Assessment of Ventricular-Arterial Coupling in Early Stage Middle-Aged Hypertensives

Assessment of Ventricular-Arterial Coupling in Early Stage Middle-Aged Hypertensives | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Assessment of Ventricular-Arterial Coupling in Early Stage Middle-Aged Hypertensives Andrea Vitali, Giuseppe Biondi Zoccai, George Booz, Raffaele Altara This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6189873/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 10 You are reading this latest preprint version Abstract BACKGROUND. Ventricular-arterial coupling (VAC) is altered by aging and cardiovascular comorbidities, indicating myocardial dysfunction and/or arterial stiffness. Our aim was to demonstrate whether lifestyle changes and anti-hypertensive drug treatment would improve VAC in recently diagnosed, early stage middle-aged hypertensives (HTN) without organ damage. METHODS. Arterial elastance (Ea), carotid-femoral pulse wave velocity (cfPWV), global longitudinal strain (GLS), and myocardial work (MW) [global work index (GWI), global constructive work (GCW), global wasted work (GWW), and global work efficiency (GWE)] were investigated. This retrospective observational study involved 126 individuals (mean age 40 years; 55% female), divided into HTN and normotensives, NT. Clinical, echocardiographic and echo vascular parameters were assessed. Lifestyle changes were recommended for HTN. If blood pressure (BP) values still remained high, anti-hypertensive drug treatment was administered. RESULTS. Higher values of systolic blood pressure (SBP), mean arterial pressure (MAP), heart rate (HR), GWI, GCW, and GWW were observed in HTN. By following lifestyle changes, BP [diastolic blood pressure (DBP) and MAP], HR, VAC, Ea, cfPWV, GWE, and GLS were changed in HTN; after 6 months of anti-hypertensive drug treatment, BP (SBP, DBP and MAP), HR, VAC, Ea, cfPWV, GWI, GCW, GWW, GWE, and GLS were found to be changed. VAC was linearly related to cfPWV and GLS at two follow ups. No statistically significant difference in VAC between HTN and NT was found. CONCLUSIONS. Along with a decrease in BP, smoking cessation, and HR control highlighted a significant role in cardiovascular prevention by improvement of VAC, Ea, cfPWV, GLS and MW. Health sciences/Medical research Health sciences/Health care arterial elastance arterial hypertension pulse wave velocity global longitudinal strain myocardial work. Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Summary table What is known about the topic The coupling between the heart and arteries, ventricular-arterial coupling (VAC), is a measure of overall cardiovascular performance and efficiency. Changes in VAC can indicate underlying heart or vascular problems. However, there is a lack of studies on VAC in young hypertensives without cardiovascular risk factors. No study has demonstrated the relevant impact of lifestyle changes and pharmacological treatment on VAC in young hypertensives without organ damage. What this study adds This study investigated VAC in young (30-49 year-old) hypertensives without organ damage vs age-matched healthy people, by assessing pulse wave velocity (PWV) and global longitudinal strain (GLS); in addition arterial elastance (Ea) and mechanical work (MW) were also investigated. At an early stage of hypertension three mechano-energetic components of MW, global work index (GWI), global constructive work (GCW), and global wasted work (GWW) were increased, with no signs of overt cardiovascular disease. VAC, Ea, PWV, and GLS did not differ between the two groups indicating no overt dysfunction in arterial stiffness or myocardial contraction. However, lifestyle changes and pharmacological treatment improved all the aforementioned parameters, giving additional support for early intervention in hypertension. Introduction Ventricular-arterial coupling (VAC), defined as the ratio of two elastances, represents the relationship between the heart and the arterial system. This parameter (measured invasively or non-invasively) is altered by aging and following cardiovascular pathologies, indicating a deterioration of ventricular contractile function (myocardial dysfunction) and/or a stiffening of the arterial system (arterial stiffness). VAC can be calculated by various mathematical formulas, one of which is given by the ratio between the velocity of the arterial pressure wave (pulse wave velocity, PWV), estimated by various methods – including by vascular ultrasound through carotid-femoral pulse wave velocity (cfPWV) – and myocardial contractility, assessed through echocardiographic calculation of global ventricular deformation (global longitudinal strain, GLS). 1 As myocardial work (MW) represents the force that the heart exerts, by means of the contraction of cardiomyocytes, its assessment offers an additional means to evaluate cardiac performance in relation to energy expenditure, influenced by arterial afterload (aortic pressure) and stroke volume (SV), across various clinical scenarios. 2 This retrospective observational pilot-study was focused on middle-aged individuals recently diagnosed with early-stage hypertension [Stage I according to the 2024 European Society of Cardiology (ESC) guidelines] without organ damage (Suppl. Figures 1 & 2). Given that the parameters VAC, cfPWV, GLS, arterial elastance (Ea) and MW [in all its components: global work index (GWI), global constructive work (GCW), global wasted work (GWW), and global work efficiency (GWE)] have been primarily studied in cardiovascular diseases of aged populations, we sought to demonstrate whether these parameters were also altered in the early stages of arterial hypertension in middle-aged individuals. Additionally, we assessed whether normalization of blood pressure (BP) through lifestyle changes and/or anti-hypertensive drug treatment would lead to normalization of these parameters. 3 – 5 Material and Methods Study design : This was a retrospective observational study. The medical records for three years (from 1 March 2021 to 1 March 2024) were screened in the Terni Health District and in other public health districts of the Umbria region (Italy). The study was approved by the Umbria Regional Ethics Committee (protocol nr. 4744/24) and by the Asl Umbria 2 (by executive decision nr. 0003982). The primary outcome was to evidence that lifestyle changes and antihypertensive therapy normalize the ultrasound parameter VAC in recently diagnosed, early stage hypertensives (HTN) without organ damage. The secondary outcomes were (a) demonstration that the non-invasively assessed ultrasound parameters - VAC, Ea, cfPWV, GLS, MW - show worse values in recently diagnosed early-stage HTN without organ damage compared to healthy individuals (normotensives, NT), and (b) demonstration that lifestyle changes and antihypertensive therapy normalize the parameters Ea, cf PWV, GLS, MW. Study protocol : The study is divided in two parts. In the first part, recently diagnosed middle-aged early stage HTN, diagnosed within 3 months of the first cardiological visit without organ damage, were compared to NT. Selected patients were divided into two groups: group A (HTN) and group B (NT) at day 0 (zero). Both groups had the same range of age (30-49 years old), sexes and were enrolled by inclusion and exclusion criteria. In the second part, only HTN were investigated by the 2 nd and 3 rd cardiological visits (two 6 months follow-ups). Cardiological visits (case history and physical examination), general, clinical, electrocardiographic, echocardiographic and echo vascular parameters were assessed at day 0 and at the two follow-ups; laboratory data were assessed in this study only once, at day 0, as part of exclusion criteria (Suppl. Fig. 3). Participants: A total of 672 medical records (493 pts excluded at 1st cardiological visit, 53 pts excluded between 1 st and 2 nd cardiological visit) were analyzed, and 126 patients selected according to the selection criteria of the study. HTN were defined as clinic systolic blood pressure (SBP) range 140-159 mmHg; diastolic blood pressure (DBP) range 90-99 mmHg. NT [normal or elevated blood pressure (BP) individuals, but not hypertensive individuals] were defined as normal clinic BP (< 140 mmHg SBP and < 90 mmHg DBP). Inclusion criteria: 30-49 years old pts of both sexes (HTN and NT); HTN selected had high BP at 1 st cardiological visit or within three months from the 1 st cardiological visit (assessed at the patient's home or by family or occupational physician); HTN selected had to be included in the I stage (early stage) hypertension: SBP range 140-159 mmHg; DBP range 90-99 mmHg. Exclusion criteria: Individuals with hypertension over three months by the 1st cardiological visit; Individuals with a remote history of hypertension; SBP > 160 mmHg and/or DBP > 100 mmHg; HTN with evidence of increased BP during the study (BP assessed during the follow-up cardiological visit or at home ≥ 160/100 mmHg); Altered laboratory parameters: Hemoglobin (Hb) < 12 g/dl (female) 16 g/dl (female) > 18 g/dl (male); White Blood Cells (WBC) 10000/mm 3 ; Platelets (PLT) 400000/mm 3 ; creatinine > 1 mg/dl; Glomerular Filtration Rate (GFR) < 60 ml/min/1.73 mq, albuminuria ≥ 30 mg/g; natremia 146 mEq/l; kalemia 5,2 mEq/l; glycemia 100 mg/dl; total cholesterol > 200 mg/dl; trygliceridemia > 150 mg/dl; low-density lipoproteins (LDL) > 115 mg/dl; high-density lipoproteins (HDL) 115 g/m 2 (male) > 95 g/m 2 (female), interventricular septum thickness (IVST) > 11 mm, posterior wall thickness (PWT) > 11 mm, relative wall thickness (RWT) > 0,43, LV end diastolic diameter (LVEDD) > 60 mm, LV end systolic diameter (LVESD) > 45 mm, LV ejection fraction (EF) 34 ml/mq, E wave/e’ wave ratio (E/e’) > 14; valvular pathologies (moderate or severe stenosis and/or insufficiency); altered echo vascular parameters: carotid Intima-Media Thickness (IMT) > 0,9; presence of carotid plaques; Ankle Brachial Index (ABI) 1,4; Individuals with hypertension or cardiovascular organ damage. Interventions/Procedures: HTN were recommended lifestyle changes and anti-hypertensive medication (medication recommended if BP not normalized). No invasive interventions or procedures on patients was performed. Measurements : In the assessment of the medical records, the following parameters were collected. General and clinical parameters: Age, Gender, SBP, DBP, Mean Arterial Pressure (MAP), Body Surface Area (BSA), current smoking, current drinking; Laboratory parameters: Complete Blood Count (CBC), creatinine, GFR, albuminuria, natremia, kalemia, glycemia, complete lipid profile: total cholesterol, triglyceridemia, LDL, HDL; Electrocardiographic parameters: sinusal rhythm, heart rate (HR), electrographic signs of LV hypertrophy; Echocardiographic parameters: LV mass index, IVST, PWT, RWT, LVEDD, LVESD, EF, SV, Stroke volume index (Svi), LAVi, E/e’, MW (GWI, GCW, GWW, GWE), GLS; Echo vascular parameters: carotid IMT, presence of carotid plaques, cfPWV, ABI. BP was determined by brachial BP measurements reported in the medical record. HR was calculated by electrocardiogram. BSA was calculated by the Mosteller equation. VAC and Ea were calculated as VAC = cfPWV / GLS and Ea = (SBP x 0,9) / SV, respectively. Assessment of BP : In all cardiological visits the patients were asked to relax for 15 minutes in a quiet room before measuring their BP (office BP), after which their weight and height were measured in order to calculate the BSA. SBP and DBP were measured three times using a sphygmomanometer and the average of the three measurements was used. Day zero: On day zero, the first cardiological visit assessed that 179 people were considered valid for inclusion. Between the 1 st and the 2 nd visits 53 pts were excluded. Of these 126 selected individuals, 68 were included in the group A (HTN), 58 in the group B (NT). In both groups, smokers and alcohol binge individuals (drinkers) were identified: group A 68 HTN participants, 38/68 smokers, 12/68 drinkers; group B 58 NT participants, 1/58 smokers, 0/58 drinkers. 6 and 12 months follow up: Six months lifestyle changes were recommended to HTN (stop smoking, stop alcohol intake, reduce salt intake, foster weight loss, 30 minutes five times a week of moderate intensity aerobic exercise). After a period of 6 months, in HTN group, if SBP kept on being in the range 140-159 mmHg and DBP in the range 90-99 mmHg, antihypertensive drug therapy was administered (monotherapy or dual). In this study, the antihypertensive drug administered was ACE inhibitor Perindopril (at a dosage of 5 mg/day). The dual drug therapy administered was Perindopril/Amlodipine, at a dosage of 5 mg/5 mg per day. In the first follow-up at the 2 nd cardiological visit (6 months after day zero), after lifestyle changes, of the 68 HTN, 12/68 had a normalization of BP; 56/68 HTN were required to start drug antihypertensive treatment: 29 out of 56 HTN in monotherapy; 27 out of 56 HTN in dual therapy. 53 HTN were excluded in the 1 st follow-up at the 2nd cardiological visit. After the first cardiological visit one patient stopped smoking and one patient stopped habitual use of alcohol. In the second follow-up at the 3 rd cardiological visit (12 months after day zero) it has been assessed that the 12 HTN with normalization of BP at the first follow-up maintained normal BP, the 56 HTN treated with medication continued to take antihypertensive therapy and no HTN were excluded at the 2 nd cardiological follow-up. After the 2 nd cardiological visit an additional two patients stopped smoking and two patients stopped habitual use of alcohol. Statistical analysis : Statistical analysis was performed using Graphpad Prism Ver. 10.3.0 (GraphPad Software, San Diego, California, USA). In the first part of the study continuous variables with a normal distribution were expressed as mean ± SEM and HTN compared to NT using 2-way ANOVA. In the second part, 1-way ANOVA was used and multiple linear regression was performed to assess the impact of each variable on VAC. A value of p < 0.05 was considered statistically significant. Results Out of 672 medical records, 126 individuals (aged 30–49 years old) were selected and included in this retrospective observational pilot-study (Table 1 ). They were divided in two groups: group A (HTN) and group B (NT). In HTN compared to NT, an increase in SBP, MAP, HR, MW GWI, MW GCW, and MW GWW was observed. There was a trend of increased values​​ for DBP (Table 2 ). In HTN, at day 0 (zero) and after the two follow-ups, the results of clinical and echographic parameters were as follows (Fig. 1, 2, 3). A decrease was observed in the values ​​of SBP at 12 months, DBP at 6 and 12 months, MAP at 6 and 12 months, and HR at 6 and 12 months. Despite the positive trend towards improvement at 6 months for SBP, this did not reach a significant reduction. In HTN, the echocardiographic parameters identified an increase in EF and SV/Svi at 12 months and a reduction in LAVi at 12 months (Fig. 2). Table 1 HTN vs NT, current smokers and drinkers. NT D0 HT D0 Patients 58 (25 M; 33 F) 68 (32 M; 36 F) Current smokers 1 38 Current drinkers 0 12 NT D0, normotensives at day 0; HT D0, hypertensives at day 0; M, male; F, female. Table 2 HTN vs NT. Mean ± SEM. NT D0 HT D0 Mean ± SEM Mean ± SEM p-value AGE 40.21 ± 0.87 38.16 ± 0.7 0.81 SBP 124.29 ± 1.12 146.65 ± 1.00 0.01 DBP 71.79 ± 0.92 88.59 ± 0.69 0.05 MAP 89.26 ± 0.86 107.94 ± 0.54 0.03 HR 70.48 ± 1.40 92.24 ± 0.90 0.01 BSA 1.83 ± 0.03 1.76 ± 0.02 > 0.99 