Performance of ST and ventricular gradient difference vectors in electrocardiographic detection of acute myocardial

Roderick W Treskes1, C Cato Ter Haar1, Sumche Man1

  • 1Department of Cardiology, Leiden University Medical Center, Leiden, the Netherlands.

Insights

Serial electrocardiogram (ECG) analysis of ST and ventricular gradient (VG) vectors can improve the diagnosis of acute myocardial ischemia. This method shows equal or superior performance compared to ST-elevation myocardial infarction (STEMI) criteria.

Area of Science:

  • Cardiology
  • Medical Diagnostics
  • Electrocardiography

Background:

  • Acute coronary occlusion can cause myocardial ischemia, which is challenging to diagnose using standard ECG methods.
  • Serial ECG analysis offers a potential improvement for diagnosing myocardial ischemia.

Purpose of the Study:

  • To evaluate the diagnostic performance of serial ECG analysis of ST and ventricular gradient (VG) vectors for detecting acute myocardial ischemia.
  • To compare the efficacy of serial ECG analysis with conventional ST-elevation myocardial infarction (STEMI) criteria.

Main Methods:

  • ECG pairs from 84 cases and 398 controls were analyzed.
  • ST and VG vectors were computed for each ECG, and difference vectors (ΔST, ΔVG) were calculated.
  • Receiver operating characteristic (ROC) analysis was performed to assess diagnostic accuracy.

Main Results:

  • Serial analysis of ΔST and ΔVG vectors demonstrated high diagnostic performance (AUCs 0.906 and 0.880, respectively).
  • Serial ECG analysis achieved higher specificity (96.5% for ΔST) compared to STEMI criteria (89.1%) at matched sensitivity.
  • Sensitivity for serial analysis (78.6% for ΔST) was comparable to STEMI criteria (70.2%).

Conclusions:

  • Serial ECG analysis of ST and VG vectors is a valuable tool for diagnosing acute myocardial ischemia.
  • This approach performs comparably or better than current STEMI criteria.
  • Further validation in triage settings for patients with suspected acute myocardial ischemia is recommended.
Abstract

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