|Year : 2019 | Volume
| Issue : 3 | Page : 238-243
Evaluation of left ventricular mechanical dyssynchrony with phase analysis in end-stage renal disease patients with normal gated SPECT-MPI
Dharmender Malik1, Bhagwant Rai Mittal1, Ashwani Sood1, Ashish Sharma2, Madan Parmar1, Komalpreet Kaur1, Ajay Bahl3
1 Department of Nuclear Medicine, PGIMER, Chandigarh, India
2 Department of Renal Surgery, PGIMER, Chandigarh, India
3 Department of Cardiology, PGIMER, Chandigarh, India
|Date of Submission||09-May-2018|
|Date of Acceptance||04-Jun-2018|
|Date of Web Publication||9-Aug-2019|
Department of Nuclear Medicine, PGIMER, Chandigarh - 160 012
| Abstract|| |
Phase analysis using gated single-photon emission computed tomography myocardial perfusion imaging (SPECT-MPI) is a relatively new tool for the assessment of ventricular synchrony. Hypertension, diabetes, renal diseases, and dyslipidemia may affect the phase parameters though their impact is not well understood. The present study aimed to evaluate the incidence of the left ventricular mechanical dyssynchrony (LVMD) in end-stage renal disease (ESRD) patients with normal gated SPECT-MPI and QRS duration (<120 ms) on electrocardiogram. Data of 129 patients (86 males) referred for gated SPECT-MPI for their pretransplant evaluation with normal gated stress SPECT-MPI (SSS <3 and ejection fraction ≥50%) were included in the study analysis. Documented clinical history along with confounding factors such as hypertension, dyslipidemia, smoking, and alcoholism were evaluated. Left ventricle functional (end-diastolic, end-systolic, and LV myocardial volume) and phase parameters (phase standard deviation [PSD], phase bandwidth [PBW] and entropy) were calculated using the QPS-QGS program. LVMD was noted in 36 (28%) of ESRD patients with normal QRS duration and gated SPECT-MPI. The mean attenuated corrected LV myocardial volume, ejection fraction, mean PSD, and PBW values were 84.3 ± 38.1 ml, 65.3 ± 13.5%, 9.8° ± 3.9°, and 61.4° ± 24.7°, respectively. The LV myocardial volume shows statistically significant correlation with the phase parameters (r = 0.31–0.47; P < 0.001). LVMD is present in a significant number of ESRD patients, and its extent is more with increase in LV myocardial volume. It may have an additional role in risk-stratification for cardiovascular disease in ESRD patients.
Keywords: End-stage renal disease, gated single-photon emission computed tomography myocardial perfusion imaging, left ventricular dyssynchrony, phase histogram bandwidth, phase standard deviation
|How to cite this article:|
Malik D, Mittal BR, Sood A, Sharma A, Parmar M, Kaur K, Bahl A. Evaluation of left ventricular mechanical dyssynchrony with phase analysis in end-stage renal disease patients with normal gated SPECT-MPI. World J Nucl Med 2019;18:238-43
|How to cite this URL:|
Malik D, Mittal BR, Sood A, Sharma A, Parmar M, Kaur K, Bahl A. Evaluation of left ventricular mechanical dyssynchrony with phase analysis in end-stage renal disease patients with normal gated SPECT-MPI. World J Nucl Med [serial online] 2019 [cited 2019 Sep 22];18:238-43. Available from: http://www.wjnm.org/text.asp?2019/18/3/238/256345
| Introduction|| |
The end-stage renal disease (ESRD) patients with cardiovascular disease have a poor prognosis and is one of the leading causes (contributing around 45%) of premature deaths. Some authors consider ESRD patients as coronary artery disease (CAD) risk equivalents., In a meta-analysis of nine studies, the commonly employed stress myocardial perfusion imaging in chronic kidney disease patients (potential kidney transplant recipients) had shown a wide range with pooled sensitivity and specificity of only 74% and 70% respectively for detecting the significant CAD that would even be lower in ESRD patients. There is a need for additional markers in ESRD cohort to improve the accuracy of single-photon emission computed tomography myocardial perfusion imaging (SPECT-MPI). Cardiac dyssynchrony might be a potential marker contributing to the high incidence of sudden cardiac deaths in ESRD patients., Cardiac dyssynchrony is the uncoordinated, asynchronous contraction of myocardial muscles which may occur either due to