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.

Predictive value of serum inflammatory markers for histological chorioamnionitis among women with preterm premature rupture of membranes after undergoing cervical cerclage.

PURPOSE: To determine the predictive value of maternal White Blood Cells (WBC), neutrophils, and C-Reactive Protein (CRP) for diagnosing Histological Chorioamnionitis (HCA) among women with Preterm Premature Rupture of Membranes (PPROM) who underwent cervical cerclage. METHODS: A retrospective cross-sectional study was conducted among women with singleton pregnancy and PPROM, who underwent cervical cerclage during 2018-2020. RESULTS: A total of 55 eligible women were included in the final analysis, including 36 (61.02%) cases with HCA and 19 (38.98%) without HCA. Women with HCA had higher WBC count (12.31 ± 2.80) × 109/L and neutrophil count (9.67 ± 2.90)×109/L than those without HCA (10.35 ± 2.53) × 109/L and 7.82 ± 2.82 × 109/L, respectively) (both p < 0.05). The cut-off value of WBC count at 10.15×109/L was found to be the most effective in identifying HCA, with an Area Under Curve (AUC) of 0.707 (95% CI: 0.56-0.86; p = 0.012), sensitivity of 86.11%, specificity of 57.90%, Positive Predictive Value (PPV) of 79.49%, Negative Predictive Value (NPV) of 68.75%, and Youden index of 0.44. The combination of WBC + neutrophil had a slightly higher (AUC = 0.711, 95% CI: 0.57-0.86; p = 0.011), specificity (68.42%), and PPV (81.25%), but lower sensitivity (72.22%), than the WBC count alone. A cut-off value of neutrophil at 7.46 × 109/L was effective in identifying HCA, with an AUC of 0.689 (95% CI: 0.53-0.84; p = 0.022). DISCUSSION: Combination use of WBC+neutrophil was found to be the most accurate predictor of HCA among women with PPROM after surgery of cervical cerclage.

An Underwater Image Enhancement Method for a Preprocessing Framework Based on Generative Adversarial Network.

This paper presents an efficient underwater image enhancement method, named ECO-GAN, to address the challenges of color distortion, low contrast, and motion blur in underwater robot photography. The proposed method is built upon a preprocessing framework using a generative adversarial network. ECO-GAN incorporates a convolutional neural network that specifically targets three underwater issues: motion blur, low brightness, and color deviation. To optimize computation and inference speed, an encoder is employed to extract features, whereas different enhancement tasks are handled by dedicated decoders. Moreover, ECO-GAN employs cross-stage fusion modules between the decoders to strengthen the connection and enhance the quality of output images. The model is trained using supervised learning with paired datasets, enabling blind image enhancement without additional physical knowledge or prior information. Experimental results demonstrate that ECO-GAN effectively achieves denoising, deblurring, and color deviation removal simultaneously. Compared with methods relying on individual modules or simple combinations of multiple modules, our proposed method achieves superior underwater image enhancement and offers the flexibility for expansion into multiple underwater image enhancement functions.

Spontaneous hemoperitoneum during pregnancy: three case reports and literature review.

OBJECTIVES: This case report presented cases with spontaneous hemoperitoneum during pregnancy. CASE REPORT: Case 1 presented with acute abdominal pain with signs of shock. Cases 2 and 3 both presented with stable vital signs and the sudden decline of fetal heart rate. Cesarean section was performed at 27, 36+4, and 34 gestational weeks, respectively. Bleeding sites were founded on the surface of the uterus or the parametrium. The perinatal outcome was stillbirth, live birth, and neonatal severe asphyxia. CONCLUSION: Careful physical examination, strict monitoring of vital signs, and timely surgical intervention are critical for improving the prognosis.

