Next Article in Journal
Artificial-Intelligence-Driven Algorithms for Predicting Response to Corticosteroid Treatment in Patients with Post-Acute COVID-19
Previous Article in Journal
Painless Capillary Blood Collection: A Rapid Evaluation of the Onflow Device
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Shifting from Left Ventricular Ejection Fraction to Strain Imaging in Aortic Stenosis

by
Vasileios Anastasiou
,
Stylianos Daios
,
Maria-Anna Bazmpani
,
Dimitrios V. Moysidis
,
Thomas Zegkos
,
Theodoros Karamitsos
,
Antonios Ziakas
and
Vasileios Kamperidis
*
First Department of Cardiology, AHEPA Hospital, Medical School, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece
*
Author to whom correspondence should be addressed.
Diagnostics 2023, 13(10), 1756; https://doi.org/10.3390/diagnostics13101756
Submission received: 1 May 2023 / Revised: 7 May 2023 / Accepted: 12 May 2023 / Published: 16 May 2023
(This article belongs to the Section Medical Imaging and Theranostics)

Abstract

:
Adverse ventricular remodeling is an inflexion point of disease progression in aortic stenosis (AS) and a major determinant of prognosis. Intervention before irreversible myocardial damage is of paramount importance to sustain favorable post-operative outcomes. Current guidelines recommend a left ventricular ejection fraction (LVEF)-based strategy to determine the threshold for intervention in AS. However, LVEF has several pitfalls: it denotes the left ventricular cavity volumetric changes and it is not suited to detecting subtle signs of myocardial damage. Strain has emerged as a contemporary imaging biomarker that describes intramyocardial contractile force, providing information on subclinical myocardial dysfunction due to fibrosis. A large body of evidence advocates its use to determine the switch from adaptive to maladaptive myocardial changes in AS, and to refine thresholds for intervention. Although mainly studied in echocardiography, studies exploring the role of strain in multi-detector row computed tomography and cardiac magnetic resonance are emerging. This review, therefore, summarizes contemporary evidence on the role of LVEF and strain imaging in AS prognosis, aiming to move from an LVEF-based to a strain-based approach for risk stratification and therapeutic decision-making in AS.

1. Introduction

Aortic stenosis (AS) poses pressure overload to the myocardium, causing ventricular damage that depends, among other things, on the afterload excess, and the period of exposure. In order to restore wall stress and maintain cardiac output under those circumstances, the myocardium will initially respond with compensatory hypertrophy of the left ventricle (LV), defined as excess mass, increase in relative wall thickness, and concentric hypertrophy [1]. LV hypertrophy leads to impaired compliance and elevated end-diastolic pressures [2]. If AS is left untreated, LV interstitial space expands and diffuse myocardial fibrosis develops, followed by replacement fibrosis and cardiomyocyte death at a later stage [3]. This marks an inflexion point of irreversible myocardial damage and the transition to a decompensating phase, which translates to macroscopic impairment of the LV systolic properties [4]. From this point, the development of heart failure symptoms and malignant arrhythmias is common, dramatically increasing the risk of mortal events (Figure 1).
It is therefore imperative that intervention on the valve is implemented at an appropriate stage of the disease, in order to avoid irreversible myocardial damage and its consequences. While the guidelines recommend left ventricular ejection fraction (LVEF) as the gold standard to describe myocardial damage and proceed to therapeutic maneuvers [5,6], a large body of evidence has demonstrated the superior prognostic role of deformation strain imaging. This review aims to aggregate and comprehensively appraise the current literature addressing the role of LVEF and strain imaging, by echocardiography, cardiac computed tomography, and cardiac magnetic resonance, in AS, and seeks to explain the rationale behind a possible LV strain imaging-based strategy to determine treatment decisions.

2. Echocardiography for Left Ventricular Function

2.1. Prognostic Value of Left Ventricular Ejection Fraction

Symptoms serve as a sign of established disease and dismal prognosis, and should prompt intervention, irrespective of LV function, in high-gradient severe AS, as long as the patient is not critically ill or overly fragile, for them to benefit from intervention [6]. However, cautious assessment of LV systolic function is of paramount importance in case the patient is free of symptoms, and both ESC and ACC/AHA guidelines recommend intervention in asymptomatic severe AS, with evidence of systolic LV dysfunction attributable to the valve disease [5,6]. Guidelines suggest the use of LVEF to define systolic dysfunction. More specifically, intervention is advocated with Class I indication when the LVEF is <50%, and with IIa when the LVEF is <55% by ESC [6]. Going even further, the AHA/ACC suggest considering the threshold of 60% when a progressive decline in at least three serial imaging studies has been documented [5].
In a retrospective analysis of 2017 symptomatic and asymptomatic AS patients undergoing surgical aortic valve replacement (AVR), Dahl et al. demonstrated a stepwise increase in all-cause mortality with lower preoperative LVEF values [7]. The group with preoperative LVEF < 50% suffered the worst outcome, whereas asymptomatic patients with LVEF ≥ 60% had the lowest mortality rate [7]. In keeping with those findings, another study demonstrated that patients with severe symptomatic and asymptomatic AS and LVEF < 50% had the worst cumulative five-year incidence of death and heart failure hospitalization, irrespective of treatment strategy (conservative or initial AVR) [8]. Similarly, severe LV dysfunction, expressed as LVEF < 30%, was associated with higher mortality rates among patients undergoing transcatheter aortic valve replacement (TAVR) [9].
A few studies have endeavored to identify an association between higher LVEF thresholds and outcomes. Capoulade et al. studied a large symptomatic and asymptomatic AS population, with at least mild AS, and concluded that patients with LVEF < 55% and stroke volume index < 35 mL/m2 had the worst survival rates [10]. Although LVEF was an independent predictor of all-cause mortality for the entire population (p < 0.001), it lost this association (p = 0.56) when subgroup analysis was performed for asymptomatic patients [10]. On the contrary, Bohbot et al. demonstrated that LVEF < 55% was a strong, independent predictor of excess mortality in a large cohort of asymptomatic or minimally symptomatic patients with severe AS and LVEF > 50% [11]. Patients treated both medically and surgically with LVEF < 55% had the worst prognosis, as compared with subjects with LVEF > 55% [11]. Going even higher in the range of LVEF, values < 60% were identified as an independent predictor of all-cause mortality in asymptomatic severe AS subjects [12]. Ito et al. demonstrated that an LVEF < 60%, at the time of moderate AS, could predict further deterioration of LVEF, so that many patients will already have LVEF < 50% by the time of initial severe AS diagnosis [13]. In this regard, the authors raised the question of early intervention of moderate AS, when LVEF is less than 60%, to prevent future decline in myocardial function [13]. Those studies exemplified that clinically relevant LV systolic dysfunction may already be established when LVEF is 50% to 59%, questioning the guideline-recommended thresholds for intervention [6].
It should be highlighted that a drop in LVEF < 50%, due to severe AS, is almost invariably accompanied by symptoms, and the prevalence of asymptomatic severe AS with LVEF < 50% is only 0.4% [14]. Hence, a strategy of waiting for LVEF to fall to <50% to decide on intervention, in the absence of symptoms, seems suboptimal to sustain good post-operative results, and the most recently established threshold of 55% holds promise to optimize outcomes [6]. Moreover, LVEF has several recognized limitations and masks disease progression in cases of pronounced LV remodeling and small LV cavity. In this setting, LVEF will tend to increase in parallel with the extent of concentric remodeling, rather reflecting the relationship of wall thickness to cavity size [15]. Thus, in paradoxical low-flow, low-gradient AS, a decrease in cardiac output, SV, and myocardial contractility may occur, despite a preserved LVEF [16].
Nonetheless, LVEF remains the most widely available assessor of LV systolic function that still plays an important role in assessment of AS. Details of the large scale studies addressing the prognostic role of preoperative LVEF in different AS populations are presented in Table 1.

