Risk Of Hypertensive Disorders Of Pregnancy Research Articles

Seasonal variation in home blood pressure during pregnancy and frequency of hypertensive disorders of pregnancy: a multicenter prospective study of home blood pressure measurements in pregnant women using information technology.

This multicenter prospective study investigated seasonal variation in home blood pressure (HBP) during pregnancy and its association with the frequency of hypertensive disorders of pregnancy (HDP) and developed trimester-specific upper limits of HBP according to season. Low-risk women with singleton pregnancies were recruited at six university hospitals and three maternity clinics. HBP was measured by a sphygmomanometer twice daily and recorded online using a mobile application. HBP was evaluated according to season (winter, spring, summer, and autumn) and gestational age. Of 705 women recruited, 603 were finally included. Mean diastolic HBP values were lowest in summer and highest in winter throughout pregnancy (mean difference between summer and winter, 3.5-4.6 mmHg). Mean systolic HBP values were also lowest in summer and highest in winter except during the early period of the second trimester (mean difference between summer and the season with the highest value, 2.5-3.4 mmHg). HDP was diagnosed in 32 women (5.3%). The risk of HDP was significantly higher in women who delivered in spring and autumn but not in winter compared with summer. The rounded upper limit of HBP was 120/80 mmHg in the first trimester, 120/75 mmHg in the second trimester, and 125/80 mmHg in the third trimester for summer and 125/85 mmHg, 125/80 mmHg, and 130/85 mmHg, respectively, for other seasons. Systolic and diastolic HBP were lowest in summer throughout pregnancy. Seasonal variation should be considered when interpreting HBP and the risk of HDP during pregnancy.

Association of Prepregnancy Cardiometabolic Health With Hypertensive Disorders of Pregnancy Among Historically Underrepresented Groups in the United States.

Prepregnancy diabetes and obesity are associated with hypertensive disorders of pregnancy (HDPs). However, the proportion of cases of HDP in the population explained by diabetes and obesity (population attributable fraction), especially among American Indian and Alaska Native and Native Hawaiian and Other Pacific Islander, is not well characterized. We conducted a cross-sectional analysis of data on individuals with a live singleton birth from the US National Vital Statistics System between 2016 and 2019. We used adjusted logistic regression to estimate the prevalence odds ratios of HDPs and tested interaction for race and ethnicity. We calculated the population attributable fraction for the effect of obesity and diabetes on HDPs. Among 13 201 338 birthing individuals, (mean age, 29±6 years), 7% had HDP. The prevalence of HDP was highest among American Indian and Alaska Native individuals (9.1%). Prepregnancy diabetes (prevalence odds ratio, 2.63 [95% CI, 2.59-2.67]) and obesity (prevalence odds ratio, 2.95 [95% CI, 2.93-2.97]) were associated with HDPs. Compared with non-Hispanic White individuals, the association of diabetes with HDPs was strongest among Native Hawaiian and Other Pacific Islander (prevalence odds ratio, 3.05 [95% CI, 2.48-3.77]), and the association of obesity with HDP was strongest among Asian individuals (prevalence odds ratio, 3.44 [95% CI, 3.35-3.54]; all P for interaction <0.05). Population attributable fractions for diabetes and obesity were highest among Native Hawaiian and Other Pacific Islander individuals (diabetes, 3.7% [95% CI, 3.3%-4.0%]; and obesity, 45% [95% CI, 41.9%-47.8%]). Prepregnancy diabetes and obesity are associated with HDP across all racial and ethnic groups. Diabetes and obesity have highest population attributable fractions among Native Hawaiian and Other Pacific Islander individuals and should be aggressively targeted during childhood, adolescence, and young adulthood to reduce risk of HDPs.

Socioecological factors influencing the risk of developing hypertensive disorders of pregnancy in India: a rapid review

