Abstract
Introduction
Patients with primary mitral regurgitation (MR) usually remain asymptomatic for a long time due to compensatory mechanisms and an adequate treatment could be delayed. Stress echocardiography and speckle-tracking analysis could help to evaluate impaired left atrium (LA) function before the manifestation of clinically significant myocardial changes in asymptomatic patients with primary MR and preserved left ventricular (LV) ejection fraction (EF).
Methods
This study prospectively enrolled 91 patients with preserved LV EF (≥60%) at rest, of which 60 patients had moderate-to-severe MR and 31 were healthy controls. Rest and stress (bicycle ergometry) echocardiography and speckle-tracking offline analysis were performed.
Results
In MR group LA volume indices were higher at rest and during stress, while LA reservoir, conduit, and contractile fractions were decreased (p < .005). LA deformation parameters at rest were similar in both groups. During maximum stress LA conduit, contractile fractions and reservoir strain were lower (p < .05) in patients with MR. Indices of LA volume were related to SPAP at rest and during stress. Higher NT–proBNP concentrations was associated with higher LA volume indices, decreased contractile and reservoir functions during peak stress (p < .05). LA volume indices, LA EF, and filling index at rest could predict exercise-induced pulmonary hypertension (EIPH) (p < .05).
Conclusions
In patients with primary MR and preserved LV EF, LA parameters are related to SPAP and NT-pro-BNP concentration. LA volume indices, LA EF and LA filling index are predictors of EIPH.
Keywords: primary mitral regurgitation, left atrium, stress echocardiography, speckle-tracking echocardiography
Introduction
Mitral regurgitation (MR) is the second most prevalent valvular disorder requiring surgery worldwide. 1 Echocardiography is crucial for diagnosing MR, evaluating its mechanism, assessing the severity and potential complications of a disease, including left ventricle (LV) and left atrium (LA) dilation, LV dysfunction, and pulmonary hypertension (PH). 2
In the past decade, stress echocardiography has become more widely used for various indications, including asymptomatic primary MR.3,4 The main purpose of exercise echocardiography in these patients is to provoke symptoms, increase systolic pulmonary artery pressure (SPAP), detect LV dysfunction, and stratify the risk, 5 given that the presence of symptoms is usually a delayed indication for surgery.2,6 To enhance survival rates, assessing the need for surgery before irreversible myocardial changes occur is crucial. 7 According to current guidelines, elevated SPAP, dilated LA and development of atrial fibrillation have negative prognostic implications and indicate consideration for surgical demand.2,6,8
During the early phase of MR, the increased regurgitant volume is compensated by remodelling and enlarging the LA, which becomes the primary target for MR damage. 9 Previous studies proved that LA size is not only directly related to increased LV filling pressure and acts as a marker of the severity of LV diastolic dysfunction, 10 but also reflects the cumulative long-lasting effect of filling pressure while Doppler indices of diastolic function show filling pressure at exactly one point in time. 10 Another sensitive and reproducible method to evaluate LA mechanics is speckle-tracking echocardiography (STE) 11 : LA strain imaging can detect impaired LA function even before the manifestation of LA structural changes.9,12
The aim of this study was to evaluate LA size and function during the exercise stress and to find out a correlation between LA parameters and exercise-induced PH (EIPH), NT-proBNP values in patients with moderate to severe primary MR and preserved LV EF.
Methods
Study population
We prospectively studied 91 patients with preserved LV EF (≥60). 60 (65.9 %) adult patients with primary moderate to severe MR (MR group) were enrolled in the study and 31 (34.07 %) age-matched healthy patients were recruited as controls. The MR group was further subdivided based on EIPH (SPAP >60 mmHg during peak stress). One-third of the MR sample (n = 20; 33.33 %) had EIPH (PH subgroup). The study protocol was approved by the Kaunas Regional Biomedical Research Ethics Committee (Project ID: BE 2-54, approval date: June 26, 2018).
