Risk stratification and management of acute myocardial infarction patients continue to be challenging despite considerable efforts made in the last decades by many clinicians and researchers. The aim of this study was to investigate the metabolomic fingerprint of acute myocardial infarction using nuclear magnetic resonance spectroscopy on patient serum samples and to evaluate the possible role of metabolomics in the prognostic stratification of acute myocardial infarction patients.
NMR-based metabolomics identifies patients at high risk of death within two years after acute myocardial infarction in the AMI-Florence II cohort / Vignoli, Alessia; Tenori, Leonardo; Giusti, Betti; Takis, Panteleimon G; Valente, Serafina; Carrabba, Nazario; Balzi, Daniela; Barchielli, Alessandro; Marchionni, Niccolò; Gensini, Gian Franco; Marcucci, Rossella; Luchinat, Claudio; Gori, Anna Maria. - In: BMC MEDICINE. - ISSN 1741-7015. - ELETTRONICO. - 17:(2019), pp. 0-0. [10.1186/s12916-018-1240-2]
NMR-based metabolomics identifies patients at high risk of death within two years after acute myocardial infarction in the AMI-Florence II cohort
Vignoli, Alessia;Tenori, Leonardo;Giusti, Betti
;Marchionni, Niccolò;Gensini, Gian Franco;Marcucci, Rossella;Luchinat, Claudio;Gori, Anna Maria
2019
Abstract
Risk stratification and management of acute myocardial infarction patients continue to be challenging despite considerable efforts made in the last decades by many clinicians and researchers. The aim of this study was to investigate the metabolomic fingerprint of acute myocardial infarction using nuclear magnetic resonance spectroscopy on patient serum samples and to evaluate the possible role of metabolomics in the prognostic stratification of acute myocardial infarction patients.File | Dimensione | Formato | |
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