BackgroundThe prevalence of hypertensive disorders of pregnancy (HDPs) in India is 11%, which is one of the highest rates globally. Existing research on HDPs in India primarily focuses on biological risk factors, with minimal research on how socioecological factors combine to increase risk of HDPs. We conducted a rapid review using Bronfenbrenner’s Ecological Model to understand the social and cultural factors associated with HDPs among Indian pregnant women to identify possible intervention targets that may uniquely improve health in this population. Bronfenbrenner’s Ecological Model is a framework that can be used to understand the complex relationship between multiple influences on health.MethodsWe reviewed studies published between January 2010 and January 2024 using PubMed, Science Direct, and Scopus databases. Search terms included variants of hypertension, pregnancy, and India. Inclusion criteria were: (1) peer-reviewed journal article; (2) published between January 2010 to January 2024; (3) participants consisted of Indian women living in India; (4) studies evaluated socioecological risk factors associated with HDPs. One independent reviewer performed searches, screening, data extraction, and quality assessment. Each included study was then organized within Bronfenbrenner’s Ecological Model.ResultsA total of 921 studies were generated from the initial search, with 157 exclusions due to duplicates. Following screening for inclusion and exclusion criteria at the title/abstract and full text levels, 17 studies remained in the final review. Socioecological risk factors of HDPs were identified at each level, with the most commonly identified influences including: low socioeconomic status (SES), lacking community education and knowledge on HDP management and prevention, and lacking prenatal HDP screening.ConclusionThis study determined that the high risk for HDPs in India is influenced by many intertwined socioecological factors. Women in rural and low SES areas need more health education on HDP management and prevention. There also needs to be more adequate prenatal HDP screening, with at least 4 and ideally 8 prenatal visits. Prenatal screenings should be accompanied with culturally appropriate patient education, especially for low SES women who have limited literacy, so that they can effectively make individual and microsystemic lifestyle decisions aimed at either managing or preventing HDPs.

Impact of multiple obesity metrics on hypertensive disorders of pregnancy: a meta-analysis and Mendelian randomisation study

BackgroundThe relationships between various obesity measures and hypertensive disorders of pregnancy (HDP) remain inadequately explored, and their causal links are not well understood. This study aims to clarify these associations...

Association Between Periconceptional Diet Quality and Hypertensive Disorders of Pregnancy: The Japan Environment and Children's Study.

Little is known about the relationship of healthy diets, which are widely recommended to prevent diseases in general populations, with the risk of hypertensive disorders of pregnancy (HDP), particular among non-Western populations with different dietary habits. We aimed to investigate the association between periconceptional diet quality and the risk of HDP among pregnant Japanese women. Dietary intake over 1 year before the first trimester of pregnancy was assessed using a validated, self-administered food frequency questionnaire among 81 113 pregnant Japanese women who participated in a prospective cohort of the Japan Environment and Children's Study. Overall diet quality was assessed by the Balanced Diet Score (BDS) based on adherence to the country-specific dietary guidelines and the Dietary Approaches to Stop Hypertension (DASH) score. Cases of HDP were identified by medical record transcription. The association between diet quality and HDP risk was examined using Bayesian logistic regression models with monotonic effects. We identified 2383 (2.9%) cases of HDP. A higher BDS was associated with a lower risk of HDP. When comparing the highest with the lowest quintile of the BDS, the adjusted odds ratio (aOR) of HDP was 0.83 (95% credible interval [CrI], 0.73-0.94). The DASH score and HDP risk were inversely associated in a monotonic dose-response manner (aOR per 1-quintile increase in the DASH score, 0.92 [95% CrI, 0.89-0.95]). A high-quality diet, which is recommended for disease prevention in general populations, before conception may also reduce the risk of HDP among pregnant Japanese women.

A Population-Based Linked Cohort Study of Maternal Exposure to Bioclimatic Stress and Hypertensive Disorders of Pregnancy in Australia.

ObjectiveTo identify critical susceptible periods for the associations between bioclimatic exposure (Universal Thermal Climate Index, UTCI) and the risks of gestational hypertension and preeclampsia. ApproachWe linked 415,091 singleton pregnancies of 20–42 weeks’ gestation between 1st January 2000 and 31st December 2015 to UTCI exposure in Western Australia. Distributed lag nonlinear logistic regressions were used to estimate weekly-specific adjusted odds of gestational hypertension and preeclampsia for UTCI exposure from twelve weeks of preconception through pregnancy. ResultsThe analysed pregnancies included 3.7% and 2.8% cases of gestational hypertension and preeclampsia, respectively. Exposures from early pregnancy up to 30th gestational weeks were associated with greater odds of hypertensive disorders of pregnancy (HDPs) with critical susceptible periods at all exposure thresholds, particularly elevated at the 1st (10.2 °C) and 99th (26.0 °C) exposure centiles as compared to the median (14.2 °C). The most elevated weekly OR and 95% CI estimated at 99th exposure centile was 1.07 (95% CI 1.06, 1.08) in gestational weeks 8–18 for gestational hypertension and 1.10 (95% CI 1.08, 1.11) in gestational weeks 11–16 for preeclampsia. Cumulative exposures associated with HDPs with relatively higher ORs, but less precise than weekly exposures. The effects of high exposure were disproportionately elevated in both HDPs for Caucasians, non-smokers, multiparous, and mothers in moderate/low SES residences. Conclusions and ImplicationsMaternal bioclimatic exposure increases the risk of HDPs, suggesting potentially susceptible periods and populations for climate-related targeted interventions. It highlights the need for advising women on environmental risks in early pregnancy.