Patients were excluded from the study with at least one of the criteria: (1) contraindications or inability to perform bicycle ergometry; (2) clinically significant ischemic heart disease; (3) active oncological process; (4) asthma, chronic obstructive pulmonary disease or other known lung pathology; (5) uncontrolled arterial hypertension; (6) significant LV hypertrophy (thickness of interventricular septum or posterior LV wall >13 mm); (7) previous cardiac surgery; (8) greater than mild aortic valve disease (stenosis or regurgitation), more than mild mitral stenosis.
Transthoracic echocardiography
All study subjects underwent transthoracic two–dimensional echocardiography at rest and during exercise (bicycle ergometry). Echocardiography was performed by an experienced echocardiographer using a diagnostic ultrasound system (EPIQ 7, Phillips Ultrasound, Inc., Washington, USA). All measurements were completed by the same investigator in conformance with current guidelines. 13 At rest, during the initial (25 W load), maximum achieved load, and the recovery phase, conventional echocardiographic parameters, the volume and function of LA were assessed, together with the evaluation of the severity of MR, tricuspid regurgitation (TR), and SPAP.
The severity of MR was identified according to quantitative parameters – effective regurgitant orifice area (EROA) and regurgitant volume (RVol) - which were obtained according to existing recommendations.14,15 MR was assessed as moderate to severe with EROA 0.30–0.39 cm2 and RVol 45–59 mL. 15 SPAP was calculated using the Bernoulli equation (SPAP = 4 × (TR Vmax) 2 + 5 mmHg assigned to the right atrium (RA) pressure). 16 Pressure of RA was determined according to the collapsing of the inferior vena cava during respiratory phases. 13
LA volumes were measured using the area–length method in the apical four and two chambers’ views. In different phases of the cardiac cycle, the following volumes were measured: (1) maximal volume of LA (LA Volmax): just before the opening of MV at the end of the LV systole (ECG – at the end of the T wave); (2) minimal volume of LA (LA Volmin) – immediately after closure of MV, at the end of LV diastole; (3) LA volume just before atrial contraction (LA Volp) – just before p wave in ECG. All measurements were indexed by the body surface area (BSA), which was calculated using the Du Bois formula. From these volumes, the dynamic volumes and fractions, related to different phases of the LA function, were calculated: 17 Reservoir function of LA: LA total emptying volume = Volmax – Volmin; LA total emptying (reservoir) fraction = (Volmax- Volmin)/Volmax x 100 %; Conduit function of LA: LA passive emptying volume = Volmax – Volp; LA passive emptying (conduit) fraction = (Volmax – Volp)/Volmax x 100 %; Conduit volume = LV stroke volume – (LA Volmax – Volmin); Contractile function of LA: LA active emptying volume = Volp – Volmin; LA active emptying (contractile) fraction = (Volp – Volmin)/Volp x 100 %. The LA EF was calculated as the LA EF = LA active emptying volume/Volp. 17
Stress echocardiography
Exercise stress echocardiography was performed using a bicycle ergometer (Ergoline GmbH, Germany) according to the existing recommendations 3 in a semi-supine position starting with a 25 W workload and gradually increasing workload by 25 W every 3 min. 18
Speckle–tracking echocardiography
Myocardial deformation parameters were obtained by an off–line speckle–tracking analysis (using Philips QLAB 13.0 program). LV longitudinal strain (GLS) was evaluated from 4, 3 and 2 chambers apical views. Using an automatic “autoLA strain” analysis function, the deformation parameters of LA were obtained in four-chamber apical views.19,20 The global longitudinal strain of LA was divided into 3 phases: LA strain during the reservoir phase (LAS-r), positive value; LA strain during the conduit phase (LAS-cd), negative value; and LA strain during contractile phase (LAS-ct), negative value. The stiffness index of LA was calculated as E/e′ divided by LAS-r. 21 The ratio between early diastolic filling (E wave) and LAS-r was considered the LA filling index. 22 Extrasystolic cardiac cycles and segments with limited quality and/or poor tracking were excluded from the myocardial strain analysis.