2.2. Prognostic Value of Left Ventricular Global Longitudinal Strain

In spite of its widespread use, LVEF remains an oversimplified measure of assessing myocardial function, as it only describes the volumetric alterations of the LV cavity. Beyond LVEF, more contemporary measures of subclinical LV dysfunction have entered the clinical arena, allowing for earlier recognition of ventricular damage. Speckle-tracking echocardiography represents a method of quantifying myocardial deformation and aims to capture early decline of intrinsic myocardial contractile function, before LVEF impairment is manifested (Figure 2) [20]. Global longitudinal strain (GLS) is the most established application of speckle-tracking echocardiography. This technique is based on detecting and following the movement of myocardial speckles in the longitudinal axis. It is considered less angle- and geometry-dependent, less preload- and afterload-dependent [21,22], and more reproducible than LVEF [23,24].
Longitudinal subendocardial fibers are the most susceptible to increased wall stress and reduced perfusion, and will be the first to be impaired by the afterload excess. GLS is capable of highlighting such subtle myocardial changes at the subendocardial level before a drop in LVEF occurs [24,25]. Yingchoncharoen et al. studied 79 asymptomatic patients with severe AS and preserved LVEF, and concluded that GLS retained its independent association with cardiovascular outcomes, even after correction for clinical and echocardiographic parameters in different models [26]. Those findings were confirmed in a larger cohort of 395 asymptomatic AS patients with preserved LVEF, where the subset with the lowest LV GLS (<−12.1%) displayed the worst survival [27]. Another study focused on the role of basal longitudinal function in asymptomatic AS subjects and proved that it could predict future AVR [28]. A pathophysiological explanation is that myocardial diffuse interstitial fibrosis and focal mid-wall fibrosis starts from the basal parts of the ventricle in AS, which can be indirectly detected by GLS [29]. A recent meta-analysis of asymptomatic AS patients with preserved LVEF demonstrated that a GLS of −14.7% was the best cut-off for death prediction and it was associated with a >2.5 increment of mortality [30]. This body of evidence begins to establish the role of GLS as a guide for AVR in asymptomatic AS patients at an earlier phase than indicated by LVEF. The results of the Danish National Randomized Study on Early Aortic Valve Replacement in Patients With Asymptomatic Severe Aortic Stenosis (DANAVR) trial (NCT03972644) are currently awaited to determine if asymptomatic patients with abnormal LVGL Sby echocardiography will benefit from early AVR.
GLS is an invaluable marker of LV dysfunction in paradoxical low flow, low gradient (LFLG) AS with prominent concentric remodeling and small cavity size, where LVEF will be supranormal and not representative of LV function. This was indicated by Kamperidis et al. in a group of 134 paradoxical LFLGAS patients, who had worse all-cause mortality with GLS > −15% [31], and was confirmed by other investigators [32]. In the case of classical LFLG AS, reduced LVEF is the sequela of long-standing disease and is invariably accompanied by impaired GLS. Even in this subset of patients, GLS can elicit significant incremental prognostic information beyond that obtained with LVEF [33]. Rest GLS and stress GLS, obtained during low-dose dobutamine stress echocardiography, were independent predictors of mortality in a large cohort of classical LFLG AS patients [34].
After the intervention, if the valve-related pressure overload has been retracted from the ventricle on time, regression of diffuse fibrosis and myocardial cellular hypertrophy may occur. In this instance, GLS is a sensitive marker of myocardial systolic recovery, while LVEF might fail to detect such subtle functional improvement [35,36]. It has been proposed that GLS > −13.3% predicts a lack of myocardial recovery after TAVR [36], while the magnitude of improvement in GLS has been shown to have a prognostic impact on survival after TAVR [37]. In LFLG AS, GLS improved one year after TAVR, in both classical and paradoxical type groups, whereas LVEF failed to identify the LV functional recovery in the paradoxical type group [38]. For the patients with classical LFLG AS, although TAVR is considered the preferred treatment choice a baseline, GLS may be able to determine the TAVR-responders; GLS > −12% has been suggested for identifying patients with a lack of flow reserve during dobutamine stress echocardiography and lack of reverse remodeling after TAVR [39]. The main features of studies addressing the prognostic role of GLS by echocardiography are presented in Table 2.

2.3. Prognostic Role of Non-Invasively Assessed Left Ventricular Myocardial Work

Despite being a sensitive surrogate of occult longitudinal systolic dysfunction, GLS still does not account for the global afterload which differs with AS severity and peripheral vascular resistance. Global afterload is the cause of increased metabolic demand and oxygen consumption of cardiomyocytes in order to maintain cardiac output. Russel et al. described a novel non-invasive method that reflects those metabolic demands by assessing different parameters of the energy efficiency of the LV [49,50]. This method estimates LV myocardial work, via dedicated software, by integrating LV longitudinal strain measurements by speckle-tracking echocardiography, LV afterload estimates, and cardiac event timing to derive a pressure strain loop. Noninvasive LV pressure curves are formulated according to the duration of ejection and isovolumic phases, as determined by left-sided valve timing events. Four different indices of myocardial work are calculated including:
(i)
LV global work index, representing the total work within the LV pressure-strain loops;
(ii)
LV global constructive work, defined as the work performed during myocardial shortening in systole and the work during myocardial lengthening in isovolumic relaxation;
(iii)
LV global wasted work, representing the work contributing to the lengthening of the cardiac myocytes during systole and the shortening during isovolumic relaxation; and
(iv)
LV global work efficiency, defined as the percentage of effectively spent work by the LV myocytes, and obtained by the following formula:
LV   global   work   efficiency = global   constructive   work global   constructive   work   +   global   wasted   work × 100 %
Whereas normally non-invasive brachial blood pressure is entered in the module as the equivalent of the LV afterload, this is not the case for severe AS. In severe AS, global afterload is the composite of the peripheral vascular component (brachial blood pressure) and the valvular component (transvalvular mean gradient) posed to the ventricle. Taking this into account, Fortuni et al. developed a method to evaluate LV myocardial work in patients with severe AS, by adding the echocardiography-derived transvalvular mean gradient to the systolic blood pressure [51]. Their formula showed excellent agreement with invasively-derived LV pressure recordings, confirming the accuracy of the proposed method to evaluate myocardial work by echocardiography in severe AS [51]. Global constructive work (odds ratio, 0.941 [95% CI, 0.887–0.998], p = 0.042, per 100 mmHg/% increase) and global work index (odds ratio, 0.912 [95% CI, 0.849–0.980], p = 0.012, per 100 mmHg/% increase), in a cohort of symptomatic severe AS patients, were the only echocardiography indices independently associated with heart failure symptoms, after adjustment for right ventricular free wall strain [51]. Accordingly, myocardial work is significantly reduced after TAVR, reflecting the valve-related pressure overload withdrawal from the ventricle [52]. The myocardial work parameters seem to be early markers of afterload-related LV maladaptation and functional impairment. Their prognostic validity warrants further exploration in order to assess whether they can add prognostic information beyond that obtained by GLS (Figure 2).

