BMC Pregnancy and Childbirth最新文献

{"title":"The correlation between serum fructose levels and pregnancy outcomes in IVF patients with and without PCOS: a case-control study.","authors":"Bowen Zhang, Yunfei Li, Yuxuan Li, Jiahui Song, Yuanyuan Fang, Zhijing Na, Da Li","doi":"10.1186/s12884-025-07415-4","DOIUrl":"10.1186/s12884-025-07415-4","url":null,"abstract":"<p><strong>Background: </strong>Excessive fructose intake can impact pregnancy health. Additionally, Polycystic ovary syndrome (PCOS) is associated with both elevated fructose levels and adverse pregnancy outcomes. Therefore, it is significant to investigate whether serum fructose levels influence pregnancy outcomes in patients with or without PCOS.</p><p><strong>Methods: </strong>This case-control study included 270 participants (PCOS, n = 135; non-PCOS, n = 135). The serum fructose levels of consecutively treated women undergoing in vitro fertilization - embryo transfer treatment at the Center of reproductive medicine in Shengjing hospital of China Medical University, from June 2020 to June 2021, were measured. Pregnancies were monitored until the ultimate outcome was determined. The antenatal, delivery, and neonatal outcomes were extracted from hospital records.</p><p><strong>Results: </strong>In patients with PCOS, those who experienced miscarriage had significantly higher serum fructose levels (P = 0.011). The incidence of miscarriage increased as the serum fructose quartiles increased in patients with PCOS (P = 0.010). There was a significant correlation between serum fructose levels and miscarriage (r = 0.258, P = 0.002). The results of multivariate logistic regression analysis remain consistent (odd ratio [OR] = 10.138, P = 0.005). Conversely, in women without PCOS, those who prematurely delivered had significantly higher serum fructose levels (P = 0.001). The incidence of preterm delivery increased as the serum fructose quartiles increased in patients without PCOS (P < 0.001). There was a significant correlation between serum fructose levels and preterm delivery (r = 0.311, P < 0.001) in non-PCOS group. The multivariate logistic regression analysis indicated the identical results (OR = 18.359, P = 0.008). The area under the curve for fructose-mediated prediction of miscarriage in PCOS was 0.686, while for prediction of preterm birth in non-PCOS individuals, the area under the curve was 0.731.</p><p><strong>Conclusions: </strong>Serum fructose levels are positively associated with miscarriage risk in patients with PCOS. Within the non-PCOS cohort, fructose levels are linked to preterm birth. Further investigation is warranted to comprehensively elucidate the underlying mechanisms, thus enhancing our profound understanding.</p>","PeriodicalId":9033,"journal":{"name":"BMC Pregnancy and Childbirth","volume":"25 1","pages":"324"},"PeriodicalIF":2.8,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11924593/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143668992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigating the association of albuminuria with the incidence of preeclampsia and its predictive capabilities: a systematic review and meta-analysis.","authors":"Pegah Rashidian, Mohammadamin Parsaei, Sedigheh Hantoushzadeh, Bahram Salmanian","doi":"10.1186/s12884-025-07444-z","DOIUrl":"10.1186/s12884-025-07444-z","url":null,"abstract":"<p><strong>Background: </strong>Preeclampsia (PE) is a severe hypertensive disorder affecting approximately 6.7% of pregnancies worldwide. Identifying reliable biomarkers for early prediction could significantly reduce the incidence of PE and facilitate closer monitoring and timely management. This study aims to investigate the association between albuminuria in early pregnancy and the subsequent development of PE, and to explore its predictive abilities.</p><p><strong>Methods: </strong>A systematic search was conducted across PubMed, Embase, and Web of Science on July 15, 2024, for studies published between January 1, 1990, and June 30, 2024. Quality assessments were performed using the Joanna Briggs Institute Critical Appraisal and Risk of Bias in Non-randomized Studies - of Exposures Checklists. Random-effects models in STATA were used to conduct meta-analyses comparing urine albumin and albumin-to-creatinine ratio levels in patients who later developed PE versus those who did not. The incidence of PE was also compared between patients with and without albuminuria in early pregnancy. The predictive ability of albuminuria for PE was assessed using META-DISC software.