IVST 7.97 ± 0.08 9.04 ± 0.11 0.9 PWT 7.48 ± 0.07 8.18 ± 0.09 0.94 RWT 0.35 ± 0.00 0.36 ± 0.00 > 0.99 LVEDD 43.88 ± 0.29 45.16 ± 0.27 0.88 LVESD 27.33 ± 0.12 28.37 ± 0.16 0.9 EF 63.16 ± 0.76 67.09 ± 0.67 0.65 SV 62.67 ± 0.76 58.81 ± 0.56 0.66 Svi 34.91 ± 0.71 33.94 ± 0.51 0.91 LAVi 24.43 ± 0.40 23.38 ± 0.37 0.9 E/e' 7.02 ± 0.11 8.31 ± 0.12 0.88 MW GWE 0.95 ± 0.00 0.94 ± 0.00 > 0.99 MW GWI 1727.03 ± 16.56 2092.29 ± 21.28 < 0.001 MW GCW 2049.79 ± 18.06 2460.19 ± 26.47 < 0.001 MW GWW 78.88 ± 1.38 141.46 ± 3.60 0.99 Ea (SBP x 0.9 / SV) 1.80 ± 0.03 2.26 ± 0.03 0.96 VAC (PWV/GLS) 0.36 ± 0.01 0.44 ± 0.01 0.99 NT D0, normotensives at day zero; HT D0, hypertensives at day zero; SBP, systolic blood pressure; DBP, diastolic blood pressure; MAP, mean arterial pressure; HR, heart rate; BSA, body surface area; IVST, interventricular septum thickness; PWT, posterior wall thickness; RWT, ratio of wall thickness; LVEDD, left ventricular end diastolic diameter; LVESD, left ventricular end systolic diameter; EF, ejection fraction; SV, stroke volume; SVI, stroke volume index; LAVi, left atrial volume index; MW, Myocardial Work; GWI, global work index; GCW, global constructive work; GWW, global wasted work; GWE, global work efficiency; GLS, global longitudinal strain; cfPWV, carotid femoral Pulse Wave Velocity; ABI, ankle-brachial index; Ea, arterial elastance; VAC, ventricular-arterial coupling. Table 3 Analysis by multiple linear regression to the variable VAC at Day 0. HT0 R² P value 95% CI (asymptotic) Intercept 0.0388 0.2775 to 10.01 Current smokers 0.6632 0.2019 -0.2593 to 0.05649 Current drinkers 0.6149 0.0042 0.09662 to 0.4813 AGE 0.7979 0.9394 -0.01708 to 0.01843 SBP 0.9945 0.7591 -0.08686 to 0.06382 DBP 0.9965 0.8597 -0.1482 to 0.1242 MAP 0.9973 0.8663 -0.2154 to 0.1821 HR 0.3293 0.3894 -0.004299 to 0.01081 BSA 0.9689 0.0809 -2.748 to 0.1660 IVST 0.7915 0.9773 -0.1125 to 0.1094 PWT 0.8171 0.3853 -0.08061 to 0.2045 RWT 0.9139 0.5034 -5.450 to 2.719 LVEDD 0.8286 0.9356 -0.05211 to 0.04808 LVESD 0.6088 0.6932 -0.04557 to 0.06789 EF 0.4853 0.2165 -0.01863 to 0.004349 SV 0.9874 0.099 -0.01466 to 0.1638 SVi 0.9797 0.0723 -0.1465 to 0.006629 LAVi 0.7278 0.1957 -0.01007 to 0.04769 E/e’ 0.7396 0.0038 -0.2287 to -0.04723 MW GWE 0.5573 0.4632 -2.158 to 1.000 MW GWI 0.531 0.0017 -0.001015 to -0.0002518 MW GCW 0.5605 0.0786 -3.383e-005 to 0.0005998 MW GWW 0.7021 0.0323 0.0002753 to 0.005934 Strain GLS 0.4143 0.9235 -0.04511 to 0.04099 cfPWV 0.6977 0.0706 -0.01392 to 0.3313 ABI 0.5125 0.1954 -1.309 to 0.2759 Ea (SBP x 0.9 / SV) 0.9876 0.2447 -0.7776 to 2.965 HT D0, hypertensives at day zero; SBP, systolic blood pressure; DBP, diastolic blood pressure; MAP, mean arterial pressure; HR, heart rate; BSA, body surface area; IVST, interventricular septum thickness; PWT, posterior wall thickness; RWT, ratio of wall thickness; LVEDD, left ventricular end diastolic diameter; LVESD, left ventricular end systolic diameter; EF, ejection fraction; SV, stroke volume; SVI, stroke volume index; LAVi, left atrial volume index; MW, Myocardial Work; GWI, global work index; GCW, global constructive work; GWW, global wasted work; GWE, global work efficiency; GLS, global longitudinal strain; cfPWV, carotid femoral Pulse Wave Velocity; ABI, ankle-brachial index; Ea, arterial elastance; VAC, ventricular-arterial coupling; CI, confidence interval. Table 4 Analysis by multiple linear regression to the variable VAC at 6 months. HT6mo R² P value 95% CI (asymptotic) Intercept 0.9223 -1.320 to 1.198 Current smokers 0.6514 0.648 -0.002207 to 0.003509 Current drinkers 0.5768 0.2352 -0.005395 to 0.001363 AGE 0.787 0.3579 -0.0001719 to 0.0004653 SBP 0.9965 0.2033 -0.0005639 to 0.002570 DBP 0.9971 0.1467 -0.0006938 to 0.004493 MAP 0.9982 0.1311 -0.006781 to 0.0009127 HR 0.4636 0.2288 -5.061e-005 to 0.0002056 BSA 0.9917 0.0418 0.002353 to 0.1185 IVST 0.6724 0.9519 -0.001646 to 0.001550 PWT 0.9981 0.0039 0.01321 to 0.06463 RWT 0.9986 0.0053 -1.460 to -0.2718 LVEDD 0.9924 0.0078 -0.01132 to -0.001828 LVESD 0.6765 0.7537 -0.0008960 to 0.001228 EF 0.4162 0.573 -0.0002677 to 0.0001502 SV 0.9971 0.3388 -0.004876 to 0.001717 SVi 0.9943 0.0493 9.617e-006 to 0.005613 LAVi 0.6189 0.5069 -0.0006361 to 0.0003193 E/e’ 0.6216 0.593 -0.001873 to 0.001084 MW GWE 0.9957 0.2755 -0.5962 to 2.038 MW GWI 0.4854 0.0621 -1.287e-005 to 3.328e-007 MW GCW 0.9818 0.5162 -3.804e-005 to 1.941e-005 MW GWW 0.9963 0.2384 -0.0002039 to 0.0007965 Strain GLS 0.3557 < 0.0001 -0.02262 to -0.02113 cfPWV 0.6052 < 0.0001 0.04522 to 0.05089 ABI 0.4202 0.0725 -0.001392 to 0.03048 Ea (SBP x 0.9 / SV) 0.9972 0.9529 -0.08216 to 0.07747 HT 6mo, hypertensives at 6 months; SBP, systolic blood pressure; DBP, diastolic blood pressure; MAP, mean arterial pressure; HR, heart rate; BSA, body surface area; IVST, interventricular septum thickness; PWT, posterior wall thickness; RWT, ratio of wall thickness; LVEDD, left ventricular end diastolic diameter; LVESD, left ventricular end systolic diameter; EF, ejection fraction; SV, stroke volume; SVI, stroke volume index; LAVi, left atrial volume index; MW, Myocardial Work; GWI, global work index; GCW, global constructive work; GWW, global wasted work; GWE, global work efficiency; GLS, global longitudinal strain; cfPWV, carotid femoral Pulse Wave Velocity; ABI, ankle-brachial index; Ea, arterial elastance; VAC, ventricular-arterial coupling; CI, confidence interval. Table 5 Analysis by multiple linear regression to the variable VAC at 12 months. HT12mo R² P value 95% CI (asymptotic) Intercept 0.7223 -1.475 to 1.031 Current smokers 0.5734 0.8328 -0.002490 to 0.002016 Current drinkers 0.4336 0.8408 -0.002802 to 0.002292 AGE 0.697 0.8102 -0.0002050 to 0.0002608 SBP 0.99 0.4023 -0.002247 to 0.0009198 DBP 0.996 0.5154 -0.002881 to 0.001468 MAP 0.9963 0.4945 -0.002157 to 0.004393 HR 0.6715 0.5565 -7.849e-005 to 0.0001437 BSA 0.9943 0.9639 -0.06254 to 0.06542 IVST 0.685 0.7643 -0.001623 to 0.001201 PWT 0.8296 0.415 -0.001407 to 0.003344 RWT 0.8901 0.679 -0.06818 to 0.04485 LVEDD 0.7574 0.788 -0.0008299 to 0.0006337 LVESD 0.4662 0.4061 -0.0004331 to 0.001049 EF 0.3162 0.7648 -0.0001408 to 0.0001902 SV 0.9952 0.7649 -0.002045 to 0.002761 SVi 0.9958 0.9814 -0.002716 to 0.002654 LAVi 0.5956 0.689 -0.0003668 to 0.0005497 E/e’ 0.5532 0.9798 -0.001275 to 0.001307 MW GWE 0.9964 0.3131 -0.6412 to 1.953 MW GWI 0.5085 0.5776 -7.591e-006 to 4.289e-006 MW GCW 0.9835 0.4092 -3.875e-005 to 1.610e-005 MW GWW 0.9966 0.3608 -0.0002743 to 0.0007372 Strain GLS 0.2717 < 0.0001 -0.02044 to -0.01914 cfPWV 0.6769 < 0.0001 0.04513 to 0.04995 ABI 0.4654 0.9791 -0.01688 to 0.01644 Ea (SBP x 0.9 / SV) 0.995 0.8105 -0.06222 to 0.07912 HT 12mo, hypertensives at 12 months; SBP, systolic blood pressure; DBP, diastolic blood pressure; MAP, mean arterial pressure; HR, heart rate; BSA, body surface area; IVST, interventricular septum thickness; PWT, posterior wall thickness; RWT, ratio of wall thickness; LVEDD, left ventricular end diastolic diameter; LVESD, left ventricular end systolic diameter; EF, ejection fraction; SV, stroke volume; SVI, stroke volume index; LAVi, left atrial volume index; MW, Myocardial Work; GWI, global work index; GCW, global constructive work; GWW, global wasted work; GWE, global work efficiency; GLS, global longitudinal strain; cfPWV, carotid femoral Pulse Wave Velocity; ABI, ankle-brachial index; Ea, arterial elastance; VAC, ventricular-arterial coupling; CI, confidence interval. In HTN, a reduction in GWI, GCW, and GWW in the investigated MW components at 12 months and an improvement in GWE at 6 and 12 months were observed. Despite the trend at 6 months of a reduction in GWI, GCW, and GWW, none reached statistical significance. In HTN, a reduction in GLS, cfPWV, Ea, and VAC was observed at 6 and 12 months (Fig. 3). At day 0, the variables MW GWI, MW GWW, current drinkers, and E/e’ were linearly related to VAC (Fig. 4). At 6 months the variables BSA, PWT, RWT, LVEDD, SVi, GLS, and cfPWV were found to be linearly related to VAC (Fig. 5). At 12 months the variables GLS, and cfPWV were linearly related to VAC (Fig. 6). Analysis indicated a strong trend to linear correlation to VAC for BSA, SBP, DBP, MAP, and Ea, although none were statistically significant. Discussion In our study, we found no difference in VAC between HTN and NT groups. Along with HR and BP, specifically SBP and MAP (with a positive trend ​​towards significance for DBP), MW (in its components GWI, GCW, and GWW) was found to be higher in HT than NT. By assessment of the HTN group at the two follow-ups at 6 and 12 months, BP, EF, MW (in its components GWI, GCW, and GWW), VAC, Ea, cfPWV and GLS were significantly improved. Analysis of the impact of VAC on the parameters investigated in this study highlighted that VAC was linearly related to cfPWV and GLS after lifestyle changes and hypertensive drug treatment. In addition to cfPWV and GLS, MW (in its components GWI and GWW), current drinking and E/e’ were found to be linearly related to VAC at day 0, whereas the variables BSA, PWT, RWT, LVEDD, and SVi, were found to be linearly related to VAC at 6 months. Notwithstanding no significant difference in VAC, significant difference in BP, HR and MW was observed between the two groups, highlighting the pre-clinical role of an increase in sympathetic activity in the onset of hypertension even in middle-aged HTN. Furthermore, along with EF and GLS, MW components were valid indicators of LV systolic function, even at the early onset of hypertension, providing a more comprehensive appraisal of LV systolic function. 6 , 7 , 8 Despite the positive trend of lifestyle changes at 6 months, the improvement of the parameters VAC, Ea, MW, cfPWV, EF, and GLS was more evident after the onset of antihypertensive therapy, demonstrating the benefit of a further reduction in BP. These data align with the current guidelines on further restricting BP ​​in terms of normal ranges, highlighting the paramount impact of BP in the management of sub-clinical hypertension. 9 As a consequence of the improvement of VAC, Ea, MW, cfPWV, EF, and GLS by lowering of BP and HR and changes in lifestyle (such as body weight loss, physical exercise, smoking cessation and reduction in salt and alcohol consumption), the improvement in systolic function by reduction of sympathetic overdrive and its significant effect on BP and HR was evidenced. In addition to aging as an independent contributor to the deterioration of diastolic function, the significant correlation between the echocardiographic parameter E/e' ratio and VAC in HT was observed by echocardiographic signs of an early effect of high BP values ​​on diastolic function. 10 , 11 Despite no statistically significance, the increase in VAC in the young hypertensive population compared to the healthy individuals was based on an increase in cfPWV and a reduction in GLS. The two determinants cfPWV and GLS for the calculation of VAC were found significantly related to VAC at 6 and 12 months, easily predictable as VAC = PWV / GLS, deducing that simultaneously arterial stiffness and LV systolic function are progressively altered. 12 , 13 This is dependant upon the progressive hardening of the arteries by aging (mostly in the population with exposure to risk factors such as tachycardia, high BP, and smoking) that determined a progressive increase in the pulse wave transmission with consequent effect given by the return to the heart of the anterograde pulse wave at an earlier time point during the late systolic phase of the cardiac cycle. As a consequence of this, constantly increased afterload affected a progressive impairment of cardiac function with progressive reduction of GLS. 14 Concerning the effect of medical treatment on BP, BP control ​​occurred with antihypertensive drugs in monotherapy and dual therapy. As predictable, dual drug antihypertensive treatment was more effective in reducing both BP and VAC compared to single drug antihypertensive treatment. 3 , 9 As demonstrated by other research, VAC was associated with the prevalence of both hypertension and other cardiovascular risk factors, such as active smoking, alcohol consumption, and increased HR, highlighting reports that it is the most significant predictor of risk. 1 , 15 , 16 In agreement with the studies of Holm H et al. and Stoichescu-Hogea G et al., VAC and cfPWV were found higher and GLS lower ​than in the control population. The former was found to be especially associated with age and active smoking; the latter found to be worse in coronary artery disease and HTN vs HTN vs group control. Compared to the aformentioned studies, the investigated population in our study did not have additional cardiovascular risk factors or organ damage, highligthing that in early stage of hypertension these parameters were not statistically significant. 2 , 12 , 13 , 15 , 17 , 18 The finding of no significant difference in VAC was mainly due to the small sample size and lack of longitudinal analysis in NT. Furthermore, as the investigated population was not elderly and without cardiovascular diseases, it was demonstrated that this parameter was not altered in middle-aged HTN at early stage of hypertension. As left VAC represents both a parameter that characterizes the energetic cost, particularly when the LV function is changed, and a hemodynamic measure linked to patient outcomes, 19 , 20 this highlights the importance of observing small changes in the pre-clinical context, such as arterial hypertension without organ damage. 1 On the other hand, in the population studied, MW was demonstrated to be sensitive to impairment even in young HTN, highlighting it to be more affected at early stages from augmentations in sympathetic increases in BP and HR. In addition, as MW was observed to be statistically higher in HT without other cardiovascular risk factors or organ damage, this parameter can account for BP and myocardial energy consumption at the onset of hypertension and not only in overt cardiovascular diseases. 2 , 10 , 21 The NORRE substudy, was the first to offer data on age-related changes in GWI and GCW among both males and females. In women, values increased, whereas in men, they remained unchanged, with an increase primarily associated with elevated SBP alone. Additionally, GWW and GWE values were found to increase in men and decrease in women, with no significant age-related differences (Table 6 ). 22 GWI represents the area within the LV loop quantifying the work performed by the LV throughout the entire mechanical energy between MVC and MVO; GCW represents the positive work performed by shortening during IVC and systole and the negative work by lengthening during filling, quantifying the energy consumed by the myocardium that effectively contributes to CO; GWW represents negative work by lengthening during IVC and systole and positive work by shortening during IVR, quantifying the wasted energy by the myocardium that does not contribute to CO. As a consequence of this, to complete the mechano-energetic study, the assessment of MW adds, through its components (GWI, GCW, GWW, GWE), a greater definition of myocardial energy expenditure both in the evaluation of the amount of MW performed by the left ventricle during systole and the amount of MW that participates or does not in ejection. We observed that at early stage of arterial hypertension, GWI, GCW, GWW are higher indicating an increase in MW expenditure. Through lifestyle changes and anti-hypertensive drug treatment, these parameters tend to be renormalized, indicating a better mechano-energetic efficiency. 