open access

Vol 25, No 2 (2018)
Original articles — Clinical cardiology
Submitted: 2017-07-27
Accepted: 2017-09-29
Published online: 2017-10-18
Get Citation

Myocardial strain characteristics and outcomes after transcatheter aortic valve replacement

Dominik Buckert1, Raid Tibi1, Maciej Cieslik1, Michael Radermacher1, Yang-Yang Qu1, Volker Rasche1, Peter Bernhardt1, Vinzenz Hombach1, Wolfgang Rottbauer1, Jochen Wöhrle1
DOI: 10.5603/CJ.a2017.0121
·
Pubmed: 29064540
·
Cardiol J 2018;25(2):203-212.
Affiliations
  1. University Hospital Ulm, Albert-Einstein-Allee 23, 89081 Ulm, Germany

open access

Vol 25, No 2 (2018)
Original articles — Clinical cardiology
Submitted: 2017-07-27
Accepted: 2017-09-29
Published online: 2017-10-18

Abstract

 Background: Objective of this study was to make an assessment of standard functional and defor­mation parameters (strain) in patients after transcatheter aortic valve replacement (TAVR) by cardiac magnetic resonance imaging (CMR) and the evaluation of their prognostic impact.

Methods: Patients undergoing TAVR received CMR on a 1.5 T whole-body scanner at 3 months after the procedure. Deformation parameters (strain, strain rate, velocity, displacement) were assessed in lon­gitudinal, circumferential and radial orientation using a feature tracking approach. Primary outcome measure was defined according to Valve Academic Research Consortium-2 (VARC-2) criteria.

Results: Eighty-three patients formed the study population. Deformation parameters were significantly reduced in all three orientations for strain (longitudinal: –12.1 ± 5.4% vs. –15.9 ± 1.96%, p < 0.0001; radial: 34.4 ± 15.3% vs. 47.2 ± 11.4%, p < 0.0001; circumferential: –16.8 ± 4.3% vs. –21.1 ± 2.5%, p < 0.0001) and strain rate (longitudinal: –0.79 ± 0.33%/s vs. –0.91 ± 0.23%/s, p = 0.043; radial: 2.5 ± 1.2%/s vs. 2.9 ± 0.9%, p = 0.067; circumferential: –1.1 ± 0.6%/s vs. –1.3 ± 0.3%/s, p = 0.006) in comparison to a healthy control population. Median follow-up was 614 days. During this period, 13 endpoints occurred (cumulative event rate of 10.7%). Patients with event by trend exhibited poorer strain and strain rate in longitudinal and radial orientation without reaching statistical significance (longitudinal strain: –11.2 ± 5.4% vs. –12.3 ± 5.4%, p = 0.52; longitudinal strain rate: –0.73 ± ± 0.23%/s vs. 0.80 ± 0.35%/s, p = 0.53; radial strain: 29.5 ± 19.6% vs. 35.2 ± 14.5%, p = 0.24; radial strain rate: 2.2 ± 1.6%/s vs. 2.6 ± 1.2%/s, p = 0.31).

Conclusions: Assessment of left ventricular deformation parameters by CMR revealed functional abnormalities in comparison to healthy controls. Prognostic significance remains to be further investi­gated.  

Abstract

 Background: Objective of this study was to make an assessment of standard functional and defor­mation parameters (strain) in patients after transcatheter aortic valve replacement (TAVR) by cardiac magnetic resonance imaging (CMR) and the evaluation of their prognostic impact.

Methods: Patients undergoing TAVR received CMR on a 1.5 T whole-body scanner at 3 months after the procedure. Deformation parameters (strain, strain rate, velocity, displacement) were assessed in lon­gitudinal, circumferential and radial orientation using a feature tracking approach. Primary outcome measure was defined according to Valve Academic Research Consortium-2 (VARC-2) criteria.

Results: Eighty-three patients formed the study population. Deformation parameters were significantly reduced in all three orientations for strain (longitudinal: –12.1 ± 5.4% vs. –15.9 ± 1.96%, p < 0.0001; radial: 34.4 ± 15.3% vs. 47.2 ± 11.4%, p < 0.0001; circumferential: –16.8 ± 4.3% vs. –21.1 ± 2.5%, p < 0.0001) and strain rate (longitudinal: –0.79 ± 0.33%/s vs. –0.91 ± 0.23%/s, p = 0.043; radial: 2.5 ± 1.2%/s vs. 2.9 ± 0.9%, p = 0.067; circumferential: –1.1 ± 0.6%/s vs. –1.3 ± 0.3%/s, p = 0.006) in comparison to a healthy control population. Median follow-up was 614 days. During this period, 13 endpoints occurred (cumulative event rate of 10.7%). Patients with event by trend exhibited poorer strain and strain rate in longitudinal and radial orientation without reaching statistical significance (longitudinal strain: –11.2 ± 5.4% vs. –12.3 ± 5.4%, p = 0.52; longitudinal strain rate: –0.73 ± ± 0.23%/s vs. 0.80 ± 0.35%/s, p = 0.53; radial strain: 29.5 ± 19.6% vs. 35.2 ± 14.5%, p = 0.24; radial strain rate: 2.2 ± 1.6%/s vs. 2.6 ± 1.2%/s, p = 0.31).

