http://orcid.org/0000-0003-4209-2778
Figures
Abstract
Purpose
To define normal values of the cardiac time intervals obtained by tissue Doppler imaging (TDI) M-mode through the mitral valve (MV). Furthermore, to evaluate the association of the myocardial performance index (MPI) obtained by TDI M-mode (MPITDI) and the conventional method of obtaining MPI (MPIConv), with established echocardiographic and invasive measures of systolic and diastolic function.
Methods
In a large community based population study (n = 974), where all are free of any cardiovascular disease and cardiovascular risk factors, cardiac time intervals, including isovolumic relaxation time (IVRT), isovolumic contraction time (IVCT), and ejection time (ET) were obtained by TDI M-mode through the MV. IVCT/ET, IVRT/ET and the MPI ((IVRT+IVCT)/ET) were calculated. We also included a validation population (n = 44) of patients who underwent left heart catheterization and had the MPITDI and MPIConv measured.
Results
IVRT, IVRT/ET and MPI all increased significantly with increasing age in both genders (p<0.001 for all). IVCT, ET, IVRT/ET, and MPI differed significantly between males and females, displaying that women, in general exhibit better cardiac function. MPITDI was significantly associated with invasive (dP/dt max) and echocardiographic measures of systolic (LVEF, global longitudinal strain and global strainrate s) and diastolic function (e’, global strainrate e)(p<0.05 for all), whereas MPIConv was significantly associated with LVEF, e’ and global strainrate e (p<0.05 for all).
Citation: Biering-Sørensen T, Mogelvang R, de Knegt MC, Olsen FJ, Galatius S, Jensen JS (2016) Cardiac Time Intervals by Tissue Doppler Imaging M-Mode: Normal Values and Association with Established Echocardiographic and Invasive Measures of Systolic and Diastolic Function. PLoS ONE 11(4): e0153636. https://doi.org/10.1371/journal.pone.0153636
Editor: Elena Cavarretta, Sapienza University of Rome, ITALY
Received: January 27, 2016; Accepted: April 1, 2016; Published: April 19, 2016
Copyright: © 2016 Biering-Sørensen et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: Since the data presented in the present report is obtained from human studies and is illegal to distribute in accordance with the data protection rules in Denmark, the authors cannot make the data publicly available.
Funding: This study was financially supported by the Faculty of Health Sciences, University of Copenhagen, Denmark. The sponsor had no role in the study design, data collection, data analysis, data interpretation, or writing of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Cardiac time intervals are sensitive markers of cardiac dysfunction, even when it goes unrecognized by conventional echocardiography[1–4]. These subtle impairments in cardiac function, which are revealed by disturbed cardiac time intervals, have previously been demonstrated to contain prognostic information incremental to the conventional echocardiographic parameters[4–8]. The great potential of the cardiac time intervals to capture signs of cardiac dysfunction was already demonstrated half a century ago[9]. Since then, cardiac ultrasound machines have evolved and new methods of obtaining cardiac time intervals have been suggested. The most common method of obtaining cardiac time intervals by echocardiography is from velocity curves obtained from pulsed-Doppler echocardiography of the left ventricular (LV) outflow tract and mitral valve (MV) inflow[10,11]. It is hereby possible to calculate the index of combined systolic and diastolic performance and is known as the myocardial performance index (MPIConv)[10,11]. Additionally, using the newer echocardiographic modality, tissue Doppler imaging (TDI) which provides regional myocardial velocity curves and, thereby, regional cardiac time intervals[12] and MPI (MPIRegional), has in recent years been an attractive method in the obtainment of cardiac time intervals[13–15]. The two aforementioned methods of obtaining cardiac time intervals have, however, several limitations which have been a limiting factor in the clinical applicability of these methods until now. A novel method has recently evolved where global cardiac time intervals are obtained through evaluation of MV movement through the cardiac cycle by using a simple color TDI M-mode analysis[4,7,8,16–19]. Using color TDI M-mode through the MV to estimate cardiac time intervals is an improved method, with better precision and reproducibility[17,18], reflecting global cardiac time intervals and eliminating beat-to-beat variation and regional differences.
