Improving the positive predictive value of exercise testing in women

Area of Science:

• Cardiology
• Exercise Physiology

Background:

• Exercise testing is crucial for diagnosing coronary heart disease.
• Improving the positive predictive value of exercise tests enhances diagnostic accuracy, particularly in women.

Purpose of the Study:

• To identify specific exercise test variables that can enhance the positive predictive value of exercise testing in women.
• To determine criteria for identifying women at low risk for coronary heart disease based on exercise test results.

Main Methods:

• A cohort study analyzed data from 1286 women and 1801 men referred to a chest pain clinic.
• Focus was on 136 women and 124 men with positive exercise tests, examining variables like exercise time, maximum heart rate, and ST recovery time.

Main Results:

• Exercise time >6 minutes, maximum heart rate >150 bpm, and ST recovery time <1 minute were key indicators of low risk in women.
• These variables identified 11.8%-41.2% of women as low risk (0%-11.5% disease risk).
• The positive predictive value improved from 47.8% to 61.5%, potentially reducing normal angiograms by 21.1%-54.9%.

Conclusions:

• A strategy to differentiate true from false positive exercise tests is beneficial for women.
• This approach proved less successful in identifying low-risk men.