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How well does B-type natriuretic peptide predict death and cardiac events in patients with heart failure: systematic
Jenny A Doust1, Eva Pietrzak, Annette Dobson
1Centre for General Practice, School of Medicine, University of Queensland, Herston Road, Herston, Qld 4006, Australia. j.doust@sph.uq.edu.au
Insights
B-type natriuretic peptide (BNP) is a strong predictor of adverse outcomes in heart failure patients. Higher BNP levels significantly increase the risk of death and cardiovascular events in both symptomatic and asymptomatic individuals.
Area of Science:
- Cardiology
- Biomarkers
- Prognostic Medicine
Background:
- Heart failure (HF) is a complex clinical syndrome with significant morbidity and mortality.
- Accurate prognostic markers are crucial for guiding clinical management and patient counseling in HF.
- B-type natriuretic peptide (BNP) is a hormone released by the ventricles in response to increased wall stress.
Purpose of the Study:
- To systematically review and assess the prognostic value of B-type natriuretic peptide (BNP) in patients with heart failure.
- To evaluate BNP's predictive capability for mortality and cardiovascular events in both symptomatic and asymptomatic individuals.
Main Methods:
- A systematic review of published studies was conducted using electronic searches of Medline and Embase databases.
- Included studies assessed the relationship between BNP levels (initial and changes) and the risk of death or cardiovascular events.
- Prognostic models, including multivariable analyses with BNP and left ventricular ejection fraction, were analyzed.
Main Results:
- Nineteen studies in heart failure patients and five in asymptomatic individuals were included.
- A 100 pg/ml increase in BNP was associated with a 35% increased relative risk of death in heart failure patients.
- BNP emerged as a significant independent predictor of prognosis in numerous multivariable models.
Conclusions:
- B-type natriuretic peptide (BNP) is a robust prognostic indicator across all stages of heart failure.
- BNP demonstrates significant predictive power for adverse outcomes in both symptomatic and asymptomatic patient populations.
- Despite potential limitations like publication bias, BNP offers valuable prognostic information in cardiovascular disease management.
Objective:
To assess how well B-type natriuretic peptide (BNP) predicts prognosis in patients with heart failure.
Design:
Systematic review of studies assessing BNP for prognosis in patients with heart failure or asymptomatic patients.
Data Sources:
Electronic searches of Medline and Embase from January 1994 to March 2004 and reference lists of included studies.
Study Selection And Data Extraction:
We included all studies that estimated the relation between BNP measurement and the risk of death, cardiac death, sudden death, or cardiovascular event in patients with heart failure or asymptomatic patients, including initial values and changes in values in response to treatment. Multivariable models that included both BNP and left ventricular ejection fraction as predictors were used to compare the prognostic value of each variable. Two reviewers independently selected studies and extracted data.
Data Synthesis:
19 studies used BNP to estimate the relative risk of death or cardiovascular events in heart failure patients and five studies in asymptomatic patients. In heart failure patients, each 100 pg/ml increase was associated with a 35% increase in the relative risk of death. BNP was used in 35 multivariable models of prognosis. In nine of the models, it was the only variable to reach significance-that is, other variables contained no prognostic information beyond that of BNP. Even allowing for the scale of the variables, it seems to be a strong indicator of risk.
Conclusion:
Although systematic reviews of prognostic studies have inherent difficulties, including the possibility of publication bias, the results of the studies in this review show that BNP is a strong prognostic indicator for both asymptomatic patients and for patients with heart failure at all stages of disease.
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