Introduction

Aortic stenosis (AS) is the most common native valvular heart disease amongst the elderly population1,2. Aortic valve replacement (AVR) is a class I indication for symptomatic severe AS or asymptomatic severe AS with reduced left ventricular ejection fraction (LVEF) < 50%3. Recent studies have demonstratedthe benefit of early surgical interventionin AS when LVEF remains preserved4,5,6,7,8. However, measurement of LVEF is dependent on alteration in left ventricle (LV) loading condition and may not necessarily reflect the intrinsic contractile state of the LV9,10,11. A novel echocardiographic-derived global LV contractility index, dσ*/dtmax represents an integrated assessment of LV contractility, as it is primarily dependent on the outflow rate and wall volume of the LV chamber. dσ*/dtmax is a validated index that measures the maximal rate of change in pressure-normalized LV wall stress12,13,14,15,16. As compared to normal controls, dσ*/dtmax was found to be lower in heart failure patients with preserved LVEF14,15. To date, dσ*/dtmax has not been studied in pressure overload states. We aim to describe the trend of dσ*/dtmax in different severity categories of AS with preserved LVEF, and the association of dσ*/dtmax with clinical outcomes in moderate AS and severe AS with preserved LVEF.

Methods

Consecutive patients with isolated AS and preserved LVEF ≥ 50% diagnosed on index echocardiography from 1st January 2001 to 31st December 2015 from a single-centre were retrospectively examined. Patients with other significant valvular lesions (of at least moderate severity) or any prior valvular interventions were excluded. They were divided into differing severity categories of AS based on the aortic valve area calculated by continuity equation: mild AS (aortic valve area > 1.5cm2), moderate AS (aortic valve area 1.0–1.5 cm2) and severe AS (aortic valve area < 1.0 cm2). Baseline demographics and echocardiographic parameters were documented. Global LV contractility index, dσ*/dtmax were calculated for all patients using non-invasive echocardiographic measurements. In patients with moderate AS and severe AS, clinical outcomes were obtained by review of medical records and outpatient attendance extracted up to 30th November 2018 for analysis. Composite events were defined as a combination of AVR, congestive cardiac failure (CCF) admissions and all-cause mortality. The association of global LV contractility index, dσ*/dtmax with the composite outcome and its individual components were studied. Receiver operating characteristic curves were used to identify the optimal cut off value for dσ*/dtmax for composite clinical events. Ethics approval was obtained from the National Healthcare Group Domain Specific Review Board (DSRB) prior to the conduct of the study. This study complied with all DSRB requirements based on Declaration of Helsinki and the ethical principles in the Belmont Report. The DSRB requirements were also compliant with the guidelines stipulated by the Bioethics Advisory Committee. No patient identifiers were obtained during the study, and no tissue samples were collected. A waiver for the need for patient consent was obtained from DSRB.

