Skip to main content

Risk Stratification Beyond Left Ventricular Ejection Fraction: Role of Cardiovascular Magnetic Resonance

  • Chapter
  • First Online:
Clinical Controversies in Device Therapy for Cardiac Arrhythmias
  • 249 Accesses

Abstract

Sudden cardiac death (SCD) is a major health problem worldwide. The majority of cases are due to ventricular tachycardia (VT) or ventricular fibrillation (VF). The left ventricular ejection fraction (LVEF) has been adopted as a criterion for the risk stratification of patients at risk of SCD and for the prescription of implantable cardioverter defibrillator (ICD) therapy. However, most patients succumbing to SCD fall outside current indications for primary prevention ICD implantation and most ICD recipients do not receive therapy from the device. Cardiovascular magnetic resonance (CMR), the gold standard for the characterization of myocardial phenotypes, can identify myocardial scar, a substrate of ventricular arrhythmias. This review focuses on how CMR can contribute to the arrhythmic risk stratification and how it may help in selecting patients for an ICD.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 16.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Goldberger JJ, Cain ME, Hohnloser SH, Kadish AH, Knight BP, Lauer MS, American Heart Association/American College of Cardiology Foundation/Heart Rhythm Society Scientific Statement on Noninvasive Risk Stratification Techniques for Identifying Patients at Risk for Sudden Cardiac Death, et al. A scientific statement from the American Heart Association Council on Clinical Cardiology Committee on Electrocardiography and Arrhythmias and Council on Epidemiology and Prevention. J Am Coll Cardiol. 2008;52(14):1179–99. https://doi.org/10.1016/j.jacc.2008.05.003.

    Article  PubMed  Google Scholar 

  2. de Vreede-Swagemakers JJ, Gorgels AP, Dubois-Arbouw WI, van Ree JW, Daemen MJ, Houben LG, et al. Out-of-hospital cardiac arrest in the 1990’s: a population-based study in the Maastricht area on incidence, characteristics and survival. J Am Coll Cardiol. 1997;30(6):1500–5.

    Article  PubMed  Google Scholar 

  3. Bayes de Luna A, Coumel P, Leclercq JF. Ambulatory sudden cardiac death: mechanisms of production of fatal arrhythmia on the basis of data from 157 cases. Am Heart J. 1989;117(1):151–9.

    Article  CAS  PubMed  Google Scholar 

  4. Gang UJO, Jøns C, Jørgensen RM, Abildstrøm SZ, Haarbo J, Messier MD, et al. Heart rhythm at the time of death documented by an implantable loop recorder. EP Europace. 2010;12(2):254–60. https://doi.org/10.1093/europace/eup383.

    Article  PubMed  Google Scholar 

  5. Moss AJ, Greenberg H, Case RB, Zareba W, Hall WJ, Brown MW, et al. Long-term clinical course of patients after termination of ventricular tachyarrhythmia by an implanted defibrillator. Circulation. 2004;110(25):3760–5. https://doi.org/10.1161/01.cir.0000150390.04704.b7.

    Article  PubMed  Google Scholar 

  6. Wellens HJ, Schwartz PJ, Lindemans FW, Buxton AE, Goldberger JJ, Hohnloser SH, et al. Risk stratification for sudden cardiac death: current status and challenges for the future. Eur Heart J. 2014;35(25):1642–51. https://doi.org/10.1093/eurheartj/ehu176.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Marwick TH. Ejection fraction pros and cons. JACC state-of-the-art review. J Am Coll Cardiol. 2018;72(19):2360–79. https://doi.org/10.1016/j.jacc.2018.08.2162.

    Article  PubMed  Google Scholar 

  8. Stecker EC, Vickers C, Waltz J, Socoteanu C, John BT, Mariani R, et al. Population-based analysis of sudden cardiac death with and without left ventricular systolic dysfunction: two-year findings from the Oregon Sudden Unexpected Death Study. J Am Coll Cardiol. 2006;47(6):1161–6. https://doi.org/10.1016/j.jacc.2005.11.045.

    Article  PubMed  Google Scholar 

  9. Reinier K, Narayanan K, Uy-Evanado A, Teodorescu C, Chugh H, Mack WJ, et al. Electrocardiographic markers and the left ventricular ejection fraction have cumulative effects on risk of sudden cardiac death. JACC Clin Electrophysiol. 2015;1(6):542–50. https://doi.org/10.1016/j.jacep.2015.07.010.

