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Prediction of severe coronary artery disease and long-term outcome in patients undergoing vasodilator SPECT
K T Ho1, T D Miller, T F Christian
1Department of Internal Medicine and Cardiovascular Diseases, Mayo Clinic, Rochester, Minn 55905, USA.
Insights
Vasodilator thallium 201 imaging effectively predicts severe coronary artery disease (CAD) risk and long-term outcomes. Adding stress imaging data to clinical factors significantly improves prediction accuracy for patients with CAD.
Area of Science:
- Cardiology
- Nuclear Cardiology
- Diagnostic Imaging
Background:
- Vasodilator perfusion imaging's role in predicting severe coronary artery disease (CAD) and long-term prognosis requires further evaluation.
- Limited data exists on the predictive capabilities of vasodilator imaging for significant CAD and patient outcomes.
Purpose of the Study:
- To develop a predictive model for left main/3-vessel CAD using vasodilator thallium 201 imaging and coronary angiography.
- To assess the long-term prognostic value of this model in patients not undergoing angiography.
Main Methods:
- Developed a clinical model using age, sex, and prior myocardial infarction.
- Integrated vasodilator thallium 201 variables (ST-segment depression, summed reversibility score, lung uptake) into the model.
- Validated the model in angiographic and prognostic populations.
Main Results:
- The integrated model significantly improved prediction of severe CAD (chi2 increase from 32 to 114, P <.001).
- Accurate risk stratification: 9% of predicted low-risk vs. 57% of predicted high-risk patients had severe CAD.
- Long-term prognosis: 7-year cardiac event-free survival rates were 91% (low risk), 73% (intermediate risk), and 51% (high risk) (P <.001).
Conclusions:
- Clinical and vasodilator thallium 201 variables accurately predict severe CAD risk.
- Stress thallium 201 imaging provides incremental value over clinical variables.
- The developed model effectively predicts both severe CAD and long-term patient outcomes.
Background:
Vasodilator perfusion imaging has not been extensively evaluated for predicting severe coronary artery disease (CAD) or long-term prognosis.
Methods And Results:
The goals of this study were to develop a model to predict left main/3-vessel CAD in patients undergoing vasodilator thallium 201 imaging and coronary angiography (angiographic population) and to test the long-term prognostic value of this model in a separate cohort of patients who were not referred for angiography (prognostic population). In the angiographic population (n = 653) the chi2 value of the clinical model (containing the variables age, sex, and prior myocardial infarction) in the prediction of severe CAD was 32. The addition of 3 vasodilator Tl-201 variables (magnitude of ST-segment depression, summed reversibility score, and increased lung uptake) increased the model chi2 value to 114 (P <.001). Only 9% of predicted low-risk patients versus 57% of predicted high-risk patients had severe CAD. In the prognostic population (n = 521) survival rates free of cardiac death or myocardial infarction at 7 years were 91%, 73%, and 51%, respectively, for patient groups predicted to be at low, intermediate, and high risk of severe CAD (P <.001).
Conclusions:
Clinical and vasodilator Tl-201 variables can accurately predict the risk of severe CAD. Stress Tl-201 variables add incremental information to clinical variables. The same model also predicts patient outcome.