Laboratory testing
In 35 patients of the MR group NT-proBNP test was performed by collecting venous blood samples a few minutes before the stress test. Blood samples were first centrifuged in the laboratory of the Laboratory Medicine Clinic of Kaunas University of Health Sciences Hospital, then stored in a freezer at −80°C. After collection, all samples were analysed using the “PATHFAST” analyser (Mitsubishi Chemical Mediene Corporation, Tokyo, Japan) using immunological chemiluminescence.
Statistical analysis
Statistical analysis was performed using IBM SPSS 27.0 software. Data distribution of the continuous variables was determined by the Shapir–Wilk test. Quantitative data were presented as mean and standard deviation (SD) if normally distributed, and if the distribution was abnormal or the sample size was small (<30) the median and interquartile area (first quartile – third quartile) were used. Qualitative data was presented by frequencies and frequencies in percentage (N (%)). Characteristics of the two groups were compared using Mann–Whitney U test or Student‘ t-test. The correlation between two related variables was calculated using Pearson‘s or Spearman‘s correlation coefficients (r). If p < .05, data was considered statistically significant. To prognose the occurrence of EIPH, receiver – operating characteristic (ROC) analysis was performed.
Results
91 asymptomatic subjects (64 (70.33 %) females and 27 (30.7 %) males; mean age 60.92 (10.89) years) with preserved LV EF were enrolled in this study. There were no differences in demographic, anthropometric indicators and clinical data between MR and control groups (Table 1). NT–proBNP concentration was 128 [75–266.50] pg/mL in patients with MR.
Table 1.
Demographic, anthropometric and clinical parameters in MR and control groups.
| MR group (n = 60) | Control group (n = 31) | p value | |
|---|---|---|---|
| Age, years (SD) | 61.45(11.99) | 59.9(8.66) | 0.526 |
| Sex, male, n (%) | 18(30.5) | 9(31.0) | 0.960 |
| Body surface area, m2 (SD) | 1.85(0.21) | 1.93(0.18) | 0.069 |
| Heart rate at rest, beats/min (SD) | 72.37(10.84) | 72.68(10.69) | 0.987 |
| Systolic arterial blood pressure at rest, mmHg (SD) | 137.45(19.78) | 137.16(20.36) | 0.844 |
| Diastolic arterial blood pressure at rest, mmHg (SD) | 82.0(2.10) | 82.19(10.78) | 0.826 |
| History of atrial fibrillation, n (%) | 16(26.67) | 3(9.68) | 0.059 |
| Arterial hypertension, n (%) | 45(75.0) | 22(70.97) | 0.679 |
| Diabetes mellitus, n (%) | 1(1.67) | 3(9.68) | 0.077 |
| Dyslipidaemia, n (%) | 33(55.0) | 21(67.74) | 0.241 |
| ACEi usage, n (%) | 26(43.33) | 15(48.39) | 0.646 |
| ARB usage, n (%) | 7(11.67) | 4(12.90) | 0.864 |
| BAB usage, n (%) | 45(75.0) | 20(64.52) | 0.294 |
| CaCB usage, n (%) | 6(10.0) | 6(19.4) | 0.211 |
| Diuretics usage, n (%) | 22(36.67) | 10(32.26) | 0.676 |
MR: mitral regurgitation, ACEi: angiotensin converting enzyme inhibitor; ARB: angiotensin receptor blocker; BAB: beta adrenoreceptor blocker; CaCB: calcium chanel blocker.
Values are expressed as number (%), mean (standart deviation).
LV GLS was lower in patients with MR, during all stages of stress, however, the difference was not significant (p > 0,5). LV GLS during peak stress correlated with NT–proBNP concentration (r = −0.446, p = .022).
At rest all LA volume indices were significantly higher in the MR group (Figure 1).
Figure 1.