    Article  PubMed  PubMed Central  Google Scholar 

  10. Gorgels AP, Gijsbers C, de Vreede-Swagemakers J, Lousberg A, Wellens HJ. Out-of-hospital cardiac arrest–the relevance of heart failure. The Maastricht Circulatory Arrest Registry. Eur Heart J. 2003;24(13):1204–9.

    Article  PubMed  Google Scholar 

  11. Multicenter Postinfarction Research G. Risk stratification and survival after myocardial infarction. N Engl J Med. 1983;309(6):331–6. https://doi.org/10.1056/NEJM198308113090602.

    Article  Google Scholar 

  12. Rouleau JL, Talajic M, Sussex B, Potvin L, Warnica W, Davies RF, et al. Myocardial infarction patients in the 1990s–their risk factors, stratification and survival in Canada: the Canadian Assessment of Myocardial Infarction (CAMI) study. J Am Coll Cardiol. 1996;27(5):1119–27. https://doi.org/10.1016/0735-1097(95)00599-4.

    Article  CAS  PubMed  Google Scholar 

  13. La Rovere MT, Bigger JT Jr, Marcus FI, Mortara A, Schwartz PJ. Baroreflex sensitivity and heart-rate variability in prediction of total cardiac mortality after myocardial infarction. ATRAMI (Autonomic Tone and Reflexes After Myocardial Infarction) Investigators. Lancet. 1998;351(9101):478–84.

    Article  PubMed  Google Scholar 

  14. Exner DV, Kavanagh KM, Slawnych MP, Mitchell LB, Ramadan D, Aggarwal SG, et al. Noninvasive risk assessment early after a myocardial infarction the REFINE study. J Am Coll Cardiol. 2007;50(24):2275–84. https://doi.org/10.1016/j.jacc.2007.08.042.

    Article  PubMed  Google Scholar 

  15. Bauer A, Barthel P, Schneider R, Ulm K, Muller A, Joeinig A, et al. Improved stratification of autonomic regulation for risk prediction in post-infarction patients with preserved left ventricular function (ISAR-risk). Eur Heart J. 2009;30(5):576–83. https://doi.org/10.1093/eurheartj/ehn540.

    Article  PubMed  Google Scholar 

  16. Moss AJ, Zareba W, Hall WJ, Klein H, Wilber DJ, Cannom DS, et al. Prophylactic implantation of a defibrillator in patients with myocardial infarction and reduced ejection fraction. N Engl J Med. 2002;346(12):877–83. https://doi.org/10.1056/NEJMoa013474.

    Article  PubMed  Google Scholar 

  17. Bardy GH, Lee KL, Mark DB, Poole JE, Packer DL, Boineau R, et al. Amiodarone or an implantable cardioverter–defibrillator for congestive heart failure. N Engl J Med. 2005;352(3):225–37. https://doi.org/10.1056/NEJMoa043399.

    Article  CAS  PubMed  Google Scholar 

  18. Fishman GI, Chugh SS, DiMarco JP, Albert CM, Anderson ME, Bonow RO, et al. Sudden cardiac death prediction and prevention report from a National Heart, Lung, and Blood Institute and Heart Rhythm Society workshop. Circulation. 2010;122(22):2335–48. https://doi.org/10.1161/CIRCULATIONAHA.110.976092.

    Article  PubMed  PubMed Central  Google Scholar 

  19. de Leeuw N, Ruiter DJ, Balk AH, de Jonge N, Melchers WJ, Galama JM. Histopathologic findings in explanted heart tissue from patients with end-stage idiopathic dilated cardiomyopathy. Transpl Int. 2001;14(5):299–306.

    Article  PubMed  Google Scholar 

  20. Unverferth DV, Baker PB, Swift SE, Chaffee R, Fetters JK, Uretsky BF, et al. Extent of myocardial fibrosis and cellular hypertrophy in dilated cardiomyopathy. Am J Cardiol. 1986;57(10):816–20.

    Article  CAS  PubMed  Google Scholar 

  21. Nattel S, Maguy A, Le Bouter S, Yeh YH. Arrhythmogenic ion-channel remodeling in the heart: heart failure, myocardial infarction, and atrial fibrillation. Physiol Rev. 2007;87(2):425–56. https://doi.org/10.1152/physrev.00014.2006.

    Article  CAS  PubMed  Google Scholar 

  22. Stevenson WG, Friedman PL, Sager PT, Saxon LA, Kocovic D, Harada T, et al. Exploring postinfarction reentrant ventricular tachycardia with entrainment mapping. J Am Coll Cardiol. 1997;29(6):1180–9. https://doi.org/10.1016/S0735-1097(97)00065-X.

