Genomic test to rule out obstructive CAD may reduce need for more invasive diagnostics

PUBLIC RELEASE DATE:

10-Mar-2014

Contact: Kathryn Ruehle kruehle@liebertpub.com 914-740-2100 Mary Ann Liebert, Inc./Genetic Engineering News

New Rochelle, NY, March 10, 2014Nearly $7 billion is spent each year in the U.S. on diagnostic testing of the estimated three million people with symptoms of obstructive coronary artery disease (CAD). A new blood test that detects specific genes activated in individuals with obstructive CAD could exclude the diagnosis without the need for imaging studies or more invasive tests, reducing health care costs, as described in an article in Population Health Management, a peer-reviewed journal from Mary Ann Liebert, Inc., publishers. The article is available free on the Population Health Management website at http://www.liebertpub.com/pop.

Louis Hochheiser (St. John's Medical Center, Jackson, WY), Jessie Juusola and Mark Monane (CardioDx, Palo Alto, CA), and Joseph Ladapo (New York University School of Medicine, NY), use a decision analysis model to compare the cost-effectiveness of "usual care" for obstructive CAD diagnosis with a strategy that includes "gene expression score (GES)-directed care." They present the results and potential value of this new diagnostic approach in the article "Economic Utility of a Blood-Based Genomic Test for the Assessment of Patients with Symptoms Suggestive of Obstructive Coronary Artery Disease".

"Work like this is vital to our understanding as we move from a world of volume to value," says Editor-in-Chief David B. Nash, MD, MBA, Dean and Dr. Raymond C. and Doris N. Grandon Professor, Jefferson School of Population Health, Philadelphia, PA.

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About the Journal

Population Health Management is an authoritative peer-reviewed journal published bimonthly in print and online that reflects the expanding scope of health care management and quality. The Journal delivers a comprehensive, integrated approach to the field of population health and provides information designed to improve the systems and policies that affect health care quality, access, and outcomes. Comprised of peer-reviewed original research papers, clinical research, and case studies, the content encompasses a broad range of chronic diseases (such as cardiovascular disease, cancer, chronic pain, diabetes, depression, and obesity) in addition to focusing on various aspects of prevention and wellness. Tables of content and a sample issue may be viewed on the Population Health Management website at http://www.liebertpub.com/pop. Population Health Management is the official journal of the Population Health Alliance.

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Genomic test to rule out obstructive CAD may reduce need for more invasive diagnostics