Abstract 48: Cardiovascular Health Modifies Genetic Risk for the Hypertensive Disorders of Pregnancy

Introduction: Hypertensive disorders of pregnancy (HDP) are a leading cause of maternal/perinatal mortality. In recent work, a genetic risk score improved prediction of HDPs beyond standard clinical risk factors, but the extent to which cardiovascular health (CVH) modifies HDP genetic risk is unknown. Hypothesis: First-trimester CVH can offset genetic risk for HDPs. Methods: We examined genotyped participants of the Nulliparous Pregnancy Outcomes Study: Monitoring Mothers-To-Be (nuMoM2b). Individual HDP genetic risk was calculated using a validated polygenic score. A composite first-trimester CVH score was adapted from the Life’s Essential 8 model; cholesterol was incorporated in a subset (47%) with available first-trimester values. Genetic risk and CVH were each grouped as low (bottom quintile), intermediate (Q2-4), and high (top quintile). Logistic regression tested the joint association of CVH and genetic risk with HDP, adjusted for age and sociodemographic covariates. Results: Among 5,446 participants (mean age 27.5 years), 1,339 (24.6%) developed HDP (344 [6.3%] preeclampsia, 995 [18.3%] gestational hypertension [GH]). Higher genetic risk and lower CVH were additively associated with risk of HDP ( Figure 1A-B ) with no significant interaction (P[interaction] &gt;0.05). HDP incidence ranged from 11% (low genetic risk, favorable CVH) to 37% (high genetic risk, unfavorable CVH) ( Figure 1C ). Favorable vs. unfavorable CVH was associated with 35-62% lower risk of HDPs across genetic risk groups. Findings were broadly consistent when examining preeclampsia and GH separately and when incorporating cholesterol (i.e., using a complete Life’s Essential 8 score). Among CVH components, nonideal BMI, blood pressure, and diet conferred highest population attributable HDP risk (25%, 14%, and 12%, respectively). Conclusion: Higher genetic risk and lower first trimester CVH were additively associated with risk of developing HDP. Favorable CVH in early pregnancy may partially offset a higher genetic risk for HDP.

Abstract P107: Training for home blood pressure monitoring among women with a diagnosis or risk factors for hypertensive disorders of pregnancy

Introduction: Hypertensive disorders of pregnancy (HDP) are leading causes of morbidity and mortality among pregnant women. Despite the potential benefits of home blood pressure monitoring (HBPM) for early diagnosis and monitoring of patients with HDP, its utilization is limited by inconsistent training by healthcare providers. This study sought to examine the use of and training for HBPM in those at risk for HDP. Methods: Pregnant women, aged 20-50 (N = 103), diagnosed with either hypertension, HDP, or risk factors for HDP, were recruited from a large academic medical center to complete a survey on HBPM practices from June 2020 to January 2024. Thisincluded questions about HBPM, frequency of HBPM, and prior HBPM training provision by providers. Statistical analysis was performed using STATA/BE 18.0. Results: Of the 103 participants, 41 (39.8%) did HBPM and the most common frequency was daily (70.7%). Of those who did HBPM, 36.6% had received training from their healthcare providers and 31.7% had their BP monitors calibrated in the clinic. There was a trend towards Hispanic women being less likely to receive training compared to white women ( p =0.07). There were no significant differences in training across categories of education and location of residence. Conclusion: In this sample where nearly 40% of pregnant women used HBPM, we observed that only 1 in 3 received training for HBPM with little difference observed across demographic categories. Given the time constraints in clinic visits hindering appropriate training for HBPM, exploring alternative methods of HBPM training such as leveraging mobile health applications may be beneficial to ensure that pregnant women receive necessary training to effectively conduct HBPM.

