Associations between pre-pregnancy body mass index and gestational weight gain with pregnancy outcomes in women with polycystic ovary syndrome

Recent Insights and Recommendations for Preventing Excessive Gestational Weight Gain

Recommendations for weight gain during pregnancy are based on pre-pregnancy body mass index (BMI). Pregnancy is a risk factor for excessive weight gain and many endocrine problems, making it difficult to return to pre-pregnancy weight and increasing the risk of postpartum obesity and, consequently, type 2 diabetes and metabolic syndrome. Both excessive gestational weight gain (EGWG) and obesity are associated with an increased risk of gestational hypertension, pre-eclampsia, gestational diabetes, cesarean section, shoulder dystocia, and neonatal macrosomia. In the long term, EGWG is associated with increased morbidity and mortality, particularly from diabetes, cardiovascular disorders, and some cancers. This study aims to present recommendations from various societies regarding weight gain during pregnancy, dietary guidance, and physical activity. In addition, we discuss the pathophysiology of this complication and the differential diagnosis in pregnant women with EGWG. According to our research, inadequate nutrition might contribute more significantly to the development of EGWG than insufficient physical activity levels in pregnant women. Telehealth systems seem to be a promising direction for future EGWG prevention by motivating women to exercise. Although the importance of adequate pre-pregnancy weight and weight gain during pregnancy is well known, an increasing number of women gain excessive weight during pregnancy.

PCOS and the risk of pre-eclampsia

RESEARCH QUESTION

What is the association between polycystic ovary syndrome (PCOS) and pre-eclampsia? Data suggest that patients with PCOS are at increased risk of developing pre-eclampsia; however, several studies have not found an independent association between the two.

DESIGN

A retrospective case-control study of singleton deliveries at a tertiary care hospital from 2011 to 2015. Patients with pre-eclampsia (cases) were matched to the next delivery without pre-eclampsia (controls) on gestational age week. Medical history data, a diagnosis or clinical features of PCOS and obstetric data, including pre-eclampsia, were abstracted from the medical record. Groups were compared with the chi-squared test, and conditional logistic regression was used to calculate odds ratios (OR) and 95% confidence intervals (95% CI). OR were adjusted for maternal age at delivery and race/ethnicity.

RESULTS

This study included 435 cases and 435 controls. Cases were more likely to be Black compared with controls. Age, comorbidities, features of PCOS and use of IVF were similar between groups. Patients with pre-eclampsia were not more likely to have PCOS (8.3%) than those without pre-eclampsia (6.2%, adjusted OR 1.40, 95% CI 0.81-2.30). Sensitivity analyses for body mass index and parity suggested an increased pre-eclampsia risk for patients with PCOS and these additional factors, however no group showed a statistically significant association between PCOS and pre-eclampsia.

CONCLUSIONS

In this study, a history of PCOS was not associated with the risk of pre-eclampsia. Further investigation is necessary to determine whether there are subgroups of PCOS patients who are at increased risk of pre-eclampsia.