A precision medicine approach to sex-based differences in ideal cardiovascular health

Leveraging Digital Health to Improve the Cardiovascular Health of Women

Purpose of Review

In this review, we present a comprehensive discussion on the population-level implications of digital health interventions (DHIs) to improve cardiovascular health (CVH) through sex- and gender-specific prevention strategies among women.

Recent Findings

Over the past 30 years, there have been significant advancements in the diagnosis and treatment of cardiovascular diseases, a leading cause of morbidity and mortality among men and women worldwide. However, women are often underdiagnosed, undertreated, and underrepresented in cardiovascular clinical trials, which all contribute to disparities within this population. One approach to address this is through DHIs, particularly among racial and ethnic minoritized groups. Implementation of telemedicine has shown promise in increasing adherence to healthcare visits, improving BP monitoring, weight control, physical activity, and the adoption of healthy behaviors. Furthermore, the use of mobile health applications facilitated by smart devices, wearables, and other eHealth (defined as electronically delivered health services) modalities has also promoted CVH among women in general, as well as during pregnancy and the postpartum period. Overall, utilizing a digital health approach for healthcare delivery, decentralized clinical trials, and incorporation into daily lifestyle activities has the potential to improve CVH among women by mitigating geographical, structural, and financial barriers to care.

Summary

Leveraging digital technologies and strategies introduces novel methods to address sex- and gender-specific health and healthcare disparities and improve the quality of care provided to women. However, it is imperative to be mindful of the digital divide in specific populations, which may hinder accessibility to these novel technologies and inadvertently widen preexisting inequities.

Overcoming cohort heterogeneity for the prediction of subclinical cardiovascular disease risk

Cardiovascular disease remains a leading cause of mortality with an estimated half a billion people affected in 2019. However, detecting signals between specific pathophysiology and coronary plaque phenotypes using complex multi-omic discovery datasets remains challenging due to the diversity of individuals and their risk factors. Given the complex cohort heterogeneity present in those with coronary artery disease (CAD), we illustrate several different methods, both knowledge-guided and data-driven approaches, for identifying subcohorts of individuals with subclinical CAD and distinct metabolomic signatures. We then demonstrate that utilizing these subcohorts can improve the prediction of subclinical CAD and can facilitate the discovery of novel biomarkers of subclinical disease. Analyses acknowledging cohort heterogeneity through identifying and utilizing these subcohorts may be able to advance our understanding of CVD and provide more effective preventative treatments to reduce the burden of this disease in individuals and in society as a whole.

Sex and Gender Determinants of Vascular Disease in the Global Context

Globally, vascular diseases are a leading cause of morbidity and mortality. Many of the most significant risk factors for vascular disease have a gendered dimension, and sex differences in vascular diseases incidence are apparent, worldwide. In this narrative review, we provide a contemporary picture of sex- and gender-related determinants of vascular disease. We illustrate key factors underlying sex-specific risk stratification, consider similarities and sex differences in vascular disease risk and outcomes with comparisons of data from the global North (ie, developed high-income countries in the Northern hemisphere and Australia) and the global South (ie, regions outside Europe and North America), and explore the relationship between country-level gendered inequities in vascular disease risk and the United Nation's gender inequality index. Review findings suggest that the rising incidence of vascular disease in women is partly explained by an increase in the prevalence of traditional risk factors linked to gender-related determinants such as shifting roles and relations related to the double burden of employment and caregiving responsibilities, lower educational attainment, lower socioeconomic status, and higher psychosocial stress. Social isolation partly explained the higher incidence of vascular disease in men. These patterns were apparent across the global North and South. Study findings emphasize the necessity of taking into account sex differences and gender-related factors in the determination of the vascular disease risk profiles and management strategies. As we move toward the era of precision medicine, future research is needed that identifies, validates, and measures gender-related determinants and risk factors in the global South.