Abstract P186: Current practices and interest in mobile health among individuals with or at risk for hypertensive disorders of pregnancy

Background: The integration of smartphones, mobile health (mHealth) apps, and digital therapeutics into healthcare has transformed remote monitoring and patient-provider communication. Such technologies are currently underutilized, but could provide value to those in need of more frequent monitoring. Pregnant individuals with or at risk for hypertensive disorders of pregnancy (HDP) could potentially benefit from this technology. Methods: Pregnant individuals, ages 20-50, with a diagnosis of or risk factors for HDP, were recruited from a large academic medical center from June 2020 to January 2024 to complete an electronic survey. Data on sociodemographic variables, smartphone/wearable device use, health app and patient portal (MyChart) use, and interest in mHealth apps were collected. Statistical analysis was done using STATA/BE 18.0. Results: Of the 103 participants, the mean age was 31.9 (SD 5.5) years, 44.6% were Hispanic or Black, and 98.1% used smartphones ( Table ). Individuals over age 30 had lower smartphone use than those under 30 (p=0.04) and most with a smartphone had mhealth apps (64.4%). Interest in wearing a smartwatch for remote monitoring and communicating with providers via a secure mhealth app was high among participants (88.3% and 78.6% respectively). No significant differences in these interests were observed by race, age, and residence (urban/suburban vs. rural). Conclusion: Pregnant individuals with or at risk for HDP demonstrated high interest in using mhealth applications and smartwatches for communication with providers and remote monitoring. Effectively integrating these technologies into patient care may enhance access to and increased engagement with care among individuals with high-risk pregnancies.

Association between changes in glycosylated hemoglobin during the second and third trimesters and adverse pregnancy outcomes among women without hyperglycemia in pregnancy

ObjectiveTo explore the relationship between changes in glycated hemoglobin (HbA1c) during the second and third trimesters and adverse pregnancy outcomes among women without hyperglycemia in pregnancy (HIP).Research design and methods: A total of 1,057 pregnant women who underwent serum HbA1c and delivered at Women’s Hospital, Zhejiang University School of Medicine from May 2022 to March 2023, were included in this study. They were divided into four groups. Associations were evaluated using multivariate logistic regression analysis. ResultsIn our study, an upward trend in HbA1c levels in the second trimester (HbA1c_S) and third trimester (HbA1c_T) among women without HIP was demonstrated. Multivariate logistics regression analysis showed significant associations: Pregnant women with HbA1c_S<5.5 %, HbA1c_T≥6.1 %, or with HbA1c_S≥5.5 %, HbA1c_T<6.1 % had a significant correlation with hypertensive disorders of pregnancy (HDP) (aOR:2.72, 95 %CI=1.24–5.97；aOR:2.59, 95 %CI=1.15–5.84). Furthermore, for each 1 % increase in the difference value of HbA1c between the second and third trimesters, the risk of HDP increased about 1.96 times, and the risk of delivering a large-for-gestational-age baby increased about 1.30 times. ConclusionAmong pregnant women without HIP, elevated HbA1c levels in the second or third trimester are associated with increased risks of adverse pregnancy outcomes.

Gestational exposure to wildfire PM2.5 and its specific components and the risk of gestational hypertension and eclampsia in the southwestern United States

In the southwestern United States, the frequency of summer wildfires has elevated ambient PM2.5 concentrations and rates of adverse birth outcomes. Notably, hypertensive disorders in pregnancy (HDP) constitute a significant determinant associated with maternal mortality and adverse birth outcomes. Despite the accumulating body of evidence, scant research has delved into the correlation between chemical components of wildfire PM2.5 and the risk of HDP. Derived from data provided by the National Center for Health Statistics, singleton births from >2.68 million pregnant women were selected across 8 states (Arizona, AZ; California, CA, Idaho, ID, Montana, MT; Nevada, NV; Oregon, OR; Utah, UT, and Wyoming, WY) in the southwestern US from 2001 to 2004. A spatiotemporal model and a Goddard Earth Observing System chemical transport model were employed to forecast daily concentrations of total and wildfire PM2.5-derived exposure. Various modeling techniques including unadjusted analyses, covariate-adjusted models, propensity-score matching, and double robust typical logit models were applied to assess the relationship between wildfire PM2.5 exposure and gestational hypertension and eclampsia. Exposure to fire PM2.5, fire-sourced black carbon (BC) and organic carbon (OC) were associated with an augmented risk of gestational hypertension (ORPM2.5 = 1.125, 95 % CI: 1.109,1.141; ORBC = 1.247, 95 % CI: 1.214,1.281; OROC = 1.153, 95 % CI: 1.132, 1.174) and eclampsia (ORPM2.5 = 1.217, 95 % CI: 1.145,1.293; ORBC = 1.458, 95 % CI: 1.291,1.646; OROC = 1.309, 95 % CI: 1.208,1.418) during the pregnancy exposure window with the strongest effect. The associations were stronger that the observed effects of ambient PM2.5 in which the sources primarily came from urban emissions. Social vulnerability index (SVI), education years, pre-pregnancy diabetes, and hypertension acted as effect modifiers. Gestational exposure to wildfire PM2.5 and specific chemical components (BC and OC) increased gestational hypertension and eclampsia risk in the southwestern United States.

