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Holter monitor ST segment evaluation in hospitalized patients with unstable angina

D M Demke1, O I Linet, L K Wakefield

  • 1Upjohn Company, Kalamazoo, MI 49001.

Artery
|January 1, 1987
PubMed

Insights

Ambulatory Holter monitoring showed poor correlation between angina attacks and ST segment shifts in unstable angina patients. This diagnostic method is not suitable for documenting these events.

Area of Science:

  • Cardiology
  • Diagnostic Imaging
  • Clinical Monitoring

Background:

  • Unstable angina requires accurate assessment of ischemic events.
  • Ambulatory Holter monitoring is used to detect cardiac abnormalities.
  • Correlation between angina symptoms and electrocardiographic changes is crucial for diagnosis.

Purpose of the Study:

  • To evaluate the correlation between angina attacks and ST segment changes during ambulatory Holter monitoring in patients with unstable angina.
  • To assess the diagnostic performance of Holter monitoring for detecting ischemia during angina episodes.

Main Methods:

  • Forty hospitalized patients with unstable angina underwent 24-hour Holter monitoring.
  • Holter recordings were analyzed for ST segment shifts (>= 1.5 mm, >= 60 seconds).
  • Angina attacks were logged, and correlation with ST shifts was assessed using Youden's J statistic.

Main Results:

  • Only 20.3% of angina attacks corresponded with ST segment shifts on Holter recordings.
  • Of 159 recorded ST shifts, only 9.4% occurred during angina episodes.
  • Youden's J statistic indicated poor performance (aggregate J = 0.203), with slight improvement in patients with confirmed coronary artery disease (J = 0.263).
  • Revising criteria (ST shifts >= 1 mm, >= 30 seconds) did not significantly improve detection rates.

Conclusions:

  • Ambulatory Holter monitoring is not a suitable method for documenting ST segment shifts during angina attacks in unstable angina patients.
  • The low correlation suggests limitations in using Holter monitoring for objective assessment of ischemia during symptomatic episodes.
  • Further research may be needed to explore alternative or improved monitoring techniques.

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