    Article  CAS  PubMed  Google Scholar 

  23. de Baker JMT, Coronel R, Tasseron S, Wilde AAM, Opthof T, Janse MJ, et al. Ventricular tachycardia in the infarcted, Langendorff-perfused human heart: role of the arrangement of surviving cardiac fibers. J Am Coll Cardiol. 1990;15(7):1594–607. https://doi.org/10.1016/0735-1097(90)92832-M.

    Article  Google Scholar 

  24. Marchlinski FE, Callans DJ, Gottlieb CD, Zado E. Linear ablation lesions for control of unmappable ventricular tachycardia in patients with ischemic and nonischemic cardiomyopathy. Circulation. 2000;101(11):1288–96.

    Article  CAS  PubMed  Google Scholar 

  25. Allman KC, Shaw LJ, Hachamovitch R, Udelson JE. Myocardial viability testing and impact of revascularization on prognosis in patients with coronary artery disease and left ventricular dysfunction: a meta-analysis. J Am Coll Cardiol. 2002;39:1151–8.

    Article  PubMed  Google Scholar 

  26. Wu E, Judd RM, Vargas JD, Klocke FJ, Bonow RO, Kin RJ. Visualisation of presence, location and transmural extent of healed Q-wave and non-Q-wave myocardial infarction. Lancet. 2001;357:21–8.

    Article  CAS  PubMed  Google Scholar 

  27. Kim RJ, Wu E, Rafael A, Chen E-L, Parker MA, Simonetti O, et al. The use of contrast-enhanced magnetic resonance imaging to identify reversible myocardial dysfunction. N Engl J Med. 2000;343:1445–53.

    Article  CAS  PubMed  Google Scholar 

  28. Bellenger NG, Yousef Z, Kajappan K, Marber MS, Pennell DJ. Infarct viability influences ventricular remodelling after late recanalisation of an occluded infarct related artery. Heart. 2005;91:478–83.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Bello D, Shah DJ, Farah GM, Di Luzio S, Parker MA, Johnson M, et al. Gadolinium cardiovascular magnetic resonance predicts myocardial dysfunction and remodelling in patients with heart failure undergoing beta-blocker therapy. Circulation. 2003;108:1945–53.

    Article  CAS  PubMed  Google Scholar 

  30. Klem I, Weinsaft JW, Bahnson TD, Hegland D, Kim HW, Hayes B, et al. Assessment of myocardial scarring improves risk stratification in patients evaluated for cardiac defibrillator implantation. J Am Coll Cardiol. 2012;60(5):408–20. https://doi.org/10.1016/j.jacc.2012.02.070.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Morishima I, Sone T, Tsuboi H, Mukawa H, Uesugi M, Morikawa S, et al. Risk stratification of patients with prior myocardial infarction and advanced left ventricular dysfunction by gated myocardial perfusion SPECT imaging. J Nucl Cardiol. 2008;15(5):631–7. https://doi.org/10.1016/j.nuclcard.2008.03.009.

    Article  PubMed  Google Scholar 

  32. Roes SD, Borleffs CJ, van der Geest RJ, Westenberg JJ, Marsan NA, Kaandorp TA, et al. Infarct tissue heterogeneity assessed with contrast-enhanced MRI predicts spontaneous ventricular arrhythmia in patients with ischemic cardiomyopathy and implantable cardioverter-defibrillator. Circ Cardiovasc Imaging. 2009;2(3):183–90. https://doi.org/10.1161/circimaging.108.826529.

    Article  PubMed  Google Scholar 

  33. Schmidt A, Azevedo CF, Cheng A, Gupta SN, Bluemke DA, Foo TK, et al. Infarct tissue heterogeneity by magnetic resonance imaging identifies enhanced cardiac arrhythmia susceptibility in patients with left ventricular dysfunction. Circulation. 2007;115(15):2006–14. https://doi.org/10.1161/circulationaha.106.653568.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Ganesan AN, Gunton J, Nucifora G, McGavigan AD, Selvanayagam JB. Impact of late gadolinium enhancement on mortality, sudden death and major adverse cardiovascular events in ischemic and nonischemic cardiomyopathy: a systematic review and meta-analysis. Int J Cardiol. 2018;254:230–7. https://doi.org/10.1016/j.ijcard.2017.10.094.