</p><p><strong>Results: </strong>A total of 26 studies comprising 7,640 pregnant women were systematically reviewed. Of these, 17 studies met the quality criteria for inclusion in the meta-analyses. Our findings indicate that urine albumin (Hedges's g = 0.48 [95% confidence interval (CI): 0.16-0.80]; p-value < 0.001) and albumin-to-creatinine ratio (Hedges's g = 0.48 [95% CI: 0.16-0.80]; p-value = 0.003) were significantly higher in the early stages of pregnancy in patients who later developed PE compared to those who did not. The incidence of PE was higher in patients with early-diagnosed albuminuria (log odds ratio = 2.56 [95% CI: 1.75-3.38]; p-value < 0.001). The pooled sensitivity and specificity for albuminuria in predicting PE were 56% [95% CI: 48-64%] and 87% [95% CI: 85-89%], respectively.</p><p><strong>Conclusions: </strong>Elevated maternal urine albumin and albumin-to-creatinine ratio in early pregnancy are associated with a higher risk of developing PE. While these biomarkers show promise for early identification of at-risk patients, the relatively low sensitivity suggests that albuminuria alone may not be a robust predictor of PE, which underscores the need for future research in this regard.</p><p><strong>Trial registration: </strong>Review protocol was registered with the International Prospective Register of Systematic Reviews (PROSPERO) under the code CRD42024575772.</p>","PeriodicalId":9033,"journal":{"name":"BMC Pregnancy and Childbirth","volume":"25 1","pages":"322"},"PeriodicalIF":2.8,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11924862/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143668975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: Establishment and validation of a nomogram for predicting preterm birth in intrahepatic cholestasis during pregnancy: a retrospective study.","authors":"Wenchi Xie, Landie Ji, Dan Luo, Lili Ye, Qian Li, Landan Kang, Qingquan He, Jie Mei","doi":"10.1186/s12884-025-07446-x","DOIUrl":"10.1186/s12884-025-07446-x","url":null,"abstract":"","PeriodicalId":9033,"journal":{"name":"BMC Pregnancy and Childbirth","volume":"25 1","pages":"328"},"PeriodicalIF":2.8,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11927258/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143668950","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Conservative treatment of bladder flap hematoma complicated with uterine artery pseudoaneurysm after cesarean section via internal iliac artery embolization: a case report.","authors":"Jiayi Zhang, Guoliang Jiang, Yiting Lu, Chunyu Wang, Zhenguo Qiao, Juanjuan Yang","doi":"10.1186/s12884-025-07466-7","DOIUrl":"10.1186/s12884-025-07466-7","url":null,"abstract":"<p><strong>Background: </strong>Bladder flap hematoma (BFH) is a rare complication associated with cesarean section (CS). Its pathogenesis is linked to insufficient hemostasis and bleeding at the incision site, leading to the formation of a hematoma between the bladder and the lower uterine segment (LUS). To the best of the authors' knowledge, no specific protocols have been formulated to guide the treatment of BFH.</p><p><strong>Case presentation: </strong>A 29-year-old woman underwent an emergency CS due to relative cephalopelvic disproportion. Twenty-two hours after the CS, she developed pale red hematuria accompanied with a significant decrease in hemoglobin. The patient experienced two fainting episodes after standing and engaging in activity, along with vaginal bleeding. A bedside ultrasound revealed a 50 mm fluid-filled sonolucent area between the lower uterine segment (LUS) and bladder. Subsequently, the patient received conservative treatment with internal iliac artery embolization, antibiotics and blood transfusion, to avoid secondary laparotomy. The angiography and computer tomography examinations revealed the existence of uterine artery pseudoaneurysm and a large BFH. Her vital signs remained stable after the intervention and repeat ultrasonography demonstrated a significant reduction in the hematoma size.