LncRNA-NEAT1 blocks the Wnt/ß-catenin signaling pathway by targeting miR-217 to inhibit trophoblast cell migration and invasion.

OBJECTIVE: This study aimed to study the correlation between preeclampsia (PE) and lncRNA nuclear paraspeckle assembly transcript 1 (NEAT1), and to examine the molecular mechanisms behind the development of PE. METHODS: 30 PE and 30 normal pregnant women placental samples were assessed the levels of NEAT1 and miR-217 by quantitative real-time PCR (qRT-PCR). The trophoblast cell line HTR8/SVneo was used for silencing NEAT1 or miR-217 inhibitor in the absence or presence of an inhibitor and H2O2. Cell counting Kit 8 (CCK-8), flow cytometry, and Transwell were used to detect cell proliferation, apoptosis, migration, and invasion. Luciferase reporter gene assay was utilized to verify the binding between miR-217 and Wnt family member 3 (Wnt3), and between the miR-217 and NEAT1. Proteins related to the Wnt/ß-catenin signaling pathway were detected using western blotting. RESULTS: The PE group exhibited a significantly downregulated expression of miR-217 and a significantly upregulated expression of NEAT1. NEAT1 targeted miR-217, and Wnt is a miR-217 target gene. siRNA-NEAT1 inhibited the apoptosis of trophoblast cells, but promoted their invasion, migration, and proliferation. MiR-217 inhibitor could partially reverse the effects of siRNA-NEAT1. The expression of the Wnt/ß-catenin signaling pathway-related proteins, WNT signaling pathway inhibitor 1 (DKK1), cyclin-D1 and ß-catenin, was significantly increased after siRNA-NEAT1. CONCLUSIONS: NEAT1 could reduce trophoblast cell invasion and migration by suppressing miR-217/Wnt signaling pathway, leading to PE.

Correlation between serum ferritin in early pregnancy and hypertensive disorders in pregnancy.

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

Effectiveness of post-mastectomy adjuvant chemotherapy for the treatment of patients with prognostic stage IB breast cancer: A SEER-based study.

BACKGROUND: Adjuvant chemotherapy (AC) is an important, effective treatment for breast cancer. This study evaluates the effectiveness of post-mastectomy AC in treating patients with prognostic stage IB breast cancer. METHOD: We conducted a retrospective cohort-based study using Surveillance, Epidemiology, and End-Results database. Overall survival (OS) and breast cancer-specific survival (BCSS) were calculated using the Kaplan-Meier method. Multivariate Cox risk models were used to identify the impact of AC. Stratified analysis was performed according to molecular subtypes, anatomic stages, and other risk factors to evaluate the effect of AC on survival. RESULTS: 28,825 women diagnosed with prognostic stage IB breast cancer were included. The 5-year OS was significantly higher in AC group than in non-adjuvant chemotherapy (NAC) group (P < 0.0001); however, the 5-year BCSS in AC group was significantly lower than in NAC group (P = 0.039). Multivariate analysis revealed that AC was a favorable prognostic factor for OS (P < 0.001), but not BCSS (P = 0.407). AC was not an independent prognostic factor for BCSS in patients with hormone receptor-positive, human epidermal growth factor receptor 2-negative (HR[+]/HER2[-]) subtype or pT1a-1b/N0-1 stage with HER2 overexpression (HER2[+]) subtype, regardless of whether HR was positive or negative (P > 0.05). Meanwhile, AC is not an independent prognostic factor for OS and BCSS in patients with lymph node micrometastases. CONCLUSION: Our study demonstrates that patients with prognostic stage IB do not fully benefit from AC. Individualized treatment management is required for patients with pT1a-1b/N0-1 tumors, lymph node micrometastases, or HR(+)/HER2(-) subtypes.

Analysis of relative factors and prediction model for optimal ovarian response with gonadotropin-releasing hormone antagonist protocol.

