Fast manual long-axis strain assessment provides optimized cardiovascular event prediction following myocardial infarction

Andreas Schuster, Sören J. Backhaus, Thomas Stiermaier, Johannes T. Kowallick, Alina Stulle, Alexander Koschalka, Joachim Lotz, Shelby Kutty, Boris Bigalke, Matthias Gutberlet, Gerd Hasenfuß, Holger Thiele, Ingo Eitel

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Aims: Cardiovascular magnetic resonance feature tracking (CMR-FT) global longitudinal strain (GLS) provides incremental prognostic value following acute myocardial infarction (AMI) but requires substantial post-processing. Alternatively, manual global long-axis strain (LAS) can be easily assessed from standard steady state free precession images. We aimed to define the prognostic value of LAS in a large multicentre study in patients following AMI. Methods and results: A total of 1235 patients with myocardial infarction [n = 795 with ST-elevation myocardial infarction (STEMI) and 440 with non-ST-elevation myocardial infarction (NSTEMI)] underwent cardiovascular magnetic resonance imaging after primary percutaneous coronary intervention in eight centres across Germany. Assessment of LAS was performed in a blinded core-laboratory measuring the systolic shortening between the epicardial apical border and the middle of a line connecting the origins of the mitral leaflets. Primary clinical endpoint was the occurrence of major adverse clinical events (MACE) including death, reinfarction, and congestive heart failure within 1 year after AMI. During 1-year follow-up, 76 patients suffered from MACE. Impaired LAS was associated with higher MACE occurrence both in STEMI (P < 0.001) and NSTEMI (P = 0.001) patients. Association of LAS remained significant (P = 0.017) after correction for univariate significant parameters for MACE prediction. C-statistics revealed incremental value of additional LAS assessment for optimized event prediction compared with left ventricular ejection fraction (MACE P = 0.044; mortality P = 0.013) and a combination of established clinical and imaging parameters (MACE P = 0.084; mortality P = 0.027), but not CMR-FT GLS (MACE P = 0.075; mortality P = 0.380). Conclusion: LAS provides software independent, widely available, easy and fast approximation of longitudinal left ventricular shortening early after reperfused AMI with incremental prognostic value beyond established risk stratification parameters.

Original languageEnglish (US)
Pages (from-to)1262-1270
Number of pages9
JournalEuropean heart journal cardiovascular Imaging
Volume20
Issue number11
DOIs
StatePublished - Nov 1 2019

Fingerprint

Myocardial Infarction
Mortality
Magnetic Resonance Spectroscopy
Percutaneous Coronary Intervention
Stroke Volume
Multicenter Studies
Germany
Software
Heart Failure
Magnetic Resonance Imaging
ST Elevation Myocardial Infarction
Non-ST Elevated Myocardial Infarction

Keywords

  • cardiovascular magnetic resonance
  • imaging biomarkers
  • myocardial infarction
  • prognosis
  • strain

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Cardiology and Cardiovascular Medicine

Cite this

Schuster, A., Backhaus, S. J., Stiermaier, T., Kowallick, J. T., Stulle, A., Koschalka, A., ... Eitel, I. (2019). Fast manual long-axis strain assessment provides optimized cardiovascular event prediction following myocardial infarction. European heart journal cardiovascular Imaging, 20(11), 1262-1270. https://doi.org/10.1093/ehjci/jez077

Fast manual long-axis strain assessment provides optimized cardiovascular event prediction following myocardial infarction. / Schuster, Andreas; Backhaus, Sören J.; Stiermaier, Thomas; Kowallick, Johannes T.; Stulle, Alina; Koschalka, Alexander; Lotz, Joachim; Kutty, Shelby; Bigalke, Boris; Gutberlet, Matthias; Hasenfuß, Gerd; Thiele, Holger; Eitel, Ingo.

In: European heart journal cardiovascular Imaging, Vol. 20, No. 11, 01.11.2019, p. 1262-1270.

Research output: Contribution to journalArticle

Schuster, A, Backhaus, SJ, Stiermaier, T, Kowallick, JT, Stulle, A, Koschalka, A, Lotz, J, Kutty, S, Bigalke, B, Gutberlet, M, Hasenfuß, G, Thiele, H & Eitel, I 2019, 'Fast manual long-axis strain assessment provides optimized cardiovascular event prediction following myocardial infarction', European heart journal cardiovascular Imaging, vol. 20, no. 11, pp. 1262-1270. https://doi.org/10.1093/ehjci/jez077
Schuster, Andreas ; Backhaus, Sören J. ; Stiermaier, Thomas ; Kowallick, Johannes T. ; Stulle, Alina ; Koschalka, Alexander ; Lotz, Joachim ; Kutty, Shelby ; Bigalke, Boris ; Gutberlet, Matthias ; Hasenfuß, Gerd ; Thiele, Holger ; Eitel, Ingo. / Fast manual long-axis strain assessment provides optimized cardiovascular event prediction following myocardial infarction. In: European heart journal cardiovascular Imaging. 2019 ; Vol. 20, No. 11. pp. 1262-1270.
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AU - Stulle, Alina

AU - Koschalka, Alexander

AU - Lotz, Joachim

AU - Kutty, Shelby

AU - Bigalke, Boris

AU - Gutberlet, Matthias

AU - Hasenfuß, Gerd

AU - Thiele, Holger

AU - Eitel, Ingo

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