Faculty Collaboration Database

Biomarkers in cardiovascular disease: Statistical assessment and section on key novel heart failure biomarkers. Trends Cardiovasc Med 2017 Feb;27(2):123-133

Date

08/31/2016

Pubmed ID

27576060

Pubmed Central ID

PMC5253084

DOI

10.1016/j.tcm.2016.07.005

Scopus ID

2-s2.0-84994168947 (requires institutional sign-in at Scopus site)   193 Citations

Abstract

Cardiovascular disease (CVD) is a leading cause of death worldwide and continues to increase in prevalence compared to previous decades, in part because of the aging of the world population. Atherosclerotic CVD starts at a very young age and progresses over time allowing sufficient time for screening and early detection of the condition. Advances in biomarker research and developments related to CVD over the past 30 years have led to more sensitive screening methods, a greater emphasis on its early detection and diagnosis, and improved treatments resulting in more favorable clinical outcomes in the community. However, the use of biomarkers for different purposes in CVD remains an important area of research that has been explored by scientists over the years and many new developments are still underway. Therefore, a detailed description of all CVD biomarkers that are currently been used or investigated for future use in the field of cardiovascular medicine is out of scope for any review article. In the present review, we do not intend to replicate the information from previous exhaustive review on biomarkers, but highlight key statistical and clinical issues with an emphasis on methods to evaluate the incremental yield of biomarkers, including their clinical utility, a prerequisite before any putative novel biomarker is utilized in clinical practice. In addition, we will summarize information regarding recent novel heart failure biomarkers in current practice, which are undergoing scrutiny before they can be available for clinical use, and their impact on clinical outcomes.

Author List

Dhingra R, Vasan RS

Author

Ravi Dhingra MBBS Professor in the Medicine department at Medical College of Wisconsin

MESH terms used to index this publication - Major topics in bold

Biomarkers
Data Interpretation, Statistical
Genetic Markers
Heart Failure
Humans
Myocardium
Predictive Value of Tests
Prognosis
Reproducibility of Results
Severity of Illness Index