</p><p><strong>Conclusions: </strong>Selective pelvic artery embolization as a conservative treatment can be a safe and effective option for large BFH, provided the patient remains clinically stable. This interventional therapy presents an innovative, non-surgical approach to a condition that is typically treated surgically and may carry the risk of irreparable complications.</p>","PeriodicalId":9033,"journal":{"name":"BMC Pregnancy and Childbirth","volume":"25 1","pages":"315"},"PeriodicalIF":2.8,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11921553/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143662331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Increased circulating miR-155 identifies a subtype of preeclamptic patients.","authors":"Zhiyin Wang, Mingming Zheng, Honglei Duan, Yuan Wang, Yimin Dai, Huirong Tang, Ya Wang, Dan Liu, Chenrui Cao, Ning Gu, Qiao Weng, Yan Zhou, Guangfeng Zhao, Yali Hu","doi":"10.1186/s12884-025-07424-3","DOIUrl":"10.1186/s12884-025-07424-3","url":null,"abstract":"<p><strong>Introduction: </strong>Preeclampsia is a common and severe pregnancy complication. The syndrome is highly heterogeneous, making accurate classification difficult, which is not conductive to find ways to predict and prevent this syndrome. Recently, we reported that high placental miR-155 defined a new subtype of preeclampsia. Here, we aimed to examine whether high maternal sero-miR-155 could be a marker to identify this subtype.</p><p><strong>Methods: </strong>To explore whether the patients with high sero-miR-155 no matter in first and third trimester, we conducted a case-control and a longitudinal cohort study. We measured the sero-miR-155 levels at first, second and third trimesters in all pregnant women. Then, using the 95th percentile (P95) of sero-miR-155 in controls as the cut-off value, we divided the preeclamptic patients into high sero-miR-155 group (≥ P95) and normal sero-miR-155 group (< P95). We compared the difference of clinical manifestations between two groups and used t-distributed stochastic neighbor embedding (t-SNE) to evaluate whether the patients with high sero-miR-155 could be clustered as a subtype. Finally, we evaluated the predictive value of sero-miR-155 in the subtype.</p><p><strong>Results: </strong>The case-control study included 525 subjects (350 controls and 175 preeclampsia) and the longitudinal cohort study included 411 subjects (274 controls and 137 preeclampsia). Sero-miR-155 was significantly elevated in preeclampsia. Compared with preeclamptic patients with normal sero-miR-155 levels, the cases with high sero-miR-155 had significantly higher blood pressure and other severe preeclampsia-related complications. The incidences of HELLP syndrome [5.2% (5/96) vs. 0.9% (2/216), p < 0.01], visual disturbance [15.6% (15/96) vs. 4.6% (10/216), p < 0.01], hypertensive retinopathy [13.5% (13/96) vs. 3.2% (7/216), p < 0.01], and placenta abruption [7.3% (7/96) vs. 0.9% (2/216), p < 0.01] in patients with high miR-155 level were significantly increased. T-SNE analysis showed the patients with high sero-miR-155 were predominantly clustered on the left of the plot.</p><p><strong>Conclusions: </strong>The patients with high sero-miR-155 exhibited more severe clinical manifestations and sero-miR-155 could be a biomarker to identify a subtype of preeclampsia with high sero-miR-155.</p>","PeriodicalId":9033,"journal":{"name":"BMC Pregnancy and Childbirth","volume":"25 1","pages":"319"},"PeriodicalIF":2.8,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11921501/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143662342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Relationship between food insecurity and the risk of pregnancy-induced hypertension: a prospective cohort study.","authors":"Neda Yaghobieh, Mohammad Javad Tarrahi, Reza Amani","doi":"10.1186/s12884-025-07340-6","DOIUrl":"10.1186/s12884-025-07340-6","url":null,"abstract":"<p><strong>Background: </strong>Pregnancy-induced hypertension (PIH) is a major cause of maternal and fetal mortality. Various risk factors contribute to this condition. This study aimed to investigate the association between food insecurity and the risk of pregnancy-induced hypertension among pregnant women referred to health centers.