electrical dyssynchrony (QRS >120 ms) or contractile disparities also known as mechanical dyssynchrony. Patients with left ventricular mechanical dyssynchrony (LVMD) have independently increased mortality risk compared to the general population. LVMD reduces cardiac systolic function with increased oxygen consumption and later on may lead to arrhythmia as a complication. LVMD has been shown to strongly correlate with cardiac hemodynamic parameters and adverse cardiac events., The gated SPECT-MPI is one of the noninvasive imaging methods which offers a fully automated and reproducible way to perform the phase analysis for assessment of LVMD from the generally available SPECT-MPI data in addition to simultaneous assessment of LV myocardial ischemia/scar and functional parameters.,,, LVMD may serve as a predictive factor of both the cardiac outcome and all-cause mortality in ESRD patients. The aim of the present study was to evaluate the prevalence of LVMD in ESRD patients with normal gated SPECT-MPI and QRS duration on the surface electrocardiogram.
| Methods|| |
The study population consisted of patients with ESRD who underwent stress SPECT-MPI as a part of their prerenal transplant evaluation. The patients with normal gated myocardial perfusion imaging findings (SSS <3 and LV ejection fraction ≥50%) and narrow QRS duration (<120 ms) were included in this study. Patients with diabetes mellitus, known cardiac disease, perfusion defect(s), arrhythmia on gating, and wall motion abnormality in gated stress SPECT-MPI were excluded from the study. This retrospective, observational, and nonexperimental study was carried out in the nuclear medicine department of tertiary care institute. The study was duly approved by the Institute Ethics Committee vide letter No. INT/IEC/2018/000335.
Gated myocardial perfusion single-photon emission computed tomography acquisition
All patients underwent 99mTc-sestamibi 1-day stress- first or stress only gated SPECT-MPI protocol according to the American Society of Nuclear Cardiology guidelines routinely followed in our department. Stress was induced with intravenous adenosine infusion at rate of 140 μg/kg/min for 6 min duration and radiopharmaceutical (6.3 MBq/kg body weight) injected at 3rd min in all patients. Gated SPECT-MPI poststress acquisition after a period of 30–45 min was performed on a dual-head camera SPECT/CT system (Philips Bright view XCT, Philips Medical Systems, Milpitas, CA, USA) in the supine position with a low-dose CT scan acquisition for attenuation correction. The rest studies were not performed in this cohort to avoid radiation exposure as poststress studies were normal.
Stress gated images were acquired using a 15% window centered over the 140 KeV photopeak of 99mTc with parallel hole, low-energy, and high-resolution collimators. The matrix size used was 64 × 64 with maximum zoom of 1.46. Thirty-two projections of 20 s each were taken per head, for a total of 64 images in step and shoot method for 180° orbit starting from 45° right anterior to 135° left posterior. In addition, contour orbit was made in a counterclockwise direction to verify the free execution of the rotation, without touching the patient or the couch.
The PHASE tool of the QPS-QGS program (version 7.2; Cedars-Sinai Medical Center, Los Angeles, USA) was used for analysis of phase parameters on poststress acquired data. The myocardial surfaces were presented using two dimensional ellipsoidal coordinate systems with 36 longitudes and 28 latitudes leading to 1008 surface sampling points. Myocardial contraction onset time was detected with changes observed in myocardial pulse quantity. The phase standard deviation (PSD), phase bandwidth (PBW), and LV entropy obtained from the phase analysis were evaluated, as they have been shown to identify the LVMD best. PSD represents the heterogeneity of LV myocardial contraction onset times and PBW stands for the distribution of time during which 95% of the LV myocardium starts contraction while LV entropy represents parameter of mechanical synchrony provided by QPS-QGS program, which is normalized to its maximum value and reported as a percentage ranging from 0% to 100% from complete order to disorder.