Nevertheless, clear definitions of normal and pathological cardiac time intervals, including their normal values, have to be established before we can use these in a clinical setting in order to be able to identify miniscule levels of impaired cardiac function. In addition, the association between this novel method of obtaining MPI (MPITDI) and established echocardiographic and invasive measures of systolic and diastolic function has to be evaluated. The aim of this study was, therefore, to define normal values of cardiac time intervals obtained by TDI M-mode through the MV in a large sample obtained from the general population without known cardiovascular disease and cardiovascular risk factors. A further aim of this study was to evaluate the association of MPITDI (the novel method of obtaining MPI) and MPIconv (the conventional method of obtaining MPI) as described by Tei and colleagues[10,11] with established echocardiographic and invasive measures of systolic and diastolic function.
Method
Study population
Our study population consists of individuals without hypertension, diabetes, ischemic heart disease (IHD), heart failure (CHF) or atrial fibrillation who are included in the echocardiographic sub study of the fourth Copenhagen City Heart Study (Study group A)[4,8,18,20], and an invasive validation group consisting of patients suspected of ischemic heart disease who underwent coronary angiography, left heart catheterization and echocardiography (Study group B).
Population contributing to the normal values (group A).
This population includes all participants from the fourth Copenhagen City Heart Study examination 2001–2003, who had an echocardiographic examination, including TDI, performed and who were free from any cardiovascular disease and cardiovascular risk factor (n = 974)(Tables 1 and 2).
Invasive validation population (group B).
The validation population includes patients suspected of ischemic heart disease who underwent coronary angiography and left heart catheterization (n = 44) at Department of Cardiology, Gentofte Hospital, University of Copenhagen between April 2009 and February 2011. JSJ and SG were the treating physicians performing coronary angiography in group B.
All participants gave written informed consent, and the study was performed in accordance with the second Helsinki Declaration and approved by the regional ethics committee for the region of Copenhagen and the Danish data protection agency.
Invasive measurements
In group B, left heart catheterization was performed. Left ventricular (LV) pressures were measured, and an echocardiogram was performed according to a standardized protocol. Invasively measured pressure curves were obtained using 5 French pigtail catheters placed in the LV chamber and the pressure set and transducer were calibrated. Measurements were obtained over at least three cardiac cycles and saved as hard copies and digitalized in relation to this study. The LV pressure curves were digitalized using Dagra Version 2.0.12.35924. In all cardiac cycles the rate of LV pressure rise in early systole (dP/dt max) and the rate of LV pressure decline in early diastole (dP/dt min) were measured and averaged over all the cardiac cycles. In addition to dP/dt max and dP/dt min, the time constant of LV isovolumic pressure decline (tau) was measured.
Echocardiography
All echocardiograms were obtained using Vivid ultrasound systems (GE Healthcare, Horten, Norway) with a 2.5-MHz transducer. All participants were examined with conventional two-dimensional echocardiography and color TDI. All echocardiograms were stored and analyzed offline with commercially available software (EchoPac, GE Medical, Horten, Norway).
Conventional echocardiography.
In group A [8,18], regional function was evaluated by the standard 16-segment model, as suggested by the American Society of Echocardiography[21]. LV ejection fraction (LVEF) was evaluated by 1 observer on the basis of the wall motion index score. Additional in group A, diastolic dysfunction was determined by E/A-ratio and DT, and defined as DT < 140 ms and E/A<50 years > 2.5, E/A50–70 years > 2, or E/A>70 years > 1.5, respectively[4,8]. In group B, LVEF was obtained using modified biplane Simpson’s method[21].
