PUMA
Istituto di Fisiologia Clinica     
Senni M., Parrella P., De Maria R., Cottini C., Bohm M., Ponikowski P., Filippatos E., Tribouilloy C., Di Lenarda A., Oliva F., Pulignano G., Cicoira M., Nodari S., Porcu M., Cioffi G., Gabrielli N., Parodi O., Ferrazzi P., Gavazzi A. Predicting heart failure outcome from cardiac and comorbid conditions: The 3C-HF score. In: International Journal of Cardiology, vol. 1 pp. 1 - 6. Elsevier, 2011.
 
 
Abstract
(English)
Background: Prognostic stratification in heart failure (HF) is crucial to guide clinical management and treatment decision-making. Currently available models to predict HF outcome have multiple limitations. We developed a simple risk stratification model, based on routinely available clinical information including comorbidities, the Cardiac and Comorbid Conditions HF (3C-HF) Score, to predict all-cause 1-year mortality in HF patients. Methods: We recruited in a cohort study 6274 consecutive HF patients at 24 Cardiology and Internal Medicine Units in Europe. 2016 subjects formed the derivation cohort and 4258 the validation cohort.Weentered information on cardiac and comorbid candidate prognostic predictors in amultivariablemodel to predict 1-year outcome.
DOI: 10.1016/j.ijcard.2011.10.071
Subject Heart failure
Comorbidities
Prognosis
Risk models


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