Post hoc labeling an acute ECG as ischemic or non-ischemic based on clinical data: A necessary challenge

C Cato Ter Haar1, Cees A Swenne2

  • 1Cardiology Department, Amsterdam University Medical Center, Amsterdam, The Netherlands; Cardiology Department, Leiden University Medical Center, Leiden, The Netherlands.

PubMed

Insights

Developing algorithms for detecting myocardial ischemia requires a nuanced approach. A multi-point scale, rather than a simple binary classification, is essential for accurately labeling electrocardiograms (ECGs) based on ischemia probability.

Area of Science:

  • Cardiology
  • Biomedical Engineering
  • Medical Informatics

Background:

  • Electrocardiograms (ECGs) are vital for diagnosing myocardial ischemia in prehospital and early inhospital settings.
  • Developing accurate ECG-based ischemia detection algorithms necessitates comprehensive databases of acute ECGs.
  • These databases require a representative mix of ischemic and non-ischemic cases for algorithm validation.

Purpose of the Study:

  • To address the challenges in post hoc adjudication of acute ECGs for myocardial ischemia.
  • To propose a more accurate method for classifying ECGs in the context of dynamic ischemia.
  • To inform the development of advanced ECG-based myocardial ischemia detection algorithms.

Main Methods:

  • Utilized comprehensive clinical data, including diagnoses, cardiac imaging, and laboratory values, for post hoc ECG analysis.
  • Recognized the limitations of binary classification (ischemia present/absent) due to the fluctuating nature of ischemia.
  • Advocated for a multipoint probability scale (e.g., 5-point scale) for classifying ECGs based on the likelihood of ischemia at the time of recording.

Main Results:

  • Post hoc classification of acute ECGs cannot be reliably reduced to a simple binary division of definite cases and controls.
  • Myocardial ischemia is often a dynamic process, making a single-time-point binary classification insufficient.
  • A multipoint scale provides a more accurate representation of the probability of ischemia during ECG recording.

Conclusions:

  • The post hoc adjudication of ECGs for myocardial ischemia should employ a multipoint scale reflecting probability, not a binary classification.
  • This approach is crucial for the accurate development and validation of new ECG-based ischemia detection algorithms.
  • Future algorithm development should incorporate this probabilistic labeling concept for improved diagnostic accuracy.

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