scholarly journals Predicting the need of aortic valve surgery in patients with chronic aortic regurgitation: a comparison between cardiovascular magnetic resonance imaging and transthoracic echocardiography

Author(s):  
M. Faber ◽  
C. Sonne ◽  
S. Rosner ◽  
H. Persch ◽  
W. Reinhard ◽  
...  

AbstractTo compare the ability of cardiac magnetic resonance tomography (CMR) and transthoracic echocardiography (TTE) to predict the need for valve surgery in patients with chronic aortic regurgitation on a mid-term basis. 66 individuals underwent assessment of aortic regurgitation (AR) both in CMR and TTE between August 2012 and April 2017. The follow-up rate was 76% with a median of 5.1 years. Cox proportional hazards method was used to assess the association of the time-to-aortic-valve-surgery, including valve replacement and reconstruction, and imaging parameters. A direct comparison of most predictive CMR and echocardiographic parameters was performed by using nested-factor-models. Sixteen patients (32%) were treated with aortic valve surgery during follow-up. Aortic valve insufficiency parameters, both of echocardiography and CMR, showed good discriminative and predictive power regarding the need of valve surgery. Within all examined parameters AR gradation derived by CMR correlated best with outcome [χ2 = 27.1; HR 12.2 (95% CI: 4.56, 36.8); (p < 0.0001)]. In direct comparison of both modalities, CMR assessment provided additive prognostic power beyond echocardiographic assessment of AR but not vice versa (improvement of χ2 from 21.4 to 28.4; p = 0.008). Nested model analysis demonstrated an overall better correlation with outcome by using both modalities compared with using echo alone with the best improvement in the moderate to severe AR range with an echo grade II out of III and a regurgitation fraction of 32% in CMR. This study corroborates the capability of CMR in direct quantification of AR and its role for guiding further treatment decisions particularly in patients with moderate AR in echocardiography.

2016 ◽  
Vol 33 (10) ◽  
pp. 1458-1464 ◽  
Author(s):  
Madelien V. Regeer ◽  
Michel I. M. Versteegh ◽  
Nina Ajmone Marsan ◽  
Martin J. Schalij ◽  
Robert J. M. Klautz ◽  
...  

Heart ◽  
2021 ◽  
pp. heartjnl-2020-318907
Author(s):  
Steele C Butcher ◽  
Federico Fortuni ◽  
William Kong ◽  
E Mara Vollema ◽  
Francesca Prevedello ◽  
...  

ObjectiveTo investigate the prognostic value of left atrial volume index (LAVI) in patients with moderate to severe aortic regurgitation (AR) and bicuspid aortic valve (BAV).Methods554 individuals (45 (IQR 33–57) years, 80% male) with BAV and moderate or severe AR were selected from an international, multicentre registry. The association between LAVI and the combined endpoint of all-cause mortality or aortic valve surgery was investigated with Cox proportional hazard regression analyses.ResultsDilated LAVI was observed in 181 (32.7%) patients. The mean indexed aortic annulus, sinus of Valsalva, sinotubular junction and ascending aorta diameters were 13.0±2.0 mm/m2, 19.4±3.7 mm/m2, 16.5±3.8 mm/m2 and 20.4±4.5 mm/m2, respectively. After a median follow-up of 23 (4–82) months, 272 patients underwent aortic valve surgery (89%) or died (11%). When compared with patients with normal LAVI (<35 mL/m2), those with a dilated LAVI (≥35 mL/m2) had significantly higher rates of aortic valve surgery or mortality (43% and 60% vs 23% and 36%, at 1 and 5 years of follow-up, respectively, p<0.001). Dilated LAVI was independently associated with reduced event-free survival (HR=1.450, 95% CI 1.085 to 1.938, p=0.012) after adjustment for LV ejection fraction, aortic root diameter, LV end-diastolic diameter and LV end-systolic diameter.ConclusionsIn this large, multicentre registry of patients with BAV and moderate to severe AR, left atrial dilation was independently associated with reduced event-free survival. The role of this parameter for the risk stratification of individuals with significant AR merits further investigation.


2020 ◽  
Vol 13 (1) ◽  
pp. 12-21 ◽  
Author(s):  
Alaa Alashi ◽  
Tamanna Khullar ◽  
Amgad Mentias ◽  
A. Marc Gillinov ◽  
Eric E. Roselli ◽  
...  

Author(s):  
Saul G Myerson ◽  
Theodoros D Karamitsos ◽  
Jane M Francis ◽  
Adrian P Banning ◽  
Stefan Neubauer

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