Key result
Lipid-lowering therapies reduce cardiovascular risk equally across sexes but lack safety data during pregnancy.
Why the study?
Cardiovascular risk factors remain underrecognized and undertreated in women despite cardiovascular disease being their leading cause of death.
This review highlights that while lipid-lowering therapies are equally effective in women and men, sex-based disparities in treatment persist, and specific management strategies are required during pregnancy and menopause.
Although cardiovascular disease is the leading cause of death in women, cardiovascular risk factors remain underrecognized and undertreated. Hyperlipidemia is one of the leading modifiable risk factors for CVD. Statins are the mainstay of lipid lowering therapy (LLT), with additional agents such as ezetimibe and proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors as additive or alternative therapies. Clinical trials have demonstrated that these LLTs are equally efficacious in lipid lowering and cardiovascular risk reduction in women as they are in men. Although the data on statin teratogenicity is evolving, in times of pregnancy or attempted pregnancy, most lipid-lowering agents are generally avoided due to lack of high-quality safety data. This leads to limited treatment options in pregnant women with hyperlipidemia or cardiovascular disease. During the perimenopausal period, the mainstay of lipid management remains consistent with guidelines across all ages. Hormone replacement therapy for cardiovascular risk reduction is not recommended. Future research is warranted to target sex-based disparities in LLT initiation and persistence across the life course.
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Witting et al. (2022) conducted a review in Hyperlipidemia and cardiovascular disease. Lipid-lowering therapy (statins, ezetimibe, PCSK9 inhibitors) was evaluated. Lipid-lowering therapies are equally efficacious in cardiovascular risk reduction in women as in men, though they are generally avoided during pregnancy due to a lack of high-quality safety data.
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