Role of brain natriuretic peptide in risk stratification of patients with congestive heart failure

Citation
J. Koglin et al., Role of brain natriuretic peptide in risk stratification of patients with congestive heart failure, J AM COL C, 38(7), 2001, pp. 1934-1941
Citations number
29
Categorie Soggetti
Cardiovascular & Respiratory Systems","Cardiovascular & Hematology Research
Journal title
JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
ISSN journal
07351097 → ACNP
Volume
38
Issue
7
Year of publication
2001
Pages
1934 - 1941
Database
ISI
SICI code
0735-1097(200112)38:7<1934:ROBNPI>2.0.ZU;2-1
Abstract
Objectives Using a prospective study design, we assessed the value of brain natriuretic peptide (BNP) to identify patients with heart failure who have an increased risk of deterioration of their functional status. Furthermore , we examined the relationship between BNP and various clinical characteris tics incorporated into an established survival model used for risk stratifi cation. Background Prediction of the clinical course is a crucial part of the decis ion-making process about the adequate treatment strategy, for patients with advanced congestive heart failure (CHF). Although laborious, multivariable indexes have been established for risk stratification, simple plasma BNP m easurements may be as useful as prognostic indicators. Methods In 78 patients referred to our heart failure clinic, plasma BNP lev els were compared with the results of a multivariable prognostic model. To assess the prognostic power of BNP, the clinical course of this cohort was monitored for a median follow-up period of 398 days. Results At study entry, plasma BNP and the heart failure survival score (HF SS) showed a significant correlation (r = -0.706). During follow-up, Kaplan -Meier estimates of freedom from clinical events differed significantly, fo r patients above and below the 75th percentile concentrations of plasma BNP (p<0.0001). Changes in plasma BNP were significantly related to changes in limitations of physical activity, as demonstrated by logistic regression a nalysis (chi-square statistic = 24.9, p<0.0001). Proportional hazards analy sis confirmed BNP as a powerful predictor of functional status deterioratio n (p<0.0001). This prognostic information was as powerful as that derived f rom the multivariable HFSS. Conclusions Measurement of plasma BNP concentrations might provide a useful and cost-effective screening toot that helps reduce the need and frequency , for more expensive cardiac tests. (J Am Coll Cardiol 2001;38:1934-41) (C) 2001 by the American College of Cardiology.