A multivariate model for predicting mortality in patients with heart failure and systolic dysfunction Journal Articles uri icon

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abstract

  • BACKGROUND: Heart failure is a leading cause of morbidity and mortality, but there are no reliable models based on readily available clinical variables to predict outcomes in patients taking angiotensin-converting enzyme (ACE) inhibitors. METHODS: A multivariate statistical model to predict mortality was developed in a random sample (n = 4277 patients [67%]) of the 6422 patients enrolled in the Digitalis Investigation Group trial who had a depressed ejection fraction (

authors

  • Brophy, James M
  • Dagenais, Gilles R
  • McSherry, Frances
  • Williford, William
  • Yusuf, Salim

publication date

  • March 2004