Objective: To explore the relative factors for best ovarian response in patients undergoing assisted reproductive technology with the gonadotropin-releasing hormone antagonist protocol and to establish a nomogram prediction model of ovarian response. Methods: A retrospective cohort analysis of the clinical data of 1,944 patients who received assisted reproductive treatment in the Center for Reproductive Medicine of Fujian Maternity and Child Health Hospital from April 1, 2018, to June 30, 2020. According to the number of oocytes obtained, there were 659 cases in the low ovarian response group (no more than five oocytes were retrieved), 920 cases in the normal ovarian response group (the number of retrieved oocytes was >5 but ≤18), and 365 cases in the high ovarian response group (>18 oocytes retrieved). Independent factors affecting ovarian responsiveness were screened by logistic regression, which were the model entry variables, and a nomogram prediction model was established based on the regression coefficients. Results: There were statistically significant differences in age, anti-Mullerian hormone, antral follicle count, the diagnosis of endometriosis, decreased ovarian reserve, polycystic ovary syndrome, basal follicle-stimulating hormone and basal luteinizing hormone among the three groups (P < 0.001). Multifactorial stepwise regression analysis showed that female age (0.95 [0.92-0.97], P = 0.000), decreased ovarian reserve (0.27 [0.19-0.38]), P = 0.000), endometriosis (0.81 [0.56-0.86], P = 0.000), antral follicle count (1.09 [1.06-1.12], P = 0.000), basal follicle-stimulating hormone (0.90 [0.85-0.96], P = 0.001), Anti-Mullerian hormone (1.19 [1.13-1.26], P= 0.000) and luteinizing hormone on trigger day (0.73 [0.66-0.80], P= 0.000), were independent factors for the occurrence of different ovarian responses during ovarian hyperstimulation. The predictive model of ovarian responsiveness was constructed based on the above factors, and the model was verified with 589 patients' data from July 1, 2020, to December 31, 2020, at this center. The predicted ovarian response (number of eggs obtained) of a total of 450 patients was consistent with the actual results, with a coincidence degree of 76.4%, and the consistency index of the model is 0.77. Conclusion: The nomogram model was successfully developed to effectively, intuitively, and visually predict the ovary reactivity in the gonadotropin-releasing hormone antagonist protocol and provide guidance for clinical practice.

A New Model for the Predicting the Risk of Preeclampsia in Twin Pregnancy.

Objective: We aimed to develop an effective nomogram model for predicting the risk of preeclampsia in twin pregnancies. Methods: The study was a retrospective cohort study of women pregnant with twins who attended antenatal care and labored between January 2015 and December 2020 at the Fujian Maternity and Child Health Hospital, China. We extracted maternal demographic data and clinical characteristics. Then we performed the least absolute shrinkage and selection operator regression combined with clinical significance to screen variables. Thereafter, multivariate logistic regression was used to construct a nomogram that predicted the risk of preeclampsia in twin pregnancies. Finally, the nomogram was validated using C-statistics (C-index) and calibration curves. Results: A total of 2,469 women with twin pregnancies were included, of whom 325 (13.16%) had preeclampsia. Multivariate logistic regression models revealed that serum creatinine, uric acid, mean platelet volume, high-density lipoprotein, lactate dehydrogenase, fibrinogen, primiparity, pre-pregnancy body mass index, and regular prenatal were independently associated with preeclampsia in twin pregnancies. The constructed predictive model exhibited a good discrimination and predictive ability for preeclampsia in twin pregnancies (concordance index 0.821). Conclusion: The model for the prediction of preeclampsia in twin pregnancies has high accuracy and specificity. It can be used to assess the risk of preeclampsia in twin pregnancies.

A retrospective analysis of emergency hysterectomy intervention strategy in obstetrics.

Objectives: To investigate the indications of obstetric emergency hysterectomy and analyze the clinical effects of subtotal hysterectomy and total hysterectomy. Methods: We included 247 hospitalized women who had undergone abdominal hysterectomy due to obstetric reasons in Fujian Province Maternity and Child Health Hospital (a provincial class-A hospital) and Ningde People's Hospital (a primary Class-B hospital) between January 2002 and December 2018. We identified surgical indications and clinical characteristics of the patients. Furthermore, the patients from Fujian Provincial Maternity and Child Health Hospital were subdivided into subtotal hysterectomy group and total hysterectomy group to examine general operation conditions, and postoperative complications. Results: The main surgical indications for emergency obstetric hysterectomy in Fujian Maternity and Child Health Hospital were placental implantation (49.6%) and uterine weakness (31.9%), while uterine weakness (37.5%) was the most important indication in Ningde People's Hospital. No differences were found in operation time, hospitalization time, intraoperative blood loss, postpartum blood loss, and intraoperative fresh frozen plasma transfusion between the subtotal hysterectomy group and the total hysterectomy group. Postoperative test parameters, including postoperative prothrombin time (PT), thrombin time (TT), activated partial thromboplastin time (APTT), hemoglobin (HGB), and hematocrit (HCT), were not significantly different between the two groups. No significant difference was noted in postoperative vesicoureteral injury, pelvic hematoma, infection, and disseminated intravascular coagulation (DIC) incidence, but renal failure incidence was different (P=0.040). Conclusion: The treatment effect of subtotal hysterectomies for the cases without placenta accreta and placenta previa was similar in the two hospitals. There is no statistically significant difference in therapeutic effect between total hysterectomy and subtotal hysterectomy.

