P3527Different hemodynamic behavior of remodeling pattern one-year after aortic valve replacement in males and females

2018 ◽  
Vol 39 (suppl_1) ◽  
Author(s):  
G Barletta ◽  
M R Del Bene ◽  
F Venditti ◽  
C Blanzola ◽  
C Di Mario ◽  
...  
2002 ◽  
Vol 89 (4) ◽  
pp. 408-413 ◽  
Author(s):  
Harald P Kühl ◽  
Andreas Franke ◽  
David Puschmann ◽  
Friedrich A Schöndube ◽  
Rainer Hoffmann ◽  
...  

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Paul M Ndunda ◽  
Peter Tadros ◽  
Mark Wiley ◽  
Greg Muehlebach ◽  
George Zorn ◽  
...  

Introduction: Stroke after transcatheter aortic valve replacement (TAVR) is a significant cause of morbidity and mortality. It increases the risk of mortality threefold, within one year of TAVR. It is also associated with significant disability and increased health care costs. A validated risk prediction tool for stroke one year after TAVR may be useful in risk stratification to guide decisions at the point of clinical care and in research. The objective of this study was to assess the calibration and discriminative ability of the R 2 CHA 2 DS 2 VASc, CHA 2 DS 2 VASc, R 2 CHADS 2 , and CHADS 2 scores for predicting stroke within one year of TAVR. Methods: This was a retrospective cohort study using data from a midwestern academic center TAVR program. Patients who underwent TAVR from 2012 to the first quarter of 2018 who had one-year follow-up data were included in the study. The model discrimination and calibration were assessed using the area under the receiver operating characteristic curve (c-statistic) and the Hosmer-Lemeshow test respectively. Results: Six hundred and sixty four patients met the inclusion criteria and 3.4% had stroke within one year of undergoing TAVR. They had a median age of 81 years and a mean STS score of 6.3. The R 2 CHA 2 DS 2 VASc, CHA 2 DS 2 VASc, R 2 CHADS 2 , and CHADS 2 scores had c-statistics of 0.591, 0.596, 0.607, and 0.622, respectively. The Hosmer-Lemeshow χ 2 p-values were 0.762, 0.422, 0.463 and 0.146 respectively. Conclusion: The CHADS 2 score had the best discriminative ability for stroke prediction one year after TAVR. All the four scores were well calibrated.


Nutrients ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 446 ◽  
Author(s):  
Edyta Wernio ◽  
Sylwia Małgorzewicz ◽  
Jolanta Anna Dardzińska ◽  
Dariusz Jagielak ◽  
Jan Rogowski ◽  
...  

Background: There is still a lack of data on the nutritional status of older people with aortic stenosis (AS) and the effect of poor nutrition on the occurrence of complications and mortality after an aortic valve replacement (AVR) procedure. The aim of this study was to assess the impact of selected nutritional status parameters in elderly patients with severe AS on the occurrence of postoperative complications and one-year mortality after the AVR procedure. Methods: 101 elderly patients with AS aged 74.6 ± 5.2 years who qualified for surgical treatment (aortic valve area [AVA] 0.73 ± 0.2 cm2) were enrolled in the study. A nutritional status assessment was performed before AVR surgery, and the frequency of postoperative complications occurring within 30 days of surgery was assessed. The one-year mortality rate was also captured. Results: Adverse events (both major and minor) up to 30 days occurred in 49.5% (n = 50) of the study population. Low Mini Nutritional Assessment (f-MNA) and Subjective Global Assessment (7-SGA) scores and low concentrations of total cholesterol, LDL-cholesterol, and prealbumin were associated with a higher risk of postoperative complications. The risk of complications increased 1.22 times (95% CI; 1.030–1.453; p = 0.019) with an impaired nutritional status. The annual mortality rate in the study group was 7.9%. Unintentional weight loss of >2.8% in the six months preceding surgery proved useful for predicting death within the first year after AVR surgery. Conclusions: The results indicate that poor nutritional status is an important factor affecting the adverse outcomes in elderly patients with severe aortic valve stenosis undergoing an AVR procedure.


2009 ◽  
Vol 8 (4) ◽  
pp. 417-420 ◽  
Author(s):  
H. Imagawa ◽  
M. Ryugo ◽  
F. Shikata ◽  
T. Nakata ◽  
M. Nagashima ◽  
...  

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