2 Therefore, myocardial mechano-energetic efficiency represented as a surrogate of MW was found to be more sensitive and with higher impact than VAC and other parameters studied at early stage of hypertension in middle-aged HTN. 18 , 21 , 23 Table 6 MW in all its components Used with permission from Dr. Federica Ilardi, April 8, 2024. In light of these results, in addition to BP and HR controls, the sub-clinical assessment of LV systolic and diastolic functions can be investigated in clinical practice in young people at early stage of hypertension by calculating MW and the E/e’ ratio, respectively. Longitudinal studies with larger sample of young HT could provide additional robust results in order to define the significant role of VAC and the other parameters investigated in this study in terms of cardiovascular prevention for more accurate management and assessment in clinical practice. Limitations of the study This study has several limitations. The number of people investigated was small and the timeframe brief. A longitudinal study on the healthy population was not performed, so that the HTN and NT groups were not compared at 6 and 12 months. Also, VAC was non-invasively calculated. This study did not analyze all stages of hypertension and HT with organ damage. Conclusions VAC was found to be advantageous in early stage middle-aged HT for the assessment of the cardiovascular system. In addition to VAC, the parameters Ea, MW, cfPWV, GLS, and EF were highlighted to be altered even in early stage of hypertension and statistically improved after lifestyle changes or antihypertensive drug treatment. Since hypertension is both an important independent risk factor for cardiovascular disease and endothelial dysfunction, this study highlights the clinical impact of cardiovascular prevention in young HT, particularly in active smokers and drinkers with increased HR. Despite VAC being easily determined at the patient's bedside, it still remains neglected. Further studies are needed to demonstrate the effective introduction of this parameter into clinical practice. Abbreviations ABI: Ankle Brachial Index AVC: Aortic Valve Closure AVO: Aortic Valve Opening BP: Blood Pressure BSA: Body Surface Area CBC: Complete Blood Count cfPWV: carotid-femoral Pulse Wave Velocity CW: Continuous Wave DBP: Diastolic Blood Pressure E/e’: E wave/e’ wave ratio Ea: Arterial Elastance EF: Ejection Fraction ESC: European Society of Cardiology ET: Ejection Time GCW: Global Constructed Work GFR: Glomerular Filtration Rate GLS: Global Longitudinal Strain GWE: Global Work Efficiency GWI: Global Work Index GWW: Global Wasted Work Hb: Hemoglobin HDL: High-density lipoproteins HR: Heart Rate HTN: Hypertensives IMT: Intima-Media Thickness IVC: Isovolumetric Contraction IVR: Isovolumetric Relaxation IVST: Interventricular Septum Thickness LAV: Left atrial volume LAVi: Left Atrial Volume Index LDL: Low-density lipoproteins LVEDD: Left Ventricular End Diastolic Diameter LVEDV: Left Ventricular End Diastolic Volume LVESD: Left Ventricular End Systolic Diameter LVESV: Left Ventricular End Systolic Volume LVOT: Left Ventricular Outflow Tract LV: Left Ventricular MAP: Mean Arterial Pressure MW: Myocardial Work MWI: Myocardial Work Index MVC: Mitral Valve Closure MVO: Mitral Valve Opening Na2EDTA: disodium ethylenediaminetetraacetate NT: Normotensives PLT: Platelets PSL: Pressure Strain Loop PTT: Pulse Transit Time PWT: Posterior Wall Thickness PW: Pulsed Wave PWV: Pulse Wave Velocity ROI: Region of Interest RPM: Revolutions per Minute RWT: Relative Wall Thickness SBP: Systolic Blood Pressure SV: Stroke Volume Svi: Stroke Volume Index VAC: Ventricular-Arterial Coupling WBC: White Blood Cells Declarations Acknowledgements George W. Booz acknowledges the support of the Pharmacology Clinical Research Core of the University of Mississippi Medical Center. Author Contributions Andrea Vitali conceived the idea behind the manuscript and contributed to the literature search, analyses, writing, original draft, and editing of the manuscript. Giuseppe Biondi Zoccai, George W. Booz and Raffaele Altara contributed to the literature search, analyses, writing, and editing of the manuscript. All authors read and approved the final version of the manuscript. Funding George W. Booz was supported in part by the National Institute of General Medical Sciences of the National Institutes of Health under Award Number P20GM121334. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Conflicts of Interest The authors affirm that they have no conflicts of interest to declare. References Vitali A, Zouein FA, Booz GW, Altara R. Prognostic Utility of Assessing Ventricular-Arterial Coupling in Arterial Hypertension and Cardiovascular Diseases. Minerva Cardiology and Angiology 2024-5. Vitali A, Zouein F A, Booz G W, Altara R. Clinical Utility of Myocardial Work Assessment in Arterial Hypertension and Cardiovascular Diseases. Minerva Cardiology and Angiology 2024-5. Kelly MS, Dacey A, Siana A, Ojeda J. Efficacy and Safety of a Polypill to Reduce Cardiovascular Events: A Review of Clinical Trials. J Cardiovasc Pharmacol 2024; 83 (1) : 8-15. Zhao Y, Wang L, Huang Y, Evans PC, Little PJ, Tian X, Weng J, Xu S. Anthocyanins in Vascular Health and Disease: Mechanisms of Action and Therapeutic Potential. J Cardiovasc Pharmacol 2024; 84 (3) : 289-302. Chilbert MR, Woodruff AE, Rogers KC. A Practical Guide to Understanding and Treating Peripheral Artery Disease. J Cardiovasc Pharmacol 2024; 83 (6) : 565-579. Loncaric F, Marciniak M, Nunno L, Mimbrero M, Fernandes JF, Fabijanovic D, Sanchis L, Doltra A, Montserrat S, Cikes M, Lamata P, Bijnens B, Sitges M. Distribution of myocardial work in arterial hypertension: insights from non-invasive left ventricular pressure-strain relations. Int J Cardiovasc Imaging 2021; 37 (1) : 145-154. Russell K, Eriksen M, Aaberge L, Wilhelmsen N, Skulstad H, Remme EW, Haugaa KH, Opdahl A, Fjeld JG, Gjesdal O, Edvardsen T, Smiseth OA. A novel clinical method for quantification of regional left ventricular pressure-strain loop area: a non-invasive index of myocardial work. Eur Heart J 2012; 33 (6) : 724-733. Flachskampf FA, Chandrashekar Y. Myocardial Work and Work Index: Related But Different for Clinical Usage. JACC Cardiovasc Imaging 2022; 15 (8) : 1521-1523. McEvoy JW, McCarthy CP, Bruno RM, Brouwers S, Canavan MD, Ceconi C, Christodorescu RM, Daskalopoulou SS, Ferro CJ, Gerdts E, Hanssen H, Harris J, Lauder L, McManus RJ, Molloy GJ, Rahimi K, Regitz-Zagrosek V, Rossi GP, Sandset EC, Scheenaerts B, Staessen JA, Uchmanowicz I, Volterrani M, Touyz RM, Group ESCSD. 2024 ESC Guidelines for the management of elevated blood pressure and hypertension. Eur Heart J 2024; 45 (38) : 3912-4018. Suga H. Total mechanical energy of a ventricle model and cardiac oxygen consumption. Am J Physiol 1979; 236 (3) : H498-505. Nadruz W, Shah AM, Solomon SD. Diastolic Dysfunction and Hypertension. Med Clin North Am 2017; 101 (1) : 7-17. Monge Garcia MI, Santos A. Understanding ventriculo-arterial coupling. Ann Transl Med 2020; 8 (12) : 795. London GM, Marchais SJ, Guerin AP, Pannier B. Arterial stiffness: pathophysiology and clinical impact. Clin Exp Hypertens 2004; 26 (7-8) : 689-699. Sahiti F, Morbach C, Cejka V, Tiffe T, Wagner M, Eichner FA, Gelbrich G, Heuschmann PU, Stork S. Impact of cardiovascular risk factors on myocardial work-insights from the STAAB cohort study. J Hum Hypertens 2022; 36 (3) : 235-245. Holm H, Kruger R, Jujic A, Lamiral Z, Uys AS, Girerd N, Magnusson M. Ventricular-arterial coupling and cardiovascular risk among young adults: The African-PREDICT study. Am J Physiol Heart Circ Physiol 2023; 325 (2) : H362-H371. de Simone G, Izzo R, Losi MA, Stabile E, Rozza F, Canciello G, Mancusi C, Trimarco V, De Luca N, Trimarco B. Depressed myocardial energetic efficiency is associated with increased cardiovascular risk in hypertensive left ventricular hypertrophy. J Hypertens 2016; 34 (9) : 1846-1853. Ikonomidis I, Katsanos S, Triantafyllidi H, Parissis J, Tzortzis S, Pavlidis G, Trivilou P, Makavos G, Varoudi M, Frogoudaki A, Vrettou AR, Vlastos D, Lekakis J, Iliodromitis E. Pulse wave velocity to global longitudinal strain ratio in hypertension. Eur J Clin Invest 2019; 49 (2) : e13049. Stoichescu-Hogea G, Buleu FN, Nicusor Pop G, Duda-Seiman D, Ember A, Tudor A, Baneu P, Kundnani NR, Christodorescu R, Dragan S. Ventricular-arterial coupling assessed by PWV/GLS ratio in hypertensive patients. Eur Rev Med Pharmacol Sci 2022; 26 (19) : 7024-7035. Aslanger E, Assous B, Bihry N, Beauvais F, Logeart D, Cohen-Solal A. Association between baseline cardiovascular mechanics and exercise capacity in patients with coronary artery disease. Anatol J Cardiol 2016; 16 (8) : 608-613. Andrei S, Nguyen M, Longrois D, Popescu BA, Bouhemad B, Guinot PG. Ventriculo-Arterial Coupling Is Associated With Oxygen Consumption and Tissue Perfusion in Acute Circulatory Failure. Front Cardiovasc Med 2022; 9: 842554. Takaoka H, Takeuchi M, Odake M, Yokoyama M. Assessment of myocardial oxygen consumption (Vo2) and systolic pressure-volume area (PVA) in human hearts. Eur Heart J 1992; 13 Suppl E: 85-90. Manganaro R, Marchetta S, Dulgheru R, Sugimoto T, Tsugu T, Ilardi F, Cicenia M, Ancion A, Postolache A, Martinez C, Kacharava G, Athanassopoulos GD, Barone D, Baroni M, Cardim N, Hagendorff A, Hristova K, Lopez T, de la Morena G, Popescu BA, Penicka M, Ozyigit T, Rodrigo Carbonero JD, van de Veire N, Von Bardeleben RS, Vinereanu D, Zamorano JL, Rosca M, Calin A, Moonen M, Magne J, Cosyns B, Galli E, Donal E, Carerj S, Zito C, Santoro C, Galderisi M, Badano LP, Lang RM, Lancellotti P. Correlation between non-invasive myocardial work indices and main parameters of systolic and diastolic function: results from the EACVI NORRE study. Eur Heart J Cardiovasc Imaging 2020; 21 (5) : 533-541. Van Bortel LM, Laurent S, Boutouyrie P, Chowienczyk P, Cruickshank JK, De Backer T, Filipovsky J, Huybrechts S, Mattace-Raso FU, Protogerou AD, Schillaci G, Segers P, Vermeersch S, Weber T, Artery S, European Society of Hypertension Working Group on Vascular S, Function, European Network for Noninvasive Investigation of Large A. Expert consensus document on the measurement of aortic stiffness in daily practice using carotid-femoral pulse wave velocity. J Hypertens 2012; 30 (3) : 445-448. Additional Declarations There is NO conflict of interest to disclose. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-6189873","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":430978280,"identity":"9eb04868-b921-4ee8-9ab4-a6d398a7dfd1","order_by":0,"name":"Andrea Vitali","email":"data:image/png;base64,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","orcid":"","institution":"UniCamillus University in Rome","correspondingAuthor":true,"prefix":"","firstName":"Andrea","middleName":"","lastName":"Vitali","suffix":""},{"id":430978281,"identity":"8f0c3593-c4a0-461f-8eb1-f8c311f83a63","order_by":1,"name":"Giuseppe Biondi Zoccai","email":"","orcid":"","institution":"","correspondingAuthor":false,"prefix":"","firstName":"Giuseppe","middleName":"Biondi","lastName":"Zoccai","suffix":""},{"id":430978282,"identity":"dcf54a46-c73f-4db6-9593-956050d6fa6a","order_by":2,"name":"George Booz","email":"","orcid":"","institution":"National Institute of General Medical Sciences","correspondingAuthor":false,"prefix":"","firstName":"George","middleName":"","lastName":"Booz","suffix":""},{"id":430978283,"identity":"51291328-a1c9-4f6e-8a00-60b86b332d17","order_by":3,"name":"Raffaele Altara","email":"","orcid":"","institution":"Department of Anatomy \u0026 Embryology, Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, The Netherlands","correspondingAuthor":false,"prefix":"","firstName":"Raffaele","middleName":"","lastName":"Altara","suffix":""}],"badges":[],"createdAt":"2025-03-09 17:30:13","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6189873/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6189873/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":79382819,"identity":"0ce4f433-2261-4a2c-bfc0-9f5d5dcbdbda","added_by":"auto","created_at":"2025-03-27 17:02:03","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":371388,"visible":true,"origin":"","legend":"\u003cp\u003eClinical and echocardiographic parameters in HTN.\u003c/p\u003e\n\u003cp\u003eBSA, body surface area; IVST, interventricular septum thickness; PWT, posterior wall thickness; RWT, relative wall thickness; LVEDD, left ventricular end diastolic diameter; LVESD, left ventricular end systolic diameter; E/e' ratio, E wave / e’ wave ratio; ABI, ankle brachial index.\u003c/p\u003e","description":"","filename":"1.png","url":"https://assets-eu.researchsquare.com/files/rs-6189873/v1/ec7515a0f5e10cc5791e371a.png"},{"id":79382818,"identity":"68853ae5-f4e4-43f2-a6fe-441061a6024e","added_by":"auto","created_at":"2025-03-27 17:02:03","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":445305,"visible":true,"origin":"","legend":"\u003cp\u003eBP, HR and echocardiographic parameters in HTN.\u003c/p\u003e\n\u003cp\u003eSBP, systolic blood pressure; DBP, diastolic blood pressure; MAP, mean arterial pressure; HR, heart rate; EF, ejection fraction; SV, stroke volume; Svi, stroke volume index; LAVi, left atrial volume index.\u003c/p\u003e","description":"","filename":"2.png","url":"https://assets-eu.researchsquare.com/files/rs-6189873/v1/ad1d62d2900935a9c4194d25.png"},{"id":79382820,"identity":"17300ca9-0c58-468c-8c3b-51ff6e7ba0a7","added_by":"auto","created_at":"2025-03-27 17:02:03","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":490977,"visible":true,"origin":"","legend":"\u003cp\u003eMW components, echocardiographic and echo vascular parameters GLS, cfPWV, Ea, VAC in the study population (HTN).\u003c/p\u003e\n\u003cp\u003eMW, Myocardial Work; GWI, global work index; GCW, global constructive work; GWW, global wasted work; GWE. global work efficiency; GLS, global longitudinal strain; cfPWV, carotid femoral Pulse Wave Velocity; Ea, arterial elastance; VAC, ventricular-arterial coupling.\u003c/p\u003e","description":"","filename":"3.png","url":"https://assets-eu.researchsquare.com/files/rs-6189873/v1/50e690cdb4281129eadaaeaf.png"},{"id":79382822,"identity":"29842758-ff06-4e3f-8cfa-4dc63d1bb778","added_by":"auto","created_at":"2025-03-27 17:02:03","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":320583,"visible":true,"origin":"","legend":"\u003cp\u003eMultiple linear regression (impact of each variable on VAC) HTN at Day 0.\u003c/p\u003e\n\u003cp\u003eΒ0, intercept; Β1, age; Β2, current smokers; Β3, current drinkers; Β4, systolic blood pressure; Β5, diastolic blood pressure; Β6, mean arterial pressure; Β7, heart rate; Β8, body surface area; Β9, interventricular septum thickness; Β10, posterior wall thickness; Β11, relative wall thickness; Β12, left ventricular end diastolic diameter; Β13, left ventricular end systolic diameter; Β14, ejection fraction; Β15, stroke volume; B16, stroke volume index; B17, left atrial volume index; Β18, E/e’ ratio; Β19, global work efficiency; Β20. global work index; Β21, global constructed work; Β22, global wasted work; Β23, global longitudinal strain; Β24, carotid femoral Pulse Wave Velocity; Β25, ankle-brachial index; Β26, arterial elastance.\u003c/p\u003e","description":"","filename":"4.png","url":"https://assets-eu.researchsquare.com/files/rs-6189873/v1/b7f206a1b8d09c4d359510e0.png"},{"id":79383295,"identity":"bbef533e-fcca-4df3-b58a-252164d851c8","added_by":"auto","created_at":"2025-03-27 17:10:03","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":286143,"visible":true,"origin":"","legend":"\u003cp\u003eMultiple linear regression (impact of each variable on VAC) HTN at 6 months.