Abstract
Left ventricular (LV) dysfunction has been demonstrated in patients with metabolic syndrome (MetS). However, alterations in left atrial (LA) function in MetS are unknown. We aimed to use strain/strain rate (SR) imaging to investigate the effect of MetS on LA function. A total of 177 MetS patients and 156 normal subjects underwent echocardiography. Strain and SR tissue Doppler imaging values were used to evaluate LA function. Partial correlation and multiple stepwise regression analyses were used to determine the risk factors for impaired LA function. Compared with the controls, the MetS patients showed significantly lower levels of mean strain, mean peak systolic SR and mean peak early diastolic SR (P<0.001 for all), with no difference in the mean peak late diastolic SR. Central obesity, hypertension, dyslipidemia and LV diastolic abnormality were independent risk factors for impaired LA function. LA function was impaired in patients with MetS as a result of metabolic disturbance and LV diastolic abnormality. SR imaging is reliable in assessing LA function in MetS patients.
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Introduction
Large population-based studies have shown that metabolic syndrome (MetS), a well-described constellation of atherogenic risk factors, including obesity, hypertension, insulin resistance and dyslipidemia, increases the risk of cardiovascular diseases and all-cause mortality.1, 2, 3, 4 Recently, MetS has been associated with left ventricular (LV) hypertrophy, LV diastolic dysfunction and left atrial (LA) enlargement.5, 6, 7 The left atrium modulates LV filling and cardiovascular performance during every phase. Thus, the left atrium is at the intersection of MetS and LV performance.
Because the incidence of paroxysmal atrial fibrillation and atrial flutter is higher in MetS patients without structural heart diseases,8 investigating alterations in the LA structure and function in these patients is of interest. However, whether MetS itself or the consequent LV diastolic dysfunction is the cause of alterations of the left atrium is unknown. Therefore, we aimed to assess alterations in the LA function in patients with MetS using strain/strain rate (SR) imaging and to determine the leading risk factors and potential mechanisms.
Methods
Study population
We recruited 177 consecutive patients with MetS (75 males with a mean age of 53.7±8.5 years, range 26–74), with cardiovascular risk factors (obesity, hypertension, glucose tolerance/diabetes mellitus and dyslipidemia) and no previous history or clinical evidence of heart failure or overt coronary artery disease. We also enrolled 156 age- and sex-matched normal subjects (57 males with a mean age of 52.7±8.7 years, range 35–85 years) without cardiovascular disease, hypertension or diabetes mellitus. All the subjects were in sinus rhythm. At inclusion, all the subjects underwent a thorough review of their medical history, clinical examination and electrocardiography for the detection of clinical events. Informed consent was obtained from all subjects on the basis of a protocol approved by the Ethics Committee of QiLu Hospital, Shandong University, China.
Clinical assessment
We obtained details of age, sex, weight and height, and heart rate; body mass index was calculated as body weight in kilograms divided by height in meters squared. Waist circumference was measured at the level of the umbilicus. Systolic and diastolic blood pressure (BP) readings were obtained using a mercury sphygmomanometer and auscultatory methods. MetS was diagnosed according to the criteria in the 2005 guidelines of the International Diabetes Federation: (1) central obesity (waist circumference ⩾90 cm for men and ⩾80 cm for women) and (2) the presence of two or more of the following: systolic BP⩾130 mm Hg or diastolic BP⩾85 mm Hg or receiving antihypertensive medication, a triglyceride (TG) level ⩾150 mg dl−1 or receiving specific treatment for this lipid abnormality, high-density lipoprotein cholesterol (HDL)-C<40 mg dl−1 for men or <50 mg dl−1 for women, fasting glucose ⩾100 mg dl−1 or a previous diagnosis of type 2 diabetes mellitus.
