Literature DB >> 27993573

Clinical Utility of a Precision Medicine Test Evaluating Outpatients with Suspected Obstructive Coronary Artery Disease.

Joseph A Ladapo1, Matt Budoff2, David Sharp3, Michael Zapien4, Lin Huang4, Bruce Maniet5, Lee Herman6, Mark Monane4.   

Abstract

BACKGROUND: Identifying patients with obstructive coronary artery disease can be challenging for primary care physicians. Advances in precision medicine may help augment clinical tools and redefine the paradigm for evaluating coronary artery disease in the outpatient setting. A blood-based age/sex/gene expression score (ASGES) incorporating key features of precision medicine has shown clinical validity with a 96% negative predictive value and 89% sensitivity in estimating a symptomatic patient's current likelihood of obstructive coronary artery disease. To better characterize the clinical utility of the ASGES and measure its impact on clinician decision-making, a community-based registry was established.
METHODS: The prospective PRESET Registry (NCT01677156) enrolled stable, nonacute adult patients presenting with typical or atypical symptoms suggestive of obstructive coronary artery disease from 21 US primary care practices from August 2012 to August 2014. Demographics, clinical characteristics, and ASGES results (predefined as low [ASGES ≤15] or elevated [ASGES >15]) were collected, as were referrals to Cardiology or further functional/anatomic cardiac testing after ASGES testing. Patients were followed for 1 year post ASGES testing.
RESULTS: Among the 566-patient cohort (median age 56 years), clinicians referred 26/252 (10%) of patients with low scores vs 137/314 (44%) of patients with elevated scores to Cardiology or advanced cardiac testing for further evaluation (unadjusted odds ratio 0.15, P <.0001; adjusted odds ratio after accounting for clinical covariates = 0.18, P <.0001). Data on 84 patients referred for advanced cardiac testing showed abnormal findings in 0 of 13 (0%) low ASGES and 10 of 71 (14%) elevated ASGES patients. Major adverse cardiovascular events and revascularization were noted in 3/252 (1.2%) patients with low ASGES and 14/314 (4.5%) patients with elevated ASGES score (P <.03).
CONCLUSIONS: In this community-based cardiovascular registry, the ASGES demonstrated clinical utility in the evaluation of patients with suspected obstructive coronary artery disease. Low-score patients were less likely to undergo cardiac referral, were unlikely to have positive findings on further cardiac work-up, and had a low rate of adverse cardiovascular events in 1-year follow-up. Our work provides evidence supporting the value of using precision medicine in the delivery of cardiovascular care.
Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Age/sex/gene expression score; Clinical decision-making; Clinical utility; Coronary artery disease; Diagnosis; Genomics; Precision medicine; Registry

Mesh:

Year:  2016        PMID: 27993573     DOI: 10.1016/j.amjmed.2016.11.021

Source DB:  PubMed          Journal:  Am J Med        ISSN: 0002-9343            Impact factor:   4.965


  3 in total

1.  Age, Sex, and Gene Expression Score identifies a symptomatic, nondiabetic male patient as being at high risk of obstructive coronary artery disease.

Authors:  Ronald J Polinsky
Journal:  SAGE Open Med Case Rep       Date:  2018-01-04

2.  The Clinical Utility of a Precision Medicine Blood Test Incorporating Age, Sex, and Gene Expression for Evaluating Women with Stable Symptoms Suggestive of Obstructive Coronary Artery Disease: Analysis from the PRESET Registry.

Authors:  Burcu Gul; Alexandra Lansky; Matthew J Budoff; David Sharp; Bruce Maniet; Lee Herman; Jane Z Kuo; Lin Huang; Mark Monane; Joseph A Ladapo
Journal:  J Womens Health (Larchmt)       Date:  2019-01-17       Impact factor: 2.681

3.  RNA sequencing of blood in coronary artery disease: involvement of regulatory T cell imbalance.

Authors:  Timothy A McCaffrey; Ian Toma; Zhaoquing Yang; Richard Katz; Jonathan Reiner; Ramesh Mazhari; Palak Shah; Michael Tackett; Dan Jones; Tisha Jepson; Zachary Falk; Richard Wargodsky; Dmitry Shtakalo; Denis Antonets; Justin Ertle; Ju H Kim; Yinglei Lai; Zeynep Arslan; Emily Aledort; Maha Alfaraidy; Georges St Laurent
Journal:  BMC Med Genomics       Date:  2021-09-03       Impact factor: 3.063

  3 in total

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