Pregnancy complicated with hepatitis B virus infection and preterm birth: a retrospective cohort study.

BACKGROUND: We aimed to investigate whether maternal chronic hepatitis B virus (HBV) infection affects preterm birth (PTB) in pregnant women. METHODS: We retrospectively analyzed HBV-infected and non-infected pregnant women attending antenatal care at Fujian Maternity and Child Health Hospital, Fuzhou, China between January 1, 2016 to December 31, 2018. Participants were divided into HBV infection (n = 1302) and control (n = 12,813) groups. We compared baseline data, pregnancy and perinatal complications, and preterm delivery outcomes between groups. Performed multiple logistics regression analysis to adjust for confounding factors. Finally, we compared early PTB outcome between different HBV DNA level groups. RESULTS: The incidence of preterm birth (gestation less than 37 weeks) was similar between the groups, early preterm birth (gestation less than 34 weeks) were significantly more among the HBV infection group than among the controls (1.6% VS. 0.8%; P = 0.003). After adjusting for confounding factors through logistics regression, HBV infection was found to be an independent early PTB risk factor gestation (adjusted odds ratio 1.770; 95% confidence interval [1.046-2.997]). The incidence of early PTB in < 500 group, 500 ~ 2.0 × 10e5 group and > 2.0 × 10e5 group was not statistically significant (P = 0.417). CONCLUSION: HBV infection is an independent risk factor for early PTB, and the risk did not seem to be influenced by the levels of HBV DNA. Comprehensive programs focusing on pregnant women with HBV infection would reduce the incidence of adverse outcomes.

Prediction of vaginal birth after cesarean delivery in Southeast China: a retrospective cohort study.

BACKGROUND: We aimed to develop and validate a nomogram for effective prediction of vaginal birth after cesarean (VBAC) and guide future clinical application. METHODS: We retrospectively analyzed data from hospitalized pregnant women who underwent trial of labor after cesarean (TOLAC), at the Fujian Provincial Maternity and Children's Hospital, between October 2015 and October 2017. Briefly, we included singleton pregnant women, at a gestational age above 37 weeks who underwent a primary cesarean section, in the study. We then extracted their sociodemographic data and clinical characteristics, and randomly divided the samples into training and validation sets. We employed the least absolute shrinkage and selection operator (LASSO) regression to select variables and construct VBAC success rate in the training set. Thereafter, we validated the nomogram using the concordance index (C-index), decision curve analysis (DCA), and calibration curves. Finally, we adopted the Grobman's model to perform comparisons with published VBAC prediction models. RESULTS: Among the 708 pregnant women included according to inclusion criteria, 586 (82.77%) patients were successfully for VBAC. Multivariate logistic regression models revealed that maternal height (OR, 1.11; 95% CI, 1.04 to 1.19), maternal BMI at delivery (OR, 0.89; 95% CI, 0.79 to 1.00), fundal height (OR, 0.71; 95% CI, 0.58 to 0.88), cervix Bishop score (OR, 3.27; 95% CI, 2.49 to 4.45), maternal age at delivery (OR, 0.90; 95% CI, 0.82 to 0.98), gestational age (OR, 0.33; 95% CI, 0.17 to 0.62) and history of vaginal delivery (OR, 2.92; 95% CI, 1.42 to 6.48) were independently associated with successful VBAC. The constructed predictive model showed better discrimination than that from the Grobman's model in the validation series (c-index 0.906 VS 0.694, respectively). On the other hand, decision curve analysis revealed that the new model had better clinical net benefits than the Grobman's model. CONCLUSIONS: VBAC will aid in reducing the rate of cesarean sections in China. In clinical practice, the TOLAC prediction model will help improve VBAC's success rate, owing to its contribution to reducing secondary cesarean section.

Prepregnancy body mass indexes are associated with perinatal outcomes in females with preeclampsia.

