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Corrected QT dispersion improves diagnostic performance of exercise testing in diagnosing coronary artery disease
H Hasan-Ali1, H Hasan-Alia, M H Maghraby
1Department of Cardiovascular Medicine, Assiut University Hospital, Assiut, Egypt.
Insights
This study on exercise testing for angina found that ST depression or QTDc measurements significantly enhance diagnostic accuracy. These key indicators improve the test
Area of Science:
- Cardiology
- Diagnostic Imaging
- Exercise Physiology
Background:
- Exercise testing is crucial for diagnosing coronary artery disease (CAD) in patients with angina pectoris.
- Normal electrocardiograms (ECG) in patients with chest pain necessitate further diagnostic evaluation.
- Optimizing exercise test parameters can improve diagnostic performance.
Purpose of the Study:
- To identify the optimal combination of exercise testing parameters for improved diagnostic accuracy.
- To evaluate predictors of coronary artery disease (CAD) in patients with angina and normal baseline ECG.
- To enhance the sensitivity and negative predictive value of exercise tests.
Main Methods:
- Conducted coronary angiography and exercise testing on 112 patients with angina pectoris and normal ECG.
- Analyzed univariate predictors including age, sex, hypertension, smoking, chest pain characteristics, and blood pressure response.
- Utilized multivariate logistic regression to assess the impact of ST depression and peak exercise QTDc on diagnostic performance.
Main Results:
- Univariate predictors for CAD included age > 40, male sex, hypertension, smoking, exertional chest pain, specific blood pressure drops, heart rate recovery, and ST depression > 1 mm.
- Multivariate analysis revealed that ST depression > 1 mm or peak exercise QTDc > 70 ms significantly improved test sensitivity and negative predictive value.
- These parameters did not significantly decrease the specificity of the exercise test.
Conclusions:
- Exercise-induced ST depression > 1 mm or peak exercise QTDc > 70 ms are valuable additions for improving exercise test diagnostic performance.
- These specific parameters enhance the ability to rule out coronary artery disease.
- Optimized exercise testing protocols can lead to more accurate diagnoses in patients with suspected angina.
Abstract:
To determine the best combination of parameters that would improve the diagnostic performance of exercise testing, coronary angiography plus exercise testing were done on 112 patients with angina pectoris and normal electrocardiogram. The univariate predictors of coronary artery disease included: age > or = 40 years, male sex, hypertension, smoking, development of exertional chest pain, decrease in systolic blood pressure (BP) > or = 10 mmHg or systolic BP 3 min post-exercise > 90% of peak, heart rate drop < 12 beats/min 1 min postexercise, exercise-induced ST-segment depression > or = 1 mm. Multivariate logistic regression analysis showed that using either ST depression > or = 1 mm or peak exercise QTDc > 70 ms significantly improved sensitivity and negative predictive value of the test without a significant decrease in specificity.
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