DOI: https://doi.org/10.21203/rs.3.rs-990265/v1
Background: Left atrial (LA) size is often used as a surrogate marker of LA function in clinical practice, with larger atria thought to represent a “dysfunctioning” atrium, since there is no accepted ‘gold’ standard to evaluate LA function. The exact relationship between LA size and phasic function, and whether LA dysfunction occur before LA enlargement (LAE) may be of clinical interest while have not been fully studied. Two-dimensional speckle-tracking echocardiography (2D STE) was showed a promising method in measuring LA physic deformation.
Materials and methods: A community cohort of 715 subjects at cardiovascular disease high risk accepted comprehensive echocardiography. LA longitudinal phasic strain Sa (absolute peak strain during atrial contraction), Se (peak strain at early diastole) and Stot (total atrial strain =Sa+Se), representing contractile, conduit, and reservoir function respectively, were measured using off-line 2D STE software in apical 4 chamber view, and data were compared among groups at different LA size and between sub-groups in normal LA size with and without hypertension (HT).
Results: With LAE (from normal size, mild, moderate to severe LAE), the Stot(21.74±5.97,20.75±4.99,20.49±5.27,17.75±4.71, respectively, ANOVA p=0.003) and Sa (11.84±3.92,11.00±3.29,10.11±2.57,8.55±2.88, respectively, ANOVA p<0.001) reduced while Se had no change. In normal sized LA subgroups, Stot (21.35±5.91 vs 23.01±6.02, p=0.008) and Se (9.51±4.41 vs 11.17±4.89, p<0.001) reduced in subjects with HT comparing with those without.
Conclusion: LA phasic function remodeling occurs before LAE and continues with LAE, with reservoir, conduit and contractile function being affected unparalleled.
The left atrium (LA) plays an integral role in cardiac performance by modulating left ventricular (LV) filling with its reservoir, conduit, and contractile functions[1]. In clinical practice, LA size, an essential component of echocardiographic parameters, is easily available and widely used as a surrogate marker of its function and regarded as a powerful predictor for adverse clinical outcomes of cardiovascular diseases (CVD)[2–8]. However, the application of a simple geometric model to a nonsymmetrical chamber in echocardiography to assess LA enlargement (LAE) is actually indirect and limited.
Recently, more and more attention are paid to LA function. Abundant evidences seemed to indicate that LA functional parameters might be surrogate markers of unfavourable cardiovascular outcomes as well[9–13]. Atrial strain, as an adjunctive measurement of LA function, is an emerging parameter of interest and has been shown to be less load dependent than traditional parameters[14–16]. However, much less data are available regarding direct relationship between LA size and its phasic function for there is currently no recognized ‘gold’ standard method in LA function assessment[15].
Therefore, we assessed LA phasic strain with two-dimensional speckle-tracking echocardiography (2D STE) in a high CVD risk community population to explore the relationship between LA phasic function and LA size to answer two questions: (1) Does the larger LA size means worse function? And how do the phasic components change during the period of LAE? (2) Is normal LA size equal to normal function?
A community cohort[17] screened for CVD and risk factors in urban Beijing was set up in 2005 and 1058 subjects were included. In 2009, subjects were followed up by screening detailed medical history of known CVD, cardiovascular risk factors, and medication history. Height, weight, heart rate and blood pressure were recorded, and routine blood tests were performed.
770 subjects with high risk of CVD accepted comprehensive echocardiography examination. Subjects were defined as high risk of CVD if they had cardiovascular events including myocardial infarction, stroke and peripheral arterial disease, or had at least 2 risk factors including age ≥ 50 years, smoking (current smoker), obesity (BMI≥28), HT, diabetes mellitus (DM) and hyperlipoidemia (total cholesterol > 5.20mmol/L). The 2009 cross-sectional data of 770 subjects were used in this study. All participants provided written informed consent, and the study protocol was approved by the ethics committee of both Peking University and Peking University First Hospital. The study was conducted in accordance with the Declaration of Helsinki.