The present study aimed to determine the clinical characteristics and perinatal outcomes of females with severe preeclampsia according to their pre-pregnancy body mass index (BMI). Data from 233 patients with severe preeclampsia were reviewed from the Inpatient Obstetrics Department. The data were divided into 3 groups according to the patients' pre-pregnancy BMI: Normal (BMI of 18-25 kg/m2; n=134); underweight (BMI <18 kg/m2; n=15); and overweight and obese (BMI >25 kg/m2; n=84). The incidence of dyslipidemia, amniotic fluid abnormalities and neonatal hospitalizations in the group of females who were overweight or obese before pregnancy were higher than those in the other groups (all P<0.05). In conclusion, the presence of dyslipidemia, excessive weight and obesity prior to pregnancy in patients with severe preeclampsia was associated with maternal and perinatal outcomes.

Blood Coagulation Indices in Twin Pregnancy Complicated with Preeclampsia.

OBJECTIVE: To determine the regular changes of blood coagulation indices in twin pregnancy complicated with preeclampsia (PE). STUDY DESIGN: Descriptive study. PLACE AND DURATION OF STUDY: Fujian Provincial Maternity and Children Hospital from January 2014 to December 2017. METHODOLOGY: A total of 180 twin pregnancies were enrolled in this study, including 40 diagnosed as PE, 50 as severe PE (SPE), and 90 as normal twin pregnancies. The changes of coagulation parameters of twin pregnant women in different gestational states and periods were retrospectively analysed. RESULTS: During the middle and late pregnancies in all groups, the PT (prothrombin time) decreased, and D-Di (D-dimers) increased gradually compared to early pregnancy (p <0.05). When D-Di increased abnormally, adverse pregnancy outcomes increased. APTT (activated partial thromboplastin time) and TT (thromoplastin time) were shortened first and then significantly prolonged (p <0.05). In the normal twin group, FIB was increased gradually from early pregnancy to midlate pregnancy; in the PE group, FIB was increased and then decreased, especially in the sPE group (p <0.05). There was no significant difference in coagulation function in early pregnancy (p >0.05). FIB in sPE group was lower than that in other two groups in late pregnancy. TT in sPE group was higher than that in other two groups. D-Di and APTT in PE group and sPE group were higher than those in normal group (p <0.05). The TT sensitivity was 68.8% with specificity 72.4%, at cut-off value of 13.48 s (p <0.01). CONCLUSION: The regular changes of blood coagulation indices in twin pregnancy complicated with PE had great predictive and diagnostic value of preeclampsia.

Gestational weight management and pregnancy outcomes among women of advanced maternal age.

In this study, we assessed the effects of pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) on the pregnancy outcomes of women of advanced age using a back-propagation (BP) artificial neural network. We conducted a retrospective analysis on postpartum and hospital delivery data from 1,015 women of advanced maternal age (AMA) hospitalized at the Fujian Provincial Maternity and Children's Hospital from January to June, 2017. Pre-pregnancy overweight was found to increase the incidence of gestational diabetes mellitus (GDM), hypertensive disorders complicating pregnancy (HDCP) and fetal macrosomia. In addition, poor weight gain during pregnancy increased the chances of pre-term births (PTBs). Furthermore, excessive weight gain during pregnancy increased the incidence of macrosomia in women of AMA. On the whole, the findings of this study suggest that controlling the pre-pregnancy BMI and the GWG may reduce the incidence of adverse pregnancy outcomes in women of AMA. The BP neural network is suitable for the study of weight changes in this population.

Platelet count and mean platelet volume predict atypical pre-eclampsia.

OBJECTIVE: We aimed to analyze the role of platelet count (PC), mean platelet volume (MPV), and ratio of PC to MPV (PC/MPV) in predicting and/or diagnosing atypical pre-eclampsia (PE). STUDY DESIGN: We performed a retrospective case-control analysis of these platelet parameters in healthy pregnant women with normal blood pressure (control) and the changes that occurred in patients with atypical PE and PE. MAIN OUTCOME MEASURES: We performed statistical analysis to evaluate the prognostic and predictive significance of PC, MPV, and PC/MPV and the combined effects of these parameters in the parturient population (N = 300) composed of 100 controls, 100 atypical PE cases, and 100 PE cases. RESULTS: The PC, MPV, and PC/MPV in both atypical PE and PE were significantly different to that in the controls. After adjusting for confounding factors using the ordinal logistics regression model, we found that PC/MPV, N% and BMI were independent risk factors for PE and atypical PE(The odds ratio was 0.925, 1.028 and 1.071). The model's C-index is 0.684. CONCLUSION: We found that the PC, MPV, and PC/MPV may be changed in atypical PE patients who did not have significant PE symptoms. Our results indicated that it could be a diagnostic method to predict atypical PE during pregnancy. PC/MPV and the other platelet parameters can play a role in predicting the development of atypical PE, leading to better diagnosis and management of atypical PE.