3. Multi-Detector Row Computed Tomography for Left Ventricular Function

Computed tomography plays a prominent role in AS assessment, mainly by obtaining information regarding the extent of aortic calcification, aortic valve–aortic root anatomic relationship, and aortic valve area. It is the guideline-recommended modality for establishing severity in paradoxical LFLG AS, and in classical LFLG when there is no flow reserve by dobutamine stress echocardiography [6]. Additionally, it is part of the standard of care in pre-TAVR evaluation to plan the intervention. Recent advances in technology have allowed multi-detector row computed tomography (MDCT) to expand its role by providing information on the myocardial function.
MDCT is the cardiac imaging modality that provides three-dimensional data of the heart with the best spatial resolution, and allows the volumetric quantification of each cardiac chamber and computation of the LVEF and right ventricular EF. Thus, a MDCT-derived staging system of extra-aortic cardiac damage has recently been validated in a population of 405 patients undergoing TAVR [53]. The population was classified into five different stages of disease progression, based on volumetric chamber quantification, LV hypertrophy, and grading of mitral annular calcification acquired entirely from the pre-TAVR MDCT scans [53]. The staging system classified patients as: no myocardial damage (Stage 0), LV damage; LVEF < 50% or LV mass index > 79.2 gr/m2 for male and >63.8 gr/m2 for female (Stage 1), left atrial or mitral damage; left atrial volume index > 56 mL/m2, atrial fibrillation or severe mitral annular calcification (Stage 2), right atrial damage; right atrial volume index > 70 mL/m2 (Stage 3) and right ventricular damage; right ventricular EF < 35% (Stage 4) [53]. This system enabled refined risk stratification of severe AS, with Stage 3 and 4 being independently associated with higher all-cause mortality [53], and the results were similar to those obtained by an echocardiography-based staging system [54].
Apart from the volumetric assessment of cardiac function with LVEF and right ventricular EF evaluation, a novel dynamic feature-tracking software has arisen, permitting GLS analysis from MDCT data. Hence, the emerging technology allows shifting from LVEF to LV GLS in MDCT, in parallel with the echocardiography shift from LVEF to LV GLS. MDCT-derived GLS showed excellent correlation with speckle-tracking-echocardiography-derived GLS (r = 0.791, p < 0.001) in a cohort of 214 TAVR recipients [55]. Moreover, MDCT-derived GLS, at the pre-TAVR assessment, has emerged as an independent associate of all-cause mortality [56,57], with a cut-off of −14% being proposed to determine the worst outcomes [57]. In a large cohort of 432 symptomatic severe AS patients undergoing TAVR, not only was pre-operative MDCT-derived GLS an independent predictor of the outcome, but also, subjects who exhibited improvement of GLS one month post-TAVR demonstrated favorable clinical outcomes [58]. This finding outlines the capacity of MDCT-derived LV GLS to detect subtle myocardial improvement post-TAVR (Table 3) [58]. Accordingly, it could be beneficial to measure GLS at part of the pre-TAVR MDCT protocol assessment, as it provides valuable information on post-TAVR prognosis [56,57].

4. Cardiac Magnetic Resonance for Left Ventricular Function

Cardiac magnetic resonance (CMR) can extend beyond volumetric quantification and has the unique strength of myocardial tissue characterization. The extent of myocardial damage can be effectively quantified in the form of local fibrosis by late gadolinium enhancement and in the form of diffuse fibrosis by T1 mapping.
The distribution of gadolinium corresponds to areas of focal replacement fibrosis, which, histologically, represents irreversible myocardial damage and cardiomyocyte death [61]. Dweck et al. demonstrated that mid-wall late gadolinium enhancement was an independent mortality predictor among symptomatic and asymptomatic patients with at least moderate AS, and provided incremental prognostic information on top of LVEF [62]. Barone-Rockette et al. studied 154 patients with severe symptomatic AS, undergoing surgical AVR, and concluded that the presence of late gadolinium enhancement conveyed poor post-operative survival outcomes [63]. In a multicenter registry of 674 patients with severe AS, who had undergone CMR and were treated with surgical or transcatheter AVR, Musa et al. confirmed the aforementioned results by demonstrating an independent association of late gadolinium presence with post-intervention mortality, irrespective of scar pattern [64].
Myocardial T1 mapping expresses the degree of extracellular volume expansion and diffuse myocardial fibrosis, which presents earlier than focal replacement fibrosis and is reversible if a well-timed AVR is pursued [65]. Higher native T1 values were associated with a higher risk of pre- and post-operative events in a group of 127 symptomatic and asymptomatic patients with at least moderate AS [66]. Extracellular volume fraction represents another T1 mapping-derived method to quantify diffuse myocardial fibrosis. When assessed in 440 patients with severe symptomatic AS awaiting AVR, extracellular volume fraction retained an independent association with mortality, even after correction for late gadolinium enhancement [67]. Both late gadolinium enhancement and T1-mapping provide complementary information regarding myocardial fibrosis and can be used in conjunction to risk stratify AS patients before intervention [68].
Nonetheless, further software development has arisen which enables LV deformation assessment by feature-tracking CMR strain analysis in AS, which can be derived from steady-state free precession cine images [69]. Feature-tracking CMR strain parameters in the longitudinal, radial, and circumferential orientation are significantly reduced in patients with AS, compared to normal subjects [70], even when measured post-TAVR [71]. In a group of 63 severe AS patients treated with surgical AVR, both radial, circumferential and longitudinal tissue-tracking stain parameters showed correlation with LV mass regression and extracellular volume, post-intervention [72]. CMR-derived GLS was an independent predictor of reverse remodeling [72]. With respect to the different AS subgroups, feature tracking GLS showed a mild reduction in high-flow high-gradient AS and a severe reduction in classical LFLG AS, but was preserved in paradoxical LFLG subtype, compared to healthy controls in a small series [73]. In this study, paradoxical LFLG was the only subgroup that did not exhibit an increase of CMR-GLS after TAVR, but the small study cohort was a major limitation [73]. Prognostic information was delivered by a larger cohort of at least moderate AS patients, where a feature tracking CMR-derived GLS values of >−17.9% identified patients with the worst event-free survival [59]. Similarly, a circumferential strain of >−18.7% was associated with reduced survival in a cohort undergoing surgical or transcatheter AVR [74]. In the study by Fukui et al., CMR-derived LV GLS emerged as an independent predictor of all-cause mortality in a group of 123 patients with low-gradient severe AS [60]. In the same study, CMR LV GLS <−11% was used, together with the presence of late gadolinium enhancement and extracellular volume >28%, as part of a three-component CMR risk marker tool, where each component had a cumulative effect on the prognosis [60]. Details of those studies are summarized in Table 3. Ultimately, feature-tracing-based CMR strain analysis may be a useful alternative to echocardiography when local expertise is available, but further proof of its prognostic relevance is necessary to establish its role in AS management.

5. Conclusions

LVEF assessed by echocardiography is the main parameter for LV function evaluation in severe AS, endorsed by the current guidelines. However, LVEF is limited to a mere description of the LV volumetric changes during a cardiac cycle. GLS by speckle-tracking echocardiography has emerged as a more sensitive index of LV function, detecting even subtle LV intramyocardial changes that the volumetric LVEF may miss. Considering that LV dysfunction is used as a criterion for AVR, the evaluation of GLS may define the precise time-point for intervention, which is of paramount importance for prognosis, post-AVR. Evidence that GLS may be evaluated with feature-tracking MDCT and CMR has emerged, but the available data are still scarce and further research is warranted to determine its value in clinical practice.

Author Contributions

Conceptualization, V.K.; resources, V.A., S.D., M.-A.B. and D.V.M.; writing—original draft preparation, V.A., S.D. and M.-A.B.; writing—review and editing, T.Z., T.K., A.Z. and V.K.; visualization, V.A., S.D., D.V.M. and V.K.; supervision, A.Z. and V.K.; project administration, V.K. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

ASaortic stenosis
AVRaortic valve replacement
CMRcardiac magnetic resonance
GLSglobal longitudinal strain
LFLGlow flow, low gradient
LVleft ventricle
LVEFleft ventricular ejection fraction
MDCTmulti-detector row computed tomography
TAVRtranscatheter aortic valve replacement

