Abstract
Objective
To test whether phase analysis indices from SPECT-MPI for left ventricular mechanical dyssynchrony (LVMD) are predictors of major adverse cardiac events (MACEs) in long-standing diabetes mellitus (DM).
Methods
A total of 136 DM patients with normal perfusion and left ventricular systolic functions were followed up for about two years and divided into two groups according to the presence and the absence of MACEs.
Result
Thirteen (9.5%) patients experienced MACEs during follow-up. Patients experiencing MACEs showed significantly higher phase standard deviation (PSD) and wider phase bandwidth (PBW) than those who did not. Moreover, both PSD and PBW showed significant correlations (r = 0.25 and 0.27; P < 0.05) with duration of DM. Logistic regression analysis revealed significant associations of DM duration, microvascular complications, and LVMD indices for predicting MACEs. Kaplan–Meier event-free survival analysis revealed significantly higher rate of MACEs (Logrank = 10.02; P = 0.001) in patients with high PSD and wide PBW. An overall fit model consisting of high-PSD and wide-PBW group was improved with the addition of microvascular complications (χ2 = 15.9; P = 0.03) and further by addition of DM duration of ≥ 15 years (χ2 = 24.3; P = 0.007) as variables.
Conclusion
LVMD indices are novel prognostic markers in diabetic patients with normal perfusion and left ventricular systolic functions and their increases in magnitudes with DM-duration and in the presence of microvascular complications.
Similar content being viewed by others
Abbreviations
- DM:
-
Diabetes mellitus
- LVMD:
-
Left ventricular mechanical dyssynchrony
- MACEs:
-
Major adverse cardiac events
- PSD:
-
Phase standard deviation
- PBW:
-
Phase bandwidth
- CAD:
-
Coronary artery disease
- DCM:
-
Diabetic cardiomyopathy
- TDI:
-
Tissue doppler imaging
- LVEF:
-
Left ventricle ejection fraction
- SPECT-MPI:
-
Single-photon emission computed tomography myocardial perfusion imaging
- CRT:
-
Cardiac resynchronization therapy
- LVD:
-
Left ventricular dyssynchrony
References
Roglic G. WHO Global report on diabetes: A summary. Int J Non-Commun Dis 2016;1:3-8.
Matheus AS, Tannus LR, Cobas RA, Palma CC, Negrato CA, Gomes MB. Impact of diabetes on cardiovascular disease: An update. Int J Hypertens 2013;2013:653789.
Centers for Disease Control and Prevention. National Diabetes Statistics Report, 2017. Atlanta, GA: Centers for Disease Control and Prevention, US Department of Health and Human Services; 2017.
de Simone G, Devereux RB, Chinali M, Lee ET, Galloway JM, Barac A, et al. Diabetes and incident heart failure in hypertensive and normotensive participants of the Strong Heart Study. J Hypertens 2010;28:353-60.
Lee A, Zhang Q, Yip G, Fang F, Liang Y, Xie J, et al. LV Mechanical dyssynchrony in heart failure with preserved ejection fraction complicating acute coronary syndrome. JACC 2011;4:348-57.
Yu C, Lin H, Zhang Q, Sanderson J. High prevalence of left ventricular systolic and diastolic dyssynchrony in patients with congestive heart failure and normal QRS duration. Heart 2003;89:45-60.
Wang J, Kurrelmeyer K, Torre-Amione G, Nagueh S. Systolic and diastolic dyssynchrony in patients with diastolic heart failure and the effect of medical therapy. J Am Coll Cardiol 2007;49:88-96.
Romero-Farina G, Aguadé-Bruix S, Candell-Riera J, Pizzi MN, García-Dorado D. Cut-off values of myocardial perfusion gated-SPECT phase analysis parameters of normal subjects, and conduction and mechanical cardiac diseases. J Nucl Cardiol 2015;22:1247-58.
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.
Samad Z, Atchley AE, Trimble MA, Sun JL, Shaw LK, Pagnanelli R, et al. Prevalence and predictors of mechanical dyssynchrony as defined by phase analysis in patients with left ventricular dysfunction undergoing gated SPECT myocardial perfusion imaging. J Nucl Cardiol 2011;18:24-30.
Zafrir N, Bental T, Strasberg B, Solodky A, Mats I, Gutstein A, et al. Yield of left ventricular dyssynchrony by gated spect MPI in patients with heart failure prior to implantable cardioverter defibrillator or cardiac resynchronization therapy with a defibrillator: Characteristics and prediction of cardiac outcome. J Nucl Cardiol 2017;24:122-9.
Goldberg AS, Alraies MC, Cerqueira MD, Jaber WA, Aljaroudi WA. Prognostic value of left ventricular mechanical dyssynchrony by phase analysis in patients with non-ischemic cardiomyopathy with ejection fraction 35-50% and QRS\150 ms. J Nucl Cardiol 2014;21:57-66.
Uebleis C, Hellweger S, Laubender RP, Becker A, Shon HY, Lehner S, et al. Left ventricular dyssynchrony assessed by gated SPECT phase analysis in an independent predictor of death in patients with advanced coronary artery disease and reduced left ventricular function not undergoing cardiac resynchronization therapy. Eur J Nucl Med Mol Imaging 2012;39:1561-9.
Aljaroudi W, Aggarwal H, Venkataraman R, Heo J, Iskandrian AE, Hage FG. 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.
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.
