Tailoring cardiovascular risk prediction to females

Thulani Ashcroft, Marie De Bakker, Atul Anand, Naveed Sattar, Jacqueline A. Maybin, Dorien Kimenai*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Atherosclerotic cardiovascular disease (ASCVD) is one of the leading causes of morbidity and mortality in females worldwide. In this review, we provide insights into how sex differences may affect traditional risk factors associated with ASCVD, and give an overview of non-traditional risk factors that have the potential to enhance cardiovascular risk prediction in females. We review clinically applied cardiovascular risk estimation systems discussing the integration of promising risk factors within these systems. We also explore the role of novel approaches and future directions to refine primary prevention of ASCVD in females. The development of ASCVD varies by sex and age, therefore cardiovascular risk estimation systems should incorporate both sex and age interactions with risk factors to improve ASCVD risk estimates. As the incidence of non-ASCVD (such as heart failure and arrhythmias) in females continue to rise, it is crucial to adopt a more holistic approach to risk assessment that extends beyond ASCVD outcomes. This review highlights the need for further studies on female-prevalent diseases and female-specific factors that may refine cardiovascular risk estimation in young females. Raising awareness is crucial to ensure studies include individuals from deprived areas and ethnic minorities, as more insights on the intersection between sex and social determinants of health will enhance understanding of the underlying mechanisms of ASCVD risk prevention in females. And finally, taking steps to improve and standardise data of female-specific risk factors throughout a female's life course could improve preventive cardiovascular care for females.
Original languageEnglish
Article numbere250084
Number of pages15
JournalJournal of Endocrinology
Volume265
Issue number3
Early online date29 May 2025
DOIs
Publication statusPublished - 1 Jul 2025

Keywords / Materials (for Non-textual outputs)

  • Female
  • cardiovascular disease
  • primary care
  • risk factors
  • risk assessment

Fingerprint

Dive into the research topics of 'Tailoring cardiovascular risk prediction to females'. Together they form a unique fingerprint.

Cite this