Abstract
Background
There is limited information regarding left atrial (LA) mechanics in aortic valve stenosis (AS). We assessed LA mechanics in AS through speckle-tracking echocardiography (STE) according to severity and prognosis.
Methods
We included 102 patients diagnosed with severe AS (sAS) and 80 patients with moderate AS (mAS), all with preserved ejection fraction and no coronary artery disease. LA mechanics and left ventricular global longitudinal strain (LV-GLS) were assessed by STE. The cohort was followed-up for a median of 30 (IQR 12.6–50) months, and outcomes were determined (combined outcome of HF, death, and aortic valve replacement).
Results
In our sample set, values of LV-GLS (− 18.5% vs − 17.1, p = 0.025), E/e’ ratio (15.8 vs 18.4, p = 0.03), and global LA mechanics (LA ɛsys, 23% vs 13.8%, p < 0.001) were worse for sAS compared to those for mAS. However, LA ɛsys (AUC 0.85, 95% CI 0.78–0.90, p < 0.001), ɛe (AUC 0.83, 95% CI 0.75–0.88, p < 0.001), and ɛa (AUC 0.80, 95% CI 0.70–0.84, p < 0.001) were the best discriminators of sAS, with sensitivities higher than 85%. LA ɛsys showed a stronger correlation with both aortic valve area (r2 = 0.6, p < 0.001) and mean LV/aortic gradient (r2 = 0.55, p < 0.001) than LV-GLS (r2 = 0.3 and r2 = 0.25, p = 0.01). Either LV-GLS or LA ɛsys, but not the E/e’ ratio, TAPSE, or RV/RA gradient, were a significant predictors of the combined outcome.
Conclusions
LA global strain was the best discriminator of severity, surpassing E/e’ ratio and LV-GLS, and a significant predictor of prognosis in AS.
Keywords: Aortic stenosis, atrial mechanics, two-dimensional speckle-tracking strain
Background
Aortic valve stenosis (AS) is currently the most common valvular heart disease, and its prevalence is increasing as the population ages [1]. Currently, the management of patients with AS is based on the assessment of AS severity, left ventricular ejection fraction (LVEF), and symptom development [2]. In patients with aortic valve disease, the left atrium (LA) undergoes remodeling due to pressure overload, resulting in disturbances in three functional phases: reservoir, conduit, and contractile phase [3, 4]. In patients with AS, there is an increase in filling pressures and LA afterload, due to left ventricular (LV) hypertrophy. The increase in LA afterload affects its triphasic function, with particular loss of LA contractile function [5]. Reservoir and conduit phases damage is less evident and probably occurs in more advanced states, related to pulmonary hypertension [5, 6].
Speckle-tracking echocardiographic (STE) analysis allows a rapid and practical assessment of the atrial deformation profile, due to its semiautomated system and offline processing [4, 7].
LA mechanics assessed by STE have been studied for cardiovascular disease in different clinical settings [4]. LA strain is a prognostic marker for mitral valvulopathy [6] and is correlated with pulmonary hypertension in patients with severe AS (sAS) [6]. Moreover, in sAS, atrial function is an independent predictor of postoperative atrial fibrillation (AF) in patients undergoing aortic valve replacement (AVR) [8]. Preoperative early mitral inflow velocity-to-early diastolic strain rate (E/SRe) ratio was significantly associated with long-term postoperative survival and was superior to the E/e’ ratio in patients with sAS undergoing AVR [9].
However, there is limited information on LA mechanics in AS and how they vary according to the severity of the disease. Elucidation of independently associated parameters of severity that can aid in the diagnosis of AS and determining the need for AVR in doubtful cases (e.g., paradoxical AS) is clinically relevant. Moreover, it is pertinent to understand the mechanisms responsible for poor prognosis or suboptimal results in patients undergoing AVR.
The aim of our study was to analyze LA mechanics through STE in AS to find better discriminators of disease severity and prognosis, beyond classic echocardiographic parameters. We also sought to correlate LA mechanics to known markers of severity, such as aortic valve area (AVA) and mean LV/aortic gradient.
