Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/103295
Title: | Predictors of echocardiographic response to cardiac resynchronization therapy: A systematic review with Meta-Analysis | Authors: | Martins, Rodrigo António, Natália Donato, Helena Oliveiros, Bárbara |
Keywords: | Cardiac resynchronization therapy; Left bundle branch block; Left ventricular remodeling; Predictors; Response | Issue Date: | Apr-2022 | metadata.degois.publication.title: | IJC Heart and Vasculature | metadata.degois.publication.volume: | 39 | Abstract: | Background: At least 30% of the patients do not respond to cardiac resynchronization therapy (CRT). We performed a systematic review and meta-analysis of real-world studies trying to identify predictors of response to CRT. Methods: PubMed, Embase and Cochrane Central Register of Controlled Trials (CENTRAL) were searched for observational prospective studies, referring the evaluation of response to CRT, defined as a decrease in left ventricle end-systolic volume (LVESV) ≥ 15% at 6-month follow-up, via two-dimensional echocardiography. Results: A total of 24 studies were included. The meta-analysis showed that female gender (p = 0.018), nonischemic cardiomyopathy (NICM) (p < 0.001), left bundle branch morphology (LBBB) (p = 0.001), longer QRS (p < 0.001) and New York Heart Association (NYHA) class II (p = 0.014) appear to favor response to CRT. After ROC analysis and logistic regression procedures, female gender (kappa = 0.450; p < 0.001), NICM (kappa = 0.636; p < 0.001), LBBB (kappa = 0.935; p < 0.001), and NYHA class II (kappa = 0.647; p < 0.001) were identified as independent predictors of response to CRT, being LBBB the most reliable one (sensitivity = 97.24%; specificity = 98.86%). Conclusions: Female gender, NICM, LBBB and NYHA class II are baseline variables with an apparent capability to independently predict response to CRT, being LBBB the most reliable one. | URI: | https://hdl.handle.net/10316/103295 | ISSN: | 2352-9067 | DOI: | 10.1016/j.ijcha.2022.100979 | Rights: | openAccess |
Appears in Collections: | FMUC Medicina - Artigos em Revistas Internacionais |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
1-s2.0-S2352906722000288-main.pdf | 1.33 MB | Adobe PDF | View/Open |
SCOPUSTM
Citations
4
checked on Oct 28, 2024
WEB OF SCIENCETM
Citations
3
checked on Oct 2, 2024
Page view(s)
125
checked on Oct 29, 2024
Download(s)
98
checked on Oct 29, 2024
Google ScholarTM
Check
Altmetric
Altmetric
This item is licensed under a Creative Commons License