Clinical significance of a machine learning model based on short-term changes in NT-proBNP after TAVR
The DR based on short-term follow-up after transcatheter aortic valve replacement was an effective indicator to evaluate prognosis quality, and the model was helpful for predicting adverse events and treatment management.
Authors
- Jian Yang (ORCID: https://orcid.org/0000-0003-2059-1912)
- Haibo Zhang (ORCID: https://orcid.org/0000-0001-7249-3113)
- Gejun Zhang (ORCID: https://orcid.org/0000-0003-3482-5468)
- Mengen Zhai
- Lai Wei (ORCID: https://orcid.org/0000-0003-4339-7055)
- Xiaoke Shang (ORCID: https://orcid.org/0000-0002-3263-5428)
- Yu Mao (ORCID: https://orcid.org/0000-0002-5754-3773)
- Jian Li (ORCID: https://orcid.org/0000-0002-7521-8798)
- Ping Jin (ORCID: https://orcid.org/0000-0003-2589-8980)
- Yingqiang Guo (ORCID: https://orcid.org/0000-0003-4894-2614)
- Xiaxia Pan
- Yang Liu (ORCID: https://orcid.org/0000-0002-7240-1546)
Institutions
- Union Hospital (HK)
- Capital Medical University (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Sichuan University (CN)
- Fudan University (CN)
- West China Hospital of Sichuan University (CN)
- Beijing Anzhen Hospital (CN)
- Zhongshan Hospital (CN)
- Guangdong Provincial People's Hospital (CN)
- Xijing Hospital (CN)
- Fu Wai Hospital (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- IJC Heart & Vasculature
- Published
- 2025-08-08
- DOI
- https://doi.org/10.1016/j.ijcha.2025.101770
- Primary Topic
- Cardiac Valve Diseases and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00