Predictors of mortality in 6975 patients with chronic heart failure in the gruppo italiano per lo studio della streptochinasi nell'infarto miocardico-heart failure trial proposal for a nomogram

Simona Barlera, Luigi Tavazzi, Maria Grazia Franzosi, Roberto Marchioli, Elena Raimondi, Serge Masson, Renato Urso, Donata Lucci, Gian Luigi Nicolosi, Aldo P. Maggioni, Gianni Tognoni

Research output: Contribution to journalArticle

Abstract

Background-We developed a prognostic model to assess the risk of all-cause mortality in patients with chronic heart failure. Methods and Results-We examined 6975 patients with chronic heart failure enrolled in the Gruppo Italiano per lo Studio della Streptochinasi nell'Infarto Miocardico-Heart Failure (GISSI-HF) trial (3.9 years follow-up). Multivariable Cox regression models were developed to predict mortality (1969 deaths). By stepwise selection, the full final model included 25 predictors. A reduced model, considering the most significant variables ranked according to the Wald ?2 (P

Original languageEnglish
Pages (from-to)31-39
Number of pages9
JournalCirculation: Heart Failure
Volume6
Issue number1
DOIs
Publication statusPublished - Jan 2013

Keywords

  • Chronic heart failure
  • Mortality
  • Nomogram
  • Prognostic model

ASJC Scopus subject areas

  • Cardiology and Cardiovascular Medicine

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