Prognosis by measurements of left ventricular function during exercise. Duke Noninvasive Research Working Group.

Journal Article (Journal Article)

UNLABELLED: This study was performed to determine whether gated equilibrium radionuclide angiogram measurements of left ventricular function during rest and exercise add independent information to clinical and catheterization data in predicting cardiac death. METHODS AND RESULTS: The study population consisted of 863 consecutive patients undergoing exercise gated equilibrium radionuclide angiography within 90 days of cardiac catheterization with data prospectively entered into the Duke Cardiovascular Database. All patients were symptomatic, medically treated, with significant coronary artery disease and had undergone follow-up for < or = 6 yr. A univariable and multivariable Cox regression analysis was utilized to evaluate the independent power in predicting 147 (17.0%) cardiac deaths. This risk-adjusted analysis revealed that only rest and exercise ejection fraction as well as maximum workload contained independent prognostic information; the nuclear variables contributed 63% of the total information within the model. A multivariable model including exercise ejection fraction and clinical history variables provided slightly more prognostic information than the combination of cardiac catheterization and clinical data. CONCLUSION: Multigated equilibrium radionuclide angiography is a key predictor of cardiac death when compared to clinical and cardiac catheterization data in patients with symptomatic, medically treated coronary artery disease. Thus, long-term outcome for patients may be determined by utilizing this noninvasive tool even when clinical and cardiac catheterization data are also available.

Full Text

Duke Authors

Cited Authors

  • Shaw, LJ; Heinle, SK; Borges-Neto, S; Kesler, K; Coleman, RE; Jones, RH

Published Date

  • January 1998

Published In

Volume / Issue

  • 39 / 1

Start / End Page

  • 140 - 146

PubMed ID

  • 9443753

International Standard Serial Number (ISSN)

  • 0161-5505


  • eng

Conference Location

  • United States