A model to predict multivessel coronary artery disease from the exercise thallium-201 stress test
- Univ. of Virginia School of Medicine, Charlottesville (USA)
The aim of this study was to (1) determine whether nonimaging variables add to the diagnostic information available from exercise thallium-201 images for the detection of multivessel coronary artery disease; and (2) to develop a model based on the exercise thallium-201 stress test to predict the presence of multivessel disease. The study populations included 383 patients referred to the University of Virginia and 325 patients referred to the Massachusetts General Hospital for evaluation of chest pain. All patients underwent both cardiac catheterization and exercise thallium-201 stress testing between 1978 and 1981. In the University of Virginia cohort, at each level of thallium-201 abnormality (no defects, one defect, more than one defect), ST depression and patient age added significantly in the detection of multivessel disease. Logistic regression analysis using data from these patients identified three independent predictors of multivessel disease: initial thallium-201 defects, ST depression, and age. A model was developed to predict multivessel disease based on these variables. As might be expected, the risk of multivessel disease predicted by the model was similar to that actually observed in the University of Virginia population. More importantly, however, the model was accurate in predicting the occurrence of multivessel disease in the unrelated population studied at the Massachusetts General Hospital. It is, therefore, concluded that (1) nonimaging variables (age and exercise-induced ST depression) add independent information to thallium-201 imaging data in the detection of multivessel disease; and (2) a model has been developed based on the exercise thallium-201 stress test that can accurately predict the probability of multivessel disease in other populations.
- OSTI ID:
- 5854584
- Journal Information:
- American Journal of Medicine; (USA), Vol. 90:3; ISSN 0002-9343
- Country of Publication:
- United States
- Language:
- English
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DIAGNOSIS
HEART
RADIOISOTOPE SCANNING
AGE DEPENDENCE
EXERCISE
FORECASTING
MATHEMATICAL MODELS
PATIENTS
PROBABILITY
REGRESSION ANALYSIS
THALLIUM 201
BETA DECAY RADIOISOTOPES
BODY
CARDIOVASCULAR SYSTEM
COUNTING TECHNIQUES
DAYS LIVING RADIOISOTOPES
DISEASES
ELECTRON CAPTURE RADIOISOTOPES
HEAVY NUCLEI
ISOMERIC TRANSITION ISOTOPES
ISOTOPES
MATHEMATICS
NUCLEI
ODD-EVEN NUCLEI
ORGANS
RADIOISOTOPES
SECONDS LIVING RADIOISOTOPES
STATISTICS
THALLIUM ISOTOPES
550601* - Medicine- Unsealed Radionuclides in Diagnostics