| Literature DB >> 28150083 |
Chun-Li Wang1,2, Chia-Tung Wu3,4, Yung-Hsin Yeh3,4, Lung-Sheng Wu3,4, Yi-Hsin Chan3,4, Chi-Tai Kuo3,4, Pao-Hsien Chu3,4,5, Lung-An Hsu3,4, Wan-Jing Ho3,4.
Abstract
A left bundle-branch block (LBBB) contraction pattern identified from longitudinal-strain analysis predicts outcomes following cardiac resynchronization therapy (CRT). We investigated the use of an LBBB-contraction pattern identified from radial- or circumferential-strain analysis in the prediction of CRT benefits. Eighty CRT candidates were prospectively enrolled. Before CRT implantation, speckle-tracking analyses in three deformation directions were performed to determine whether an LBBB-contraction pattern was present. The study endpoints were reverse remodeling at 6 months, and adverse outcomes including death or heart failure hospitalization. At 6 months, 49 (61%) patients had reverse remodeling. An LBBB-contraction pattern identified from the radial strain in the mid-ventricular short-axis view or longitudinal strain in the four-chamber view provided excellent true-positive (86%) and false-negative (8%) rates for predicting reverse remodeling. During a median follow-up of 30 months, 31 patients (39%) had adverse outcomes. Absence of an LBBB-contraction pattern in radial (hazard ratio 3.74; 95% confidence interval 1.83-7.62) or longitudinal strain (hazard ratio 3.49; 95% confidence interval 1.71-7.13) was significantly associated with an increased risk of adverse outcomes. Adding the LBBB-pattern assessment by radial-(model χ2 from 8.2 to 18.5, p = 0.005), or longitudinal-strain analysis (model χ2 from 8.2 to 16.9, p = 0.011) to a risk model significantly improved the model, including QRS duration and ischemic etiology. In conclusion, an LBBB-contraction pattern identified from radial-strain analysis in the mid-ventricular short-axis view predicted reverse remodeling and outcome following CRT, similarly to the longitudinal-strain analysis.Entities:
Keywords: Cardiac resynchronization therapy; Echocardiography; Outcome; Strain
Mesh:
Year: 2017 PMID: 28150083 DOI: 10.1007/s10554-017-1083-5
Source DB: PubMed Journal: Int J Cardiovasc Imaging ISSN: 1569-5794 Impact factor: 2.357