Sex differences in left ventricular afterload and diastolic function are independent from the aortic size

Abstract

Background

Women have a greater risk of heart failure with preserved ejection fraction (HFPEF) than men do, yet the basis for this disparity remains unclear. Greater arterial stiffness and afterload causes left ventricular (LV) diastolic dysfunction, a central mechanism of HFPEF. Because of smaller body habitus, previous reports have used body surface area as a surrogate of the size of the aorta. We performed a comprehensive hemodynamic evaluation of elderly patients with preserved EF and evaluated sex differences in the associations between LV function and afterload, before and after adjusting for the aortic sizes.

Methods and results

Four hundred and forty-three patients (mean age: 73 years, 169 women) who underwent clinically indicated echocardiography and computed tomography (CT) were identified. Linear regression analyses were performed to assess the independent contributions of sex to and its interaction with LV function before and after adjusting for CT-derived aortic length and volume. Although blood pressures were similar between the sexes, women had greater arterial elastance, lower arterial compliance, and greater LV ejection fraction (all p<0.001). Sex differences were detected in the associations between LV afterload and relaxation (mitral e′) as well as in the left atrial (LA) emptying fraction, but not in LA size. These differences remained significant after adjusting for the aortic length and volume. Sensitivity analyses in an age-matched subgroup (n = 324; 162 of each sex) confirmed the robustness of these sex disparities in LV diastolic function and afterload.

Conclusion

Women had worse LV relaxation than men did against the same degree of afterload, before and even after adjusting for the aortic sizes.

About the Authors:

Hidemi Sorimachi

Roles Data curation, Formal analysis, Writing – original draft, Writing – review & editing

Affiliation: Department of Medicine and Biological Science, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan

Koji Kurosawa

Roles Data curation, Writing – review & editing

Affiliation: Department of Medicine and Biological Science, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan

ORCID logo http://orcid.org/0000-0003-1715-085X

Kuniko Yoshida

Roles Data curation, Writing – review & editing

Affiliation: Department of Medicine and Biological Science, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan

Masaru Obokata

Roles Validation, Writing – review & editing

Affiliation: Department of Medicine and Biological Science, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan

Takashi Noguchi

Roles Data curation

Affiliation: Department of Radiology, Maebashi Red Cross Hospital, Maebashi, Gunma, Japan

Minoru Naka

Roles Data curation, Methodology

Affiliation: Department of Radiology, Maebashi Red Cross Hospital, Maebashi, Gunma, Japan

Shoichi Tange

Roles Data curation, Writing – review & editing

Affiliation: Department of Cardiovascular Medicine, Maebashi Red Cross Hospital, Maebashi, Gunma, Japan

Masahiko Kurabayashi

Roles Funding acquisition, Supervision, Writing – review & editing

Affiliation: Department of Medicine and Biological Science, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan

Kazuaki Negishi

Roles Conceptualization, Formal analysis, Supervision, Writing – review & editing

* E-mail: [email protected]

Affiliations Department of Medicine and Biological Science, Gunma University Graduate School of Medicine, Maebashi, Gunma, Japan, Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia, Sydney Medical School Nepean, Charles Perkins Centre Nepean, University of Sydney, New South Wales, Australia

ORCID logo http://orcid.org/0000-0002-9086-2565

Introduction

Heart failure (HF) is a major clinical and public health problem owing to its high prevalence, mortality, hospitalization, and healthcare expenditures.[1] Relative prevalence of HF with preserved ejection fraction (HFPEF) to HF with reduced EF (HFREF) is rising over time; yet the survival in HFPEF has remained dismal due to the lack of proven therapies. Several large clinical trials for HFPEF have demonstrated neutral results.[2–4] Further elucidation of the mechanisms underlying HFPEF may aid in identifying a novel therapeutic target.

