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Markers of imminent myocardial infarction

Authors :
Gustafsson, Stefan
Lampa, Erik
Jensevik Eriksson, Karin
Butterworth, Adam S.
Elmståhl, Sölve
Engström, Gunnar
Hveem, Kristian
Johansson, Mattias
Langhammer, Arnulf
Lind, Lars
Läll, Kristi
Masala, Giovanna
Metspalu, Andres
Moreno-Iribas, Conchi
Nilsson, Peter M.
Perola, Markus
Simell, Birgit
Sipsma, Hemmo
Åsvold, Bjørn Olav
Ingelsson, Erik
Hammar, Ulf
Ganna, Andrea
Svennblad, Bodil
Fall, Tove
Sundström, Johan
Gustafsson, Stefan
Lampa, Erik
Jensevik Eriksson, Karin
Butterworth, Adam S.
Elmståhl, Sölve
Engström, Gunnar
Hveem, Kristian
Johansson, Mattias
Langhammer, Arnulf
Lind, Lars
Läll, Kristi
Masala, Giovanna
Metspalu, Andres
Moreno-Iribas, Conchi
Nilsson, Peter M.
Perola, Markus
Simell, Birgit
Sipsma, Hemmo
Åsvold, Bjørn Olav
Ingelsson, Erik
Hammar, Ulf
Ganna, Andrea
Svennblad, Bodil
Fall, Tove
Sundström, Johan
Publication Year :
2024

Abstract

Myocardial infarction is a leading cause of death globally but is notoriously difficult to predict. We aimed to identify biomarkers of an imminent first myocardial infarction and design relevant prediction models. Here, we constructed a new case–cohort consortium of 2,018 persons without prior cardiovascular disease from six European cohorts, among whom 420 developed a first myocardial infarction within 6 months after the baseline blood draw. We analyzed 817 proteins and 1,025 metabolites in biobanked blood and 16 clinical variables. Forty-eight proteins, 43 metabolites, age, sex and systolic blood pressure were associated with the risk of an imminent first myocardial infarction. Brain natriuretic peptide was most consistently associated with the risk of imminent myocardial infarction. Using clinically readily available variables, we devised a prediction model for an imminent first myocardial infarction for clinical use in the general population, with good discriminatory performance and potential for motivating primary prevention efforts.<br />These authors contributed equally: Stefan Gustafsson, Erik Lampa

Details

Database :
OAIster
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1428124597
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.1038.s44161-024-00422-2