A descriptive analysis was performed using frequencies in the case of qualitative variables. On the other hand, quantitative variables with or without normal distribution (after applying the Kolmogorov–Smirnov normality test), were expressed by means and standard deviation. Correlations between continuous variables (LV volume with PSD, PBW, and entropy) were assessed by the Spearman's Rank correlation test and Pearson coefficient. Statistical analyses were performed using SPSS software (SPSS Version 22.0; IBM Corp, Armonk, NY, USA). The value P < 0.05 was taken as the limit to establish statistical significance.
| Results|| |
SPECT-MPI data from 392 patients with ESRD were analyzed retrospectively, and 129 patients (43 female) fulfilled the inclusion criteria for normal gated SPECT-MPI and LV ejection fraction >55%. The studied cohort had a mean age of 43.6 ± 11.7 years with male (67%) predominance. Twenty-three (18%) patients had a history of alcohol intake while 84 (65%) patients were hypertensive (blood pressure >140/90 mm Hg or on anti-hypertensive drugs) at the time of presentation. Clinical characteristics of the study population are presented in [Table 1]. For LV functions, the mean ejection fraction was 65.3 ± 13.5%, end-diastolic and end-systolic volumes were 99.9 ± 44.8 and 44.4 ± 28.1 ml, respectively. The mean attenuated corrected LV myocardial volume observed was 84.3 ± 38.1 ml [Table 2].
|Table 2: Left ventricle quantitative parameters of the end-stage renal disease patientsa|
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The mean values of PSD, PBW, and Entropy observed were 9.80°, 61.36°, and 51.88% respectively which were significantly higher (P < 0.01); [Table 3] compared to the control population (nondiabetic and nonchronic kidney disease patients with normal gated SPECT-MPI, the said data had been published previously).
|Table 3: Phase analysis data in the end-stage renal disease patients and its correlation with control population|
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Based on the cutoff value (greater than mean + 2SD) derived from control population in QPS-QGS program (11.7° and 45.6° for PSD and PBW, respectively), LVMD was observed in a significant number (36; 28%) of patients with ESRD. [Figure 1] shows the dataset of ESRD patient with normal gated SPECT-MPI and significant LV dyssynchrony. The PSD showed a significant negative correlation with the LV ejection fraction (r = −0.63; P < 0.001) while statistically significant positive correlation was observed with the end-systolic volume (r = 0.56; P < 0.001) and end-diastolic volume (r = 0.42; P < 0.001) [Figure 2]. These LV functional parameters show similar correlation with other phase parameters (i.e., PBW and entropy) also. Furthermore, scatter plots were drawn to find the correlation between attenuated corrected LV myocardial volume and phase parameters. The attenuated-corrected LV myocardial volume shows a statistically significant correlation with all the phase parameters (PSD, PBW, and entropy) with r value ranging from 0.31 to 0.47 [Figure 3].
|Figure 1: The representative dataset of a patient with ESRD with significant LVMD as suggested by the high PSD and PBW value (17° and 66° respectively) in the absence of any perfusion defect and preserved LV ejection fraction (~54%) and entropy observed was 60%|
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|Figure 2: Scatter plot diagrams showing the relationship of phase standard deviation with LV ejection fraction (a), end-systolic volume (b), and end-diastolic volume (c), using QPS-QGS program. The red line represents the regression line, and dotted red lines indicate 95% confidence limits for the regression line|
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|Figure 3: Scatter plot diagrams showing the relationship of attenuated corrected LV myocardial volume with phase standard deviation (a), phase bandwidth (b), and entropy (c) using QPS-QGS program. The red line represents the regression line, and dotted red lines indicate 95% confidence limits for the regression line|
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| Discussion|| |
Numbers of ancillary markers along with SPECT-MPI have been used for better prognostication and risk stratification in patients with suspected or diagnosed CAD; however, only few of them had been tested in the ESRD cohort. The additional markers may be useful in these high-risk patients given the low sensitivity and specificity of SPECT-MPI. The present study examined the prevalence of LVMD in ESRD patients with normal gated stress myocardial perfusion imaging and normal QRS duration (<120 ms) on the surface electrocardiogram. Statistically significant higher values of phase parameters were observed in the studied cohort. Phase analysis using QPS-QGS program revealed, LVMD in a significant number of ESRD patients in the absence of electrical dyssynchrony. There was predisposition of higher incidence of LVMD with increase in LV myocardial volume. A statistically signification correlation though of moderate magnitude (r = 0.31–0.47) was observed between the LV myocardial volume and different phase parameters [Figure 3].
