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Impact of valvuloarterial impedance on left ventricular reverse remodeling after aortic valve neocuspidization

Journal of Cardiothoracic Surgery volume 17, Article number: 13 (2022) Cite this article

Abstract

Background

Aortic valve neocuspidization (AVNeo) has emerged as a promising aortic valve procedure, and is expected to have a larger effective orifice area (EOA) than commercially available bioprostheses. It is, however, unclear which indices could facilitate left ventricular (LV) reverse remodeling after AVNeo. The aim of this study is to verify the impact of global left ventricular afterload on the LV reverse remodeling following AVNeo.

Methods

Data-available consecutive 38 patients (median age, 77; interquartile range, 72.8–82.0) undergoing AVNeo for severe aortic stenosis were enrolled in this study. Preoperative and the last follow-up echocardiographic data were retrospectively analyzed including the valvuloarterial impedance (Zva), a marker of global LV afterload. Reduction in LV geometry index (LVGI) and relative wall thickness (RWT) were used as an indicator for LV reverse remodeling.

Results

The Zva reduced in 24 patients (63.2%) during the follow-up period (median, 12 months). Reduction in Zva significantly correlated to improvement of LV geometry (LVGI (r = 0.400, p = 0.013) and RWT (r = 0.627, p < 0.001)), whereas increase in EOA index did not significantly correlate to LVGI (r = 0.009, p = 0.957), or RWT (r = 0.105, p = 0.529)). The reduction in Zva was the multivariate predictor of LV reverse remodeling.

Conclusions

Low global LV afterload led to significant LV reverse remodeling even after AVNeo, which could achieve better valve performance than the conventional bioprostheses.

Peer Review reports

Introduction

Left ventricular hypertrophy (LVH) is a well-recognized risk factor of left ventricular (LV) dysfunction independent of the severity of the valvular load in patients with severe aortic valve stenosis (AS) [1]. In addition to LVH, LV concentric remodeling which is represented either by an increased LV mass-to-volume ratio (left ventricular geometry index, LVGI), or by an increased LV wall thickness-to-internal diameter ratio (relative wall thickness, RWT), has been shown to independently predict LV dysfunction and adverse cardiovascular events [2,3,4].

Aortic valve replacement (AVR) could facilitate LV reverse remodeling with increased effective orifice area (EOA). Prosthesis-patient mismatch (PPM) after AVR, however, may have a negative impact on LV reverse remodeling and even on survival [5]. On the contrary, even if a patient has PPM, LV reverse remodeling could occur, and EOA alone could not fully explain the mechanism of LV reverse remodeling [6].

Valvuloarterial impedance (Zva) is an echo-derived measurement of global LV afterload including both valvular load and systemic arterial compliance (SAC) [7]. We have reported that low Zva facilitated LV reverse remodeling after AVR with externally wrapped bioprosthetic valves [8]. The aortic valve neocuspidization (AVNeo) has emerged as a promising aortic valve procedure, in which aortic valve cusps are reconstructed with glutaraldehyde-treated autologous pericardium [9], and is expected to have a larger EOA than commercially available bioprostheses [10]. It is hypothesized that low global LV afterload may also have a positive effect on LV reverse remodeling even after AVNeo. The purpose of this study is to verify the impact of global LV afterload on LV reverse remodeling following AVNeo for AS patients.

Methods

Study design

This retrospective observational study has been approved by the institutional review board of Mie University Hospital (approval date, April 11, 2019; approval number, H2019-056), and informed consent was obtained in an opt-out fashion. All data were retrieved from the medical records.

Data-available 38 patients (median age, 77; interquartile range (IQR), 72.8–82.0) undergoing AVNeo for severe AS between April 2013 and June 2018 were enrolled in this study. Patients undergoing emergency surgery, those with more than mild aortic insufficiency, those with atrial fibrillation, or those without follow-up data after operation were excluded from the study. The median follow-up period after surgery was 12 months (IQR, 6.0–31.5). This follow-up period was considered appropriate because previous studies have shown that maximum LV mass regression occurred within the first 3–4 months and that much smaller declines were observed over the subsequent years [11, 12].