OBJETIVO: Este caso clínico presentó casos con hemoperitoneo espontáneo durante el embarazo. REPORTE DEL CASO: El caso 1 presentó dolor abdominal agudo con signos de shock, los casos 2 y 3 se presentaron ambos con signos vitales estables y la disminución repentina de la frecuencia cardíaca fetal. La cesárea se realizó a las 27, 36 + 4 y 34 semanas de gestación, respectivamente. Los sitios de sangrado se encontraron en la superficie del útero o el parametrio. CONCLUSIÓN: Un control estricto de los signos vitales y una intervención quirúrgica oportuna son fundamentales para mejorar el pronóstico.

General-purpose mid-infrared micro-spectrometer based on hierarchical residual CNN and data augmentation.

Taking advantage of broad response range and snap-shot operation mode, reconstructive spectrometers based on integrated frequency-modulation microstructure and computational techniques attract lots of attention. The key problems in reconstruction are sparse samplings related with the limited detectors and generalization ability due to data-driving principle. Here, we demonstrate abstractly a mid-infrared micro-spectrometer covering 2.5-5 µm, which utilizes a grating-integrated lead selenide detector array for sampling and a hierarchal residual convolutional neural network (HRCNN) for reconstructions. Leveraging data augmentation and the powerful feature extraction ability of HRCNN, a spectral resolution of 15 nm is realized. Over one hundred chemicals, including untrained chemicals species tested with an average reconstruction error of ∼1E-4, exhibit the excellent reliability of the micro-spectrometer. The demonstration of the micro-spectrometer promotes the development of the reconstructed strategy.

Dynamic Change of Novel Systemic Inflammation Markers to Predict Maternal-Neonatal Prognosis After Cervical Cerclage.

Objective: Cervical cerclage is an effective method to prevent preterm birth. However, the clinical indicators that can predict cervical cerclage remain limited. This study aimed to explore whether dynamically inflammatory markers are valuable biomarkers for the prognosis of cervical cerclage. Methods: This study included 328 participants. Inflammatory markers were calculated using maternal peripheral blood before and after the cervical cerclage procedure. The Chi-square test, linear regression, and logistic regression were performed to evaluate the dynamic change of inflammatory markers with the prognosis of cervical cerclage. And the optimal cut-off values of inflammatory markers were calculated. Results: Totally 328 pregnant women were analyzed in the study. 223 (67.99%) participants obtained successful cervical cerclage. This study revealed that the maternal age, the baseline BMI (cm2/kg), the times of gravida, the rate of recurrent abortion, the PPROM, cervical length shorter (<1.5cm), cervical dilation (≥2cm), the bulging membrane, the Pre-SII, the Pre-SIRI, the Post-SII, the Post-SIRI, and the ΔSII were significantly associated with outcomes after cervical cerclage (all P<0.05). Pre-SII, Pre-SIRI, Post-SII, Post-SIRI, and ΔSII levels were mainly related to maternal-neonatal outcomes. Furthermore, the results demonstrated that the ΔSII level had the highest OR (OR=14.560; 95% CI (4.461-47.518)). In addition, we revealed that Post-SII and ΔSII levels had the highest AUC (0.845/0.840) and relatively higher sensitivity/specificity (68.57/92.83% and 71.43/90.58%) and PPV/ NPV (81.82/86.25% and 78.13/87.07%) compared with other indicators. Conclusion: This study suggested that the dynamic change of SII level and SIRI level are important biochemical markers to predict the prognosis of cervical cerclage and maternal-neonatal prognosis, especially the Post-SII and ΔSII levels. They can help to determine candidates for cervical cerclage before surgical procedure and enhance postoperative surveillance.

The Association of Inflammatory Markers with Maternal-Neonatal Outcome After Cervical Cerclage.

