WANG Lilan 1,2 , WANG Weimin 1,2 , XU Qiaoru 1,2 , WANG Bin 1,2
  • 1. Department of Emergency, Xiamen Cardiovascular Hospital Affiliated to Xiamen University, Xiamen 361005, P. R. China;
  • 2. Medical School of Xiamen University, Xiamen 361005, P. R. China;
WANG Bin, Email: mocw361@163.com
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Objective To systematically review the predictive factors of new-onset conduction abnormalities(NOCAs) after transcatheter aortic valve replacement (TAVR) in bicuspid aortic valve (BAV) patients. Methods The CNKI, VIP, WanFang Data, PubMed, Cochrane Library and EMbase databases were electronically searched to collect the relevant studies on NOCAs after TAVR in patients with BAV from inception to December 5, 2022. Two researchers independently screened the literature, extracted data, and assessed the risk of bias of the included studies. Meta-analysis was then performed by using RevMan 5.4 software. Results Six studies involving 758 patients with BAV were included. The results of the meta-analysis showed that age (MD=−1.48, 95%CI −2.73 to −0.23, P=0.02), chronic kidney disease (OR=0.14, 95%CI 0.06 to 0.34, P<0.01), preoperative left bundle branch block (LBBB) (OR=2.84, 95%CI 1.11 to 7.23, P=0.03), membranous septum length (MSL) (MD=0.93, 95%CI 0.05 to 1.80, P=0.04), implantation depth (ID) (MD=−2.06, 95%CI −2.96 to −1.16, P<0.01), the difference between MSL and ID (MD=3.05, 95%CI 1.92 to 4.18, P<0.01), and ID>MSL (OR=0.27, 95%CI 0.15 to 0.49, P<0.01) could be used as predictors of NOCAs. Conclusion Current evidence shows that age, chronic kidney disease, LBBB, MS, ID, the difference between MSL and ID, and ID>MSL could be used as predictors of NOCAs. Due to the limited quantity and quality of included studies, more high-quality studies are required to verify the above conclusion.

Citation: WANG Lilan, WANG Weimin, XU Qiaoru, WANG Bin. Predictive factors of new-onset conduction abnormalities after transcatheter aortic valve replacement in patients with bicuspid aortic valve: a meta-analysis. Chinese Journal of Evidence-Based Medicine, 2023, 23(6): 672-678. doi: 10.7507/1672-2531.202303019 Copy

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