Surgical procedure

The AVNeo was thoroughly explained elsewhere [9]. Briefly, after median sternotomy, the autologous pericardium is prepared with 0.6% glutaraldehyde solution for 10 min, and is rinsed for six minutes three times in saline solution. The distances between each commissures are measured with the original sizer system after removal of the aortic valve leaflets. The new cusps are trimmed from the treated autologous pericardium by using the original template. Finally, the annular margin of a pericardial cusp is attached to each annulus with 4-0 monofilament running sutures. The commissures are reinforced with additional pledgeted 4-0 mattress sutures (Fig. 1).

Fig. 1
figure 1

Surgical procedure of AVNeo. a Harvest of the autologous pericardium after median sternotomy. b and c Separation of the autologous pericardium. d Autologous pericardium being prepared with 0.6% glutaraldehyde solution. e Measurement of each annular distance between commissures with the original sizer system after removal of the leaflets. f Trimming of the autologous pericardium corresponding to the measured leaflet sizes using the original template. g Cutting out of the neo-valve cusps. h Reconstructed neo-aortic valve

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Echocardiography analyses

Echocardiography analyses were performed according to the American Society of Echocardiography [13]. Serial transthoracic echocardiography were performed within three months preoperatively, and at the last follow-up (median, 12 months; IQR, 6–31) in all patients. LV volume was calculated with modified Simpson’s method, and LV ejection fraction (LVEF) was calculated as [(LV end-diastolic volume—LV end-systolic volume)/LV end-diastolic volume] × 100. LV mass was calculated using the formula recommended by the American Society of Echocardiography and indexed to body surface area (BSA) (left ventricular mass index (LVMI)) [14]. Concentric LV structural remodeling in patients with AS is considered as a compensatory response to LV load to reduce wall stress according to the law of La Place, and defined as LVGI > 1.5 [15, 16] or RWT > 0.42 [13]. LVGI and RWT were calculated as LVGI = LVMI / LV end-diastolic volume index [2, 15,16,17]; RWT = (interventricular septal wall thickness + posterior wall thickness (PWT)) / LV end-diastolic diameter (LVEDD) or 2 × PWT / LVEDD [13, 18]. Reduction in LVGI and RWT were used as an indicator for LV reverse remodeling representing less concentric geometry after AVNeo. LV stroke volume was calculated as LV outflow tract (LVOT) area × LVOT velocity–time integral (VTI), and indexed to BSA (stroke volume index, SVI). Early transmitral filling peak velocity (E) and transmitral atrial wave velocity (A) were measured with pulsed wave Doppler. The E/A ratio was used as an index of LV diastolic function. Early diastolic mitral annular velocity (E’) was measured and E/E’ ratio was calculated to estimate LV filling pressure. Doppler echocardiographic assessments of AS severity included peak transvalvular flow velocities, and mean transvalvular pressure gradient (TPG) calculated by the modified Bernoulli equation. EOA was calculated using the standard continuity equation with pulsed-wave VTI ratio between LVOT area and aortic valve area, and indexed for BSA (effective orifice area index (EOAI)): EOA (cm2) = π × (LVOT radius)2 × (LVOT VTI / aortic valve VTI). For more accurate estimation of aortic valve area, energy loss coefficient (ELCO) was calculated and indexed for BSA (energy loss index (ELI)) using the formula: ELI (cm2/m2) = [(EOA × Aortic area)/(Aortic area – EOA)]/BSA [19]. The stroke work loss was calculated using the formula: Stroke work loss (%) = [mean TPG/(systolic arterial pressure + mean TPG)] × 100 [20]. SAC was calculated as SAC (mL/m2/mmHg) = SVI/pulse pressure. Global LV afterload was calculated by the formula: Zva (mmHg/mL/m2) = (systolic arterial pressure + mean TPG)/SVI [7]. In addition, aortic valve dimensional changes at preoperative and at the last follow-up were analyzed on the parasternal long-axis view.