Methods
Study population
We conducted a retrospective analysis of a prospectively enrolled cohort of 102 patients diagnosed with sAS and 80 patients with moderate AS (mAS). Patients with heart surgery, coronary lesions, segmental wall-motion abnormalities, hypothyroidism, LVEF < 50%, and/or poor acoustic window were excluded. Importantly, we also have excluded patients with paradoxical low flow low gradient aortic stenosis [this is, an AVA ≤1.0 cm2 or indexed AVA ≤0.6 cm2/m2, a mean pressure gradient (MPG) < 40 mmHg, a LVEF ≥50% and a stroke volume index (SVi) < 35 mL/m2].
The study was approved by the institutional scientific and bioethical committees and was performed in accordance with the Declaration of Helsinki.
Study procedures
We analyzed the epidemiologic, clinical, analytical, and echocardiographic data (namely, 2D-STE global longitudinal strain (GLS) analysis) of the selected population (patients with sAS and mAS). The cohort was followed-up during a median period of 30 months (IQR 12.6–50), and outcomes (hospital admission for heart failure (HF), death, and AVR through surgery or percutaneously) were determined.
Preliminary data was presented by the authors at Poster Session European Heart Journal - Cardiovascular Imaging, January 2019 [10].
Echocardiographic data
Echocardiographic examination included tissue Doppler imaging (TDI) and STE analysis of LV, LA, and right ventricular (RV) functions, as previously described [6, 11]. We used a Vivid 7 (GE Healthcare, Horten, Norway) cardiovascular (CV) ultrasound device, with a 1.7/3.4-MHz tissue harmonic transducer. Standard echocardiographic views where obtained with 60–80 fps in 2D imaging. Echocardiographic data were analyzed offline using a specific software (EchoPAC 16.0, GE Healthcare, Horten, Norway).
AS severity
We measured aortic transvalvular peak velocities through continuous-wave Doppler, obtained peak and mean from the simplified Bernoulli equation and aortic valve area through the continuity solution equation [12].
Left ventricular dimensions and function
We followed to the current recommendations [13, 14] to measure LV size and systolic and diastolic functions. Peak LV-GLS was assessed by STE using a 16-segment model [11, 15].
LA dimensions and function
Analysis of LA deformation by STE was performed on four-chamber, with three consecutive heart cycles being recorded during breath hold and a frame rate of 60–80 fps, as recommended. Automatic offline software analysis generated and averaged strain curves for each atrial segment [16]. P-wave onset marked the initial frame of processing. LA global strain and strain rate during systole (LA ɛsys and SRs), early diastole (LA ɛe, SRe), and late diastole (LA ɛa, SRa) corresponding to the LA reservoir, conduit, and contractile functions, respectively, were measured [4].
Statistical analysis
Normality of continuous variables was assessed by histogram observation and the Kolmogorov–Smirnov test. Continuous variables were expressed as mean ± standard deviation and categorical variables as percentage. Student’s t-test or ANOVA was used for group comparisons. Individual variables were assessed for homogeneity of variance using Levene’s test. For categorical variables, the chi-square or Fisher’s exact test was used, as appropriate.
A receiver operating characteristic (ROC) curve analysis was performed to compute the discriminative power of LA mechanics, LV 2D-STE, E/e’ ratio, tricuspid annular plane systolic excursion (TAPSE), or RV/right atrium (RV/RA) gradient in sAS and mAS. A comparison of ROC curves was executed using the Delong method.
Relationships between different parameters were assessed by correlation analysis: Pearson’s method for continuous, normally distributed variables and Spearman’s method for continuous but skewed variables.
Survival analysis was performed using Kaplan-Meier curves, with the date of entry into the study defined as the date of the diagnosis (first echocardiography). Patients that did not die were censored at the end of the study.
Univariate Cox’s proportional hazards analysis was used to to identify independent predictors of outcomes in the overall AS population.
A P-value (two-sided) < 0.05 indicated statistical significance. Stata (Stata IC for Windows, version 13, Lakeway Drive, TX, USA) and MedCalc statistical software (MedCalc software for Windows, version 14.8.1, Ostend, Belgium) were used for the statistical analyses.
Results
Study population
The clinical and echocardiographic features are shown in Table 1. The mean patient age was 76 ± 7.9 years, and 51% of the patients were male. The mean values were as follows: 17.7 ± 3.9% for LV-GLS, 41 ± 12.1 mL.m− 2 for indexed LA volume (LAVI), 17.2 ± 2% for E/e’ ratio, 20.3 ± 3.5 mm for TAPSE, and 24.1 ± 10 mmHg for RV/RA gradient. The mean aortic valve area (AVA) was 0.9 ± 0.3 cm2, and LV/aortic gradient was 40.7 ± 12.8 mmHg.
