1. Predictors of mortality and morbidity in patients with chronic heart failure.
- Author
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Pocock SJ, Wang D, Pfeffer MA, Yusuf S, McMurray JJ, Swedberg KB, Ostergren J, Michelson EL, Pieper KS, and Granger CB
- Subjects
- Adult, Age Distribution, Aged, Cause of Death, Chronic Disease, Hospitalization statistics & numerical data, Humans, Middle Aged, Morbidity, Prognosis, Proportional Hazards Models, Risk Factors, Survival Analysis, Sweden epidemiology, Ventricular Dysfunction, Left mortality, Heart Failure mortality
- Abstract
Aims: We aimed to develop prognostic models for patients with chronic heart failure (CHF)., Methods and Results: We evaluated data from 7599 patients in the CHARM programme with CHF with and without left ventricular systolic dysfunction. Multi-variable Cox regression models were developed using baseline candidate variables to predict all-cause mortality (n=1831 deaths) and the composite of cardiovascular (CV) death and heart failure (HF) hospitalization (n=2460 patients with events). Final models included 21 predictor variables for CV death/HF hospitalization and for death. The three most powerful predictors were older age (beginning >60 years), diabetes, and lower left ventricular ejection fraction (EF) (beginning <45%). Other independent predictors that increased risk included higher NYHA class, cardiomegaly, prior HF hospitalization, male sex, lower body mass index, and lower diastolic blood pressure. The model accurately stratified actual 2-year mortality from 2.5 to 44% for the lowest to highest deciles of predicted risk., Conclusion: In a large contemporary CHF population, including patients with preserved and decreased left ventricular systolic function, routine clinical variables can discriminate risk regardless of EF. Diabetes was found to be a surprisingly strong independent predictor. These models can stratify risk and help define how patient characteristics relate to clinical course.
- Published
- 2006
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