Statistical analyses

Continuous variables were presented as median and IQR for non-normally distributed data, and dichotomous data were presented as numbers and percentages. Continuous variables were compared between preoperative and the last follow-up using the Wilcoxon signed-rank test. For evaluation of the correlations between global LV afterload or conventional aortic valve functional indices, and LVMI or left ventricular geometry, Pearson’s or Spearman’s correlation coefficient were calculated as appropriate. Multiple regression analysis was performed to identify independent factors for predicting LV reverse remodeling manifested by reduction in LVGI and RWT. The multivariate model included the change of Zva, EOAI, ELI, mean TPG and SAC between the values at the preoperative period and at the last follow-up. A p value less than 0.05 was considered statistically significant. All the statistical analyses were performed using IBM SPSS software, version 27.0 (IBM Corp, Armonk, NY).

Results

Patient profile

Preoperative patient characteristics are summarized in Table 1. Hypertension was present in 33 (86.8%) patients. Thirty (78.9%) patients had antihypertensive medications preoperatively. Seven patients underwent concomitant coronary artery bypass graft surgery, and three underwent concomitant procedures for the aorta.

Table 1 Preoperative patient characteristics
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Operative and postoperative results

Two patients had bicuspid aortic valve and the others had tricuspid valve. The median circumferential distance of the aortic valve measured by the original sizer system was 75 mm (IQR, 71–85). The median operation, cardiopulmonary bypass and cardioplegic arrest times were 333 min (IQR, 307–407), 196 (IQR, 178–240) and 147 (IQR, 135–162), respectively. Thirty five (92.1%) patients had antihypertensive medications postoperatively. One patient needed reoperation due to a torn cusp; however, there were no infective endocarditis (IE), no thromboembolism, or no death and no other adverse cardiovascular events during the study period. Thirty five patients (92.1%) had improvement in postoperative New York Heart Association (NYHA) functional classification; however, four patients remained in NYHA II status. No patient were in more than NYHA II status.

Echocardiographic and hemodynamic characteristics

Preoperative and the last follow-up echocardiography analyses are summarized in Table 2. Transvalvular peak velocity and mean TPG reduced significantly with increased EOAI and ELI. Stroke work loss also reduced after surgery. SAC had no improvement during the study period; however, Zva reduced in 24 patients (63.2%). Some patients showed little reduction of mTPG. These patients had relatively low preoperative mTPG, or low-flow, low-gradient AS due to low cardiac output. One patient had paradoxically higher Zva than the preoperative value because the patient had low-flow, low-gradient AS with preoperative LVEF of 43.5%, and the LVEF even decreased to 30.1% with reduced SVI postoperatively in spite of an improved mTPG from 42.4 mmHg to 5.5.

Table 2 Echocardiography results
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Aortic valve dimensional changes

The aortic annular diameter at end-diastolic and end-systolic phase, and the aortic valve coaptation depth were analyzed in all cases by preoperative and the last follow-up echocardiography. Diastolic phase aortic annular diameter changed statistically significantly from 21.0 mm (IQR, 20.4–22.0) preoperatively to 20.8 (IQR, 20.0–22.0) at the last follow-up (p = 0.041). Systolic phase aortic annular diameter had no significant change between preoperative and the last follow-up (Fig. 2a). The aortic annular diameter after AVNeo changed significantly during the cardiac cycle from 20.8 mm (IQR, 20.0–22.0) in diastolic phase to 22.0 (IQR, 21.0–23.0) in systolic phase (p < 0.001), which was similar to the preoperative status. Percent change of the aortic annular diameter during the cardiac cycle increased significantly after AVNeo from 2.3% (IQR, 0.0–4.8) preoperatively to 4.8 (IQR, 3.8–7.3) (p < 0.001) (Fig. 2b). In addition, the aortic valve coaptation depth after AVNeo increased significantly from 2.5 mm (IQR, 2.0–4.0) preoperatively to 11.5 (IQR, 10.0–12.0) (p < 0.001) (Fig. 2c).