Table 1.
Clinical and echocardiographic data of the study population
| sAS | mAS | P-value | |
|---|---|---|---|
| Age (±SD, years) | 76.4 (±8.8) | 76.2 (±6.9) | 0.834 |
| Men (%) | 54.9 | 46.9 | 0.337 |
| Atrial fibrillation (%) | 24.4 | 25 | 0.932 |
| Symptoms (%) | 86.6 | 21.9 | < 0.001 |
| LVEF (±SD, %) | 60.3 (±7.3) | 62.2 (±5.4) | 0.084 |
| LVDD (±SD, mm) | 51.6 (±6.7) | 52.2 (±7.4) | 0.604 |
| LVSD (±SD, mm) | 33.8 (±7.1) | 32.6 (±6.7) | 0.238 |
| IVS (±SD, mm) | 12.8 (±3.8) | 11.5(±2.3) | 0.021 |
| E/e’ (±SD) | 18.4 (±8.0) | 15.8 (±4.3) | 0.034 |
| TAPSE (±SD, mm) | 20.2 (±3.6) | 20.6 (±3.3) | 0.488 |
| PASP (±SD, mmHg) | 28.9 (±11.8) | 29.5 (±10.1) | 0.779 |
| LAVI (±SD, mL.m−2) | 42.6 (±12.3) | 39.5 (±12.2) | 0.129 |
| LV-GLS (±SD,%) | −17.1 (±3.84) | −18.5 (±3.85) | 0.025 |
| LA ɛsys (±SD,%) | 13.8 (±5.7) | 23.1 (±7.0) | < 0.001 |
| LA ɛe(±SD,%) | 6.5 (±3.2) | 11.5(±4.4) | < 0.001 |
| LA ɛa(±SD,%) | 7.1(±3.9) | 11.5(±4.4) | < 0.001 |
| LA SRs(±SD,%) | 0.8 (±0.3) | 1.0(±0.3) | < 0.001 |
| LA SRe(±SD,%) | −0.5(±0.3) | −0.7(±0.3) | 0.003 |
| LA SRa(±SD,%) | −1.03 (±0.4) | −1.2(±0.4) | 0.017 |
| Global strain (±SD,%) | 4.6(±0.9) | −3.1 (±0.7) | < 0.001 |
IVS interventricular septum, LAVI left atrial volume (indexed), LA ɛsys left atrial systolic strain (reservoir function), LA ɛe left atrial early diastolic strain (conduit function), LA ɛa left atrial late diastolic strain (contractile function), LA SRs left atrial systolic strain rate (reservoir function), LA SRe left atrial early diastolic strain rate (conduit function), LA SRa left atrial late diastolic strain (contractile function), LV-GLS left ventricular global longitudinal strain, LVDD left ventricular end-diastolic diameter, LVSD left ventricular end-systolic diameter, LVEF left ventricular ejection fraction, mAS moderate aortic stenosis, PASP pulmonary artery systolic pressure, sAS severe aortic stenosis, TAPSE tricuspid annular plane systolic excursion.
STE-GLS and LA mechanics analysis in AS
Among classic echocardiographic parameters, only interventricular septum (IVS) diameter (12.8 vs 11.5 mm, p = 0.021) and E/e’ ratio (15.8 vs 18.4, p = 0.03) had worse values in sAS compared to that in mAS. On 2D-STE analysis, LV-GLS (− 18.5% vs − 17.1, p = 0.025) and LA global mechanics (LA ɛsys, 23% vs 13.8%, p < 0.001) were more impaired in sAS. Global strain (the sum of LV-GLS and reservoir LA strain [LA ɛsys]) had negative values and was statistically lower in sAS (p < 0.001).
Correlation analysis of classic parameters and STE (LA vs LV) showed that LA ɛsys was closely related to both aortic valve area (r2 = 0.6, p < 0.001) and mean LV/aortic gradient (r2 = 0.55, p < 0.001), when comparing LV-GLS to these two parameters (r2 = 0.3 and r2 = 0.25, p = 0.01) (Fig. 1).
Fig. 1.
