Circulation, Vol 59, 286-296, Copyright © 1979 by American Heart Association
K Cohn, B Kamm, N Feteih, R Brand and N Goldschlager
In this study we assessed whether various responses to exercise testing
could be quantified in order to derive the probabilities of presence of
coronary disease, and if present, to assess its severity. A treadmill score
based on the exercise response was determined in 405 patients who had both
treadmill tests and coronary angiograms. The score was derived using
discriminant function analysis, by weighting and combining depth and
configuration of ST depression (downsloping, horizontal or slowly
upsloping), timing onset and duration of ischemia, grading ventricular
arrhythmias, heart rate and blood pressure change, coexistence of
exercise-induced chest pain and sex. The treadmill score was effective in
detecting coronary disease (lesions with an greater than or equal to 50%
narrowing), with a predictive accuracy (PA) (probability that a subject
manifesting a positive test has disease) of 87%, a true negative rate (TNR)
(probability of a subject with a negative test having no disease) of 80%,
and sensitivity of 94%. The treadmill score also detected severe disease
(triple-vessel, main left and/or greater than 90% proximal occlusion of the
left anterior descending artery), with a PA of 73%, TNR of 79% and
sensitivity of 82%. We conclude that the exercise response, expressed
numerically as a treadmill score, permits analysis of most of the relevant
data from exercise testing, increases test accuracy by 10-15% compared with
standard criteria for treatmill test interpretation, and enables the
derivation of probability statements for presence and severity of coronary
disease. The validity of any prediction on the basis of exercise
performance may thus be quantitatively judged.
ARTICLES
Use of treadmill score to quantify ischemic response and predict extent of coronary disease
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