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Electrocardiographic diagnosis of reperfusion during thrombolytic therapy in acute myocardial infarction

P A Doevendans1, A P Gorgels, R van der Zee

  • 1Department of Cardiology, Academic Hospital Maastricht, The Netherlands.

Insights

Early electrocardiographic signs predict successful reperfusion in acute myocardial infarction patients undergoing thrombolytic therapy. ST-segment normalization and specific arrhythmias indicate a patent vessel, aiding treatment assessment.

Area of Science:

  • Cardiology
  • Medical Imaging
  • Clinical Medicine

Background:

  • Acute myocardial infarction (AMI) requires prompt reperfusion therapy.
  • Thrombolytic therapy is a common treatment for AMI.
  • Assessing reperfusion success is critical for patient outcomes.

Purpose of the Study:

  • To identify early electrocardiographic (ECG) indicators of successful reperfusion in patients with AMI treated with thrombolytics.
  • To correlate specific ECG findings with coronary angiography results indicating a patent vessel.

Main Methods:

  • Continuous 12-lead ECG monitoring was conducted in 61 AMI patients receiving thrombolytic therapy.
  • Coronary angiography was performed within 90 minutes to assess vessel patency (Thrombolysis in Myocardial Infarction [TIMI] trial 2 or 3).
  • ECG changes were analyzed for correlation with reperfusion status.

Main Results:

  • A patent vessel (TIMI 2 or 3) was found in 44 out of 61 patients.
  • Early reperfusion signs included ST-segment normalization (LR 16.0), terminal T-wave inversion (LR 10.6), accelerated idioventricular rhythm (LR 6.0), and increased ventricular premature complexes (LR 2.5).
  • 96% of patients reported chest pain relief after 60 minutes; however, 61% showed increased ST-segment deviation and 69% experienced increased chest pain during reperfusion.

Conclusions:

  • Specific ECG changes are reliable early indicators of successful reperfusion in AMI patients treated with thrombolytics.
  • ECG monitoring can complement angiography in assessing treatment efficacy.
  • Understanding these ECG patterns aids in timely clinical decision-making for AMI management.

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