Women have an approximately two-fold increased risk of developing HFPEF compared to men[5] but little is known about the precise mechanisms for this increase. Although the prevalence of HFPEF is higher in women than in men at any given age, the prevalence of HFPEF increases more rapidly with age than did the prevalence of HFREF[6]. Therefore, elderly women have a greater risk of HFPEF. Arterial stiffness augments central aortic pressure wave and increases left ventricular (LV) afterload, and thus may promote impaired diastolic function. Previous studies have shown that independent interaction of sex on the associations between afterload and diastolic functional responses after adjusting for body surface area (BSA), based on the assumption that BSA is a reasonable surrogate for the aorta size.[7, 8] Since the aorta serves both as a conduit for delivering blood to peripheral organs and as a cushion for buffering the pulsatile pressure and flow from the heart, directly measured aortic length and volume would serve as more accurate physiological indices, but there are few studies that have used such a detailed examination. We hypothesized that the sex difference in the relationships between left ventricular afterload and diastolic function would be independent from the differences in aorta size. Accordingly, the aims of this study were to confirm the sex difference in the associations between LV (systolic and diastolic) functions and afterload in our population, and then to elucidate whether these differences remain significant after adjusting for the aortic length and volume.

Materials and methods

Subjects

In this retrospective, cross-sectional study, all patients who had undergone clinically indicated echocardiography and computed tomography (CT) within a 12-month period were screened for eligibility. Of 848 patients who had echocardiography and CT from October 2012 to July 2014 at Maebashi Red Cross Hospital, Gunma, Japan, 405 were excluded for the following reasons: reduced LVEF (<45%) (n = 79), atrial fibrillation (n = 122), greater than mild mitral valvular heart disease (n = 28), greater than mild aortic valvular heart diseases (n = 34), LV asynergy (n = 41), heart failure (n = 47), chronic renal failure on hemodialysis (n = 53) and poor echocardiographic image quality (n = 1), leaving 443 participants for the final analyses. Their clinical indications for echocardiography were: to assess cardiac function (n = 372), to rule out infective endocarditis (n = 27) or intracardiac thrombosis (n = 29), and to assess valvular disease (= 15). The clinical indications for CT were to assess thoracic disease (n = 114), abdominal disease (n = 156), vessel disease(n = 34), hematologic disease(n = 10), fever of unknown origin(n = 36), pulmonary embolism or deep venous thrombosis(n = 16) and others(n = 77).

We also performed sensitivity analyses using 324 age-matched subjects (162 men and 162 women), in which each consecutive female subject was matched to a male participant of the same age (1:1). If an exact age match could not be found, the male subject closest in age to the female subject’s (within a 5-year difference) was selected.

The institutional medical ethics committee of the Maebashi Red Cross Hospital approved the study protocol with a waiver of the requirement to obtain informed consent (IRB number: 26–25).

Two-dimensional and Doppler echocardiography

Two-dimensional echocardiography was performed using a commercially available ultrasound system (Vivid E9, GE healthcare, Milwaukee, Wisconsin). Standard two-dimensional measurements, including of systolic and diastolic functions, were obtained as recommended by the American Society of Echocardiography.[9, 10] Mitral inflow velocities were recorded, and the following variables were obtained: peak velocity of early diastolic mitral inflow (E), late diastolic mitral inflow (A), and the deceleration time of the E velocity. Mitral annular velocities were measured with spectral Doppler. Early diastolic mitral annular (e′), late diastolic (a′) and systolic velocities (s′) of the mitral annulus were measured from the apical 4-chamber view with a 2- to 5-mm sample volume placed at the septal and lateral corners of the mitral annulus, then averaged. The E/e′ ratio was used to estimate the LV filling pressure. Left atrial volumes (LAVs) were measured using the area-length method from the 4- and 2-chamber views and subsequently indexed (LAVI) by BSA.[11] LA emptying fraction was defined as (end-systolic LAV–end-diastolic LAV) / end-systolic LAV × 100.[12]

Measurement of hemodynamics

The following hemodynamic parameters were estimated non-invasively. Mean arterial pressure was calculated using systolic (SBP) and diastolic blood pressures (DBP), as [(2 × DBP) + SBP] / 3. Brachial pulse pressure (PP) was calculated as brachial SBP–DBP. Total afterload was defined by the arterial elastance (Ea) (0.9 × systolic BP / SV).[13–15] The systemic vascular resistance index (SVRI), the non-pulsatile component of afterload,[16] was determined by dividing the mean BP / cardiac index × 79.9.[17] Total arterial compliance (TAC) was estimated by the ratio of SV to PP,[18] which is the change in arterial blood volume due to a given change in pulsatile arterial blood pressure.[19] Brachial-ankle pulse wave velocity (baPWV) data, using commercially available brachial artery tonometry (Omron Colin Co., Tokyo, Japan), was available in a subgroup of 100 patients and used as a parameter of arterial stiffness. The measurements were obtained in the supine position after a minimum of 5 minutes of rest.

