Between-Sex Differences in Risk Factors for Cardiovascular Disease among Patients with Myocardial Infarction-A Systematic Review.
Jack Charles BartonAnna Maria WozniakChloe ScottAbhisekh ChatterjeeGreg Nathan TittertonAmber Elyse CorriganAshvin KuriViraj ShahIan SohJuan-Carlos KaskiPublished in: Journal of clinical medicine (2023)
Between-sex differences in the presentation, risk factors, management, and outcomes of acute myocardial infarction (MI) are well documented. However, as such differences are highly sensitive to cultural and social changes, there is a need to continuously re-evaluate the evidence. The present contemporary systematic review assesses the baseline characteristics of men and women presenting to secondary, tertiary, and quaternary centres with acute myocardial infarction (MI). Over 1.4 million participants from 18 studies, including primary prospective, cross sectional and retrospective observational studies, as well as secondary analysis of registry data are included in the study. The study showed that women were more likely than men to have a previous diagnosis of diabetes, hypertension, cerebrovascular disease, and heart failure. They also had lower odds of presenting with previous ischaemic heart disease and angina, dyslipidaemia, or a smoking history. Further work is necessary to understand the reasons for these differences, and the role that gender-specific risk factors may have in this context. Moreover, how these between-gender differences are implicated in management and outcomes also requires further work.
Keyphrases
- acute myocardial infarction
- risk factors
- cardiovascular disease
- heart failure
- systematic review
- cross sectional
- left ventricular
- percutaneous coronary intervention
- type diabetes
- healthcare
- case report
- coronary artery disease
- randomized controlled trial
- coronary artery
- adipose tissue
- polycystic ovary syndrome
- pregnant women
- machine learning
- high resolution
- atrial fibrillation
- acute coronary syndrome
- big data
- deep learning
- data analysis