Fig. 2
figure 2

Aortic valve dimensional changes. a Changes in the aortic annular diameter during the cardiac cycle. b Percent change of the aortic annular diameter during the cardiac cycle at preoperative and at the last follow-up. c Change in the aortic valve coaptation depth

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LV reverse remodeling after AVNeo

LVMI reduced significantly from 153.0 g/m2 (IQR, 127.3–187.7) to 111.3 (IQR, 96.8–135.5) (p < 0.001). LVGI reduced significantly from 2.06 g/mL (IQR, 1.83–2.26) to 0.68 (IQR, 0.42–1.17) (p < 0.001), and RWT also reduced from 0.49 (IQR, 0.45–0.54) to 0.46 (IQR, 0.40–0.53) (p = 0.060). Correlations between changes of conventional aortic valve functional indices or SAC, and changes of LVGI or RWT are shown in Figs. 3 and 4. Reduction in mean TPG had significant correlation with reduction in RWT (r = 0.434, p = 0.006). Figure 5 shows correlations between postoperative Zva and reduction in LVMI. The normal Zva (≤ 3.5 mmHg/mL/m2) group had significant correlation with reduction in LVMI (n = 21, r = − 0.403, p = 0.035), whereas the high Zva (> 3.5) group did not. Figure 6 shows significant correlations between reduction in Zva and changes in LV geometry (reduction in LVGI (r = 0.400, p = 0.013) and reduction in RWT (r = 0.627, p < 0.001)). Reduction in Zva was the multivariate predictor of LV reverse remodeling, whereas changes of neo-valve functional indices and SAC were not (Table 3).

Fig. 3
figure 3

Correlation between reduction in LVGI and aortic valve functional indices, or SAC. a Correlation between reduction in LVGI and increase in EOAI. b Correlation between reduction in LVGI and increase in ELI. c Correlation between reduction in LVGI and reduction in mTPG. d Correlation between reduction in LVGI and increase in SAC

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Fig. 4
figure 4

Correlation between reduction in RWT and aortic valve functional indices, or SAC. a Correlation between reduction in RWT and increase in EOAI. b Correlation between reduction in RWT and increase in ELI. c Correlation between reduction in RWT and reduction in mTPG. d Correlation between reduction in RWT and increase in SAC

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Fig. 5
figure 5

Correlation between Zva and reduction in LVMI. a Correlation between normal Zva group (Zva ≤ 3.5 mmHg/mL/m2) and reduction in LVMI. b Correlation between high Zva group (Zva > 3.5) and reduction in LVMI

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Fig. 6
figure 6

Correlation between reduction in Zva and changes in LV geometry. a Correlation between reduction in Zva and reduction in LVGI. b Correlation between reduction in Zva and reduction in RWT

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Table 3 Multivariate analyses for predicting left ventricular reverse remodeling
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Discussion

The major finding of the present study were that reduction in global LV afterload was a significant predictor of LV reverse remodeling after AVNeo for AS patients.

AVNeo with glutaraldehyde-treated autologous pericardium has emerged as a promising aortic valve procedure [9]. Several studies have reported good clinical results with AVNeo. AVNeo has been described to be a safe and reproducible procedure with excellent postoperative valve function and hemodynamics [21,22,23,24,25]. Among several studies with relatively long observation periods, Ozaki and colleagues [21] reported that actuarial freedom from death, cumulative incidence of reoperation, and the recurrent moderate or greater aortic regurgitation were 85.9%, 4.2%, and 7.3%, respectively in 850 patients with various aortic valve disease during the mean follow-up period of 53.7 ± 28.2 months. Freedom from death was comparable to that after AVR with bioprosthetic valves [22]. In addition, they also reported that among the 15 re-operated patients, 13 had IE, one had a broken suture material, and another had a cusp tear. In terms of valve function, they reported that postoperative echocardiography showed a peak TPG of 15.2 ± 6.3 mmHg at 8 years postoperatively. Other studies have shown that the patients undergoing AVNeo had less TPGs and larger EOA than those with conventional AVR, and that physiological motion of the aortic annulus was preserved after AVNeo [23]. Moreover, AVNeo has some advantages including large EOA in small aortic valve annulus, and anticoagulation-free postoperative management [10]. In the present study, trans-valvular flow velocity, TPGs, EOA and EOAI significantly improved, and LVMI reduced significantly after AVNeo. Mean TPG and EOAI after AVNeo in the present study were better than those with bioprosthetic AVR reported in other studies [24, 25]. In addition, the aortic annular motion was preserved even after AVNeo and the dynamic changes of annular diameter during the cardiac cycle increased more than the preoperative status. However, it has been unclear whether large EOA itself could solely contribute to LV reverse remodeling after AVNeo.

