when LV diastolic function is evaluated, however E/e’ is the less age-dependent marker [31].

How does stiff aorta induce LV diastolic dysfunction?

Thirdly, we need to consider how aortic property influences the LV diastolic function. It is reported that increasing aortic stiffness impairs Windkessel function and increases/decrease systolic/diastolic pressure [32]. Reduction in the diastolic pressure decreases the coronary flow, resulting in low myocardial perfusion, thus cuasing diastolic dysfunction due to impairment of myocardial microcirculation [33]. In addition, secondary wave reflection from the peripheral artery, which is ordinarily reached at diastole, was apparent in late systole, resulting in increased systolic pressure and pulse pressure. In a similar manner, increased aortic stiffness induces pulsatile load on the LV and LV wall stress [2,3,34] that raises myocardial cell hypertrophy and myocardial collagen, resulting in LV diastolic dysfunction [[34], [35], [36]]. In addition, increasing aortic stiffness changed the LV ejection phase and prolonged LV relaxation [37], affecting LV systolic pressure and systolic loading condition, and causing degenerative changes in the aorta [[38], [39], [40]]. Furthermore, arterial stiffness further increases with age, cardiometabolic abnormalities, and increased sodium intake, as seen in the pathophysiology of HFpEF [41]. In sum, ventricular-vascular uncoupling may lead to diastolic dysfunction [42]. Although this study did not include central aortic blood pressure, ba-PWV, as a marker of aortic stiffness, was associated with LV mass index in the normotensive population. Thus, increasing aortic stiffness caused LV hypertrophy and LV diastolic dysfunction even in a normotensive population.

What is the worsening of HFpEF?

The final issue is whether vascular abnormality per se causes HF. Milo-Cotter O et al. considered vascular disorder, which increasing systematic vascular resistance and systematic blood pressure caused by activation of neurohumural factors and cytokine, increased LV after load and led flash pulmonary edema especially in LV diastolic dysfunction [41]. This study indicated that increasing aortic stiffness was an important mechanism in worsening of HFpEF. Meguro et al. reported that ba-PWV, as a marker of aortic stiffness, predicted HF re-admission and mortality [7]. In a similar manner, Kawaguchi et al. concluded that deteriorated aortic stiffness and LV diastolic dysfunction led to worsening HFpEF, especially in elderly patients [[42], [44]]. In fact, increasing aortic stiffness was the crucial factor for hypertension and LV diastolic dysfunction, resulting in heart failure. In this study, we reported a clinical association between aortic stiffness and LV diastolic dysfunction, irrespective of blood pressure. We believe that early detection of increased aortic stiffness and prevention of worsening HF are crucial for improving the prognosis of HF patients with LV diastolic dysfunction.

Limitation

First, the number of enrolled subjects was relatively smaller than that in studies on the general population [[45], [46], [47]] as well as those conducted on subjects with LV diastolic dysfunction as per the criterion defined by Redfield et al. [43] and Walter et al. [[46], [48]]. The smaller sample size may have led to the overlooking of important factors for LV diastolic dysfunction other than PWV. However, we found that PWV is an important determinant of LV dysfunction, suggesting that we are able to test the working hypothesis. Secondly, the occurrence of masked hypertension in subjects is unclear based on medical records. Masked hypertension is defined as abnormal BP in the clinic, but high BP out of the clinic. In normotensive healthy workers in Japan, the prevalence was 7.2% (systolic) and 8.7% (diastolic) [49]. The subjects with masked hypertension had a higher LV mass and more carotid atherosclerosis than true normotensives, in the SHEAF study, which recruited elderly hypertensive on treatment, the hazard ratio for cardiovascular events was 2.06 in patients with masked hypertension [50]. Future studies are needed to investigate the association among masked hypertension, the increases in aortic stiffness and LV diastolic dysfunction. Thirdly, the definition of LV diastolic dysfunction is critical. This study intended community-based healthy population without history of HF, and the subjects with LV diastolic dysfunction using the same criterion was a mere 2%. When we defined LV diastolic dysfunction using a simple approach with echocardiographic assessment including mitral inflow [23] and Tissue Dopplar imaging as reported previously [24], 35% subjects had LV diastolic dysfunction; this prevalence was higher than that reported in other studies. Considering that the number of comorbidities of LV diastolic dysfunction, such as hypertension, coronary artery disease, and cardiac hypertrophy was larger than in other studies, the differences in the prevalence of LV dysfunction may be attributable to the difference in the study population.

