Literature DB >> 27765190

What We Are Learning From Transcatheter Aortic Valve Replacement Risk Prediction Models.

Mathew R Reynolds1, Jonathan C Hong2.   

Abstract

Keywords:  aortic stenosis; frailty; mortality; prediction models; quality of life

Mesh：

Year:  2016        PMID： 27765190     DOI： 10.1016/j.jacc.2016.08.018

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN： 0735-1097            Impact factor:   24.094


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  2 in total

1.  The impact of frailty on mortality after transcatheter aortic valve replacement.

Authors:  Charat Thongprayoon; Wisit Cheungpasitporn; Kianoush Kashani
Journal:  Ann Transl Med       Date:  2017-03

2.  The association between renal recovery after acute kidney injury and long-term mortality after transcatheter aortic valve replacement.

Authors:  Charat Thongprayoon; Wisit Cheungpasitporn; Narat Srivali; Wonngarm Kittanamongkolchai; Ankit Sakhuja; Kevin L Greason; Kianoush B Kashani
Journal:  PLoS One       Date:  2017-08-17       Impact factor: 3.240
  2 in total

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