Objective: Cervical cerclage is effective in prolonging the number of weeks gestation in patients with cervical insufficiency(CI). However, valuable predictors with successful cervical cerclage remain limited. It aimed to evaluate the value of the systemic immune-inflammation index (SII), and systemic inflammation response index (SIRI) to predict the outcomes of cervical cerclage. Methods: This study analyzed 374 participants. Inflammatory markers were calculated using maternal peripheral blood. The association of inflammatory markers and the outcome of cervical cerclage were analyzed. And the optimal cut-off values of inflammatory markers were calculated. Also, the Chi-square test and logistic and linear regression analyses were performed to evaluate inflammatory markers with the maternal outcome and neonatal outcomes. Results: 374 pregnancies were included in this study. Finally, 268 (71.7%) participants suffered successful cervical cerclage. This study demonstrated that the baseline BMI (cm2/kg), the bulging membrane, cervical dilation (≥2cm), the amniotic sac herniation, the neutrophils counts, the systemic immune-inflammation index (SII), and systemic inflammation response index (SIRI) were significant difference between the successful and unsuccessful groups (all P<0.05). Additionally, maternal blood inflammatory markers, such as WBC, lymphocyte, neutrophils, monocyte, platelet counts, SII, and SIRI, were significantly associated with maternal-neonatal outcomes. Furthermore, the results demonstrated that the SII level had the highest OR (OR=4.626; 95% CI (2.500-8.560)), as well as the following: SIRI level (OR = 3.795; 95% CI (1.989-7.242)), cervical dilation (≥2cm) (OR =3.477; 95% CI (1.458-10.844)), and amniotic sac herniation (OR = 1.796; 95% (0.473-4.975)). Conclusion: This study demonstrated that the baseline SII level and SIRI level are important biochemical markers for predicting the outcome of cervical cerclage and maternal-neonatal outcomes with non-invasive procedures. They can help to provide personalized treatment before surgery and enhance postoperative surveillance.

Comparison of two stitches versus one stitch for emergency cervical cerclage to prevent preterm birth in singleton pregnancies.

OBJECTIVE: To compare the efficacy of two stitches versus one stitch in women with emergency cervical cerclage. METHODS: A retrospective case-control study of 26 women with singleton pregnancies who underwent emergency cervical cerclage before 26 weeks. A comparison was made between patients with two stitches versus one stitch at the time of cervical cerclage placement. The primary outcome was gestational age (GA) at delivery and preterm birth (PTB) before 37, 34, 32, 28, and 24 weeks. RESULTS: Average GA at delivery in the two-stitches group was significantly greater than in the one-stitch group (32.71 ± 5.54 weeks vs 27.99 ± 4.70 weeks, P = 0.028). There were significant decreases in the incidence of spontaneous PTB at <34 weeks and less than 32 weeks in the two-stitches group (P = 0.034; P = 0.013, respectively). The neonatal intensive care unit (NICU) admissions rate and length of stay in the NICU in the two-stitches group were significantly reduced (P = 0.035 and P = 0.018, respectively). However, there was no significant difference in neonatal mortality between the two groups. CONCLUSION: Compared with emergency cervical cerclage placement with one stitch, the procedure with two stitches can prolong the pregnancy and improve the neonatal prognosis more effectively.

Predictive value of serum inflammatory markers for histological chorioamnionitis among women with preterm premature rupture of membranes after undergoing cervical cerclage

ABSTRACT Purpose: To determine the predictive value of maternal White Blood Cells (WBC), neutrophils, and C-Reactive Protein (CRP) for diagnosing Histological Chorioamnionitis (HCA) among women with Preterm Premature Rupture of Membranes (PPROM) who underwent cervical cerclage. Methods: A retrospective cross-sectional study was conducted among women with singleton pregnancy and PPROM, who underwent cervical cerclage during 2018-2020. Results: A total of 55 eligible women were included in the final analysis, including 36 (61.02%) cases with HCA and 19 (38.98%) without HCA. Women with HCA had higher WBC count (12.31 ± 2.80) × 109/L and neutrophil count (9.67 ± 2.90)×109/L than those without HCA (10.35 ± 2.53) × 109/L and 7.82 ± 2.82 × 109/L, respectively) (both p < 0.05). The cut-off value of WBC count at 10.15×109/L was found to be the most effective in identifying HCA, with an Area Under Curve (AUC) of 0.707 (95% CI: 0.56-0.86; p = 0.012), sensitivity of 86.11%, specificity of 57.90%, Positive Predictive Value (PPV) of 79.49%, Negative Predictive Value (NPV) of 68.75%, and Youden index of 0.44. The combination of WBC + neutrophil had a slightly higher (AUC = 0.711, 95% CI: 0.57-0.86; p = 0.011), specificity (68.42%), and PPV (81.25%), but lower sensitivity (72.22%), than the WBC count alone. A cut-off value of neutrophil at 7.46 × 109/L was effective in identifying HCA, with an AUC of 0.689 (95% CI: 0.53-0.84; p = 0.022). Discussion: Combination use of WBC+neutrophil was found to be the most accurate predictor of HCA among women with PPROM after surgery of cervical cerclage.

