alexa Aortic Stenosis: Predictive Value of Cardiac Biomarkers in Older Patients
ISSN: 2167-7182

Journal of Gerontology & Geriatric Research
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Aortic Stenosis: Predictive Value of Cardiac Biomarkers in Older Patients

Alexander E Berezin*
Internal Medicine Department, State Medical University of Zaporozhye, Zaporozhye, Ukraine
Corresponding Author : Alexander E Berezin
Professor, Consultant of Therapeutic Unit Internal
Medicine Department, State Medical University
of Zaporozhye, 26, Mayakovsky avenue, Zaporozhye, Ukraine
Tel: 380612894585
E-mail: [email protected]
Received December 23, 2015; Accepted December 30, 2015; Published January 06, 2016
Citation: Berezin AE (2016) Aortic Stenosis: Predictive Value of Cardiac Biomarkers in Older Patients. J Gerontol Geriatr Res 5:263. doi:10.4172/2167-7182.1000263
Copyright: © 2016 Berezin AE. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Abstract

Aortic stenosis is one of the most common forms of acquired valvular heart disease in older patient population. Clinical implementation of cardiac biomarker measurement for risk stratification in patients with aortic stenosis has been shown to be promising to predict disease progression and outcomes. The aim of the short communication is summary knowledge regarding clinical perspectives in use of biological markers for risk stratification in the patients with aortic stenosis. The review is confirmed that two-dimensional and Doppler echocardiographies remains to be key tool for the evaluation and monitoring of aortic stenosis in older patients. Although there is no consensus on the prognostic value of biomarkers to stratify older patients with aortic stenosis at risk, BNP / NT-proBNP, galectin-3, sST2 appear to be promising predictors of C death and clinical outcomes in this population. Whether combined biomarker approach might have an impact on clinical decision-making for risk stratification in aortic stenosis patients is still not understood and requires further investigations.

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