</p><p><strong>Method: </strong>In this study, a prospective cohort design was employed. A total of 600 pregnant mothers covered by the Isfahan Health Network were randomly included in the study. Demographic questionnaires, DASS-21, HFIAS, and IPAQ were administered through interviews. Blood pressure data after the 20th week of pregnancy, were collected. Mothers were considered hypertensive patients whose blood pressure was above 140 (systolic) or above 90 (diastolic) or both, for the first time after the 20th week of pregnancy after two measurements. Data analysis was performed using chi-square, independent t, and binary logistic regression tests.</p><p><strong>Result: </strong>The incidence of PIH was estimated to be 5.2%. The mean age of pregnant mothers was 30.24 ± 5.84 years, and 43% had university education. Food insecurity showed a significant association with PIH, even after controlling for confounding variables (P < 0.05). Additionally, an increase in pre-pregnancy BMI was associated with increased risk of PIH (OR_A = 1.16, CI_95%: 1.07-1.25). Larger household size increased the likelihood of hypertension by 51%, while having more than two pregnancies reduced the risk by 30%.</p><p><strong>Conclusion: </strong>The Incidence of high blood pressure during pregnancy and its association with food insecurity and pre-pregnancy BMI emphasizes the need for interventions to improve food security in pregnant women and control pre-pregnancy BMI, ultimately preventing pregnancy related complications.</p>","PeriodicalId":9033,"journal":{"name":"BMC Pregnancy and Childbirth","volume":"25 1","pages":"318"},"PeriodicalIF":2.8,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11921571/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143662209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting low birth weight risks in pregnant women in Brazil using machine learning algorithms: data from the Araraquara cohort study.","authors":"Audêncio Victor, Francielly Almeida, Sancho Pedro Xavier, Patrícia H C Rondó","doi":"10.1186/s12884-025-07351-3","DOIUrl":"10.1186/s12884-025-07351-3","url":null,"abstract":"<p><strong>Background: </strong>Low birth weight (LBW) is a critical factor linked to neonatal morbidity and mortality. Early prediction is essential for timely interventions. This study aimed to develop and evaluate predictive models for LBW using machine learning algorithms, including Random Forest, XGBoost, Catboost, and LightGBM.</p><p><strong>Methods: </strong>We analyzed data from 1,579 pregnant women enrolled in the Araraquara Cohort, a population-based longitudinal study. Predictor variables included maternal sociodemographic, clinical, and behavioral factors. Four ML algorithms Random Forest, XGBoost, CatBoost, and LightGBM, were trained using an 80/20 train-test split and 10-fold cross-validation. To address class imbalance, the Synthetic Minority Over-sampling Technique (SMOTE) was applied. Model performance was assessed using metrics such as area under the receiver operating characteristic curve (AUROC), F1-score, and precision-recall. Variable importance was evaluated using Shapley values.</p><p><strong>Results: </strong>XGBoost demonstrated the best performance, achieving an AUROC of 0.94, followed by CatBoost (0.94), Random Forest (0.94), and LightGBM (0.94). Maternal gestational age was the most influential predictor, followed by marital status and prenatal care frequency. Behavioral factors, such as physical activity, also contributed to LBW risk. Shapley analysis provided interpretable insights into variable contributions, supporting the clinical applicability of the models.</p><p><strong>Conclusion: </strong>Machine learning, combined with SMOTE, proved to be an effective approach for predicting LBW. XGBoost stood out as the most accurate model, but Catboost and Random Forest also provided solid results. These models can be applied to identify high-risk pregnancies, improving perinatal outcomes through early interventions.