[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.
Abstract

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