Linear regression analysis of LV-GLS with aortic valve area (a) versus LA ɛsys with aortic valve area (b); LV-GLS with mean LV/aortic gradient (c) versus LA ɛsys LV/aortic gradient (d). GLS, global longitudinal strain; LA, left atrium; LV, left ventricle
Discriminators of AS severity
Compared to classic echocardiographic parameters and even LV-GLS, LA strain parameters emerged as the best discriminators of AS severity, with mean AUCs of 0.8 or more and sensitivities higher than 85%. Global strain also had an AUC above 0.8 and was the most specific factor for sAS (Table 2 and Fig. 2).
Table 2.
Discriminative power of echocardiographic parameters according to aortic stenosis severity
| AUC | 95% CI | P-value | Sensitivity (%) | Specificity (%) | Criterion | |
|---|---|---|---|---|---|---|
| LA ɛsys (%) | 0.870 | 0.799–0.923 | < 0.001 | 85.0 | 64.1 | 11 |
| LA ɛe (%) | 0.824 | 0.747–0.886 | < 0.001 | 88.7 | 73.4 | 9.4 |
| LA ɛa (%) | 0.810 | 0.732–0.874 | < 0.001 | 86.6 | 76.6 | 18.5 |
| Global strain (%) | 0.809 | 0.735–0.870 | < 0.001 | 69.6 | 85.9 | 0.56 |
| LA SRs (%) | 0.707 | 0.626–0.779 | < 0.001 | 41.5 | 90.6 | 0.64 |
| LA SRe (%) | 0.645 | 0.556–0.728 | 0.001 | 71.9 | 56.1 | 0.28 |
| LA SRa (%) | 0.628 | 0.538–0.712 | 0.006 | 50.7 | 75.0 | −1 |
| IVS (mm) | 0.623 | 0.540–0.702 | 0.001 | 46.3 | 76.6 | 12 |
| LV-GLS (%) | 0.606 | 0.516–0.691 | 0.056 | 77.2 | 37.5 | −20 |
| LAVI (mL.m−2) | 0.593 | 0.508–0.675 | 0.054 | 59.8 | 62.5 | 39.7 |
| E/e’ ratio | 0.588 | 0.493–0.678 | 0.097 | 31.8 | 90.6 | 21.5 |
| TAPSE (mm) | 0.543 | 0.458–0.627 | 0.427 | 42.5 | 75 | 18 |
| PASP (mmHg) | 0.531 | 0.446–0.615 | 0.517 | 41.8 | 73.4 | 23 |
AUC area under the curve, IVS interventricular septum, LAVI left atrial volume (indexed), LA ɛsys left atrial systolic strain (reservoir function), LA ɛe left atrial early diastolic strain (conduit function), LA ɛa left atrial late diastolic strain (contractile function), LA SRs left atrial systolic strain rate (reservoir function), LA SRe left atrial early diastolic strain rate (conduit function), LA SRa left atrial late diastolic strain (contractile function), LV-GLS left ventricular global longitudinal strain, PASP pulmonary artery systolic pressure, TAPSE tricuspid annular plane systolic excursion
Fig. 2.
ROC analysis curves for discriminating mAS versus sAS. LA mechanics was a better discriminator of AS severity. LV-GLS vs global strain, P = 0.009; LV-GLS vs LA ɛa, P = 0.004; LV-GLS vs LA ɛe, P = 0.001; LV-GLS vs LA ɛsys, P < 0.001; global strain vs E/e’ ratio, p = 0.001; LA ɛa vs LA ɛsys, P = 0.038; LA ɛa vs E/e’ ratio, P = 0.003; LA ɛe vs E/e’ ratio, P = 0.001; LA ɛsys vs E/e’ ratio, P < 0.001; LV-GLS vs E/e’ ratio, NS; global strain vs LA ɛe, NS; global strain vs LA ɛa, NS; global strain vs LA ɛsys, NS; LA ɛa vs LA ɛe, NS; LA ɛe vs LA ɛsys, NS. LA ɛsys, left atrial systolic strain (reservoir function); LA ɛe, left atrial early diastolic strain (conduit function); LA ɛa, left atrial late diastolic strain (contractile function); LV-GLS, left ventricular global longitudinal strain; mAS, moderate aortic stenosis; sAS, severe aortic stenosis
Table 3 shows a schematic redistribution of AS severity according to different LA strain parameters, in which 5% (LA ɛa) to 30%(global strain) cases of moderate AS have criteria of severity. In classic severe AS, the majority of cases have severity criteria, except when based on LAɛsys, where 69% cases have preserved values of this parameter.
