Cited by 568Heart Failure Treatment and ManagementCardiac, Anesthesia and Surgical OutcomesAcute Myocardial Infarction Research

A Validated Risk Score for In-Hospital Mortality in Patients With Heart Failure From the American Heart Association Get With the Guidelines Program

Peterson, Pamela N., Rumsfeld, John S., Liang, Li, Albert, Nancy M., Hernandez, Adrian F., Peterson, Eric D., Fonarow, Gregg C., Masoudi, Frederick A.·2010·Circulation: Cardiovascular Quality and Outcomes

Abstract

Background— Effective risk stratification can inform clinical decision-making. Our objective was to derive and validate a risk score for in-hospital mortality in patients hospitalized with heart failure using American Heart Association Get With the Guidelines–Heart Failure (GWTG-HF) program data. Methods and Results— A cohort of 39 783 patients admitted January 1, 2005, to June 26, 2007, to 198 hospitals participating in GWTG-HF was divided into derivation (70%, n=27 850) and validation (30%, n=11 933) samples. Multivariable logistic regression identified predictors of in-hospital mortality in the derivation sample from candidate demographic, medical history, and laboratory variables collected at admission. In-hospital mortality rate was 2.86% (n=1139). Age, systolic blood pressure, blood urea nitrogen, heart rate, sodium, chronic obstructive pulmonary disease, and nonblack race were predictive of in-hospital mortality. The model had good discrimination in the derivation and validation datasets (c-index, 0.75 in each). Effect estimates from the entire sample were used to generate a mortality risk score. The predicted probability of in-hospital mortality varied more than 24-fold across deciles (range, 0.4% to 9.7%) and corresponded with observed mortality rates. The model had the same operating characteristics among those with preserved and impaired left ventricular systolic function. The morality risk score can be calculated on the Web-based calculator available with the GWTG-HF data entry tool. Conclusions— The GWTG-HF risk score uses commonly available clinical variables to predict in-hospital mortality and provides clinicians with a validated tool for risk stratification that is applicable to a broad spectrum of patients with heart failure, including those with preserved left ventricular systolic function.

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Authors
Peterson, P. N., Rumsfeld, J. S., Liang, L., Albert, N. M., Hernandez, A. F., Peterson, E. D., Fonarow, G. C., & Masoudi, F. A.
Affiliations
Cleveland Clinic (US)
Corresponding author
Masoudi, Frederick A.
Venue
Circulation: Cardiovascular Quality and Outcomes
Published
2010-01
Volume
3
Issue
1
Pages
25-32
ISSN
  • 1941-7705 (ISSN-L)
  • 1941-7713
OpenAlex
W2151185534
Cited by
568
References
20
Citations by year
2026: 35 · 2025: 47 · 2024: 64 · 2023: 57 · 2022: 53 · 2021: 68 · 2020: 41 · 2019: 32 · 2018: 29 · 2017: 24 · 2016: 26 · 2015: 15 · 2014: 12 · 2013: 32 · 2012: 16
FWCI
7.06
Type
journal article
Language
en
Open access
closed
Locations
  • Circulation Cardiovascular Quality and Outcomes (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • American Heart Association
  • GlaxoSmithKline
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Failure Treatment and Management
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac, Anesthesia and Surgical Outcomes
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Acute Myocardial Infarction Research
Keywords
heart failure, in-hospital mortality, mortality risk score, risk stratification, prognostic model, preserved left ventricular systolic function, chronic obstructive pulmonary disease, blood urea nitrogen, sodium, systolic blood pressure, heart rate, racial disparities
MeSH terms
Aged, Aged, 80 and over, American Heart Association, Female, Health Status Indicators, Heart Failure, Humans, Inpatients, Male, Middle Aged, Predictive Value of Tests, Registries, Risk Factors, ROC Curve, Systole, Time Factors, United States, Reproducibility of Results, Cohort Studies, Chi-Square Distribution, Logistic Models, Ventricular Function, Left, Hospital Mortality, Practice Guidelines as Topic, Risk Assessment, Guideline Adherence

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