Transthoracic echocardiography was performed by cardiac sonographers with standard echocardiography imaging system and analysed by qualified cardiologists. Blood pressures and heart rates were obtained at the start of the studies. Chamber dimensions, LV wall thickness, chamber volume, LV mass and biplane modified Simpson’s LVEF were measured using standard recommendations for LV chamber quantifications17. We classify severity of AS based the European Association of Cardiovascular Imaging and the American Society of Echocardiography recommendations on echocardiographic assessment of aortic valve stenosis18. Aortic valve area was calculated using continuity equation. The transaortic peak velocity and transaortic mean pressure gradient were obtained using continuous wave Doppler from multiple windows to obtain the maximum velocity. Left ventricular outflow tract (LVOT) diameter was measured on parasternal long axis view. LVOT peak velocity and velocity time integral were performed using pulse wave Doppler from apical 3-chamber view, 5 mm away from the aortic valve in the LVOT18. Assessment of diastolic function to derive mitral E velocity, mitral E/A ratio, mitral E wave deceleration time and septal E/e’ ratio were done based on current recommendations for LV diastolic function19. Septale’ velocity was obtained using pulse wave tissue doppler imaging at apical four chamber view with the sample volume at the basal septal region. During LV contraction, myocardial sarcomere activation generates myocardial wall stress that induces intracavity pressure during LV contraction, which can be measured by maximal dP/dt. Myocardial wall stress occurred prior to the rise of LV intracavitary pressure and can be potentially used as a measurement of ventricular performance. By using biomechanical model, LV wall stress is expressed as: σP(3V/2Vm + 1/2), where σ is wall stress, P and V are LV intracavitary pressure and volume, Vm is myocardial volume. Rearranging the equation, we get: σ* = σ/P = (3V/2Vm + 1/2). Analogous to dP/dtmax, we defined dσ*/dtmax as:  */dtmax = 3(dV/dt)max/2Vm, where σ* is σ/P or pressure-normalized wall stress, and dV/dtmax is the maximal flow rate. The latter is calculated from standard echocardiography (maximal LVOT velocity on pulse wave Doppler echocardiogram Vpeak and LVOT area): dV/dtmax = Vpeak x πD2/4, where D is the LVOT diameter measured in the 2-dimensional parasternal long axis. Myocardial volume (Vm) is calculated from the quotient of LV mass (obtained from standard M-mode echocardiography) and myocardial density (assumed to be 1.05 g/ml)14,15,16.

Statistical methods

Categorical data were expressed as frequency and percentages. Continuous variables were summarized as mean (±standard deviation). Chi-squared tests, Student’s t-tests and one-way analysis of variance (ANOVA) with post-hoc Bonferroni analyses were used to compare variables between groups. A receiver operating characteristic curve was constructed for dσ*/dtmax in predicting composite clinical outcomes (AVR, admissions for CCF and all-cause mortality) on subsequent follow-up. Youden’s index (J) was tabulated to determine the optimised cut off for this outcome. dσ*/dtmax was defined as low when it was below the cut-off value identified by the receiver operating characteristic analysis. Clinical outcomes were compared by the construction of Kaplan–Meier curves. To adjust for differences in baseline characteristics between groups, a multivariable Cox proportional hazards regression model was constructed to obtain the risk-adjusted association between dσ*/dtmax and composite clinical outcomes. Covariates that potentially may have had confounding effect on contractility index in predicting poor clinical outcomes [age, hypertension, diabetes, ischemic heart disease and echocardiographic markers of AS severity (such as aortic valve area and transaortic peak velocity)] were incorporated into the model. A two-tailed value of p ≤ 0.05 was used to reject the null hypothesis. Statistical analysis was done using SPSS 21.0 (SPSS Inc., Chicago IL, USA).

Results

A total of 1738 patients with isolated AS [mild AS 550 (31.6%), moderate AS 738 (42.5%), severe AS 450 (25.9%)] were included in this study. Table 1 shows the baseline demographics and echocardiographic parameters of mild AS, moderate AS and severe AS. Age and gender were similar across all three categories of AS severity. Patients with severe AS had the lowest prevalence of hypertension, diabetes, ischemic heart disease and chronic kidney disease as compared to mild AS or moderate AS. The prevalence of hyperlipidemia, stroke/transient ischemic attack, atrial fibrillation, peripheral vascular disease and chronic obstructive pulmonary disease did not differ among the three groups. Severe AS had the highest transaortic peak velocity, highest transaortic mean pressure gradient, highest LV mass index, smallest LVOT diameter, lowest LVOT peak velocity, highest mitral E velocity and highest septal E/e’ ratio. There was a decline in the global LV contractility index, dσ*/dtmax with increasing severity of AS (mild AS: 3.69 ± 1.28 s−1, moderate AS: 3.17 ± 1.09 s−1, severe AS: 2.58 ± 0.83 s−1, p < 0.001). dσ*/dtmax was significantly different between the different categories of AS severity on post-hoc pairwise Bonferroni analysis.

Table 1 Baseline demographics and echocardiographic parameters of study population divided according to AS severity.

