ECHONOMY Tools for Echocardiographic Calculations Muhamed Saric, MD, PhD
New York University
Purpose
To
demonstrate the impact of disease prevalence (pretest probability) on
positive and negative predictive values given the sensitivity and the
specificity of the test. Although the calculator is used in the context of
stress testing for coronary artery disease, basic principles apply to any
testing.
Major Points
No matter how good an interpreting
physician is, some stress test results will be false positive and some false
negative. The primary determinant of the number of falsely read stress tests
is the prevalence of the coronary artery disease (CAD) in the test
population.
Calculator
Disease prevalence
(pretest probability of disease)
PPV: Proportion of all positive stress tests that are truly positive, i.e.
likelihood that a positive stress test is correct in identifying the
disease.
NPV: Proportion of all negative stress tests are truly negative; i.e.
likelihood that a negative stress test is correct in ruling out the disease.
Stress testing works best when the prevalence (pretest probability) of CAD
is moderate (10 - 30%). In low-risk populations, there is a large number of
false positives and only a few false negatives. In high-risk populations,
there is a large number of false negatives and a few false positives.
Kline JA, Johnson CL, Pollack CV Jr,
Diercks DB, Hollander JE, Newgard CD, Garvey JL. Pretest probability
assessment derived from attribute matching.
BMC Med
Inform Decis Mak. 2005 Aug 11;5:26.