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Advisor(s)
Abstract(s)
BACKGROUND:
Cost-effectiveness is an increasingly important factor in the choice of a test or therapy.
OBJECTIVE:
To assess the cost-effectiveness of various methods routinely used for the diagnosis of stable coronary disease in Portugal.
METHODS:
Seven diagnostic strategies were assessed. The cost-effectiveness of each strategy was defined as the cost per correct diagnosis (inclusion or exclusion of obstructive coronary artery disease) in a symptomatic patient. The cost and effectiveness of each method were assessed using Bayesian inference and decision-making tree analyses, with the pretest likelihood of disease ranging from 10% to 90%.
RESULTS:
The cost-effectiveness of diagnostic strategies was strongly dependent on the pretest likelihood of disease. In patients with a pretest likelihood of disease of ≤50%, the diagnostic algorithms, which include cardiac computed tomography angiography, were the most cost-effective. In these patients, depending on the pretest likelihood of disease and the willingness to pay for an additional correct diagnosis, computed tomography angiography may be used as a frontline test or reserved for patients with positive/inconclusive ergometric test results or a calcium score of >0. In patients with a pretest likelihood of disease of ≥ 60%, up-front invasive coronary angiography appears to be the most cost-effective strategy.
CONCLUSIONS:
Diagnostic algorithms that include cardiac computed tomography angiography are the most cost-effective in symptomatic patients with suspected stable coronary artery disease and a pretest likelihood of disease of ≤50%. In high-risk patients (pretest likelihood of disease ≥ 60%), up-front invasive coronary angiography appears to be the most cost-effective strategy. In all pretest likelihoods of disease, strategies based on ischemia appear to be more expensive and less effective compared with those based on anatomical tests.
Description
Keywords
Bayes Theorem Cardiac Imaging Techniques Coronary Artery Disease Cost-Benefit Analysis Decision Trees Exercise Test False Negative Reactions False Positive Reactions Humans Portugal Reference Values Sensitivity and Specificity HSM IMA
Citation
Arq Bras Cardiol. 2014 Apr;102(4):391-402