\u003c/p\u003e\n\u003cp\u003eΒ0, intercept; Β1, current smokers; Β2, current drinkers; Β3, age; Β4, systolic blood pressure; Β5, diastolic blood pressure; Β6, mean arterial pressure; Β7, heart rate; Β8, body surface area; Β9, interventricular septum thickness; Β10, posterior wall thickness; Β11, relative wall thickness; Β12, left ventricular end diastolic diameter; Β13, left ventricular end systolic diameter; Β14, ejection fraction; Β15, stroke volume; B16, stroke volume index; B17, left atrial volume index; Β18, E/e’ ratio; Β19, global work efficiency; Β20, global work index; Β21, global constructed work; Β22, global wasted work; Β23, global longitudinal strain; Β24, carotid femoral Pulse Wave Velocity; Β25, ankle-brachial index; Β26, arterial elastance.\u003c/p\u003e","description":"","filename":"5.png","url":"https://assets-eu.researchsquare.com/files/rs-6189873/v1/1e20237eca6b21598ae3a9bb.png"},{"id":79383702,"identity":"c73be521-7e21-49f5-abbd-e308e357073b","added_by":"auto","created_at":"2025-03-27 17:18:03","extension":"png","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":272793,"visible":true,"origin":"","legend":"\u003cp\u003eMultiple linear regression (impact of each variable on VAC) HTN at 12 months.\u003c/p\u003e\n\u003cp\u003eΒ0, intercept; Β1, current smokers; Β2, current drinkers; Β3, age; Β4, systolic blood pressure; Β5, diastolic blood pressure; Β6, mean arterial pressure; Β7, heart rate; Β8, body surface area; Β9, interventricular septum thickness; Β10, posterior wall thickness; Β11, relative wall thickness; Β12, left ventricular end diastolic diameter; Β13, left ventricular end systolic diameter; Β14, ejection fraction; Β15, stroke volume; B16, stroke volume index; B17, left atrial volume index; Β18, E/e’ ratio; Β19, global work efficiency; Β20, global work index; Β21, global constructed work; Β22, global wasted work; Β23, global longitudinal strain; Β24, carotid femoral Pulse Wave Velocity; Β25, ankle-brachial index; Β26, arterial elastance.\u003c/p\u003e","description":"","filename":"6.png","url":"https://assets-eu.researchsquare.com/files/rs-6189873/v1/fd01cc23c0ad078f8a6c79f1.png"},{"id":79384285,"identity":"b2270331-5c40-4baf-a1d4-412fd0effcca","added_by":"auto","created_at":"2025-03-27 17:26:05","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":3469540,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6189873/v1/1138881d-282b-4a58-ad9f-29eba6557b26.pdf"},{"id":79382827,"identity":"5f097b4f-7f67-4cf5-a6fc-087b4e180761","added_by":"auto","created_at":"2025-03-27 17:02:03","extension":"docx","order_by":1,"title":"","display":"","copyAsset":false,"role":"supplement","size":2690498,"visible":true,"origin":"","legend":"\u003cp\u003e\u003cbr\u003e\u003c/p\u003e","description":"","filename":"SupplementalFile.docx","url":"https://assets-eu.researchsquare.com/files/rs-6189873/v1/eb375d4a43791c9e8e67545e.docx"}],"financialInterests":"There is \u003cb\u003eNO\u003c/b\u003e conflict of interest to disclose.","formattedTitle":"Assessment of Ventricular-Arterial Coupling in Early Stage Middle-Aged Hypertensives","fulltext":[{"header":"Summary table","content":"\u003cp\u003eWhat is known about the topic\u003c/p\u003e\n\u003cul type=\"disc\"\u003e\n \u003cli\u003eThe coupling between the heart and arteries, ventricular-arterial coupling (VAC), is a measure of overall cardiovascular performance and efficiency.\u003c/li\u003e\n \u003cli\u003eChanges in VAC can indicate underlying heart or vascular problems.\u003c/li\u003e\n \u003cli\u003eHowever, there is a lack of studies on VAC in young hypertensives without cardiovascular risk factors. \u0026nbsp;\u003c/li\u003e\n \u003cli\u003eNo study has demonstrated the relevant impact of lifestyle changes and pharmacological treatment on VAC in young hypertensives without organ damage.\u0026nbsp;\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003e\u0026nbsp; What this study adds\u003c/p\u003e\n\u003cul type=\"disc\"\u003e\n \u003cli\u003eThis study investigated VAC in young (30-49 year-old) hypertensives without organ damage vs age-matched healthy people,\u0026nbsp;by assessing pulse wave velocity (PWV) and global longitudinal strain (GLS); in addition arterial elastance (Ea) and mechanical work (MW) were also investigated.\u003c/li\u003e\n \u003cli\u003eAt an early stage of hypertension three mechano-energetic components of MW,\u0026nbsp;global work index (GWI), global constructive work (GCW), and global wasted work (GWW) were increased, with no signs of overt cardiovascular disease.\u003c/li\u003e\n \u003cli\u003eVAC, Ea, PWV, and GLS did not differ between the two groups indicating no overt dysfunction in arterial stiffness or myocardial contraction.\u003c/li\u003e\n \u003cli\u003eHowever, lifestyle changes and pharmacological treatment improved all the aforementioned parameters, giving additional support for early intervention in hypertension.\u003cstrong\u003e\u003c/strong\u003e\u003c/li\u003e\n\u003c/ul\u003e\n"},{"header":"Introduction","content":"\u003cp\u003eVentricular-arterial coupling (VAC), defined as the ratio of two elastances, represents the relationship between the heart and the arterial system. This parameter (measured invasively or non-invasively) is altered by aging and following cardiovascular pathologies, indicating a deterioration of ventricular contractile function (myocardial dysfunction) and/or a stiffening of the arterial system (arterial stiffness). VAC can be calculated by various mathematical formulas, one of which is given by the ratio between the velocity of the arterial pressure wave (pulse wave velocity, PWV), estimated by various methods \u0026ndash; including by vascular ultrasound through carotid-femoral pulse wave velocity (cfPWV) \u0026ndash; and myocardial contractility, assessed through echocardiographic calculation of global ventricular deformation (global longitudinal strain, GLS).\u003csup\u003e\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eAs myocardial work (MW) represents the force that the heart exerts, by means of the contraction of cardiomyocytes, its assessment offers an additional means to evaluate cardiac performance in relation to energy expenditure, influenced by arterial afterload (aortic pressure) and stroke volume (SV), across various clinical scenarios.\u003csup\u003e\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003e This retrospective observational pilot-study was focused on middle-aged individuals recently diagnosed with early-stage hypertension [Stage I according to the 2024 European Society of Cardiology (ESC) guidelines] without organ damage (Suppl. Figures\u0026nbsp;1 \u0026amp; 2). Given that the parameters VAC, cfPWV, GLS, arterial elastance (Ea) and MW [in all its components: global work index (GWI), global constructive work (GCW), global wasted work (GWW), and global work efficiency (GWE)] have been primarily studied in cardiovascular diseases of aged populations, we sought to demonstrate whether these parameters were also altered in the early stages of arterial hypertension in middle-aged individuals. Additionally, we assessed whether normalization of blood pressure (BP) through lifestyle changes and/or anti-hypertensive drug treatment would lead to normalization of these parameters.\u003csup\u003e\u003cspan additionalcitationids=\"CR4\" citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e"},{"header":"Material and Methods ","content":"\u003cp\u003e\u003cstrong\u003e\u003cem\u003eStudy design\u003c/em\u003e\u003c/strong\u003e: This was a retrospective observational study. \u0026nbsp;The medical records for three years (from 1 March 2021 to 1 March 2024) were screened in the Terni Health District and in other public health districts of the Umbria region (Italy). The study was approved by the Umbria Regional Ethics Committee (protocol nr. 4744/24) and by the Asl Umbria 2 (by executive decision nr. 0003982). The primary outcome was to evidence that lifestyle changes and antihypertensive therapy normalize the ultrasound parameter VAC in recently diagnosed, early stage hypertensives (HTN) without organ damage. The secondary outcomes were (a) demonstration that the non-invasively assessed ultrasound parameters - VAC, Ea, cfPWV, GLS, MW - show worse values in recently diagnosed early-stage HTN without organ damage compared to healthy individuals (normotensives, NT), and (b) demonstration that lifestyle changes and antihypertensive therapy normalize the parameters Ea, cf PWV, GLS, MW.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u003cem\u003eStudy protocol\u003c/em\u003e\u003c/strong\u003e: The study is divided in two parts. In the first part, recently diagnosed middle-aged early stage HTN, diagnosed within 3 months of the first cardiological visit without organ damage, were compared to NT. Selected patients were divided into two groups: group A (HTN) and group B (NT) at day 0 (zero). Both groups had the same range of age (30-49 years old), sexes and were enrolled by inclusion and exclusion criteria. In the second part, only HTN were investigated by the 2\u003csup\u003end\u003c/sup\u003e and 3\u003csup\u003erd\u003c/sup\u003e cardiological visits (two 6 months follow-ups). Cardiological visits (case history and physical examination), general, clinical, electrocardiographic, echocardiographic and echo vascular parameters were assessed at day 0 and at the two follow-ups; laboratory data were assessed in this study only once, at day 0, as part of exclusion criteria (Suppl. Fig. 3).\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003cstrong\u003e\u003cem\u003eParticipants:\u003c/em\u003e\u003c/strong\u003e A total of 672 medical records (493 pts excluded at 1st cardiological visit, 53 pts excluded between 1\u003csup\u003est\u003c/sup\u003e and 2\u003csup\u003end\u003c/sup\u003e cardiological visit) were analyzed, and 126 patients selected according to the selection criteria of the study. HTN were defined as clinic systolic blood pressure (SBP) range 140-159 mmHg; diastolic blood pressure (DBP) range 90-99 mmHg. NT [normal or elevated blood pressure (BP) individuals, but not hypertensive individuals] were defined as normal clinic BP (\u0026lt; 140 mmHg SBP and \u0026lt; 90 mmHg DBP).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eInclusion criteria:\u0026nbsp;\u003c/em\u003e\u003c/strong\u003e30-49 years old pts of both sexes (HTN and NT);\u003cstrong\u003e\u003cem\u003e\u0026nbsp;\u003c/em\u003e\u003c/strong\u003eHTN selected had high BP at 1\u003csup\u003est\u003c/sup\u003e cardiological visit or within three months from the 1\u003csup\u003est\u003c/sup\u003e cardiological visit (assessed at the patient\u0026apos;s home or by family or occupational physician); HTN selected had to be included in the I stage (early stage) hypertension: SBP range 140-159 mmHg; DBP range 90-99 mmHg.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eExclusion criteria:\u003c/em\u003e\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003eIndividuals with hypertension over three months by the 1st cardiological visit; \u0026nbsp;Individuals with a remote history of hypertension; \u0026nbsp;SBP \u0026gt; 160 mmHg and/or DBP \u0026gt; 100 mmHg; HTN with evidence of increased BP during the study (BP assessed during the follow-up cardiological visit or at home \u0026ge; 160/100 mmHg); Altered laboratory parameters: Hemoglobin (Hb) \u0026lt; 12 g/dl (female) \u0026lt; 14 g/dl (male) or \u0026gt; 16 g/dl (female) \u0026gt; 18 g/dl (male); White Blood Cells (WBC) \u0026lt; 4000/mm\u003csup\u003e3\u0026nbsp;\u003c/sup\u003e or \u0026gt; 10000/mm\u003csup\u003e3\u003c/sup\u003e; Platelets (PLT) \u0026lt; 150000/mm\u003csup\u003e3\u003c/sup\u003e or \u0026gt; 400000/mm\u003csup\u003e3\u003c/sup\u003e; creatinine \u0026gt; 1 mg/dl; Glomerular Filtration Rate (GFR) \u0026lt; 60 ml/min/1.73 mq, albuminuria \u0026ge; 30 mg/g; natremia \u0026lt; 130 mEq/l or \u0026gt; 146 mEq/l; kalemia \u0026lt; 3,3 mEq/l or \u0026gt; 5,2 mEq/l; glycemia \u0026lt; 60 mg/dl or \u0026gt; 100 mg/dl; total cholesterol \u0026gt; 200 mg/dl; trygliceridemia \u0026gt; 150 mg/dl; low-density lipoproteins (LDL) \u0026gt; 115 mg/dl; high-density lipoproteins (HDL) \u0026lt; 35 mg/dl; Altered electrocardiographic parameters: no sinus rhythm; electrocardiographic criteria for left ventricular (LV) hypertrophy; Altered echocardiographic parameters: LV mass index \u0026gt; 115 g/m\u003csup\u003e2\u003c/sup\u003e (male) \u0026gt; 95 g/m\u003csup\u003e2\u003c/sup\u003e (female), interventricular septum thickness (IVST) \u0026gt; 11 mm, posterior wall thickness (PWT) \u0026gt; 11 mm, relative wall thickness (RWT) \u0026gt; 0,43, LV end diastolic diameter (LVEDD) \u0026gt; 60 mm, LV end systolic diameter (LVESD) \u0026gt; 45 mm, LV ejection fraction (EF) \u0026lt; 50%, Left Atrial Volume index (LAVi) \u0026gt; 34 ml/mq, E wave/e\u0026rsquo; wave ratio (E/e\u0026rsquo;) \u0026gt; 14; valvular pathologies (moderate or severe stenosis and/or insufficiency); altered echo vascular parameters: carotid Intima-Media Thickness (IMT) \u0026gt; 0,9; presence of carotid plaques; Ankle Brachial Index (ABI) \u0026lt; 0,9 or \u0026gt; 1,4; \u0026nbsp;Individuals with hypertension or cardiovascular organ damage.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eInterventions/Procedures:\u003c/em\u003e\u003c/strong\u003e HTN were recommended lifestyle changes and anti-hypertensive medication (medication recommended if BP not normalized). No invasive interventions or procedures on patients was performed.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eMeasurements\u003c/em\u003e\u003c/strong\u003e:\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003eIn the assessment of the medical records, the following parameters were collected. General and clinical parameters: Age, Gender, SBP, DBP, Mean Arterial Pressure (MAP), Body Surface Area (BSA), current smoking, current drinking; Laboratory parameters: Complete Blood Count (CBC), creatinine, GFR, albuminuria, natremia, kalemia, glycemia, complete lipid profile: total cholesterol, triglyceridemia, LDL, HDL; Electrocardiographic parameters: sinusal rhythm, heart rate (HR), electrographic signs of LV hypertrophy; Echocardiographic parameters: LV mass index, IVST, PWT, RWT, LVEDD, LVESD, EF, SV, Stroke volume index (Svi), LAVi, E/e\u0026rsquo;, MW (GWI, GCW, GWW, GWE), GLS; Echo vascular parameters: carotid IMT, presence of carotid plaques, cfPWV, ABI. BP was determined by brachial BP measurements reported in the medical record. HR was calculated by electrocardiogram. BSA was calculated by the Mosteller equation. VAC and Ea were calculated as VAC = cfPWV / GLS and Ea = (SBP x 0,9) / SV, respectively.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eAssessment of BP\u003c/em\u003e\u003c/strong\u003e:\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003eIn all cardiological visits the patients were asked to relax for 15 minutes in a quiet room before measuring their BP (office BP), after which their weight and height were measured in order to calculate the BSA. SBP and DBP were measured three times using a sphygmomanometer and the average of the three measurements was used.