References

  1. Dahl, J.S.; Magne, J.; Pellikka, P.A.; Donal, E.; Marwick, T.H. Assessment of Subclinical Left Ventricular Dysfunction in Aortic Stenosis. JACC Cardiovasc. Imaging 2019, 12, 163–171. [Google Scholar] [CrossRef]
  2. Nagueh, S.F.; Smiseth, O.A.; Appleton, C.P.; Byrd, B.F., 3rd; Dokainish, H.; Edvardsen, T.; Flachskampf, F.A.; Gillebert, T.C.; Klein, A.L.; Lancellotti, P.; et al. Recommendations for the Evaluation of Left Ventricular Diastolic Function by Echocardiography: An Update from the American Society of Echocardiography and the European Association of Cardiovascular Imaging. J. Am. Soc. Echocardiogr. 2016, 29, 277–314. [Google Scholar] [CrossRef]
  3. Treibel, T.A.; Lopez, B.; Gonzalez, A.; Menacho, K.; Schofield, R.S.; Ravassa, S.; Fontana, M.; White, S.K.; DiSalvo, C.; Roberts, N.; et al. Reappraising myocardial fibrosis in severe aortic stenosis: An invasive and non-invasive study in 133 patients. Eur. Heart J. 2018, 39, 699–709. [Google Scholar] [CrossRef]
  4. Hein, S.; Arnon, E.; Kostin, S.; Schonburg, M.; Elsasser, A.; Polyakova, V.; Bauer, E.P.; Klovekorn, W.P.; Schaper, J. Progression from compensated hypertrophy to failure in the pressure-overloaded human heart: Structural deterioration and compensatory mechanisms. Circulation 2003, 107, 984–991. [Google Scholar] [CrossRef]
  5. Otto, C.M.; Nishimura, R.A.; Bonow, R.O.; Carabello, B.A.; Erwin, J.P., 3rd; Gentile, F.; Jneid, H.; Krieger, E.V.; Mack, M.; McLeod, C.; 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–e71. [Google Scholar] [CrossRef]
  6. Vahanian, A.; Beyersdorf, F.; Praz, F.; Milojevic, M.; Baldus, S.; Bauersachs, J.; Capodanno, D.; Conradi, L.; De Bonis, M.; De Paulis, R.; et al. 2021 ESC/EACTS Guidelines for the management of valvular heart disease. Eur. Heart J. 2022, 43, 561–632. [Google Scholar] [CrossRef]
  7. Dahl, J.S.; Eleid, M.F.; Michelena, H.I.; Scott, C.G.; Suri, R.M.; Schaff, H.V.; Pellikka, P.A. Effect of left ventricular ejection fraction on postoperative outcome in patients with severe aortic stenosis undergoing aortic valve replacement. Circ. Cardiovasc. Imaging 2015, 8, e002917. [Google Scholar] [CrossRef]
  8. Taniguchi, T.; Morimoto, T.; Shiomi, H.; Ando, K.; Kanamori, N.; Murata, K.; Kitai, T.; Kadota, K.; Izumi, C.; Nakatsuma, K.; et al. Prognostic Impact of Left Ventricular Ejection Fraction in Patients with Severe Aortic Stenosis. JACC Cardiovasc. Interv. 2018, 11, 145–157. [Google Scholar] [CrossRef]
  9. Baron, S.J.; Arnold, S.V.; Herrmann, H.C.; Holmes, D.R., Jr.; Szeto, W.Y.; Allen, K.B.; Chhatriwalla, A.K.; Vemulapali, S.; O’Brien, S.; Dai, D.; et al. Impact of Ejection Fraction and Aortic Valve Gradient on Outcomes of Transcatheter Aortic Valve Replacement. J. Am. Coll. Cardiol. 2016, 67, 2349–2358. [Google Scholar] [CrossRef]
  10. Capoulade, R.; Le Ven, F.; Clavel, M.A.; Dumesnil, J.G.; Dahou, A.; Thebault, C.; Arsenault, M.; O’Connor, K.; Bedard, E.; Beaudoin, J.; et al. Echocardiographic predictors of outcomes in adults with aortic stenosis. Heart 2016, 102, 934–942. [Google Scholar] [CrossRef]
  11. Bohbot, Y.; de Meester de Ravenstein, C.; Chadha, G.; Rusinaru, D.; Belkhir, K.; Trouillet, C.; Pasquet, A.; Marechaux, S.; Vanoverschelde, J.L.; Tribouilloy, C. Relationship Between Left Ventricular Ejection Fraction and Mortality in Asymptomatic and Minimally Symptomatic Patients with Severe Aortic Stenosis. JACC Cardiovasc. Imaging 2019, 12, 38–48. [Google Scholar] [CrossRef]
  12. Lancellotti, P.; Magne, J.; Dulgheru, R.; Clavel, M.A.; Donal, E.; Vannan, M.A.; Chambers, J.; Rosenhek, R.; Habib, G.; Lloyd, G.; et al. Outcomes of Patients with Asymptomatic Aortic Stenosis Followed Up in Heart Valve Clinics. JAMA Cardiol. 2018, 3, 1060–1068. [Google Scholar] [CrossRef]
  13. Ito, S.; Miranda, W.R.; Nkomo, V.T.; Connolly, H.M.; Pislaru, S.V.; Greason, K.L.; Pellikka, P.A.; Lewis, B.R.; Oh, J.K. Reduced Left Ventricular Ejection Fraction in Patients with Aortic Stenosis. J. Am. Coll. Cardiol. 2018, 71, 1313–1321. [Google Scholar] [CrossRef]
  14. Henkel, D.M.; Malouf, J.F.; Connolly, H.M.; Michelena, H.I.; Sarano, M.E.; Schaff, H.V.; Scott, C.G.; Pellikka, P.A. Asymptomatic left ventricular systolic dysfunction in patients with severe aortic stenosis: Characteristics and outcomes. J. Am. Coll. Cardiol. 2012, 60, 2325–2329. [Google Scholar] [CrossRef]
  15. Dumesnil, J.G.; Shoucri, R.M. Effect of the geometry of the left ventricle on the calculation of ejection fraction. Circulation 1982, 65, 91–98. [Google Scholar] [CrossRef]
  16. Konstam, M.A.; Abboud, F.M. Ejection Fraction: Misunderstood and Overrated (Changing the Paradigm in Categorizing Heart Failure). Circulation 2017, 135, 717–719. [Google Scholar] [CrossRef]
  17. Mihaljevic, T.; Nowicki, E.R.; Rajeswaran, J.; Blackstone, E.H.; Lagazzi, L.; Thomas, J.; Lytle, B.W.; Cosgrove, D.M. Survival after valve replacement for aortic stenosis: Implications for decision making. J. Thorac. Cardiovasc. Surg. 2008, 135, 1270–1278; discussion 1278–1279. [Google Scholar] [CrossRef]
  18. Halkos, M.E.; Chen, E.P.; Sarin, E.L.; Kilgo, P.; Thourani, V.H.; Lattouf, O.M.; Vega, J.D.; Morris, C.D.; Vassiliades, T.; Cooper, W.A.; et al. Aortic valve replacement for aortic stenosis in patients with left ventricular dysfunction. Ann. Thorac. Surg. 2009, 88, 746–751. [Google Scholar] [CrossRef]
  19. Goldberg, J.B.; DeSimone, J.P.; Kramer, R.S.; Discipio, A.W.; Russo, L.; Dacey, L.J.; Leavitt, B.J.; Helm, R.E.; Baribeau, Y.R.; Sardella, G.; et al. Impact of preoperative left ventricular ejection fraction on long-term survival after aortic valve replacement for aortic stenosis. Circ. Cardiovasc. Qual. Outcomes 2013, 6, 35–41. [Google Scholar] [CrossRef]
  20. Kovacs, A.; Olah, A.; Lux, A.; Matyas, C.; Nemeth, B.T.; Kellermayer, D.; Ruppert, M.; Torok, M.; Szabo, L.; Meltzer, A.; et al. Strain and strain rate by speckle-tracking echocardiography correlate with pressure-volume loop-derived contractility indices in a rat model of athlete’s heart. Am. J. Physiol. Heart Circ. Physiol. 2015, 308, H743–H748. [Google Scholar] [CrossRef]
  21. Blessberger, H.; Binder, T. NON-invasive imaging: Two dimensional speckle tracking echocardiography: Basic principles. Heart 2010, 96, 716–722. [Google Scholar] [CrossRef] [PubMed]
  22. Blessberger, H.; Binder, T. Two dimensional speckle tracking echocardiography: Clinical applications. Heart 2010, 96, 2032–2040. [Google Scholar] [CrossRef] [PubMed]
  23. Malm, S.; Frigstad, S.; Sagberg, E.; Larsson, H.; Skjaerpe, T. Accurate and reproducible measurement of left ventricular volume and ejection fraction by contrast echocardiography: A comparison with magnetic resonance imaging. J. Am. Coll. Cardiol. 2004, 44, 1030–1035. [Google Scholar] [CrossRef]
