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Markers of imminent myocardial infarction

Gustafsson, Stefan ; Lampa, Erik ; Jensevik Eriksson, Karin ; Butterworth, Adam S. ; Elmståhl, Sölve LU ; Engström, Gunnar LU ; Hveem, Kristian ; Johansson, Mattias ; Langhammer, Arnulf and Lind, Lars , et al. (2024) In Nature Cardiovascular Research 3(2). p.130-139
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... (More)

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.

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@article{afdfc207-ab94-48e5-b73b-bbea13982b25,
  abstract     = {{<p>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.</p>}},
  author       = {{Gustafsson, Stefan and Lampa, Erik and Jensevik Eriksson, Karin and Butterworth, Adam S. and Elmståhl, Sölve and Engström, Gunnar and Hveem, Kristian and Johansson, Mattias and Langhammer, Arnulf and Lind, Lars and Läll, Kristi and Masala, Giovanna and Metspalu, Andres and Moreno-Iribas, Conchi and Nilsson, Peter M. and Perola, Markus and Simell, Birgit and Sipsma, Hemmo and Åsvold, Bjørn Olav and Ingelsson, Erik and Hammar, Ulf and Ganna, Andrea and Svennblad, Bodil and Fall, Tove and Sundström, Johan}},
  issn         = {{2731-0590}},
  language     = {{eng}},
  number       = {{2}},
  pages        = {{130--139}},
  publisher    = {{Nature Publishing Group}},
  series       = {{Nature Cardiovascular Research}},
  title        = {{Markers of imminent myocardial infarction}},
  url          = {{http://dx.doi.org/10.1038/s44161-024-00422-2}},
  doi          = {{10.1038/s44161-024-00422-2}},
  volume       = {{3}},
  year         = {{2024}},
}