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDay zero:\u0026nbsp;\u003c/strong\u003eOn day zero, the first cardiological visit assessed that 179 people were considered valid for inclusion. Between the 1\u003csup\u003est\u003c/sup\u003e and the 2\u003csup\u003end\u003c/sup\u003e visits 53 pts were excluded. Of these 126 selected individuals, 68 were included in the group A (HTN), 58 in the group B (NT). In both groups, smokers and alcohol binge individuals (drinkers) were identified: group A 68 HTN participants, 38/68 smokers, 12/68 drinkers; group B 58 NT participants, 1/58 smokers, 0/58 drinkers.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e6 and 12 months follow up:\u0026nbsp;\u003c/strong\u003eSix months lifestyle changes were recommended to HTN (stop smoking, stop alcohol intake, reduce salt intake, foster weight loss, 30 minutes five times a week of moderate intensity aerobic exercise). After a period of 6 months, in HTN group, if SBP kept on being in the range 140-159 mmHg and DBP in the range 90-99 mmHg, antihypertensive drug therapy was administered (monotherapy or dual). In this study, the antihypertensive drug administered was ACE inhibitor Perindopril (at a dosage of 5 mg/day). The dual drug therapy administered was Perindopril/Amlodipine, at a dosage of 5 mg/5 mg per day. In the first follow-up at the 2\u003csup\u003end\u003c/sup\u003e cardiological visit (6 months after day zero), after lifestyle changes, of the 68 HTN, 12/68 had a normalization of BP; 56/68 HTN were required to start drug antihypertensive treatment: 29 out of 56 HTN in monotherapy; 27 out of 56 HTN in dual therapy. 53 HTN were excluded in the 1\u003csup\u003est\u003c/sup\u003e follow-up at the 2nd cardiological visit.\u003c/p\u003e\n\u003cp\u003eAfter the first cardiological visit one patient stopped smoking and one patient stopped habitual use of alcohol. In the second follow-up at the 3\u003csup\u003erd\u003c/sup\u003e cardiological visit (12 months after day zero) it has been assessed that the 12 HTN with normalization of BP at the first follow-up maintained normal BP, the 56 HTN treated with medication continued to take antihypertensive therapy and no HTN were excluded at the 2\u003csup\u003end\u003c/sup\u003e cardiological follow-up. After the 2\u003csup\u003end\u003c/sup\u003e cardiological visit an additional two patients stopped smoking and two patients stopped habitual use of alcohol.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cem\u003eStatistical analysis\u003c/em\u003e\u003c/strong\u003e: Statistical analysis was performed using Graphpad Prism Ver. 10.3.0 (GraphPad Software, San Diego, California, USA). In the first part of the study continuous variables with a normal distribution were expressed as mean \u0026plusmn; SEM and HTN compared to NT using 2-way ANOVA. In the second part, 1-way ANOVA was used and multiple linear regression was performed to assess the impact of each variable on VAC. A value of p \u0026lt; 0.05 was considered statistically significant.\u003c/p\u003e"},{"header":"Results","content":"\u003cp\u003eOut of 672 medical records, 126 individuals (aged 30\u0026ndash;49 years old) were selected and included in this retrospective observational pilot-study (Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). They were divided in two groups: group A (HTN) and group B (NT). In HTN compared to NT, an increase in SBP, MAP, HR, MW GWI, MW GCW, and MW GWW was observed. There was a trend of increased values​​ for DBP (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e). In HTN, at day 0 (zero) and after the two follow-ups, the results of clinical and echographic parameters were as follows (Fig.\u0026nbsp;1, 2, 3). A decrease was observed in the values ​​of SBP at 12 months, DBP at 6 and 12 months, MAP at 6 and 12 months, and HR at 6 and 12 months. Despite the positive trend towards improvement at 6 months for SBP, this did not reach a significant reduction. In HTN, the echocardiographic parameters identified an increase in EF and SV/Svi at 12 months and a reduction in LAVi at 12 months (Fig.\u0026nbsp;2).\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eHTN vs NT, current smokers and drinkers.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"3\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNT D0\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eHT D0\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePatients\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e58 (25 M; 33 F)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e68 (32 M; 36 F)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCurrent smokers\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e38\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCurrent drinkers\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e12\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"3\"\u003eNT D0, normotensives at day 0; HT D0, hypertensives at day 0; M, male; F, female.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab2\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 2\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eHTN vs NT. Mean\u0026thinsp;\u0026plusmn;\u0026thinsp;SEM.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eNT D0\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003eHT D0\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMean\u0026thinsp;\u0026plusmn;\u0026thinsp;SEM\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eMean\u0026thinsp;\u0026plusmn;\u0026thinsp;SEM\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003ep-value\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAGE\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e40.21\u0026thinsp;\u0026plusmn;\u0026thinsp;0.87\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e38.16\u0026thinsp;\u0026plusmn;\u0026thinsp;0.7\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.81\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSBP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e124.29\u0026thinsp;\u0026plusmn;\u0026thinsp;1.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e146.65\u0026thinsp;\u0026plusmn;\u0026thinsp;1.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.01\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDBP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e71.79\u0026thinsp;\u0026plusmn;\u0026thinsp;0.92\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e88.59\u0026thinsp;\u0026plusmn;\u0026thinsp;0.69\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.05\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMAP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e89.26\u0026thinsp;\u0026plusmn;\u0026thinsp;0.86\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e107.94\u0026thinsp;\u0026plusmn;\u0026thinsp;0.54\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.03\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHR\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e70.48\u0026thinsp;\u0026plusmn;\u0026thinsp;1.40\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e92.24\u0026thinsp;\u0026plusmn;\u0026thinsp;0.90\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e0.01\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBSA\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.83\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.76\u0026thinsp;\u0026plusmn;\u0026thinsp;0.02\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026gt;\u0026thinsp;0.99\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIVST\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7.97\u0026thinsp;\u0026plusmn;\u0026thinsp;0.08\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e9.04\u0026thinsp;\u0026plusmn;\u0026thinsp;0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.9\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePWT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7.48\u0026thinsp;\u0026plusmn;\u0026thinsp;0.07\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e8.18\u0026thinsp;\u0026plusmn;\u0026thinsp;0.09\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.94\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRWT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.35\u0026thinsp;\u0026plusmn;\u0026thinsp;0.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.36\u0026thinsp;\u0026plusmn;\u0026thinsp;0.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026gt;\u0026thinsp;0.99\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLVEDD\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e43.88\u0026thinsp;\u0026plusmn;\u0026thinsp;0.29\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e45.16\u0026thinsp;\u0026plusmn;\u0026thinsp;0.27\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.88\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLVESD\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e27.33\u0026thinsp;\u0026plusmn;\u0026thinsp;0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e28.37\u0026thinsp;\u0026plusmn;\u0026thinsp;0.16\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.9\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEF\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e63.16\u0026thinsp;\u0026plusmn;\u0026thinsp;0.76\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e67.09\u0026thinsp;\u0026plusmn;\u0026thinsp;0.67\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.65\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSV\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e62.67\u0026thinsp;\u0026plusmn;\u0026thinsp;0.76\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e58.81\u0026thinsp;\u0026plusmn;\u0026thinsp;0.56\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.66\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSvi\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e34.91\u0026thinsp;\u0026plusmn;\u0026thinsp;0.71\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e33.94\u0026thinsp;\u0026plusmn;\u0026thinsp;0.51\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.91\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLAVi\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e24.43\u0026thinsp;\u0026plusmn;\u0026thinsp;0.40\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e23.38\u0026thinsp;\u0026plusmn;\u0026thinsp;0.37\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.9\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eE/e'\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7.02\u0026thinsp;\u0026plusmn;\u0026thinsp;0.11\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e8.31\u0026thinsp;\u0026plusmn;\u0026thinsp;0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.88\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMW GWE\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.95\u0026thinsp;\u0026plusmn;\u0026thinsp;0.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.94\u0026thinsp;\u0026plusmn;\u0026thinsp;0.00\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026gt;\u0026thinsp;0.99\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMW GWI\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1727.03\u0026thinsp;\u0026plusmn;\u0026thinsp;16.56\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2092.29\u0026thinsp;\u0026plusmn;\u0026thinsp;21.28\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMW GCW\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e2049.79\u0026thinsp;\u0026plusmn;\u0026thinsp;18.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2460.19\u0026thinsp;\u0026plusmn;\u0026thinsp;26.47\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMW GWW\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e78.88\u0026thinsp;\u0026plusmn;\u0026thinsp;1.38\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e141.46\u0026thinsp;\u0026plusmn;\u0026thinsp;3.60\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eStrain GLS\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e20.64\u0026thinsp;\u0026plusmn;\u0026thinsp;0.21\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e19.28\u0026thinsp;\u0026plusmn;\u0026thinsp;0.17\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.88\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ecfPWV\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e7.39\u0026thinsp;\u0026plusmn;\u0026thinsp;0.12\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e9.01\u0026thinsp;\u0026plusmn;\u0026thinsp;0.06\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.85\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eABI\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.08\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e1.10\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e\u0026gt;\u0026thinsp;0.99\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEa (SBP x 0.9 / SV)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e1.80\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e2.26\u0026thinsp;\u0026plusmn;\u0026thinsp;0.03\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.96\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eVAC (PWV/GLS)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.36\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.44\u0026thinsp;\u0026plusmn;\u0026thinsp;0.01\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.99\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"4\"\u003eNT D0, normotensives at day zero; HT D0, hypertensives at day zero; SBP, systolic blood pressure; DBP, diastolic blood pressure; MAP, mean arterial pressure; HR, heart rate; BSA, body surface area; IVST, interventricular septum thickness; PWT, posterior wall thickness; RWT, ratio of wall thickness; LVEDD, left ventricular end diastolic diameter; LVESD, left ventricular end systolic diameter; EF, ejection fraction; SV, stroke volume; SVI, stroke volume index; LAVi, left atrial volume index; MW, Myocardial Work; GWI, global work index; GCW, global constructive work; GWW, global wasted work; GWE, global work efficiency; GLS, global longitudinal strain; cfPWV, carotid femoral Pulse Wave Velocity; ABI, ankle-brachial index; Ea, arterial elastance; VAC, ventricular-arterial coupling.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab3\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 3\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eAnalysis by multiple linear regression to the variable VAC at Day 0.