Differences between LA volumes at rest in MR and control groups. MR: mitral regurgitation, LA: left atrium, Vmax: maximal volume, Vmin: minimal volume, Vp: volume just before atrial contraction.
At rest LA functional parameters were lower in patients with MR than in controls (reservoir fraction 48.33 % (10.59) versus 61.35 % (8.67), p < .001, respectively; conduit fraction 29.57 % (8.47) versus 35.22 % (9.25), p = .014, respectively; contractile fraction 26.38 % (13.26) versus 41.58 % (12.13), p < .001, respectively) and LA filling index was higher (2.86 (1,29) versus 2.22 (0,74), p = .030). However, LA deformation parameters were similar in both groups at rest (p > .05).
Parameters of LA at rest were related to SPAP in different phases of stress: LA reservoir and conduit volume indices at rest correlated with resting SPAP (r = 0.329, p = .028 and r = 0.357, p = .016, respectively), while resting LA reservoir and contractile fractions correlated with SPAP during peak stress (r = −0.442, p = .002 and r = −0.361, p = .012, respectively).
During peak stress LA conduit, contractile fractions and reservoir strain were lower in patients with MR than in controls (Figure 2).
Figure 2.
LA parameters in MR and control groups during different phases of the stress. MR: mitral regurgitation, LA: left atrium, LAS-r: strain during the reservoir phase.
The correlations between SPAP at peak stress and LA filling index during initial stress (r = 0.348, p = .021) and during peak stress (r = 0.304, p = .038) were obtained.
The correlations between LV GLS at rest and indexed LA Volmax (r = 0.287, p = .019), LA Volmin (r = 0.331, p = .007), LA Volp (r = 0.325, p = .008) and LA reservoir fraction (r = 0.285, p = .020) during the phase of maximal achieved stress were obtained.
Higher LA volume indices during all stages of stress, lower LA contractile and reservoir functions during peak stress were related to higher NT–proBNP concentration (Table 2).
Table 2.
Correlation of LA parameters with NT-proBNP.
| LA parameter | At rest | During initial (25 W) stress | During peak stress | During recovery |
|---|---|---|---|---|
| LA Volmax | r = 0.441 | r = 0.518 | r = 0.476 | r = 0.421 |
| p = .019 | p = .007 | p = .010 | p = .029 | |
| LA Volmin | r = 0.527 | r = 0.630 | r = 0.536 | r = 0.511 |
| p = .004 | p = .001 | p = .003 | p = .006 | |
| LA Volp | r = 0.406 | r = 0.694 | r = 0.454 | r = 0.494 |
| p = .032 | p < .001 | p = .015 | p = .009 | |
| LAreservoir fraction | r = −0.118 | r = –0.403 | r = –0.444 | r = −0.374 |
| p = .359 | p = .041 | p = .018 | p = .055 | |
| LA conduit fraction | r = −0.198 | r = −0.127 | r = −0.033 | r = −0.174 |
| p = .313 | p = .307 | p = .866 | p = .386 | |
| LA contractile fraction | r = −0.357 | r = −0.327 | r = –0.436 | r = −0.327 |
| p = .062 | p = .103 | p = .020 | p = .096 |
Bold values are statistically significant. LA: left atrium; Volmax: maximal volume; Volmin: minimal volume; Volp: volume just before atrial contraction.
One-third (n = 20 (33.33 %)) of the MR group developed EIPH. Their age, gender, HR, or resting systolic and diastolic BP did not differ from patients without EIPH (p > .05). There were higher LA Volmax (48.81 [36.85–65.29] mL/m2 vs 36.59 [30.75–45.62] mL/m2, p = .013 at rest and 57.84 [45.23–68.70] mL/m2 vs 45.79 [38.82–52.47] mL/m2, p = .017 during peak stress), Volmin (24.97 [20.53–44.23] mL/m2 vs 17.66 [14.22–23.49] mL/m2, p = .002 at rest and 33.53 [22.00–45.55] mL/m2 vs 20.86 [16.22–26.05] mL/m2, p = .003 during peak stress), Volp (34.16 [24.83–49.23] mL/m2 vs 26.11 [21.64–32.09] mL/m2, p = .026 at rest and 42.49 [31.17–53.06] mL/m2 vs 31.14 [24.41–37.26] mL/m2, p = .013 during peak stress) in PH subgroup. Furthermore, patients with EIPH had lower LAS-r during peak stress (15.8 [10.20–22.80] % vs 25.4 [16.3–29.55] %; p = .008).
