Risk stratification in asymptomatic elderly patients with severe aortic stenosis

2015 ◽  
pp. 94-101
Author(s):  
Julien Magne ◽  
Luc A Pierard
Keyword(s):  
Aortic Stenosis ◽  
Risk Stratification ◽  
Elderly Patients ◽  
Severe Aortic Stenosis

scholarly journals Surgical treatment of elderly patients with severe aortic stenosis in the modern era – review

2018 ◽  
Vol 15 (3) ◽  
pp. 188-195
Author(s):  
Anna Kwiecień ◽  
Tomasz Hrapkowicz ◽  
Krzysztof Filipiak ◽  
Roman Przybylski ◽  
Marcin Kaczmarczyk ◽  
...  
Keyword(s):  
Surgical Treatment ◽  
Aortic Stenosis ◽  
Elderly Patients ◽  
Severe Aortic Stenosis ◽  
Modern Era

scholarly journals A model based on clinical parameters to identify myocardial late gadolinium enhancement by magnetic resonance in patients with aortic stenosis: An observational study

2020 ◽  
Vol 9 ◽  
pp. 204800402092240
Author(s):  
Mariya Kuk ◽  
Simon Newsome ◽  
Francisco Alpendurada ◽  
Marc Dweck ◽  
Dudley J Pennell ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Aortic Stenosis ◽  
Risk Stratification ◽  
Myocardial Fibrosis ◽  
Surgical Intervention ◽  
Severe Aortic Stenosis ◽  
Left Ventricular ◽  
Left Ventricular Ejection ◽  
Study Patient ◽  
Ventricular Ejection Fraction

Objective With increasing age, the prevalence of aortic stenosis grows exponentially, increasing left heart pressures and potentially leading to myocardial hypertrophy, myocardial fibrosis and adverse outcomes. To identify patients who are at greatest risk, an outpatient model for risk stratification would be of value to better direct patient imaging, frequency of monitoring and expeditious management of aortic stenosis with possible earlier surgical intervention. In this study, a relatively simple model is proposed to identify myocardial fibrosis in patients with a diagnosis of moderate or severe aortic stenosis. Design Patients with moderate to severe aortic stenosis were enrolled into the study; patient characteristics, blood work, medications as well as transthoracic echocardiography and cardiovascular magnetic resonance were used to determine potential identifiers of myocardial fibrosis. Setting The Royal Brompton Hospital, London, UK Participants One hundred and thirteen patients in derivation cohort and 26 patients in validation cohort. Main outcome measures Identification of myocardial fibrosis. Results Three blood biomarkers (serum platelets, serum urea, N-terminal pro-B-type natriuretic peptide) and left ventricular ejection fraction were shown to be capable of identifying myocardial fibrosis. The model was validated in a separate cohort of 26 patients. Conclusions Although further external validation of the model is necessary prior to its use in clinical practice, the proposed clinical model may direct patient care with respect to earlier magnetic resonance imagining, frequency of monitoring and may help in risk stratification for surgical intervention for myocardial fibrosis in patients with aortic stenosis.

Effect of Severe Aortic Stenosis on the Outcome in Elderly Patients Undergoing Repair of Hip Fracture

Gerontology ◽  
2009 ◽  
Vol 55 (3) ◽  
pp. 303-306 ◽  
Author(s):  
David Leibowitz ◽  
Gurion Rivkin ◽  
Jochanan Schiffman ◽  
David Rott ◽  
A. Teddy Weiss ◽  
...  
Keyword(s):  
Hip Fracture ◽  
Aortic Stenosis ◽  
Elderly Patients ◽  
Severe Aortic Stenosis

The SURTAVI model: proposal for a pragmatic risk stratification for patients with severe aortic stenosis

2012 ◽  
Vol 8 (2) ◽  
pp. 258-266 ◽  
Author(s):  
Nicolas M. van Mieghem ◽  
Stuart J. Head ◽  
Robert van der Boon ◽  
Nicolo Piazza ◽  
Peter P. de Jaegere ◽  
...  
Keyword(s):  
Aortic Stenosis ◽  
Risk Stratification ◽  
Severe Aortic Stenosis

Can TAVI Improve Quality of Life in Elderly Patients with Severe Aortic Stenosis? A Single Centre Experience

2010 ◽  
Vol 19 ◽  
pp. S211-S212
Author(s):  
S. Lockwood ◽  
I. Meredith ◽  
P. Antonis ◽  
J. Harley ◽  
P. Mottram ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Aortic Stenosis ◽  
Elderly Patients ◽  
Severe Aortic Stenosis ◽  
Improve Quality ◽  
Single Centre ◽  
Single Centre Experience
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