Left ventricular 12 segmental strain imaging predicts response to cardiac resynchronization therapy

Ying-Xue Dong1, Jae K Oh, Yan-Zong Yang

  • 1Department of Medicine, Mayo Clinic College of Medicine, Rochester, MN, USA.

Insights

The standard deviation of time to peak myocardial strain (Tε-SD) in 12 segments is a promising predictor for cardiac resynchronization therapy (CRT) response. This echocardiographic parameter can help identify patients likely to benefit from CRT, improving treatment selection.

Area of Science:

  • Cardiology
  • Echocardiography
  • Heart Failure Management

Background:

  • High rates of non-response to cardiac resynchronization therapy (CRT) necessitate improved patient selection.
  • Echocardiographic parameters are being investigated to predict CRT response.
  • Identifying responders is crucial for optimizing heart failure treatment.

Purpose of the Study:

  • To identify echocardiographic parameters that predict response to cardiac resynchronization therapy (CRT).
  • To evaluate the utility of strain patterns in predicting CRT outcomes.

Main Methods:

  • Prospective study of 45 heart failure patients receiving CRT-D.
  • Echocardiographic parameters, including strain patterns (Tε-SD), were assessed pre- and post-CRT.
  • Response defined as ≥15% decrease in left ventricular end-systolic volume (LVESV) at 6 months.

Main Results:

  • 48.9% of patients responded to CRT, showing significant improvements in NYHA class, LVEDV, and 6-minute walk distance.
  • Responders exhibited higher interventricular mechanical delay and Tε-SD compared to non-responders.
  • Multivariate analysis identified Tε-SD as a significant predictor of CRT response (OR = 1.02, P = 0.02).

Conclusions:

  • Left ventricular 12-segment strain imaging, specifically Tε-SD, is a promising echocardiographic tool for predicting CRT response.
  • This parameter can aid in selecting patients who are most likely to benefit from CRT.
  • Further validation of strain imaging for CRT patient selection is warranted.
Abstract

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