  24. Farsalinos, K.E.; Daraban, A.M.; Unlu, S.; Thomas, J.D.; Badano, L.P.; Voigt, J.U. Head-to-Head Comparison of Global Longitudinal Strain Measurements among Nine Different Vendors: The EACVI/ASE Inter-Vendor Comparison Study. J. Am. Soc. Echocardiogr. 2015, 28, 1171–1181.e2. [Google Scholar] [CrossRef]
  25. Vollema, E.M.; Sugimoto, T.; Shen, M.; Tastet, L.; Ng, A.C.T.; Abou, R.; Marsan, N.A.; Mertens, B.; Dulgheru, R.; Lancellotti, P.; et al. Association of Left Ventricular Global Longitudinal Strain with Asymptomatic Severe Aortic Stenosis: Natural Course and Prognostic Value. JAMA Cardiol. 2018, 3, 839–847. [Google Scholar] [CrossRef]
  26. Yingchoncharoen, T.; Gibby, C.; Rodriguez, L.L.; Grimm, R.A.; Marwick, T.H. Association of myocardial deformation with outcome in asymptomatic aortic stenosis with normal ejection fraction. Circ. Cardiovasc. Imaging 2012, 5, 719–725. [Google Scholar] [CrossRef]
  27. Kusunose, K.; Goodman, A.; Parikh, R.; Barr, T.; Agarwal, S.; Popovic, Z.B.; Grimm, R.A.; Griffin, B.P.; Desai, M.Y. Incremental prognostic value of left ventricular global longitudinal strain in patients with aortic stenosis and preserved ejection fraction. Circ. Cardiovasc. Imaging 2014, 7, 938–945. [Google Scholar] [CrossRef]
  28. Carstensen, H.G.; Larsen, L.H.; Hassager, C.; Kofoed, K.F.; Jensen, J.S.; Mogelvang, R. Basal longitudinal strain predicts future aortic valve replacement in asymptomatic patients with aortic stenosis. Eur. Heart J. Cardiovasc. Imaging 2016, 17, 283–292. [Google Scholar] [CrossRef]
  29. Park, S.J.; Cho, S.W.; Kim, S.M.; Ahn, J.; Carriere, K.; Jeong, D.S.; Lee, S.C.; Park, S.W.; Choe, Y.H.; Park, P.W.; et al. Assessment of Myocardial Fibrosis Using Multimodality Imaging in Severe Aortic Stenosis: Comparison with Histologic Fibrosis. JACC Cardiovasc. Imaging 2019, 12, 109–119. [Google Scholar] [CrossRef]
  30. Magne, J.; Cosyns, B.; Popescu, B.A.; Carstensen, H.G.; Dahl, J.; Desai, M.Y.; Kearney, L.; Lancellotti, P.; Marwick, T.H.; Sato, K.; et al. Distribution and Prognostic Significance of Left Ventricular Global Longitudinal Strain in Asymptomatic Significant Aortic Stenosis: An Individual Participant Data Meta-Analysis. JACC Cardiovasc. Imaging 2019, 12, 84–92. [Google Scholar] [CrossRef]
  31. Kamperidis, V.; van Rosendael, P.J.; Ng, A.C.; Katsanos, S.; van der Kley, F.; Debonnaire, P.; Joyce, E.; Sianos, G.; Marsan, N.A.; Bax, J.J.; et al. Impact of flow and left ventricular strain on outcome of patients with preserved left ventricular ejection fraction and low gradient severe aortic stenosis undergoing aortic valve replacement. Am. J. Cardiol. 2014, 114, 1875–1881. [Google Scholar] [CrossRef]
  32. Sato, K.; Seo, Y.; Ishizu, T.; Takeuchi, M.; Izumo, M.; Suzuki, K.; Yamashita, E.; Oshima, S.; Akashi, Y.J.; Otsuji, Y.; et al. Prognostic value of global longitudinal strain in paradoxical low-flow, low-gradient severe aortic stenosis with preserved ejection fraction. Circ. J. 2014, 78, 2750–2759. [Google Scholar] [CrossRef]
  33. Ng, A.C.T.; Delgado, V.; Bax, J.J. Application of left ventricular strain in patients with aortic and mitral valve disease. Curr. Opin. Cardiol. 2018, 33, 470–478. [Google Scholar] [CrossRef] [PubMed]
  34. Dahou, A.; Bartko, P.E.; Capoulade, R.; Clavel, M.A.; Mundigler, G.; Grondin, S.L.; Bergler-Klein, J.; Burwash, I.; Dumesnil, J.G.; Senechal, M.; et al. Usefulness of global left ventricular longitudinal strain for risk stratification in low ejection fraction, low-gradient aortic stenosis: Results from the multicenter True or Pseudo-Severe Aortic Stenosis study. Circ. Cardiovasc. Imaging 2015, 8, e002117. [Google Scholar] [CrossRef] [PubMed]
  35. Delgado, V.; Tops, L.F.; van Bommel, R.J.; van der Kley, F.; Marsan, N.A.; Klautz, R.J.; Versteegh, M.I.; Holman, E.R.; Schalij, M.J.; Bax, J.J. Strain analysis in patients with severe aortic stenosis and preserved left ventricular ejection fraction undergoing surgical valve replacement. Eur. Heart J. 2009, 30, 3037–3047. [Google Scholar] [CrossRef]
  36. Kempny, A.; Diller, G.P.; Kaleschke, G.; Orwat, S.; Funke, A.; Radke, R.; Schmidt, R.; Kerckhoff, G.; Ghezelbash, F.; Rukosujew, A.; et al. Longitudinal left ventricular 2D strain is superior to ejection fraction in predicting myocardial recovery and symptomatic improvement after aortic valve implantation. Int. J. Cardiol. 2013, 167, 2239–2243. [Google Scholar] [CrossRef]
  37. Logstrup, B.B.; Andersen, H.R.; Thuesen, L.; Christiansen, E.H.; Terp, K.; Klaaborg, K.E.; Poulsen, S.H. Left ventricular global systolic longitudinal deformation and prognosis 1 year after femoral and apical transcatheter aortic valve implantation. J. Am. Soc. Echocardiogr. 2013, 26, 246–254. [Google Scholar] [CrossRef]
  38. Kamperidis, V.; Joyce, E.; Debonnaire, P.; Katsanos, S.; van Rosendael, P.J.; van der Kley, F.; Sianos, G.; Bax, J.J.; Ajmone Marsan, N.; Delgado, V. Left ventricular functional recovery and remodeling in low-flow low-gradient severe aortic stenosis after transcatheter aortic valve implantation. J. Am. Soc. Echocardiogr. 2014, 27, 817–825. [Google Scholar] [CrossRef]
  39. D’Andrea, A.; Carbone, A.; Agricola, E.; Riegler, L.; Sperlongano, S.; Tocci, G.; Scarafile, R.; Formisano, T.; Capogrosso, C.; CappelliBigazzi, M.; et al. Predictive Value of Left Ventricular Myocardial Deformation for Left Ventricular Remodeling in Patients with Classical Low-Flow, Low-Gradient Aortic Stenosis Undergoing Transcatheter Aortic Valve Replacement. J. Am. Soc. Echocardiogr. 2019, 32, 730–736. [Google Scholar] [CrossRef]
  40. Lancellotti, P.; Donal, E.; Magne, J.; Moonen, M.; O’Connor, K.; Daubert, J.C.; Pierard, L.A. Risk stratification in asymptomatic moderate to severe aortic stenosis: The importance of the valvular, arterial and ventricular interplay. Heart 2010, 96, 1364–1371. [Google Scholar] [CrossRef]
  41. Zito, C.; Salvia, J.; Cusma-Piccione, M.; Antonini-Canterin, F.; Lentini, S.; Oreto, G.; Di Bella, G.; Montericcio, V.; Carerj, S. Prognostic significance of valvuloarterial impedance and left ventricular longitudinal function in asymptomatic severe aortic stenosis involving three-cuspid valves. Am. J. Cardiol. 2011, 108, 1463–1469. [Google Scholar] [CrossRef] [PubMed]
  42. Dahl, J.S.; Videbaek, L.; Poulsen, M.K.; Rudbaek, T.R.; Pellikka, P.A.; Moller, J.E. Global strain in severe aortic valve stenosis: Relation to clinical outcome after aortic valve replacement. Circ. Cardiovasc. Imaging 2012, 5, 613–620. [Google Scholar] [CrossRef] [PubMed]
