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Updated: Jul 5, 2026

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
Published on: August 9, 2024
[Cost-effect clinical analysis in choice of methods of coronary heart disease diagnosis]
Insights
For diagnosing coronary heart disease (CHD), the treadmill test is the most cost-effective initial diagnostic method across all patient risk groups. This study evaluated various diagnostic tools for optimal CHD detection.
Area of Science:
- Cardiology
- Diagnostic Imaging
- Health Economics
Background:
- Coronary heart disease (CHD) diagnosis requires effective and economical methods.
- Patient stratification by CHD probability is crucial for selecting appropriate diagnostic strategies.
Purpose of the Study:
- To determine the optimal diagnostic methods for coronary heart disease (CHD) based on patient probability.
- To conduct a cost-effectiveness analysis of various CHD diagnostic techniques.
Main Methods:
- A cohort of 102 patients with suspected CHD underwent various non-invasive tests including Holter ECG monitoring, treadmill testing, dobutamine stress echocardiography (echo-CG), stress single photon emission computed tomography (SPECT), and multislice computed tomography (MSCT).
- Coronary angiography was used as a gold standard follow-up.
- Cost-effectiveness analysis was applied to evaluate diagnostic method efficacy.
Main Results:
- Multislice computed tomography (MSCT) demonstrated the highest specificity (96%), while stress single photon emission computed tomography (SPECT) showed the highest sensitivity (96%).
- The treadmill test, despite moderate specificity and sensitivity, proved to be the most cost-effective diagnostic tool across all CHD probability groups.
- Diagnostic test efficacy was highest in patients with moderate CHD probability.
Conclusions:
- The treadmill test is recommended as the initial diagnostic step for suspected coronary heart disease (CHD).
- Cost-effectiveness analysis supports the treadmill test as a primary, economical diagnostic approach for CHD.
Aim:
To select optimal methods of coronary heart disease (CHD) diagnosis in patients with different CHD probability using cost-effect analysis.
Material And Methods:
The trial included 102 patients admitted to hospital because of suspected CHD. The initial CHD probability was determined according to G.A. Diamond table. CHD diagnosis was made with application of Holter ECG monitoring (88 patients), treadmill test (67 patients), dobutamine stress echocardiography (echo-CG, 31 patients), stress single photon emission computed tomography (SPECT, 30 patients), multislice computed tomography (MSCT) with contrast study of coronary arteries (14 patients). Non-invasive tests were followed by coronaroangiography. The cost-effect method was used for analysis of the above methods cost efficacy.
Results:
MSCT specificity was 96%, specificity of the other methods - 70-75%. SPECT was most sensitive (96%), Holter ECG monitoring was the least sensitive (49%). Efficacy of all the diagnostic tests was maximal in moderate probability of CHD. In spite of its moderate specificity and sensitivity, treadmill test was the cheapest and, therefore, most cost effective in all the groups. Specification of CHD probability by 1% required 17.4 roubles in low risk groups, 9.4 and 24.7 roubles in moderate and high risk, respectively.
Conclusion:
CHD diagnosis should be started with treadmill test.
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