</p>","PeriodicalId":9033,"journal":{"name":"BMC Pregnancy and Childbirth","volume":"25 1","pages":"320"},"PeriodicalIF":2.8,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11921654/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143662347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of a dedicated antenatal specialist service for women with a history of stillbirth: the rainbow clinic.","authors":"Jack Le Vance, Michelle Plant, Samiramis Saba, Alexander E P Heazell, R Katie Morris, Victoria Hodgetts Morton, Leo Gurney","doi":"10.1186/s12884-025-07421-6","DOIUrl":"10.1186/s12884-025-07421-6","url":null,"abstract":"<p><strong>Background: </strong>Stillbirth in a prior pregnancy represents a significant risk factor for a subsequent stillbirth and other adverse pregnancy outcomes. There is a developing body of evidence supporting the implementation of dedicated specialist antenatal service provision for women with a history of stillbirth in future pregnancies. We aimed to assess the impact of our specialist service, the Rainbow Clinic, on maternal-fetal outcomes.</p><p><strong>Methods: </strong>A retrospective case-control study was conducted comparing women with a history of previous stillbirth prior to and following the inception of the Rainbow Clinic at the Birmingham Women's Hospital, United Kingdom. Case records were reviewed from 2017 to August 2024. The Rainbow service was implemented on 9th May 2022; therefore, this became our cut off to define case and control groups. The control group matched the Rainbow Clinic eligibility criteria. Individual maternal and fetal outcome data were collected from case records. A composite adverse perinatal outcome was defined as one of: perinatal mortality; an Apgar score < 7 at five minutes or an umbilical artery pH < 7.05, or both; admission to NICU; intraventricular hemorrhage; hypoxic ischemic encephalopathy; necrotizing enterocolitis; retinopathy of prematurity; respiratory distress syndrome; pneumonia; and neonatal sepsis.</p><p><strong>Results: </strong>Eighty-seven women were seen after establishment of the Rainbow Clinic group compared with 65 women in the pre-Rainbow Clinic control group. 91% of the Rainbow Clinic group were prescribed aspirin compared to 70% within the pre-Rainbow Clinic group (p = 0.001). The rate of composite adverse perinatal outcome was significantly less in the Rainbow versus the pre-Rainbow Clinic group (Odds Ratio (OR), 0.46 [95% Confidence Interval (CI), 0.22-0.98]). Women in the Rainbow Clinic were statistically more likely to have a prelabor cesarean birth (OR 2.44 [95% CI, 1.20-4.94]), however, gestational age at delivery was significantly greater within the Rainbow Clinic group (median 38 weeks 0 days versus 37 weeks 3 days, p = 0.004), including a significant reduction in cases of very and extreme preterm delivery (OR 0.17 [95% CI, 0.03-0.80] and OR 0.05 [95% CI, 0.00-0.93] respectively). 8% of the pre-Rainbow Clinic group had a further stillbirth or second trimester miscarriage compared to 2% within the Rainbow Clinic group (p = 0.07).</p><p><strong>Conclusion: </strong>This study provides data on the beneficial impact of a specialist pregnancy after loss service on clinical outcomes. Continued research, including qualitative analysis of this service is necessitated to determine the efficacy of these specialist clinics.</p>","PeriodicalId":9033,"journal":{"name":"BMC Pregnancy and Childbirth","volume":"25 1","pages":"317"},"PeriodicalIF":2.8,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11921540/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143662337","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association between gestational weight change trajectories and perinatal outcomes in twin pregnancies in China.","authors":"Mengmeng Li, Wubulitalifu Dawuti, Tianchen Wu, Xiaoli Tian, Yali Zhang, Weixian Gao, Tao Huang, Zhiwen Li","doi":"10.1186/s12884-025-07414-5","DOIUrl":"10.1186/s12884-025-07414-5","url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to identify gestational weight change trajectories and examine their association with perinatal outcomes.</p><p><strong>Methods: </strong>Prenatal and delivery records of 3393 twin pregnancies were obtained from the China-US Collaborative Project for Neural Tube Defects Prevention, a large population-based cohort study. Generalized gestational weight gain (GWG) was calculated by dividing the total GWG by the length of gestation in weeks and multiplying by 37 weeks. Latent class growth modeling (LCGM) was used to identify GWG patterns. Multivariable logistic regression and generalized estimating equations (GEE) were used to analyze the associations between GWG trajectories and perinatal outcomes. The included adverse perinatal outcomes were preterm birth, low birth weight (LBW), small for gestational age (SGA), and large for gestational age (LGA).