The myocardial thickness and the dimensions of the LV in end-diastole (LVIDd) and the left atrium in end-systole (LAD) were measured. LV mass index (LVMI) was calculated as the anatomic mass[21] divided by body surface area[22]. Pulsed wave Doppler at the apical view was utilized to record mitral inflow between the tips of the MVs. Peak velocity of early (E) and atrial (A) diastolic filling and deceleration time of the E-wave (DT) were measured and the E/A-ratio was calculated. In group B, pulsed-wave TDI tracings were obtained with the range gate placed at the septal and lateral mitral annular segments in the 4-chamber view. The peak longitudinal early diastolic (e’) velocity was measured and the average was calculated from the lateral and septal velocities and used to obtain the E/e’ ratio. Furthermore, left atrial volume was estimated by the biplane area-length method and divided with BSA creating the Left Atrial Volume Index (LAVI). Impaired systolic function was defined as an LVEF below 50% and impaired diastolic function as e’ below 9 cm/sec and/or an LAVI of 34 mL/m2 or above.
Additionally, in group B time intervals were measured using the method described by Tei and colleagues[10,11]. The interval from MV closing to opening was determined as the period from the end to onset of mitral inflow (A to E time) obtained from the pulsed-wave Doppler at the apical position. LV ejection time (ET) was determined as the period from onset to end of LV outflow. MPIConv was calculated as: (A to E time–ET)/ET[10,11].
Two-dimensional strain echocardiography.
In group B, Two-dimensional strain echocardiography (2DSE) was performed from the apical 4-chamber, 2-chamber and apical long-axis view (mean 79 frames/s, standard deviation 18 frames/s). By speckle tracking, the endocardial border was traced in end systole. The integrity of speckle tracking was automatically detected and visually ascertained. In case of poor tracking, the region of interest tracing was readjusted. Global longitudinal strain (GLS) was measured in all three apical views and averaged to provide GLS. Furthermore, in each three apical views, global longitudinal systolic strain rate (GL SR s) and global longitudinal early diastolic strain rate (GL SR e) were measured, and averaged to provide global estimates.
Cardiac time intervals obtained by color TDI M-mode.
In group A [8,18], color TDI tracings were obtained with the range gate placed at the lateral, septal, inferior, anterior, posterior and anterior septal mitral annular segments in the 4-, 2- and 3-chamber view. In group A e’ was measured by color TDI and the average was calculated from the lateral, septal, inferior, anterior, posterior and anterior septal velocities and used to obtain E/e’ ratio.
In both group A [8,18] and group B, cardiac time intervals were obtained by placing a 2–4 cm straight M-mode line through the septal half of the MV in the color TDI 4-chamber view and cardiac time intervals were measured directly from the color diagram[7,8,18] (Fig 1). The IVCT was defined as the time interval from MV closure (MVC), determined by the color shift from blue/turquoise to red at end-diastole, to aortic valve opening (AVO) determined by the color shift from blue to red (Fig 1). ET was defined as the time interval from AVO to aortic valve closing (AVC), determined by the color shift from red to blue at end systole (Fig 1). IVRT was defined as the time interval from AVC to MV opening (MVO), determined by the color shift from red-orange to yellow (Fig 1). The method has previously been validated [7,17,18], and has been demonstrated to be superior to the conventional method of obtaining cardiac time intervals[17,18]. Furthermore, we have previously demonstrated high reproducibility of the method in this present study population[18]. Both isovolumic time intervals were divided with ET creating IVRT/ET and IVCT/ET, respectively, and MPI was calculated as the sum of the two ((IVRT+IVCT)/ET).
Left: Four-chamber gray-scale (bottom) and color TDI (top) views in end-systole displaying the position of the M-mode line used for measuring the cardiac time intervals. Right: Color diagram of the TDI M-mode line through the mitral leaflet. MV = Mitral Valve; MVC = MV Closing; AVO = Aortic Valve Opening; AVC = Aortic Valve Closure; MVO = MV Opening.
Statistics
Proportions were compared using χ2-test, continuous Gaussian distributed variables with Student’s t-test or Mann-Whitney test if non-Gaussian distributed. The association between cardiac time intervals, age and gender was tested by univariable and multivariable regression analyses including significant confounders detected from the baseline differences between genders (Table 1). Linearity, variance homogeneity, and the assumption of normality were tested with plots of residuals. Trends were analyzed by linear regression analyses and departure from linearity was assessed by simultaneous assessment of linear and quadratic effects. Non-Gaussian distributed continues variables (LVMI and E/e’) were categorised into quartiles when included in the models. In Table 2 the age category difference was determined by ANOVA. A p-value ≤ 0.05 in 2-sided test was considered statistically significant. All analyses were performed with STATA Statistics/Data analysis, SE 12.0 (StataCorp, Texas,USA).
