Using matrix assisted laser desorption ionisation mass spectrometry (MALDI-MS) profiling in order to predict clinical outcomes of patients with heart failure
Academic Article
Publication Date:
2018
Abstract:
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 combination of peptides identified with MALDI-MS will better predict clinical outcomes of patients with HF.
CRIS type:
1.1 Articolo in rivista
Keywords:
Biomarker; Clinical outcome; Heart failure; MALDI-MS; Proteomics
List of contributors:
Cao, Thong Huy; Jones, Donald J L; Quinn, Paulene A; Chan, Daniel Chu Siong; Hafid, Narayan; Parry, Helen M; Mohan, Mohapradeep; Sandhu, Jatinderpal K; Anker, Stefan D; Cleland, John G; Dickstein, Kenneth; Filippatos, Gerasimos; Hillege, Hans L; Metra, Marco; Ponikowski, Piotr; Samani, Nilesh J; Van Veldhuisen, Dirk J; Zannad, Faiez; Zwinderman, Aeilko H; Voors, Adriaan A; Lang, Chim C; Ng, Leong L
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