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Importance  Gestational hypertension, preeclampsia, and eclampsia are established risk factors for stroke and dementia later in life. Whether these pregnancy complications are associated with an increased risk of new-onset neurological disorders within months to years after giving birth is not known.

Objective  To explore whether gestational hypertension, preeclampsia, and eclampsia are associated with new-onset migraine, headache, epilepsy, sleep disorder, or mental fatigue within months to years after giving birth.

Design, Setting, and Participants  In this register-based cohort study, exposures were identified in the Swedish Medical Birth Register from 2005 to 2018. Follow-up was conducted using the National Patient Register, containing diagnoses from specialized inpatient and outpatient care. Follow-up started 42 days after delivery and continued until the first event, death, emigration, or the end of the follow-up period (2019). The risk was calculated with Cox regression analysis and expressed as adjusted hazard ratio (aHR) with a 95% CI. Through the Swedish Medical Birth Register, 659 188 primiparous women with singleton pregnancies between 2005 and 2018 were identified. Women with a diagnosis of chronic hypertension (n = 4271) or a prepregnancy neurological disorder (n = 6532) were excluded. The final study population included 648 385 women. Data analyses were conducted in 2023.

Exposures  Gestational hypertension, preeclampsia, and eclampsia.

Main outcome  The primary outcome was a composite neurological outcome of migraine, headache, epilepsy, sleep disorder, or mental fatigue.

Results  The study included 648 385 women with a mean age of 28.5 (SD, 5.0) years at the time of their first pregnancy. Women with gestational hypertension (n = 11 133), preeclampsia (n = 26 797), and eclampsia (n = 625) all had an association with increased risk for a new-onset neurological disorder compared with women with normotensive pregnancies. The aHR for gestational hypertension was 1.27 (95% CI, 1.12-1.45), 1.32 (95% CI, 1.22-1.42) for preeclampsia, and 1.70 (95% CI, 1.16-2.50) for eclampsia. When exploring individual outcomes, women with eclampsia were associated with more than a 5 times increased risk of epilepsy (aHR, 5.31; 95% CI, 2.85-9.89).

Conclusion and Relevance  In this study, gestational hypertension, preeclampsia, and eclampsia were associated with an increased risk of new-onset migraine, headache, epilepsy, sleep disorder, or mental fatigue within months to years after giving birth. Guidelines recommend follow-up after delivery for women with gestational hypertension and preeclampsia for their increased risk of cardiovascular disease. At these visits, caregivers should also pay attention to persisting or new-onset of neurological symptoms, since this group of women appears to be vulnerable to developing or experiencing neurological disorders.

Introduction: It is well known that both women with polycystic ovary syndrome (PCOS) and women with gestational diabetes mellitus (GDM) have increased risks of adverse pregnancy outcomes, but little is known whether the combination of these two conditions exacerbate the risk estimates. We explored risk estimates for adverse pregnancy outcomes in women with either PCOS or GDM and the combination of both PCOS and GDM.

Material and methods: Retrospective nationwide register-based cohort study in Sweden including women who gave birth to singleton infants during 1997–2015 (N=281 806).The risk of adverse pregnancy outcomes were estimated for women exposed for PCOS-only (n = 40 272), GDM-only (n = 2236), both PCOS and GDM (n = 1036) using multivariate logistic regression analyses. Risks were expressed as odds ratios with 95% confidence intervals (CIs) and adjusted for maternal characteristics, including maternal BMI. Women with neither PCOS nor GDM served as control group.

Main Outcome Measures: Maternal outcomes were gestational hypertension, preeclampsia, postpartum haemorrhage, and obstetric anal sphincter injury. Neonatal outcomes were preterm birth, stillbirth, shoulder dystocia, born small or large for gestational age, macrosomia, low Apgar score, infant birth trauma, cerebral impact of the infant, neonatal hypoglycaemia, meconium aspiration syndrome and respiratory distress.