Conclusions: Assessment of left ventricular deformation parameters by CMR revealed functional abnormalities in comparison to healthy controls. Prognostic significance remains to be further investi­gated.  

Get Citation

Keywords

cardiac magnetic resonance imaging, strain imaging, cardiac mechanics, severe aortic stenosis, transcatheter aortic valve replacement, outcomes and prognosis

About this article
Title

Myocardial strain characteristics and outcomes after transcatheter aortic valve replacement

Journal

Cardiology Journal

Issue

Vol 25, No 2 (2018)

Pages

203-212

Published online

2017-10-18

Page views

3554

Article views/downloads

1524

DOI

10.5603/CJ.a2017.0121

Pubmed

29064540

Bibliographic record

Cardiol J 2018;25(2):203-212.

Keywords

cardiac magnetic resonance imaging
strain imaging
cardiac mechanics
severe aortic stenosis
transcatheter aortic valve replacement
outcomes and prognosis

Authors

Dominik Buckert
Raid Tibi
Maciej Cieslik
Michael Radermacher
Yang-Yang Qu
Volker Rasche
Peter Bernhardt
Vinzenz Hombach
Wolfgang Rottbauer
Jochen Wöhrle

References (40)
  1. Coffey S, Cairns BJ, Iung B. The modern epidemiology of heart valve disease. Heart. 2016; 102(1): 75–85.
  2. Vahanian A, Alfieri O, Andreotti F, et al. ESC Committee for Practice Guidelines (CPG), Joint Task Force on the Management of Valvular Heart Disease of the European Society of Cardiology (ESC), European Association for Cardio-Thoracic Surgery (EACTS). Guidelines on the management of valvular heart disease (version 2012): the Joint Task Force on the Management of Valvular Heart Disease of the European Society of Cardiology (ESC) and the European Association for Cardio-Thoracic Surgery (EACTS). Eur J Cardiothorac Surg. 2012; 42(4): S1–44.
  3. Leon MB, Smith CR, Mack MJ, et al. Transcatheter or Surgical Aortic-Valve Replacement in Intermediate-Risk Patients. N Engl J Med. 2016; 374: 1609–1620.
  4. Adams DH, Popma JJ, Reardon MJ, et al. Transcatheter aortic-valve replacement with a self-expanding prosthesis. N Engl J Med. 2014; 370(19): 1790–1798.
  5. Holmes DR, et al. Jr, Mack MJ, Kaul S 2012 ACCF/AATS/SCAI/STS expert consensus document on transcatheter aortic valve replacement: developed in collabration with the American Heart Association, American Society of Echocardiography, European Association for Cardio-Thoracic Surgery, Heart Failure Society of America, Mended Hearts, Society of Cardiovascular Anesthesiologists, Society of Cardiovascular Computed Tomography, and Society for Cardiovascular Magnetic Resonance. J Thorac Cardiovasc Surg. 2012; 144: e29–84.
  6. Tamburino C, Capodanno D, Ramondo A, et al. Incidence and predictors of early and late mortality after transcatheter aortic valve implantation in 663 patients with severe aortic stenosis. Circulation. 2011; 123(3): 299–308.
  7. Thomas M, Schymik G, Walther T, et al. One-year outcomes of cohort 1 in the Edwards SAPIEN Aortic Bioprosthesis European Outcome (SOURCE) registry: the European registry of transcatheter aortic valve implantation using the Edwards SAPIEN valve. Circulation. 2011; 124(4): 425–433.
  8. Moat NE, Ludman P, de Belder MA, et al. Long-term outcomes after transcatheter aortic valve implantation in high-risk patients with severe aortic stenosis: the U.K. TAVI (United Kingdom Transcatheter Aortic Valve Implantation) Registry. J Am Coll Cardiol. 2011; 58(20): 2130–2138.
  9. Rodés-Cabau J, Webb JG, Cheung A, et al. Long-term outcomes after transcatheter aortic valve implantation: insights on prognostic factors and valve durability from the Canadian multicenter experience. J Am Coll Cardiol. 2012; 60(19): 1864–1875.
