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[Use of the ECG under physical load for assessing the status of ischemic heart disease patients]
Insights
Stress testing alone offers limited diagnostic accuracy for coronary artery disease. Combining clinical data with exercise variables improves diagnosis in patients with definite or probable angina.
Area of Science:
- Cardiology
- Diagnostic Imaging
- Exercise Physiology
Context:
- Coronary artery disease (CAD) diagnosis relies on various methods, including stress testing.
- The diagnostic accuracy of stress testing can be influenced by patient population characteristics, such as disease prevalence.
- Understanding these influences is crucial for accurate CAD assessment.
Purpose:
- To evaluate how the prevalence of coronary artery disease affects the diagnostic accuracy of stress testing.
- To correlate chest pain descriptions, ST-segment response to exercise, and coronary arteriography results.
- To identify predictors of CAD presence and extent using clinical and exercise data.
Summary:
- Stress testing's ability to predict coronary artery disease is limited in heterogeneous populations.
- ST-segment response alone provides minimal diagnostic information for CAD.
- Combining clinical data with other exercise variables enhances diagnostic ability, particularly in patients with definite or probable angina.
- Sex and chest pain classification influence pre-test risk assessment but do not fully overcome limitations in heterogeneous groups.
Impact:
- Highlights the limitations of relying solely on ST-segment response in stress testing for CAD diagnosis.
- Suggests that integrating clinical information with comprehensive exercise variables improves diagnostic power.
- Provides evidence for tailored diagnostic approaches based on patient subsets (e.g., definite, probable, or nonspecific angina).
- Informs clinical practice regarding the effective use of exercise testing in evaluating coronary artery disease.
Abstract:
To determine to what extent the diagnostic accuracy of stress testing is influenced by the prevalence of coronary artery disease, we correlated the description of chest pain, the ST-segment response to exercise, and the results of coronary arteriography in 1465 men and 580 women from the registry for the Coronary Artery Surgery Study (CASS). A positive ST-segment response increased the pre-test risk by only 7 to 20%, whereas a negative ST-segment response decreased the risk by only 2 to 28%. Although the percentage of false positive results differed between men and women (12 +/- 1% vs 53 +/-- 3%, p less than 0.001), this difference was not seen in a subgroup matched for prevalence of coronary artery disease. Thus, the ability of stress testing to predict coronary artery disease is limited in a heterogenous population in which the prevalence of disease can be estimated through classification of chest pain and the sex of the patient. Additional multivariant linear discriminant function analysis on treadmill and angiographic data from 500 men with definite angina, 584 men with probable angina and 267 men with nonspecific chest pain identified independent predictors of presence and extent of coronary disease. The discriminant function developed clinical, and clinical and exercise risk indices for each patient subset. Probability curves demonstrated that exercise testing provided more diagnostic information than clinical data alone in patients with definite and probable angina. However, exercise testing in men with nonspecific chest pain was of limited value since disease prevalence was already low. We conclude that (a) analysis of the ST-segment response to exercise provides limited information regarding the diagnosis of coronary artery disease when used alone, and (b) use of other exercise variables in addition to clinical data improves the diagnostic ability of the exercise test in men with definite or probable angina.