This study aims to identify risk factors for adverse pregnancy outcomes in primipara with gestational diabetes mellitus (GDM) combined with pregnancy-induced hypertension syndrome (PIH) and to develop a predictive model for such outcomes.

A total of 120 primipara with GDM and PIH, admitted from January 2019 to May 2023, were divided into two groups: the adverse group (n = 57) and the good group (n = 63), based on pregnancy outcomes. Multivariate logistic regression analysis was used to identify independent risk factors for adverse outcomes. A nomogram was constructed based on these factors, and its efficacy was validated through internal evaluation.

The adverse group had higher proportions of elderly parturients, higher pre-pregnancy BMI, and more weight gain during pregnancy. Additionally, the adverse group showed a higher incidence of family history of diabetes, and more severe types of PIH. Biochemical markers such as HbA1c and total cholesterol (TC) were higher in the adverse group, while high-density lipoprotein cholesterol (HDL-C) was lower (p < .01, p < .05). Multivariate logistic regression revealed that advanced maternal age, pre-pregnancy BMI, family history of diabetes, preeclampsia/chronic hypertension complicated by preeclampsia, and elevated HbA1c were independent risk factors for adverse pregnancy outcomes (p < .01). A nomogram prediction model was developed, with an AUC of 0.821. Bootstrap internal validation confirmed the model's robust discriminative ability.

Advanced maternal age, pre-pregnancy BMI, family history of diabetes, preeclampsia, and elevated HbA1c are significant risk factors for adverse pregnancy outcomes in GDM combined with PIH. The nomogram model provides an effective tool for predicting such outcomes.

This study investigated the relationship between dyslipidemia prior to conception and the risk of preeclampsia (PE) in women pregnant by in vitro fertilization and embryo transfer (IVF-ET). The retrospective cohort study consisted of 2994 women who conceived by IVF-ET and delivered live neonates. The study population was divided into two components: a training set for the prediction model development (2288 women) and a test set for validation (706 women). Multivariable logistic regression was used for the development and validation of predictive model for the risk of PE. Among the 2288 women in the training set, 266 women (11.6%) developed PE. Multiple logistic regression analysis identified independent predictors for PE: triglyceride (TG) [adjusted odds ratio (aOR) 1.284; 95% confidence interval (CI) 1.113-1.489, P < 0.001]; pre-pregnancy BMI; pre- chronic hypertension; twin pregnancy; embryo transfer protocol. These independent predictors for PE were used to form a risk prediction model, and the area under the receiver-operator characteristic (ROC) curve (AUC) in the training and the test set was 0.77 (95% CI 0.73-0.80)and 0.71 AUC (95% CI 0.65-0.77), respectively. In conclusion, higher TG levels before pregnancy were independently associated with the risk for PE in women pregnant by IVF-ET.

Hypertensive disorders of pregnancy (HDP) pose significant risks to both maternal and fetal health and have been associated with alterations in the maternal gut microbiota. However, the impact of HDP on neonatal microbiota remains poorly understood. This study aimed to characterize the gut microbiota of pregnant women with HDP and evaluate its potential influence on the meconium microbiota of their newborns.

A cohort of 67 pregnant women, including 36 diagnosed with HDP (HDP group) and 31 healthy, age-matched controls (HC group), along with their offspring, were recruited. Fecal samples collected during the third trimester and meconium samples from the newborns were subjected to microbial community profiling via 16S rRNA gene sequencing.

Principal coordinate analysis (PCoA) based on Bray-Curtis distances revealed significant differences in microbial community composition between the HDP and HC groups in both maternal and neonatal samples. Subgroup analyses, stratified by HDP severity and medication use, further delineated distinct microbial profiles relative to controls. Notably, both maternal and neonatal microbiota in the HDP group exhibited increased abundances of Enterobacter, Klebsiella, and Sphingomonas, coupled with a reduction in Acidovorax, Azospirillum, Caulobacter, Flavobacterium, Magnetospirillum, and Rubrivivax compared to the HC group. Moreover, the P4-PWY pathway, which is involved in the biosynthesis of L-lysine, L-threonine, and L-methionine, was differentially represented in both maternal and neonatal microbiota in the HDP group. These parallel patterns suggest an intergenerational concordance associated with HDP.

This study demonstrates significant alterations in the microbial communities of both maternal fecal and neonatal meconium samples in the context of HDP. The findings highlight the importance of further research to elucidate the long-term health implications of HDP-associated microbiota shifts on offspring.

High blood pressure and excess weight during pregnancy can have adverse outcomes. This randomized controlled trial evaluated the effects of a nurse-led smartphone application-based lifestyle intervention on blood pressure, body weight, and pregnancy outcomes in pregnant women with gestational hypertension between August and December 2023. Pregnant women, between 20 and 28 weeks of gestation, were allocated to the intervention or control group. Control group (n = 99) received standard high-risk pregnancy management, while intervention group (n = 96) also received lifestyle guidance via a nurse-led smartphone application. Intervention group experienced longer gestations (p = 0.007), higher neonatal weights (p = 0.028), and lower incidences of pre-eclampsia (p < 0.001), small for gestational age infants (p = 0.003), and preterm births (p = 0.023) compared to control group. The mixed-effect models for repeated measures showed that the nurse-led smartphone application intervention had no impact on body mass index, while significantly reducing systolic and diastolic blood pressure measurements (β = -1.666, 95% confidence interval, CI: -2.814 to -0.519, p = 0.005 and β = -2.247, 95% CI: -3.349 to -1.145, p < 0.001, respectively). Both systolic and diastolic blood pressures showed a downward trend from 28 weeks (p < 0.05). The nurse-led smartphone application-based lifestyle intervention significantly reduced adverse pregnancy outcomes and positively influenced blood pressure management in pregnant women with gestational hypertension.

To analyze the incidence and influencing factors of hypertensive disorders of pregnancy (HDP) in Hangzhou, China, between 2012 and 2021.

We conducted a retrospective cohort study to analyze data relating to 155,433 pregnant women in Hangzhou, China, who were divided into eight groups: gestational hypertension (GH, 4247 cases), preeclampsia (PE, 1602 cases), severe preeclampsia (SPE, 995 cases), eclampsia (9 cases), HELLP syndrome (43 cases), chronic hypertension (43 cases), chronic hypertension combined with PE or SPE (77 cases), postpartum eclampsia (5 cases), and pregnant women with normal blood pressure (148412 cases). Odds ratios (ORs) and 95 % confidence intervals (95 % CIs) were used to show the association of factors with HDP.

