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Tools for Decision Making Sections
Author Bio
Introduction
Probability Theory
Case Study 1: Patient History
Bayes' Theorem
Currently selected section: Methods for Estimating Pre-test Probability
Estimating Likelihood Ratios
Sensitivity and Specificity
Interpreting Test Results
Calculating Post-test Probabilities
Post-test Probabilities in Clinical Practice
Conclusions: Case Study 1
Part II
Part III
References

 

Chapter 14: Tools for Decision Making: Methods for Estimating Pre-test Probability

        

 

You Answered:

Selection EChest pain score = 15

Incorrect

Table 1.5.2: Chest Pain Rule to Estimate Pre-test Probability
Attribute Coefficient RoundedCoefficient
Age >60 years +2.85 +3
Pain is exertional
+4.26 +4
Pain causes patient to stop all activities +2.76 +3
History of MI +3.90 +4
Pain relieved w/i 3 minutes by NTG +1.93 +2
> 20 pk-yrs smoking +3.93 +4
Male gender +5.37 +5
Reference: Sox HC, Hickam DH, Marton KI, et al. Using the patient's history to estimate the probability of coronary artery disease: a comparison of referral and primary care practice. Am J Medicine. 1990;89:7-14.

 

Using the chest pain rule in the table above, the patient is male (+5), over age 60 (+3), and he is a 20 pack-year smoker (+4). The sum of these scores is +12.



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