During a median follow up of 3.58 years (interquartile range: 1.11–6.06 years) in patients with moderate AS and severe AS (n = 1188), composite outcomes occurred in 625 (52.6%) patients [AVR 201 (16.9%), CCF admissions 119 (10.0%), all-cause mortality 439 (37.0%)]. The cumulative mortality rates for moderate AS and severe AS were 34.6% and 40.9%, respectively. By using receiver operating characteristic analysis, we identified an optimized cut-off of < 2.8 s−1 for dσ*/dtmax to be associated with occurrence of composite outcome with an area under the curve of 0.61, 95% CI: 0.58–0.64, p < 0.001, sensitivity of 59% and specificity of 59%. A total of 601 (50.6%) patients had dσ*/dtmax < 2.8 s−1 and 587 (49.4%) had dσ*/dtmax ≥ 2.8 s−1. Patients with low contractility index (dσ*/dtmax < 2.8 s−1) were similar in terms of age and clinical profile, except for a higher incidence of chronic kidney disease (21.6% vs 13.1%) and ischemic heart disease (36.6% vs 29.6%). The LVEF was similar in spite of a lower contractility index (59.9 ± 4.4% vs 63.0 ± 2.2%, p = 0.337). Patients with lower contractility index (< 2.8 s−1) also had smaller aortic valve area, higher transaortic mean pressure gradients and peak velocity and lower LVOT velocity. The LV end diastolic volume index and stroke volume index were both significantly higher in patients with lower contractility index (Table 2).

Table 2 Baseline demographics and echocardiographic parameters of study population divided according to contractility index.

Composite outcomes occurred in 371 (61.7%) patients with dσ*/dtmax < 2.8 s−1[AVR 133 (22.1%), CCF admissions 80 (13.3%), all-cause mortality 251 (41.8%)] as compared to 254 (43.3%) patients with dσ*/dtmax ≥ 2.8 s−1 [AVR 68 (11.6%), CCF admissions 39 (6.6%), all-cause mortality 188 (32.0%), p < 0.001]. On Kaplan-Meier survival time-to-event analysis, patients with dσ*/dtmax < 2.8 s−1 had significantly higher occurrence of composite events (log rank test 52.6, p < 0.001) and its individual components of AVR (log rank test 49.8, p < 0.001), CCF admissions (log rank test 24.5, p < 0.001) and all-cause mortality (log rank test 21.4, p < 0.001) as compared to dσ*/dtmax ≥ 2.8 s−1. (Fig. 1) On multivariable Cox regression, dσ*/dtmax < 2.8 s−1 remained independently associated with the occurrence of composite outcomes (adjusted HR 1.48, 95% CI: 1.25–1.77, p < 0.001) (Table 3).

Figure 1
figure 1

Kaplan-Meier event-free survival curve according to dσ*/dtmax cut off value of < 2.8 s−1 vs ≥ 2.8 s−1. (A) Composite outcome of AVR, CCF admissions and all-cause mortality, (B) AVR, (C) CCF admissions, (D) All-cause mortality. dσ*/dtmax: global left ventricular contractility index; AVR: aortic valve replacement; CCF: congestive cardiac failure.

Table 3 Multivariable Cox regression analysis showing dσ*/dtmax independently associated poor composite clinical outcomes in patients with moderate aortic stenosis and severe aortic stenosis.

Discussion

The main findings of this study were as follows: (i) There was a declining trend of the global LV contractility index, dσ*/dtmax with worsening severity of AS (from mild AS to severe AS) despite having preserved LVEF ≥ 50%. (ii) Low dσ*/dtmax < 2.8 s−1 was associated with higher composite clinical outcomes of AVR, CCF admissions and all-cause mortality. (iii) After adjusting for age, cardiovascular risk factors, and echocardiographic markers of AS severity (such as aortic valve area and transaortic peak velocity), low contractility index (< 2.8 s−1) remained independently associated with poor clinical outcomes on multivariable Cox regression.