Conclusion

Both aortic stiffness and LV diastolic function are closely associated in normotensive subjects, irrespective of the presence of the potential confounding factors. Hence, we need to pay special attention to patients with increased aortic stiffness with respect to the occurrence of HF even in the absence of hypertension.

Funding

Nothing to disclose

Declaration of competing interest

All co-authors of this manuscript have read and approved the submission of the manuscript. All of the authors have made an important contribution to the study and are thoroughly familiar with the original data. All authors have completed and submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest: Dr. Maeda have nothing to disclose; Dr. Kanzaki have nothing to disclose; Dr. Hasegawa reports other from Takeda Pharmaceutical Company Limited, other from Daiichi-Sankyo Company, Limited, other from Otsuka Pharmaceutical Co., Ltd., other from Bayer Yakuhin, Ltd, other from Mitsubishi Tanabe Pharma Corporation, other from Abbott Vascular Japan Co., Ltd., other from Shionogi & Co., Ltd.; Dr. Fukuda and Kim reports have nothing to disclose; Dr. Asakura reports grants from Acterion Pharmaceutical Japan, grants from Boehringer Ingelheim Japan, Inc., personal fees from Otsuka Pharmaceutical Co., Ltd., personal fees from Sanofi K·K., personal fees from Bayer Yakuhin, Ltd., personal fees from MSD K·K., personal fees from Takeda Pharmaceutical Company Limited., personal fees from Ono, personal fees from Mitsubishi Tanabe Pharma Corporation, personal fees from Daiichi-sankyo, personal fees from Pfizer Japan Inc., personal fees from Astellas Amgen Biopharma, outside the submitted work; Dr. Asanuma reports have nothing to disclose; Dr. Amaki reports grants from Japan Heart Foundation/Bayer Yakuhin Research Grant Abroad, grants from Suzuken Memorial Foundation, non-financial support from Abbott Vascular Japan, non-financial support from Takeda Pharmaceutical Company, outside the submitted work; Dr. Nishimura reports have nothing to disclose; Dr. Kitakaze reports grants and personal fees from Takeda, during the conduct of the study; grants from Japanese government, grants from Japan Heart Foundation, grants from Japan Cardiovascular Research Foundation, grants and personal fees from Asteras, grants and personal fees from Sanofi, personal fees from Daiichi-sankyo, grants and personal fees from Pfizer, grants and personal fees from Ono, personal fees from Bayer, grants and personal fees from Novartis, personal fees from Bheringer, grants and personal fees from Tanabe-mitubishi, personal fees from Kowa, grants and personal fees from Kyowa-hakko-kirin, personal fees from Dainihon-sumitomo, personal fees from Sawai, personal fees from MSD, grants and personal fees from Abott, grants and personal fees from Otsuka, grants from Calpis, grants from Nihon Kohden, personal fees from Shionogi, personal fees from Astrazeneca, personal fees from Asahikasei Med., personal fees from Novo nordisk, personal fees from Fuji-film RI, personal fees from Japan Medical Data, outside the submitted work.
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Journal:  Atherosclerosis       Date:  2003-02       Impact factor: 5.162

Review 2.  Recommendations for chamber quantification.

Authors:  Roberto M Lang; Michelle Bierig; Richard B Devereux; Frank A Flachskampf; Elyse Foster; Patricia A Pellikka; Michael H Picard; Mary J Roman; James Seward; Jack Shanewise; Scott Solomon; Kirk T Spencer; Martin St John Sutton; William Stewart
Journal:  Eur J Echocardiogr       Date:  2006-02-02

3.  Pharmacologic and hemodynamic influences on the rate of isovolumic left ventricular relaxation in the normal conscious dog.

