Imaging in ESC clinical guidelines: chronic coronary syndromes

Antti Saraste1,2, Emanuele Barbato3, Davide Capodanno4

  • 1Turku PET Centre, Turku University Hospital, University of Turku, Kiinamllynkatu 4-8, Turku, Finland.

Insights

The 2019 European Society of Cardiology guidelines update chronic coronary syndromes (CCS) diagnosis and management. Key changes include revised pre-test probabilities for coronary artery disease (CAD) and updated recommendations for cardiac imaging strategies.

Area of Science:

  • Cardiology
  • Medical Guidelines

Background:

  • The European Society of Cardiology (ESC) released 2019 guidelines for chronic coronary syndromes (CCS).
  • These guidelines address six clinical scenarios of coronary artery disease (CAD), excluding acute coronary events.
  • Recent data have informed significant updates to diagnostic and management strategies.

Purpose of the Study:

  • To summarize novel concepts and revised recommendations from the 2019 ESC CCS guidelines.
  • To review recent data influencing major changes in cardiac imaging for suspected or known CCS.
  • To highlight updated diagnostic test performance and outcome impact.

Main Methods:

  • Review of contemporary cohort data for patients undergoing diagnostic testing for CAD.
  • Analysis of updated pre-test probability calculations for CAD.
  • Evaluation of new recommendations for diagnostic strategies in symptomatic patients.

Main Results:

  • Pre-test probabilities for CAD have been substantially revised downwards compared to 2013 guidelines.
  • A new concept of 'Clinical likelihood of CAD' has been introduced, emphasizing risk factors.
  • Non-invasive functional imaging, coronary CT angiography, or invasive angiography with functional evaluation are recommended initial strategies for diagnosing CAD.

Conclusions:

  • The 2019 ESC guidelines offer revised approaches to diagnosing and managing CCS.
  • Cardiac imaging plays a crucial role, often preferred over exercise ECG in non-invasive strategies.
  • Updated risk stratification and diagnostic pathways aim to improve patient outcomes in CAD.

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