Several echocardiographic (speckle tracking imaging and real-time three dimensional (3D) echocardiography) and cardiac MRI (myocardial tagging, 3D-tagged cardiac magnetic resonance [CMR], strain-coded CMR, and CMR tissue resynchronization imaging) based methods have been used in the past for assessment of LV dyssynchrony. However, echocardiography-based method has not proved effective in improving prediction of cardiac resynchronization therapy (CRT) response as suggested by recently published echocardiography-guided CRT study. While limitations with MRI-based methods include its inability to image patients with implanted devices, cost, and longer examination time. Phase analysis was first developed in 2005, and subsequent investigators were able to predict the CRT response in the population with ischemic and nonischemic cardiomyopathy using phase analysis of gated SPECT-MPI.,,
Aljaroudi et al. in their study in ESRD patients had shown the higher values of phase parameters with significant LVMD in ESRD patients compared to the control group, similar to the present study, even in the absence of electrical dyssynchrony and abnormal LV perfusion or function. However, 48% of ESRD patients in their study were suffering from type II diabetes mellitus, that itself was a confounding factor for the presence of LVMD observed in the study from Malik et.al. None of the patients in our study had diabetes mellitus thus eliminating its additive influence on phase parameters despite that LVMD was present in a significant number of ESRD patients (28%). Aljaroudi et al. did a meticulous study showing the impact of LVMD on cardiovascular outcomes in ESRD patients, where patients with higher PBW values (>62°) had poorer survival. Two-year mortality rate was four to seven times higher in patients with PBW >62° but with no additional high-risk features. Although Hage et al. had previously reported that the prolonged QRS (electrical dyssynchrony) was not associated with worse survival in patients with ESRD. These observations showed that LVMD is a better indicator of mortality than QRS duration and may have a role in risk-stratifying the patients.
Furthermore, a study involving the large cohort (more than 800 patients) had shown that LVMD indices (especially PBW) were independently associated with all-cause mortality and provided prognostic information beyond traditional MPI variables. LVMD has marked deleterious effects on ventricular pump function leading to prolonged contraction and reduced ejection time, delayed relaxation with reduced diastolic filling time and arrhythmia susceptibility. The presence of LVMD in ESRD patients may have the potential to contribute to the high incidence of cardiac events or deaths in this group. The main mechanism responsible for LVMD in these patients is not well understood but has been attributed to the presence of chronic volume overload and pulmonary venous hypertension which in turn leads to the right ventricular dilation, septal wall flattening with abnormal contraction and LV hypertrophy. The present study demonstrated the increased incidence of LVMD with increase in LV myocardial volume. A recent study using echocardiography showed that some of the indices of LVMD were preload dependent and could be improved with hemodialysis. However, no such study has been published using phase analysis. Furthermore, Wali et al. had shown that renal recipients with pretransplant LVEF <40% and congestive heart failure (CHF) showed significant improvement in LVEF at 12 months of posttransplant period using multigated radionuclide ventriculography. Posttransplant patients showed higher LVEF, better CHF grade, and increased survival with reversal of systolic heart failure. It would be interesting to explore further the effect of renal transplant on the indices of phase analysis in this cohort of patients where around one-third of patients with ESRD had significant LVMD shown by the present study.
| Conclusion|| |
The present study revealed LVMD in significant number of patients with ESRD in the absence of perfusion defect(s) and normal QRS duration. Attenuated-corrected LV myocardial volume was found to be significantly correlated with phase parameter (PSD, PBW, and entropy) showing that, there was increase in the incidence of LVMD with increase in LV myocardial mass in patients with ESRD. It may be recommended that phase analysis parameters be incorporated in SPECT-MPI reporting as risk stratification in ESRD patients, who undergo gated SPECT-MPI in their pretransplant workup.