Biochemical assessment
Blood was drawn after the participants had fasted overnight. Plasma levels of total cholesterol, HDL-C, low-density lipoprotein cholesterol (LDL-C), TGs and fasting blood glucose (FBG) were measured using standard laboratory techniques. After centrifugation, the fasting serum insulin (FINS) was determined using a radio-immunoassay kit (Dongya, Beijing, China). Homeostatic model assessment-insulin resistance index (HOMA-IRI) was calculated using the homeostasis model assessment method (fasting insulin in microunits per milliliter multiplied by fasting glucose in millimoles per liter divided by 22.5).9 The insulin sensitivity index was calculated as follows: ISI=−ln(FBG × FINS).10
Echocardiography examination
A commercially available ultrasound machine (Vivid 7 Dimension; General Electric Medical Systems, Horten, Norway) with a 2.5-MHz variable-frequency transducer was used for all the echocardiographic studies. Standard echocardiographic views, including parasternal long-axis and apical four-, three- and two-chamber views, were obtained in two-dimension and color tissue velocity imaging modes with the subjects lying in the left lateral decubitus position. The LV dimensions and LV ejection fraction (%) were measured in two-dimension-guided M mode below the mitral valve leaflets in the parasternal long-axis view. LV end-diastolic diameters and septal and LV posterior end-diastolic wall thickness were measured as recommended by the American Society of Echocardiography. LV mass was calculated using the formula proposed by Devereux et al.11 and normalized for body surface area (LV mass index, g m−2). The LA dimension was defined as the largest distance between the posterior aortic and the atrial walls in the parasternal long-axis view during systole. The final values were obtained from the average of 3–5 measurements. The LA volume was calculated by the ellipsoid method (LA volume=4π/3 (L/2) (D1/2) (D2/2)) and normalized for the body surface area (LA volume index, ml m−2). D1 was the LA anteroposterior diameter acquired from the parasternal long-axis. D2 was the LA medial-lateral dimension from the parasternal short-axis. L was the LA long-axis from the apical four-chamber.
Transmitral flow profile was assessed using two-dimension-guided pulsed-wave Doppler in the apical four-chamber view by positioning a 3-mm-sized sample volume between the tips of the mitral leaflets in diastole and recording at a sweep velocity of 100 mm s−1. Mitral flow parameters included peak velocities during early diastole (E) and late diastole (A) as well as their ratio (the E/A ratio).
Tissue doppler imaging and strain/SR measurements
Color tissue Doppler images from the apical two-chamber, four-chamber and long-axis views were recorded, with frame rates between 90 and 150 frames per second automatically changed by the sector width. Three to five cardiac cycles were recorded in each cine loop. Three cine loops were recorded for each patient and saved digitally on a magneto-optical disk (MO-4.8GB; IMATION, Tokyo, Japan) for later analysis offline.
Myocardial Doppler velocity profile signals were reconstructed off-line from the tissue velocity imaging color images. In the apical two-chamber, four-chamber and long-axis views, the regional analysis consisted of placing the region-of-interest cursor at the corners of the mitral annulus at the septum, anterior, lateral, posterior and inferior walls. The strain and SR curves were assessed in the inner half of the myocardium on the basal and mid segments of the left atrium at the septum, anterior, lateral, posterior and inferior walls in the apical views. A sample volume 2.0 mm wide and 6.0 mm long was used in all the studies. The sample volume was manually tracked frame by frame to ensure that it maintained the same position within the myocardium throughout the cardiac cycle. Thus, curves for tissue velocity vs. time, strain vs. time, and SR vs. time (Figure 1) were generated from these regions of interest. The tissue velocity imaging and SR curves were typical triphasic curves, but the strain curves were monophasic. We measured (Vs) peak systolic diastolic velocity, peak early diastolic velocity (Ve), peak late diastolic velocity (Va), peak strain (S), peak systolic SR (SSR), peak early diastolic SR (ESR) and peak late diastolic SR (ASR) in each segment of the five LA walls (septum, lateral, posterior, anterior and inferior). The average values of Vs, Ve, Va, S, SSR, ESR and ASR were defined as Vsglobal, Veglobal and Vaglobal and the mean S, SSR, ESR and ASR, respectively.
Statistical analyses
Statistical analyses involved the use of SPSS 13.0 (SPSS, Chicago, IL, USA). The data are presented as the mean±s.d. for continuous variables and as proportions for categorical variables. Differences in continuous variables between the two groups were assessed by independent sample Student’s t-tests. Categorical variables were analyzed by the χ2-test. The correlation between two variables was tested using Pearson’s correlation coefficient. The independent correlation of LA function with metabolic factors and LV diastolic function was investigated using partial correlation analysis. Variables with P<0.10 in the univariate analysis were entered into the multivariate model with a stepwise regression analysis. Bland–Altman plots were used to assess intraobserver and interobserver reproducibility. One of the investigators (Ning-ning Fang) repeated the VVI (Velocity Vector Imaging) and obtained strain data for 10 randomly selected patients at two time points to determine the intraobserver reproducibility. Another investigator (Hui-ping Gong) independently obtained VVI data for the same 10 patients to determine interobserver reproducibility. The mean bias and limits of agreement (1.96±s.d.) from the Bland–Altman plot are presented for the intraobserver and interobserver reproducibility. A P<0.05 was considered statistically significant.
Results
Clinical characteristics
The general characteristics of the study population are summarized in Table 1. The controls and MetS subjects did not differ in age or sex. As expected, the MetS patients had significantly larger waist circumference; higher body mass index, HOMA-IRI, BP and levels of TGs and LDL-C, insulin, and fasting glucose; and lower HDL-C levels and ISI as compared with controls.
Echocardiographic findings
The echocardiographic characteristics of the participants are listed in Table 1. Compared with the controls, the MetS patients showed significantly greater septal and posterior wall thickness, larger LA end-diastolic dimensions and LA volume, higher LA volume and LV mass indices, greater LV mass and peak velocity of the mitral A wave, and a higher E/Veglobal ratio but smaller E/A, Veglobal and Veglobal/Vaglobal ratios.
Strain and SR Parameters of LA in MetS
The mean S and SSR, considered indicators of the LA reservoir function, were significantly lower for the MetS patients than for the controls. The mean ESR, an indicator of the LA conduit function, was significantly lower for the MetS patients than for the controls. The controls and MetS patients did not differ in mean ASR, an indicator of LA booster function (Table 2).
Relationship between LA strain/SR parameters and clinical and echocardiographic variables
After controlling for the variables that describe left ventricular diastolic function (Veglobal and the Veglobal/Vaglobal and E/Veglobal ratios), partial correlation analysis to investigate the relationship between LA function and metabolic factors revealed that the mean S was significantly correlated with systolic BP; diastolic BP; pulse pressure; waist circumference; waist-to-hip ratio; cholesterol, TG, LDL-C levels; FBG; FINS; ISI and HOMA-IRI. The mean SSR was significantly correlated with age; systolic BP; diastolic BP; pulse pressure; waist circumference; waist-to-hip ratio; cholesterol; TG, HDL-C and LDL-C levels; FBG; FINS; ISI and HOMA-IRI. The mean ESR was significantly correlated with age; systolic BP; diastolic BP; pulse pressure; waist circumference; waist-to-hip ratio; cholesterol, TG, HDL-C and LDL-C levels; FBG; FINS; ISI and HOMA-IRI (Table 3).
After controlling for heart rate and metabolic variables (systolic BP; diastolic BP; pulse pressure; waist circumference; waist-to-hip ratio; cholesterol, TG and LDL-C levels, FBG; FINS; ISI and HOMA-IRI), partial correlation analysis to investigate the relationship between LA function and LV diastolic function revealed that the mean S and mean SSR were significantly correlated with Veglobal and E/Veglobal ratio, and the mean ESR was significantly correlated with Veglobal and the Veglobal/Vaglobal and E/Veglobal ratios (Table 4).
The significant association of MetS with LA function was confirmed by linear stepwise multiple regression analyses (Table 5). Systolic BP, Veglobal, ISI, cholesterol level and waist-to-hip ratio were significant determinants of the mean S, and Veglobal, systolic BP, cholesterol level, age and waist circumference were significant determinants of the mean ESR in the multivariate model, whereas the mean SSR was significantly correlated with systolic BP, cholesterol level, Veglobal, ISI, age and HDL-C level.
Intraobserver and interobserver reproducibility
Intraobserver and interobserver reproducibility for the LA mean ESR derived from VVI is presented in Figure 2. The mean intraobserver bias was 0.9 (limits of agreement, −0.25–0.26) for the LA mean ESR. The mean interobserver bias was 0.3 (limits of agreement, −0.16–0.23) for the LA mean ESR.
Discussion
Our study is the first to evaluate LA function in MetS patients by strain/SR imaging. We found that the LA reservoir and conduit functions were impaired and that the booster function was maintained. In addition, the main components of MetS—central obesity, hypertension, dyslipidemia and decreased ISI—were independent risk factors for impaired LA function.
Impact of MetS on the cardiovascular system
MetS is a cluster of atherogenic risk factors, including abdominal obesity, hypertension, insulin resistance, dyslipidemia, proinflammation and a prothrombotic state. Several studies investigating LV structure and function in patients with MetS demonstrated that the syndrome is associated with LV hypertrophy and LV diastolic dysfunction in hypertensive patients as well as in the general population.5, 6, 7 In the present study, patients with MetS showed significant alteration of LV geometry and function as characterized by LV hypertrophy and abnormal early diastolic LV relaxation, although LV systolic function was normal.
Strain and SR imaging in evaluating LA function
The development of novel echocardiographic techniques, such as tissue Doppler imaging, has enhanced the ability to assess regional myocardial function noninvasively.12, 13, 14 One such technique, strain/SR imaging, has recently emerged as a method to quantify LA, LV and RV regional myocardial function independent of cardiac rotational motion and a tethering effect15, 16 as well as to enable quantitative assessment of LA function in patients with paroxysmal atrial fibrillation and atrial septal defect.17, 18, 19 LA function contributes greatly to LV filling through the following three components: a reservoir phase during systole, a conduit phase during diastole and an active contractile component (when sinus rhythm is present) during late diastole. Previous studies have demonstrated that strain, SSR and LA deformation during systole could be used as indices of the LA reservoir function in collecting blood from the pulmonary vein influx to the left atrium and that the mean ESR was assessed in a phase when the left atrium works mainly as a conduit and could be used as an index of LA myocardial conduit function. The efficacy of strain/SR imaging, however, has not been determined in patients with MetS. Our study of strain/SR imaging revealed that the LA reservoir and conduit functions were seriously impaired in MetS patients, as reflected by a decreased mean S, SSR and ESR.
Impact of MetS on LA reservoir and conduit function
The individual components of MetS are associated with abnormal cardiac structure and function. These components tend to have synergistic effects on cardiac functions. Reilly et al.20 demonstrated that the effect of MetS on the cardiovascular system is greater than the sum of its components. In our study, we found that impaired LA function in patients with MetS was independently associated with hypertension, central obesity, dyslipidemia and insulin resistance.
Obesity, particularly central obesity, is an important risk factor for cardiac dysfunction independent of the other components of MetS.21 Chiew22 described a potential pathophysiologic mechanism for the cardiomyopathy of obesity that begins with increased cardiac output, enhanced LV volume and enlarged LA diameter. Adipose tissue might contribute to circulating angiotensin II,23 which promotes myocardial tissue growth and influences the aldosterone level, which in turn mediates myocardial fibrosis. Myocardial fibrosis in moderate and severely obese subjects was confirmed by myocardial biopsy.24 Our results indicate that central obesity contributes to decreased LA reservoir and conduit function.
Because the impact of hypertension on cardiac structure and function has been widely studied in MetS cohorts,25 the alterations in LA function in patients with hypertension have been thoroughly demonstrated.15, 26 Kokubu et al.26 showed that the impaired LA function in hypertensive patients might be attributable to LA myocardial fibrosis, as shown in an animal study.27 We found that systolic BP is the independent factor most responsible for decreased LA reservoir and conduit function.
Although the underlying mechanism of MetS that is responsible for increased cardiovascular risk has not been elucidated, the possibilities were reviewed by Deedwania,28 who concluded that insulin resistance is the basic mechanism. The alterations in myocardial substrate metabolism are related to reduced myocardial contractile dysfunction in patients with insulin resistance and diabetes.29, 30 Therefore, insulin resistance in MetS and type 2 diabetes patients might have an important role in cardiac dysfunction. We found a significant relationship between LA function and ISI.
Interestingly, we found a weak but independent relationship between LA function and dyslipidemia, which has rarely been demonstrated. Dyslipidemia, an independent risk factor for increased cardiovascular mortality and mobility,31, 32 can cause vascular endothelial dysfunction, leading to abnormal myocardium infusion and reconstruction of myocardial cells and the interstitium.33 Therefore, dyslipidemia may have harmful effects on LA function, although the exact mechanisms remain unclear.
The Relationship between LV diastolic function and LA function in MetS
LA function has an important role in LV filling, particularly in patients with impaired diastolic function. LA function is directly influenced by LV diastolic function. Compared with the controls, the MetS patients in our study showed decreased early diastolic peak tissue velocity of the mitral valve annulus (Veglobal), a lower ratio of early to late diastolic peak tissue velocity (Veglobal/Vaglobal) and a higher E/Veglobal ratio reflecting LV diastolic function, which is consistent with a previous hypothesis that an LV diastolic abnormality accompanies MetS. Grandi et al.34 showed that only LV diastolic function was reduced in MetS. Therefore, the alteration in LA function might be attributable to abnormal blood flow from the left atrium to the left ventricle consequent to increased LV stiffness. The association of LV diastolic function with the parameters of LA function showed that LV diastolic function led to decreased LA reservoir and conduit functions; this was confirmed by linear stepwise multiple regression analyses and partial correlation analysis after controlling for age, heart rate and metabolic variables.
Alteration of LA systolic function in MetS
The mean ASR was negative during late diastole, which indicates shortening of the LA wall. We found no significant difference in the mean ASR between the control and MetS groups, which indicates that MetS had no effect on LA myocardial contractility. Similarly, Kokubu et al.25 found no significant difference in LA booster function in hypertensive patients using SR imaging, in contrast to conventional echocardiographic imaging. Possible reasons for the discrepant results might be that SR imaging reflects regional LA myocardial functions rather than global functions. Compared with the conventional echocardiographic parameters (that is, the LA myocardium and interstitium fibrosis), SR imaging might be able to detect these subtle changes in the LA wall.
Our study has some limitations. Tissue Doppler imaging measurements are angle-dependent, which might influence the accuracy of the results. In our study, we performed strain/SR imaging measurements, keeping the angle between the ultrasound beam and the LA longitudinal axis as small as possible (<30°) to eliminate error. There was no appropriate stress testing, so patients with subtle coronary artery disease might not have been excluded. In addition, because we examined a relatively small number of patients with MetS, our observations require confirmation by a prospective large-scale population study.
In summary, patients with MetS have impaired LA function, and SR imaging is reliable in assessing it. Central obesity, hypertension, dyslipidemia and decreased ISI are independent risk factors for impaired LA function; however, the precise mechanisms remain to be elucidated.
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Acknowledgements
This work was supported by research grants from the National Science and Technology Major Project (2012ZX09303-016-003), the National Natural Science Foundation of China (81100605, 81270352, 81270287, 81300168, 81471036 and 81470560), the Natural Science Foundation of Shandong Province (BS2013YY017, ZR2013HQ065 and ZR2014HQ037), the Cardiovascular Exploration Research Foundation of the Chinese Medical Doctor Association (DFCMDA201320), and the Specialized Research Fund for the Doctoral Program of Higher Education (SRFDP 20130131120065).
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Fang, Nn., Sui, Dx., Yu, Jg. et al. Strain/strain rate imaging of impaired left atrial function in patients with metabolic syndrome. Hypertens Res 38, 758–764 (2015). https://doi.org/10.1038/hr.2015.76
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DOI: https://doi.org/10.1038/hr.2015.76
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