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5 Written questions

5 Multiple choice questions

  1. - Diagnosis - do they have CVD (most used)
    - Disease severity and prognosis in patients w/ CAD
    - Evaluation of medical therapy
    - Stratify patients for further medical intervention (e.g. determine if person is good patient for heart transplant)
    - Functional capacity for activity counseling and exe program
  2. - treadmill
    - leg ergometer
    - arm ergometer
  3. - likelihood that diagnostic test will lead to a positive CAD diagnosis
  4. - 3-4 on angina scale
    - drop in SBP >= 10 mmHg
    - ventricular tachycardia
    - fatigue
  5. - Age - as you age, pretest likelihood increases
    - Gender - women have lower pretest likelihood than men
    - Symptoms - those w/ symptoms have much higher pretest likelihood

5 True/False questions

  1. List some relative contraindications to exercise- unstable angina
    - acute infection
    - uncontrolled arrhythmia

          

  2. Describe the sensitivity, specificity of exercise testing diagnostics with ECG. What is a better method?1) Sensitivity - % of persons test who have CAD and show positive test
    2) Specificity - % of persons test that don't have CAD and show negative test
    3) Predictive Value - how accurately a test result correctly identifies a presence or absence of CAD
    4) Positive predication value - % of subjects w/ a positive test that have CAD
    5) Negative predicted value - % subjects w/ negative who don't have CAD

          

  3. Lists the tests to determine true positive and true negatives1) Determine # of ppl in population w/ disease
    2) Determine # w/ disease that will have '+' testing (# w/ disease x 0.7)
    3) Determine # w/ disease that will have '-' test (Total diseased # - # w/ '+' test)
    4) Do the same for those w/o disease

          

  4. When would you find value in doing a CAD diagnostic test?- 3-4 on angina scale
    - drop in SBP >= 10 mmHg
    - ventricular tachycardia
    - fatigue

          

  5. What is the formula used to determine positive predictive value and negative predictive value- Positive Predictive Value = True Positive/(TP + false positive)
    - Negative Predictive Value = True Negative/ (TF + False Negative)