Literature DB >> 22808834

Natriuretic peptides and long-term mortality in patients with severe aortic stenosis.

Marcelo Katz1, Flavio Tarasoutchi, Antonio Eduardo Pereira Pesaro, Renato D Lopes, Guilherme Sobreira Spina, Marcelo Luiz Campos Vieira, Max Grinberg.   

Abstract

BACKGROUND AND AIM OF THE STUDY: The natriuretic peptides, brain natriuretic peptide (BNP) and its N-terminal prohormone (NT-proBNP), can be used as diagnostic and prognostic markers for aortic stenosis (AS). However, the association between BNP, NT-proBNP, and long-term clinical outcomes in patients with severe AS remains uncertain.
METHODS: A total of 64 patients with severe AS was prospectively enrolled into the study, and underwent clinical and echocardiographic assessments at baseline. Blood samples were drawn for plasma BNP and NT-proBNP analyses. The primary outcome was death from any cause, through a six-year follow up period. Cox proportional hazards modeling was used to examine the association between natriuretic peptides and long-term mortality, adjusting for important clinical factors.
RESULTS: During a mean period of 1,520 +/- 681 days, 51 patients (80%) were submitted to aortic valve replacement, and 13 patients (20%) were medically managed without surgical interventions. Mortality rates were 13.7% in the surgical group and 62% in the medically managed group (p < 0.001). Patients with higher plasma BNP (> 135 pg/ml) and NT-proBNP (> 1,150 pg/ml) levels at baseline had a greater risk of long-term mortality (hazard ratio [HR] 3.2, 95% confidence interval [CI] 1.1-9.1; HR 4.3, 95% CI 1.4-13.5, respectively). After adjusting for important covariates, both BNP and NT-proBNP remained independently associated with long-term mortality (HR 2.9, 95% CI 1.5-5.7; HR 1.8, 95% CI 1.1-3.1, respectively).
CONCLUSION: In patients with severe AS, plasma BNP and NT-proBNP levels were associated with long-term mortality. The use of these biomarkers to guide treatment might represent an interesting approach that deserves further evaluation.

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Year:  2012        PMID: 22808834

Source DB:  PubMed          Journal:  J Heart Valve Dis        ISSN: 0966-8519


  3 in total

1.  Dynamic prediction of outcome for patients with severe aortic stenosis: application of joint models for longitudinal and time-to-event data.

Authors:  Eleni-Rosalina Andrinopoulou; Dimitris Rizopoulos; Marcel L Geleijnse; Emmanuel Lesaffre; Ad J J C Bogers; Johanna J M Takkenberg
Journal:  BMC Cardiovasc Disord       Date:  2015-05-07       Impact factor: 2.298

Review 2.  Biomarkers in Cardiology - Part 2: In Coronary Heart Disease, Valve Disease and Special Situations.

Authors: 
Journal:  Arq Bras Cardiol       Date:  2015-05-01       Impact factor: 2.000

3.  Severe Aortic Valve Stenosis: Symptoms, Biochemical Markers, and Global Longitudinal Strain.

Authors:  Giuseppe Bottaro; Paolo Zappulla; Wanda Deste; Francesca Famà; Federica Agnello; Danilo Trovato; Antonio Indelicato; Marco Barbanti; Carmelo Sgroi; Ines P Monte; Corrado Tamburino
Journal:  J Cardiovasc Echogr       Date:  2020-11-09
  3 in total

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