</p><p><strong>Results: </strong>The mean ± SD of GWG for underweight women was 17.87 ± 5.67 kg, 16.76 ± 6.22 kg for normal weight, 14.34 ± 6.60 kg for overweight, and 14.27 ± 4.94 kg for obese. Three gestational weight change trajectory groups were identified: low-increase (32.36%), moderate-increase (56.26%), and high-increase (11.38%). Compared to the moderate-increase group, the high-increase group showed a reduced risk of LBW (aOR 0.68, 95%CI 0.56, 0.83), and SGA (aOR 0.49, 95%CI 0.40, 0.60) but an increased risk of LGA (aOR 2.23, 95%CI 1.48, 3.35). No significant change was observed in the risk of preterm birth in the high-increase group. The low-increase group had a higher risk of preterm birth (aOR 1.66 95%CI 1.42, 1.94), LBW (aOR 2.44 95%CI 2.13,2.80), and SGA (aOR 1.32 95%CI 1.16, 1.51), with no significant difference in the risk of LGA (aOR 1.11 95%CI 0.78,1.58).</p><p><strong>Conclusions: </strong>Distinct patterns of GWG in twin pregnancies are associated with varying risks of adverse perinatal outcomes. These findings highlight the importance of monitoring and managing GWG in twin pregnancies.</p>","PeriodicalId":9033,"journal":{"name":"BMC Pregnancy and Childbirth","volume":"25 1","pages":"312"},"PeriodicalIF":2.8,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11921534/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143662314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association between gestational diabetes mellitus and offspring health: a two-sample mendelian randomization study.","authors":"Mi Yan, Zhengdong Chen, Jia Tang, Xinyu Duan, Wenjie Peng, Rui Liu, Wanwei Li, Zhangxue Hu, Yanfei Liu","doi":"10.1186/s12884-025-07423-4","DOIUrl":"10.1186/s12884-025-07423-4","url":null,"abstract":"<p><strong>Background: </strong>Gestational diabetes mellitus (GDM) constitutes a significant contributor to maternal and fetal morbidity, which is observed to be associated with future risks of offspring health. Nevertheless, it is essential to acknowledge that observational findings may be susceptible to residual confounding and bias.</p><p><strong>Methods: </strong>To investigate the association of GDM with offspring health, a genome-wide genetic association study employing Mendelian Randomization (MR) is conducted between May 31 and November 30, 2023. The inverse-variance-weighted (IVW) is utilized in the primary analysis stage. The study data of the majority patients are European ancestry, which are sourced from the IEU open genome-wide association study project.</p><p><strong>Results: </strong>Genetically predicted GDM is associated with an increased risk of various short- and long-term health problem in offspring. For fetal and neonatal conditions, GDM is linked to an elevated risk of preterm delivery [ odd ratio (OR) = 1.150, false discovery rate (FDR)-adjusted P_IVW = 0.009] and placental disorders (OR = 2.143, FDR-adjusted P_IVW = 0.028). In respiratory diseases, it is associated with a higher likelihood of influenza (OR = 1.175, FDR-adjusted P_IVW = 0.008), bacterial pneumonia (OR = 1.141, FDR-adjusted P_IVW = 0.008), congenital malformations of the respiratory system (OR = 1.673, FDR-adjusted P_IVW = 0.033), influenza with pneumonia (OR = 1.078, FDR-adjusted P_IVW = 0.008), and need for non-invasive ventilation (OR = 1.265, FDR-adjusted P_IVW = 0.028). In terms of neurodevelopmental and psychiatric outcomes, GDM is linked to a higher risk of cerebral palsy (OR = 1.721, FDR-adjusted P_IVW = 0.008). For urinary conditions, GDM increases the risk of acute tubulo-interstitial nephritis (OR = 1.098, FDR-adjusted P_IVW = 0.008). No association is identified between genetically predicted GDM and major digestive diseases, such as gastroesophageal reflux, or cardiovascular conditions in offspring.</p><p><strong>Conclusions: </strong>The findings of this study provide genetic evidence supporting an association between GDM and higher risk of offspring diseases. This supports classification of GDM as risk factors for short- and long-term offspring health.</p>","PeriodicalId":9033,"journal":{"name":"BMC Pregnancy and Childbirth","volume":"25 1","pages":"321"},"PeriodicalIF":2.8,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11924663/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143662294","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}