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eHT0\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eR\u0026sup2;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eP value\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e95% CI (asymptotic)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIntercept\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e0.0388\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.2775 to 10.01\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCurrent smokers\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.6632\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.2019\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.2593 to 0.05649\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCurrent drinkers\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.6149\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e0.0042\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.09662 to 0.4813\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAGE\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.7979\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.9394\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.01708 to 0.01843\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSBP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9945\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.7591\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.08686 to 0.06382\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDBP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9965\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.8597\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.1482 to 0.1242\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMAP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9973\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.8663\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.2154 to 0.1821\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHR\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.3293\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.3894\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.004299 to 0.01081\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBSA\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9689\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.0809\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-2.748 to 0.1660\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIVST\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.7915\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.9773\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.1125 to 0.1094\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePWT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.8171\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.3853\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.08061 to 0.2045\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRWT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9139\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.5034\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-5.450 to 2.719\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLVEDD\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.8286\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.9356\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.05211 to 0.04808\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLVESD\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.6088\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.6932\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.04557 to 0.06789\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEF\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.4853\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.2165\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.01863 to 0.004349\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSV\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9874\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.099\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.01466 to 0.1638\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSVi\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9797\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.0723\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.1465 to 0.006629\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLAVi\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.7278\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.1957\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.01007 to 0.04769\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eE/e\u0026rsquo;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.7396\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e0.0038\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.2287 to -0.04723\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMW GWE\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.5573\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.4632\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-2.158 to 1.000\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMW GWI\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.531\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e0.0017\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.001015 to -0.0002518\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMW GCW\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.5605\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.0786\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-3.383e-005 to 0.0005998\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMW GWW\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.7021\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e0.0323\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.0002753 to 0.005934\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eStrain GLS\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.4143\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.9235\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.04511 to 0.04099\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ecfPWV\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.6977\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.0706\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.01392 to 0.3313\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eABI\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.5125\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.1954\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-1.309 to 0.2759\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEa\u003c/p\u003e \u003cp\u003e(SBP x 0.9 / SV)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9876\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.2447\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.7776 to 2.965\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"4\"\u003eHT D0, hypertensives at day zero; SBP, systolic blood pressure; DBP, diastolic blood pressure; MAP, mean arterial pressure; HR, heart rate; BSA, body surface area; IVST, interventricular septum thickness; PWT, posterior wall thickness; RWT, ratio of wall thickness; LVEDD, left ventricular end diastolic diameter; LVESD, left ventricular end systolic diameter; EF, ejection fraction; SV, stroke volume; SVI, stroke volume index; LAVi, left atrial volume index; MW, Myocardial Work; GWI, global work index; GCW, global constructive work; GWW, global wasted work; GWE, global work efficiency; GLS, global longitudinal strain; cfPWV, carotid femoral Pulse Wave Velocity; ABI, ankle-brachial index; Ea, arterial elastance; VAC, ventricular-arterial coupling; CI, confidence interval.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab4\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 4\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eAnalysis by multiple linear regression to the variable VAC at 6 months.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eHT6mo\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eR\u0026sup2;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eP value\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e95% CI (asymptotic)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIntercept\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.9223\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-1.320 to 1.198\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCurrent smokers\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.6514\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.648\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.002207 to 0.003509\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCurrent drinkers\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.5768\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.2352\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.005395 to 0.001363\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAGE\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.787\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.3579\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.0001719 to 0.0004653\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSBP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9965\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.2033\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.0005639 to 0.002570\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDBP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9971\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.1467\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.0006938 to 0.004493\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMAP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9982\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.1311\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.006781 to 0.0009127\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHR\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.4636\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.2288\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-5.061e-005 to 0.0002056\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBSA\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9917\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e0.0418\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.002353 to 0.1185\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIVST\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.6724\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.9519\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.001646 to 0.001550\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePWT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9981\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e0.0039\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.01321 to 0.06463\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRWT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9986\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e0.0053\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-1.460 to -0.2718\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLVEDD\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9924\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e0.0078\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.01132 to -0.001828\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLVESD\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.6765\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.7537\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.0008960 to 0.001228\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEF\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.4162\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.573\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.0002677 to 0.0001502\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSV\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9971\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.3388\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.004876 to 0.001717\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSVi\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9943\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e0.0493\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e9.617e-006 to 0.005613\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLAVi\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.6189\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.5069\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.0006361 to 0.0003193\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eE/e\u0026rsquo;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.6216\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.593\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.001873 to 0.001084\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMW GWE\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9957\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.2755\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.5962 to 2.038\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMW GWI\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.4854\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.0621\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-1.287e-005 to 3.328e-007\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMW GCW\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9818\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.5162\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-3.804e-005 to 1.941e-005\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMW GWW\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9963\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.2384\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.0002039 to 0.0007965\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eStrain GLS\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.3557\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.0001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.02262 to -0.02113\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ecfPWV\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.6052\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.0001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.04522 to 0.05089\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eABI\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.4202\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.0725\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.001392 to 0.03048\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEa (SBP x 0.9 / SV)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9972\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.9529\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.08216 to 0.07747\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"4\"\u003eHT 6mo, hypertensives at 6 months; SBP, systolic blood pressure; DBP, diastolic blood pressure; MAP, mean arterial pressure; HR, heart rate; BSA, body surface area; IVST, interventricular septum thickness; PWT, posterior wall thickness; RWT, ratio of wall thickness; LVEDD, left ventricular end diastolic diameter; LVESD, left ventricular end systolic diameter; EF, ejection fraction; SV, stroke volume; SVI, stroke volume index; LAVi, left atrial volume index; MW, Myocardial Work; GWI, global work index; GCW, global constructive work; GWW, global wasted work; GWE, global work efficiency; GLS, global longitudinal strain; cfPWV, carotid femoral Pulse Wave Velocity; ABI, ankle-brachial index; Ea, arterial elastance; VAC, ventricular-arterial coupling; CI, confidence interval.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab5\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 5\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eAnalysis by multiple linear regression to the variable VAC at 12 months.