  43. Kearney, L.G.; Lu, K.; Ord, M.; Patel, S.K.; Profitis, K.; Matalanis, G.; Burrell, L.M.; Srivastava, P.M. Global longitudinal strain is a strong independent predictor of all-cause mortality in patients with aortic stenosis. Eur. Heart J. Cardiovasc. Imaging 2012, 13, 827–833. [Google Scholar] [CrossRef]
  44. Nagata, Y.; Takeuchi, M.; Wu, V.C.; Izumo, M.; Suzuki, K.; Sato, K.; Seo, Y.; Akashi, Y.J.; Aonuma, K.; Otsuji, Y. Prognostic value of LV deformation parameters using 2D and 3D speckle-tracking echocardiography in asymptomatic patients with severe aortic stenosis and preserved LV ejection fraction. JACC Cardiovasc. Imaging 2015, 8, 235–245. [Google Scholar] [CrossRef]
  45. Suzuki-Eguchi, N.; Murata, M.; Itabashi, Y.; Shirakawa, K.; Fukuda, M.; Endo, J.; Tsuruta, H.; Arai, T.; Hayashida, K.; Shimizu, H.; et al. Prognostic value of pre-procedural left ventricular strain for clinical events after transcatheter aortic valve implantation. PLoS ONE 2018, 13, e0205190. [Google Scholar] [CrossRef]
  46. Povlsen, J.A.; Rasmussen, V.G.; Vase, H.; Jensen, K.T.; Terkelsen, C.J.; Christiansen, E.H.; Tang, M.; Pedersen, A.L.D.; Poulsen, S.H. Distribution and prognostic value of left ventricular global longitudinal strain in elderly patients with symptomatic severe aortic stenosis undergoing transcatheter aortic valve replacement. BMC Cardiovasc. Disord. 2020, 20, 506. [Google Scholar] [CrossRef]
  47. Fukui, M.; Thoma, F.; Sultan, I.; Mulukutla, S.; Elzomor, H.; Lee, J.S.; Schindler, J.T.; Gleason, T.G.; Cavalcante, J.L. Baseline Global Longitudinal Strain Is Associated with All-Cause Mortality After Transcatheter Aortic Valve Replacement. JACC Cardiovasc. Imaging 2020, 13, 1092–1094. [Google Scholar] [CrossRef]
  48. Lee, S.H.; Oh, J.K.; Lee, S.A.; Kang, D.Y.; Lee, S.; Kim, H.J.; Ahn, J.M.; Kim, J.B.; Park, D.W.; Song, J.M.; et al. Incremental Prognostic Value of Left Ventricular Global Longitudinal Strain in Patients with Preserved Ejection Fraction Undergoing Transcatheter Aortic Valve Implantation. J. Am. Soc. Echocardiogr. 2022, 35, 947–955.e7. [Google Scholar] [CrossRef]
  49. Russell, K.; Eriksen, M.; Aaberge, L.; Wilhelmsen, N.; Skulstad, H.; Remme, E.W.; Haugaa, K.H.; Opdahl, A.; Fjeld, J.G.; Gjesdal, O.; et al. 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, 724–733. [Google Scholar] [CrossRef]
  50. Russell, K.; Eriksen, M.; Aaberge, L.; Wilhelmsen, N.; Skulstad, H.; Gjesdal, O.; Edvardsen, T.; Smiseth, O.A. Assessment of wasted myocardial work: A novel method to quantify energy loss due to uncoordinated left ventricular contractions. Am. J. Physiol. Heart Circ. Physiol. 2013, 305, H996–H1003. [Google Scholar] [CrossRef]
  51. Fortuni, F.; Butcher, S.C.; van der Kley, F.; Lustosa, R.P.; Karalis, I.; de Weger, A.; Priori, S.G.; van der Bijl, P.; Bax, J.J.; Delgado, V.; et al. Left Ventricular Myocardial Work in Patients with Severe Aortic Stenosis. J. Am. Soc. Echocardiogr. 2021, 34, 257–266. [Google Scholar] [CrossRef]
  52. Jain, R.; Bajwa, T.; Roemer, S.; Huisheree, H.; Allaqaband, S.Q.; Kroboth, S.; Perez Moreno, A.C.; Tajik, A.J.; Khandheria, B.K. Myocardial work assessment in severe aortic stenosis undergoing transcatheter aortic valve replacement. Eur. Heart J. Cardiovasc. Imaging 2021, 22, 715–721. [Google Scholar] [CrossRef] [PubMed]
  53. Hirasawa, K.; vanRosendael, P.J.; Fortuni, F.; Singh, G.K.; Kuneman, J.H.; Vollema, E.M.; Ajmone Marsan, N.; Knuuti, J.; Bax, J.J.; Delgado, V. Prognostic implications of cardiac damage classification based on computed tomography in severe aortic stenosis. Eur. Heart J. Cardiovasc. Imaging 2022, 23, 578–585. [Google Scholar] [CrossRef]
  54. Genereux, P.; Pibarot, P.; Redfors, B.; Mack, M.J.; Makkar, R.R.; Jaber, W.A.; Svensson, L.G.; Kapadia, S.; Tuzcu, E.M.; Thourani, V.H.; et al. Staging classification of aortic stenosis based on the extent of cardiac damage. Eur. Heart J. 2017, 38, 3351–3358. [Google Scholar] [CrossRef]
  55. Gegenava, T.; van der Bijl, P.; Hirasawa, K.; Vollema, E.M.; van Rosendael, A.; van der Kley, F.; de Weger, A.; Hautemann, D.J.; Reiber, J.H.C.; Ajmone Marsan, N.; et al. Feature tracking computed tomography-derived left ventricular global longitudinal strain in patients with aortic stenosis: A comparative analysis with echocardiographic measurements. J. Cardiovasc. Comput. Tomogr. 2020, 14, 240–245. [Google Scholar] [CrossRef] [PubMed]
  56. Fukui, M.; Xu, J.; Thoma, F.; Sultan, I.; Mulukutla, S.; Elzomor, H.; Lee, J.S.; Gleason, T.G.; Cavalcante, J.L. Baseline global longitudinal strain by computed tomography is associated with post transcatheter aortic valve replacement outcomes. J. Cardiovasc. Comput. Tomogr. 2020, 14, 233–239. [Google Scholar] [CrossRef]
  57. Gegenava, T.; van der Bijl, P.; Vollema, E.M.; van der Kley, F.; de Weger, A.; Hautemann, D.; Reiber, J.H.C.; Ajmone Marsan, N.; Bax, J.J.; Delgado, V. Prognostic Influence of Feature Tracking Multidetector Row Computed Tomography-Derived Left Ventricular Global Longitudinal Strain in Patients with Aortic Stenosis Treated with Transcatheter Aortic Valve Implantation. Am. J. Cardiol. 2020, 125, 948–955. [Google Scholar] [CrossRef]
  58. Fukui, M.; Hashimoto, G.; Lopes, B.B.C.; Stanberry, L.I.; Garcia, S.; Gössl, M.; Enriquez-Sarano, M.; Bapat, V.N.; Sorajja, P.; Lesser, J.R.; et al. Association of baseline and change in global longitudinal strain by computed tomography with post-transcatheter aortic valve replacement outcomes. Eur. Heart J. Cardiovasc. Imaging 2022, 23, 476–484. [Google Scholar] [CrossRef]
  59. Kim, M.Y.; Park, E.A.; Lee, W.; Lee, S.P. Cardiac Magnetic Resonance Feature Tracking in Aortic Stenosis: Exploration of Strain Parameters and Prognostic Value in Asymptomatic Patients with Preserved Ejection Fraction. Korean J. Radiol. 2020, 21, 268–279. [Google Scholar] [CrossRef]
  60. Fukui, M.; Annabi, M.S.; Rosa, V.E.E.; Ribeiro, H.B.; Stanberry, L.I.; Clavel, M.A.; Rodés-Cabau, J.; Tarasoutchi, F.; Schelbert, E.B.; Bergler-Klein, J.; et al. Comprehensive myocardial characterization using cardiac magnetic resonance associates with outcomes in low gradient severe aortic stenosis. Eur. Heart J. Cardiovasc. Imaging 2022, 24, 46–58. [Google Scholar] [CrossRef]
  61. Weidemann, F.; Herrmann, S.; Stork, S.; Niemann, M.; Frantz, S.; Lange, V.; Beer, M.; Gattenlohner, S.; Voelker, W.; Ertl, G.; et al. Impact of myocardial fibrosis in patients with symptomatic severe aortic stenosis. Circulation 2009, 120, 577–584. [Google Scholar] [CrossRef] [PubMed]
  62. Dweck, M.R.; Joshi, S.; Murigu, T.; Alpendurada, F.; Jabbour, A.; Melina, G.; Banya, W.; Gulati, A.; Roussin, I.; Raza, S.; et al. Midwall fibrosis is an independent predictor of mortality in patients with aortic stenosis. J. Am. Coll. Cardiol. 2011, 58, 1271–1279. [Google Scholar] [CrossRef] [PubMed]
