Screening Tool to Identify Patients with Advanced Aortic Valve Stenosis

(1) Background: The clinical burden of aortic stenosis (AS) remains high in Western countries. Yet, there are no screening algorithms for this condition. We developed a risk prediction model to guide targeted screening for patients with AS. (2) Methods: We performed a cross-sectional analysis of all...

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Detalles Bibliográficos
Autores principales: Yousef, Sameh, Amabile, Andrea, Ram, Chirag, Huang, Huang, Korutla, Varun, Singh, Saket, Agarwal, Ritu, Assi, Roland, Milewski, Rita K., Zhang, Yawei, Patel, Prakash A., Krane, Markus, Geirsson, Arnar, Vallabhajosyula, Prashanth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9369431/
https://www.ncbi.nlm.nih.gov/pubmed/35956007
http://dx.doi.org/10.3390/jcm11154386

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9369431/
https://www.ncbi.nlm.nih.gov/pubmed/35956007
http://dx.doi.org/10.3390/jcm11154386

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