Maternal Circulating Vitamin D Level, Targeted Supplementation, and Perinatal Outcomes in Twin Pregnancy.

Vitamin D deficiency is associated with several obstetric complications in singleton pregnancy. The aim of this study was to assess whether vitamin D levels affect the outcomes of twin pregnancy and if targeted supplementation can improve perinatal outcomes. The serum vitamin D levels of 143 women with twin pregnancies were measured during their first trimester. Those with insufficient (10-30 ng/mL; IL group) or severely deficient (<10 ng/mL, DL group) vitamin D levels were supplemented. In the third trimester, vitamin D levels were reassessed. Perinatal outcomes of the IL and DL groups were compared with those of patients with sufficient levels (>30 ng/mL, SL group) since the beginning of pregnancy. Women in the IL and DL groups had a higher incidence of hypertensive disorders of pregnancy (HDP) compared to the SL group (24.8% and 27.8% vs. 12.5%, p = 0.045): OR = 1.58 for the IL group and 1.94 for the DL group compared to the SL group. In patients whose vitamin D levels were restored after supplementation, HDP incidence was lower than in patients who remained in the IL or DL groups (23.4% vs. 27.3%) but higher than those who were always in the SL group (12.5%). Insufficient or severely deficient levels of vitamin D in the first trimester are associated with an increased risk of HDP in twin pregnancy. The beneficial effect of targeted vitamin D supplementation in reducing HDP seems limited.

Nonadjuvanted Bivalent Respiratory Syncytial Virus Vaccination and Perinatal Outcomes

A nonadjuvanted bivalent respiratory syncytial virus (RSV) prefusion F (RSVpreF [Pfizer]) protein subunit vaccine was newly approved and recommended for pregnant individuals at 32 0/7 to 36 6/7 weeks' gestation during the 2023 to 2024 RSV season; however, clinical vaccine data are lacking. To evaluate the association between prenatal RSV vaccination status and perinatal outcomes among patients who delivered during the vaccination season. This retrospective observational cohort study was conducted at 2 New York City hospitals within 1 health care system among patients who gave birth to singleton gestations at 32 weeks' gestation or later from September 22, 2023, to January 31, 2024. Prenatal RSV vaccination with the RSVpreF vaccine captured from the health system's electronic health records. The primary outcome is preterm birth (PTB), defined as less than 37 weeks' gestation. Secondary outcomes included hypertensive disorders of pregnancy (HDP), stillbirth, small-for-gestational age birth weight, neonatal intensive care unit (NICU) admission, neonatal respiratory distress with NICU admission, neonatal jaundice or hyperbilirubinemia, neonatal hypoglycemia, and neonatal sepsis. Logistic regression models were used to estimate odds ratios (ORs), and multivariable logistic regression models and time-dependent covariate Cox regression models were performed. Of 2973 pregnant individuals (median [IQR] age, 34.9 [32.4-37.7] years), 1026 (34.5%) received prenatal RSVpreF vaccination. Fifteen patients inappropriately received the vaccine at 37 weeks' gestation or later and were included in the nonvaccinated group. During the study period, 60 patients who had evidence of prenatal vaccination (5.9%) experienced PTB vs 131 of those who did not (6.7%). Prenatal vaccination was not associated with an increased risk for PTB after adjusting for potential confounders (adjusted OR, 0.87; 95% CI, 0.62-1.20) and addressing immortal time bias (hazard ratio [HR], 0.93; 95% CI, 0.64-1.34). There were no significant differences in pregnancy and neonatal outcomes based on vaccination status in the logistic regression models, but an increased risk of HDP in the time-dependent model was seen (HR, 1.43; 95% CI, 1.16-1.77). In this cohort study of pregnant individuals who delivered at 32 weeks' gestation or later, the RSVpreF vaccine was not associated with an increased risk of PTB and perinatal outcomes. These data support the safety of prenatal RSVpreF vaccination, but further investigation into the risk of HDP is warranted.