Results
Normal values of cardiac time intervals in healthy participants stratified by age and gender
In participants without hypertension, diabetes, IHD, CHF or atrial fibrillation, normal values of cardiac time intervals were assessed. The population that contributed to the normal values consisted of 974 participants, 553 women and 421 men, (Table 1). The study participants were stratified according to age (20 to 39, 40 to 59, and ≥ 60 years) and gender (Table 2 and Fig 2).
Depicting the expected values of the cardiac time intervals with increasing age for participants stratified according to gender. Dotted curves indicate 95% confidence intervals. IVCT = Isovolumic Contraction Time; IVRT = Isovolumic Relaxation Time; ET = Ejection Time; MPI = Myocardial Performance Index.
Gender significantly modified the relationship between age and two of the cardiac time intervals (IVCT and IVCT/ET) which is visualized in Fig 2 (p for interaction = 0.004 for IVCT; p for interaction = 0.005 for IVCT/ET). IVRT, IVRT/ET and MPI all increased significantly with increasing age in both genders (p<0.001 for all)(Table 2 and Fig 2). IVCT and IVCT/ET increased statistically significantly with increasing age in females but not in males (Table 2 and Fig 2). ET decreased with increasing age in both genders; however, this decline was not statistically significant (Table 2 and Fig 2). IVCT, ET, IVRT/ET, and MPI differed significantly between male and female gender. These gender differences remained statistically significant after multivariable adjustment for all other baseline differences between genders reported in Table 1.
The association between MPITDI and MPIConv, and invasive measures of systolic and diastolic function
The clinical characteristics of the validation cohort undergoing left heart catheterization are displayed in Table 3. There was no association between MPIConv and dP/dt max (p = 0.18; Table 4 and Fig 3a). The MPITDI decreased significantly with increasing values of dP/dt max (p = 0.047; Table 4 and Fig 3a), reflecting improved values of the combined cardiac index with improved cardiac contractility. In comparison, there was no association between dP/dt max and GLS (p = 0.20) or LVEF (p = 0.11). The only systolic echocardiographic parameter which displayed improved systolic function with better LV contractility determined by higher dP/dt max was GL Strainrate s (GL Strainrate s: β = -0.021 (-0.039 to -0.003), R2 = 0.12, p = 0.025, per 100 mmHg/sec increase).
Depicting the scatter plots and the expected values for MPITDI and MPIConv according to the values of dP/dt max (Fig 3a) and dP/dt min (Fig 3b), respectively. Dotted curves indicate 95% confidence intervals. dP/dt max = the rate of LV pressure rise in early systole; dP/dt min = the rate of LV pressure decline in early diastole; MPITDI = Myocardial Performance Index by TDI M-mode; MPIConv = Myocardial Performance Index by the conventional method.
Neither MPIConv nor MPITDI were significantly associated with dP/dt min (Table 4 and Fig 3b). With regards to MPITDI we did, however, find a trend where MPITDI seemed to increase with increasing values of dP/dt min (lower numerical values)(Table 4 and Fig 3a), reflecting a worsening diastolic function (Table 4 and Fig 3b). In contrast, for MPIConv, if a trend was present, it seemed reversed, as MPIConv increased with decreasing values of dP/dt min (higher numerical values), reflecting improved diastolic function (Table 4 and Fig 3b). In comparison, neither e’, GL Strainrate e, nor E/e’ were significantly associated with changes in dP/dt min (e’: β = 0.155 (-0.086 to 0.396), R2 = 0.04, p = 0.20, per 100 mmHg/sec decrease; GL Strainrate e: β = 0.005 (-0.021 to 0.031), R2 = 0.00, p = 0.71, per 100 mmHg/sec decrease; E/e’: β = -0.006 (-0.532 to 0.520), R2 = 0.00, p = 0.98, per 100 mmHg/sec decrease).
