| Literature DB >> 28810640 |
Yuxiang Dai1,2, Jun Yang3, Atsutoshi Takagi1, Hakuoh Konishi1, Tetsuro Miyazaki1, Hiroshi Masuda1, Kazunori Shimada1, Katsumi Miyauchi1, Hiroyuki Daida1.
Abstract
Relative changes in B-type natriuretic peptide (BNP) and amino terminal pro-BNP (NT-proBNP) levels may help to assess the risk of congestive heart failure (CHF). However, whether these levels at the time of admission enable the prediction of outcomes with acute exacerbation remains unknown. The current study determined the abilities of BNP, NT-proBNP and their ratio to predict in-hospital and long-term outcomes of patients with CHF. Patients who were admitted to the cardiac care unit of Juntendo University Hospital (Tokyo, Japan) with acute CHF onset were consecutively enrolled into the present observational study. Serum levels of BNP and NT-proBNP were immediately measured on admission, and other biomarkers and clinical data were also investigated. Of 195 enrolled patients, 16 (8.2%) succumbed to CHF in hospital and 124 (69.3%) reached the endpoint of mortality or readmission following a median follow-up of 14 months. Multiple linear regression analysis revealed body mass index, low density lipoprotein cholesterol, hemoglobin, estimated glomerular filtration rate and C-reactive protein as independent predictors of the NT-proBNP/BNP ratio. BNP, NT-proBNP and their ratio were significantly higher among those who succumbed to CHF than in those who remained alive in hospital (P<0.05). Logistic regression analysis indicated that the ratio was an independent predictor for in-hospital mortality and long-term outcomes. In conclusion, the ratio of NT-proBNP to BNP more effectively predicts in-hospital outcomes than either factor alone and it may also help to predict outcomes among patients with acute exacerbation of HF.Entities:
Keywords: biomarker; brain natriuretic peptides; heart failure; mortality rates
Year: 2017 PMID: 28810640 PMCID: PMC5526175 DOI: 10.3892/etm.2017.4686
Source DB: PubMed Journal: Exp Ther Med ISSN: 1792-0981 Impact factor: 2.447