Proposal criteria of paradoxical low-flow low-gradient aortic stenosis for predicting prognosis in patients undergoing transcatheter aortic valve implantation

2021 ◽  
Author(s):  
Tomomi Tanino ◽  
Kunio Yufu ◽  
Takashi Shuto ◽  
Hiroki Sato ◽  
Masayuki Takano ◽  
...  
2015 ◽  
Vol 87 (4) ◽  
pp. 797-804 ◽  
Author(s):  
Nicolas Debry ◽  
Arnaud Sudre ◽  
Gilles Amr ◽  
Cédric Delhaye ◽  
Guillaume Schurtz ◽  
...  

2015 ◽  
Vol 21 (10) ◽  
pp. S166-S167
Author(s):  
Ryosuke Higuchi ◽  
Tetsuya Tobaru ◽  
Keitaro Mahara ◽  
Kazuhiro Naito ◽  
Jun Shimizu ◽  
...  

Cardiology ◽  
2016 ◽  
Vol 134 (2) ◽  
pp. 128-135 ◽  
Author(s):  
Guy Witberg ◽  
Alon Barsheshet ◽  
Abid Assali ◽  
Hana Vaknin-Assa ◽  
Aviv A. Shaul ◽  
...  

Objectives: To explore the relation between the baseline aortic valve gradient (AVG) as a continuous variable and clinical outcomes following transcatheter aortic valve implantation (TAVI) in general and specifically in patients with high-gradient aortic stenosis (AS). Methods: We reviewed 317 consecutive patients who underwent TAVI at our institution. We investigated the relation between AVG as a continuous/categorical variable and outcome among all patients and in patients without low-flow low-gradient AS, using the Cox proportional hazard model adjusting for multiple prognostic variables. Results: Patients had a peak AVG of 79.9 ± 22.8 mm Hg (mean 50.5 ±15.7). During a mean follow-up of 2.7 years, AVG was inversely associated with mortality and mortality or cardiac hospitalization. Every 10-mm-Hg increase in peak AVG was associated with 18% reduction in mortality (p = 0.003) and 19% reduction in mortality/cardiac hospitalization (p < 0.001). Every 10-mm-Hg increase in mean AVG was associated with a 24% reduction in both outcomes (p = 0.005 and p < 0.001). Subgroup analysis of patients with left-ventricular ejection fraction >40% or peak AVG >64 mm Hg yielded similar results. Conclusions: Mean and peak baseline AVGs are directly associated with improved outcomes after TAVI; AVG can be used to select the patients most likely to benefit from TAVI.


2012 ◽  
Vol 5 (5) ◽  
pp. 552-559 ◽  
Author(s):  
Alexander Lauten ◽  
Ralf Zahn ◽  
Martin Horack ◽  
Horst Sievert ◽  
Axel Linke ◽  
...  

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