Literature DB >> 15926091

Brain natriuretic peptide release in cardiac surgery patients.

A-M Sinha1, O-A Breithardt, M Schmid, C Stellbrink.   

Abstract

Brain natriuretic peptide (BNP) release is a marker of increased myocardial wall tension, which is elevated in patients with disturbed left ventricular function. As it is increasingly being used as a reliable marker for diagnosis, optimization of pharmacological treatment, and risk stratification, BNP measurement might be also relevant for patients undergoing cardiac surgery. Measured BNP levels can be used to predict postoperative complications and the risk of further cardiac events. Preoperative BNP levels support the decision for the timing of aortic valve replacement in asymptomatic severe aortic stenosis. An increase in BNP levels early predicts allograft rejection after cardiac transplantation or ineffective cardiac resynchronization therapy. Moreover, BNP levels can be used to differentiate between cardiac and non-cardiac reasons for acute dyspnea in the management of surgical patients. Finally, the application of recombinant human BNP seems to improve recovery after cardiac surgical procedures. Thus, BNP can be a helpful tool for monitoring and treating patients before, during, and after cardiac surgery to predict and improve the effectiveness of therapy and reduce hospitalization and costs.

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Year:  2005        PMID: 15926091     DOI: 10.1055/s-2005-837453

Source DB:  PubMed          Journal:  Thorac Cardiovasc Surg        ISSN: 0171-6425            Impact factor:   1.827


  2 in total

Review 1.  [Are neurohumoral parameters predictive for the efficacy of cardiac resynchronization therapy? The role of natriuretic peptides].

Authors:  A-M Sinha; O-A Breithardt
Journal:  Herzschrittmacherther Elektrophysiol       Date:  2006

2.  Cell-free DNA donor fraction analysis in pediatric and adult heart transplant patients by multiplexed allele-specific quantitative PCR: Validation of a rapid and highly sensitive clinical test for stratification of rejection probability.

Authors:  Paula E North; Emily Ziegler; Donna K Mahnke; Karl D Stamm; Angela Thomm; Paul Daft; Mary Goetsch; Huan Ling Liang; Maria Angeles Baker; Adam Vepraskas; Chris Rosenau; Mahua Dasgupta; Pippa Simpson; Michael E Mitchell; Aoy Tomita-Mitchell
Journal:  PLoS One       Date:  2020-01-13       Impact factor: 3.240

  2 in total

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