Table 3.
Reclassification of aortic stenosis severity based on different severity parameters
| Mean Gradient (mmHg) | Moderate AS (n=80) | Severe AS (n=102) | Severity criterion > 40 | ||
| 80 | 102 | ||||
| LA ɛsys (%) | ≥11 | < 11 | ≥11 | < 11 | Severity criterion < 11 |
| 75 | 5 | 70 | 32 | ||
| LA ɛe (%) | ≥9.4 | < 9.4 | ≥9.4 | < 9.4 | Severity criterion < 9.4 |
| 59 | 21 | 16 | 86 | ||
| LA ɛa (%) | ≥18.5 | < 18.5 | ≥18.5 | < 18.5 | Severity criterion < 18.5 |
| 76 | 4 | 4 | 98 | ||
| Global strain (%) | ≥0.56 | < 0.56 | ≥ 0.56 | < 0.56 | Severity criterion < 0.56 |
| 56 | 24 | 25 | 77 | ||
LA ɛsys left atrial systolic strain (reservoir function), LA ɛe left atrial early diastolic strain (conduit function), LA ɛa left atrial late diastolic strain (contractile function)
AF
The prevalence of AF in our cohort was 24.4% for sAS and 25% for mAS. Although there was no statistically significant difference in prevalence between the two groups, we decided to perform a multivariate regression model. We analyzed the influence of AF in echocardiographic parameters, particularly LV and atrial strain analysis, according to the severity of AS (Table 4). Although having more influence in worse LV-GLS values (AF impaired LV-GLS by an order of 0.9%, while sAS by 0.48%), AF had lower impact on LA mechanics (impairing LA ɛsys by 3.55% and LA ɛe by 2.6%, while sAS impaired LA ɛsys by 8.31%, LA ɛe by 3.9%, and LA ɛa by 3.5%; all p < 0.001).
Table 4.
Multivariate regression model for discriminating the effect of the severity of AS versus atrial fibrillation by several strain parameters
| Multivariate regression model | β-coefficient | 95% CI | P-value |
|---|---|---|---|
| LV-GLS (%) | |||
| sAS | 1.48 | 0.2; 2.7 | 0.021 |
| AF | 1.9 | 0.4; 3.3 | 0.012 |
| LA ɛsys (%) | |||
| sAS | −9.31 | −11.3; −7.3 | < 0.001 |
| AF | −4.55 | −6.8; −2.3 | < 0.001 |
| LA ɛe (%) | |||
| sAS | −4.9 | −6.22; −3.7 | < 0.001 |
| AF | −0.9 | − 2.3; 0.6 | 0.248 |
| LA ɛa (%) | |||
| sAS | −4.5 | −5.7; − 3.2 | < 0.001 |
| AF | −3.6 | −5.1; −2.1 | < 0.001 |
AF atrial fibrillation, LA ɛsys left atrial systolic strain (reservoir function), LA ɛe left atrial early diastolic strain (conduit function), LA ɛa left atrial late diastolic strain (contractile function), LA SRs left atrial systolic strain rate (reservoir function), LA SRe left atrial early diastolic strain rate (conduit function), LA SRa left atrial late diastolic strain (contractile function), LV-GLS left ventricular global longitudinal strain, sAS severe aortic stenosis
Survival and event-free rate analysis
Kaplan-Meier curves are depicted in Fig. 3. Results of the Cox regression analysis is presented on Table 5. Only LA-SRS and GLS were significant predictors of HF (BNP, TAPSE, E/e’ ratio, AF, RV/RA gradient were not). AVR was predicted by mean gradient, AVA, LA ɛsys and LAɛe. Predictors of death were age, BNP, LA ɛe and GLS. Regarding the combined outcome of HF, death, and AVR, LV-GLS, LA ɛsys and global strain, but not E/e’ ratio, TAPSE or RV/RA gradient, were significantly associated with poor outcomes.
Fig. 3.
Kaplan-Meier survival curves in the general cohort (a), according to LV-GLS (b), LA ɛsys, (c) and global strain (d). LA ɛsys, left atrial systolic strain (reservoir function); LV-GLS, left ventricular global longitudinal strain
Table 5.