Measurement of aortic length and volume

Patients underwent imaging using standard commercially available CT scanners (Aquilion 64-slice; TOSHIBA or SIEMENS SOMATOM Definition Flash 128-slice; Siemens Medical Solution or SIEMENSE SOMATOM Emotion 16-slice; Siemens Medical Solution). Scanning from the neck to the pelvis was initiated in the cranio-caudal direction during a single inspiratory breath hold. Prospectively triggered axial or retrospectively gated spiral data were acquired. The tube voltage ranged from 120 to 130 kVp; tube current was adjusted by patient weight; and a beam pitch of 0.8 was used.[20–22]

Subsequently, with commercially available software (Zaiostation2, Ziosoft, Tokyo, Japan), advanced offline 3-dimensional post-processing of CT images was performed using multi-planar and maximum intensity projections. Aortic length was measured by manually plotting the center of the vessel lumen from the ST junction to the aortic bifurcation (Fig 1A). Then, aortic volume was assessed by tracing the aortic intramembrane border on about 20 slices from the ST junction to the aortic bifurcation on axial-plane images and calculating the volume using reconstructed three-dimensional data (Fig 1B).

[Figure omitted. See PDF.]

Fig 1. Measurement of the aortic length and volume with computed tomography.

(A)The aortic length is measured by plotting the center of the vessel lumen from the ST junction to the aortic bifurcation. (B) The aortic volume is measured by tracing the arterial intima (in green) on about 20 slices from the ST junction to the aortic bifurcation on an axial-plane image, and then the volume is calculated using reconstructed data.

https://doi.org/10.1371/journal.pone.0214907.g001

Reproducibility of aortic length and volume

The reproducibility of the aortic length and volume measurement was assessed in 20 randomly selected patients. Intra-observer agreement was evaluated after the same observer (H.S.) repeated the measurements 4 weeks later, and inter-observer agreement was tested by comparing the measurement made by another experienced reader (M.N.). The intraclass correlation coefficients for intra-observer and inter-observer agreement for aortic length were 0.94 and 0.89. The intraclass correlation coefficients for intra-observer and inter-observer agreement for aortic volume were 0.99 and 0.98. The coefficient of variations for aortic length were 1.4% (for intra-observer) and 2.3% (for inter-observer), while those for aortic volume were 2.4% and 3.2%, respectively.

Statistical analysis

All continuous variables are presented as mean ± standard deviation (SD) or median (25th and 75th percentile), as appropriate. Categorical variables are presented as absolute and relative frequencies (%). Normality was evaluated using the Shapiro-Wilk W test. e′, E/e′, and LAVI were log-transformed when put into the models based on their distributions. Differences between sexes were compared by the Student t test, the χ2 test, or the Mann-Whitney U-test, as appropriate.

To determine the associations of the indices of afterload/arteriosclerosis (SBP, mean BP, PP, Ea, SVRI, arterial compliance, aortic calcification, LV mass index, and baPWV) with LV function (log-transformed e′ velocity, E/e′, LAEF, LAVI, LVEF, and s’) for each sex, sex-specific single linear regression analyses were performed. Multivariable linear regression analyses were performed to assess the independent contributions of sex to LV functions. Then, linear regression models with an interaction term were performed to determine the effect of sex differences on the associations between afterload and LV functions or anatomy. Homoscedasticity of the errors and normality of the error distributions were checked in residual plots. We assessed whether there was a sex interaction in the relationship between afterload and LV function before and after adjusting for aortic size (aortic length and volume). A two-sided p value of <0.05 was considered statistically significant. All data were analyzed using SPSS version 21.0 (SPSS Inc., Chicago, IL, USA).

Results

Patient characteristics

Baseline characteristics by sex for the whole population and the age-matched population are summarized in Table 1. In the whole population, women tended to be older, but not significantly (74 vs 72, p = 0.062). All physical parameters were significantly smaller in women than in men except for body mass index. Diabetes mellitus and ischemic heart disease were more common in men. Although the serum creatinine level was higher in men, both sexes shared a similar estimated glomerular filtration rate. Approximately a half of them (n = 227) had BNP levels, where women had higher BNP than men. No differences were found in their medication use. Among the hemodynamic parameters, heart rate was higher in women than in men, although the systolic, diastolic, and mean BPs, PP, and SVRI were similar. Women had higher Ea and lower TAC than men did. These differences were also observed in the age-matched population, except for BNP level, which was similar between the sexes.