Prepregnancy body mass index and gestational weight gain are associated with maternal and infant adverse outcomes in Chinese women with gestational diabetes.

The gestational weight gain (GWG) range of Chinese women with gestational diabetes mellitus (GDM) remains unclear. Our objective was to identify the ranges of GWG in Chinese women with GDM and to investigate the associations between prepregnancy body mass index (BMI), GWG and maternal-infant adverse outcomes. Cases of GDM women who delivered singletons from 2013 to 2018 in a public hospital were collected. Logistic regression analysis was used to assess the joint effects of prepregnancy BMI and GWG on maternal-infant adverse outcomes. Ultimately, 14,578 women were collected. The ranges of GWG in Chinese women with GDM were different from the National Academy of Medicine's (NAM) recommendation. The ranges of GWG of Chinese women with GDM in the underweight, normal weight, overweight and obese groups were 5.95-21.95 kg, 4.23-21.83 kg, 0.88-21.12 kg and - 1.76 to 19.95 kg, respectively. The risks of large for gestational age (LGA), macrosomia and caesarean delivery were significantly increased with the increasing prepregnancy BMI. Furthermore, the risks of LGA, macrosomia and caesarean delivery were significantly higher in the normal weight group with a GWG higher than the NAM recommendation. Similarly, in the overweight group with a GWG higher than the NAM recommendation, the risks of LGA were significantly higher, while the risks of macrosomia were significantly lower. Overall, we determined the range of GWG in different prepregnancy BMI groups. And GDM women with high prepregnancy BMI and excessive GWG were associated with the higher risks of maternal-infants adverse outcomes in China.

Predictors of cerclage failure in singleton pregnancies with a history of preterm birth and a sonographic short cervix.

OBJECTIVE: To identify predictors of ultrasound-indicated cerclage failure in singleton pregnancies for preventing extremely preterm birth. METHODS: A retrospective cohort study included 96 singleton pregnancies with ultrasound-indicated McDonald cerclage in women with previous preterm birth (PTB) and cervical shortening. Descriptive statistics were calculated at baseline and logistic regression analyses were performed to identify the factors associated with cerclage failure. RESULTS: In all, 28 (29%) of the women had a preterm delivery at before 28 weeks. Multivariate analysis identified cervical dilatation, non-cephalic presentation, and platelet-lymphocyte ratio (PLR) as independent predictors of cerclage failure (odds ratio [OR] 3.12, 95% CI [confidence interval] 1.01-9.66; OR 5.81, 95% CI 1.04-32.53; OR 1.02, 95% CI 1.01-1.03, respectively). The efficacy of these predictors was evaluated using a receiver operating characteristics curve. The area under the curve was 0.87 (95% CI 0.78-0.96, P < 0.001) with a sensitivity of 78.6% and specificity of 88.2%. CONCLUSION: Our findings indicated that cervical dilatation, fetal presentation, and PLR were valuable predictors of cerclage failure in singleton pregnancies with a history of PTB and a sonographic short cervix. The results can be potentially used to assess the prognosis of patients after cerclage and alert clinicians to consider enhanced surveillance and administration of individuals at an increased risk.

A Marine Organism Detection Framework Based on the Joint Optimization of Image Enhancement and Object Detection.