Comprehensive transthoracic echocardiography was performed on a Vivid 7 ultrasound machine (Vingmed-General Electric, Horten, Norway), using a 1.5–4 MHz phased array transducer. Echocardiographs (with 2D image frame rate over 50 frames/second) with 3 consecutive beats were digitally recorded and analyzed using a customized off-line analyzing software package (Echo PAC, version 110, Vingmed-General Electric). All images and measurements were acquired from the standard views according to the guidelines of the American Society of Echocardiography[18-20].
LA volume was measured using the biplane method of discs at end systole (just before mitral valve opening). The maximum LA volume was indexed by dividing the body surface area(BSA) to acquire the LA volume index (LAVI)[21]. Pulmonary artery systolic pressure (PASP) was determined through the tricuspid regurgitation velocity gradient and inferior vena cava size and reactivity. LV ejection fraction (LVEF) (determined by linear Teichholz method) and global longitudinal strain (LVSlong, averaged strain measured in apical longitudinal, 4-chamber and 2-chamber view by 2D STE) were used as LV systolic parameters. LV diastolic parameter measurements included the ratio of mitral inflow early (E) and late (A) diastolic velocity (E/A), septal mitral annular early (E’) and late (A’) diastolic velocity, and E/E’.
Global LA strain were analyzed in apical 4-chamber view 2D image using commercialized software. 2D image of a representative cardiac cycle was selected, and the LA endocardial surface was manually traced by a point-and-click approach. An epicardial surface tracing was automatically generated by the system, creating a region of interest (ROI), which was manually adjusted to cover the full thickness of the LA wall. The software divided the ROI into 6 segments and generated segmental as well as global longitudinal LA strain curves. The onset of the P wave of the superimposed ECG was used as the reference point, which enabled the recognition of absolute peak strain during atrial contraction (Sa), peak strain at early diastole (Se) and total atrial strain (Stot=Sa+Se) in strain curve (Fig. 1). Sa was corresponding to LA contractile, Stot to reservoir and Se to conduit function, respectively[22-24].
15 randomly selected cases were re-measured by the same observer blinded to previous measurements with 1 week interval, and by a second observer blinded to the first one’s results to assess intra- and inter- observer variability.
Data were analyzed with the use of the statistical packages R (The R foundation; http://www.r-project.org; version 3.4.3) and Empower (R) (www.empowerstates.com, X&Y solutions, inc. Boston, Massachusetts). Continuous variables were presented as mean±standard deviation (SD) and categorical variables as percentage rate (%). One-way ANOVA was used to compare continuous variables among groups. Student t test was used in comparison between 2 groups. A Chi-square test was used to compare categorical values between groups. Univariate correlation followed multiple linear regression analyses were performed to examine the association of select clinical variables and echocardiographic findings with LA phasic strain indexes. P-value less than 0.05 were considered statistically significant.
A total of 770 subjects at cardiovascular high risk in the community underwent comprehensive transthoracic echocardiogram. 55 were excluded the current study including 22 with poor image quality (unable to obtain adequate tracking quality in more than two LA segments during offline strain analysis), 14 in atrial fibrillation, and 19 with moderate or more mitral regurgitation. Among the 4314 segments analyzed in the remaining 715 subjects, the software was able to correctly track 4055 (94%) segments.
In this cross-sectional study, the average age was 66.56±8.86 years and 354 (49.51%) of the subjects were male. The existed CVD and risk factors included coronary heart disease (9.09%), stroke (20.98%), peripheral vascular disease (8.67%), HT (80.28%), DM (30.21%), smoke (33.71%), obesity (20.42%) and dyslipidemia (49.51%). According to the abnormality thresholds and severity cutoffs of LAVI in ASE/EACVI recommendation in 2015[19], subjects were grouped into normal LA size (LAVI 16-34ml/m2), mild LA enlargement (LAVI 35-41 ml/m2), moderate LA enlargement (LAVI 42-48 ml/m2) and sever LA enlargement (LAVI >48 ml/m2) group. Table 1 and Table 2 present demographic and conventional echocardiographic characteristics of the four study groups. Among-group differences were found in age, heart rate, the prevalence of HT (most prevalent in mild LAE group), LVMI, LVEDD, diastolic indexes (E, E/A, E/E’, A’) and PASP. There were no differences in other risk factors and medication among groups.
