Prospective Validation of a Biomarker-Based Rule Out Strategy for Functionally Relevant Coronary Artery Disease

Joan E Walter1, Ursina Honegger1, Christian Puelacher1,2

  • 1Cardiovascular Research Institute Basel (CRIB) and Department of Cardiology, University Hospital Basel, University of Basel, Switzerland.

Clinical Chemistry
|October 18, 2017
PubMed

Insights

A single high-sensitivity cardiac troponin I (hs-cTnI) blood test can safely rule out significant coronary artery disease (CAD) in about 10% of patients. This strategy advances non-invasive CAD assessment for improved patient care.

Area of Science:

  • Cardiology
  • Biomarker Research
  • Diagnostic Strategies

Background:

  • Coronary artery disease (CAD) diagnosis often requires invasive procedures.
  • High-sensitivity cardiac troponin I (hs-cTnI) shows promise for non-invasive CAD assessment.
  • A validated, multi-step approach is needed to implement hs-cTnI for CAD rule-out.

Purpose of the Study:

  • To prospectively develop and validate a rule-out strategy for functionally significant CAD using hs-cTnI.
  • To assess hs-cTnI performance in serum and plasma across different measurement platforms.
  • To establish a clinical platform for hs-cTnI-based CAD risk stratification.

Main Methods:

  • A 3-step prospective study involving patients without known CAD referred for myocardial perfusion imaging (MPI-SPECT/CT).
  • Cohorts for validation (serum), correlation (serum/plasma), and application (plasma) using research and clinical assay systems.
  • Functional CAD adjudicated by expert MPI-SPECT/CT interpretation and coronary angiography.

Main Results:

  • Functionally relevant CAD was identified in 21% of patients.
  • In the validation cohort, hs-cTnI distinguished CAD, enabling rule-out in 14% with 95% sensitivity.
  • Serum and plasma hs-cTnI correlated strongly (r=0.921) with similar diagnostic accuracy; low plasma hs-cTnI (<0.5 ng/L) ruled out CAD in 10% in the application cohort.

Conclusions:

  • A single resting plasma hs-cTnI measurement can safely rule out functionally relevant CAD in approximately 10% of patients without known CAD.
  • This hs-cTnI-based strategy offers a potential non-invasive approach for CAD risk stratification.
  • Implementation on a clinical platform supports the bedside application of hs-cTnI for CAD rule-out.
Abstract