Like for the dP/dt min, neither MPITDI nor MPIConv were significantly associated with tau (Table 4).
The association between MPITDI and MPIConv and established echocardiographic measures of systolic and diastolic function
MPITDI increased significantly, displaying worsening myocardial function with worsening systolic function determined by LVEF, GLS or GL Strainrate s (Table 4). In contrast, MPIConv only increased significantly with worsening LVEF (Table 4).
Both MPITDI and MPIConv increased significantly with worsening diastolic function determined by e’ or GL Strainrate e (Table 4). Neither MPIConv nor MPITDI were significantly associated with E/e’ (Table 4).
Additionally, MPITDI was defined as increased when above 0.54 for women and 0.56 for men as obtained from group A (Table 2). Furthermore, in group B an impaired systolic function was defined as an LVEF below 50% and impaired diastolic function as e’ below 9 cm/sec (average obtained from the septal and lateral wall by pulsed-wave TDI) and/or an left atrium volume index of 34 mL/m2 or above. Applying the cut-offs obtained from group A on group B, resulted in a sensitivity of 26% and a specificity of 100% for the MPITDI to identify an impaired systolic and/or diastolic function defined by conventional echocardiography (Table 5).
Discussion
Normal values of cardiac time intervals stratified by age and gender
Our study is the first to assess the normal values of cardiac time intervals obtained by TDI M-mode in a sample from the general population without cardiovascular disease and cardiovascular risk factors (Table 2). We found that LV function assessed by IVRT, IVRT/ET, and MPI, all decreased with increasing age in both genders (Table 2 and Fig 2). The decrease in LV cardiac function with increasing age as assessed by IVCT and IVCT/ET was only statistically significant in females and not in males (Table 2 and Fig 2). ET decreased with increasing age in both genders; however, this decline was not statistically significant (Table 2 and Fig 2). Other novel echocardiographic parameters detecting subtle myocardial impairments like two-dimensional strain echocardiography[23] and TDI[24] have previously, and in accordance with our results, been demonstrated to detect miniscule LV dysfunction with increasing age despite the absence of any cardiovascular disease or risk factors.
IVCT, ET, IVRT/ET, and MPI all differed significantly between male and female gender (Table 2 and Fig 2). These gender differences remained statistically significant after multivariable adjustment for all other baseline differences between genders (Table 2). Gender differences exist both in novel echocardiographic parameters like two-dimensional strain echocardiography[23] and TDI[24], but also in the cardiac dimensions obtained by conventional echocardiography[21], and in conventional measures of systolic[25] and diastolic function[21,24]. The discrepancy we found, i.e. that women, in general, display better cardiac function than men, appears to be physiologically plausible and in accordance with previous studies[21,23–25].
The association between MPITDI and MPIConv and invasive and echocardiographic measures of systolic and diastolic function
MPITDI has previously been demonstrated to have better reproducibility[17,18] and to be influenced by fewer physical parameters compared to MPIConv[18]. Additionally, MPITDI (but not MPIConv) has been proven to be an independent predictor of mortality in the general population[18]. This study is, however, the first to compare the two methods of obtaining MPI with established invasive and echocardiographic measures of systolic and diastolic performance. Our results demonstrate that MPITDI (but not MPIConv) is significantly correlated with the invasive measure of contractility and systolic function dP/dt max (Table 4 and Fig 3a). The only other echocardiographic measure which was significantly correlated with dP/dt max was GL SR s, which previously has been demonstrated to be the most accurate marker of myocardial contractile function[26]. MPITDI may, therefore, be an accurate marker of myocardial contractile function as well. In contrast to our results, Tei and colleagues previously demonstrated good correlation between MPIConv and dP/dt max in a smaller study of patients with IHD[27]. However, in accordance with our results, several studies performed during the last decade which compare MPI obtained by the conventional method as described by Tei and colleagues[10,11] and by TDI, have demonstrated MPI obtained by TDI to be the superior method[17,18,28,29], both when comparing reproducibility[17,18] and their diagnostic and prognostic utilities[18,28,29].