The total incidence of HDP was 45.17 ‰ (95 % CI: 44.14‰-46.20 ‰), and the subtypes of HDP showed an increasing trend from 2012 to 2021 (all P < 0.01). Several maternal characteristics, including maternal age (ORGH = 1.158 (1.035-1.295), 1.697 (1.478-1.948), and 2.769 (2.234-3.433), ORPE = 1.526 (1.224-1.902) to 2.506 (1.796-3.497)), non-local residence (OR = 1.124 (1.018-1.241), 1.212 (1.032-1.423), and 1.222 (1.010-1.479)), in vitro fertilization (OR = 1.263 (1.028-1.551), 1.342 (1.042-1.729) and 1.692 (1.234-2.321)), graviditas ≤1 (ORGH = 1.126 (1.035-1.226)), parity <1 (ORGH = 1.140 (1.026-1.265), ORPE = 1.336 (1.130-1.581)), non-vaginal delivery (ORGH = 1.525 (1.223-1.901), 1.185 (1.058-1.328) an 1.753 (1.612-1.908); ORpe = 2.108 (1.428-3.112), 1.464 (1.174-1.826) and 4.205 (3.643-4.854), and ORspe = 7.000 (3.517-13.930), 1.914 (1.217-3.010) and 19.981 (14.936-26.730)), maternal hospitalization >7 days (OR = 2.098 (1.921-2.291), 2.115 (1.857-2.409), and 1.553 (1.333-1.810)), and winter birth (ORGH = 1.297 (1.196-1.408), ORPE = 1.425 (1.242-1.636)), were all identified as risk factors for GH, PE, and SPE. Furthermore, HDP may increase the risk of gestational period <37 weeks, low birth weight (LBW), fetal macrosomia, and a birth length <50 cm (all P < 0.05).

The incidence of HDP and its subtypes showed an overall increasing trend from 2012 to 2021. Maternal factors and pregnancy outcomes may be strongly associated with HDP.

This study aimed to explore the different characteristics between early-onset severe preeclampsia (ESPE) and late-onset severe preeclampsia (LSPE) to improve pregnancy outcomes. We performed a retrospective cohort study between January 2016 and December 2021. Eligible hospitalized pregnant women with severe preeclampsia were assigned into the early-onset or late-onset group, depending on the gestational age at the time of severe preeclampsia onset (< or ≥ 34 gestational weeks, respectively). The clinical characteristics, laboratory results, maternal complications, and fetal and neonatal outcomes were recorded and compared between the two groups. A total of 1,238 pregnant women were included, with 525 in the early-onset group and 713 in the late-onset group. The late-onset group had more cases of gestational diabetes, whereas the early-onset group had a higher blood pressure, showed more proteinuria, had more liver and renal damage, exhibited more serious adverse maternal, fetal, and neonatal outcomes, was more likely to be admitted to the intensive care unit, and required longer hospital stays (all P < 0.05). In addition, the early-onset group had fewer prenatal care appointments and was more often transferred from a primary or secondary care hospital. The logistic regression analysis showed that a weekly weight gain of > 100 g was a risk factor for ESPE and that fewer prenatal care appointments were a risk factor for ESPE in pregnant women with female fetuses. Moreover, logistic regression analysis indicated that nulliparity and gestational diabetes during the current pregnancy were risk factors for LSPE. In conclusion, compared with the women with LSPE, those with ESPE usually had worse maternal, fetal, and neonatal outcomes. More frequent prenatal screening and care should be provided for pregnant women with high-risk factors.

To explore the relationship between hypertensive disorders of pregnancy (HDP) and adverse pregnancy outcomes and explore the risk factors for HDP.

Data were obtained from the Maternal Near-Miss Surveillance System in Hunan Province, China, 2012-2022. Chi-square trend tests (χ2 trend) were used to determine trends in prevalence by year. Unadjusted odds ratios (uORs) were used to examine the association between HDP and adverse pregnancy outcomes. Multivariate logistic regression analysis (method: Forward, Wald, α = 0.05) and adjusted odds ratios (aORs) were used to identify risk factors for HDP.

Our study included 780,359 pregnant women, and 38,397 women with HDP were identified, with a prevalence of 4.92% (95% CI 4.87-4.97). The prevalence of preeclampsia-eclampsia, gestational hypertension, chronic hypertension, and chronic hypertension with superimposed preeclampsia was 2.28% (95% CI 2.25-2.31), 2.04% (95% CI 2.00-2.07), 0.43% (95% CI 0.41-0.44), and 0.18% (95% CI 0.17-0.19), respectively. From 2012 to 2022, the prevalence of HDP increased from 3.11 to 7.39%, showing an upward trend (χ 2 trend = 2220.88, p < 0.01). HDP was associated with the following adverse pregnancy outcomes: maternal deaths (uOR =4.05), maternal near-miss (uOR =6.37), preterm birth (uOR =2.51), stillbirth and neonatal death (uOR =1.45), low birthweight (uOR =4.37), abruptio placentae (uOR =4.45), uterine atony (uOR =1.49), retained placenta (uOR =1.54), puerperal infections (uOR =2.14), abdominal surgical site infections (uOR =2.50), urinary tract infections (uOR =1.60), upper respiratory tract infections (uOR =1.75), heart disease (uOR =2.76), embolism (uOR =2.66), liver disease (uOR =1.25), anemia (uOR =1.38), diabetes mellitus (uOR =2.35), renal disease (uOR =4.66), and pulmonary disease (uOR =4.70, p < 0.05). Results of multivariate logistic regression analysis showed risk factors for HDP: maternal age > 30 years (aOR > 1, p < 0.05), gravidity > = 4 (aOR =1.10, 95% CI 1.05-1.14), primipara (aOR > 1, p < 0.05), and previous cesarean sections (aOR =1.27, 95% CI 1.24-1.31).

The prevalence of HDP was relatively high in Hunan Province. HDP was associated with many adverse pregnancy outcomes. Advanced maternal age, high gravidity, primipara, and previous cesarean section were risk factors for HDP.

Pre-eclampsia has long been proven to be an independent risk factor for postpartum depression (PPD). Excessive increase in body mass index (BMI) during pregnancy is an important factor inducing pre-eclampsia. Increased blood pressure is the main symptom of patients with pre-eclampsia. However, whether there is a correlation between BMI and blood pressure variability during pregnancy and PPD occurrence in pregnant women with pre-eclampsia remains unclear.

To investigate the relationship between BMI, blood pressure variability, and PPD in pregnant women with pre-eclampsia.

Using a cross-sectional survey research, 201 pregnant women with pre-eclampsia who were treated and delivered in Suzhou Ninth People's Hospital from May 2016 to June 2024 were selected as this study's subjects. At 42 days after delivery, the subjects were re-examined in the hospital's outpatient department. The Edinburgh Postnatal Depression Scale (EPDS) was used to evaluate whether PPD symptoms, divided the subjects into two groups: The PPD and non-PPD groups. We analyzed clinical data, changes in BMI during pregnancy, and blood pressure variability in the two groups. The Pearson method was used to test the correlation between BMI increase, blood pressure variability during pregnancy, and EPDS score in patients with pre-eclampsia. Logistic regression analysis was performed to explore whether increased BMI and blood pressure variability during pregnancy are influencing factors for PPD occurrence in patients with pre-eclampsia.

Of the 201 pre-eclamptic women who underwent an outpatient review 42 days after delivery, 37 had PPD symptoms based on the EPDS scale evaluation, resulting in an incidence rate of 18.41% (37/201). The differences between the PPD and non-PPD groups in terms of age, educational level, place of residence, reproductive history, gestational age, mode of delivery, newborn gender, and newborn birth weight were not statistically significant (P > 0.05). The gestational BMI increase, 24-hour systolic blood pressure (SBP) variability, and 24-hour diastolic blood pressure (DBP) variability in the PPD group were significantly higher than those in the non-PPD group; the differences were statistically significant (P < 0.001). Pearson correlation analysis showed that BMI increase, SBP variability, and DBP variability during pregnancy correlated positively with the EPDS score of pregnant women with pre-eclampsia (r = 0.349, 0.336, and 0.241; P < 0.001). Logistic regression analysis showed that a high increase in BMI during pregnancy [odds ratio (OR) = 4.614, 95% confidence interval (CI): 1.749-12.170, P = 0.002], large variability in 24-hour SBP (OR = 2.910, 95%CI: 1.322-6.404, P = 0.008), and large variability in 24-hour DBP (OR = 2.347, 95%CI: 1.138-4.831, P = 0.021) were factors affecting PPD occurrence in patients with pre-eclampsia.