Results: Women with both PCOS and GDM have a tendency for higher odds than women with either PCOS or GDM for developing preeclampsia, preterm birth, stillbirth, infant born large for gestational age and infant birth trauma. The adjusted odds ratio for preterm birth in women with PCOS-only were 1.34 (95% CI 1.28–1.41) and GDM-only 1.64 (95% CI 1.39–1.93) and for women with PCOS and GDM 2.08 (95% CI 1.67–2.58).

Conclusions: The combination of PCOS and GDM appears to exacerbate the risk of adverse pregnancy outcomes for both mother and infant compared with women with either PCOS or GDM.

Improvement of prenatal identification of large-for-gestational-age (LGA) infants could lower the risk for adverse outcomes. Therefore, we sought to evaluate the association of a combination of maternal waist circumference (WC) and abdominal fat depths with infant birth size. A cohort study including 1240 women was performed between 2015 and 2018 at Uppsala University Hospital, Sweden. Maternal WC was measured at the first antenatal visit, and visceral (VF) and subcutaneous (SCF) fat depths by ultrasound at the second-trimester anomaly scan. Waist circumference, VF, and SCF were categorized as low or high (cut-offs WC ≥ 88 cm, VF ≥ 54 mm, SCF ≥ 21 mm). Outcomes were birth weight standard deviation score (BWSDS) and LGA (BWSDS > 90th and > 97th percentile). Secondary outcome was small-for-gestational-age (SGA, BWSDS < 10th and < 3rd percentile). Univariate analysis of variance and logistic regression analyses were performed adjusted for maternal weight, height, parity, smoking, country of birth, pregestational diabetes, and chronic hypertension. For both high and low WC, high VF was positively associated with BWSDS and LGA. There was no association with SGA. The results did not demonstrate any value of the combination of WC and fat depth measures in predicting infant birth size but suggested VF as a marker for large infants.

BACKGROUND Preeclampsia in a first pregnancy is a strong risk factor for preeclampsia in a second pregnancy. Whether chronic hypertension developed after a first pregnancy (interpregnancy hypertension) affects the recurrence risk of preeclampsia is unknown. METHODS This is a population-based cohort study of 391,645 women with their first and second singleton births between 2006 and 2017. Exposure groups were women with preeclampsia in their first pregnancy, interpregnancy hypertension, or both risk factors. Women with neither risk factor were used as a reference group. We calculated the adjusted relative risk (aRR) with 95% confidence intervals (CIs) for overall preeclampsia in the second pregnancy as well as preterm (<37 gestational weeks) and term (>= 37 gestational weeks) subgroups of the disease. RESULTS Women with preeclampsia in their first pregnancy who did or did not develop interpregnancy hypertension had rates of preeclampsia in their second pregnancy of 21.5% and 13.6%, respectively. In the same population, the corresponding rates of preterm preeclampsia were 5.5% and 2.6%, respectively. After adjusting for maternal factors, women with preeclampsia in their first pregnancy who developed interpregnancy hypertension and those who did not have almost the same risk of overall preeclampsia in their second pregnancy (aRRs with 95% CIs: 14.51; 11.77-17.89 and 12.83; 12.09-13.62, respectively). However, preeclampsia in the first pregnancy and interpregnancy hypertension had a synergistic interaction on the outcome of preterm preeclampsia (aRR with 95% CI 26.66; 17.44-40.80). CONCLUSIONS Women with previous preeclampsia who developed interpregnancy hypertension had a very high rate of preterm preeclampsia in a second pregnancy, and the two risk factors had a synergistic interaction.