Conventional indices of neo-aortic valve function, such as trans-valvular flow velocity, TPGs and EOA, significantly improved after surgery in the present study. ELCO and ELI were also calculated for more accurate evaluation of the reconstructed valve. ELCO and ELI take into account the pressure recovery phenomenon, and is considered nearly equal to the valve EOA measured by catheterization [19]. In the present study, EOAI and ELI significantly increased after AVNeo; however, increase in EOAI or ELI were not correlated with LV reverse remodeling.

The Zva is an estimation of global LV afterload in AS patients [7], and can be measured by echocardiography in clinical practice. Consequently, the prognostic factors in AS patients such as blood pressure, arterial compliance and SVI as well as aortic valvular load are reflected in the formula of Zva. Aortic insufficiency and atrial fibrillation may affect TPGs and SVI, and lead to incorrect Zva quantification. In several studies, Zva was associated with improvement in LV function and in prognosis of AS patients [8, 26,27,28]. Hachicha and colleagues reported that survival was significantly lower in high Zva group (Zva > 3.5 mmHg/mL/m2) than normal (low) Zva group (Zva ≤ 3.5) or the age- and sex-matched control population [26]. Huded and colleagues reported that the baseline Zva in severe AS patients could predict the prognosis after AVR [27]. Katsanos and colleagues reported that the baseline Zva was an independent predictor of the mid-term mortality after transcatheter aortic valve implantation [28]. We also reported that the postoperative Zva was significantly related to LV mass regression after AVR using externally wrapped pericardial valves, and that patients with a normal postoperative Zva had significant reduction in LVMI [8]. These studies show the importance of Zva in predicting LV reverse remodeling and the survival in AS patients. In the present study, postoperative Zva was significantly correlated with reduction in LVMI in normal postoperative Zva group. Moreover reduction in Zva was also significantly related to improved LV concentric geometry after AVNeo. On the other hand, 14 patients had higher postoperative Zva, whereas all of them had significantly improved mTPG and larger EOA by AVNeo. Decreased SVI, and increased blood pressure (11 of 14 cases, 78.6%) most likely contributed to this result, and had a negative impact on the Zva values.

In evaluating LV reverse remodeling in AS patients, it is necessary to consider the presence of hypertension in addition to aortic valve function. Hypertension, as well as valve load, has been associated with negative LV reverse remodeling. Helder and colleagues reported that lower systolic blood pressure with beta-blockers and calcium-channel blockers was associated with LV mass regression after AVR using the Trifecta bioprosthetic valve [29]. Other meta-analysis have shown that angiotensin-converting enzyme inhibitors, angiotensin II receptor blockers, and calcium channel blocker contributed to significant LV mass reduction in comparison with beta-blocker [30]. AS is not an isolated valve disease and should be considered as a systemic atherosclerotic process involving valve stenosis and reduced SAC, which may be often overlooked in daily clinical practice. In the present study 92.1% of patients were on various antihypertensive medications at the last follow-up, and SAC significantly improved during the follow-up period. LV reverse remodeling after AVNeo may be facilitated if the global LV afterload is maintained as low as possible with proper use of vasodilators for the treatment of hypertension which often coexists in AS patients.

Limitations

The main limitation is its retrospective nature in a single center with a small number of cases during a relatively short study period. The midterm outcomes after AVNeo are favorable; however, the longest follow-up period even in the longest series is 118 months [21], which is not considered long enough to ensure the durability of the neo-valve. On the other hand, the prosthetic valve replacement is still the gold standard treatment because of the good durability [31]. Therefore, it is difficult to draw any definite conclusions in comparison to the prosthetic valve replacement from the present study. The durability of the neo-valve needs to be validated by large-scale, long-term, multicenter and randomized prospective studies in the future, and then it may be possible to compare the functions of the neo-valve with that of prosthetic valves in detail.