Early prediction of hypertensive disorders of pregnancy toward preventive early intervention

BackgroundVarious disease prediction models have been developed, capitalizing on the wide use of electronic health records, but environmental factors that are important in the development of noncommunicable diseases are rarely included in the prediction models. Hypertensive disorders of pregnancy are leading causes of maternal morbidity and mortality and are known to cause several serious complications later in life. ObjectiveThis study aims to develop early hypertensive disorders of pregnancy prediction models using comprehensive environmental factors based on self-report questionnaires in early pregnancy. Study DesignWe developed machine learning and artificial intelligence models for the early prediction of hypertensive disorders of pregnancy using early pregnancy data from approximately 23,000 pregnancies in the Tohoku Medical Megabank Birth and Three Generation Cohort Study. We clarified the important features for prediction based on regression coefficients or Gini coefficients of the interpretable artificial intelligence models (i.e., logistic regression, random forest and XGBoost models) among our developed models. ResultsThe performance of the early hypertensive disorders of pregnancy prediction models reached an area under the receiver operating characteristic curve of 0.93, demonstrating that the early hypertensive disorders of pregnancy prediction models developed in this study retain sufficient performance in hypertensive disorders of pregnancy prediction. Among the early prediction models, the best performing model was based on self-reported questionnaire data in early pregnancy (mean of 20.2 gestational weeks at filling) which consist of comprehensive lifestyles. The interpretation of the models reveals that both eating habits were dominantly important for prediction. ConclusionWe have developed high-performance models for early hypertensive disorders of pregnancy prediction using large-scale cohort data from the Tohoku Medical Megabank project. Our study clearly revealed that the use of comprehensive lifestyles from self-report questionnaires led us to predict hypertensive disorders of pregnancy risk at the early stages of pregnancy, which will aid early intervention to reduce the risk of hypertensive disorders of pregnancy.

Does reversible postpartum contraception reduce the risk of pregnancy condition recurrence? A longitudinal claims-based study from Maine

PurposeTo estimate the effect of reversible postpartum contraception use on the risk of recurrent pregnancy condition in the subsequent pregnancy and if this effect was mediated through lengthening the interpregnancy interval (IPI). MethodsWe used data from the Maine Health Data Organization's Maine All Payer Claims dataset. Our study population was Maine women with a livebirth index pregnancy between 2007 and 2019 that was followed by a subsequent pregnancy starting within 60 months of index pregnancy delivery. We examined recurrence of three pregnancy conditions, separately, in groups that were not mutually exclusive: prenatal depression, hypertensive disorders of pregnancy (HDP), and gestational diabetes (GDM). Effective reversible postpartum contraception use was defined as any intrauterine device, implant, or moderately effective method (pills, patch, ring, injectable) initiated within 60 days of delivery. Short IPI was defined as ≤ 12 months. We used log-binomial regression models to estimate risk ratios and 95 % confidence intervals, adjusting for potential confounders. ResultsApproximately 41 % (11,448/28,056) of women initiated reversible contraception within 60 days of delivery, the prevalence of short IPI was 26 %, and the risk of pregnancy condition recurrence ranged from 38 % for HDP to 55 % for prenatal depression. Reversible contraception initiation within 60 days of delivery was not associated with recurrence of the pregnancy condition in the subsequent pregnancy (aRR ranged from 0.97 to 1.00); however, it was associated with lower risk of short IPI (aRR ranged from 0.67 to 0.74). Conclusion(s)Although initiation of postpartum reversible contraception within 60 days of delivery lengthens the IPI, our findings suggest that it does not reduce the risk of prenatal depression, HDP, or GDM recurrence. This indicates a missed opportunity for providing evidence-based healthcare and health interventions in the intrapartum period to reduce the risk of recurrence.

Prevalence of Hypertensive Disorders of Pregnancy and Gestational Diabetes Mellitus by Race and Ethnicity in Illinois, 2018 to 2020.

Use administrative discharge data from 2018 to 2020 to determine if there are differences in the prevalence of hypertensive disorders of pregnancy (HDP) and gestational diabetes mellitus (GDM) by race and ethnicity in Illinois. This retrospective cross-sectional study used administrative discharge records from all patients who had live births in Illinois over a 3-year period; 2018, 2019, 2020. Multivariate analyses were performed to control for covariates and determine if associations vary by race and ethnicity for HDP and GDM. A total of 287,250 discharge records were included. Multivariate analyses showed that after adjusting for covariates, non-Hispanic Black women had 1.60 increased odds of HDP compared to non-Hispanic White women (OR, 1.60; 95% CI, 1.55-1.65). Hispanic women (OR, 1.45; 95% CI, 1.40-1.50), Asian/Pacific Islander women (OR, 2.07; 95% CI, 1.97-2.17), and American Indian/Alaska Native women (OR, 1.43; 95% CI, 1.17-1.74) had an increased odds of GDM compared to non-Hispanic White women. Women of color were at increased odds for HDP and GDM in Illinois. To eliminate poor maternal outcomes in women of color at risk for HDP and GDM, more culturally congruent health equity practices, policies, and comprehensive care interventions must be adopted.

Associations of maternal liver biomarkers in the first trimester with the risk of hypertensive disorders of pregnancy.

This study aimed to evaluate the association between maternal liver biomarkers in early pregnancy and the risk of hypertensive disorders of pregnancy (HDP), as well as to evaluate interaction between liver enzymes and BMI on the development of HDP. Pregnant women in our study were recruited from the Zhoushan Pregnant Women Cohort. Participants who had their first prenatal follow-up and the blood pressure follow-up records, and measured liver biomarkers in the first trimester were eligible for inclusion in the study. A total of 10,610 pregnant women were included in the analysis, and 305 (2.87%) developed the HDP. There were positive associations between AST, GGT, ALP, HSI and SBP, as well as between ALT, GGT, ALP, HSI and DBP. In addition, AST/ALT level was negatively associated with DBP. The highest quartile of GGT, ALP, AST/ALT and HSI were significantly associated with 1.71-fold (95% Cl: 1.23-2.41), 1.53-fold (95% Cl: 1.10-2.14), 0.62-fold (95% Cl: 0.43-0.90) and 1.67-fold (95% Cl: 1.05-2.67) increased risk of HDP, respectively. There was no significant association between ALT, AST and HDP. These associations remained consistent in pregnant women with liver enzymes within the clinical reference range. Besides, we found an interaction between GGT and BMI (Pinteraction = 0.013) in the development of HDP. In summary, the level of GGT, ALP, AST/ALT and HSI were associated with the subsequent risk of HDP, even within the clinical reference range. And there was an interaction between liver biomarkers and BMI in the development of HDP. Our study showed the level of GGT, ALP, AST/ALT and HSI were associated with the subsequent risk of HDP. And there was an interaction between GGT and BMI in the risk of HDP.

Machine learning prediction of hypertension and diabetes in twin pregnancies using characteristics at prenatal care entry: a nationwide study.

To develop a prediction model for hypertensive disorders in pregnancy (HDP) and gestational diabetes (GDM) in twin pregnancies utilizing characteristics at the prenatal care entry level. Cross-sectional study using the US national live birth data between 2016 and 2021. The association of all prenatal candidate variables with HDP and GDM was tested with uni- and multi-variable logistic regression analyses. Prediction models were built with generalized linear models using the logit link function and classification and regression tree approach (XGboost) machine learning (ML) algorithm. Performance was assessed with repeated 2-fold cross-validation and performance metrics we considered were area under the curve (AUC). P value <0.001 was considered statistically significant. A total of 707,198 twin pregnancies were included in the HDP analysis and 723,882 twin pregnancies for the GDM analysis. The incidence of HDP and GDM significantly increased from 12.2% in 2016 to 15.4% in 2021 and from 8.1% in 2016 to 10.7% in 2021, respectively. Factors that increase the risk of HDP in twin gestations are maternal age <20, age≥35, infertility, prepregnancy DM, non-Hispanic Black population, obesity, and those with Medicaid insurance (p<0.001). Factors that more than doubled the risk are obesity class II and III (p<0.001). Factors that increase the risk of GDM in twin gestations are age <25, age≥30, history of infertility, prepregnancy hypertension, non-Hispanic Asian population, non-US nativity, and obesity (p<0.001). Factors that more than doubled the risk are maternal age ≥ 30 years, non-Hispanic Asian, and class I, II, and III maternal obesity ( p<0.001). For both HDP and GDM, the performance of the ML and logistic regression model was mostly similar with negligible difference in terms of all tested performance domains. The AUC of the final ML model for HDP and GDM were 0.62±0.004, and 0.67±0.004, respectively. The incidence of HDP and GDM in twin gestations is increasing. The predictive accuracy of the machine learning model for both HDP and GDM in twin gestations is similar to that of the logistic regression model. Both models had modest performance, well-calibrated, and neither had a poor fit. This article is protected by copyright. All rights reserved.