  10. Hendel RC, Patel MR, Kramer CM, et al. American College of Cardiology Foundation Quality Strategic Directions Committee Appropriateness Criteria Working Group, American College of Radiology, Society of Cardiovascular Computed Tomography, Society for Cardiovascular Magnetic Resonance, American Society of Nuclear Cardiology, North American Society for Cardiac Imaging, Society for Cardiovascular Angiography and Interventions, Society of Interventional Radiology. ACCF/ACR/SCCT/SCMR/ASNC/NASCI/SCAI/SIR 2006 appropriateness criteria for cardiac computed tomography and cardiac magnetic resonance imaging: a report of the American College of Cardiology Foundation Quality Strategic Directions Committee Appropriateness Criteria Working Group, American College of Radiology, Society of Cardiovascular Computed Tomography, Society for Cardiovascular Magnetic Resonance, American Society of Nuclear Cardiology, North American Society for Cardiac Imaging, Society for Cardiovascular Angiography and Interventions, and Society of Interventional Radiology. J Am Coll Cardiol. 2006; 48(7): 1475–1497.
  11. Zamorano JL, Bax JJ, Rademakers FE. Evaluation of Systolic and Diastolic LV Function. The ESC Textbook of Cardiovascular Imaging. Springer, New York 2010: 307–320.
  12. Buckert D, Dewes P, Walcher T, et al. Intermediate-term prognostic value of reversible perfusion deficit diagnosed by adenosine CMR: a prospective follow-up study in a consecutive patient population. JACC Cardiovasc Imaging. 2013; 6(1): 56–63.
  13. Buckert D, Kelle S, Buss S, et al. Left ventricular ejection fraction and presence of myocardial necrosis assessed by cardiac magnetic resonance imaging correctly risk stratify patients with stable coronary artery disease: a multi-center all-comers trial. Clin Res Cardiol. 2017; 106(3): 219–229.
  14. Hombach V, Merkle N, Bernhard P, et al. Prognostic significance of cardiac magnetic resonance imaging: Update 2010. Cardiol J. 2010; 17(6): 549–557.
  15. Claus P, Omar AM, Pedrizzetti G, et al. Tissue tracking technology for assessing cardiac mechanics: principles, normal values, and clinical applications. JACC Cardiovasc Imaging. 2015; 8(12): 1444–1460.
  16. Pedrizzetti G, Claus P, Kilner PJ, et al. Principles of cardiovascular magnetic resonance feature tracking and echocardiographic speckle tracking for informed clinical use. J Cardiovasc Magn Reson. 2016; 18(1): 51.
  17. Pandis D, Sengupta PP, Castillo JG, et al. Assessment of longitudinal myocardial mechanics in patients with degenerative mitral valve regurgitation predicts postoperative worsening of left ventricular systolic function. J Am Soc Echocardiogr. 2014; 27(6): 627–638.
  18. Reant P, Reynaud A, Pillois X, et al. Comparison of resting and exercise echocardiographic parameters as indicators of outcomes in hypertrophic cardiomyopathy. J Am Soc Echocardiogr. 2015; 28(2): 194–203.
  19. Quarta CC, Solomon SD, Uraizee I, et al. Left ventricular structure and function in transthyretin-related versus light-chain cardiac amyloidosis. Circulation. 2014; 129(18): 1840–1849.
  20. Nishimura RA, Otto CM, Bonow RO, et al. 2014 AHA/ACC guideline for the management of patients with valvular heart disease: executive summary: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. J Am Coll Cardiol. 2014; 63: 2438–88.
  21. Kramer CM, Barkhausen J, Flamm SD, et al. Society for Cardiovascular Magnetic Resonance Board of Trustees Task Force on Standardized Protocols. Standardized cardiovascular magnetic resonance (CMR) protocols 2013 update. J Cardiovasc Magn Reson. 2013; 15: 91.
  22. Schulz-Menger J, Bluemke DA, Bremerich J, et al. Standardized image interpretation and post processing in cardiovascular magnetic resonance: Society for Cardiovascular Magnetic Resonance (SCMR) board of trustees task force on standardized post processing. J Cardiovasc Magn Reson. 2013; 15: 35.
  23. Pedrizzetti G, Claus P, Kilner PJ, et al. Principles of cardiovascular magnetic resonance feature tracking and echocardiographic speckle tracking for informed clinical use. J Cardiovasc Magn Reson. 2016; 18(1): 51.
  24. Kappetein AP, Head SJ, Généreux P, et al. Updated standardized endpoint definitions for transcatheter aortic valve implantation: the Valve Academic Research Consortium-2 consensus document. EuroIntervention. 2012; 8(7): 782–795.
  25. Thygesen K, Alpert JS, Jaffe AS, et al. Third universal definition of myocardial infarction. Eur Heart J. 2012; 33: 2551–67.
