Prognostic Significance of 1-Month Postdischarge BNP in Identifying Patients at High Risk of Mortality and Readmission After Decompensated Heart Failure
DOI:
https://doi.org/10.48047/Keywords:
B-type natriuretic peptide, heart failure, biomarker, diagnostic accuracy, ROC curve, risk stratification, clinical practiceAbstract
Background: The current study relates to the utility of the levels of B-type natriuretic peptide
(BNP) as a biomarker in the management and diagnostic evaluation of heart failure in various
patient populations.
Methods: A comparison of BNP levels between patients with different types of heart diseases
was conducted using ROC curve analysis to assess how well BNP could predict the degree of
heart failure.
Results: The results established an important correlation between increased BNP, with risk of
elevated BNP levels, and increased severity of the heart failure, proposing effectiveness of the
peptide in the risk stratification and clinical decision-making.
Conclusion: Our findings confirm the necessity of BNP level testing implementation in
practical clinical activity to provide enhanced options for shortening the diagnosis time and
further treatment beginning among the heart failure patient population in order to improve their prognosis. The research in the future is assessing the potential of BNP in terms of this
prediction in relation to different population demographics and, therefore, conducting a
modification in terms of broader clinical applications. This study's findings add to strong and
growing evidence-based support for BNP as a functional biomarker in cardiovascular health.