Log in

Improved risk-stratification in heart failure patients with mid-range to severe abnormalities of QRS duration and systolic function using mechanical dyssynchrony assessed by myocardial perfusion-gated SPECT

  • ORIGINAL ARTICLE
  • Published:
Journal of Nuclear Cardiology Aims and scope

Abstract

Background

The use of left ventricular mechanical dyssynchrony (LVMD), which has been reported to be responsible for unfavorable outcomes, might improve conventional risk-stratification by clinical indices including QRS duration (QRSd) and systolic dysfunction in patients with heart failure (HF).

Methods and results

Following measurements of 12-lead QRSd and left ventricular ejection fraction (LVEF), three-dimensional (3-D) LVMD was evaluated as a standard deviation (phase SD) of regional mechanical systolic phase angles by gated myocardial perfusion imaging in 829 HF patients. Patients were followed up for a mean period of 37 months with a primary endpoint of lethal cardiac events (CEs). In an overall multivariate Cox proportional hazards model, phase SDs were identified as significant prognostic determinants independently. The patients were divided into 4 groups by combining with the cut-off values of LVEF (35% and 50%) and QRSd (130 ms and 150 ms). The groups with lower LVEF and prolonged QRSd more frequently had CEs than did the other groups. Patient groups with LVEF < 35% and with 35% ≦ LVEF < 50% were differentiated into low-risk and high-risk categories by using an optimal phase SD cut-off value of both QRSd thresholds.

Conclusions

3-D LVMD can risk-stratify HF patients with mid-range as well as severe abnormalities of QRSd and systolic dysfunction.

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

Access this article

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Germany)

Instant access to the full article PDF.

Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6

Similar content being viewed by others

Abbreviations

LVMD:

Left ventricular mechanical dyssynchrony

QRSd:

QRS duration

HF:

Heart failure

NYHA:

New York Heart Association

LVEF:

Left ventricular ejection fraction

CRT:

Cardiac resynchronization therapy

ICD:

Implantable cardioverter defibrillator

Hb:

Hemoglobin

BNP:

Brain natriuretic peptide

eGFR:

Estimated glomerular filtration rate

References

  1. Epstein AE, DiMarco JP, Ellenbogen KA, Estes NA, Freedman RA, Gettes LS, et al. American College of Cardiology Foundation; American Heart Association Task Force on Practice Guidelines; Heart Rhythm Society. 2012 ACCF/AHA/HRS Focused Update Incorporated Into the ACCF/AHA/HRS 2008 Guidelines for Device-Based Therapy of Cardiac Rhythm Abnormalities. J Am Coll Cardiol 2013;61:e6-75.

    Article  Google Scholar 

  2. Ponikowski P, Voors AA, Anker SD, Bueno H, Cleland JGF, Coats AJS, et al. 2016 ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure. Eur Heart J. 2016;37:2129-200.

    Article  Google Scholar 

  3. Tsutsui H, Isobe Mitsuaki, Ito Hiroshi, Okumura Ken, Ono Minoru, Kitakaze Masafumi, et al. Guidelines for diagnosis and treatment of acute and chronic heart failure. Circ J 2019;83:2084-184.

    Article  Google Scholar 

  4. Abraham WT, Fisher WG, Smith AL, Delurgio DB, Leon AR, Loh E, et al. Cardiac resynchronization in chronic heart failure. N Engl J Med 2002;346:1845-53.

    Article  Google Scholar 

  5. Fox DJ, Fitzpatrick AP, Davidson NC. Optimisation of cardiac resynchronisation therapy: Addressing the problem of ‘non-responders’. Heart 2005;91:1000-2.

    Article  CAS  Google Scholar 

  6. Chung ES, Leon AR, Tavazzi L, Sun PG, Nihoyannopoulos P, Merlino J, et al. Results of the predictors of response to crt (prospect) trial. Circulation 2008;117:2608-16.

    Article  Google Scholar 

  7. Hawkins NM, Petrie MC, Burgess MI, McMurray JJ. Selecting patients for cardiac resynchronization therapy: the fallacy of echocardiographic dyssynchrony. J Am Coll Cardiol 2009;53:1944-59.

    Article  Google Scholar 

  8. Chen J, Henneman MM, Trimble MA, Borges-Neto S, Iskandrian AE, et al. Assessment of left ventricular mechanical dyssynchrony by phase analysis of ECG-gated SPECT myocardial perfusion imaging. J Nucl Cardiol 2008;15:127-36.

    Article  Google Scholar 

  9. Wang L, Yang MF, Cai M, Zhao SH, He ZX, Wang YH, et al. Prognostic significance of left ventricular dyssynchrony by phase analysis of gated SPECT in medically treated patients with dilated cardiomyopathy. Clin Nucl Med 2013;38:510-5.

    Article  Google Scholar 

  10. Zafrir N, Nevzorov R, Bental T, Strasberg B, Gutstein A, Mats I, et al. Prognostic value of left ventricular dyssynchrony by myocardial perfusion-gated SPECT in patients with normal and abnormal left ventricular functions. J Nucl Cardiol 2014;21:532-40.