Conclusions

The reduction in Zva, an index of the global LV afterload, was significantly correlated to LV reverse remodeling after AVNeo. This might suggest that reducing the global LV afterload is important factor in enhancing LV reverse remodeling even after AVNeo which could make larger EOA than the usual bioprostheses. Zva could be used as a therapeutic target for LV reverse remodeling after surgery.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Abbreviations

AVNeo:

Aortic valve neocuspidization

EOA:

Effective orifice area

LV:

Left ventricular

Zva:

Valvuloarterial impedance

LVGI:

Left ventricular geometry index

RWT:

Relative wall thickness

LVH:

Left ventricular hypertrophy

AS:

Aortic valve stenosis

AVR:

Aortic valve replacement

PPM:

Prosthesis-patient mismatch

SAC:

Systemic arterial compliance

IQR:

Interquartile range

LVEF:

Left ventricular ejection fraction

BSA:

Body surface area

LVMI:

Left ventricular mass index

PWT:

Posterior wall thickness

LVEDD:

Left ventricular end-diastolic diameter

LVOT:

Left ventricular outflow tract

VTI:

Velocity–time integral

SVI:

Stroke volume index

E:

Early transmitral filling peak velocity

A:

Transmitral atrial wave velocity

E’:

Early diastolic mitral annular velocity

TPG:

Transvalvular pressure gradient

EOAI:

Effective orifice area index

ELCO:

Energy loss coefficient

ELI:

Energy loss index

IE:

Infective endocarditis

NYHA:

New York Heart Association

References

  1. Kupari M, Turto H, Lommi J. Left ventricular hypertrophy in aortic valve stenosis: preventive or promotive of systolic dysfunction and heart failure? Eur Heart J. 2005;26:1790–6.

    Article  Google Scholar 

  2. Bluemke DA, Kronmal RA, Lima JA, Liu K, Olson J, Burke GL, et al. The relationship of left ventricular mass and geometry to incident cardiovascular events: the MESA (Multi-Ethnic Study of Atherosclerosis) study. J Am Coll Cardiol. 2008;52:2148–55.

    Article  Google Scholar 

  3. Pierdomenico SD, Lapenna D, Bucci A, Manente BM, Cuccurullo F, Mezzetti A. Prognostic value of left ventricular concentric remodeling in uncomplicated mild hypertension. Am J Hypertens. 2004;17:1035–9.

    Article  Google Scholar 

  4. Milani RV, Lavie CJ, Mehra MR, Ventura HO, Kurtz JD, Messerli FH. Left ventricular geometry and survival in patients with normal left ventricular ejection fraction. Am J Cardiol. 2006;97:959–63.

    Article  Google Scholar 

  5. Hong S, Yi G, Youn YN, Lee S, Yoo KJ, Chang BC. Effect of the prosthesis-patient mismatch on long-term clinical outcomes after isolated aortic valve replacement for aortic stenosis: a prospective observational study. J Thorac Cardiovasc Surg. 2013;146:1098–104.

    Article  Google Scholar 

  6. Kitamura T, Torii S, Hanayama N, Oka N, Tomoyasu T, Irisawa Y, et al. Moderate prosthesis-patient mismatch may be negligible in elderly patients undergoing conventional aortic valve replacement for aortic stenosis. Int Heart J. 2013;54:11–4.

    Article  Google Scholar 

  7. Briand M, Dumesnil JG, Kadem L, Tongue AG, Rieu R, Garcia D, et al. Reduced systemic arterial compliance impacts significantly on left ventricular afterload and function in aortic stenosis: implications for diagnosis and treatment. J Am Coll Cardiol. 2005;46:291–8.

    Article  Google Scholar 

  8. Ito H, Mizumoto T, Shomura Y, Sawada Y, Kajiyama K, Shimpo H. The impact of global left ventricular afterload on left ventricular reverse remodeling after aortic valve replacement. J Card Surg. 2017;32:530–6.

    Article  Google Scholar 

  9. Ozaki S, Kawase I, Yamashita H, Uchida S, Nozawa Y, Matsuyama T, et al. Aortic valve reconstruction using self-developed aortic valve plasty system in aortic valve disease. Interact Cardiovasc Thorac Surg. 2011;12:550–3.

    Article  Google Scholar 

  10. Iida Y, Fujii S, Akiyama S, Sawa S. Early and mid-term results of isolated aortic valve neocuspidization in patients with aortic stenosis. Gen Thorac Cardiovasc Surg. 2018;66:648–52.