According to ROC analysis, the LA volume indices, LA EF, and filling index at rest could be informative predictors of EIPH (Table 3).
Table 3.
ROC analysis of resting LA parameters for predicting EIPH in MR group.
| Parameters at rest | Cut-off value | AUC [95 % CI] | Sensitivity,% | Specificity, % | EIPH-/+ | p value | Or [95% PI] |
|---|---|---|---|---|---|---|---|
| LA Volmax, mL/m2 | >40.59 | 0.712[0.562–0.963 | 72.2 | 60.6 | 13 (39.39 %)/13 (72.22 %) | 0.025 | 4.00[1.151–13.89] |
| LA Volmin, mL/m2 | >19.1 | 0.759[0.624–0.898 | 83.3 | 63.6 | 13 (39.39 %)/15 (83.33 %) | 0.003 | 7.692[1.854–31.911] |
| LA Volp, mL/m2 | >28.37 | 0.690[0.526–0.854] | 72.2 | 66.7 | 11 (33.33 %)/13 (72.22 %) | 0.008 | 5.200[1.475–18.332] |
| LA EF, % | <20.87 | 0.694[0.541–0.846] | 72.2 | 72.7 | 9 (27.27 %)/11 (64.71 %) | 0.010 | 4.889[1.393–17.159] |
| LA filling index | >0.29 | 0.712[0.569-0.855] | 78.9 | 58.8 | 14 (41.18 %)/15 (78.95 %) | 0,008 | 5.357[1.464–19.603] |
Bold values are statistically significant. LA: left atrium; MR: mitral regurgitation; EIPH: exercise indused pulmonary hypertension; AUC: area under the curve; CI: confidence interval; OR: odds ratio; Volmax: maximal volume; Volmin: minimal volume; Volp: volume just before atrial contraction; EF: ejection fraction.
Discussion
In this study we assessed parameters of LA at rest and during exercise stress in patients with asymptomatic moderate-to-severe MR and preserved LV EF. Significant correlations between LA parameters and LV GLS, NT-proBNP concentration and SPAP were obtained. Moreover, LA parameters were found to be significant predictors of EIPH.
Consistent with Alexander N. Borg and co-authors, 17 we observed higher LA volume indices across all cardiac cycle phases in the MR group at rest and during stress. Prior research has linked LA dilation to heightened LV pressure, 23 more severe diastolic dysfunction, 24 increased incidence of atrial fibrillation, and worse prognosis in the general population.10,25,26 Some authors have suggested that LA volume index ≥40 mL/m2 may serve as predictive factor for surgery indications. 8 Furthermore, we noticed reduced LA conduit, reservoir, and contractile fractions in patients with primary MR. Initially, LA enlargement occurs in response to early-stage MR to enhance contractile capacity, 17 but lately, chronic MR induces inflammatory changes and interstitial fibrosis, 27 resulting in functional impairment and heart tissue no longer provoking a Frank-Starling response. 28 Nonetheless, strains between various LA phases in the MR group did not diminish, suggesting still underdeveloped myocardial fibrosis. This is further supported by our finding that the calculated LA stiffness index did not significantly differ between MR and control groups during all phases of stress. Giulia Elena Mandoli et al. demonstrated the correlation of histologically confirmed LA fibrosis with LA longitudinal strain in primary MR patients, (245), and non-invasive indices of LA fibrosis have also shown a significant correlation with the LA stiffness index. 29
