# Predictive Implications of Stress Testing (Chapt. 14) 1979, Weiner and coworkers. Factors to improve the accuracy of stress testing

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1 Predictive Implications of Stress Testing (Chapt. 14) Sensitivity Specificity Predictive Value Patient Risk 1979, Weiner and coworkers Stress testing has very little diagnostic value. A positive stress test increased the post-risk of CAD by only 6-20%, and a negative stress test decreased risk by only 2-28%. 1995, Ellstad, pg 353 The predictive power of the normal as well as the abnormal maximal stress test can provide us with a very useful tool in the clinical management of CAD patients. Factors to improve the accuracy of stress testing Bayes Theorem application Patient selection exclude WPW, BBB, etc. Aggressive termination criteria Additional measurements (HR, BP, exercise time) Predictive value and Relative Risk Predictive Value of a Stress Test A measure of how accurately an exercise test identifies an individual with CAD or w/o CAD depends on the sensitivity and specificity of the test Relative Risk A measure of the ability of the stress test to predict future cardiac events depends on the predictive value of the test and the population risk Sensitivity = ability to detect disease when it is present. Specificity = ability to correctly exclude disease when it is absent. Most common criteria used are: CAD is determined from angiography (>70% occlusion of at least one vessel Positive test is determined from ST segment changes of >1 mm and other abnormal test results.

3 Sensitivity Example 2 Exercise testing sensitivity 100 women take a stress test (4 have CAD, 96 do not) 10 positive stress tests 2 TP, 8 FP 90 negative stress tests 2 FN, 88 TN Sensitivity = TP/(TP + FN) x 100 = 2/(2 + 2) x 100 = 50% This poor sensitivity (aver 68%) has led some investigators to suggest routine exercise testing is nearly useless for the management of patients with CAD (Thompson 01, pg 21) Sensitivity ranges from 23-90%, depending on the population studied (Bayes theorem) Test factors that influence sensitivity (ACSM) Enhance Decrease If a treadmill protocol has a 68% sensitivity, what does this tell you? maximal test multi-lead EKG additional data submaximal test insufficient EKG cardiac drugs (beta blockers, nitrates, calcium channel blockers) pre-existing EKG changes (LVH, LBBB, WPW) That 68% of individuals with CAD are detected with this test. What is specificity? Specificity = (TN / all patients without CAD) x 100 Specificity = ability to correctly exclude disease when it is absent Spec = TN/(TN + FP) x 100 A test should not be classified as negative unless the patient has attained an adequate level of cardiovascular stress, generally > 85% predicted maximal HR. Specificity in clinical exercise testing is approximately 77% ACSM pg 126

4 What type of error do you risk by not performing a maximal exercise test? False Negative Specificity is increased by: Not testing patients with pre-existing abnormal resting EKG (false positives) Hypertrophy of the left ventricle Certain medications (digitalis) mitral valve prolapse anemia female gender Specificity = TN/(TN + FP) x 100 Specificity Example yr-old baseball players are screened for CAD (20 CAD, 80 no CAD) 40 have a positive stress test (18 TP, 22 FP) 60 have a negative stress test (2 FN, 58 TN) What is the specificity of this test? Spec. = TN/(TN + FP) x 100 = 58/( ) x 100 = 72.5% Sensitivity and Specificity of Various Stress Tests Stress Test Sensitivity (%) Specificity (%) Exercise EKG Exercise Echo Dobutamine echo Exercise SPECT SPECT = single photon emission computed tomography (thallium or Tc) Predictive Value of a Test Relative Risk The ability of a stress test to correctly identify CAD or no-cad PV for a positive test = TP/ (TP + FP) x 100 The proportion of true positive of all positive results PV for a negative test = TN / (TN + FN) x 100 The proportion true negatives of all negative results The predictive value tells you the accuracy of the exercise test HOWEVER-- To predict relative risk for an individual, the PV must be interpreted in light of the patient s age, gender, symptoms, and amount of ST segment depression

5 Patient relative risk If a patient has a positive stress test his risk is dependent on-- the sensitivity of the test the specificity of the test the patient population RR = risk of having CAD with a positive stress test/risk of having CAD with a negative stress test Relative Risk, example A patient has a relative risk of 5. What does this mean? He is 5 times more likely to have CAD since he had a positive stress test than if he had a negative stress test Stress Test results and Survival Conclusions What is meant by the test sensitivity? Ability to correctly identify patients with CAD What is meant by the test specificity? Ability to correctly clear those without disease How does one calculate the predictive value of a test? (% identified correctly) PV+ = TP/all positive results PV- = TN/all negative results Conclusions, cont. What can enhance the predictive value of exercise testing? (max test, additional measurements, patient selection) What needs to be considered to determine the relative risk for an individual? Predictive value of a test & patient population risk So, if all this is done, is it worthwhile performing a stress to screen for CAD disease? Most agree yes

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