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Risk stratification after hospitalization for decompensated heart failure
G Michael Felker1, Jeffrey D Leimberger, Robert M Califf
1Duke Clinical Research Institute, 2400 Pratt Street, Room 0311, Terrace Level, Durham, NC 27705, USA.
Journal of Cardiac Failure
|December 16, 2004
Summary
Easily assessed clinical variables at admission can predict adverse outcomes in patients hospitalized with decompensated heart failure (HF). This model aids in risk stratification for better patient management.
Area of Science:
- Cardiology
- Clinical Medicine
- Health Outcomes Research
Background:
- Decompensated heart failure (HF) frequently leads to hospitalization in the US.
- Predictors of adverse events in HF patients upon admission require further investigation.
- The OPTIME-CHF study provides a valuable dataset for developing predictive models.
Purpose of the Study:
- To develop a predictive model for adverse outcomes in decompensated heart failure patients.
- To identify clinical variables on admission that predict mortality and rehospitalization.
- To assess the utility of easily measurable factors for risk stratification.
Main Methods:
- Utilized data from the OPTIME-CHF study involving 949 patients.
- Employed multivariable modeling to analyze admission variables.
- Evaluated predictors for 60-day mortality and a composite of death or rehospitalization.
Main Results:
- Predictors of 60-day mortality included increased age, low systolic blood pressure, NYHA class IV, elevated BUN, and low sodium.
- Predictors for death or rehospitalization within 60 days were prior HF hospitalizations, elevated BUN, low systolic blood pressure, low hemoglobin, and history of PCI.
- The mortality prediction model demonstrated substantial discriminatory power (c-index .77).
Conclusions:
- Risk stratification for decompensated HF patients is feasible using readily available clinical variables.
- The developed model shows promise for aiding clinical decision-making.
- Further validation in independent cohorts is recommended to refine risk stratification strategies.
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