Authors:  J S Karliner; M M LeWinter; F Mahler; R Engler; R A O'Rourke
Journal:  J Clin Invest       Date:  1977-09       Impact factor: 14.808

4.  Age- and gender-related ventricular-vascular stiffening: a community-based study.

Authors:  Margaret M Redfield; Steven J Jacobsen; Barry A Borlaug; Richard J Rodeheffer; David A Kass
Journal:  Circulation       Date:  2005-10-03       Impact factor: 29.690

5.  Echocardiographic reference ranges for normal cardiac Doppler data: results from the NORRE Study.

Authors:  Luis Caballero; Seisyou Kou; Raluca Dulgheru; Natalia Gonjilashvili; George D Athanassopoulos; Daniele Barone; Monica Baroni; Nuno Cardim; Jose Juan Gomez de Diego; Maria Jose Oliva; Andreas Hagendorff; Krasimira Hristova; Teresa Lopez; Julien Magne; Christophe Martinez; Gonzalo de la Morena; Bogdan A Popescu; Martin Penicka; Tolga Ozyigit; Jose David Rodrigo Carbonero; Alessandro Salustri; Nico Van De Veire; Ralph Stephan Von Bardeleben; Dragos Vinereanu; Jens-Uwe Voigt; Jose Luis Zamorano; Anne Bernard; Erwan Donal; Roberto M Lang; Luigi P Badano; Patrizio Lancellotti
Journal:  Eur Heart J Cardiovasc Imaging       Date:  2015-04-20       Impact factor: 6.875

6.  Doppler tissue imaging: a noninvasive technique for evaluation of left ventricular relaxation and estimation of filling pressures.

Authors:  S F Nagueh; K J Middleton; H A Kopelen; W A Zoghbi; M A Quiñones
Journal:  J Am Coll Cardiol       Date:  1997-11-15       Impact factor: 24.094

7.  Effect of aging and physical activity on left ventricular compliance.

Authors:  Armin Arbab-Zadeh; Erika Dijk; Anand Prasad; Qi Fu; Pilar Torres; Rong Zhang; James D Thomas; Dean Palmer; Benjamin D Levine
Journal:  Circulation       Date:  2004-09-13       Impact factor: 29.690

8.  Prevalence of left ventricular diastolic dysfunction in a general population.

Authors:  Tatiana Kuznetsova; Lieven Herbots; Begoña López; Yu Jin; Tom Richart; Lutgarde Thijs; Arantxa González; Marie-Christine Herregods; Robert H Fagard; Javier Díez; Jan A Staessen
Journal:  Circ Heart Fail       Date:  2009-02-10       Impact factor: 8.790

9.  Impact of arterial load and loading sequence on left ventricular tissue velocities in humans.

Authors:  Barry A Borlaug; Vojtech Melenovsky; Margaret M Redfield; Kristy Kessler; Hyuk-Jae Chang; Theodore P Abraham; David A Kass
Journal:  J Am Coll Cardiol       Date:  2007-10-01       Impact factor: 24.094

10.  Revised equations for estimated GFR from serum creatinine in Japan.

Authors:  Seiichi Matsuo; Enyu Imai; Masaru Horio; Yoshinari Yasuda; Kimio Tomita; Kosaku Nitta; Kunihiro Yamagata; Yasuhiko Tomino; Hitoshi Yokoyama; Akira Hishida
Journal:  Am J Kidney Dis       Date:  2009-04-01       Impact factor: 8.860

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1.  Association between metabolic syndrome and left ventricular geometric change including diastolic dysfunction.

Authors:  Seung-Jae Lee; Hyunah Kim; Byeong Kil Oh; Hyo-In Choi; Ki-Chul Sung; Jeonggyu Kang; Mi Yeon Lee; Jong-Young Lee
Journal:  Clin Cardiol       Date:  2022-05-03       Impact factor: 3.287

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