Mori H, Isobe S, Suzuki S, Unno K, Morimoto R, Kano N, et al. Prognostic value of left ventricular dyssynchrony evaluated by gated myocardial perfusion imaging in patients with chronic kidney disease and normal perfusion defect scores. J Nucl Cardiol 2017. https://doi.org/10.1007/s12350-017-0889-9.
Martinez-Ramirez HR, Cortes-Sanabria L, Rojas-Campos E, Barragan G, Alfaro G, Hernandez M, et al. How frequently the clinical practice recommendations for nephropathy are achieved in patients with type 2 diabetes mellitus in a primary health-care setting? Rev Invest Clin 2008;60:217-26.
Tesfaye S, Boulton AJ, Dyck PJ, Freeman R, Horowitz M, Kempler P, et al. Diabetic neuropathies: Update on definitions, diagnostic criteria, estimation of severity, and treatments. Diabetes Care 2010;33:2285-93.
Cheung N, Mitchell P, Wong TY. Diabetic retinopathy. Lancet 2010;376(9735):124-36.
Henzlova MJ, Duvall WL, Einstein AJ, Travin MI, Verberne HJ. ASNC imaging guidelines for SPECT nuclear cardiology procedures: Stress, protocols, and tracers. J Nucl Cardiol 2016;23:606-39.
Lehrke M, Marx N. Diabetes mellitus and heart failure. Am J Med 2017;130:40-50.
Bando YK, Murohara T. Diabetes-related heart failure. Circ J 2014;78:576-83.
Rubler S, Dlugash J, Yuceoglu YZ, Kumral T, Branwood AW, Grishman A. New type of cardiomyopathy associated with diabetic glomerulosclerosis. Am. J. Cardiol 1972;30:595-602.
Gilca GE, Stefanescu G, Badulescu O, Tanase DM, Bararu I, Ciocoiu M. Diabetic cardiomyopathy: Current approach and potential diagnostic and therapeutic targets. J Diabetes Res 2017;1310265:1-7.
Falcão-Pires I, Leite-Moreira AF. Diabetic cardiomyopathy: Understanding the molecular and cellular basis to progress in diagnosis and treatment. Heart Fail Rev 2012;17:325-44.
Berry C, Brett M, Stevenson K, McMurray JJ, Norrie J. Nature and prognostic importance of abnormal glucose tolerance and diabetes in acute heart failure. Heart 2008;94:296-304.
Bader H, Garrigue S, Lafitte S, Reuter S, Jaïs P, Haïssaguerre M, et al. Intra-left ventricular electromechanical asynchrony. A new independent predictor of severe cardiac events in heart failure patients. J Am Coll Cardiol 2004;43:248-56.
Cho GY, Song JK, Park WJ, Han SW, Choi SH, Doo YC, et al. Mechanical dyssynchrony assessed by tissue Doppler imaging is a powerful predictor of mortality in congestive heart failure with normal QRS duration. J Am Coll Cardiol 2005;46:2237-43.
Wolf P, Winhofer Y, Krssak M, Smajis S, Harreiter J, Kosi-Trebotic L, et al. Suppression of plasma free fatty acids reduces myocardial lipid content and systolic function in type 2 diabetes. Nutr Metab Cardiovasc Dis 2016;26:387-92.
van der Leeuw J, Beulens W, van Dieren S, et al. Novel biomarkers to improve the prediction of cardiovascular event risk in type 2 diabetes mellitus. J Am Heart Assoc 2016;5:e003048.
Hida S, Chikamori T, Tanaka H, Igarashi Y, Shiba C, Usui Y, et al. Diagnostic value of left ventricular dyssynchrony after exercise and at rest in the detection of multivessel coronary artery disease on single-photon emission computed tomography. Circ J 2012;76:1942-52.
Vigli de Kreutzenberg S, Fadini GP, Guzzinati S, Mazzucato M, Volpi A, Coracina A, et al. Carotid plaque calcification predicts future cardiovascular events in type 2 diabetes. Diabetes Care 2015;38:1937-44.
Emanuele NV. Duration of diabetes, glucose control and cardiovascular risk. Diabetologia 2010;53:214-5.
Noh M, Kwon H, Jung CH, Kwon SU, Kim MS, Lee WJ, et al. Impact of diabetes duration and degree of carotid artery stenosis on major adverse cardiovascular events: A single-center, retrospective, observational cohort study. Cardiovasc Diabetol 2017;16:74.
Ramanathan RS. Correlation of duration, hypertension and glycemic control with microvascular complications of diabetes mellitus at a tertiary care hospital. Integr Mol Med 2017;4:2-4.
Romero-Farina G. Aguade´-Bruix S. Analysis of ventricular synchrony: A complex puzzle. J Nucl Cardiol 2018. https://doi.org/10.1007/s12350-018-1252-5.
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.
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.
Disclosures
There is no potential conflict of interest to disclose.
Author information
Authors and Affiliations
Corresponding author
Additional information
The authors of this article have provided a PowerPoint file, available for download at SpringerLink, which summarises the contents of the paper and is free for re-use at meetings and presentations. Search for the article DOI on SpringerLink.com.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Malik, D., Mittal, B.R., Sood, A. et al. Prognostic value of left ventricular mechanical dyssynchrony indices in long-standing type II diabetes mellitus with normal perfusion and left ventricular systolic functions on SPECT-MPI. J. Nucl. Cardiol. 27, 1640–1648 (2020). https://doi.org/10.1007/s12350-018-1436-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12350-018-1436-z