Reducing the Risk of Pre-Eclampsia in Women with Polycystic Ovary Syndrome Using a Combination of Pregnancy Screening, Lifestyle, and Medical Management Strategies.
Jim ParkerClaire O'BrienChristabelle YeohFelice L GershShaun BrenneckePublished in: Journal of clinical medicine (2024)
Polycystic ovary syndrome (PCOS) is a multisystem disorder that presents with a variety of phenotypes involving metabolic, endocrine, reproductive, and psychological symptoms and signs. Women with PCOS are at increased risk of pregnancy complications including implantation failure, miscarriage, gestational diabetes, fetal growth restriction, preterm labor, and pre-eclampsia (PE). This may be attributed to the presence of specific susceptibility features associated with PCOS before and during pregnancy, such as chronic systemic inflammation, insulin resistance (IR), and hyperandrogenism, all of which have been associated with an increased risk of pregnancy complications. Many of the features of PCOS are reversible following lifestyle interventions such as diet and exercise, and pregnant women following a healthy lifestyle have been found to have a lower risk of complications, including PE. This narrative synthesis summarizes the evidence investigating the risk of PE and the role of nutritional factors in women with PCOS. The findings suggest that the beneficial aspects of lifestyle management of PCOS, as recommended in the evidence-based international guidelines, extend to improved pregnancy outcomes. Identifying high-risk women with PCOS will allow targeted interventions, early-pregnancy screening, and increased surveillance for PE. Women with PCOS should be included in risk assessment algorithms for PE.
Keyphrases
- polycystic ovary syndrome
- pregnancy outcomes
- insulin resistance
- physical activity
- pregnant women
- metabolic syndrome
- weight loss
- risk assessment
- cardiovascular disease
- preterm birth
- adipose tissue
- high fat diet
- machine learning
- public health
- type diabetes
- risk factors
- healthcare
- high fat diet induced
- deep learning
- sleep quality
- cancer therapy
- drug delivery
- body composition
- depressive symptoms
- low birth weight
- preterm infants
- clinical practice