[Figure omitted. See PDF.]

Table 1. Clinical characteristics of WHOLE sample and AGE-MATCED sample.

https://doi.org/10.1371/journal.pone.0214907.t001

Findings from cardiovascular imaging modalities

Table 2 summarizes findings from echocardiography and CT. Even after indexing to BSA, female patients had smaller LV sizes and stroke volume indices than male patients did. LVEFs were within the normal ranges but higher in women than in men. With respect to diastolic function, women had higher E/e′ ratios, slower e′s, and smaller LAEFs. The aortic length was shorter in women than in men (45.4 ± 3.4 cm vs. 49.7 ± 3.5, p<0.001). Aortic volume was smaller in women than in men (167 ± 43 ml vs. 219 ± 56 ml, p<0.001). Findings from the age-matched population were consistent with these findings. Aorta length and BSA had weak associations in both sex (women: r = 0.18, p = 0.021, men: r = 0.21, p<0.001), as well as aorta volume did (women: r = 0.11, p = 0.053, men: r = 0.22, p<0.001) (Fig 2).

[Figure omitted. See PDF.]

Fig 2. Association of aorta size and body surface area (BSA).

The association with aorta length and BSA is illustrated in panel A, that with aorta volume and BSA in panel B. There were significant but weak associations between BSA and aortic sizes.

https://doi.org/10.1371/journal.pone.0214907.g002

[Figure omitted. See PDF.]

Table 2. Findings from cardiovascular imaging modalities (echocardiography and CT).

https://doi.org/10.1371/journal.pone.0214907.t002

Sex differences in the associations between afterload parameters and cardiac functions

Sex-specific associations between the afterload markers and cardiac anatomy or mechanics in the whole population are summarized in Table 3. Significant sex differences were confirmed in the associations between e′ and the indices of afterload, except for Ea (Fig 3), where women had lower e’ than men to the similar level of afterload. These differences remained significant after adjusting for aortic length and volume except for SVRI. Significant interactions were also noted between E/e’ and systolic or mean BP, even after adjusting for the aortic length or volume. Among LA parameters, interactions were observed between LA function (i.e. LAEF) and BPs but not between LA volume and afterload markers. Intriguingly, significant associations between LV systolic function (i.e. LVEF) and several afterload parameters (diastolic BP, mean BP, Ea, SVRI, and TAC) were seen only in men but none in women. Then, sex differences were seen in the relationships between LVEF and Ea or SVRI, which remained significant after adjusting for the aortic sizes. Collectively, LV diastolic function and afterload parameters had stronger association in women than men even after adjusting for the aorta sizes. Whereas men had stronger association between LV systolic function and afterload than women, regardless of adjusting for the aortic sizes or not.

[Figure omitted. See PDF.]

Fig 3. Interactions by sex for the associations between ln e′ and afterload in the whole population.

The association of the log-transformed e′ against systolic blood pressure (BP) is illustrated in A, against diastolic BP in B, against mean BP in C, against pulse pressure in D, against Ea in E, against SVRI in F, against TAC in G, and against LVMI in H. Ea, arterial elastance; LVMI, left ventricular mass index; SVRI, systemic vascular resistance index; TAC, total arterial compliance.

https://doi.org/10.1371/journal.pone.0214907.g003

[Figure omitted. See PDF.]

Table 3. Sex specific linear regression analysis and sex differences in associations between afterload and cardiac function in WHOLE sample.