Variable |
Normal LA size (16-34ml/m2,n=507) |
Mild LAE (35-41 ml/m2, n=134) |
Moderate LAE (42-48 ml/m2, n=51) |
Sever LAE (>48ml/m2, n=23) |
P |
---|---|---|---|---|---|
Age (years) |
65.96±9.11 |
67.75±8.39 |
67.55±7.16 |
70.65±7.90 |
0.016 |
Gender, male |
47.73% |
48.51% |
62.75% |
65.22% |
0.088 |
BSA(m2) |
1.84±0.16 |
1.82±0.16 |
1.87±0.18 |
1.85±0.14 |
0.357 |
BMI(kg/ m2) |
25.56±3.29 |
25.50±3.27 |
25.57±3.72 |
25.32±3.12 |
0.986 |
SBP(mmHg) |
171.41±19.06 |
177.13±18.50 |
172.13±21.24 |
184.74±18.37 |
<0.001 |
DBP(mmHg) |
98.83±17.31 |
97.72±17.39 |
97.11±22.04 |
100.79±18.05 |
0.010 |
HR(beats/min) |
71.07±10.94 |
66.46±10.58 |
65.67±8.93 |
62.13±8.74 |
<0.001 |
CHD |
7.50% |
12.69% |
13.73% |
13.40% |
0.144 |
Stroke |
20.71% |
17.91% |
25.49% |
34.78% |
0.256 |
Peripheral vascular disease |
8.09% |
8.96% |
11.76% |
13.04% |
0.705 |
HT |
76.73% |
90.30% |
88.24% |
82.61% |
0.002 |
Diabetes mellitus |
31.95% |
25.37% |
31.37% |
17.39% |
0.257 |
Smoking |
33.53% |
28.36% |
43.14% |
47.83% |
0.122 |
Obesity |
20.32% |
20.90% |
21.57% |
17.39% |
0.979 |
Dyslipidemia |
49.11% |
52.24% |
52.94% |
34.78% |
0.446 |
Aspirin |
51.48% |
50.00% |
35.29% |
47.83% |
0.179 |
ACEI |
7.30% |
5.97% |
7.84% |
4.35% |
0.898 |
ARB |
3.36% |
4.48% |
5.88% |
13.04% |
0.117 |
Calcium antagonists |
39.25% |
44.78% |
33.33% |
43.48% |
0.484 |
βblockers |
6.71% |
9.02% |
9.80% |
17.39% |
0.223 |
Statins |
0.99% |
0.00% |
3.92% |
4.55% |
0.056 |
Diuretics |
3.35% |
0.75% |
5.88% |
4.35% |
0.257 |
BSA Body surface area, BMI Body mass index, SBP Systolic blood pressure, DBP Diastolic blood pressure, HR Heart rate, CHD Coronary heart disease, HT Hypertension, ACEI Angiotensin-Converting Enzyme Inhibitor, ARB Angiotensin receptor blocker | |||||
Data are expressed as mean ± SD or as percentage |
Variable |
Normal LA size (16-34ml/m2,n=507) |
Mild LAE (35-41 ml/m2, n=134) |
Moderate LAE (42-48 ml/m2, n=51) |
Sever LAE (>48ml/m2, n=23) |
P |
---|---|---|---|---|---|
LVEDD (cm) |
4.59±0.49 |
4.77±0.49 |
4.88±0.59 |
5.03±0.73 |
<0.001 |
LVEF (%) |
70.12±10.08 |
68.85±10.20 |
70.63±13.15 |
71.00±14.92 |
0.566 |
LVSlong (%) |
18.38±3.13 |
18.63±3.34 |
18.45±4.63 |
17.37±4.69 |
0.586 |
LVMI (g/m2) |
83.34±20.06 |
93.95±23.82 |
94.36±29.29 |
122.47±38.41 |
<0.001 |
E-wave (cm/s) |
76.05±18.72 |
80.57±20.60 |
83.43±20.29 |
91.13±31.30 |
<0.001 |
A-wave (cm/s) |
94.29±19.21 |
97.85±29.33 |
91.84±17.64 |
99.73±20.38 |
0.167 |
E/A retio |
0.83±0.24 |
0.87±0.31 |
0.93±0.27 |
0.88±0.20 |
0.033 |
E’ (cm/s) |
6.08±1.89 |
5.86±1.73 |
5.98±1.69 |
5.00±1.02 |
0.040 |
A’ (cm/s) |
10.43±1.85 |
9.75±1.85 |
9.58±2.15 |
8.81±1.94 |
<0.001 |
E/e’ |
13.30±4.10 |
14.72±5.18 |
14.89±5.57 |
18.74±6.36 |
<0.001 |
PASP (mmHg) |
28.71±6.33 |
31.08±6.95 |
32.89±9.02 |
33.25±6.67 |
<0.001 |
LVEDD Left ventricular end-diastolic dimension, LVEF Left ventricular ejection fraction, LVSlong left ventricle global longitudinal strain, LVMI Left ventricular mass index, PASP Pulmonary artery systolic pressure | |||||