We demonstrated correlations between NT-proBNP concentrations and LA volume indices for different phases of the cardiac cycle during all stages of stress. These results are consistent with the findings of prior research indicating an association between LA volume index and NT-proBNP concentrations, even in the presence of normal LV EF.30,31 This can be explained by the fact that larger LA volumes lead to more wall stretching and heightened synthesis of natriuretic peptides. This only proves the importance of LA volume indices in the assessment of early myocardial damage. Additionally, Thierry Le Tourneau et al. found that resting SPAP was most strongly associated with LA volume (p = .003), deceleration time (p < .0001), and E/e′ ratio (p < .0001), 32 while Andrea Barbieri et al. demonstrated that resting SPAP was dependent on LA size (p < .0001). 33 Similarly, we obtained a significant correlation of all cardiac cycle phase LA volumes (LA Volmax, Volmin, Volp) and resting SPAP (p < .001). In chronic MR, the LA is overloaded with increasingly larger volumes, resulting in dilation. This LA overload can elevate pulmonary circulation pressure and lead to PH development. EIPH was not included among the indications for surgery recommended by the European Society of Cardiology, due to a lack of sufficient evidence linking it to worse postoperative outcomes, 14 but our study revealed that one-third of primary MR patients developed EIPH, which can be accurately predicted by other indicators of poor prognosis such as increased resting LV volumes, stiffness indices, and LV EF. To identify pre-clinical indicators of myocardial damage that could signal the need for surgery, leading to better outcomes, further studies are needed to evaluate the long-term outcomes and prognostic value of these findings.
Limitations
The main limitations of the study, which may have contributed to the inaccuracies of the study, were the small sample size and unequal groups, the assessment of PH by echocardiography rather than invasive right heart catheterisation. Finally, due to the limited duration of the study, our work did not assess the patients’ outcomes and the predictors of these outcomes on resting and exercise echocardiography.
Conclusions
In patients with primary moderate to severe MR and preserved LV EF the most informative parameters of subclinical myocardial damage were higher LA volume indices, decreased LA EF and conduit fraction at rest and during stress. LA contractile and reservoir function during peak stress as well as LA volume indices during all phases of the stress had significant correlations with NT-proBNP. LA volume indices, EF, and filling index are related with EIPH in patients with primary MR.
Footnotes
Declaration of conflicting interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding: The author(s) received no financial support for the research, authorship, and/or publication of this article.
ORCID iD
Ruta Dirsiene https://orcid.org/0000-0002-3408-2265
References
- 1.Apostolidou E, Maslow AD, Poppas A. Primary mitral valve regurgitation: update and review. Glob Cardiol Sci Pract 2017; 2017(1): e201703. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Vahanian A, Beyersdorf F, Praz F, et al. 2021 ESC/EACTS Guidelines for the management of valvular heart disease. Eur Heart J 2022; 43: 561–632. [DOI] [PubMed] [Google Scholar]
- 3.Lancellotti P, Pellikka PA, Budts W, et al. The clinical use of stress echocardiography in non-ischaemic heart disease: recommendations from the European Association of Cardiovascular Imaging and the American Society of Echocardiography. Eur Heart J Cardiovasc Imaging 2016; 17: 1191–1229. [DOI] [PubMed] [Google Scholar]
- 4.Gentry IIIJL, Phelan D, Desai MY, et al. The role of stress echocardiography in valvular heart disease: a current appraisal. Cardiology 2017; 137: 137–150. [DOI] [PubMed] [Google Scholar]