Cox regression analysis results
| Outcomes | Predictors | HR (95%CI) | P value |
|---|---|---|---|
| Heart failure | LA-SRs | 0.17 (0.1-0.8) | 0.022 |
| GLS | 1.11 (1.0-1.3) | 0.045 | |
| BNP | 1.0 (0.9-1.01) | 0.810 | |
| E/e’ ratio | 1.0 (0.9-1.1) | 0.710 | |
| TAPSE | 0.96 (0.84-1.1) | 0.522 | |
| RV/RA gradient | 1.0 (0.9-1.1) | 0.667 | |
| Aortic valve replacement | Mean gradient | 1.40 (1.1-1.6) | < 0.001 |
| AVA | 0.04 (0.01-0.14) | < 0.001 | |
| LA ɛsys | 0.95 (0.91-0.99) | 0.027 | |
| LA ɛe | 0.91 (0.85-0.98) | 0.026 | |
| Death | BNP | 1.2 (1.0-1.3) | 0.002 |
| LA ɛe | 0.84 (0.74-0.96) | 0.010 | |
| GLS | 1.22 (1.08-1.41) | 0.003 | |
| Combined outcome | LV-GLS (%) | 1.16 (1.08-1.23) | < 0.001 |
| LA ɛsys (%) | 0.9 (0.92-0.93) | < 0.001 | |
| Global strain | 0.95 (0.93-0.98) | 0.035 | |
| E/e’ ratio | 1.01 (0.97-1.04) | 0.667 | |
| TAPSE (mm) | 0.97 (0.01-1.03) | 0.414 | |
| RV/RA gradient | 1.01 (0.98-1.04) | 0.285 |
LA ɛsys left atrial systolic strain (reservoir function), LA ɛe left atrial early diastolic strain (conduit function), LA ɛa left atrial late diastolic strain (contractile function), LA SRs left atrial systolic strain rate (reservoir function), LA SRe left atrial early diastolic strain rate (conduit function), LA SRa left atrial late diastolic strain (contractile function), LV-GLS left ventricular global longitudinal strain, RV/RA gradient right ventricle/right atrium gradient, TAPSE tricuspid annular plane systolic excursion
Discussion
We described the LA function in patients with stenotic aortic valve disease and assessed its impact on severity and prognosis. In our study, 2D-STE LV-GLS and global LA mechanics were more impaired in sAS. LA ɛsys was closely related to both aortic valve area and mean LV/aortic gradient when compared to LV-GLS. Moreover, LA strain parameters were the best discriminators of AS severity, with mean AUCs of 0.8 or more and sensitivities higher than 85%. Regarding prognosis, LV-GLS, LA ɛsys, and global strain were better correlated with the combined outcome of HF, death, and AVR.
AS causes LV remodeling with decreased LV compliance, increased diastolic pressure and LA afterload. In earlier stages, LA preload is normal and augments with LA volume [5]. In our study, volumetric parameters did not vary according to AS severity (mAS vs sAS), while LV filling pressures (E/e’ ratio) did. This shows a gradual increase in diastolic dysfunction, consistent to the severity of AS.
LA mechanics assessment was performed through STE, which, by allowing selective analysis of myocardial layers (when compared to TDI), guarantees an optimized analysis of the LA thin myocardial layer [5, 17].
We demonstrated that in patients with AS, the LA ɛsys was closely associated with both the aortic valve area and mean LV/aortic gradient, while LV-GLS was not. This can be indicative of impairment of LA compliance, even before the onset of LV subendocardial dysfunction in aortic valvular disease [5, 6].
IVS, E/e’ ratio, LV-GLS, and LA mechanics were significantly impaired in sAS. Among these, LA mechanics were strongly associated with severity: LA ɛsys (reservoir) had the highest AUC, and LA ɛe (conduit) had the highest sensitivity, while global strain and LA ɛa (contractile) had the highest specificities.
Moderate valvular disease shows only impaired values for LA function in the contractile phase, with normal values for the reservoir and conduit phases [5]. This may be due to an increase in LA afterload, resulting in atrial myofibril damage and contractile dysfunction. In the initial stages of LA remodeling, the interstitial collagen deposition is not extensive; therefore, LA compliance is preserved. This may be because in our cohort, the most discriminative parameter for sAS was LA ɛsys (reservoir), with global strain being the most specific parameter.