  63. Barone-Rochette, G.; Pierard, S.; De Meester de Ravenstein, C.; Seldrum, S.; Melchior, J.; Maes, F.; Pouleur, A.C.; Vancraeynest, D.; Pasquet, A.; Vanoverschelde, J.L.; et al. Prognostic significance of LGE by CMR in aortic stenosis patients undergoing valve replacement. J. Am. Coll. Cardiol. 2014, 64, 144–154. [Google Scholar] [CrossRef]
  64. Musa, T.A.; Treibel, T.A.; Vassiliou, V.S.; Captur, G.; Singh, A.; Chin, C.; Dobson, L.E.; Pica, S.; Loudon, M.; Malley, T.; et al. Myocardial Scar and Mortality in Severe Aortic Stenosis. Circulation 2018, 138, 1935–1947. [Google Scholar] [CrossRef]
  65. Everett, R.J.; Tastet, L.; Clavel, M.A.; Chin, C.W.L.; Capoulade, R.; Vassiliou, V.S.; Kwiecinski, J.; Gomez, M.; van Beek, E.J.R.; White, A.C.; et al. Progression of Hypertrophy and Myocardial Fibrosis in Aortic Stenosis: A Multicenter Cardiac Magnetic Resonance Study. Circ. Cardiovasc. Imaging 2018, 11, e007451. [Google Scholar] [CrossRef] [PubMed]
  66. Lee, H.; Park, J.B.; Yoon, Y.E.; Park, E.A.; Kim, H.K.; Lee, W.; Kim, Y.J.; Cho, G.Y.; Sohn, D.W.; Greiser, A.; et al. Noncontrast Myocardial T1 Mapping by Cardiac Magnetic Resonance Predicts Outcome in Patients with Aortic Stenosis. JACC Cardiovasc. Imaging 2018, 11, 974–983. [Google Scholar] [CrossRef]
  67. Everett, R.J.; Treibel, T.A.; Fukui, M.; Lee, H.; Rigolli, M.; Singh, A.; Bijsterveld, P.; Tastet, L.; Musa, T.A.; Dobson, L.; et al. Extracellular Myocardial Volume in Patients with Aortic Stenosis. J. Am. Coll. Cardiol. 2020, 75, 304–316. [Google Scholar] [CrossRef]
  68. Chin, C.W.L.; Everett, R.J.; Kwiecinski, J.; Vesey, A.T.; Yeung, E.; Esson, G.; Jenkins, W.; Koo, M.; Mirsadraee, S.; White, A.C.; et al. Myocardial Fibrosis and Cardiac Decompensation in Aortic Stenosis. JACC Cardiovasc. Imaging 2017, 10, 1320–1333. [Google Scholar] [CrossRef]
  69. Schuster, A.; Hor, K.N.; Kowallick, J.T.; Beerbaum, P.; Kutty, S. Cardiovascular Magnetic Resonance Myocardial Feature Tracking: Concepts and Clinical Applications. Circ. Cardiovasc. Imaging 2016, 9, e004077. [Google Scholar] [CrossRef]
  70. Al Musa, T.; Uddin, A.; Swoboda, P.P.; Garg, P.; Fairbairn, T.A.; Dobson, L.E.; Steadman, C.D.; Singh, A.; Erhayiem, B.; Plein, S.; et al. Myocardial strain and symptom severity in severe aortic stenosis: Insights from cardiovascular magnetic resonance. Quant. Imaging Med. Surg. 2017, 7, 38–47. [Google Scholar] [CrossRef]
  71. Buckert, D.; Tibi, R.; Cieslik, M.; Radermacher, M.; Qu, Y.Y.; Rasche, V.; Bernhardt, P.; Hombach, V.; Rottbauer, W.; Wöhrle, J. Myocardial strain characteristics and outcomes after transcatheter aortic valve replacement. Cardiol. J. 2018, 25, 203–212. [Google Scholar] [CrossRef] [PubMed]
  72. Hwang, J.W.; Kim, S.M.; Park, S.J.; Cho, E.J.; Kim, E.K.; Chang, S.A.; Lee, S.C.; Choe, Y.H.; Park, S.W. Assessment of reverse remodeling predicted by myocardial deformation on tissue tracking in patients with severe aortic stenosis: A cardiovascular magnetic resonance imaging study. J. Cardiovasc. Magn. Reson. 2017, 19, 80. [Google Scholar] [CrossRef] [PubMed]
  73. Buckert, D.; Cieslik, M.; Tibi, R.; Radermacher, M.; Rasche, V.; Bernhardt, P.; Hombach, V.; Rottbauer, W.; Wöhrle, J. Longitudinal strain assessed by cardiac magnetic resonance correlates to hemodynamic findings in patients with severe aortic stenosis and predicts positive remodeling after transcatheter aortic valve replacement. Clin. Res. Cardiol. 2018, 107, 20–29. [Google Scholar] [CrossRef] [PubMed]
  74. Musa, T.A.; Uddin, A.; Swoboda, P.P.; Fairbairn, T.A.; Dobson, L.E.; Singh, A.; Garg, P.; Steadman, C.D.; Erhayiem, B.; Kidambi, A.; et al. Cardiovascular magnetic resonance evaluation of symptomatic severe aortic stenosis: Association of circumferential myocardial strain and mortality. J. Cardiovasc. Magn. Reson. 2017, 19, 13. [Google Scholar] [CrossRef]
Figure 1. Symptom occurrence is an inflexion point in the progression of disease in aortic stenosis. Figure 1 illustrates, step by step, the evolution of symptoms, the respective progression of ventricular remodeling, and its expression by the main contemporary imaging biomarkers.
Figure 1. Symptom occurrence is an inflexion point in the progression of disease in aortic stenosis. Figure 1 illustrates, step by step, the evolution of symptoms, the respective progression of ventricular remodeling, and its expression by the main contemporary imaging biomarkers.
Diagnostics 13 01756 g001
Figure 2. Shifting from left ventricular ejection fraction (LVEF) to strain imaging for severe aortic stenosis prognosis. This figure depicts the progression of three different echocardiographic modalities for assessing myocardial function in aortic stenosis, starting from LVEF and moving to the more contemporary imaging biomarkers of global longitudinal strain (GLS), and myocardial work. An example of applying these modalities is illustrated in three different subgroups of aortic stenosis patients including (i) normal flow, high gradient, (ii) paradoxical low flow, low gradient, and (iii) classical low flow, low gradient. GWE—global work efficiency; MPG—mean gradient; Svi—stroke volume indexed.
Figure 2. Shifting from left ventricular ejection fraction (LVEF) to strain imaging for severe aortic stenosis prognosis. This figure depicts the progression of three different echocardiographic modalities for assessing myocardial function in aortic stenosis, starting from LVEF and moving to the more contemporary imaging biomarkers of global longitudinal strain (GLS), and myocardial work. An example of applying these modalities is illustrated in three different subgroups of aortic stenosis patients including (i) normal flow, high gradient, (ii) paradoxical low flow, low gradient, and (iii) classical low flow, low gradient. GWE—global work efficiency; MPG—mean gradient; Svi—stroke volume indexed.
Diagnostics 13 01756 g002
Table 1. Large-scale studies addressing the prognostic role of preoperative left ventricular ejection fraction in aortic stenosis.
Table 1. Large-scale studies addressing the prognostic role of preoperative left ventricular ejection fraction in aortic stenosis.
1st AuthorYearPatients nAS PopulationInterventionCut-Off LVEF (%)Outcomes
Mihaljevic et al. [17]20083049Severe ASSAVR40%Worst long-term survival (5.1 ± 3.2 years follow up)
Halkos et al. [18]2008779Undergoing SAVRSAVR40%Worst unadjusted 1-, 3-, and 5-year survival rates
Goldberg et al. [19]20135277Severe ASSAVR50%Worst survival at 6 months and 8 years
Dahl et al. [7]20152017Symptomatic and asymptomatic severe ASSAVR50%Worst 5-year all-cause mortality (HR, 0.41; 95% CI, 0.35–0.47)
