Key result
Newly developed MIRKB database compiles 8436 entries detailing MI risk factors and predictive models.
Why the study?
MI etiology is complex and incompletely understood, making the identification of individuals with an increased risk of MI an urgent challenge for improving prevention.
MIRKB is a comprehensive knowledge base of myocardial infarction risk factors and models that can facilitate systems biology research and prevention strategies.
Answers are grounded in this paper and cite their sources.
MIRKB aggregates MI risk data at scale; leaves open clinical adoption pending prospective validation in prevention tools.
Myocardial infarction (MI) is a common cardiovascular disease and a leading cause of death worldwide. The etiology of MI is complicated and not completely understood. Many risk factors are reported important for the development of MI, including lifestyle factors, environmental factors, psychosocial factors, genetic factors, etc. Identifying individuals with an increased risk of MI is urgent and a major challenge for improving prevention. The MI risk knowledge base (MIRKB) is developed for facilitating MI research and prevention. The goal of MIRKB is to collect risk factors and models related to MI to increase the efficiency of systems biological level understanding of the disease. MIRKB contains 8436 entries collected from 4366 articles in PubMed before 5 July 2019 with 7902 entries for 1847 single factors, 195 entries for 157 combined factors and 339 entries for 174 risk models. The single factors are classified into the following five categories based on their characteristics: molecular factor (2356 entries, 649 factors), imaging (821 entries, 252 factors), physiological factor (1566 entries, 219 factors), clinical factor (2523 entries, 561 factors), environmental factor (46 entries, 26 factors), lifestyle factor (306 entries, 65 factors) and psychosocial factor (284 entries, 75 factors). MIRKB will be helpful to the future systems level unraveling of the complex mechanism of MI genesis and progression.
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Zhan et al. (2019) studied Myocardial infarction. MI risk knowledge base (MIRKB) was evaluated on Collection of risk factors and models related to MI. The MI risk knowledge base (MIRKB) was developed containing 8436 entries from 4366 articles to collect risk factors and models related to myocardial infarction.
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