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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. - Age - as you age, pretest likelihood increases
    - Gender - women have lower pretest likelihood than men
    - Symptoms - those w/ symptoms have much higher pretest likelihood
  3. Bruce or Ellestad:
    - good for young ppl b/c the between-stage graduations of grade and speed are more aggresive
    USAFSAM or Naughton
    - Food for older ppl b/c more gradual between-stage progressions of grade and speed
  4. 12 lead ECG monitored at:
    - rest
    - last minute of each stage
    - each minute during recovery)
    BP monitored at:
    - rest
    - last minute of each stage unless response is abnormal
    - each minute during recovery
    RPE monitored at:
    - last minute of each stage
    - ask more often towards end of test
    - include angina or chest pain
    - dyspnea or SOB
    - ask about other discomforts
  5. - treadmill
    - leg ergometer
    - arm ergometer

5 True/False questions

  1. List some relative contraindications to exercise- chronic infectious disease
    - uncontrolled metabolic disease
    - hypertrophic cardiomyopathy


  2. When would you find value in doing a CAD diagnostic test?- treadmill
    - leg ergometer
    - arm ergometer


  3. What's the difference b/t absolute and relative contraindications for exercise testing?Absolute:
    - potential serious medical complications of ETT is completed
    - risks of performing ETT outweigh benefits
    - a potential medical concern is present
    - benefit vs. risk of performing ETT should be evaluated


  4. List some indicators for stopping an ETT.- 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)


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