    Article  Google Scholar 

  11. Beach JM, Mihaljevic T, Rajeswaran J, Marwick T, Edwards ST, Nowicki ER, et al. Ventricular hypertrophy and left atrial dilatation persist and are associated with reduced survival after valve replacement for aortic stenosis. J Thorac Cardiovasc Surg. 2014;147:362-9.e8.

    Article  Google Scholar 

  12. Rubens FD, Gee YY, Ngu JMC, Chen L, Burwash IG. Effect of aortic pericardial valve choice on outcomes and left ventricular mass regression in patients with left ventricular hypertrophy. J Thorac Cardiovasc Surg. 2016;152:1291–8.

    Article  Google Scholar 

  13. Lang RM, Badano LP, Mor-Avi V, Afilalo J, Armstrong A, Ernande L, et al. Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. Eur Heart J Cardiovasc Imaging. 2015;16:233–70.

    Article  Google Scholar 

  14. Park SH, Shub C, Nobrega TP, Bailey KR, Seward JB. Two-dimensional echocardiographic calculation of left ventricular mass as recommended by the American Society of Echocardiography: correlation with autopsy and M-mode echocardiography. J Am Soc Echocardiogr. 1996;9:119–28.

    Article  CAS  Google Scholar 

  15. Gori M, Lam CS, Gupta DK, Santos AB, Cheng S, Shah AM, et al. Sex-specific cardiovascular structure and function in heart failure with preserved ejection fraction. Eur J Heart Fail. 2014;16:535–42.

    Article  Google Scholar 

  16. Gaasch WH, Zile MR. Left ventricular structural remodeling in health and disease: with special emphasis on volume, mass, and geometry. J Am Coll Cardiol. 2011;58:1733–40.

    Article  Google Scholar 

  17. Jang JY, Seo JS, Sun BJ, Kim DH, Song JM, Kang DH, et al. Impact of valvuloarterial impedance on concentric remodeling in aortic stenosis and its regression after valve replacement. J Cardiovasc Ultrasound. 2016;24:201–7.

    Article  Google Scholar 

  18. Foppa M, Duncan BB, Rohde LE. Echocardiography-based left ventricular mass estimation. How should we define hypertrophy? Cardiovasc Ultrasound. 2005. https://doi.org/10.1186/1476-7120-3-17.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Garcia D, Pibarot P, Dumesnil JG, Sakr F, Durand LG. Assessment of aortic valve stenosis severity: a new index based on the energy loss concept. Circulation. 2000;101:765–71.

    Article  CAS  Google Scholar 

  20. Burwash IG, Hay KM, Chan KL. Hemodynamic stability of valve area, valve resistance, and stroke work loss in aortic stenosis: a comparative analysis. J Am Soc Echocardiogr. 2002;15:814–22.

    Article  Google Scholar 

  21. Ozaki S, Kawase I, Yamashita H, Uchida S, Takatoh M, Kiyohara N. Midterm outcomes after aortic valve neocuspidization with glutaraldehyde-treated autologous pericardium. J Thorac Cardiovasc Surg. 2018;155:2379–87.

    Article  Google Scholar 

  22. Theologou T, Harky A, Shaw M, Harrington D, Kuduvalli M, Oo A, et al. Mitroflow and Perimount Magna 10 years outcomes a direct propensity match analysis to assess reintervention rates and long follow-up mortality. J Card Surg. 2019;34:1279–87.

    Article  Google Scholar 

  23. Yamamoto Y, Iino K, Shintani Y, Kato H, Kimura K, Watanabe G, et al. Comparison of aortic annulus dimension after aortic valve neocuspidization with valve replacement and normal valve. Semin Thorac Cardiovasc Surg. 2017;29:143–9.

    Article  Google Scholar 

  24. Ugur M, Suri RM, Daly RC, Dearani JA, Park SJ, Joyce LD, et al. Comparison of early hemodynamic performance of 3 aortic valve bioprostheses. J Thorac Cardiovasc Surg. 2014;148:1940–6.

    Article  Google Scholar 

  25. Goldman S, Cheung A, Bavaria JE, Petracek MR, Groh MA, Schaff HV. Midterm, multicenter clinical and hemodynamic results for the Trifecta aortic pericardial valve. J Thorac Cardiovasc Surg. 2017;153:561–9.