https://doi.org/10.1371/journal.pone.0214907.t003

The results from the sensitivity analyses in the age-matched population are reported in Table 4 and Fig 4. In general, findings from this subgroup corroborated above findings from the whole population. Sex differences observed in the age-matched cohort were in the associations between e′ and BPs (p<0.05 for BPs with borderline significance in pulse pressure, p = 0.051 ~ 0.053), but not with SVRI and TAC, irrespective of adjustment for the aortic sizes. Of note, the independent sex difference between E/e′ and diastolic BP after adjusting for the aortic length was confirmed in this age-matched cohort (p = 0.049), but with borderline significance after adjusting for the aortic volume (p = 0.051). Sex differences between LAEF and BPs remained significant, but not those with other afterload markers. No sex differences between LA size and afterload were corroborated. Regarding LV systolic function, the sensitivity analyses supported all of the findings in the whole population. Significant sex differences between LVEF and afterload parameters were found, in which there was an inverse linear association between LVEF and Ea only in men but not in women, with a significant sex interaction before and after adjusting for the aortic length (p = 0.018 and 0.017, respectively) and for the aortic volume (p = 0.010). Similar sex differences were found in the relationship between LVEF and SVRI before (p = 0.021) and after adjusting for the aorta sizes (aorta length; p = 0.020, aorta volume; p = 0.008). These finding were also confirmed in the models adjusted for height and weight (Table 5)

[Figure omitted. See PDF.]

Fig 4. Interactions by sex for the associations between ln e′ and afterload in the age-matched population.

The association of the log-transformed e′ against systolic blood pressure (BP) is illustrated in A, against diastolic BP in B, against mean BP in C, against pulse pressure in D, against Ea in E, against SVRI in F, against TAC in G, and against LVMI in H. Abbreviations are in Fig 2.

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[Figure omitted. See PDF.]

Table 4. Sex specific univariable linear regression analysis and sex differences in associations between afterload and cardiac function in AGE-MATCHED sample.

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[Figure omitted. See PDF.]

Table 5. Sex specific linear regression analysis and sex differences in associations between afterload and cardiac function in WHOLE sample.

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Among the subgroup of patients with baPWV (n = 69, male; 44, female; 25), we observed similar associations: significant relationship between baPWV and e’ in women but not in men. However, the interaction was not statistically significant (p = 0.19), presumably due to less statistical power. In addition, the strongest determinants of the aortic size were BSA for the aortic length and age for the aortic volume (Table 6).

[Figure omitted. See PDF.]

Table 6. The association with aorta size (Aortic length and volume).

https://doi.org/10.1371/journal.pone.0214907.t006

Discussion

This is the first study which assessed whether the aortic size alters the magnitude of sex difference between LV diastolic function and afterload. Through a comprehensive hemodynamic evaluation of elderly patients with preserved EF, we found 1) that only weak associations were found between BSA and the aortic sizes (length and volume) measured with CT; 2) that we confirmed statistically significant sex differences in the relationships between LV diastolic function and afterload in our population; 3) that adjusting for the aortic sizes had minimal effects on the sex dimorphism; 4) that sex differences were independent from the aortic sizes, more accurate anatomical parameters of the vascular sizes; and 5) that among the afterload parameters, aggressive BP lowering would be more beneficial in women than in men because sex difference was more prominent between diastolic function and BPs.

Sex differences between LV diastolic function and afterload

Although male sex is a risk factor for many cardiovascular diseases, women outnumber men with HFPEF by a 2:1 ratio.[23, 24] Previous studies have shown sex differences between LV diastolic function and afterload in smaller populations with different perspectives.[8, 19] Shim et al. reported a sex disparity in the relationship between PP amplification and e′ or E/e′ among 158 age-matched subjects (79 men and 79 women).[8] Coutinho et al. demonstrated a sex difference in the association between the E/A ratio and afterload (i.e., TAC or aortic impedance) among 461 non-heart failure participants.[19] Our study corroborated these findings in a larger sample of non-heart failure population with preserved EF in order to avoid the contaminating effects from reduced EF, where women had slower LV relaxation (e′), higher filling pressure (E/e′), and lower LA function (LAEF). This was supported by higher serum BNP levels in women than in men. Intriguingly, there were discrepancies among these diastolic functional parameters between the sexes. Statistically significant interactions by sex were detected in functions but not in LA size. This could be due to our cross-sectional study design, because LA volume reflects chronic LA pressure overload and would be less sensitive to instantaneous changes in hemodynamics.[25]

In this study of elderly people with preserved EF, although BPs were similar between the sexes, women had greater afterload (Ea and TAC) as well as more deteriorated diastolic function. This finding supports a previous report that advanced age and female sex were associated with increases in vascular and ventricular stiffness, even in the absence of cardiovascular diseases.[26] Furthermore, we focused on elderly people because aging is an independent risk factor for both types of HF[27]. However, it is noted that a southwestern European community study reported that the prevalence of HFPEF increased more rapidly with age than did the prevalence of HFREF.[6]