Underwater vision-based detection plays an increasingly important role in underwater security, ocean exploration and other fields. Due to the absorption and scattering effects of water on light, as well as the movement of the carrier, underwater images generally have problems such as noise pollution, color cast and motion blur, which seriously affect the performance of underwater vision-based detection. To address these problems, this study proposes an end-to-end marine organism detection framework that can jointly optimize the image enhancement and object detection. The framework uses a two-stage detection network with dynamic intersection over union (IoU) threshold as the backbone and adds an underwater image enhancement module (UIEM) composed of denoising, color correction and deblurring sub-modules to greatly improve the framework's ability to deal with severely degraded underwater images. Meanwhile, a self-built dataset is introduced to pre-train the UIEM, so that the training of the entire framework can be performed end-to-end. The experimental results show that compared with the existing end-to-end models applied to marine organism detection, the detection precision of the proposed framework can improve by at least 6%, and the detection speed has not been significantly reduced, so that it can complete the high-precision real-time detection of marine organisms.

Development and external validation of a nomogram for predicting preterm birth at < 32 weeks in twin pregnancy.

The purpose of this study was to develop a dynamic model to predict the risk of spontaneous preterm birth at < 32 weeks in twin pregnancy. A retrospective clinical study of consecutively asymptomatic women with twin pregnancies from January 2017 to December 2019 in two tertiary medical centres was performed. Data from one centre were used to construct the model, and data from the other were used to evaluate the model. Data on maternal demographic characteristics, transvaginal cervical length and funnelling during 20-24 weeks were extracted. The prediction model was constructed with independent variables determined by multivariate logistic regression analyses. After applying specified exclusion criteria, an algorithm with maternal and biophysical factors was developed based on 88 twin pregnancies with a preterm birth < 32 weeks and 639 twin pregnancies with a delivery ≥ 32 weeks. It was then evaluated among 34 pregnancies with a preterm birth < 32 weeks and 252 pregnancies with a delivery ≥ 32 weeks in a second tertiary centre without specific training. The model reached a sensitivity of 80.00%, specificity of 88.17%, positive predictive value of 50.33% and negative predictive value of 96.71%; ROC characteristics proved that the model was superior to any single parameter with an AUC of 0.848 (all P < 0.005). We developed and validated a dynamic nomogram model to predict the individual probability of early preterm birth to better represent the complex aetiology of twin pregnancies and hopefully improve the prediction and indication of interventions.

Mitochondrial DNA Copy Number in Human Blastocyst: A Novel Biomarker for the Prediction of Implantation Potential.

The relationship between mitochondrial DNA (mtDNA) copy number and the outcome of embryo transfer is under debate. Our aim was to explore the relationship between mtDNA copy number in human blastocysts and embryonic development to determine whether mtDNA represents a novel biomarker for the prediction of implantation potential. A total of 246 blastocysts were analyzed by next-generation sequencing. There was no correlation between mtDNA copy number and maternal age in all blastocyst groups and euploid blastocyst groups. Additionally, the mtDNA copy number was not significantly higher in aneuploid blastocysts. Subsequently, no relationship was observed between mtDNA copy number and blastocyst quality. The assessment of clinical pregnancy outcome after the transfer of euploid blastocysts to the uterus indicated that the mtDNA copy number was significantly lower in the clinical pregnancy group than in those who failed implantation. The cut-off value of mtDNA copy number was 320.5, which was a highly predictive value. Blastocysts with an increased mtDNA copy number had lower implantation potential, and mtDNA copy number was largely equal in terms of maternal age, chromosome ploidy, and quality of blastocysts.

Physical examination-indicated cerclage in twin pregnancy: a retrospective cohort study.