    Article  Google Scholar 

  26. Hachicha Z, Dumesnil JG, Pibarot P. Usefulness of the valvuloarterial impedance to predict adverse outcome in asymptomatic aortic stenosis. J Am Coll Cardiol. 2009;54:1003–11.

    Article  Google Scholar 

  27. Huded CP, Kusunose K, Shahid F, Goodman AL, Alashi A, Grimm RA, et al. Novel echocardiographic parameters in patients with aortic stenosis and preserved left ventricular systolic function undergoing surgical aortic valve replacement. Am J Cardiol. 2018;122:284–93.

    Article  Google Scholar 

  28. Katsanos S, Yiu KH, Clavel MA, Rodés-Cabau J, Leong D, van der Kley F, et al. Impact of valvuloarterial impedance on 2-year outcome of patients undergoing transcatheter aortic valve implantation. J Am Soc Echocardiogr. 2013;26:691–8.

    Article  Google Scholar 

  29. Helder MR, Ugur M, Bavaria JE, Kshettry VR, Groh MA, Petracek MR, et al. The effect of postoperative medical treatment on left ventricular mass regression after aortic valve replacement. J Thorac Cardiovasc Surg. 2015;149:781–6.

    Article  Google Scholar 

  30. Klingbeil AU, Schneider M, Martus P, Messerli FH, Schmieder RE. A meta-analysis of the effects of treatment on left ventricular mass in essential hypertension. Am J Med. 2003;115:41–6.

    Article  Google Scholar 

  31. Otto CM, Nishimura RA, Bonow RO, Carabello BA, Erwin JP 3rd, Gentile F, et al. 2020 ACC/AHA guideline for the management of patients with valvular heart disease: executive summary: a report of the American College of Cardiology/American Heart Association Joint Committee on Clinical Practice Guidelines. Circulation. 2021;143:e35–71.

    PubMed  Google Scholar 

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Acknowledgements

No acknowledgments to declare.

Funding

The authors received no financial support for the research, authorship, and/or publication of this article.

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Authors and Affiliations

  1. Department of Thoracic and Cardiovascular Surgery, Mie University Hospital, 2-174 Edobashi, Tsu City, Mie, 514-8507, Japan

    Naoki Yamamoto, Hisato Ito, Ayano Futsuki, Koji Hirano, Yu Shomura & Motoshi Takao

  2. Department of Thoracic Surgery, Matsusaka Chuo General Hospital, 102, Kawai-Machi-Komou, Matsusaka City, Mie, 515-8566, Japan

    Kentaro Inoue, Yasuhisa Ozu, Yoshihiko Katayama & Takuya Komada

Authors
  1. Naoki Yamamoto
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  2. Hisato Ito
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  3. Kentaro Inoue
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  4. Ayano Futsuki
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  5. Koji Hirano
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  6. Yu Shomura
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  7. Yasuhisa Ozu
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  8. Yoshihiko Katayama
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  9. Takuya Komada
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  10. Motoshi Takao
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Contributions

NY and HI conceived of the presented idea. HI developed the theory and NY performed the computations. KI, YO, YK and TK verified the analytical methods. AF, KH and YS contributed to data collection. MT supervised the project. All authors discussed the results and approved the final manuscript.

Corresponding author

Correspondence to Hisato Ito.

Ethics declarations

Ethics approval and consent to participate

The study protocol was approved by the institutional review board of Mie University Hospital (approval date, April 11, 2019; Approval Number, H2019-056), and informed consent was obtained in an opt-out fashion.

Consent for publication

Informed consent was obtained in an opt-out fashion.

Competing interests

The authors declare that there is no competing interests.

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Yamamoto, N., Ito, H., Inoue, K. et al. Impact of valvuloarterial impedance on left ventricular reverse remodeling after aortic valve neocuspidization. J Cardiothorac Surg 17, 13 (2022). https://doi.org/10.1186/s13019-022-01760-7

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  • DOI: https://doi.org/10.1186/s13019-022-01760-7

Keywords

  • Aortic valve neocuspidization
  • Aortic valve stenosis
  • Left ventricular geometry
  • Left ventricular reverse remodeling
  • Valvuloarterial impedance

Journal of Cardiothoracic Surgery

ISSN: 1749-8090

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