    Article  Google Scholar 

  11. Nakajima K, Okuda K, Matsuo S, Kiso K, Kinuya S, Gracia EV, et al. Comparison of phase dyssynchrony analysis using gated myocardial perfusion imaging with four software programs: Based on the Japanese Society of Nuclear Medicine working group normal database. J Nucl Cardiol 2017;24:611-21.

    Article  Google Scholar 

  12. Doi T, Nakata T, Yuda S, Hashimoto A. Synergistic prognostic implications of left ventricular mechanical dyssynchrony and impaired cardiac sympathetic nerve activity in heart failure patients with reduced left ventricular ejection fraction. Eur Heart J Cardiovasc Imaging 2018;19:74-83.

    Article  Google Scholar 

  13. Doai T, Nakata T, Yuda S, Hashimoto A. Synergistic prognostication of left ventricular hypertrophy and three-dimensional mechanical dyssynchrony in heart failure. ESC Heart Fail 2020;7:361-70.

    Google Scholar 

  14. Bertaglia E, Reggiani A, Palmisano P, D’Onofrio A, Simone AD, Caico SI, et al. The stricter criteria for Class I CRT indication suggested by the 2016 ESC Guidelines reliably exclude patients with a worse prognosis in comparison with the 2013 ESC indication criteria. Int J Cardiol 2018;273:162-7.

    Article  Google Scholar 

  15. D’Andrea A, Mele D, Nistri S, Riegler L, Galderisi M, Agricola E, et al. The prognostic impact of dynamic ventricular dyssynchrony in patients with idiopathic dilated cardiomyopathy and narrow QRS. Eur Heart J Cardiovasc Imaging 2013;14:183-9.

    Article  Google Scholar 

  16. Wang NC, Maggioni AP, Konstam MA, Zannad F, Krasa HB, Burnett JC Jr, et al. Efficacy of Vasopressin Antagonism in Heart Failure Outcome Study With Tolvaptan (EVEREST) Investigators: Clinical implications of QRS duration in patients hospitalized with worsening heart failure and reduced left ventricular ejection fraction. JAMA 2008;299:2656-66.

    Article  CAS  Google Scholar 

  17. Bacharova L, Szathmary V, Potse M, Mateasik A. Computer simulation of ECG manifestations of left ventricular electrical remodeling. J Electrocardiol 2012;45:630-4.

    Article  Google Scholar 

  18. Carità P, Corrado E, Pontone G, Curnis A, Bontempi L, Novo G, et al. Non-responders to cardiac resynchronization therapy: Insights from multimodality imaging and electrocardiography. A brief review. Int J Cardiol 2016;225:402-7.

    Article  Google Scholar 

  19. Bax JJ, Delgado V, Sogaard P, Singh JP, Abraham WT, Borer JS, et al. Prognostic implications of left ventricular global longitudinal strain in heart failure patients with narrow QRS complex treated with cardiac resynchronization therapy: A subanalysis of the randomized EchoCRT trial. Eur Heart J 2017;38:720-6.

    Article  CAS  Google Scholar 

  20. Shah RM, Patel D, Molnar J, Ellenbogen KA, Koneru JN, et al. Cardiac-resynchronization therapy in patients with systolic heart failure and QRS interval ≤ 130 ms: Insights from a meta-analysis. Europace 2015;17:267-73.

    Article  Google Scholar 

  21. Ruschitzka F, Abraham WT, Singh JP, Bax JJ, Borer JS, Brugada J, et al. EchoCRT Study Group: Cardiac-resynchronization therapy in heart failure with a narrow QRS complex. N Engl J Med 2013;369:1395-405.

    Article  CAS  Google Scholar 

  22. Zweerink A, van Everdingen WM, Nijveldt R, Salden OA, Meine M, Maass AH, et al. Strain imaging to predict response to cardiac resynchronization therapy: A systematic comparison of strain parameters using multiple imaging techniques. ESC Heart Fail 2018;5:1130-40.

    Article  Google Scholar 

  23. Fulati Z, Liu Y, Sun N, Kang Y, Su Y, Chen H, et al. Speckle tracking echocardiography analyses of myocardial contraction efficiency predict response for cardiac resynchronization therapy. Cardiovasc Ultrasound 2018;16:30.

    Article  Google Scholar 

Download references

Acknowledgements

The authors sincerely thank the staff of Nuclear Medicine Laboratory, Teine-Ki**nkai Hospital (Sapporo), Hokkaido, Japan for their clinical services and their technical assistance.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Takahiro Doi MD, PhD.

Ethics declarations

Disclosures

Conflict of interest to be declared for the study.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Funding: There was no specific funding.

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.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary material 1 (PPTX 169 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Doi, T., Nakata, T., Noto, T. et al. Improved risk-stratification in heart failure patients with mid-range to severe abnormalities of QRS duration and systolic function using mechanical dyssynchrony assessed by myocardial perfusion-gated SPECT. J. Nucl. Cardiol. 29, 1611–1625 (2022). https://doi.org/10.1007/s12350-021-02554-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12350-021-02554-5

Keywords

Navigation