Data are expressed as mean ± SD |
The comparison of LA strain among the study groups is shown in Table 3. Reservoir (Stot) indexes are different among groups (P =0.003) with the trend of the larger LA size the lower strain values. While contractile (Sa) indexes are maintained in mild and moderate LAE comparing with normal LA size group, but decreased in severe LAE group (P<0.001). The conduit (Se) indexes are similar among different LA size groups.
Variable |
Normal LA size (16-34ml/m2,n=507) |
Mild LAE (35-41 ml/m2, n=134) |
Moderate LAE (42-48 ml/m2, n=51) |
Sever LAE (>48ml/m2, n=23) |
P |
---|---|---|---|---|---|
Stot |
21.74±5.97 |
20.75±4.99 |
20.49±5.27 |
17.75±4.71 |
0.003 |
Se |
9.90±4.58 |
9.74±3.81 |
10.38±4.25 |
9.20±3.06 |
0.719 |
Sa |
11.84±3.92 |
11.00±3.29 |
10.11±2.57 |
8.55±2.88 |
<0.001 |
Data are expressed as mean ± SD or as percentage |
Within normal LA size group, subjects were further divided into HT and non-HT subgroups. The HT group had higher prevalence of stroke (23.91% vs. 10.17%, p<0.001) and obesity (23.65% vs. 9.32%, p<0.001) comparing with non-HT group. Differences between HT and non-HT group were also found in age (66.56±8.82 vs. 64.00±9.78years, p=0.007), body mass index (25.91±3.30 vs. 24.44±3.00 kg/ m2, p<0.001), LVMI (84.94±20.10 vs. 78.11±19.10 g/m2, p=0.001), A velocity(96.85±18.35 vs. 85.81±19.65 cm/s, p<0.001), E’ (5.76±1.63 vs. 7.12±2.29 cm/s, p<0.001), E/A (0.80±0.21 vs. 0.94±0.31, p<0.001) and E/e’ (13.80±4.10 vs. 11.67±3.67, p<0.001). There were no differences in other clinical and echocardiographic parameters. The comparison of clinical data and LA strain is shown in Table 4. Reservior (Stot) and conduit (Se) indexes are worse in HT than non-HT subgroup, while contractile (Sa) index has no difference.
Variable |
Non-HT (n=141) |
HT (n=574) |
P |
---|---|---|---|
Age (year) |
64.00±9.78 |
66.56±8.82 |
0.007 |
Male (%) |
50.85% |
46.79% |
0.439 |
LAVI |
25.15±4.55 |
27.14 ±4.60 |
<0.001 |
Stot |
23.01±6.02 |
21.35±5.91 |
0.008 |
Se |
11.17±4.89 |
9.51±4.41 |
<0.001 |
Sa |
11.84±3.83 |
11.84±3.95 |
0.993 |
HT Hypertension, LAVI Left atrial volume index | |||
Data are expressed as mean ± SD or as percentage |
Univariate correlations of LA strain includes demographic parameters (age, gender, body mass index, body surface area, heart rate, SBP and DBP), CVD (myocardial infarction, stroke, peripheral arterial disease), risk factors (HT, HT duration, grade of HT DM, smoke, obesity and hyperlipidemia) and echocardiographic variables (LAVI, LVEDD, LVMI, LVEF and LVSlong, E/A, E/e’, E’, A’ and PASP). Stepwise multiple regression analysis showed that the independent determinants were: for Stot — age, DM, smoking, dyslipidemia, LVSlong and A’ ; for Se — HR, dyslipidemia, LVSlong and E’ ; and for Sa — age, gender, smoking,LAVI༌LVSlong༌E/A༌E’ and A’. (Table 5).
Variables |
||||||
---|---|---|---|---|---|---|
Stot |
Se |
Sa |
||||
β |
p |
β |
p |
β |
p |
|
Age |
-0.079 |
0.016 |
-0.053 |
0.011 |
||
Male |
-0.945 |
0.018 |
||||
HR |
-0.045 |
0.023 |
||||
DM |
1.419 |
0.010 |
||||
Smoking |
-1.448 |
0.021 |
-1.212 |
0.003 |
||
Dyslipidemia |
-1.190 |
0.012 |
-0.867 |
0.023 |
||
LAVI |
-0.045 |
0.034 |
||||
LVSlong |
0.423 |
<0.001 |
0.232 |
<0.001 |
0.192 |
<0.001 |
E/A |
-1.757 |
0.015 |
||||
E’ |
0.553 |
<0.001 |
-0.589 |
<0.001 |
||
A’ |
0.470 |
<0.001 |
0.416 |
<0.001 |
||
Adjusted R2 |
0.194 |
0.186 |
0.207 |
|||
HR Heart rate, DM Diabetes mellitus, LVSlong Left ventricle global longitudinal strain |
The intra-observer intraclass correlation coefficient (ICC) and absolute difference for 2D STE measurements were Stot 0.97(1.62±1.45%), Se 0.98(1.43±0.76%) and Sa 0.92(1.17±0.99 %). And inter observer ICC and absolute difference were Stot 0.93 (2.07±1.73%), Se 0.89 (2.50±2.35%) and Sa 0.88 (1.76±1.23%), respectively.
This cross-sectional study is aimed at exploring the relationship between LA phasic function (phasic strain measured by 2D STE) and LA size in a high cardiovascular risk community population, which is of clinical value for understanding LA performance and pathophysiology. In sum, evidences showed that LA reservoir index (Stot) deteriorates with LA enlargement, contractile index (Sa) maintains in mild/moderate LAE and damaged in sever LAE, conduit index (Se) roughly unchanged during LAE, suggesting that LAE is accompanied with redistributed phasic function. Moreover, compared with non-HT subjects, LA conduit (Se) and reservoir (Stot) indexes are damaged in HT participants with normal LA size, which supports that normal LA size may not be equal to normal function.
LA is far from being a simple passive transport chamber. LA functions as a reservoir during LV systole and isovolumic relaxation, receiving blood from the pulmonary veins and storing energy in the form of pressure. This atrial function is modulated by LV contraction, through the descent of the LV base during systole, by right ventricular systolic pressure transmitted through the pulmonary circulation, and by LA properties (ie, relaxation and chamber stiffness)[25]. LAVI is the only LA parameter evaluated in general clinical practice to reflect LA function. However, LA strain can also be used as a surrogate measurement of LA function[26] and prior studies showed that it might be a predictor of adverse outcomes among HT patients[3, 27] or other CVD high risk patients[11, 13, 28, 29]. A 7.9 year follow-up study[30] showed that LA reservoir and conduit strains were impaired in the stroke compared with non-stroke group with similar LAV. Another longitudinal study[31] also provided support for LA strain’s prediction value to new-onset AF in heart failure patients. In a community-based general population study, LA reservoir strain below 23% was proved to be an independent predictor of cardiac events including AF, acute coronary syndrome, heart failure[9]. Daniel et al. reported that abnormal LA strain was observed in patients of left ventricular diastolic dysfunction with normal LAVI[10]. Moreover, worse LA strain was significantly related to worse New York Heart Association functional class, even in the participants with normal LAVI[10]. These recent studies demonstrate that LA strain (LA phasic function) might be of high clinical significance, relatively sensitive and superior to LAVI in measuring and detecting unfavorable outcomes.
Figure 2 draws the spectrum of the LA structural and functional remodeling from normal size to sever LAE by phasic strain. The reservoir function (Stot) was impaired under stressors (i.e. HT in this population) even before LAE, and continues to deteriorate with advanced (moderate to severe) LAE, which may indicate that not only wall stretching (which meet the Frank-Starling law, e.g., LA Strain impaired in advanced stretching) but also potential histological change (e. g., fibrosis in HT) can be reflected by LA strain. The conduit function (Se) is damaged in HT subjects before LAE, and remain unchanged during gradually LA enlargement, which suggests Se correlates more with pathophysiological condition rather than LA size. The possible reason is that the conduit is a passive presses relying on LV relaxation and relatively not affected by LA structural remodeling, so in this population we observed no difference of Se among normal size and LAE groups, while in subgroup analysis it reduced in HT subjects, which commonly impair LV relaxation. For contractile function (Sa), it maintained (if not enhanced) until moderate to severe LA dilatation. Many previous researches focused on LA function in HT patients. Miyoshi et al. found LA reservoir and conduit function reduced in HT patients than in controls, but LA contractile function was similar in the two groups[32]. However, another Chinese cross-sectional study reported that these three function of LA all impaired in HT group[33]. Disparities among these reports may be result from different grade of HT, age, duration of HT, grade of HT, medication and the control of blood pressure[34–35].
In short, LA strain (Stot, Se, Sa) are relatively well-characterized surrogate marker of atrial function which plays an essential role in early detection of subclinical LA dysfunction[13,36−39]. This cross-sectional study provides incremental evidence over prior papers by the direct analysis of the association between LA size and function, as well as by the evaluation of the order of presence of LA dysfunction and LAE in HT patients. At present, despite more and more studies focus on these echo parameters, risk stratification and clinical strategies do not exploited them into clinical practice at present. Evidences concerning the spectrum of LA phasic function provide new insights and useful adjunctive information into the recognition of LA function and structure, especially in HT patients. LA strain (LA phasic function) might be promising predictors in the future.
The off line 2D STE software used in this study was not verified by other standard method in LA phasic function evaluation. We used only apical 4 chamber view in LA function evaluation instead averaging 2 or 3 apical views data as other authors did, while the data should be comparable among groups in deducing our results. And we used the image database stored in standard views, while the LA and LV may not coaxial in the long axis, so the precise designed study in LA analysis should collect images focusing on LA. The clinical and prospective significance of LA phasic function remodeling needs to be confirmed in future studies.
In this high cardiovascular risk community population study, we find that LA phasic function remodeling occurs before LA enlargement and continues with LAE. LA reservoir function is impaired under stressors (i.e. HT in this population) before LAE, and continues to deteriorate with advanced (moderate to severe) LAE. The conduit function is damaged (in HT subjects) before LAE, while remain unchanged during gradually LA enlargement. The LA contractile function maintains in mild and moderate LAE while decreases in severe LAE.
LA: Left atrial; LAE: LA enlargement; 2D STE: Two-dimensional speckle-tracking echocardiography; HT: hypertension; LV: left ventricular; CVD: cardiovascular diseases; BMI: Body mass index; DM: diabetes mellitus; BSA: body surface area; LAVI: LA volume index; PASP: Pulmonary artery systolic pressure; LVEF: LV ejection fraction; ROI: region of interest; SD: standard deviation; ICC: intraclass correlation coefficient.
None.
Chen CY: data analysis/interpretation, statistics, drafting article; Yang Y: concept/design, data collection, critical revision and approval of article; Zhang Y: concept/design, critical revision and approval of article.
None.
The data and materials used in this study are available from the corresponding author on reasonable request.
The study was approved by the ethics committee of both Peking University and Peking University First Hospital. and all subjects gave informed consent.
All authors and participants consented in writing to publication of this study.
The authors declare that they have no competing interests.