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Relative value of clinical variables, treadmill stress testing, and Holter ST monitoring for postinfarction risk

R N Stevenson1, P Wilkinson, B G Marchant

  • 1Department of Cardiology, London Chest Hospital, United Kingdom.

Insights

Holter ST shift monitoring is a strong predictor of recurrent events after thrombolysis, outperforming clinical assessment and treadmill stress testing for postinfarction risk stratification.

Area of Science:

  • Cardiology
  • Clinical Medicine
  • Medical Diagnostics

Background:

  • Risk stratification is crucial for patients postmyocardial infarction treated with thrombolysis.
  • Early recurrent events can occur before standard postinfarction assessments are feasible.

Purpose of the Study:

  • To compare the effectiveness of clinical assessment, treadmill stress testing, and Holter ST analysis for postinfarction risk stratification.
  • To identify the most reliable predictor of recurrent events in patients treated with thrombolysis.

Main Methods:

  • A cohort of 256 patients treated with thrombolysis underwent early Holter ST monitoring.
  • Multivariate analysis was used to assess the predictive value of clinical variables (Killip class), Holter ST shift, and treadmill stress testing outcomes.
  • Recurrent events (death, reinfarction, unstable angina) and revascularization were tracked over an 8-month follow-up.

Main Results:

  • Holter ST shift and Killip class > or = 2 were independent predictors of recurrent events.
  • Holter ST shift, particularly with a cumulative duration > 60 minutes, was the strongest predictor.
  • In patients who completed stress testing, Killip class was the sole independent predictor of event-free survival; however, Holter ST shift predicted revascularization.

Conclusions:

  • Holter ST shift is a powerful independent predictor of adverse outcomes after thrombolysis.
  • Early recurrent events are common, often occurring before treadmill stress testing can be performed.
  • Holter monitoring provides valuable early risk stratification data in postinfarction patients treated with thrombolysis.

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