    Article  PubMed  Google Scholar 

  35. Wu KC, Weiss RG, Thiemann DR, Kitagawa K, Schmidt A, Dalal D, et al. Late gadolinium enhancement by cardiovascular magnetic resonance heralds an adverse prognosis in nonischemic cardiomyopathy. J Am Coll Cardiol. 2008;51(25):2414–21.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Kuruvilla S, Adenaw N, Katwal AB, Lipinski MJ, Kramer CM, Salerno M. Late gadolinium enhancement on cardiac magnetic resonance predicts adverse cardiovascular outcomes in nonischemic cardiomyopathy: a systematic review and meta-analysis. Circ Cardiovasc Imaging. 2014;7(2):250–8. https://doi.org/10.1161/circimaging.113.001144.

    Article  PubMed  Google Scholar 

  37. Jablonowski R, Chaudhry U, van der Pals J, Engblom H, Arheden H, Heiberg E, et al. Cardiovascular magnetic resonance to predict appropriate implantable cardioverter defibrillator therapy in ischemic and nonischemic cardiomyopathy patients using late gadolinium enhancement border zone: comparison of four analysis methods. Circ Cardiovasc Imaging. 2017;10(9) https://doi.org/10.1161/circimaging.116.006105.

  38. McCrohon JA, Moon JC, Prasad SK, McKenna WJ, Lorenz CH, Coats AJ. Differentiation of heart failure related to dilated cardiomyopathy and coronary artery disease using gadolinium-enhanced cardiovascular magnetic resonance. Circulation. 2003;108 https://doi.org/10.1161/01.cir.0000078641.19365.4c.

    Article  CAS  PubMed  Google Scholar 

  39. Nazarian S, Bluemke DA, Lardo AC, Zviman MM, Watkins SP, Dickfeld TL, et al. Magnetic resonance assessment of the substrate for inducible ventricular tachycardia in nonischemic cardiomyopathy. Circulation. 2005;112(18):2821–5. https://doi.org/10.1161/circulationaha.105.549659.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Gulati A, Jabbour A, Ismail TF, Guha K, Khwaja J, Raza S, et al. Association of fibrosis with mortality and sudden cardiac death in patients with nonischemic dilated cardiomyopathy. JAMA. 2013;309(9):896–908. https://doi.org/10.1001/jama.2013.1363.

    Article  CAS  PubMed  Google Scholar 

  41. Leyva F, Taylor RJ, Foley PW, Umar F, Mulligan LJ, Patel K, et al. Left ventricular midwall fibrosis as a predictor of mortality and morbidity after cardiac resynchronization therapy in patients with nonischemic cardiomyopathy. J Am Coll Cardiol. 2012;60(17):1659–67. https://doi.org/10.1016/j.jacc.2012.05.054.

    Article  PubMed  Google Scholar 

  42. Leyva F, Zegard A, Acquaye E, Gubran C, Taylor R, Foley PWX, et al. Outcomes of cardiac resynchronization therapy with or without defibrillation in patients with nonischemic cardiomyopathy. J Am Coll Cardiol. 2017;70(10):1216–27. https://doi.org/10.1016/j.jacc.2017.07.712.

    Article  PubMed  Google Scholar 

  43. Fernandez-Armenta J, Berruezo A, Andreu D, Camara O, Silva E, Serra L, et al. Three-dimensional architecture of scar and conducting channels based on high resolution ce-CMR: insights for ventricular tachycardia ablation. Circ Arrhythm Electrophysiol. 2013;6(3):528–37. https://doi.org/10.1161/circep.113.000264.

    Article  PubMed  Google Scholar 

  44. Acosta J, Fernandez-Armenta J, Borras R, Anguera I, Bisbal F, Marti-Almor J, et al. Scar characterization to predict life-threatening arrhythmic events and sudden cardiac death in patients with cardiac resynchronization therapy: the GAUDI-CRT study. JACC Cardiovasc Imaging. 2018;11(4):561–72. https://doi.org/10.1016/j.jcmg.2017.04.021.

    Article  PubMed  Google Scholar 

  45. Lee DC, Goldberger JJ. CMR for sudden cardiac death risk stratification: are we there yet? JACC Cardiovasc Imaging. 2013;6(3):345–8. https://doi.org/10.1016/j.jcmg.2012.12.006.

    Article  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Francisco Leyva .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Leyva, F. (2019). Risk Stratification Beyond Left Ventricular Ejection Fraction: Role of Cardiovascular Magnetic Resonance. In: Steinberg, J., Epstein, A. (eds) Clinical Controversies in Device Therapy for Cardiac Arrhythmias . Springer, Cham. https://doi.org/10.1007/978-3-030-22882-8_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-22882-8_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-22881-1

  • Online ISBN: 978-3-030-22882-8

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics