Speckle-Tracking Echocardiographic Strain Analysis Reliably Estimates Degree of Acute LV Unloading During Mechanical LV Support by Impella

Nadjib Hammoudi, Shin Watanabe, Olympia Bikou, Alexandre Ceccaldi, Kenneth Fish, Kelly P. Yamada, Satoshi Miyashita, Guillaume Lebreton, Roger J. Hajjar, Kiyotake Ishikawa

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

Abstract

Non-invasive means of evaluating appropriate cardiac unloading remain to be established. We hypothesized that myocardial deformation assessed by echocardiographic speckle-tracking strain analysis can reliably estimate the degree of left ventricular (LV) unloading under mechanical circulatory support. A total of 24 Yorkshire pigs underwent Impella-mediated acute LV unloading 1–2 weeks after myocardial infarction (MI). Echocardiographic and invasive pressure-volume measurements were used to evaluate the degree of LV unloading. Pressure-volume analysis before and after LV unloading exhibited a significant decrease in stroke work (3399 ± 1440 to 1244 ± 659 mmHg ml, p < 0.001), suggesting reduced external cardiac work. Both longitudinal strain (− 14.6 ± 4.1% to − 10.6 ± 2.3%, p < 0.001) and circumferential strain (− 18.7 ± 6.1% to − 9.3 ± 3.5%, p < 0.001) decreased after LV unloading, and there were linear relationships between stroke work and echocardiographic longitudinal (r = − 0.61, p < 0.001) as well as circumferential strains (r = − 0.75, p < 0.001). Echocardiographic LV strain analysis offers a non-invasive assessment of LV unloading in subacute MI.

Original languageEnglish
Pages (from-to)135-141
Number of pages7
JournalJournal of Cardiovascular Translational Research
Volume12
Issue number2
DOIs
StatePublished - 15 Apr 2019

Keywords

  • CS
  • Contraction
  • Ischemic heart failure
  • LS
  • Mechanical support
  • Sub-acute MI

Fingerprint

Dive into the research topics of 'Speckle-Tracking Echocardiographic Strain Analysis Reliably Estimates Degree of Acute LV Unloading During Mechanical LV Support by Impella'. Together they form a unique fingerprint.

Cite this