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Conflicts of interest
There are no conflicts of interest.
| References|| |
Antman EM, Anbe DT, Armstrong PW, Bates ER, Green LA, Hand M, et al.
ACC/AHA guidelines for the management of patients with ST-elevation myocardial infarction – Executive summary: A report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Writing Committee to Revise the 1999 Guidelines for the Management of Patients with Acute Myocardial Infarction). Circulation 2004;110:588-636.
Hyre AD, Fox CS, Astor BC, Cohen AJ, Muntner P. The impact of reclassifying moderate CKD as a coronary heart disease risk equivalent on the number of US adults recommended lipid-lowering treatment. Am J Kidney Dis 2007;49:37-45.
Wang LW, Fahim MA, Hayen A, Mitchell RL, Baines L, Lord S, et al.
Cardiac testing for coronary artery disease in potential kidney transplant recipients. Cochrane Database Syst Rev 2011;12:CD008691.
Vanholder R, Massy Z, Argiles A, Spasovski G, Verbeke F, Lameire N, et al.
Chronic kidney disease as cause of cardiovascular morbidity and mortality. Nephrol Dial Transplant 2005;20:1048-56.
Bleyer AJ, Russell GB, Satko SG. Sudden and cardiac death rates in hemodialysis patients. Kidney Int 1999;55:1553-9.
Abu Daya H, Malhotra S, Soman P. Radionuclide assessment of left ventricular dyssynchrony. Cardiol Clin 2016;34:101-18.
Delgado V, van Bommel RJ, Bertini M, Borleffs CJ, Marsan NA, Arnold CT, et al.
Relative merits of left ventricular dyssynchrony, left ventricular lead position, and myocardial scar to predict long-term survival of ischemic heart failure patients undergoing cardiac resynchronization therapy. Circulation 2011;123:70-8.
Haghjoo M, Bagherzadeh A, Fazelifar AF, Haghighi ZO, Esmaielzadeh M, Alizadeh A, et al.
Prevalence of mechanical dyssynchrony in heart failure patients with different QRS durations. Pacing Clin Electrophysiol 2007;30:616-22.
Cheng A, Helm RH, Abraham TP. Pathophysiological mechanisms underlying ventricular dyssynchrony. Europace 2009;11 Suppl 5:v10-4.
Chen J, Garcia EV, Folks RD, Cooke CD, Faber TL, Tauxe EL, et al.
Onset of left ventricular mechanical contraction as determined by phase analysis of ECG-gated myocardial perfusion SPECT imaging: Development of a diagnostic tool for assessment of cardiac mechanical dyssynchrony. J Nucl Cardiol 2005;12:687-95.
Henneman MM, Chen J, Ypenburg C, Dibbets P, Bleeker GB, Boersma E, et al.
Phase analysis of gated myocardial perfusion single-photon emission computed tomography compared with tissue Doppler imaging for the assessment of left ventricular dyssynchrony. J Am Coll Cardiol 2007;49:1708-14.
Trimble MA, Velazquez EJ, Adams GL, Honeycutt EF, Pagnanelli RA, Barnhart HX, et al.
Repeatability and reproducibility of phase analysis of gated single-photon emission computed tomography myocardial perfusion imaging used to quantify cardiac dyssynchrony. Nucl Med Commun 2008;29:374-81.
Mukherjee A, Singh H, Patel C, Sharma G, Roy A, Naik N, et al.
Normal values of cardiac mechanical synchrony parameters using gated myocardial perfusion single-photon emission computed tomography: Impact of population and study protocol. Indian J Nucl Med 2016;31:255-9.
