The use of radionuclide angiography in the diagnosis of coronary artery disease--a logistic regression analysis.

Published

Journal Article

We applied logistic regression analysis to a group of 736 patients with chest pain to determine which radionuclide angiographic (RNA) parameters were most useful in the diagnosis of significant coronary artery disease. The most useful parameters were exercise ejection fraction, exercise heart rate, "ischemia score," and the presence of a regional wall motion abnormality at exercise. Ten clinical variables were used in one logistic regression model to estimate each patient's pretest probability of disease. A second logistic regression model considered these clinical variables and the four important RNA parameters to estimate each patient's posttest probability. These models were applied prospectively to a group of 76 patients with chest pain who did not have a high pretest probability of disease. Twenty-four patients (32%) could be diagnosed with 90% probability; 32 patients (42%) could be diagnosed with 85% probability. RNA testing is therefore helpful in the noninvasive diagnosis of coronary artery disease. However, a majority of patients who do have a low or intermediate pretest probability of disease will require additional testing for a definitive diagnosis.

Full Text

Duke Authors

Cited Authors

  • Gibbons, RJ; Lee, KL; Pryor, D; Harrell, FE; Coleman, RE; Cobb, FR; Rosati, RA; Jones, RH

Published Date

  • October 1, 1983

Published In

Volume / Issue

  • 68 / 4

Start / End Page

  • 740 - 746

PubMed ID

  • 6616772

Pubmed Central ID

  • 6616772

International Standard Serial Number (ISSN)

  • 0009-7322

Digital Object Identifier (DOI)

  • 10.1161/01.cir.68.4.740

Language

  • eng

Conference Location

  • United States