PURPOSE: This study aimed to evaluate the efficacy of physical examination-indicated cerclage in twin pregnancies and compare it with those that received conservative management. METHODS: We used a retrospective cohort study design of asymptomatic twin pregnancies identified with physical examination indications at 14-26 weeks from 2015 through 2019 at Fujian Maternity and Child Health Hospital. The primary outcomes were gestational age (GA) at delivery and the incidence of spontaneous preterm birth (SPTB) at < 34 weeks, < 32 weeks, < 28 weeks, and < 24 weeks. The main secondary outcomes were latency period from diagnosis to delivery, composite neonatal adverse outcome and neonatal survival at discharge. RESULTS: Thirty-one women with twin pregnancies were managed with physical examination-indicated cerclage, and another 31 received expectant management. The demographic characteristics of the two groups were not significantly different. GA at delivery was significantly later in the cerclage group than in the controls: 32.53 ± 4.78 vs. 27.53 ± 4.15 weeks, with a mean difference of 5.00 weeks [95% confidence interval (CI), 2.73-7.28]. There were significant decreases in the incidence of spontaneous preterm birth (SPTB) at < 34 weeks, < 32 weeks, < 28 weeks, and < 24 weeks in the cerclage group. The interval from diagnosis to delivery was increased with cerclage by a mean difference of 4.37 weeks (95% CI, 1.96-7.06). Regarding neonatal outcome, the perinatal mortality rate in the cerclage group was significantly reduced compared to that in the control group [8/62 (12.9%) vs. 26/62 (41.9%); P < 0001]. Likewise, the neonatal intensive care unit (NICU) admissions, length of stay in the NICU, and composite adverse neonatal outcome in the cerclage group were significantly reduced. CONCLUSION: Physical examination-indicated cerclage was associated with significantly later GA at delivery, longer latency period from diagnosis to delivery, decreased incidence of SPTB at any given GA, and improved perinatal outcome compared with the corresponding measures in controls treated conservatively.

Two-stage nomogram models in mid-gestation for predicting the risk of spontaneous preterm birth in twin pregnancy.

PURPOSE: This study aimed to develop two-stage nomogram models to predict individual risk of preterm birth at < 34 weeks of gestation in twin pregnancies by incorporating clinical characteristics at mid-gestation. METHODS: We used a case-control study design of women with twin pregnancies followed up in a tertiary medical centre from January 2018 to March 2019. Maternal demographic characteristics and transvaginal cervical length data were extracted. The nomogram models were constructed with independent variables determined by multivariate logistic regression analyses. The risk score was calculated based on the nomogram models. RESULTS: In total, 65 twin preterm birth cases (< 34 weeks) and 244 controls met the inclusion criteria. Based on univariate and multivariate logistic regression analyses, we built two-stage nomogram prediction models with satisfactory discrimination and calibration when applied to the validation sets (first-stage [22-24 weeks] prediction model, C-index: 0.805 and 0.870, respectively; second-stage [26-28 weeks] prediction model, C-index: 0.847 and 0.908, respectively). Restricted cubic splines graphically showed the risk of preterm birth among individuals with increased risk scores. Moreover, the decision curve analysis indicated that both prediction models show positive clinical benefit. CONCLUSION: We developed and validated two-stage nomogram models at mid-gestation to predict the individual probability of preterm birth at < 34 weeks in twin pregnancy.

Association between circulating concentrations of vitamin D and risk of antenatal, postnatal depression: a meta-analysis

ABSTRACT Background: Previous studies showed consistent results for associations between circulating concentrations of vitamin D and risk of antenatal, postnatal depression. Methods: Articles published in English before November 2020 were searched in databases as follows: PubMed, EMBASE, Web of Science, Medline, Google Scholar and Cochrane. These articles explored associations between circulating concentrations of vitamin D and risk of antenatal, postnatal depression.The present meta-analysis was conducted using STATA 12.0 software. Odds ratios (ORs) and 95% confidence intervals (CIs) extracted from included studies were computed using a random effects model or a fixed effects model according to heterogeneities between included studies. Q test and I2 were used to explore heterogeneities between included studies. Results: 7 cohort studies (including 1567 depression cases and 5254 controls) and 3 case-control studies (including 995 depression cases and 1265 controls) were included in the present study. The study showed that low circulating levels of 25-hydroxy (OH) vitamin D is significantly associated with a higher risk of antenatal and postnatal depression (OR = 1.02, 95% CI 1.01 to 1.04, I2 = 90.7%, p < 0.001). Conclusion: Our results have shown that the low level of vitamin D may be an adverse factor of antenatal and postnatal depression.