Increased BMI and blood pressure variability during pregnancy can increase the risk of PPD in patients with pre-eclampsia. Strengthening pregnancy guidance and controlling fluctuations in BMI and blood pressure variability during pregnancy within a reasonable range can help reduce the risk of PPD in patients with pre-eclampsia.

Many pregnant women suffer from more than one pregnancy complication. However, whether those women experienced a higher risk of adverse birth outcomes is unclear. This study aims to assess the association between the comorbidity of gestational diabetes mellitus (GDM) and hypertension disorders of pregnancy (HDP) and adverse birth outcomes.

The data was from the Zhoushan Maternal and Child Health Hospital electronic medical recorder system (EMRS) between 2015 and 2022. Multivariate linear regression model was used to analyze the association of GDM, HDP, and comorbidity with birth weight and gestational age, respectively. Multiple logistic regression model was used to analyze the association of GDM, HDP, and comorbidity with adverse birth outcomes.

13645 pregnant women were included. GDM+HDP was significantly associated with a higher risk of composite adverse neonatal outcomes (OR=1.82, 95%CI: 1.02-3.04), including preterm birth, placenta previa, and/or neonatal jaundice, a higher risk of small for gestational age (SGA) (OR=2.2, 95% CI: 1.24 3.92) and large for gestational age (LGA) (OR=2.33, 95% CI: 1.64 3.31) compared with the normal group. Further analysis showed that HDP diagnosed in the 21-27th week comorbid with GDM had the lowest gestational age at delivery (β= -1.57, P=0.0002) and birth weight (β= -189.57, P=0.0138). Moreover, combined hyperglycemia (CH) comorbid with HDP had the strongest association with reduced gestational age (β= -0.83, P=0.0021).

Pregnant women suffering from both GDM and HDP had a higher risk of adverse neonatal outcomes; hence, the prevent and treatment of GDM and HDP, especially their comorbidity, are very important for pregnant women.

Preeclampsia (PE) poses a significant threat to maternal and perinatal health, so its early prediction, prevention, and management are of paramount importance to mitigate adverse pregnancy outcomes. This article provides a brief review spanning epidemiology, etiology, pathophysiology, and risk factors associated with PE, mainly discussing the emerging role of Artificial Intelligence (AI) deep learning (DL) technology in predicting PE, to advance the understanding of PE and foster the clinical application of early prediction methods.

Our narrative review comprehensively examines the PE epidemiology, etiology, pathophysiology, risk factors and predictive approaches, including traditional models and AI deep learning technology.

Preeclampsia involves a wide range of biological and biochemical risk factors, among which poor uterine artery remodeling, excessive immune response, endothelial dysfunction, and imbalanced angiogenesis play important roles. Traditional PE prediction models exhibit significant limitations in sensitivity and specificity, particularly in predicting late-onset PE, with detection rates ranging from only 30% to 50%. AI models have exhibited a notable level of predictive accuracy and value across various populations and datasets, achieving detection rates of approximately 70%. Particularly, they have shown superior predictive capabilities for late-onset PE, thereby presenting novel opportunities for early screening and management of the condition.

AI DL technology holds promise in revolutionizing the prediction and management of PE. AI-based approaches offer a pathway toward more effective risk assessment methods by addressing the shortcomings of traditional prediction models. Ongoing research efforts should focus on expanding databases and validating the performance of AI in diverse populations, leading to the development of more sophisticated prediction models with improved accuracy.

Despite the global standardization of hemoglobin (Hb) testing in early pregnancy, the impact of first trimester Hb concentrations on pregnancy outcomes remains inadequately understood. Also, the early pregnancy Hb concentrations have not been well documented in Western China. Therefore, this study aimed to assess the Hb concentrations during early pregnancy and their associations with adverse pregnancy outcomes in Western China.

This cross-sectional study used data from the Chengdu Maternal and Child Health Information System for pregnant women who delivered between January 1, 2019, and December 31, 2023. A total of 454,815 Chinese females aged 15 to 49 years with available first trimester Hb data, including those with singleton or multiple gestations, were included in the analysis. Multivariable logistic regression models were performed to estimate the adjusted odds ratios (aORs) and 95% confidence intervals (CIs) for associations between Hb categories and adverse pregnancy outcomes.

The average first trimester Hb concentration was 126.0 (SD 10.5) g/L, with 5.8% of pregnant women experiencing anemia during early pregnancy. Multivariable logistic regression analyses revealed significantly increased odds of developing gestational diabetes mellitus (GDM) and gestational hypertensive disorders (GHD) across increasing Hb concentration categories. Compared to Hb concentrations of 110-119 g/L, Hb ≥ 140 g/L was associated with elevated risk of GDM (aOR: 1.57, 95% CI: 1.52, 1.62) and GHD (aOR: 1.87, 95% CI: 1.79, 1.96). Moreover, both Hb ≤ 99 g/L (aOR: 1.15, 95% CI: 1.03, 1.29) and Hb ≥ 140 g/L (aOR: 1.20, 95% CI: 1.13, 1.26) were associated with higher odds of preterm birth compared to Hb concentrations of 110-119 g/L. In addition, the restricted cubic spline demonstrated a U-shaped relationship for cesarean delivery, low birthweight and small for gestational age (p < 0.001). However, no significant associations were found between first trimester Hb concentrations and the odds of stillbirth, Apgar score < 7 at 5 min, or Apgar score < 7 at 10 min (p > 0.05).

Our research findings suggest associations between first trimester Hb concentrations and various adverse pregnancy outcomes. We recommend interventions for early pregnancy anemia, particularly moderate to severe cases, and emphasize monitoring females with high Hb concentrations to reduce adverse outcomes.

This study aims to examine risk of adverse pregnancy outcomes and mothers' characteristics in patients with chronic hypertension, gestational hypertension and preeclampsia.

The study included all births born from women aged 15-45 years, in Lleida, Spain from 2012 to 2018. Pregnancy outcomes were retrieved by regional administrative databases. Logistic regression analysis was used to calculate adjusted odds ratios (OR) (OR 95% CI) for maternal characteristics or neonatal outcomes.

Among 17,177 pregnant women, different types of hypertension present varying risks for both the mother and fetus. There is an increased risk of cesarean section in patients with preeclampsia (OR 2.04, 95% CI: 1.43-2.88). For the newborn, a higher risk of preterm birth is associated with maternal chronic hypertension (OR 3.09, 95% CI: 1.91-4.83) and preeclampsia (OR 5.07, 95% CI: 3.28-7.65). Additionally, there is a higher risk of low birth weight in cases of maternal chronic hypertension (OR 3.2, 95% CI: 2.04-4.88), preeclampsia (OR 5.07, 95% CI: 3.34-7.52), and gestational hypertension (OR 2.72, 95% CI: 1.49-4.68). Furthermore, only newborns of patients with preeclampsia had a higher risk of an Apgar score lower than 7 in the first minute (OR 2.95, 95% CI: 1.45-5.38).