  26. Anderson RP. First publications from the Society of Thoracic Surgeons National Database. Ann Thorac Surg. 1994; 57(1): 6–7.
  27. Roques F, Nashef SA, Michel P, et al. Risk factors and outcome in European cardiac surgery: analysis of the EuroSCORE multinational database of 19030 patients. Eur J Cardiothorac Surg. 1999; 15(6): 816–22; discussion 822.
  28. Weidemann F, Jamal F, Sutherland GR, et al. Myocardial function defined by strain rate and strain during alterations in inotropic states and heart rate. Am J Physiol Heart Circ Physiol. 2002; 283(2): H792–H799.
  29. Clemmensen TS, Eiskjær H, Løgstrup BB, et al. Left ventricular global longitudinal strain predicts major adverse cardiac events and all-cause mortality in heart transplant patients. J Heart Lung Transplant. 2017; 36(5): 567–576.
  30. Dahou A, Bartko PE, Capoulade R, et al. Usefulness of global left ventricular longitudinal strain for risk stratification in low ejection fraction, low-gradient aortic stenosis: results from the multicenter True or Pseudo-Severe Aortic Stenosis study. Circ Cardiovasc Imaging. 2015; 8(3): e002117.
  31. Thavendiranathan P, Grant AD, Negishi T, et al. Reproducibility of echocardiographic techniques for sequential assessment of left ventricular ejection fraction and volumes: application to patients undergoing cancer chemotherapy. J Am Coll Cardiol. 2013; 61(1): 77–84.
  32. Macron L, Lairez O, Nahum J, et al. Impact of acoustic window on accuracy of longitudinal global strain: a comparison study to cardiac magnetic resonance. Eur J Echocardiogr. 2011; 12(5): 394–399.
  33. Buss SJ, Breuninger K, Lehrke S, et al. Assessment of myocardial deformation with cardiac magnetic resonance strain imaging improves risk stratification in patients with dilated cardiomyopathy. Eur Heart J Cardiovasc Imaging. 2015; 16(3): 307–315.
  34. Yang LiT, Yamashita E, Nagata Y, et al. Prognostic value of biventricular mechanical parameters assessed using cardiac magnetic resonance feature-tracking analysis to predict future cardiac events. J Magn Reson Imaging. 2017; 45(4): 1034–1045.
  35. Delgado V, Tops LF, van Bommel RJ, et al. Strain analysis in patients with severe aortic stenosis and preserved left ventricular ejection fraction undergoing surgical valve replacement. Eur Heart J. 2009; 30(24): 3037–3047.
  36. Buckert D, Cieslik M, Tibi R, et al. Longitudinal strain assessed by cardiac magnetic resonance correlates to hemodynamic findings in patients with severe aortic stenosis and predicts positive remodeling after transcatheter aortic valve replacement. Clin Res Cardiol. 2017 [Epub ahead of print].
  37. Dinh W, Nickl W, Smettan J, et al. Reduced global longitudinal strain in association to increased left ventricular mass in patients with aortic valve stenosis and normal ejection fraction: a hybrid study combining echocardiography and magnetic resonance imaging. Cardiovasc Ultrasound. 2010; 8: 29.
  38. Bouleti C, Himbert D, Iung B, et al. Long-term outcome after transcatheter aortic valve implantation. Heart. 2015; 101(12): 936–942.
  39. Arnold SV, Afilalo J, Spertus JA, et al. Prediction of Poor Outcome After Transcatheter Aortic Valve Replacement. J Am Coll Cardiol. 2016; 68(17): 1868–1877.
  40. Reardon MJ, Van Mieghem NM, Popma JJ, et al. SURTAVI Investigators. Surgical or Transcatheter Aortic-Valve Replacement in Intermediate-Risk Patients. N Engl J Med. 2017; 376(14): 1321–1331.

Regulations

Important: This website uses cookies. More >>

The cookies allow us to identify your computer and find out details about your last visit. They remembering whether you've visited the site before, so that you remain logged in - or to help us work out how many new website visitors we get each month. Most internet browsers accept cookies automatically, but you can change the settings of your browser to erase cookies or prevent automatic acceptance if you prefer.

By VM Media Group sp. z o.o., Grupa Via Medica, ul. Świętokrzyska 73, 80–180 Gdańsk, Poland
tel.:+48 58 320 94 94, fax:+48 58 320 94 60, e-mail: viamedica@viamedica.pl