Association of the vaginal microbiota with pregnancy outcomes in Chinese women after cervical cerclage.

RESEARCH QUESTION: The study aimed to investigate the relationship between risk factors associated with vaginal microbiota and outcomes of cervical cerclage. DESIGN: A retrospective cohort study of singleton pregnancies with cervical cerclage was conducted. Before cerclage, participants underwent a vaginal microbiota assay, including morphological examination and functional vaginal microecological analysis using a vaginitis multi-test kit. The chi-squared test and logistic and linear regression analyses were performed to evaluate the associations of various risk factors with maternal and neonatal outcomes. RESULTS: Eighty-five participants were included. The mean interval between cerclage and delivery was 69.4 ± 36.7 days, and 12 (14.1%) of newborns died. A higher grade of vaginal cleanliness, a higher pH, a lower abundance of Lactobacillus spp., a higher sialidase-positive percentage, a higher positive percentage of clue cells, a higher lactobacillary grade, a higher Nugent score and a higher rate of microecological dysbiosis were significantly associated with a poor neonatal outcome and shorter cerclage to delivery intervals (P < 0.001-0.041). Furthermore, sialidase positivity was associated with the highest risk of cervical cerclage failure (odds ratio [OR] 10.469; 95% confidence interval [CI] 1.096-36.087), followed by the presence of bulging membranes (OR 6.400; 95% CI 0.428-15.641) and vaginal microbiota dysbiosis (OR 6.038; 95% CI 0.173-17.072). CONCLUSIONS: An absence of Lactobacillus spp. and some functional factors of vaginal microbiota are potential risk factors that predict subsequent cerclage failure. These findings indicate the potential clinical utility of these factors to predict cervical cerclage failure for managing patient expectations and providing improved postoperative surveillance.

Characteristics and surgical invervention of ovarian torsion in pregnant compared with nonpregnant women.

The aim of our study was to compare the clinical and surgical characteristics of pregnant and nonpregnant women with surgically verified ovarian torsion, as well as the differences among 3 trimesters during pregnancy.We conducted a retrospective study of patients diagnosed with surgically proven ovarian torsion in our hospital from January 2012 to June 2018. The clinical characteristics, surgical procedure, pathologic outcomes, and trimesters of pregnancy were analyzed.Thirty-three pregnant and 72 nonpregnant patients diagnosed with surgically proven ovarian torsion were assessed during the study period. The most common presenting symptom in both groups was abdominal pain (90.2% and 99.0%, respectively). The median time from admission to surgery was shorter in pregnant patients than nonpregnant patients (5.3 compared with 47.7 hours, P < .001). Pregnant patients had a higher number of twists than nonpregnant patients (median of 2 compared with 1, P < .01). Benign cyst was the most common cyst causing ovarian torsion in both groups, and luteum cyst was more common in the pregnant group. The mean size of ovarian cyst in pregnant patients was much smaller in the third trimester than the first and the second trimesters (6.6 ±â€Š2.0, 8.4 ±â€Š2.1and 8.1 ±â€Š1.5 cm, respectively; P = .097). Cystectomy performed in the third trimester was more frequent compared with the other 2 trimesters (77.8%, 26.7%, and 22.2%, respectively; P = .021).Abdominal pain is the most common feature of ovarian torsion. Clinical presentation of ovarian torsion is relatively similar between pregnant and nonpregnant women, and among different trimesters. The tumor size was smaller in the third trimester of pregnancy than the other 2 trimesters of pregnancy. Cystectomy performed in pregnant patients is more during the third trimester compared with the other 2 trimesters.

The outcome of two pregnancies in a patient with Gitelman syndrome: case report and review of the literature.

We report a case of a 30-year-old woman who was first found to have a persistently low serum potassium level at 26 years of age during her first pregnancy. Genetic test of SLC12A3 confirmed Gitelman syndrome. The patient remained asymptomatic and had two deliveries following spontaneous labor. The first neonate died of heart failure due to cardiac abnormalities. The obstetric and neonatal outcome of the second pregnancy was good.