In the study population adjusted for body weight, the different types of hypertension represent different risks in the mother and foetus. These complications were mostly associated with preeclampsia.

The prevalence of high-risk pregnancy increased after the implementation of two-child policy in China, but the impact of this policy change on the burden and profile of multiple high-risk factors in pregnancy (MHFP) has been insufficiently explored. We hypothesised that the profile of MHFP might have changed after the two-child policy was implemented and aimed to estimate the prevalence, intercorrelation, and outcomes of MHFP before and after its introduction.

We obtained data on the population of pregnant women before (2015) and after (2020/2021) the implementation of universal two-child policy in Huai'an. We then included 33 risk factors in our analysis based on the Five-Colour Management framework and defined MHFP as an individual having two or more of these factors. We also estimated the changes of the prevalence of each single factor and their coexistence. Lastly, we performed a network analysis to assess the intercorrelations across these factors and used logistic regression models to evaluate MHFP-related pregnancy outcomes.

We observed an increase in the prevalence of MHFP after the implementation of the universal two-child policy (25.8% in 2015 vs 38.4% in 2020/2021, P < 0.01). Chronic conditions (e.g. gestational diabetes mellitus, abnormal body mass index) had the largest increase among the included factors, while cardiovascular disease and hypertensive disorders were central factors of the network structures. The correlations of advanced maternal age with abnormal pregnancy histories and scarred uteri increased significantly from 2015 to 2020/2021. MHFP was associated with multiple pregnancy outcomes, including preterm birth (adjusted odds ratio (aOR) = 2.57; 95% confidence interval (CI) = 2.39-2.75), low birthweight (aOR = 2.77; 95% CI = 2.54-3.02), low Apgar score (aOR = 1.41; 95% CI = 1.19-1.67), perinatal death (aOR = 1.75; 95% CI = 1.44-2.12), and neonatal death (aOR = 1.76; 95% CI = 1.42-2.18). Moreover, an increasing number and certain combinations of MHFP were associated with higher odds of pregnancy outcomes. For example, the aOR of preterm birth increased from 1.67 (95% CI = 1.52-1.87) for one risk factor to 8.03 (95% CI = 6.99-9.22) for ≥4 risk factors.

Chinese women experienced a higher burden of multiple high-risk factors after the introduction of the two-child policy, particularly those with advanced maternal age, obesity, and chronic conditions. Strategies targeting chronic conditions for women with MHFP should be prioritised and a shift to a multiple-factor-oriented framework is needed in the expanding Chinese maternal health care system.

Preeclampsia (PE) is one of the most common and serious complications of pregnancy, and novel methods for the early prediction of PE are needed for clinical application.

In this study, a circulating cell-free RNA (cfRNA) panel of target genes for PE prediction was designed and validated in a case-control cohort and a nested case-control cohort. The QPCR was applied to quantify the copy number of cfRNA, and the data were normalized as multiples of the median. Ratios of serum placental growth factor (PIGF) and soluble fms-like tyrosine kinase 1 (sFLT-1) were also measured, and transabdominal ultrasonography was conducted for subjects in the prospective cohort. Binary logistic regression models for PE prediction were constructed and tested.

Our results revealed that the women with PE showed significant alterations in serum cfRNA profiles from early pregnancy onward and before the onset of PE symptoms. Compared with PIGF/sFLT-1 measurement and ultrasonographic imaging, cfRNA test can detect PE at a very early stage of pregnancy. The predictive model exhibited the best performance at gestation week 32, with a detection rate of 100%. At 12 weeks of gestation, the model still manifested an area under curve (AUC) of 0.9144, and sensitivity of 1.0000. If combined with clinical parameters and ultrasonographic indicators, the model can achieve the highest AUC for PE prediction at early gestation.

Measurement of cfRNA can be used to effectively predict PE with high performance, providing an additional method for monitoring PE throughout the course of pregnancy.

In China, the implementation of 2-child policy since 2015 entitles increasing number of advanced maternal age. Recently, Chinese hypertensive disorders of pregnancy (HDP) in advanced-age women have attracted significant clinical and epidemiological research interest. Previous studies have shown an association between serum uric acid (SUA) levels and low birth weight (LBW) in children. Several studies have reported that advanced maternal age is a risk factor for many complications in pregnancy, including LBW. However, it remains unclear whether SUA affects LBW risk in advanced maternal age mothers with hypertensive diseases. The study was observational in nature. A total of 692 advanced maternal age with hypertension were enrolled in our study. A variety of demographic and vital sign data, laboratory test results, and pregnancy outcomes were collected. Children born with LBW served as the clinical endpoint. On admission, blood samples were taken, and women with advanced maternal ages were divided into 2 groups based on their SUA levels. In order to investigate the association between SUA and LBW, a logistic regression model was used. E-value analysis was used to determine the residual unmeasured confounding. The mean SUA level was increased in advanced maternal age patients with HDP. Of 692 newborns, 244 (35.26%) have LBW. With possible confounders adjusted, high SUA levels were independent risk factors for LBW (odds ratio [OR]2.88, 95% confidence intervals [CI]1.22-6.81), multivariate logistic regression analysis using SUA as a continuous variable recapitulated the pattern (OR 1.01, 95% CI 1.00-1.01). In addition, SUA levels in women with advanced maternal age and hypertension were linearly related to LBW incidence. According to this study, SUA levels in patients with advanced maternal age and HDP are associated with LBW incidence.

To explore the risk factors for maternal near-miss (MNM) using the WHO near-miss approach.

Data were obtained from the Maternal Near-Miss Surveillance System in Hunan Province, China, 2012-2022. Multivariate logistic regression analysis (method: Forward, Wald, α = 0.05) and adjusted odds ratios (aORs) were used to identify risk factors for MNM.

Our study included 780,359 women with 731,185 live births, a total of 2461 (0.32%) MNMs, 777,846 (99.68%) non-MNMs, and 52 (0.006%) maternal deaths were identified. The MNM ratio was 3.37‰ (95%CI: 3.23-3.50). Coagulation/hematological dysfunction was the most common cause of MNM (75.66%). Results of multivariate logistic regression analysis showed risk factors for MNM: maternal age > = 30 years old (aOR > 1, P < 0.05), unmarried women (aOR = 2.21, 95%CI: 1.71-2.85), number of pregnancies > = 2 (aOR > 1, P < 0.05), nulliparity (aOR = 1.51, 95%CI: 1.32-1.72) or parity > = 3 (aOR = 1.95, 95%CI: 1.50-2.55), prenatal examinations < 5 times (aOR = 1.13, 95%CI: 1.01-1.27), and number of cesarean sections was 1 (aOR = 1.83, 95%CI: 1.64-2.04) or > = 2 (aOR = 2.48, 95%CI: 1.99-3.09).

The MNM ratio was relatively low in Hunan Province. Advanced maternal age, unmarried status, a high number of pregnancies, nulliparity or high parity, a low number of prenatal examinations, and cesarean sections were risk factors for MNM. Our study is essential for improving the quality of maternal health care and preventing MNM.