Neither MPIConv nor MPITDI were significantly associated with dP/dt min in our study. In comparison, none of the diastolic echocardiographic measures (e’, GL Strainrate e, nor E/e’) were significantly associated with changes in dP/dt min. The lack in correlation between our invasive measure of diastolic function (dP/dt min) and the echocardiographic measures of diastolic function may, therefore, display an inherent limitation in the invasive dP/dt min parameter than in the echocardiographic measures investigated in this study.
Furthermore, MPITDI increased significantly with worsening systolic function determined by all the echocardiographic measures of systolic function (LVEF, GLS or GL SR s), whereas MPIConv only increased significantly with worsening LVEF (Table 4). However, both MPITDI and MPIConv increased with worsening diastolic function determined by the measures of diastolic function (e’ or GL SR e) (Table 4). Neither MPITDI nor MPIConv correlated significantly with E/e’ (Table 4). This may be due to the fact that E/e’ is an echocardiographic measure which correlates well with the LV end diastolic pressure (LVEDP), but is not a sensitive measure of an ailing diastolic function when LVEDP is normal. Likewise, the current guidelines recommend the evaluation of the value e’ (not E/e’) as the first step in the assessment of grading diastolic dysfunction[30]. Additionally, we have previously demonstrated MPITDI to be independently associated with the conventional echocardiographic measures of systolic and diastolic function (LVEF and e')[7]. In addition, in the present study we demonstrate that MPITDI, but not MPIConv, displays an ailing systolic and diastolic function, as determined by the comparison with 2D-speckle tracking echocardiographic measures (GLS, GL SR s and GL SR e). Our and previous results illustrate that an ailing systolic or diastolic performance can be detected by an increasing value of MPI when assessed by TDI. We found when the MPITDI was increased in our validation population (group B) above the reference limit obtained from the healthy general population (group A), the probability of identifying an impaired echocardiographic examination, defined by either an impaired systolic and/or diastolic function, was 100%, illustrated by a positive predictive value of 100% (Table 5). Additionally, no one with a normal echocardiography in our validation population had an MPI TDI above our defined reference value illustrated by specificity of 100% (Table 5). Furthermore, MPITDI seem superior to MPIConv in the detection of an ailing systolic or diastolic performance regardless of evaluation with conventional echocardiographic, novel echocardiographic or invasive measures.
Limitations
The inhabitants of Denmark and the study population contributing to the normal values are primarily Caucasian, which limits the generalizability of our findings to other general populations with another race composition.
Our invasive validation population was small, comprised only 44 individuals, which limits our study. Nevertheless, this was a larger study group than can be found in previous studies which evaluate the association of cardiac time intervals with invasive measures of systolic and diastolic function[27,31].
The echocardiograms in group A and B were obtained and analyzed with almost a decade apart why the methods of assessing systolic and diastolic function differ between the two cohorts. These differences, together with the fact that group B consists of patients suspected of ischemic heart disease who underwent coronary angiography and group A consist of healthy participants from the general population, limits the comparability between the two groups. However, the aim of the present study was not to compare the two groups but rather to define normal values of cardiac time intervals obtained by TDI M-mode from the general population without known cardiovascular disease and to evaluate the association of MPITDI and MPIconv with established invasive measures of systolic and diastolic function.
Conclusion
The normal values of cardiac time intervals deteriorated with increasing age and differed between genders, displaying that woman, in general, exhibit better cardiac function. MPITDI (but not MPIConv) is significantly associated with most invasive and established echocardiographic measures of systolic and diastolic function.
Author Contributions
Conceived and designed the experiments: TBS RM JSJ. Analyzed the data: TBS RM JSJ MdK FJO SG. Contributed reagents/materials/analysis tools: TBS RM JSJ MdK FJO SG. Wrote the paper: TBS RM JSJ MdK FJO SG.
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