Echocardiographic assessment of patients with infectious endocarditis: prediction of risk for complications

J Am Coll Cardiol. 1991 Nov 1;18(5):1191-9. doi: 10.1016/0735-1097(91)90535-h.


To enhance the echocardiographic identification of high risk lesions in patients with infectious endocarditis, the medical records and two-dimensional echocardiograms of 204 patients with this condition were analyzed. The occurrence of specific clinical complications was recorded and vegetations were assessed with respect to predetermined morphologic characteristics. The overall complication rates were roughly equivalent for patients with mitral (53%), aortic (62%), tricuspid (77%) and prosthetic valve (61%) vegetations, as well as for those with nonspecific valvular changes but no discrete vegetations (57%), although the distribution of specific complications varied considerably among these groups. There were significantly fewer complications in patients without discernible valvular abnormalities (27%). In native left-sided valve endocarditis, vegetation size, extent, mobility and consistency were all found to be significant univariate predictors of complications. In multivariate analysis, vegetation size, extent and mobility emerged as optimal predictors and an echocardiographic score based on these factors predicted the occurrence of complications with 70% sensitivity and 92% specificity in mitral valve endocarditis and with 76% sensitivity and 62% specificity in aortic valve endocarditis.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Anti-Bacterial Agents / therapeutic use
  • Aortic Valve / diagnostic imaging
  • Echocardiography*
  • Endocarditis, Bacterial / complications
  • Endocarditis, Bacterial / diagnostic imaging*
  • Endocarditis, Bacterial / drug therapy
  • Endocarditis, Bacterial / pathology
  • Female
  • Heart Valve Prosthesis
  • Humans
  • Male
  • Middle Aged
  • Mitral Valve / diagnostic imaging
  • Predictive Value of Tests
  • Regression Analysis
  • Sensitivity and Specificity
  • Survival Rate


  • Anti-Bacterial Agents