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Predictors of mortality and hospitalization in women with heart failure in the Digitalis Investigation Group trial.

Abstract
We performed a retrospective follow-up study of 1926 women with heart failure who participated in the Digitalis Investigation Group trial. Adjusted hazard ratios and 95% confidence intervals for covariates that were significant independent predictors of all-cause mortality were age in years (1.02; 1.01-1.03; P<0.001), NYHA class IH-IV (1.56; 1.31-1.87), diabetes (1.63; 1.36-1.95), glomerular filtration rate in mL/min/1.73 m(2) (0.99; 0.98-4).996; P=0.001), pulmonary congestion by chest x-ray (1.57; 1.22-2.02), left ventricular ejection fraction (LVEF) (0.99; 0.98-0.993; P<0.001), and use of digoxin (1.20; 1.02-1.42). Covariates that were significant independent predictors of hospitalization due to worsening heart failure were: nonwhite race (1.28; 1.03-1.58), NYHA class III-IV (1.55; 1.30-1.84), diabetes (1.75; 1.47-2.09), glomerular filtration rate as mL/min/1.73 m(2) (0.99; 0.986-0.996; P<0.001), pulmonary congestion by chest x-ray (1.42; 1.12-1.81), and use of ACE inhibitors (0.67; 0.49-0.91). Longer duration of heart failure, higher NYHA classes, diabetes, chronic kidney disease, pulmonary congestion, and lower LVEF were significant independent predictors of all-cause mortality, all-cause hospitalization, and hospitalization for heart failure in women with heart failure.
AuthorsAli Ahmed, Wilbert S Aronow, Jerome L Fleg
JournalAmerican journal of therapeutics (Am J Ther) 2006 Jul-Aug Vol. 13 Issue 4 Pg. 325-31 ISSN: 1075-2765 [Print] United States
PMID16858168 (Publication Type: Journal Article, Research Support, N.I.H., Extramural)
Topics
  • Aged
  • Confidence Intervals
  • Databases, Factual
  • Digitalis
  • Female
  • Follow-Up Studies
  • Heart Failure (epidemiology, mortality, physiopathology)
  • Hospitalization (statistics & numerical data)
  • Humans
  • Middle Aged
  • Predictive Value of Tests
  • Proportional Hazards Models
  • Retrospective Studies
  • Stroke Volume (physiology)
  • United States (epidemiology)

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