Factors related to morbidity and mortality in patients with chronic heart failure with systolic dysfunction the HF-ACTION predictive risk score model

Christopher M. O'Connor, David J. Whellan, Daniel Wojdyla, Eric Leifer, Robert M. Clare, Stephen J. Ellis, Lawrence J. Fine, Jerome L. Fleg, Faiez Zannad, Steven J. Keteyian, Dalane W. Kitzman, William E. Kraus, David Rendall, Ileana L. Pina, Lawton S. Cooper, Mona Cooper, Kerry L. Lee

Research output: Contribution to journalArticle

125 Scopus citations

Abstract

Background-We aimed to develop a multivariable statistical model for risk stratification in patients with chronic heart failure with systolic dysfunction, using patient data that are routinely collected and easily obtained at the time of initial presentation. Methods and Results-In a cohort of 2331 patients enrolled in the HF-ACTION (Heart Failure: A Controlled Trial Investigating Outcomes of Exercise TraiNing) study (New York Heart Association class II-IV, left ventricular ejection fraction <0.35, randomized to exercise training and usual care versus usual care alone, median follow-up of 2.5 years), we performed risk modeling using Cox proportional hazards models and analyzed the relationship between baseline clinical factors and the primary composite end point of death or all-cause hospitalization and the secondary end point of all-cause death alone. Prognostic relationships for continuous variables were examined using restricted cubic spline functions, and key predictors were identified using a backward variable selection process and bootstrapping methods. For ease of use in clinical practice, point-based risk scores were developed from the risk models. Exercise duration on the baseline cardiopulmonary exercise test was the most important predictor of both the primary end point and all-cause death. Additional important predictors for the primary end point risk model (in descending strength) were Kansas City Cardiomyopathy Questionnaire symptom stability score, higher serum urea nitrogen, and male sex (all P<0.0001). Important additional predictors for the mortality risk model were higher serum urea nitrogen, male sex, and lower body mass index (all P<0.0001). Conclusions-Risk models using simple, readily obtainable clinical characteristics can provide important prognostic information in ambulatory patients with chronic heart failure with systolic dysfunction.

Original languageEnglish (US)
Pages (from-to)63-71
Number of pages9
JournalCirculation: Heart Failure
Volume5
Issue number1
DOIs
StatePublished - Jan 2012

Keywords

  • Cox proportional hazards models
  • Exercise
  • Heart failure
  • Risk assessment
  • Systolic heart failure

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

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