Clinical significance of a machine learning model based on short-term changes in NT-proBNP after TAVR

Objectives: The purpose of this study was to investigate the short-term dynamic changes in NT-proBNP after transcatheter aortic valve replacement and to evaluate its availability in prognostic assessment based on machine learning. Methods: The differences in the NT-proBNP ratio between baseline, 30-...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Yu Mao, Mengen Zhai, Ping Jin, Gejun Zhang, Haibo Zhang, Lai Wei, Xiaoke Shang, Jian Liu, Yingqiang Guo, Xiangbin Pan, Yang Liu, Jian Yang
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Elsevier 2025-10-01
Sarja:	International Journal of Cardiology: Heart & Vasculature
Aiheet:	N-terminal B-type natriuretic peptide precursor Transcatheter aortic valve replacement Prognosis Machine learning
Linkit:	http://www.sciencedirect.com/science/article/pii/S2352906725001733
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