Early-pregnancy N-terminal pro-brain natriuretic peptide level is inversely associated with hypertensive disorders of pregnancy diagnosed after 35 weeks of gestation

Hypertensive disorders of pregnancy (HDP) are among the major causes of high maternal and fetal/neonatal morbidity and mortality rates. Patients with HDP have significantly elevated N-terminal pro-brain natriuretic peptide (NT-proBNP) levels at diagnosis; however, the NT-proBNP levels during early pregnancy are largely unknown. This study aimed to validate the association between HDP and NT-proBNP levels. This retrospective study evaluated 103 pregnant women who developed HDP diagnosed after 35 weeks of gestation and 667 who did not. The HDP group had significantly lower early-pregnancy NT-proBNP levels than the without HDP group. However, the two groups did not significantly differ in terms of the late-pregnancy NT-proBNP levels. After adjusting for confounding factors such as age, body mass index, parity, and blood pressure levels, high early-pregnancy NT-proBNP levels were associated with a lower HDP risk. Early-pregnancy NT-proBNP levels ≥ 60.5 pg/mL had a negative predictive value of 97.0% for ruling out HDP, with a sensitivity of 87.4% and specificity of 62.5%. In conclusion, elevated early-pregnancy NT-proBNP levels were associated with a lower HDP risk. Moreover, a cutoff point of ≥ 60.5 pg/mL for early-pregnancy NT-proBNP levels had a high negative predictive value and sensitivity for ruling out HDP. These findings can provide new clinical implications.

Association of sleep traits with risk of hypertensive disorders of pregnancy: a mendelian randomization study.

Unhealthy sleep patterns are common during pregnancy and have been associated with an increased risk of developing hypertensive disorders of pregnancy (HDPs) in observational studies. However, the causality underlying these associations remains uncertain. This study aimed to evaluate the potential causal association between seven sleep traits and the risk of HDPs using a two-sample Mendelian randomization study. Genome-wide association study (GWAS) summary statistics were obtained from the FinnGen consortium, UK Biobank, and other prominent consortia, with a focus on individuals of European ancestry. The primary analysis utilized an inverse-variance-weighted MR approach supplemented by sensitivity analyses to mitigate potential biases introduced by pleiotropy. Furthermore, a two-step MR framework was employed for mediation analyses. The data analyzed included 200 000-500 000 individuals for each sleep trait, along with approximately 15 000 cases of HDPs. Genetically predicted excessive daytime sleepiness (EDS) exhibited a significant association with an increased risk of HDPs [odds ratio (OR) 2.96, 95% confidence interval (95% CI) 1.40-6.26], and the specific subtype of preeclampsia/eclampsia (OR 2.97, 95% CI 1.06-8.3). Similarly, genetically predicted obstructive sleep apnea (OSA) was associated with a higher risk of HDPs (OR 1.27, 95% CI 1.09-1.47). Sensitivity analysis validated the robustness of these associations. Mediation analysis showed that BMI mediated approximately 25% of the association between EDS and HDPs, while mediating up to approximately 60% of the association between OSA and the outcomes. No statistically significant associations were observed between other genetically predicted sleep traits, such as chronotype, daytime napping, sleep duration, insomnia, snoring, and the risk of HDPs. Our findings suggest a causal association between two sleep disorders, EDS and OSA, and the risk of HDPs, with BMI acting as a crucial mediator. EDS and OSA demonstrate promise as potentially preventable risk factors for HDPs, and targeting BMI may represent an alternative treatment strategy to mitigate the adverse impact of sleep disorders.