- 5.Garbi M, Chambers J, Vannan MA, et al. Valve stress echocardiography: a practical guide for referral, procedure, reporting, and clinical implementation of results from the havecHAVEC group. JACC Cardiovasc Imaging 2015; 8: 724–736. [DOI] [PubMed] [Google Scholar]
- 6.Otto CM, Nishimura RA, Bonow RO, 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. [DOI] [PubMed] [Google Scholar]
- 7.Bonow RO. Left atrial function in mitral regurgitation: guilt by association. JACC Cardiovasc Imaging 2014; 7: 233–235. [DOI] [PubMed] [Google Scholar]
- 8.Messika-Zeitoun D, Bellamy M, Avierinos J-F, et al. Left atrial remodelling in mitral regurgitation--methodologic approach, physiological determinants, and outcome implications: a prospective quantitative Doppler-echocardiographic and electron beam-computed tomographic study. Eur Heart J 2007; 28: 1773–1781. [DOI] [PubMed] [Google Scholar]
- 9.Cameli M, Incampo E, Mondillo S. Left atrial deformation: useful index for early detection of cardiac damage in chronic mitral regurgitation. IJC Heart & Vasculature 2017; 17: 17–22. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Bangalore S, Yao S-S, Chaudhry FA. Role of left atrial size in risk stratification and prognosis of patients undergoing stress echocardiography. J Am Coll Cardiol 2007; 50: 1254–1262. [DOI] [PubMed] [Google Scholar]
- 11.Sugimoto T, Bandera F, Generati G, et al. Left atrial function dynamics during exercise in heart failure: pathophysiological implications on the right heart and exercise ventilation inefficiency. JACC Cardiovasc Imaging 2017; 10: 1253–1264. [DOI] [PubMed] [Google Scholar]
- 12.Nes BM, Janszky I, Wisløff U, et al. Age-predicted maximal heart rate in healthy subjects: the HUNT Fitness Study. Scand J Med Sci Sports 2013; 23: 697–704. [DOI] [PubMed] [Google Scholar]
- 13.Lang RM, Badano LP, Mor-Avi V, et al. Recommendations for cardiac chamber quantification by echocardiography in adults: an update from the American society of echocardiography and the European association of cardiovascular imaging. Journal of the American Society of Echocardiography 2015; 28: 1–39.e14. [DOI] [PubMed] [Google Scholar]
- 14.Thavendiranathan P, Phelan D, Collier P, et al. Quantitative assessment of mitral regurgitation: how best to do it. JACC Cardiovasc Imaging 2012; 5: 1161–1175. [DOI] [PubMed] [Google Scholar]
- 15.Lancellotti P, Tribouilloy C, Hagendorff A, et al. Recommendations for the echocardiographic assessment of native valvular regurgitation: an executive summary from the European Association of Cardiovascular Imaging. Eur Heart J Cardiovasc Imaging 2013; 14: 611–644. [DOI] [PubMed] [Google Scholar]
- 16.Pyxaras SA, Pinamonti B, Barbati G, et al. Echocardiographic evaluation of systolic and mean pulmonary artery pressure in the follow-up of patients with pulmonary hypertension. Eur J Echocardiogr 2011; 12: 696–701. [DOI] [PubMed] [Google Scholar]
- 17.Borg AN, Pearce KA, Williams SG, et al. Left atrial function and deformation in chronic primary mitral regurgitation. Eur J Echocardiogr 2009; 10: 833–840. [DOI] [PubMed] [Google Scholar]
- 18.Noonan V, Dean E. Submaximal exercise testing: clinical application and interpretation. Phys Ther 2000; 80: 782–807. [PubMed] [Google Scholar]
- 19.Badano LP, Kolias TJ, Muraru D, et al. Standardization of left atrial, right ventricular, and right atrial deformation imaging using two-dimensional speckle tracking echocardiography: a consensus document of the EACVI/ASE/Industry Task Force to standardize deformation imaging. Eur Heart J Cardiovasc Imaging 2018; 19: 591–600. [DOI] [PubMed] [Google Scholar]