Next, there were two intriguing findings on LVEF in this study. A greater LVEF was observed in women, consistent with a report from the Dallas Heart Study,[28] which also suggested different normal ranges for LVEF. The other finding was that associations between LVEF and afterload were only significant among men. In other words, there were no relationships between LVEF and afterload markers in women, suggesting that LVEF may not be a sensitive parameter of afterload burden in women. Collectively, a greater impairment in diastolic function among elderly women with increased afterload may possibly contribute to greater susceptibility to HFPEF, though further study is warranted.

This was the first study to focus on the aortic length and volume as measured by CT in order to determine whether there was significant effect modification by sex on the effects of afterload on LV diastolic function even after adjusting for the disparity in body size by sex. Previous studies have tested independent associations after adjusting for body surface area (BSA), based on the assumption that BSA is a reasonable surrogate for aortic length[7, 8] although little is known about the strength of the association between BSA and aortic volume/length. Furthermore, BSA is only one of the factors affecting the aortic size.[29, 30] Indeed, BSA and aorta size had only weak association in both men and women in this study. Thus, we thought it is more reasonable adjusting for the aorta sizes considering the mechanism underlying the arterial wave reflections and function of buffering pulsatile pressure from the heart. [31] Because sex difference between LV diastolic function and afterload remained significant after adjusting for aorta size, the differences in the conduit size did not fully account for the sex difference in the relationship between afterload and LV relaxation.

Study limitations

Some limitations should be noted for this study. Firstly, this was a retrospective, cross-sectional study performed in a single tertiary institution and in a population with a single ethnicity. It therefore may have inherent flaws related to selection bias, spurious observations, and unmeasured covariates. Due to the retrospective nature of the data collection, several pieces of information were not available, including history of physical exercise and precise reason/s for BNP measurements. Thus, further prospective, multicenter and multi-ethnicity studies are warranted. Secondly, we calculated hemodynamic parameters with BP measured at a peripheral artery, where these parameters might be different from true central hemodynamics.[32, 33] The lack of a central hemodynamic data might make these results linked to a high variability. However, sex differences were the most frequently found in BPs. Thirdly, we used the aortic sizes as vascular surrogate of the body size related reflected wave, but we did not measure reflected wave itself. Therefore, we couldn’t elucidate directly that gender difference was associated with reflected wave. However, we observed similar association between e’ and baPWV, where only women had a significant association but this was not seen in men although the interaction was not significant due to smaller sample size (n = 69) and less statistical power. Also, because we excluded patients with atrial fibrillation, our results cannot be readily applicable to those patients. In addition, although our patients’ body sizes were normal for Asians, our population had a smaller overall body size (mean body mass index, 22.4± 3.8kg/m2) than that in Western populations.[19, 34] Nevertheless, our findings on the relationship between afterload and diastolic function were generally similar to those reported in past studies using patients with larger body sizes.[19, 34] Furthermore, the population of this study were not normal but aged and diseased samples, who had clinical indications for taking CT and echocardiography. They might not reflect the normal physiology; however, this means they were at Stage A or B HF patients, which would be a reasonable target to be investigated because of the risk of subsequent obvert HF. Finally, half of the CT images were performed without contrast, which may limit the accuracy of the aortic volume assessment, but the effect should be minimal on the aortic length, where most of the findings were consistent between the volume and length. Despite these limitations, this is the first report to show significant sex differences between diastolic function and afterload before and after adjusting for the aortic sizes.

Conclusions

Significant sex differences in the relationships between LV diastolic functions and afterload were confirmed in elderly patients with preserved ejection fraction. Women had worse LV relaxation compared to those in men with the same degree of afterload, before and after adjusting for the aortic sizes.

Acknowledgments

We thank Ms. Khairunnessa Rahman for her proof reading and editorial support.

Citation: Sorimachi H, Kurosawa K, Yoshida K, Obokata M, Noguchi T, Naka M, et al. (2019) Sex differences in left ventricular afterload and diastolic function are independent from the aortic size. PLoS ONE 14(4): e0214907. https://doi.org/10.1371/journal.pone.0214907

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