Predicting Cardiac Resynchronization Therapy Response with Speckle-Tracking Echocardiography: A Systematic Review and
Wilbert Huang1, Apridya Nurhafizah1, Alya Roosrahima Khairunnisa1
1Faculty of Medicine, University of Padjadjaran, Jatinangor, Indonesia.
Speckle-tracking echocardiography (STE) parameters can predict cardiac resynchronization therapy (CRT) response in heart failure patients. Specific STE indices, like global wasted work and certain strain patterns, are linked to better CRT outcomes and reduced clinical events.
Area of Science:
- Cardiology
- Medical Imaging
- Heart Failure Management
Background:
- Cardiac resynchronization therapy (CRT) is crucial for heart failure management, but nearly 30% of patients do not respond.
- Electromechanical dyssynchrony is a key factor influencing CRT efficacy.
- Speckle-tracking echocardiography (STE) offers advanced methods to assess cardiac mechanics and dyssynchrony.
Purpose of the Study:
- To investigate the association between various STE parameters and CRT response.
- To evaluate the relationship between STE parameters and clinical outcomes in heart failure patients undergoing CRT.
- To identify STE markers that can predict CRT success and improve patient management.
Main Methods:
- A meta-analysis was conducted on 51 observational studies involving 11,491 heart failure patients.
- Searches were performed across three medical databases for relevant studies.
- Assessed STE parameters included dyssynchrony index, myocardial work indices (global constructive and wasted work), and strain patterns.
Main Results:
- The dyssynchrony index using radial strain was not linked to CRT response but reduced clinical outcome risk (HR=0.51).
- Global wasted work showed association with increased odds of CRT response (OR=4.78) and reduced clinical outcome risk (HR=0.44).
- Specific strain patterns (1/2, typical LBBB) increased CRT response odds, while others (pattern 3, absence of typical LBBB) increased clinical outcome risk.
Conclusions:
- Various STE parameters, including myocardial work indices and strain patterns, can predict CRT response in heart failure.
- STE assessment holds potential to optimize patient selection for CRT and improve clinical outcomes.
- Further research into STE parameters may enhance the effectiveness of CRT therapy.
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