Display Settings:

Format

Send to:

Choose Destination
See comment in PubMed Commons below
Herz. 2010 Oct;35(7):488-95. doi: 10.1007/s00059-010-3377-4.

Serial NT-proBNP measurements for risk stratification of patients with decompensated heart failure.

Author information

  • 1Department of Internal Medicine and Cardiology, Phillips University of Marburg, Marburg, Germany. lueersc@med.uni-marburg.de

Abstract

PURPOSE:

NT-proBNP is an important prognostic predictor in patients with heart failure. However, it is unknown whether a change of NT-proBNP plasma levels in the early phase of decompensation might be of additional prognostic value in patients with acute decompensation of heart failure.

METHODS AND RESULTS:

NT-proBNP plasma levels of 116 patients with decompensated heart failure from ischemic/non-ischemic origin were measured at baseline and at 12, 24 and 48 h after hospital admission. Baseline levels and changes of plasma levels within the first 48 h were correlated with 30-day mortality. In all patients, NT-proBNP 12 h after admission was highest and superior with respect to the prediction of 30-day mortality compared to plasma levels on admission. In total, 38 patients died within the first 30 days. In these patients absolute NT-proBNP plasma levels were significantly higher and the increase within 12 h after admission was more pronounced compared to survivors (p<0.001). NT-proBNP at 12 h after admission also had the highest predictive value for the 30-day mortality rate in patients with acute myocardial infarction. The increase of NT-proBNP plasma levels within 12 h after admission had the highest predictive value in patients suffering from decompensated heart failure.

CONCLUSIONS:

NT-proBNP is a powerful marker of 30-day mortality in patients with decompensated heart failure of ischemic and non-ischemic origin. Compared with single baseline measurements, serial measurements of NT-proBNP plasma levels within 12 h after hospital admission may be used to increase the predictive value of NT-proBNP with regard to the early identification of patients who are at high risk of mortality.

PMID:
20927502
[PubMed - indexed for MEDLINE]
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Icon for Springer
    Loading ...
    Write to the Help Desk