Combined myocardial deformation to predict cardiac resynchronization therapy response in nonischemic cardiomyopathy

Yang, Ning; Liang, Zhaoguang; Wang, Zhaojun; Liu, Hui; Chi, Chao; Tian, Yuan; Qi, Shuhan; Wang, Biyu; Han, Wei

doi:10.1111/pace.13151

Cited by 2 publications

(1 citation statement)

References 36 publications

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“…After three months, patients went through another standard transthoracic echocardiography. We defined LVR as an increase ≥20% in LVEDV at three-month follow-up [2,[23][24][25][26][27][28]. e study protocol was approved by the ethics committee of the General Hospital of the Southern eatre Command, PLA, and oral informed consent was obtained from all the patients.…”

Section: Patient Population and Protocolsmentioning

confidence: 99%

A Comparison of Three-Dimensional Speckle Tracking Echocardiography Parameters in Predicting Left Ventricular Remodeling

Zhong

Liu

et al. 2020

Journal of Healthcare Engineering

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Three-dimensional speckle tracking echocardiography (3D STE) is an emerging noninvasive method for predicting left ventricular remodeling (LVR) after acute myocardial infarction (AMI). Previous studies analyzed the predictive value of 3D STE with traditional models. However, no models that contain comprehensive risk factors were assessed, and there are limited data on the comparison of different 3D STE parameters. In this study, we sought to build a machine learning model for predicting LVR in AMI patients after effective percutaneous coronary intervention (PCI) that contains the majority of the clinical risk factors and compare 3D STE parameters values for LVR prediction. We enrolled 135 first-onset AMI patients (120 males, mean age 54 ± 9 years). All patients went through a 3D STE and a traditional transthoracic echocardiography 24 hours after reperfusion. A second echocardiography was repeated at the three-month follow-up to detect LVR (defined as a 20 percent increase in left ventricular end-diastolic volume). Six models were constructed using 15 risk factors. A receiver operator characteristic curve and four performance measurements were used as evaluation methods. Feature importance was used to compare 3D STE parameters. 26 patients (19.3%) had LVR. Our evaluation showed that RF can best predict LVR with the best AUC of 0.96. 3D GLS was the most valuable 3D STE parameters, followed by GCS, global area strain, and global radial strain (feature importance 0.146, 0.089, 0.087, and 0.069, respectively). To sum up, RF models can accurately predict the LVR after AMI, and 3D GLS was the best 3D STE parameters in predicting the LVR.

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Section: Patient Population and Protocolsmentioning

confidence: 99%

A Comparison of Three-Dimensional Speckle Tracking Echocardiography Parameters in Predicting Left Ventricular Remodeling

Zhong

Liu

et al. 2020

Journal of Healthcare Engineering

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Global longitudinal strain predicts responders after cardiac resynchronization therapy—a systematic review and meta-analysis

et al. 2021

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Combined myocardial deformation to predict cardiac resynchronization therapy response in nonischemic cardiomyopathy

Abstract: Mechanical dyssynchrony, contractile function, and filling pattern are important determinants of the benefits in CRT.

Cited by 2 publications

References 36 publications

A Comparison of Three-Dimensional Speckle Tracking Echocardiography Parameters in Predicting Left Ventricular Remodeling

A Comparison of Three-Dimensional Speckle Tracking Echocardiography Parameters in Predicting Left Ventricular Remodeling

Global longitudinal strain predicts responders after cardiac resynchronization therapy—a systematic review and meta-analysis

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