Prospective Evaluation of a Clinical and Exercise-test Model for the Prediction of left Main Coronary Artery Disease

Thomas H. Lee, E. Francis Cook and Lee Goldman

Medical Decision Making, 1986, vol. 6, issue 3, 136-144

Abstract: In a multivariate logistic regression analysis of data from 508 patients, only two clinical factors, age and typicality of pain, were independently significant predictors of left main coronary artery disease. The resulting multivariate equation was prospectively applied to another 370 patients to derive pre-exercise-test (ETT) probabilities of left main coronary artery disease, and these pre-ETT probabilities were combined with literature-derived like lihood ratios for various ETT findings to derive post-ETT probabilities. This model, which can be displayed in simple graphic form, accurately predicted the probability of left main coronary artery disease when prospectively evaluated in this independent validation set of patients. The likelihood of left main coronary artery disease was 16% when the ETT increased the probability, and 4% when it decreased the probability (p

Keywords: Key words: exercise test model; left main coronary artery disease. (Med Decis Making 6:136-144; 1986) (search for similar items in EconPapers)
Date: 1986
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:medema:v:6:y:1986:i:3:p:136-144

DOI: 10.1177/0272989X8600600302

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