\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003ccolgroup cols=\"4\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003eHT12mo\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e\u0026nbsp;\u003c/th\u003e \u003cth align=\"left\" colname=\"c4\"\u003e\u0026nbsp;\u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eR\u0026sup2;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eP value\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e95% CI (asymptotic)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIntercept\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e\u0026nbsp;\u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.7223\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-1.475 to 1.031\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCurrent smokers\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.5734\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.8328\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.002490 to 0.002016\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eCurrent drinkers\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.4336\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.8408\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.002802 to 0.002292\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eAGE\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.697\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.8102\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.0002050 to 0.0002608\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSBP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.99\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.4023\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.002247 to 0.0009198\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDBP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.996\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.5154\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.002881 to 0.001468\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMAP\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9963\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.4945\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.002157 to 0.004393\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHR\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.6715\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.5565\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-7.849e-005 to 0.0001437\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eBSA\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9943\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.9639\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.06254 to 0.06542\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eIVST\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.685\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.7643\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.001623 to 0.001201\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ePWT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.8296\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.415\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.001407 to 0.003344\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eRWT\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.8901\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.679\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.06818 to 0.04485\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLVEDD\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.7574\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.788\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.0008299 to 0.0006337\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLVESD\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.4662\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.4061\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.0004331 to 0.001049\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEF\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.3162\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.7648\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.0001408 to 0.0001902\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSV\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9952\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.7649\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.002045 to 0.002761\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSVi\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9958\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.9814\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.002716 to 0.002654\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eLAVi\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.5956\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.689\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.0003668 to 0.0005497\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eE/e\u0026rsquo;\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.5532\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.9798\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.001275 to 0.001307\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMW GWE\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9964\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.3131\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.6412 to 1.953\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMW GWI\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.5085\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.5776\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-7.591e-006 to 4.289e-006\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMW GCW\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9835\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.4092\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-3.875e-005 to 1.610e-005\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eMW GWW\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.9966\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.3608\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.0002743 to 0.0007372\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eStrain GLS\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.2717\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.0001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.02044 to -0.01914\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003ecfPWV\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.6769\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cb\u003e\u0026lt;\u0026thinsp;0.0001\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e0.04513 to 0.04995\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eABI\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.4654\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.9791\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.01688 to 0.01644\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eEa (SBP x 0.9 / SV)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003e0.995\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e0.8105\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c4\"\u003e \u003cp\u003e-0.06222 to 0.07912\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003ctfoot\u003e \u003ctr\u003e\u003ctd colspan=\"4\"\u003eHT 12mo, hypertensives at 12 months; SBP, systolic blood pressure; DBP, diastolic blood pressure; MAP, mean arterial pressure; HR, heart rate; BSA, body surface area; IVST, interventricular septum thickness; PWT, posterior wall thickness; RWT, ratio of wall thickness; LVEDD, left ventricular end diastolic diameter; LVESD, left ventricular end systolic diameter; EF, ejection fraction; SV, stroke volume; SVI, stroke volume index; LAVi, left atrial volume index; MW, Myocardial Work; GWI, global work index; GCW, global constructive work; GWW, global wasted work; GWE, global work efficiency; GLS, global longitudinal strain; cfPWV, carotid femoral Pulse Wave Velocity; ABI, ankle-brachial index; Ea, arterial elastance; VAC, ventricular-arterial coupling; CI, confidence interval.\u003c/td\u003e\u003c/tr\u003e \u003c/tfoot\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eIn HTN, a reduction in GWI, GCW, and GWW in the investigated MW components at 12 months and an improvement in GWE at 6 and 12 months were observed. Despite the trend at 6 months of a reduction in GWI, GCW, and GWW, none reached statistical significance. In HTN, a reduction in GLS, cfPWV, Ea, and VAC was observed at 6 and 12 months (Fig.\u0026nbsp;3).\u003c/p\u003e \u003cp\u003eAt day 0, the variables MW GWI, MW GWW, current drinkers, and E/e\u0026rsquo; were linearly related to VAC (Fig.\u0026nbsp;4). At 6 months the variables BSA, PWT, RWT, LVEDD, SVi, GLS, and cfPWV were found to be linearly related to VAC (Fig.\u0026nbsp;5). At 12 months the variables GLS, and cfPWV were linearly related to VAC (Fig.\u0026nbsp;6). Analysis indicated a strong trend to linear correlation to VAC for BSA, SBP, DBP, MAP, and Ea, although none were statistically significant.\u003c/p\u003e"},{"header":"Discussion","content":"\u003cp\u003eIn our study, we found no difference in VAC between HTN and NT groups. Along with HR and BP, specifically SBP and MAP (with a positive trend ​​towards significance for DBP), MW (in its components GWI, GCW, and GWW) was found to be higher in HT than NT. By assessment of the HTN group at the two follow-ups at 6 and 12 months, BP, EF, MW (in its components GWI, GCW, and GWW), VAC, Ea, cfPWV and GLS were significantly improved. Analysis of the impact of VAC on the parameters investigated in this study highlighted that VAC was linearly related to cfPWV and GLS after lifestyle changes and hypertensive drug treatment. In addition to cfPWV and GLS, MW (in its components GWI and GWW), current drinking and E/e\u0026rsquo; were found to be linearly related to VAC at day 0, whereas the variables BSA, PWT, RWT, LVEDD, and SVi, were found to be linearly related to VAC at 6 months.\u003c/p\u003e \u003cp\u003eNotwithstanding no significant difference in VAC, significant difference in BP, HR and MW was observed between the two groups, highlighting the pre-clinical role of an increase in sympathetic activity in the onset of hypertension even in middle-aged HTN. Furthermore, along with EF and GLS, MW components were valid indicators of LV systolic function, even at the early onset of hypertension, providing a more comprehensive appraisal of LV systolic function.\u003csup\u003e\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e,\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e,\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eDespite the positive trend of lifestyle changes at 6 months, the improvement of the parameters VAC, Ea, MW, cfPWV, EF, and GLS was more evident after the onset of antihypertensive therapy, demonstrating the benefit of a further reduction in BP. These data align with the current guidelines on further restricting BP ​​in terms of normal ranges, highlighting the paramount impact of BP in the management of sub-clinical hypertension.\u003csup\u003e\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eAs a consequence of the improvement of VAC, Ea, MW, cfPWV, EF, and GLS by lowering of BP and HR and changes in lifestyle (such as body weight loss, physical exercise, smoking cessation and reduction in salt and alcohol consumption), the improvement in systolic function by reduction of sympathetic overdrive and its significant effect on BP and HR was evidenced. In addition to aging as an independent contributor to the deterioration of diastolic function, the significant correlation between the echocardiographic parameter E/e' ratio and VAC in HT was observed by echocardiographic signs of an early effect of high BP values ​​on diastolic function.\u003csup\u003e\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e,\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eDespite no statistically significance, the increase in VAC in the young hypertensive population compared to the healthy individuals was based on an increase in cfPWV and a reduction in GLS. The two determinants cfPWV and GLS for the calculation of VAC were found significantly related to VAC at 6 and 12 months, easily predictable as VAC\u0026thinsp;=\u0026thinsp;PWV / GLS, deducing that simultaneously arterial stiffness and LV systolic function are progressively altered.\u003csup\u003e\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e,\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e\u003c/sup\u003e This is dependant upon the progressive hardening of the arteries by aging (mostly in the population with exposure to risk factors such as tachycardia, high BP, and smoking) that determined a progressive increase in the pulse wave transmission with consequent effect given by the return to the heart of the anterograde pulse wave at an earlier time point during the late systolic phase of the cardiac cycle. As a consequence of this, constantly increased afterload affected a progressive impairment of cardiac function with progressive reduction of GLS.\u003csup\u003e\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e\u003c/sup\u003e Concerning the effect of medical treatment on BP, BP control ​​occurred with antihypertensive drugs in monotherapy and dual therapy. As predictable, dual drug antihypertensive treatment was more effective in reducing both BP and VAC compared to single drug antihypertensive treatment.\u003csup\u003e\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e,\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eAs demonstrated by other research, VAC was associated with the prevalence of both hypertension and other cardiovascular risk factors, such as active smoking, alcohol consumption, and increased HR, highlighting reports that it is the most significant predictor of risk.\u003csup\u003e\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e,\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e,\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e\u003c/sup\u003e In agreement with the studies of Holm H et al. and Stoichescu-Hogea G et al., VAC and cfPWV were found higher and GLS lower ​than in the control population. The former was found to be especially associated with age and active smoking; the latter found to be worse in coronary artery disease and HTN vs HTN vs group control. Compared to the aformentioned studies, the investigated population in our study did not have additional cardiovascular risk factors or organ damage, highligthing that in early stage of hypertension these parameters were not statistically significant.\u003csup\u003e\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e,\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e,\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e,\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e,\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e,\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e\u003c/sup\u003e The finding of no significant difference in VAC was mainly due to the small sample size and lack of longitudinal analysis in NT. Furthermore, as the investigated population was not elderly and without cardiovascular diseases, it was demonstrated that this parameter was not altered in middle-aged HTN at early stage of hypertension. As left VAC represents both a parameter that characterizes the energetic cost, particularly when the LV function is changed, and a hemodynamic measure linked to patient outcomes,\u003csup\u003e\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e,\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e\u003c/sup\u003e this highlights the importance of observing small changes in the pre-clinical context, such as arterial hypertension without organ damage.\u003csup\u003e\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e\u003c/sup\u003e On the other hand, in the population studied, MW was demonstrated to be sensitive to impairment even in young HTN, highlighting it to be more affected at early stages from augmentations in sympathetic increases in BP and HR. In addition, as MW was observed to be statistically higher in HT without other cardiovascular risk factors or organ damage, this parameter can account for BP and myocardial energy consumption at the onset of hypertension and not only in overt cardiovascular diseases.