Baron et al. [9]201611,292Undergoing TAVRTAVR30%Higher 1-year mortality rates compared to 50–50% and >50%
Capoulade et al. [10]20161065At least mild ASSAVR55%Best cut-off value to predict all-cause mortality
Ito et al. [13]2018928Severe AS with available echo before diagnosisNot specified50%Worse survival compared to LVEF 50–60% and >60%
Taniguchi et al. [8]20183794Severe ASSAVR or TAVR50%Highest 5-year incidence of composite death or HF hospitalization
Lancellotti et al. [12]20181375At least moderate asymptomatic ASSAVR or TAVR60%Independent predictor of all-cause mortality [HR: 5.01, (95% CI):(2.93–8.57)]
Bohbot et al. [11]20191678Asymptomatic or mildly symptomatic severe ASSAVR55%2-fold increase in all-cause mortality
Abbreviations: AS = aortic stenosis; CI = confidence interval; HF = heart failure; HR = hazard ratio; LVEF = left ventricular ejection fraction; SAVR = surgical aortic valve replacement; TAVR = transcatheter aortic valve replacement.
Table 2. Studies addressing the prognostic role of left ventricular global longitudinal strain, derived by speckle tracking echocardiography in aortic stenosis.
Table 2. Studies addressing the prognostic role of left ventricular global longitudinal strain, derived by speckle tracking echocardiography in aortic stenosis.
1st AuthorYearnAS PopulationCut-Off LV GLS (-%)Association with Outcomes
Lancellottiet et al. [40]2010163Moderate and severe AS15.9Significant predictive power for MACE
Zito et al. [41]201152Asymptomatic severe AS18Significant predictive power for MACE
Dahl et al. [42]2012125Symptomatic severe AS with LVEF > 40%10.3Increased overall mortality, cardiac mortality, and MACEs
Kearney et al. [43]2012146Mild, moderate, and severe AS15One-year MACE-free survival was only 25%
Yingchoncharoen et al. [26]201279Asymptomatic severe AS with LVEF > 50%1516% survival rate at 40 months follow up
Kempny et al. [36]2013101Severe AS undergoing TAVR13.3Predictor of lack of longitudinal strain recovery post TAVR
Logstrup et al. [37]2013100Severe AS undergoing TAVR11.95Pre-TAVR cut-off did not impact on prognosis. LV GLS improvement post TAVR predicted outcomes.
Kamperidis et al. [31]2014134Symptomatic paradoxical low-flow, low-gradient AS with AVAi ≤ 0.6 cm2/m215Mortality rate of 22.4% 3 years after AVR
Kusunose et al. [27]2014395Moderate and severe AS with LVEF > 50%12.143% death during 4.4 ± 1.4 years of follow up
Sato et al. [32]201498Paradoxical low-flow, low-gradient AS with AVAi ≤ 0.6 cm2/m217MACE-free survival rate at 2-year follow-up was 57.5%
Nagata et al. [44]2015104Asymptomatic severe AS with LVEF > 50%17Significant predictive power for MACE
Dahou et al. [34]2015126Low-flow, low-gradient AS with LVEF ≤ 40% and AVAi ≤ 0.6 cm2/m2949% 3-year survival
Suzuki Eguchi et al. [45]2018128Severe AS undergoing TAVR10.6Freedom from events for patients with GLS ≤ −10.6% occurred more often compared to GLS > −10.6
Vollema et al. [25]2018220Asymptomatic severe AS18.2Higher risk for symptoms development or requiring aortic valve intervention
D’Andrea A et al. [39]201975Classical low-flow, low-gradient severe AS undergoing TAVR12Identified patients with lack of reverse remodeling after TAVR
Povlsen et al. [46]2020411Severe AS undergoing TAVR14Independent predictor of all-cause mortality
Fukui et al. [47]2020510Symtomatic severe AS16Patients with normal LVEFs but reduced GLS had worst survival that those with normal LVEFs and reduced GLS
Lee et al. [48]2022412Severe AS undergoing TAVR16Independent predictor of all-cause death and the composite outcome
Abbreviations: AS—aortic stenosis; AVAi—aortic valve area index; AVR—aortic valve replacement; HR—hazard ratio; LVEF—left ventricular ejection fraction; LV GLS—left ventricular global longitudinal strain; MACE—major adverse cardiovascular event; TAVR—transcatheter aortic valve replacement.
Table 3. Studies addressing the prognostic role of left ventricular global longitudinal strain derived by multi-detector row computed tomography and cardiac magnetic resonance in aortic stenosis.
Table 3. Studies addressing the prognostic role of left ventricular global longitudinal strain derived by multi-detector row computed tomography and cardiac magnetic resonance in aortic stenosis.
1st AuthorYearnAS PopulationCut-Off LV GLS (-%)Association with Outcomes
Multi-detector row computed tomography
Fukui et al. [56]2020223Severe AS undergoing TAVR20.5Independent association with all-cause mortality and composite outcome
Gegenava et al. [57]2020214Severe AS undergoing TAVR14After 48 months of follow-up, rate of all-cause mortality for GLS ≤ −14% was 15%, versus 28% for GLS > −14%
Fukui et al. [58]2022431Severe AS undergoing TAVR18.2GLS > −18.2% had a higher risk of the composite outcome than GLS ≤ −18.2% (HR, 1.77; 95% CI, 1.18–2.66; p = 0.006)
Cardiac magnetic resonance
Kim et al. [59]2020123Asymptomatic moderate to severe AS with preserved LVEF17.9GLS > −17.9% had worse event-free survival than GLS < −17.9%
Fukui et el. [60]2022147Low-gradient moderate to severe AS12.4GLS < −12.4% was associated with a higher risk for all-cause mortality and composite outcome
Abbreviations: AS—aortic stenosis; AVAi—aortic valve area index; CI—confidence interval; HR—hazard ratio; LVEF—left ventricular ejection fraction; LV GLS—left ventricular global longitudinal strain; TAVR—transcatheter aortic valve replacement.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Anastasiou, V.; Daios, S.; Bazmpani, M.-A.; Moysidis, D.V.; Zegkos, T.; Karamitsos, T.; Ziakas, A.; Kamperidis, V. Shifting from Left Ventricular Ejection Fraction to Strain Imaging in Aortic Stenosis. Diagnostics 2023, 13, 1756. https://doi.org/10.3390/diagnostics13101756

AMA Style

Anastasiou V, Daios S, Bazmpani M-A, Moysidis DV, Zegkos T, Karamitsos T, Ziakas A, Kamperidis V. Shifting from Left Ventricular Ejection Fraction to Strain Imaging in Aortic Stenosis. Diagnostics. 2023; 13(10):1756. https://doi.org/10.3390/diagnostics13101756

Chicago/Turabian Style

Anastasiou, Vasileios, Stylianos Daios, Maria-Anna Bazmpani, Dimitrios V. Moysidis, Thomas Zegkos, Theodoros Karamitsos, Antonios Ziakas, and Vasileios Kamperidis. 2023. "Shifting from Left Ventricular Ejection Fraction to Strain Imaging in Aortic Stenosis" Diagnostics 13, no. 10: 1756. https://doi.org/10.3390/diagnostics13101756

APA Style

Anastasiou, V., Daios, S., Bazmpani, M. -A., Moysidis, D. V., Zegkos, T., Karamitsos, T., Ziakas, A., & Kamperidis, V. (2023). Shifting from Left Ventricular Ejection Fraction to Strain Imaging in Aortic Stenosis. Diagnostics, 13(10), 1756. https://doi.org/10.3390/diagnostics13101756

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop