作者
William T Abraham, Gregg C Fonarow, Nancy M Albert, Wendy Gattis Stough, Mihai Gheorghiade, Barry H Greenberg, Christopher M O'Connor, Jie Lena Sun, Clyde W Yancy, James B Young, OPTIMIZE-HF investigators and coordinators
发表日期
2008/7/29
期刊
Journal of the American College of Cardiology
卷号
52
期号
5
页码范围
347-356
出版商
American College of Cardiology Foundation
简介
Objectives
The aim of this study was to develop a clinical model predictive of in-hospital mortality in a broad hospitalized heart failure (HF) patient population.
Background
Heart failure patients experience high rates of hospital stays and poor outcomes. Although predictors of mortality have been identified in HF clinical trials, hospitalized patients might differ greatly from trial populations, and such predictors might underestimate mortality in a real-world population.
Methods
The OPTIMIZE-HF (Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure) is a registry/performance improvement program for patients hospitalized with HF in 259 U.S. hospitals. Forty-five potential predictor variables were used in a stepwise logistic regression model for in-hospital mortality. Continuous variables that did not meet linearity assumptions were transformed. All significant variables (p < 0.05) were …
引用总数
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