Strain analysis allowed rearrangement of AS cases according to severity criteria. We could find 5 to 30% cases of moderate AS that had severity criteria (Table 3). This distribution in the severe AS cohort was less accurate with a somewhat heterogenous distribution.
When assessing prognosis, LV-GLS, LA ɛsys, and global strain emerged as significant predictors of the combined outcome compared to the classic parameters, such as E/e’ ratio, TAPSE, or RV/RA gradient.
Previous studies have shown that LA reservoir function is associated with a poor prognosis in the general population and in patients with AF and mitral stenosis [18, 19]. Also, it has been previously reported that LA ɛsys is a strong predictor of major adverse cardiac events, as also the functional class and coronary artery disease, in patients with sAS [20]. In our study, we assessed LA mechanics not only in sAS, but also in mAS, and LA ɛsys was associated with worse outcomes in both groups. Similarly, we excluded the presence of coronary artery disease, precisely because it would interfere in the analysis of discriminators of severity and worse prognosis.
Monitoring LA function in patients with AS can provide valuable information. First, LA mechanics has a greater discriminative power than other classic echocardiographic parameters for assessing severity and is closely associated with classic measures, such as mean LV/aortic gradient. Thus, LA mechanics can provide additional diagnostic information in doubtful cases, such as paradoxical low-flow and low-gradient AS. Second, LA mechanics was associated with worse outcomes, therefore can enhance prognosis assessment and help better define the appropriate surgical or percutaneous intervention timing in doubtful cases.
Limitations
Although both groups of patients were moderately represented, and the sample size was suitable for data analysis, these findings must be conformed in a larger population with longitudinal studies.
Conclusions
This study reports that LA-GLS can be a useful tool to better determine severity in AS. Compared to classic parameters, such as E/e’ ratio, LA mechanics are more closely associated with mean LV/aortic gradient and valve area. Moreover, LA mechanics and LV-GLS provide valuable information for assessing prognosis in patients with AS. These data can be useful in clinical practice for severity calculation and prognostic evaluation, such as decision and timing of AVR, when evaluating doubtful cases.
Acknowledgements
Not applicable.
Abbreviations
- AF
Atrial fibrillation
- AS
Aortic stenosis
- AVR
Aortic valve replacement
- CI
Confidence interval
- CV
Cardiovascular
- HF
Heart failure
- IVS
Interventricular septum
- LA ɛa
Left atrial late diastolic strain (contractile function)
- LA ɛe
Left atrial early diastolic strain (conduit function)
- LA ɛsys
Left atrial systolic strain (reservoir function)
- LA SRa
Left atrial late diastolic strain (contractile function)
- LA SRe
Left atrial early diastolic strain rate (conduit function)
- LA SRs
Left atrial systolic strain rate (reservoir function)
- LA
Left atrium
- LAVI
Left atrial volume (indexed)
- LVDD
Left ventricular end-diastolic diameter
- LVEF
Left ventricular ejection fraction
- LV-GLS
Left ventricular global longitudinal strain
- LVSD
Left ventricular end-systolic diameter
- mAS
Moderate aortic stenosis
- PASP
Pulmonary artery systolic pressure
- RA
Right atrium
- ROC
Receiver operating characteristic
- RV
Right ventricle
- sAS
Severe aortic stenosis
- STE
Speckle-tracking echocardiography
- TAPSE
Tricuspid annular plane systolic excursion
- TTE
Transthoracic echocardiography
Authors’ contributions
PMA, conception and design, analysis and interpretation of data, manuscript writing. AVM, acquisition, analysis and interpretation of data. RT, RB conception and design, analysis and interpretation of data, revising the manuscript critically for important intellectual content. GC, RM attending physicians, analysis and interpretation of data, revising the manuscript critically for important intellectual content. LG interpretation of data, revising the manuscript critically for important intellectual content. All authors read and approved the final manuscript.
Funding
Not applicable.
Availability of data and materials
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
Ethics approval and consent to participate
Since it was an observational, retrospective analysis of a previously anonymized database, informed consent was not obtained from patients. The study was approved by the ethics committee of Coimbra Hospital and University Centre.
Consent for publication
Not applicable.
Competing interests
The authors declare that they have no competing interests.
Footnotes
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Graça Castro, Email: castro2406@gmail.com.
Rui Martins, Email: ruimatamartins@gmail.com.
Lino Gonçalves, Email: lgoncalv@ci.uc.pt.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.