The global LV contractility index, dσ*/dtmax was conceived de novo using basic mechanical engineering principles and geometrical assumptions of the LV. It estimated the maximum rate of development of LV wall stress in relation to LV pressure (LV wall stress was normalized to LV pressure in the formula to obviate the need for invasive LV pressure measurement). As LV wall stress is generated intrinsically by sarcomere contraction that in turn transmits to extrinsic LV pressure, the index is based on the hypothesis that the capacity of the LV to develop intramyocardial stress to eject blood volume constitutes LV contractility12. dσ*/dtmax is dependent on the maximal outflow rate from the ventricle at ejection phase, normalized to myocardial volume20,21. To date, there is no technique to measure LV wall stress directly. dσ*/dtmax takes into account the combination of LV wall stress (wall thickness, geometry, chamber pressure, sarcomere contraction) and wall material properties. In experimental studies, it was found to be insensitive to preload and afterload changes within physiological limits and may potentially reflect intrinsic LV contractility12,13. Conveniently, we were able to calculate dσ*/dtmax non-invasively using routine echocardiographic measurements (by using LVOT diameter, LVOT peak velocity and myocardial volume) without the need for specialized acquisition, software or intensive analysis. Zhong L. et al. studied dσ*/dtmax in heart failure patients and found that heart failure patients with preserved LVEF had lower dσ*/dtmax at 2.57 s−1 as compared to 4.30 s−1 in normal controls14.

Proper assessment of LV function in AS is essential in clinical decision making. The current guideline recommends AVR for symptomatic patients or asymptomatic patients when LVEF is ≤ 50%3. Due to its load-dependent nature, LVEF may not be a sensitive marker of global LV systolic function22. In chronic AS, LV hypertrophy and increased LV mass developed as adaptive responses to normalize increased wall stress (from pressure overload)23. These LV geometric changes allow for preservation of LVEF despite depressed myocardial shortening22,24. As the disease progresses, LV remodelling leads to sub-endocardial ischemia and myocardial fibrosis that reduces global LV systolic function8,25,26,27,28. Therefore, we need to detect subtle impairment in LV performance before the deterioration of LVEF. For better quantification of LV systolic function, studies had looked at newer indices such as LV systolic longitudinal function, mitral annulus systolic displacement, myocardial systolic velocity s from tissue Doppler imaging and myocardial deformation parameters (strain, strain rate or twist measurement)29,30,31,32,33. Longitudinal strain had been commonly used to evaluate LV mechanics in AS and found to be abnormal in AS patients despite preserved LVEF34,35,36. Our data were accrued over a long period and most images are no longer amendable to global longitudinal strain (GLS) analysis. Indeed, the measurement of GLS has been demonstrated to be useful in assessing subclinical LV dysfunction, and subsequent decline in the preserved LVEF. However, measurement of GLS may be time-consuming, and requires either off-line analysis or specialised software systems that may only be installed on machines with higher specifications. It is operator dependent with high inter-observer variability. These factors may limit its use in certain centres. By contrast, the novel contractility index we studied was based on physiological principles and can be easily derived from readily available echocardiographic parameters. In our study, dσ*/dtmax was lowest in severe AS at 2.58 s−1, as compared to 3.17 s−1 in moderate AS and 3.69 s−1 in mild AS, indicating the presence of sub-clinical myocardial dysfunction with increasing pressure overload leading to LV remodelling. Severe AS has the lowest dσ*/dtmax despite having a lower prevalence of hypertension and ischemic heart disease as compared with mild AS and moderate AS.

Risk stratification for proper timing of AVR in AS is complex and challenging4,5,6. Traditionally, symptom status, aortic valve area, aortic jet velocity, transaortic mean pressure gradient were important predictors of adverse outcome in AS. More recently, Cioffi G. et al. showed that asymptomatic severe AS with inappropriate LV hypertrophy had a 4.5-fold higher risk of death, AVR or hospital admissions; while Lancelloti P. et. al. found an integrated measurement of peak aortic jet ≥ 4.4 m/s, LV longitudinal myocardial impedance ≤ 15.9%, valvuloarterial impedence ≥ 4.9 mmHg/ml/m2 and indexed left atrial area ≥ 12.2cm2/m2 improved risk stratification in AS37,38. Non-echocardiographic tools such as computed tomographic aortic valve calcium scoring and magnetic resonance imaging focal mid-wall fibrosis were predictive of mortality in AS39,40. Our study found that reduced global LV contractility index, dσ*/dtmax < 2.8 s−1 in patients with moderate and severe AS was associated with higher risk of AVR, CCF admissions and death despite preserved LVEF. These observations were likely due to the presence of myocardial fibrosis and poorer contractile reserve in patients with lower baseline dσ*/dtmax that accounted for the worse clinical outcomes. Current evidence demonstrated that the assessment of LV function solely by LVEF measurement is not adequate. Hence, dσ*/dtmax may be useful as an additional tool in risk stratification of AS and help to pre-select patients who may benefit from early intervention.

Transcatheter aortic valve replacement (TAVR) has been shown to reduce mortality and morbidity and evolved as a treatment option for patients at intermediate surgical risk41. There has been a growing interest in risk stratification and outcome prediction strategies for TAVR candidates beyond the Society of Thoracic Surgeon’s risk score and EUROscore42. By the time these patients develop LV dysfunction, they may have poorer outcome post AVR8,25,26,27,28. Our study cohort spanned 15 years (2001 to 2015) and our TAVR program was started in 2010. Out of 1188 patients with moderate and severe AS at baseline, 171 subsequently underwent surgical AVR while only 30 (2.5% of the total cohort) underwent TAVR. While we have observed with this cohort that dσ*/dtmax was sensitive for early LV dysfunction and carried prognostic implications, we had not used it to plan for TAVR. It will require a prospective strategy trial to validate its utility in this setting.

Our study observed high mortality rates that commensurate with prior large registry of AS. In a recently published paper by Strange et al., AS was characterized in 122,809 male patients (mean age 61 ± 17 years) and 118,494 female patients (mean age 62 ± 19 years), and 16,129 (6.7%), 3,315 (1.4%), and 6,383 (2.6%) patients had mild, moderate, and severe AS, respectively43. 5-year mortality rates for patients with mild AS, moderate AS and severe AS were 43%, 56%, and 67%, respectively. 1-year mortality rates for patients with mild AS, moderate AS and severe AS were 15%, 21%, and 29%, respectively; implying death events were front-loaded. Our population is older, and cumulative mortality rates at median 3.6 years follow-up for mild AS, moderate AS and severe AS were 29.3%, 34.6% and 40.9%, respectively. Specifically, the mortality rate among mild AS in our cohort is mid-way between the 1- and 5-year mortality rates in Strange et al. This underscores the adverse prognosis for mortality events even in mild AS. Patients with mild AS and moderate AS may die while at this stage of the disease due to other co-morbidities that may not be related to AS itself. In addition, those in moderate AS may progress to severe AS with high risk of death during the follow up period. After adjusting for co-morbidities such as diabetes, ischemic heart disease and traditional prognostic markers of AS such as aortic valve area and transaortic peak velocity, dσ*/dtmax remained significant associated with poor composite clinical outcomes in moderate AS and severe AS.

This was the first study to look at the novel global LV contractility index, dσ*/dtmax in pressure overload state. However, it has the inherent limitations of an observational study. Patients with mild AS or moderate AS may have other co-morbidities contributing to mortality beyond the aortic valve disease. We also did not assess patients’ symptoms status at the point of the index echocardiographic study, or if they developed symptoms on subsequent follow-up. In addition, we did not compare dσ*/dtmax with other more advanced imaging techniques like strain. However, unlike strain, dσ*/dtmax can be easily derived from conventional echocardiographic parameters without the need for specialized software. Future larger prospective studies can focus on comparing dσ*/dtmax with advanced imaging such as speckle-tracking analyses.

Conclusions

Global LV contractility index, dσ*/dtmax declined with worsening AS severity despite preserved LVEF ≥ 50%. Low dσ*/dtmax < 2.8 s−1 was independently associated with higher composite outcomes of AVR, CCF admissions and all-cause mortality in moderate AS and severe AS.