Using matrix assisted laser desorption ionisation mass spectrometry (MALDI-MS) profiling in order to predict clinical outcomes of patients with heart failure

Using matrix assisted laser desorption ionisation mass spectrometry (MALDI-MS) profiling in order to predict clinical outcomes of patients with heart failure

Abstract Background Current risk prediction models in heart failure (HF) including clinical characteristics and biomarkers only have moderate predictive value. The aim of this study was to use matrix assisted laser desorption ionisation mass spectrometry (MALDI-MS) profiling to determine if a combin...

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Bibliographic Details
Main Authors: Thong Huy Cao, Donald J. L. Jones, Paulene A. Quinn, Daniel Chu Siong Chan, Narayan Hafid, Helen M. Parry, Mohapradeep Mohan, Jatinderpal K. Sandhu, Stefan D. Anker, John G. Cleland, Kenneth Dickstein, Gerasimos Filippatos, Hans L. Hillege, Marco Metra, Piotr Ponikowski, Nilesh J. Samani, Dirk J. Van Veldhuisen, Faiez Zannad, Aeilko H. Zwinderman, Adriaan A. Voors, Chim C. Lang, Leong L. Ng
Format: Article
Language:English
Published: BMC 2018-11-01
Series:Clinical Proteomics
Subjects:
MALDI-MS
Heart failure
Biomarker
Clinical outcome
Proteomics
Online Access:http://link.springer.com/article/10.1186/s12014-018-9213-1

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