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Assessment of Maternal Vascular Remodeling During Pregnancy in the Mouse Uterus
Published on: December 5, 2015
Women and Cardiovascular Disease: Pregnancy, the Forgotten Risk Factor
Clare Arnott1, Sanjay Patel2, Jon Hyett3
1Department of Cardiology, Royal Prince Alfred Hospital, Sydney, NSW, Australia; Sydney Medical School, Sydney, NSW, Australia; The George Institute of Global Health, University of New South Wales, Sydney, NSW, Australia.
Insights
Cardiovascular disease (CVD) in women is a major health concern. Incorporating female-specific risk factors, like pregnancy complications, into risk models can improve early detection and prevention strategies.
Area of Science:
- Cardiology
- Women's Health
- Public Health
Background:
- Cardiovascular disease (CVD) is the leading cause of death and disability in women globally.
- Female-specific risk factors for CVD are often underappreciated and not included in current risk prediction models.
- Hypertensive and metabolic disorders of pregnancy significantly increase the risk of premature CVD in women.
Purpose of the Study:
- To highlight the underestimation of female-specific risk factors in cardiovascular disease (CVD) prediction.
- To advocate for the inclusion of pregnancy-related complications in CVD risk assessment models.
- To emphasize the need for gender-specific approaches in CVD research, diagnosis, and management for women.
Main Methods:
- Review of existing literature on cardiovascular disease (CVD) risk factors in women.
- Analysis of the impact of hypertensive and metabolic disorders of pregnancy on CVD risk.
- Discussion of current limitations in CVD risk prediction models for women.
Main Results:
- Hypertensive and metabolic disorders of pregnancy are independent risk factors for premature CVD, more than doubling the risk.
- Current CVD risk prediction models do not account for these significant female-specific risk factors.
- Failure to recognize these risks leads to missed opportunities for primary prevention and education.
Conclusions:
- There is a critical need to integrate female-specific risk factors, such as pregnancy complications, into cardiovascular disease (CVD) risk prediction models.
- Research methodologies must evolve to include comprehensive pregnancy histories and report gender-disaggregated outcomes.
- Implementing gender-specific CVD assessment and management strategies is crucial for improving women's cardiovascular health outcomes globally.
Abstract:
Cardiovascular disease (CVD) is the leading cause of death and disability in women globally, accounting for 32% of deaths in females. There are several female-specific risk factors for CVD that are under appreciated clinically, insufficiently researched and not given adequate attention in CVD risk prediction. Hypertensive and metabolic disorders of pregnancy are independent risk factors for the development of premature CVD. They confer more than double the risk of CVD in exposed women, but are not included in any current, multivariable CVD risk prediction models. Failure to recognise this risk leads to a lost opportunity to identify at risk women, institute primary preventive strategies, and potentially improve their health trajectory. This also translates into a missed opportunity to educate women and their families about their CVD risks, and to a lack of awareness and prioritisation of CVD within the broader community. Improving CVD outcomes for women globally also requires attention to research methodology and analysis. Researchers should be encouraged to include a thorough pregnancy history in prospective CVD datasets and to power their studies to report on gender disaggregated CVD outcomes. Particular attention should be given to the inclusion of young women of child-bearing age in CVD intervention trials. Ultimately, women should be offered CVD assessment using gender specific risk prediction models that are validated across broad ethic and socioeconomic groups. These prediction models should account for female specific risk factors and their complex interactions with traditional risk factors. This will pave the way for a gender-specific approach to CVD diagnosis, investigation and management.
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