Growth differentiation factor-15 (GDF-15) is a stress response protein and is related to cardiovascular diseases (CVD). This study aimed to investigate the association between GDF-15 and pre-eclampsia (PE).

The study involved 299 pregnant women, out of which 236 had normal pregnancies, while 63 participants had PE. Maternal serum levels of GDF-15 were measured by using enzyme-linked immunosorbent assay kits and then translated into multiple of median (MOM) to avoid the influence of gestational week at blood sampling. Logistic models were performed to estimate the association between GDF-15 MOM and PE, presenting as odd ratios (ORs) and 95% confidence intervals (CIs).

MOM of GDF-15 in PE participants was higher compared with controls (1.588 vs. 1.000, p < 0.001). In the logistic model, pregnant women with higher MOM of GDF-15 (>1) had a 4.74-fold (95% CI = 2.23-10.08, p < 0.001) increased risk of PE, adjusted by age, preconceptional body mass index, gravidity, and parity.

These results demonstrated that higher levels of serum GDF-15 were associated with PE. GDF-15 may serve as a biomarker for diagnosing PE.

China's fertility policy has dramatically changed in the past decade with the successive promulgation of the partial two-child policy, universal two-child policy and three-child policy. The trajectories of maternal and neonatal health accompanied the changes in fertility policy are unknown.

We obtained data of 280 203 deliveries with six common pregnancy complications and thirteen perinatal outcomes between 2010 and 2021 in eastern China. The average annual percent change (AAPC) was calculated to evaluated the temporal trajectories of obstetric characteristics and adverse outcomes during this period. Then, the autoregressive integrated moving average (ARIMA) models were constructed to project future trend of obstetric characteristics and outcomes until 2027.

The proportion of advanced maternal age (AMA), assisted reproduction technology (ART) treatment, gestational diabetes mellitus (GDM), anaemia, thrombocytopenia, thyroid dysfunction, oligohydramnios, placental abruption, small for gestational age (SGA) infants, and congenital malformation significantly increased from 2010 to 2021. However, the placenta previa, large for gestational age (LGA) infants and stillbirth significantly decreased during the same period. The AMA and ART treatment were identified as independent risk factors for the uptrends of pregnancy complications and adverse perinatal outcomes. The overall caesarean section rate remained above 40%. Importantly, among multiparas, a previous caesarean section was found to be associated with a significantly reduced risk of hypertensive disorders of pregnancy (HDP), premature rupture of membranes (PROM), placenta previa, placental abruption, perinatal asphyxia, LGA infants, stillbirths, and preterm births. In addition, the ARIMA time series models predicted increasing trends in the ART treatment, GDM, anaemia, thrombocytopenia, postpartum haemorrhage, congenital malformation, and caesarean section until 2027. Conversely, a decreasing trend was predicted for HDP, PROM, and placental abruption premature, LGA infants, SGA infants, perinatal asphyxia, and stillbirth.

Maternal and neonatal adverse outcomes became more prevalent from 2010 to 2021 in China. Maternal age and ART treatment were independent risk factors for adverse obstetric outcomes. The findings offered comprehensive trajectories for monitoring pregnancy complications and perinatal outcomes in China, and provided robust intervention targets in obstetric safety. The development of early prediction models and the implementation of prevention efforts for adverse obstetric events are necessary to enhance obstetric safety.

Hypertensive disorders in pregnancy (HDP) constitute a worldwide health problem for pregnant women and their infants. This study provided HDP burden over 1990 to 2019 by region and age distribution, and predicted changes in related values for the next 25 years. We then conducted an econometric analysis of the author distribution, collaborative networks, keyword burst clustering, and spatio-temporal analysis of HDP-related publications from 2012 to 2022 to access current scientific developments and hotspots. The number of pregnant women with HDP has been increasing over the past 30 years, with regional and age-stratified differences in the burden of disease. Additionally, projections suggest an increase of deaths due to maternal HDP among adolescents younger than 20 years. Current research is mostly centered on pre-eclampsia, with hot keywords including trophoblast, immune tolerance, frozen-thawed embryo transfer, aspirin, gestational diabetes association, and biomarkers. Researches on the pathological mechanism, classification, and subtypes of HDP need to be further advanced.

Gestational diabetes mellitus (GDM) and hypertensive disorders of pregnancy (HDP) are the predominant pregnancy complications among singleton and twin pregnancies worldwide. Our primary objective was to explore the adverse effect of GDM and HDP on maternal-perinatal outcomes compared with non-GDM and non-HDP in singleton and twin pregnancies. The secondary objective was to find the risk of adverse maternal-perinatal outcomes in twin pregnancies compared with singleton pregnancies complicated with GDM and HDP in Hubei, China.

A tertiary hospital-based retrospective study was conducted at Wuhan University Renmin Hospital, Hubei Province, China, from 2011 to 2019. A chi-square test was used to determine the difference in adverse maternal-perinatal outcomes between singleton and twin pregnancies. A multiple binary logistic regression model and a joinpoint regression model were used to determine the association of GDM and HDP with adverse maternal-perinatal outcomes and GDM and HDP temporal trend among singleton and twin pregnancies.

The trend of HDP [average annual percentage change (AAPC) 15.1% (95% confidence interval (95%CI): 5.3, 25.7)] among singleton pregnancies and GDM [AAPC 50.4% (95%CI: 19.9, 88.7)] among twin pregnancies significantly increased from 2011 to 2019. After adjusting for confounding factors, GDM is associated with an increased risk of C-section (adjusted odds ratio (aOR), 1.5; 95%CI: 1.3, 1.6) and macrosomia (aOR, 1.3; 95%CI: 1.1, 1.6) in singleton and preterm birth (PTB) (aOR, 2.1; 95%CI: 1.2, 3.3) in twin pregnancies compared with non-GDM. HDP was associated with a higher risk of C-section, PTB, perinatal mortality, and low birth weight (LBW) in both singleton and twin pregnancies compared with the non-HDP. Compared with singleton pregnancies complicated with GDM and HDP, twin pregnancies showed higher odds of C-section [(aOR, 1.7; 95%CI: 1.1, 2.7), (aOR, 4.6; 95%CI: 2.5, 8.7), respectively], PTB [(aOR, 22.9; 95%CI: 14.1, 37.3), (aOR, 8.1; 95%CI: 5.3, 12.3), respectively], LBW [(aOR, 12.1; 95%CI: 8.2, 18.1), (aOR, 5.1; 95%CI: 3.6, 7.4), respectively], and low Apgar score [(aOR, 8.2; 95%CI: 4.4, 15.1), (aOR, 3.8; 95%CI: 2.4, 5.8), respectively] complicated with GDM and HDP.

In conclusion, GDM showed an increased risk of a few adverse maternal-perinatal outcomes and HDP is associated with a higher risk of several adverse maternal-perinatal outcomes in singleton and twin pregnancies compared to non-GDM and non-HDP. Moreover, twin pregnancies complicated with GDM and HDP showed higher odds of adverse maternal-neonatal outcomes compared with singleton pregnancies complicated with GDM and HDP.

The past two to three decades have seen a steady increase in the prevalence of hypertension in China, largely owing to increased life expectancy and lifestyle changes (particularly among individuals aged 35-44 years). Data from the China hypertension survey conducted in 2012-2015 revealed a high prevalence of grade 3 hypertension (systolic blood pressure ≥180 mmHg and diastolic blood pressure ≥110 mmHg) in the general population, which increased with age to up to 5% among individuals aged ≥65 years. The risk profile of patients with hypertension in China has also been a subject of intense study in the past 30 years. Dietary sodium and potassium intake have remained largely the same in China in the past three decades, and salt substitution strategies seem to be effective in reducing blood pressure levels and the risk of cardiovascular events and death. However, the number of individuals with risk factors for hypertension and cardiovascular disease in general, such as physical inactivity and obesity, has increased dramatically in the same period. Moreover, even in patients diagnosed with hypertension, their disease is often poorly managed owing to a lack of patient education and poor treatment compliance. In this Review, we summarize the latest epidemiological data on hypertension in China, discuss the risk factors for hypertension that are specific to this population, and describe several ongoing nationwide hypertension control initiatives that target these risk factors, especially in the low-resource rural setting.

The effects of fine particulate matter (PM) on de novo hypertensive disorders of pregnancy (HDP) were inconsistent during the first and second trimesters. This study aimed to assess the trimester-specific effects of PM2.5 and PM1 prior to diagnosis of de novo HDP. The exposure of fine PM was predicted by satellite remote sensing data according to maternal residential addresses. De novo HDP was defined as gestational hypertension and preeclampsia during the current pregnancy. A logistic regression model was performed to assess the association of PM2.5 and PM1 with HDP during the first and early second trimesters (0-13 weeks and 14-20 weeks). The generalized estimating equation model was conducted to assess the effect of PM2.5 and PM1 on blood pressure. The present study included 22,821 pregnant women (mean age, 29.1 years) from 2013 to 2017. PM2.5 and PM1 were significantly associated with an increased risk of de novo HDP during the first trimester (OR = 1.070, 95% CI: 1.013-1.130; OR = 1.264, 95% CI: 1.058-1.511 for per 10 μg/m3) and early second trimester (OR = 1.045, 95% CI: 1.003-1.088; OR = 1.170, 95% CI: 1.002-1.366 for per 10 μg/m3). Significant trends of increased de novo HDP risk was also observed with the increment of PM (all P for trend <0.05). The stratified analyses demonstrated that the associations between exposure to fine PM and the risk of HDP were more pronounced among the pregnant women with maternal age above 35 and low maternal education level (all OR >1.047). Each 10 μg/m3 increase of PM1 and PM2.5 before diagnosis of de novo HDP elevated 0.204 (95% CI: 0.098-0.310) and 0.058 (95%CI: 0.033-0.083) mmHg of systolic blood pressure. Exposure to PM2.5 and PM1 during the first and early second trimester were positively associated with the risk of de novo HDP. The fine PM before diagnosis of de novo HDP elevated the systolic blood pressure.

Insulin resistance (IR) is a normal feature of pregnancy and plays a crucial role in the pathophysiology of hypertensive disorder of pregnancy (HDP). The triglyceride-glucose index (TyG index) has been shown as a simple and reliable alternative IR marker. This work aimed to investigate the association between the TyG index and the incidence of HDP and adverse pregnancy outcomes.

From January 2016 to December 2018, 289 women with HDP and 861 women without HDP were recruited at Shanghai Fifth People's Hospital, Fudan University to determine the relationship between the TyG index and the incidence of HDP and adverse pregnancy outcomes.

In the case-control study, the incidence of HDP was found to be significantly associated with the TyG index. Moreover, logistic regression indicated that the TyG index is an independent risk factor for HDP development and incidence of low birth weight (LBW) and fetal distress. In the cohort study, the results showed that the TyG index increased, there was a stepwise increase in HDP incidence, SBP, and DBP levels one week before delivery as well as in LBW and fetal distress incidence. The early trimester TyG index was positively associated with pre-pregnancy BMI, systolic blood pressure (SBP), and diastolic blood pressure (DBP) one week before delivery. Spline regression showed that there was a significant linear association between HDP incidence and early trimester TyG index when it was >8.5.

This work suggested that the early trimester TyG index was closely associated with the development of HDP and adverse pregnancy outcomes.

To explore the correlation between serum ferritin (SF) in early pregnancy and the risk of hypertensive disorders in pregnancy (HDP).

A retrospective cohort study was conducted on 43,421 pregnant women with singleton pregnancies who underwent antenatal checkups at Fujian Provincial Maternal and Child Health Hospital from January 2018 to December 2020. Based on pregnancy records, women were classified as non-hypertensive, having gestational hypertension, preeclampsia and preeclampsia with severe features according to the degree of the disease. General baseline data, and SF levels in the early (up to 12 gestational weeks) and late (after 28  weeks of gestation) stages of pregnancy were collected. The significance of the characteristic variables was assessed using a random forest algorithm, and the correlation between early pregnancy SF levels and the incidence of HDP was further analyzed using logistics regression adjusted for confounders. A generalized additive model (GAM) was fitted to a smoothed graph of the relationship between early pregnancy SF levels and HDP, and a threshold effect analysis was performed to find the threshold values of early pregnancy SF for iron supplementation therapy.

A total of 30,703 pregnant women were included. There were 1,103 women who were diagnosed with HDP. Of them, 418 had gestational hypertension, 12 had chronic hypertension without SPE, 332 - preeclampsia and 341 women had preeclampsia with severe features. Levels of SF in early and late pregnancy were significantly higher (p < 0.001) in women with HDP compared to non-hypertensive women and the difference was more pronounced in early pregnancy. The random forest algorithm showed that early pregnancy SF was more effective in predicting HDP compared to late pregnancy SF levels and was also an independent risk factor for HDP (adjusted odds ratio (AOR) = 1.07, 95% CI [1.05,1.09]) after correction for confounding factors. Early pregnancy SF >64.22  mg/l was associated with higher risk of developing hypertensive disorders.

Risk of pregnancy-related hypertensive disorders increases with increasing early pregnancy SF levels. SF levels may therefore be used to further develop guidelines for iron supplementation therapy in pregnant women.

Pre-eclampsia (PE) is a type of hypertensive disorder during pregnancy, which is a serious threat to the life of mother and fetus. It is a placenta-derived disease that results in placental damage and necrosis due to systemic small vessel spasms that cause pathological changes such as ischemia and hypoxia and oxidative stress, which leads to fetal and maternal damage. In this study, four types of risk factors, namely, clinical epidemiology, hemodynamics, basic biochemistry, and biomarkers, were used for the initial selection of model parameters related to PE, and factors that were easily available and clinically recognized as being associated with a higher risk of PE were selected based on hospital medical record data. The model parameters were then further analyzed and screened in two subgroups: early-onset pre-eclampsia (EOPE) and late-onset pre-eclampsia (LOPE). Dynamic gestational week prediction model for PE using decision tree ID3 algorithm in machine learning. Performance of the model was: macro average (precision = 76%, recall = 73%, F1-score = 75%), weighted average (precision = 88%, recall = 89%, F1-score = 89%) and overall accuracy is 86%. In this study, the addition of the dynamic timeline parameter "gestational week" made the model more convenient for clinical application and achieved effective PE subgroup prediction.

To investigate the impact of gestational hypertension and pre-eclampsia on preterm birth.

The data were collected from the China-US Collaborative Project for Neural Tube Defect Prevention; this was a large population-based cohort study.

We selected participants registered in two southern provinces, for whom we had exact information on gestational blood pressure and pregnancy outcomes, and who were not affected by chronic hypertension. In total, 200 103 participants were recruited from 1993 to 1995.

Preterm birth was defined as a singleton pregnancy and birth before 37 gestational weeks.

The incidences of gestational hypertension and pre-eclampsia were 5.47% and 5.44%, respectively, for women who gave birth at full term, and 5.63% and 7.33%, respectively, for those who gave birth preterm. After adjusting for potential confounders, the risk ratios (RRs) of preterm birth in women with gestational hypertension and pre-eclampsia were 1.04 (95% CI 0.98 to 1.11) and 1.39 (95% CI 1.25 to 1.55), respectively. The associations were stronger for early-onset (<28 weeks of gestation) gestational hypertension (adjusted RR=2.13, 95% CI 1.71 to 2.65) and pre-eclampsia (adjusted RR=8.47, 95% CI 5.59 to 12.80).

Pre-eclampsia was associated with a higher risk of preterm birth. The early-onset gestational hypertension and pre-eclampsia were associated with more severe risks than late-onset conditions.

Preeclampsia (PE) is a common and serious pregnancy-specific disorder, which is closely linked with adverse maternal and neonatal outcomes. This study aimed to evaluate whether maternal pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) was associated with preeclampsia and its phenotypes. In this prospective study, 32,531 women with singleton pregnancies were finally included. Compared with women with normal pre-pregnancy BMI, women with overweight and obesity were at increased risk of PE (RR = 1.62, 95%CI: 1.57−1.66; RR = 2.04, 95%CI: 1.97−2.11, respectively), while those who were underweight had a lower risk of PE (RR = 0.84, 95%CI: 0.81−0.88). When compared with women who gained adequate GWG, pregnant women with inadequate GWG and excessive GWG had an increased risk of PE (RR = 1.15, 95%CI: 1.12−1.19; RR = 1.56, 95%CI: 1.52−1.60, respectively). The observed increased risk was generally similar for mild-, severe-, early- and late-onset PE, and the reduced risk was similar for severe- and late-onset PE. No significant interactions between GWG and pre-pregnancy BMI on the risk of PE were identified (p-interaction > 0.05). In conclusion, pre-pregnancy overweight or obesity and excessive GWG have established risk factors for PE, and that the potential risk may vary according to PE phenotypes. Moreover, the synergistic effect that may exist between pre-pregnancy BMI and GWG.

The prevalence of hypertensive disorder during pregnancy (HDP) and childhood obesity is increasing worldwide. HDP or obesity in mothers can increase the risk of overweight/obesity (OWOB) in their children. Few longitudinal studies have examined the associations of maternal body weight with the growth and risk factors for overweight in infants born to mothers with HDP. This study examined the risk factors for childhood OWOB through the age of 66 months in children born to mothers with HDP.

In total, 24,200 pairs of mothers and their children were selected from the Taiwan Birth Cohort Study. The children's body weights were classified and analyzed to determine infant growth at birth and at the ages of 12, 24, 36, and 66 months. Multiple logistic regression analyses with different model settings were performed to identify the factors affecting growth and childhood OWOB in the children of mothers with HDP.

The average birth weight of children was lower in the HDP group than in the non-HDP group. The catch-up phenomenon began at the age of 18 months. The incidence of OWOB was higher in the children in the HDP group than in those in the non-HDP group from the age of 24 months and increased with the children's age. At every age point, maternal overweight before pregnancy was the main risk factor for childhood OWOB, and this effect increased with the children's age (odds ratio [OR]: 1.83 at 66 months). The effect of excessive maternal gestational weight gain on childhood OWOB was significant (OR: 1.26-1.44 for various age points).

Maternal overweight is the main risk factor for OWOB in children born to mothers with HDP. After adjusting for related confounders, we determined that HDP did not exert a significant effect on the risk of childhood OWOB.

Hypertensive disorders in pregnancy (HDP) are a leading cause of maternal mortality and adverse birth outcomes. Fine particulate matter (PM_2.5) has been linked to HDP risk; however, limited studies have explored the relationships between specific chemical constituents of PM_2.5 and HDP risk. Based on maternal data from the China Labor and Delivery Survey (CLDS), this study included a total of 67,659 participants from 95 participant hospitals in 25 provinces of China between March 1, 2015, and December 31, 2016. Maternal exposure to total PM_2.5 mass and six main components during pregestation and pregnancy were estimated using the Combined Geoscience-Statistical Method. Multilevel logistic regression models were applied to quantify the associations, controlling for sociodemographic characteristics. We found that an interquartile range (IQR) increase in PM_2.5 exposure during the second trimester was associated with a 14% increase in HDP risk (95% CI: 2%, 29%). We observed that black carbon (BC) and SO₄^2- had larger or comparable estimates of the effect than total PM_2.5 mass. The association estimates were greater in the gestational hypertension group than in the group of pre-eclampsia and eclampsia. Our findings suggest that PM_2.5 exposure and specific chemical components (particularly BC and SO₄^2-) were associated with an increased HDP risk in China.

The associations between hypertensive disorders of pregnancy and nonsyndromic orofacial clefts (NSOFCs) are not consistent or based on case-control study design. We hypothesize that OFCs and NSOFCs are associated with hypertensive disease in pregnancy.

Data were collected from the Project for Neural Tube Defects Prevention (1993-1996), a large population-based cohort study conducted in two southern provinces of China. We used a system to record all births after 20 complete gestational weeks, including live births and stillbirths, and all structural congenital anomalies regardless of gestational week. A total of 200 215 singleton live births without other external birth defects were finally included.

The incidence of NSOFCs was 20.2 per 10 000 for the whole population, and 20.5 and 39.2 per 10 000 for women with gestational hypertension and preeclampsia, respectively. Compared with the nonpreeclampsia group, preeclampsia was associated with an increased risk of NSOFCs [adjusted risk ratio (RR) = 2.02, 95% confidence interval (CI): 1.27-3.20], cleft lip with or without cleft palate (CL/P) [adjusted RR = 2.24, 95% CI 1.37-3.65], and cleft lip and palate (CLP) [adjusted RR = 2.60, 95% CI 1.45-4.67] but not cleft lip only (CLO) [adjusted RR = 1.66, 95% CI 0.68-4.07] or cleft palate only (CPO) [adjusted RR = 1.09, 95% CI 0.27-4.45]. No associations were observed between gestational hypertension and any types of NSOFCs.

Our study supported that among hypertensive disorders of pregnancy, only preeclampsia increased the risk of NSOFCs and its subtypes (CL/P and CLP).

To assess the independent risk factors and pregnancy outcomes of hypertensive disorders of pregnancy (HDPs) in Chinese advanced age pregnancy women.

Secondary analysis of international published data.

PubMed, Web of Science, Scopus, Embase, Cochrane library, and Chinese databases from inception to February 23, 2022 were searched to identify eligible studies. Meta-analysis was conducted to provide meaningful summative outcomes. The quality evaluation of included study was performed. The analyses were done with Review Manager 5.3 and Stata 14.0 software.

Totally, 13 eligible articles were included, among which 3 articles investigated the risk factors, 6 articles studied pregnancy outcomes, and 4 articles examined both risk factors and pregnancy outcomes. Chinese older pregnant women with the HDPs had high pooled incidences of abnormal body mass index, maternal education, family history of hypertension, history of chronic hypertension, gestational diabetes, irregular delivery inspection, psychosocial factors, and primiparity compared to those without HDPs. The incidence of cesarean delivery, placental abruption, premature rupture of membranes, postpartum hemorrhage, preterm birth, fetal asphyxia, fetal distress, fetal growth restriction, and low birth weight in Chinese older pregnant women with HPDs were significantly higher than those without HDPs.

This study identified several possible risk factors which promoted the onset of HDPs in Chinese older pregnant women, and HDPs significantly increases risk of adverse pregnancy outcomes (APOs). Further research is needed to take targeted measures to prevent HDPs and explore efficient management methods to minimize the risk of APOs associated with HDPs in Chinese older pregnant women.

To examine the effect of weight gain during pregnancy on preeclampsia among women with a prepregnancy body mass index < 18.5 kg/m2 .

This retrospective cohort study included 479 Japanese women with singleton pregnancies and a prepregnancy body mass index < 18.5 kg/m2 , who gave birth between 2013 and 2019 at Ohta Nishinouchi Hospital. The study included 22 (18 with preeclampsia and four with gestational hypertension) and 457 patients with and without hypertensive disorders of pregnancy, respectively.

The prevalence of hypertensive disorders of pregnancy and preeclampsia was 4.6% and 3.8%, respectively. With weight gain during pregnancy (continuous variable) set as a reference, multiple logistic regression revealed that excessive weight gain during pregnancy increased the risk of preeclampsia (adjusted odds ratio: 1.13, 95% confidence interval: 1.00-1.28, p < 0.05) and hypertensive disorders of pregnancy (adjusted odds ratio: 1.15, 95% confidence interval: 1.03-1.29, p < 0.05). Based on receiver operating characteristic curve analyses (area under the curve 0.65, 95% confidence interval: 0.50-0.80; p < 0.05), we determined the cutoff value of weight gain during pregnancy for the occurrence of preeclampsia among women with body mass index < 18.5 kg/m2 to be 13.0 kg, with sensitivity and specificity of 0.50 and 0.78, respectively.

This study indicates that excessive weight gain during pregnancy increases preeclampsia risk among underweight women and provides new recommendations for weight gain during pregnancy for such women. Further research regarding the pathogenesis of preeclampsia for underweight women is warranted.

Maternal hypertensive disorders during pregnancy may have an impact on fetal development and the health of the offspring in later life. The aim of the study was to evaluate the associations of maternal gestational hypertension (GH) with high blood pressure (HBP) (prehypertension/hypertension) and overweight/obesity in their adolescent offspring at the age of 12 to 15 years. We analyzed data of 4819 participants born in Kaunas city during 1995-1998 who were included in the study "Prevalence and Risk Factors of HBP in 12-15-Year-Old Lithuanian Children and Adolescents". The diagnosis of maternal gestational hypertension was obtained from medical records. Associations of maternal GH with their offspring's HBP and overweight/obesity in adolescence were assessed by multivariate logistic regression analysis. Among 4819 adolescents of 12-15 years of age, 25.7% had HBP, 12% had overweight, and 2.5% had obesity. Of 4819 mothers, 92.3% were normotensive during pregnancy, and 7.7% had GH. In the multivariate analysis after adjustment for age, sex, birth weight, adolescent BMI, and maternal pre/early pregnancy BMI, adolescent offspring born to mothers with GH had higher odds of prehypertension, hypertension, and prehypertension/hypertension (aOR 1.58; 95% CI 1.13-2.22; aOR 1.87; 95% CI 1.41-2.47; and aOR 1.76, 95% CI 1.39-2.24; respectively), compared to the offspring of normotensive mothers. After adjustment for age, sex, birth weight, and maternal pre/early pregnancy BMI, a significant association was found between maternal GH and the offspring's overweight/obesity in adolescence (aOR 1.41; 95% CI 1.04-1.91). The findings of this study suggest that maternal GH is associated with an increased odds of HBP (prehypertension and hypertension, both separately and combined) and overweight/obesity in their offspring during adolescence.

Preeclampsia (PE) is a pregnancy-specific multisystemic syndrome. This study aimed to investigate the associations between angiotensinogen (AGT), methylenetetrahydrofolate reductase (MTHFR), vascular endothelial growth factor (VEGF) polymorphisms, and PE in the Han Chinese population.

We genotyped 26 single-nucleotide polymorphisms (SNP) in three genes by using QuantStudio™ 12 K Flex Real-Time PCR technology in 168 patients with PE and 204 healthy pregnant control subjects. The associations of tested polymorphisms with PE were analyzed at allele, genotype, and haplotype levels.

A common coding variant in MTHFR, rs2274976, was significantly associated with increased risk of PE in both allelic and genotype models (P < 0.05). The heterozygous genotypes of rs699 (G/A vs G/G) in AGT gene and rs3025035 (C/T vs C/C) in VEGF gene showed weak associations with increased PE risk, whereas the mutant homozygous genotype of rs3024987 (TT vs C/C) and the heterozygous genotype of rs3025039 (C/T vs C/C) in VEGF gene displayed weak associations with decreased PE risk (P < 0.05).

However, these weak associations lost significance after multiple testing correction. The results indicated that rs2274976 in MTHFR gene may contribute to the increased risk of PE in pregnant women. AGT and VEGF gene polymorphisms may not play a significant role in PE development.

To investigate pregnancy outcomes and risk factors in patients with lupus nephritis (LN).

A total of 158 pregnancies in 155 women with LN were divided into a remission group and a control group according to whether they achieved complete renal remission (CRR) prior to pregnancy. The adverse pregnancy outcomes and risk factors were retrospectively analyzed.

In the remission group, 130 LN patients with 133 pregnancies (two twin pregnancies) delivered 127 live births; 25 LN patients with 25 pregnancies delivered 19 live births in the control group. Compared with the control group, the remission group had significantly lower incidence of LN relapse, fetal loss, and premature birth. For LN patients in the remission group, a CRR duration < 18 months (odds ratio (OR) 11.24, 95% confidence interval (CI) 2.95-42.80, P < 0.001) and anti-C1q antibody positivity before pregnancy (OR 7.2, 95% CI 1.38-37.41, P = 0.019) were independent risk factors for LN relapse; anti-phospholipid antibody positivity (OR 9.32, 95% CI 1.27-68.27, P = 0.028) and prednisone dosage during pregnancy ≥ 12.5 mg/d (OR 3.88, 95% CI 1.37-10.99, P = 0.011) were independent risk factors for fetal loss and premature birth, respectively; and age > 30 years was an independent risk factor for preeclampsia and premature birth.

LN patients with a complete renal remission duration greater than 18 months were associated with good pregnancy outcomes and lower LN relapse. Age, anti-C1q and anti-phospholipid antibodies, and prednisone dosage during pregnancy were risk factors for adverse pregnancy outcomes.