| Title: | Markers of imminent myocardial infarction |
| Journal: | Nature Cardiovascular Research |
| Published: | 12 Feb 2024 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/39196201/ |
| DOI: | https://doi.org/10.1038/s44161-024-00422-2 |
| URL: | https://www.nature.com/articles/s44161-024-00422-2.pdf |
| Citations: | 2 (2 in last 2 years) as of 8 Aug 2024 |
Publication 8805
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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.</p>
16 Keywords
- Adult
- Aged
- Biomarkers
- Blood Pressure
- Europe
- Female
- Humans
- Male
- Middle Aged
- Myocardial Infarction
- Natriuretic Peptide, Brain
- Predictive Value of Tests
- Prognosis
- Risk Assessment
- Risk Factors
- Time Factors
25 Authors
- Stefan Gustafsson
- Erik Lampa
- Karin Jensevik Eriksson
- Adam S. Butterworth
- Sölve Elmståhl
- Gunnar Engström
- Kristian Hveem
- Mattias Johansson
- Arnulf Langhammer
- Lars Lind
- Kristi Läll
- Giovanna Masala
- Andres Metspalu
- Conchi Moreno-Iribas
- Peter M. Nilsson
- Markus Perola
- Birgit Simell
- Hemmo Sipsma
- Bjørn Olav Åsvold
- Erik Ingelsson
- Ulf Hammar
- Andrea Ganna
- Bodil Svennblad
- Tove Fall
- Johan Sundström
1 Application
| Application ID | Title |
|---|---|
| 52678 | Causal associations of novel and established risk factors with type 2 diabetes, kidney disease, lung disease and cardiovascular disease in UK Biobank |
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