alexa Cardiovascular Biomarkers in Routine Screening of Diabe
ISSN: 2471-2663

Clinical & Medical Biochemistry
Open Access

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Review Article

Cardiovascular Biomarkers in Routine Screening of Diabetic Pati ents

Alexander E Berezin*

Cardiology Unit, Internal Medicine Department, State Medical University, Mayakovski av., Zaporozhye, Ukraine

*Corresponding Author:
Alexander E. Berezin
Professor, MD, PhD, Consultant of Cardiology
Unit Internal Medicine Department, State Medical University
26, Mayakovski av., Zaporozhye, Ukraine, Postcode 69035
Tel:
+380612894585
E-mail:
[email protected]

Received date: October 30, 2015; Accepted date: December 02, 2015; Published date December 10, 2015

Citation: Berezin AE (2015) Cardiovascular Biomarkers in Routine Screening of Diabetic Patients. Clin Med Biochemistry Open Access 2:107. doi:10.4172/2471-2663.1000107

Copyright: © 2015 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.

 

Abstract

Type 2 diabetes mellitus (T2DM) is one of the most prevalent metabolic diseases that associated with increased risk for cardiovascular (CV) diseases and newly CV events. Although CV risk assessment is incorporated in primary and secondary prevention strategies to improve morbidity and mortality that are applied in diabetic patient, it is important to stratify individuals at high CV risk not just prior diabetic complication, but at early stages of development of the CV diseases. The aim of the editorial comment is to discuss possible predictive role of cardiac biomarkers in T2DM. CV biomarkers may contribute to improved prediction of mortality and CV events in T2DM. It has suggested that measurement of serum levels of hs-CRP, galectin-3, natriuretic peptides, fibroblast growth factor-23, α-klotho, and hs-cTnT probably allows the screening of diabetes patients at risk of CV events. Future directions are associated with discovering of novel biomarkers and optimal combinations of recently used markers to provide additional prognostic information beyond what is available with other traditional CV risk factors.

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