Prediction of women at high risk of preeclampsia is important for prevention and increased surveillance of the disease. Current prediction models need improvement, particularly with regard to late-onset preeclampsia. Preeclampsia shares pathophysiological entities with cardiovascular disease; thus, cardiovascular biomarkers may contribute to improving prediction models. In this nested case-control study, we explored the predictive importance of mid-pregnancy cardiovascular biomarkers for subsequent preeclampsia. We included healthy women with singleton pregnancies who had donated blood in mid-pregnancy (~ 18 weeks’ gestation). Cases were women with subsequent preeclampsia (n = 296, 10% of whom had early-onset preeclampsia [< 34 weeks]). Controls were women who had healthy pregnancies (n = 333). We collected data on maternal, pregnancy, and infant characteristics from medical records. We used the Olink cardiovascular II panel immunoassay to measure 92 biomarkers in the mid-pregnancy plasma samples. The Boruta algorithm was used to determine the predictive importance of the investigated biomarkers and first-trimester pregnancy characteristics for the development of preeclampsia. The following biomarkers had confirmed associations with early-onset preeclampsia (in descending order of importance): placental growth factor (PlGF), matrix metalloproteinase (MMP-12), lectin-like oxidized LDL receptor 1, carcinoembryonic antigen-related cell adhesion molecule 8, serine protease 27, pro-interleukin-16, and poly (ADP-ribose) polymerase 1. The biomarkers that were associated with late-onset preeclampsia were BNP, MMP-12, alpha-L-iduronidase (IDUA), PlGF, low-affinity immunoglobulin gamma Fc region receptor II-b, and T cell surface glycoprotein. Our results suggest that MMP-12 is a promising novel preeclampsia biomarker. Moreover, BNP and IDUA may be of value in enhancing prediction of late-onset preeclampsia.

The objective of this study was to evaluate the associations of 92 maternal blood-based proteins with increased infant birth size. The study was performed at the Uppsala University Hospital, Sweden, and included 857 mother and child dyads. The mean age of the women was 30.3 years, and 53.2% were nulliparous. Blood samples were collected at mean 18 + 2 weeks' gestation, and the Olink cardiovascular II panel was used to measure 92 proteins, either known to be or suspected to be markers of cardiovascular and inflammatory disease in humans. Multiple linear regression models adjusted for maternal age, parity, pre-conception BMI, height, and smoking were performed to evaluate the association of each individual protein with infant birth size. We also performed sex-stratified analyses. Eight proteins (Matrix metalloproteinase-12 (MMP-12), Prostasin (PRSS8), Adrenomedullin (ADM), Pappalysin-1 (PAPP-A), Angiotensin-converting enzyme 2 (ACE2), Sortilin (SORT1), Lectin-like oxidized LDL receptor 1 (LOX-1), and Thrombomodulin (TM)) were associated with infant birth size after false discovery rate adjustment. In the analyses including only female infants, ten proteins (MMP-12, Growth/differentiation factor 2 (GDF-2), PRSS8, SORT1, ADM, Interleukin-1 receptor antagonist protein (IL-1ra), Leptin (LEP), ACE2, TM, and Tumor necrosis factor receptor superfamily member 11A (TNFRSF11A)) were associated with infant birth size. Two proteins (PAPP-A and PRSS8) were associated with infant birth size among male infants. Our study suggests several proteins as potential biomarkers for increased birth weight, and our findings could act as a base for future research to identify new potential markers that could be added to improve screening for large infants.

Objective: To explore whether the association between polycystic ovary syndrome (PCOS) and pre-eclampsia depends on treated clinical hyperandrogenism and whether PCOS is associated with different subtypes of pre-eclampsia.

Design: Nationwide register-based cohort study.

Setting: Sweden.

Population: Nulliparous women with PCOS (n = 22 947) and non-PCOS controls (n = 115 272) giving singleton birth at ≥22 gestational weeks during 1997-2015. Treated clinical hyperandrogenism was defined as filled prescriptions of anti-androgenic drugs during 2005-2017 (n = 2301 among PCOS women).

Methods: The risk of pre-eclampsia was estimated with conditional logistic regression, expressed as adjusted odds ratio (OR) with 95% confidence interval (CI). Adjustments were performed individually for confounders and predictors.

Main outcome measures: Overall pre-eclampsia. Early/late (delivery <34/≥34 weeks) pre-eclampsia. Pre-eclampsia with or without a small-for-gestational-age (SGA) infant.

