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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
medicine
Video densitometric assessment of aortic regurgitation after transcatheter aortic valve implantation: Results from the Brazilian TAVI registry
EuroIntervention, Volume 11, No. 12, Year 2016
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Description
Aims: We sought to examine the feasibility and reproducibility of a new video densitometric (VD) quantification of aortic regurgitation (AR) on aortography, and its long-Term clinical impact. Methods and results: Using dedicated video densitometry software, AR after TAVI was quantified, and inter-and intra-observer reproducibility was investigated in 182 aortograms of the Brazilian TAVI registry. The aortograms were analysed using two software algorithms: 1) the quantitative regurgitation analysis (qRA) index interrogating the entire left ventricle (LV), and 2) a new method with the left ventricle outflow tract (LVOT) as a region of interest (ROI) (LVOT-AR). LVOT-AR was feasible in 64.8% vs. 29.7% of aortograms, compared with qRA index. Using the LVOT-AR, inter-observer variability was low (mean difference±standard deviation [SD]: 0.01±0.05, p=0.53), and the two observers' measurements were highly correlated (r=0.95, p<0.001). Patients with LVOT-AR >0.17 had a significantly higher one-year all-cause mortality risk compared with patients with LVOT-AR ≤0.17 (37.1% vs. 11.2%, p=0.0008). Conclusions: This study proposes an alternative methodology for AR assessment after TAVI by using the LVOT method (LVOT-AR) of VD angiography. The assessment of LVOT-AR is feasible, reproducible and potentially predictive of one-year mortality. © 2016 Europa Digital & Publishing. All rights reserved.
Authors & Co-Authors
Tateishi, Hiroki
Netherlands, Rotterdam
Erasmus Mc
Campos, Carlos M.
Brazil, Sao Paulo
Universidade de São Paulo
Brazil, Sao Paulo
Hospital Israelita Albert Einstein
Abdelghani, Mohammad
Netherlands, Amsterdam
Amsterdam Umc - University of Amsterdam
Leite, Rogério S.
Brazil, Porto Alegre
Instituto de Cardiologia/fundacao Universitaria de Cardiologia
Mangione, José Armando
Brazil, Paraiso
Beneficenca Portuguesa Hospital Sao Paulo
Soliman, O. I.I.
Netherlands, Rotterdam
Erasmus Mc
Onuma, Yosinobu
Netherlands, Rotterdam
Erasmus Mc
Serruys, Patrick W.
United Kingdom, London
Imperial College London
Lemos, Pedro A.
Brazil, Sao Paulo
Universidade de São Paulo
de Brito, Fábio Sândoli
Brazil, Sao Paulo
Hospital Israelita Albert Einstein
Statistics
Citations: 33
Authors: 10
Affiliations: 9
Identifiers
Doi:
10.4244/EIJV11I12A271
ISSN:
1774024X
Study Approach
Quantitative