- 20.Pathan F, D’Elia N, Nolan MT, et al. Normal ranges of left atrial strain by speckle-tracking echocardiography: a systematic review and meta-analysis. Journal of the American Society of Echocardiography 2017; 30: 59.e8–70.e8. [DOI] [PubMed] [Google Scholar]
- 21.Saijo Y, van Iterson E, Vega Brizneda M, et al. Impact of left atrial strain mechanics on exercise intolerance and need for septal reduction therapy in hypertrophic cardiomyopathy. Eur Heart J Cardiovasc Imaging 2022; 23: 238–245. [DOI] [PubMed] [Google Scholar]
- 22.Braunauer K, Düngen H-D, Belyavskiy E, et al. Potential usefulness and clinical relevance of a novel left atrial filling index to estimate left ventricular filling pressures in patients with preserved left ventricular ejection fraction. Eur Heart J Cardiovasc Imaging 2020; 21: 260–269. [DOI] [PubMed] [Google Scholar]
- 23.Appleton CP, Galloway JM, Gonzalez MS, et al. Estimation of left ventricular filling pressures using two-dimensional and Doppler echocardiography in adult patients with cardiac disease. Additional value of analyzing left atrial size, left atrial ejection fraction and the difference in duration of pulmonary venous and mitral flow velocity at atrial contraction. J Am Coll Cardiol 1993; 22: 1972–1982. [DOI] [PubMed] [Google Scholar]
- 24.Pritchett AM, Mahoney DW, Jacobsen SJ, et al. Diastolic dysfunction and left atrial volume: a population-based study. J Am Coll Cardiol 2005; 45: 87–92. [DOI] [PubMed] [Google Scholar]
- 25.El ALMM, Meyerfreud D, Magalhães P, et al. Relationship between left atrial volume and diastolic dysfunction in 500 Brazilian patients. Arq Bras Cardiol 2013; 101: 52–58. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Vaziri SM, Larson MG, Benjamin EJ, et al. Echocardiographic predictors of nonrheumatic atrial fibrillation. The Framingham Heart Study. Circulation 1994; 89: 724–730. [DOI] [PubMed] [Google Scholar]
- 27.Anné W, Willems R, Roskams T, et al. Matrix metalloproteinases and atrial remodeling in patients with mitral valve disease and atrial fibrillation. Cardiovasc Res 2005; 67: 655–666. [DOI] [PubMed] [Google Scholar]
- 28.Sasayama S, Takahashi M, Osakada G, et al. Dynamic geometry of the left atrium and left ventricle in acute mitral regurgitation. Circulation 1979; 60: 177–186. [DOI] [PubMed] [Google Scholar]
- 29.Pilichowska-Paszkiet E, Baran J, Sygitowicz G, et al. Noninvasive assessment of left atrial fibrosis. Correlation between echocardiography, biomarkers, and electroanatomical mapping. Echocardiography 2018; 35: 1326–1334. [DOI] [PubMed] [Google Scholar]
- 30.Kim H, Jun D-W, Cho Y-K, et al. The correlation of left atrial volume index to the level of N-terminal pro-BNP in heart failure with a preserved ejection fraction. Echocardiography 2008; 25: 961–967. [DOI] [PubMed] [Google Scholar]
- 31.Yamazaki M, Ogawa T, Tamei N, et al. Relation of N-terminal pro-B-type natriuretic peptide (NT-proBNP) and left atrial volume index to left ventricular function in chronic hemodialysis patients. Heart Ves 2011; 26: 421–427. [DOI] [PubMed] [Google Scholar]
- 32.Le Tourneau T, Richardson M, Juthier F, et al. Echocardiography predictors and prognostic value of pulmonary artery systolic pressure in chronic organic mitral regurgitation. Heart 2010; 96: 1311–1317. [DOI] [PubMed] [Google Scholar]
- 33.Barbieri A, Bursi F, Grigioni F, et al. Prognostic and therapeutic implications of pulmonary hypertension complicating degenerative mitral regurgitation due to flail leaflet: a multicenter long-term international study. Eur Heart J 2011; 32: 751–759. [DOI] [PubMed] [Google Scholar]