Results: Compared with controls, women with PCOS had a 29% increased risk of pre-eclampsia (predictor adjusted OR 1.29, 95% CI 1.20-1.39), with similar risk estimates for PCOS women with and without treated clinical hyperandrogenism. The association between PCOS and early pre-eclampsia seemed stronger than its association with late pre-eclampsia (predictor adjusted OR 1.64 (95% CI 1.33-2.02) and 1.26 (95% CI 1.17-1.37). Additionally, the association seemed slightly stronger between PCOS and pre-eclampsia in women with an SGA infant than without.

Conclusions: Women with PCOS face an increased risk for pre-eclampsia, especially early pre-eclampsia and pre-eclampsia with an SGA infant. We were unable to determine on the basis of available data, whether hyperandrogenism is associated with pre-eclampsia.

Background: More than two in five Swedish women are overweight or obese when becoming pregnant. Maternal overweight or obesity and excessive pregnancy weight gain are associated with several adverse pregnancy outcomes. The underlying mechanisms that link maternal adiposity, diet, exercise, pregnancy weight gain with pregnancy outcome are incompletely understood. Methods: We describe the design for a cross-sectional study of pregnant women at Uppsala University Hospital, Sweden. All participants delivered by elective cesarean section before the onset of labor. At inclusion, participants answered two questionnaires concerning their dietary and exercise habits. Fasting maternal blood samples (buffy coat, plasma, serum) were collected. During the cesarean section, biopsies of maternal subcutaneous and visceral adipose tissues were obtained. Placental tissue was collected after delivery. All biological samples were processed as soon as possible, frozen on dry ice, and stored at -70 degrees C. Pregnancy outcomes and supplementary maternal characteristics were collected from medical records. Results: In total, 143 women were included in the study. Of these women, 33.6% were primiparous, 46.2% had a pre-pregnancy body mass index (BMI) over 25 kg/m(2), and 11.2% of the offspring were born large for gestational age (LGA). Complete collection, that is both questionnaires and all types of biological samples, was obtained from 81.1% of the participants. Conclusions: This study is expected to provide a resource for exploration of the associations between maternal weight, diet, exercise, pregnancy weight gain, and pregnancy outcome. Results from this study will be published in peer-reviewed, international scientific journals. This study was approved by the Regional Ethics Review Board in Uppsala (approval no 2014/353) and with an amendment by the Swedish Ethical Review Authority (approval no 2020-05844).

Preeclampsia and cardiovascular disease (CVD) share multiple features and risk factors. Circulating angiotensin-converting enzyme 2 (ACE2) is increased in CVD and mediates SARS-CoV-2 entry into host cells, causing COVID-19 infection. The role of ACE2 in preeclampsia pathophysiology is unknown. We hypothesized that circulating ACE2 is increased in mid-pregnancy in women later developing preeclampsia. We included 296 women later developing preeclampsia (cases) and 333 women with a continuous healthy pregnancy (controls). Circulating ACE2 was measured with an immunoassay based on proximity extension assay technology, with levels being expressed as relative quantification on a log2 scale. Median (interquartile range) ACE2 levels were higher in cases than in controls; 3.84 (3.50-4.24) vs. 3.72 (3.45-4.04), p = 0.002. Adjusted logistic regression models showed a 60% increased risk for later development of preeclampsia with one unit elevation of ACE2 (adjusted odds ratio (aOR) 1.60, 95% confidence intervals (CI) 1.17-2.18). Preterm preeclampsia (diagnosis before 37 gestational weeks, n = 97) seemed to have a stronger ACE2 association than term preeclampsia, n = 199 (aORs, 95% Cis 2.14, 1.15-3.96 and 1.52, 1.04-2.23, respectively). Circulating ACE2 is increased at mid-pregnancy in women later developing preeclampsia, particularly preterm preeclampsia. Thus, our finding indicates a partly shared pathophysiological pathway between preeclampsia and CVD.

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.