The MUSIC Risk score: a simple method for predicting mortality in ambulatory patients with chronic heart failure

Autor: Rafael, Vazquez, Antoni, Bayes-Genis, Iwona, Cygankiewicz, Domingo, Pascual-Figal, Lilian, Grigorian-Shamagian, Ricardo, Pavon, Jose R, Gonzalez-Juanatey, José M, Cubero, Luis, Pastor, Jordi, Ordonez-Llanos, Juan, Cinca, Antoni Bayes, de Luna, Mariana, Noguero
Rok vydání: 2009
Předmět:
Zdroj: EUROPEAN HEART JOURNAL
r-IIB SANT PAU. Repositorio Institucional de Producción Científica del Instituto de Investigación Biomédica Sant Pau
instname
ISSN: 1522-9645
0195-668X
Popis: The prognosis of chronic heart failure (CHF) is extremely variable, although generally poor. The purpose of this study was to develop prognostic models for CHF patients. A cohort of 992 consecutive ambulatory CHF patients was prospectively followed for a median of 44 months. Multivariable Cox models were developed to predict all-cause mortality (n = 267), cardiac mortality (primary end-point, n = 213), pump-failure death (n = 123), and sudden death (n = 90). The four final models included several combinations of the same 10 independent predictors: prior atherosclerotic vascular event, left atrial size > 26 mm/m(2), ejection fraction 1.000 ng/L, and troponin-positive. On the basis of Cox models, the MUSIC Risk scores were calculated. A cardiac mortality score > 20 points identified a high-risk subgroup with a four-fold cardiac mortality risk. A simple score with a limited number of non-invasive variables successfully predicted cardiac mortality in a real-life cohort of CHF patients. The use of this model in clinical practice identifies a subgroup of high-risk patients that should be closely managed.
Databáze: OpenAIRE