Index of contractile asymmetry improves patient selection for CRT: a proof-of-concept study
Posted on 2019-10-11 - 05:36
Abstract Background Nearly one-third of heart failure (HF) patients do not respond to cardiac resynchronization therapy (CRT) despite having left bundle branch block (LBBB). The aim of the study was to investigate a novel method of quantifying left ventricular (LV) contractile asymmetry in HF. Methods Patients with HF and LBBB undergoing CRT (n = 89, 37.1% females, 68 ± 9 years, ischemic etiology in 61%, LV ejection fraction 27.1 ± 7.1%) were analyzed. LV longitudinal systolic strain rate values were extracted from curved anatomical M-mode plots of standard long-axis 2D-echocardiography images and cubic spline interpolation was used to generate a 3D-phantom. Index of contractile asymmetry (ICA) was calculated based on standard deviation of differences in strain rate of opposing walls. Average ICA was individually assessed pairwise in 12 opposing 30-degree LV sectors. Reduction in LV end-systolic volume (ESV) ≥15% after 6 months was considered as positive response to CRT. Results CRT response was found in 66 (74.2%) patients. Responders with both ischemic and non-ischemic cardiomyopathy had a higher and more extensive contractile asymmetry at baseline and achieved a greater ICA reduction after CRT than non-responders. Higher baseline ICA predicted higher degree and wider extent of ICA improvement. Also, both ICA at baseline and reduction of ICA correlated with the degree of ESV reduction after CRT. Conclusions Quantification of asymmetrical LV activation in 3D by ICA provides valuable insights into LV contraction in case of LBBB and is a promising tool for improved patient selection for CRT.
CITE THIS COLLECTION
Zaremba, Tomas; Tayal, Bhupendar; Riahi, Sam; Thøgersen, Anna; Bruun, Niels; Emerek, Kasper; et al. (2019). Index of contractile asymmetry improves patient selection for CRT: a proof-of-concept study. figshare. Collection. https://doi.org/10.6084/m9.figshare.c.4694774.v1
or
Select your citation style and then place your mouse over the citation text to select it.
SHARE
Usage metrics
Read the peer-reviewed publication

AUTHORS (10)
TZ
Tomas Zaremba
BT
Bhupendar Tayal
SR
Sam Riahi
AT
Anna Thøgersen
NB
Niels Bruun
KE
Kasper Emerek
JK
Joseph Kisslo
TH
Thomas Hansen
NR
Niels Risum
PS
Peter Søgaard