Waist Circumference Measurement for Prediction of Preeclampsia: A Population-Based Cohort Study.

BACKGROUND: Identifying women at high risk for preeclampsia is essential for the decision to start treatment with prophylactic aspirin. Prediction models have been developed for this purpose, and these typically incorporate body mass index (BMI). As waist circumference (WC) is a better predictor for metabolic and cardiovascular outcomes than BMI in nonpregnant populations, we aimed to investigate if WC is a BMI-independent predictor for preeclampsia and if the addition of WC to a prediction model for preeclampsia improves its performance. METHODS: We used a population-based cohort of 4,696 women with WC measurements taken in the first trimester. The influence of WC on the risk of developing preeclampsia was evaluated by multivariable logistic regression. We generated receiver operating characteristic curves and calculated the area under the curve (AUC) to evaluate the usefulness of WC measurements for prediction of preeclampsia. RESULTS: Women who developed preeclampsia had greater early pregnancy WC than women who did not (85.8 ± 12.6 vs. 82.3 ± 11.3 cm, P < 0.001). The risk of preeclampsia increased with larger WC in a multivariate model, adjusted odds ratio 1.02 (95% confidence interval 1.01-1.03). However, when adding BMI into the model, WC was not independently associated with preeclampsia. The AUC value for preeclampsia prediction with BMI and the above variables was 0.738 and remained unchanged with the addition of WC to the model. CONCLUSIONS: Large WC is associated with a higher risk of preeclampsia, but adding WC to a prediction model for preeclampsia that already includes BMI does not improve the model's performance.

Ultrasound estimated subcutaneous and visceral adipose tissue thicknesses and risk of pre-eclampsia.

Early identification of high-risk pregnancies enables identification of those who would benefit from aspirin prophylaxis and increased surveillance for pre-eclampsia. A high body mass index (BMI) is a well-known predictor for pre-eclampsia. However, if abdominal adipose tissue distribution is associated with pre-eclampsia is limited investigated. Subcutaneous adipose tissue (SAT) thickness and visceral adipose tissue (VAT) thickness were measured by ultrasound on 3777 women at around 18 gestational weeks. SAT thickness was measured from the skin to linea alba and VAT from linea alba to the anterior aortic wall. The risk of developing pre-eclampsia (de novo hypertension at ≥ 20 gestational weeks in combination with proteinuria) was evaluated by logistic regression and expressed as odds ratio (OR) with 95% confidence intervals (CI). The risk of pre-eclampsia increased by 79% for every cm in SAT thickness (OR 1.79; 95% CI 1.48-2.17) and by 23% for every cm VAT thickness (OR 1.23; 95% CI 1.11-1.35). After adjustment for maternal age, parity, BMI, smoking and country of birth, the association between SAT thickness and pre-eclampsia remained (AOR 1.35; 95% CI 1.02-1.79). Greater SAT thickness measured with second trimester ultrasound is associated with increased risk of developing pre-eclampsia. The measurement may improve prediction models for pre-eclampsia.

Pregnancy in metabolic healthy and unhealthy obese women.

INTRODUCTION: Obesity-associated adverse obstetric outcomes are well-known but still relatively rare and difficult to predict. Not all obese individuals are unhealthy; some have metabolically healthy obesity (MHO) and others have metabolic unhealthy obesity (MUO). Our aim was to investigate whether the MHO and MUO classification could be used for prediction of obesity-associated complications in pregnancy. MATERIAL AND METHODS: We included 547 pregnant women with obesity, 2302 pregnant women with overweight and 5852 normal weight pregnant women. The women with obesity were classified as MUO (n = 181, 33.1%) or MHO (n = 366, 66.9%) based on first trimester blood pressure, lipoprotein levels and nonfasting glucose levels. The risk of obstetric outcomes was evaluated by multivariable logistic regression. We compared cardiovascular risk markers in blood between obese pregnant women with MUO and MHO. RESULTS: Overall, 45.9% of women with MUO developed at least one adverse obesity-associated obstetric outcome, whereas corresponding proportions in women with MHO, overweight and normal weight were 35.0%, 27.6% and 21.2%, respectively. Following adjustment, the overall risk of at least one obesity-associated obstetric or perinatal complication in women with MUO, vs women with MHO, was increased (adjusted odds ratio 1.49, 95% confidence interval 1.03-2.15), but the predictive value of the model was low. Women with MUO had altered levels of cardiovascular risk markers such as cathepsin S, adiponectin, and cystatin C in comparison with women with MHO. CONCLUSIONS: Women with MUO had an overall increased risk of adverse obstetric outcomes in comparison to women with MHO, but the classification had little relevance for risk prediction beyond that of body mass index.

Maternal body mass index moderates antenatal depression effects on infant birthweight.

Obesity and depression are two common medical problems that pregnant women present with in antenatal care. Overweight and obesity at the beginning of the pregnancy, and excessive weight gain during pregnancy, are independent explanatory variables for fetal birthweight and independent risk factors for giving birth to a large for gestational age (LGA) infant. However, the effect of co-morbid depression has received little attention. This study set out to investigate if maternal body mass index (BMI) in early pregnancy moderates antenatal depression effects on infant birthweight. 3965 pregnant women participated in this longitudinal cohort study, where cases (n = 178) had Edinburgh Postnatal Depression Scale (EPDS) score ≥ 17 in gestational week 17 or 32, and remaining women (n = 3787) were used as controls. The influence of maternal BMI and antenatal depressive symptoms on standardized birthweight was evaluated by analysis of covariance, with adjustment for relevant confounders. Depressed women with BMI 25.0 kg/m2 or more gave birth to infants with significantly greater standardized birthweight than non-depressed overweight women, whereas the opposite pattern was noted in normal weight women (BMI by antenatal depressive symptoms interaction; F(1,3839) = 6.32; p = 0.012. The increased birthweight in women with co-prevalent overweight and depressive symptoms was not explained by increased weight gain during the pregnancy. Maternal BMI at the beginning of pregnancy seems to influence the association between antenatal depressive symptoms and infant birthweight, but in opposite directions depending on whether the pregnant women is normal weight or overweight. Further studies are needed to confirm our finding.