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Predictors of In-Hospital Mortality in Patients Hospitalized for Heart Failure

Insights From the Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients With Heart Failure (OPTIMIZE-HF)

William T. Abraham, MD, FACP, FACC^_*,_*, Gregg C. Fonarow, MD, FACC, Nancy M. Albert, PhD, RN, Wendy Gattis Stough, PharmD, Mihai Gheorghiade, MD^||, Barry H. Greenberg, MD, FACC^¶, Christopher M. O'Connor, MD, FACC^#, Jie Lena Sun, MS^_**, Clyde W. Yancy, MD, FACC, James B. Young, MD, FACC on behalf of the OPTIMIZE-HF Investigators and Coordinators

^_* Division of Cardiology, The Ohio State University, Columbus, Ohio
Department of Medicine, UCLA Medical Center, Los Angeles, California
George M. and Linda H. Kaufman Center for Heart Failure, Cleveland Clinic Foundation, Cleveland, Ohio
Department of Medicine, Duke University Medical Center, Durham, North Carolina, and Department of Clinical Research, Campbell University School of Pharmacy, Research Triangle Park, North Carolina
^|| Division of Cardiology, Northwestern University, Feinberg School of Medicine, Chicago, Illinois
^¶ Department of Medicine, UCSD Medical Center, University of California, San Diego, California
^# Division of Cardiology, Duke University Medical Center/Duke Clinical Research Institute, Durham, North Carolina
^_** Duke Clinical Research Institute, Durham, North Carolina
Baylor University Medical Center, Dallas, Texas
Department of Cardiovascular Medicine, Heart Failure Section, Cleveland Clinic Foundation, Cleveland, Ohio.

View larger version (30K): [in this window] [in a new window] [Download PPT slide]   Figure 1 Cohort Derivation and Variable Retention for the Risk Model Diagram showing number of patients, number of deaths, and variables at each stage in model development

View larger version (17K): [in this window] [in a new window] [Download PPT slide]   Figure 2 In-Hospital Mortality by SCr and SBP The relationship between serum creatinine (SCr) and systolic blood pressure (SBP) as measured at hospital admission and in-hospital mortality.

View larger version (10K): [in this window] [in a new window] [Download PPT slide]   Figure 3 Association Between Risk Prediction Score and Probability of Death The risk of in-hospital mortality as a function of the risk prediction nomogram score from Table 5.

View larger version (9K): [in this window] [in a new window] [Download PPT slide]   Figure 4 Predicted Versus Actual In-Hospital Mortality The reliability plot for the OPTIMIZE-HF (Organized Program to Initiate Lifesaving Treatment in Hospitalized Patients with Heart Failure) registry nomogram with 95% confidence intervals is shown.