Predictors of Paravalvular Leakage After Transcatheter Aortic Valve Replacement in Patients With BAV
The machine learning model with 7 predictors effectively identifies post-TAVR PVL risk in patients with BAV stenosis, aiding procedural planning and PVL prevention. (Study on Standard Evaluation System and Optimal Treatment Path of Senile Valvular Heart Disease; NCT05044338).
Authors
- F. Chen (ORCID: https://orcid.org/0000-0001-9784-6114)
- Yingqiang Guo
- Yu Mao
- Gejun Zhang
- Yongjian Wu
- Lai Wei
- Mengen Zhai
- Jian Liu
- Ping Jin
- Jian Yang
- Yang Liu
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Sichuan University (CN)
- Fudan University (CN)
- West China Hospital of Sichuan University (CN)
- Zhongshan Hospital (CN)
- Guangdong Provincial People's Hospital (CN)
- Xijing Hospital (CN)
- Shanghai Center for Brain Science and Brain-Inspired Technology (CN)
- Xi'an Jiaotong University (CN)
Publication Details
- Journal
- JACC Advances
- Published
- 2026-01-20
- DOI
- https://doi.org/10.1016/j.jacadv.2025.102566
- Citations
- 1
- Primary Topic
- Cardiac Valve Diseases and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 30.07