] [Full text]
AlJaroudi W, Aggarwal H, Venkataraman R, Heo J, Iskandrian AE, Hage FG, et al.
Impact of left ventricular dyssynchrony by phase analysis on cardiovascular outcomes in patients with end-stage renal disease. J Nucl Cardiol 2010;17:1058-64.
Henzlova MJ, Duvall WL, Einstein AJ, Travin MI, Verberne HJ. Erratum to: ASNC imaging guidelines for SPECT nuclear cardiology procedures: Stress, protocols, and tracers. J Nucl Cardiol 2016;23:640-2.
Malik D, Sood A, Parmar M, Mittal BR. Comparison of left ventricular phase parameters analysis between two software programs in patients with normal gated single-photon emission computed tomography-myocardial perfusion imaging. Indian J Nucl Med 2018;33:14-9.
] [Full text]
Ruschitzka F, Abraham WT, Singh JP, Bax JJ, Borer JS, Brugada J, et al.
Cardiac-resynchronization therapy in heart failure with a narrow QRS complex. N
Engl J Med 2013;369:1395-405.
Lardo AC, Abraham TP, Kass DA. Magnetic resonance imaging assessment of ventricular dyssynchrony: Current and emerging concepts. J Am Coll Cardiol 2005;46:2223-8.
Henneman MM, Chen J, Dibbets-Schneider P, Stokkel MP, Bleeker GB, Ypenburg C, et al.
Can LV dyssynchrony as assessed with phase analysis on gated myocardial perfusion SPECT predict response to CRT? J Nucl Med 2007;48:1104-11.
Mukherjee A, Patel CD, Naik N, Sharma G, Roy A. Quantitative assessment of cardiac mechanical dyssynchrony and prediction of response to cardiac resynchronization therapy in patients with nonischaemic dilated cardiomyopathy using gated myocardial perfusion SPECT. Nucl Med Commun 2015;36:494-501.
Aljaroudi W, Koneru J, Iqbal F, Aggarwal H, Heo J, Iskandrian AE, et al.
Left ventricular mechanical dyssynchrony by phase analysis of gated single photon emission computed tomography in end-stage renal disease. Am J Cardiol 2010;106:1042-7.
Malik D, Mittal B, Sood A, Parmar M, Kaur G, Bahl A. Left ventricular mechanical dyssynchrony assessment in long-standing type II diabetes mellitus patients with normal gated SPECT-MPI. J Nucl Cardiol 2018; doi: 10.1007/s12350-018-1208-9. [Epub ahead of print].
Hage FG, Smalheiser S, Zoghbi GJ, Perry GJ, Deierhoi M, Warnock D, et al.
Predictors of survival in patients with end-stage renal disease evaluated for kidney transplantation. Am J Cardiol 2007;100:1020-5.
Aggarwal H, AlJaroudi WA, Mehta S, Mannon R, Heo J, Iskandrian AE, et al.
The prognostic value of left ventricular mechanical dyssynchrony using gated myocardial perfusion imaging in patients with end-stage renal disease. J Nucl Cardiol 2014;21:739-46.
Reiter MJ, Landers M, Zetelaki Z, Kirchhof CJ, Allessie MA. Electrophysiological effects of acute dilatation in the isolated rabbit heart: Cycle length-dependent effects on ventricular refractoriness and conduction velocity. Circulation 1997;96:4050-6.
Murata T, Dohi K, Onishi K, Sugiura E, Fujimoto N, Ichikawa K, et al.
Role of haemodialytic therapy on left ventricular mechanical dyssynchrony in patients with end-stage renal disease quantified by speckle-tracking strain imaging. Nephrol Dial Transplant 2011;26:1655-61.
Wali RK, Wang GS, Gottlieb SS, Bellumkonda L, Hansalia R, Ramos E, et al.
Effect of kidney transplantation on left ventricular systolic dysfunction and congestive heart failure in patients with end-stage renal disease. J Am Coll Cardiol 2005;45:1051-60.
[Figure 1], [Figure 2], [Figure 3]
[Table 1], [Table 2], [Table 3]