Efficacy of Diagnostic Testing of Suspected Coronary Artery Disease: A Contemporary Review

Edward Woods1, Josiah Bennett1, Sanjay Chandrasekhar1

  • 1Department of Internal Medicine, Emory University, Atlanta, Georgia, USA.

Cardiology
|July 16, 2024
PubMed

Insights

Physicians should stratify patients for coronary artery disease (CAD) testing based on pretest probability. This approach optimizes diagnostic accuracy and resource allocation for suspected CAD.

Area of Science:

  • Cardiology
  • Diagnostic Imaging
  • Preventive Medicine

Background:

  • Coronary artery disease (CAD) is a leading cause of myocardial ischemia and acute coronary syndrome.
  • Early diagnosis of CAD is crucial for effective risk factor modification and treatment.

Purpose of the Study:

  • To review available diagnostic testing modalities for CAD.
  • To detail the risks and benefits associated with each testing method.
  • To provide guidance on selecting appropriate tests for patients with suspected CAD.

Main Methods:

  • Risk stratification based on pretest probability using clinical data and symptoms.
  • Categorization of patients into no further testing, direct invasive angiography, or intermediate risk stratification groups.
  • Utilizing non-invasive tests like coronary artery calcium score and exercise electrocardiogram for intermediate risk.

Main Results:

  • Patients with <5% pretest probability require no further testing.
  • Patients with high pretest probability may undergo direct invasive coronary angiography.
  • Intermediate-risk patients (5-15% probability) benefit from further risk stratification using coronary artery calcium score or exercise ECG.

Conclusions:

  • Coronary computed tomography angiography is preferred for intermediate-high-risk patients, with positron emission tomography or single-photon emission computed tomography as alternatives.
  • Selection of testing modality should consider individual patient characteristics and institutional availability.
  • Judicious use of CAD testing balances diagnostic utility against cost and procedural risks.
Abstract

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