\u003csup\u003e\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e,\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e,\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003eThe NORRE substudy, was the first to offer data on age-related changes in GWI and GCW among both males and females. In women, values increased, whereas in men, they remained unchanged, with an increase primarily associated with elevated SBP alone. Additionally, GWW and GWE values were found to increase in men and decrease in women, with no significant age-related differences (Table\u0026nbsp;\u003cspan refid=\"Tab6\" class=\"InternalRef\"\u003e6\u003c/span\u003e).\u003csup\u003e\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e\u003c/sup\u003e GWI represents the area within the LV loop quantifying the work performed by the LV throughout the entire mechanical energy between MVC and MVO; GCW represents the positive work performed by shortening during IVC and systole and the negative work by lengthening during filling, quantifying the energy consumed by the myocardium that effectively contributes to CO; GWW represents negative work by lengthening during IVC and systole and positive work by shortening during IVR, quantifying the wasted energy by the myocardium that does not contribute to CO. As a consequence of this, to complete the mechano-energetic study, the assessment of MW adds, through its components (GWI, GCW, GWW, GWE), a greater definition of myocardial energy expenditure both in the evaluation of the amount of MW performed by the left ventricle during systole and the amount of MW that participates or does not in ejection. We observed that at early stage of arterial hypertension, GWI, GCW, GWW are higher indicating an increase in MW expenditure. Through lifestyle changes and anti-hypertensive drug treatment, these parameters tend to be renormalized, indicating a better mechano-energetic efficiency.\u003csup\u003e\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e\u003c/sup\u003e Therefore, myocardial mechano-energetic efficiency represented as a surrogate of MW was found to be more sensitive and with higher impact than VAC and other parameters studied at early stage of hypertension in middle-aged HTN.\u003csup\u003e\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e,\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e,\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e\u003c/sup\u003e\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab6\" border=\"1\"\u003e \u003ccaption language=\"En\"\u003e \u003cdiv class=\"CaptionNumber\"\u003eTable 6\u003c/div\u003e \u003cdiv class=\"CaptionContent\"\u003e \u003cp\u003eMW in all its components\u003c/p\u003e \u003c/div\u003e \u003c/caption\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e\u003cp\u003e\u003cimg 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\"\u003e\u003c/p\u003e\n\u003cp\u003eUsed with permission from Dr. Federica Ilardi, April 8, 2024.\u0026nbsp;\u003c/p\u003e \u003cp\u003eIn light of these results, in addition to BP and HR controls, the sub-clinical assessment of LV systolic and diastolic functions can be investigated in clinical practice in young people at early stage of hypertension by calculating MW and the E/e\u0026rsquo; ratio, respectively. Longitudinal studies with larger sample of young HT could provide additional robust results in order to define the significant role of VAC and the other parameters investigated in this study in terms of cardiovascular prevention for more accurate management and assessment in clinical practice.\u003c/p\u003e \u003cp\u003e \u003cstrong\u003eLimitations of the study\u003c/strong\u003e \u003cp\u003eThis study has several limitations. The number of people investigated was small and the timeframe brief. A longitudinal study on the healthy population was not performed, so that the HTN and NT groups were not compared at 6 and 12 months. Also, VAC was non-invasively calculated. This study did not analyze all stages of hypertension and HT with organ damage.\u003c/p\u003e \u003c/p\u003e"},{"header":"Conclusions","content":"\u003cp\u003eVAC was found to be advantageous in early stage middle-aged HT for the assessment of the cardiovascular system. In addition to VAC, the parameters Ea, MW, cfPWV, GLS, and EF were highlighted to be altered even in early stage of hypertension and statistically improved after lifestyle changes or antihypertensive drug treatment. Since hypertension is both an important independent risk factor for cardiovascular disease and endothelial dysfunction, this study highlights the clinical impact of cardiovascular prevention in young HT, particularly in active smokers and drinkers with increased HR. Despite VAC being easily determined at the patient's bedside, it still remains neglected. Further studies are needed to demonstrate the effective introduction of this parameter into clinical practice.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cp\u003eABI: Ankle Brachial Index\u003c/p\u003e\n\u003cp\u003eAVC: Aortic Valve Closure\u003c/p\u003e\n\u003cp\u003eAVO: Aortic Valve Opening\u003c/p\u003e\n\u003cp\u003eBP: Blood Pressure\u003c/p\u003e\n\u003cp\u003eBSA: Body Surface Area\u003c/p\u003e\n\u003cp\u003eCBC: Complete Blood Count\u003c/p\u003e\n\u003cp\u003ecfPWV: carotid-femoral Pulse Wave Velocity\u003c/p\u003e\n\u003cp\u003eCW: Continuous Wave\u003c/p\u003e\n\u003cp\u003eDBP: Diastolic Blood Pressure\u003c/p\u003e\n\u003cp\u003eE/e\u0026rsquo;: E wave/e\u0026rsquo; wave ratio\u003c/p\u003e\n\u003cp\u003eEa: Arterial Elastance\u003c/p\u003e\n\u003cp\u003eEF: Ejection Fraction\u003c/p\u003e\n\u003cp\u003eESC: European Society of Cardiology\u003c/p\u003e\n\u003cp\u003eET: Ejection Time\u003c/p\u003e\n\u003cp\u003eGCW: Global Constructed Work\u003c/p\u003e\n\u003cp\u003eGFR: Glomerular Filtration Rate\u003c/p\u003e\n\u003cp\u003eGLS: Global Longitudinal Strain\u003c/p\u003e\n\u003cp\u003eGWE: Global Work Efficiency\u003c/p\u003e\n\u003cp\u003eGWI: Global Work Index\u003c/p\u003e\n\u003cp\u003eGWW: Global Wasted Work\u003c/p\u003e\n\u003cp\u003eHb: Hemoglobin\u003c/p\u003e\n\u003cp\u003eHDL: High-density lipoproteins\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eHR: Heart Rate\u003c/p\u003e\n\u003cp\u003eHTN: Hypertensives\u003c/p\u003e\n\u003cp\u003eIMT: Intima-Media Thickness\u003c/p\u003e\n\u003cp\u003eIVC: Isovolumetric Contraction\u003c/p\u003e\n\u003cp\u003eIVR: Isovolumetric Relaxation\u003c/p\u003e\n\u003cp\u003eIVST: Interventricular Septum Thickness\u003c/p\u003e\n\u003cp\u003eLAV: Left atrial volume\u003c/p\u003e\n\u003cp\u003eLAVi: Left Atrial Volume Index\u003c/p\u003e\n\u003cp\u003eLDL: Low-density lipoproteins\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eLVEDD: Left Ventricular End Diastolic Diameter\u003c/p\u003e\n\u003cp\u003eLVEDV: Left Ventricular End Diastolic Volume\u003c/p\u003e\n\u003cp\u003eLVESD: Left Ventricular End Systolic Diameter\u003c/p\u003e\n\u003cp\u003eLVESV: Left Ventricular End Systolic Volume\u003c/p\u003e\n\u003cp\u003eLVOT: Left Ventricular Outflow Tract\u003c/p\u003e\n\u003cp\u003eLV: Left Ventricular\u003c/p\u003e\n\u003cp\u003eMAP: Mean Arterial Pressure\u003c/p\u003e\n\u003cp\u003eMW: Myocardial Work\u003c/p\u003e\n\u003cp\u003eMWI: Myocardial Work Index\u003c/p\u003e\n\u003cp\u003eMVC: Mitral Valve Closure\u003c/p\u003e\n\u003cp\u003eMVO: Mitral Valve Opening\u003c/p\u003e\n\u003cp\u003eNa2EDTA: disodium ethylenediaminetetraacetate\u003c/p\u003e\n\u003cp\u003eNT: Normotensives\u003c/p\u003e\n\u003cp\u003ePLT: Platelets\u003c/p\u003e\n\u003cp\u003ePSL: Pressure Strain Loop\u003c/p\u003e\n\u003cp\u003ePTT: Pulse Transit Time\u003c/p\u003e\n\u003cp\u003ePWT: Posterior Wall Thickness\u003c/p\u003e\n\u003cp\u003ePW: Pulsed Wave\u003c/p\u003e\n\u003cp\u003ePWV: Pulse Wave Velocity\u003c/p\u003e\n\u003cp\u003eROI: Region of Interest\u003c/p\u003e\n\u003cp\u003eRPM: Revolutions per Minute\u003c/p\u003e\n\u003cp\u003eRWT: Relative Wall Thickness\u003c/p\u003e\n\u003cp\u003eSBP: Systolic Blood Pressure\u003c/p\u003e\n\u003cp\u003eSV: Stroke Volume\u003c/p\u003e\n\u003cp\u003eSvi: Stroke Volume Index\u003c/p\u003e\n\u003cp\u003eVAC: Ventricular-Arterial Coupling\u003c/p\u003e\n\u003cp\u003eWBC: White Blood Cells\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgements\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eGeorge W. Booz acknowledges the support of the Pharmacology Clinical Research Core of the University of Mississippi Medical Center. \u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eAuthor Contributions\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eAndrea Vitali conceived the idea behind the manuscript and contributed to the literature search, analyses, writing, original draft, and editing of the manuscript. Giuseppe Biondi Zoccai, George W. Booz and Raffaele Altara contributed to the literature search, analyses, writing, and editing of the manuscript. All authors read and approved the final version of the manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003eFunding\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;George W. Booz was supported in part by the National Institute of General Medical Sciences of the National Institutes of Health under Award Number P20GM121334. \u0026nbsp;The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp;\u003cstrong\u003eConflicts of Interest\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors affirm that they have no conflicts of interest to declare.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n \u003cli\u003eVitali A, Zouein FA, Booz GW, Altara R. Prognostic Utility of Assessing Ventricular-Arterial Coupling in Arterial Hypertension and Cardiovascular Diseases. \u003cem\u003eMinerva Cardiology and Angiology\u003c/em\u003e 2024-5.\u003c/li\u003e\n \u003cli\u003eVitali A, Zouein F A, Booz G W, Altara R. 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Expert consensus document on the measurement of aortic stiffness in daily practice using carotid-femoral pulse wave velocity. \u003cem\u003eJ Hypertens\u003c/em\u003e 2012; \u003cstrong\u003e30\u003c/strong\u003e(3)\u003cstrong\u003e:\u003c/strong\u003e 445-448.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"journal-of-human-hypertension","isNatureJournal":false,"hasQc":false,"allowDirectSubmit":false,"externalIdentity":"jhh","sideBox":"Learn more about [Journal of Human Hypertension](http://www.nature.com/jhh/)","snPcode":"41371","submissionUrl":"https://mts-jhh.nature.com/cgi-bin/main.plex","title":"Journal of Human Hypertension","twitterHandle":"@jhhypertension","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"ejp","reportingPortfolio":"Nature AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"arterial elastance, arterial hypertension, pulse wave velocity, global longitudinal strain, myocardial work.","lastPublishedDoi":"10.21203/rs.3.rs-6189873/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6189873/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBACKGROUND.\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eVentricular-arterial coupling (VAC) is altered by aging and cardiovascular comorbidities, indicating myocardial dysfunction and/or arterial stiffness. Our aim was to demonstrate whether lifestyle changes and anti-hypertensive drug treatment would improve VAC in recently diagnosed, early stage middle-aged hypertensives (HTN) without organ damage. \u003cstrong\u003eMETHODS.\u003c/strong\u003e Arterial elastance (Ea), carotid-femoral pulse wave velocity (cfPWV), global longitudinal strain (GLS), and myocardial work (MW) [global work index (GWI), global constructive work (GCW), global wasted work (GWW), and global work efficiency (GWE)] were investigated. This retrospective observational study involved 126 individuals (mean age 40 years; 55% female), divided into HTN and normotensives, NT. Clinical, echocardiographic and echo vascular parameters were assessed. Lifestyle changes were recommended for HTN. If blood pressure (BP) values still remained high, anti-hypertensive drug treatment was administered.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eRESULTS.\u003c/strong\u003e Higher values of systolic blood pressure (SBP), mean arterial pressure (MAP), heart rate (HR), GWI, GCW, and GWW were observed in HTN. By following lifestyle changes, BP [diastolic blood pressure (DBP) and MAP], HR, VAC, Ea, cfPWV, GWE, and GLS were changed in HTN; after 6 months of anti-hypertensive drug treatment, BP (SBP, DBP and MAP), HR, VAC, Ea, cfPWV, GWI, GCW, GWW, GWE, and GLS were found to be changed. VAC was linearly related to cfPWV and GLS at two follow ups. No statistically significant difference in VAC between HTN and NT was found.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCONCLUSIONS.\u003c/strong\u003e Along with a decrease in BP, smoking cessation, and HR control highlighted a significant role in cardiovascular prevention by improvement of VAC, Ea, cfPWV, GLS and MW.\u003c/p\u003e","manuscriptTitle":"Assessment of Ventricular-Arterial Coupling in Early Stage Middle-Aged Hypertensives","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-03-27 17:01:58","doi":"10.21203/rs.3.rs-6189873/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"revise","date":"2025-04-24T15:31:34+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"This content is not available.","date":"2025-04-18T10:43:14+00:00","index":2,"fulltext":"This content is not available."},{"type":"reviewerAgreed","content":"This content is not available.","date":"2025-04-18T08:10:00+00:00","index":2,"fulltext":"This content is not available."},{"type":"editorInvitedReview","content":"This content is not available.","date":"2025-04-07T13:36:37+00:00","index":1,"fulltext":"This content is not available."},{"type":"reviewerAgreed","content":"This content is not available.","date":"2025-03-26T09:18:20+00:00","index":1,"fulltext":"This content is not available."},{"type":"reviewersInvited","content":"","date":"2025-03-19T10:28:51+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-03-19T02:55:04+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-03-14T16:30:40+00:00","index":"","fulltext":""},{"type":"submitted","content":"Journal of Human Hypertension","date":"2025-03-13T18:36:29+00:00","index":"","fulltext":""},{"type":"checksFailed","content":"","date":"2025-03-12T16:20:44+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"journal-of-human-hypertension","isNatureJournal":false,"hasQc":false,"allowDirectSubmit":false,"externalIdentity":"jhh","sideBox":"Learn more about [Journal of Human Hypertension](http://www.nature.com/jhh/)","snPcode":"41371","submissionUrl":"https://mts-jhh.nature.com/cgi-bin/main.plex","title":"Journal of Human Hypertension","twitterHandle":"@jhhypertension","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"ejp","reportingPortfolio":"Nature AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"a7b96d6a-5b0b-4f19-a4a1-b832154b5838","owner":[],"postedDate":"March 27th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[{"id":45902244,"name":"Health sciences/Medical research"},{"id":45902245,"name":"Health sciences/Health care"}],"tags":[],"updatedAt":"2025-06-26T15:33:17+00:00","versionOfRecord":[],"versionCreatedAt":"2025-03-27 17:01:58","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-6189873","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-6189873","identity":"rs-6189873","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}