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Screening for the detection of coronary artery disease by using the exercise tolerance test in a preventive medicine

R L Dunn1, R N Matzen, S VanderBrug-Medendorp

  • 1Department of Preventive Medicine, Cleveland Clinic Foundation, OH 44195.

Insights

This study found that while age is a key factor in detecting coronary artery disease (CAD) using exercise tolerance tests, other risk factors like high cholesterol and chest pain history are also significant indicators.

Area of Science:

  • Cardiology
  • Preventive Medicine
  • Diagnostic Testing

Background:

  • Coronary artery disease (CAD) remains a leading cause of morbidity and mortality.
  • Effective screening and diagnostic criteria are crucial for early detection and intervention.
  • The exercise tolerance test (ETT) is a common tool for assessing cardiac function.

Purpose of the Study:

  • To identify patients with coronary artery disease (CAD) using the exercise tolerance test (ETT).
  • To develop improved criteria for ordering ETTs within a preventive medicine setting.
  • To evaluate the effectiveness of age-based ETT referrals.

Main Methods:

  • Retrospective analysis of 1,930 patients from the Cleveland Clinic Foundation's Preventive Medicine department undergoing ETTs.
  • Patients were referred primarily based on age criteria (40 years, then every two years after 50).
  • Comparison of patient groups with and without diagnosed CAD based on ETT results and clinical factors.

Main Results:

  • Twenty-five cases (1.3%) of CAD were detected among the 1,930 patients.
  • Age as the sole indication for testing identified 92% of CAD cases.
  • Factors significantly associated with CAD included age >40, high total cholesterol (>240 mg/dL), high triglycerides (>250 mg/dL), cholesterol/HDL ratio >4.5, and chest pain history.

Conclusions:

  • While age is a primary driver for ETT referrals in preventive medicine, incorporating additional risk factors can enhance detection rates.
  • Current age-based criteria are effective but may miss cases that could be identified with a broader risk factor assessment.
  • Further refinement of ETT referral guidelines is warranted to optimize CAD detection in asymptomatic populations.

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