Journal of Maternal-Fetal & Neonatal Medicine最新文献

{"title":"Effects of transumbilical single-port laparoscopy versus multi-port laparoscopy for adnexal mass during pregnancy: a retrospective cohort study.","authors":"Rong Zhao, Yang Yang, Xianjing Chen, Chaoqin Lin","doi":"10.1080/14767058.2025.2505772","DOIUrl":"10.1080/14767058.2025.2505772","url":null,"abstract":"<p><strong>Objectives: </strong>To compare the effects of transumbilical single-port laparoscopic surgery (TSPLS) and multi-port laparoscopic surgery (MPLS) for adnexal mass during pregnancy.</p><p><strong>Methods: </strong>A retrospective analysis was performed on patients with adnexal mass during pregnancy admitted to our hospital between January 2015 and June 2023. The patients were divided into a TPLS group and a MPLS group according to surgical methods. Demographic characteristics, operative outcomes, self-rating anxiety scale (SAS), self-rating depression scale (SDS) and Childbirth attitudes questionnaire (CAQ) were compared between the two groups.</p><p><strong>Results: </strong>A total of 55 patients were included (TSPLS = 25; and MPLS = 30). The demographic characteristics of the patients between the two groups were not significantly different. The operation time in the TSPLS group was shorter than that in the MPLS group, but operative blood loss, length of hospital stay, and postoperative complications were comparable between the two groups. There were no significant difference observed in the preoperative SAS, SDS or CAS scores between the two groups, however, lower postoperative SAS (TSPLS 42.48 ± 4.57 vs. MPLS 45.90 ± 4.89), SDS (TSPLS 38.93 ± 3.70 vs. MPLS 42.12 ± 4.35) or CAS (TSPLS 34.04 ± 4.64 vs. MPLS 37.67 ± 4.79) scores were observed in the TSPLS group (<i>p</i> < 0.05).</p><p><strong>Conclusions: </strong>Compared with MPLS, TSPLS has shorter surgical time, reduces pregnancy and delivery pressure for pregnant women with adnexal mass.</p>","PeriodicalId":50146,"journal":{"name":"Journal of Maternal-Fetal & Neonatal Medicine","volume":"38 1","pages":"2505772"},"PeriodicalIF":1.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144103007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The early prediction of neonatal necrotizing enterocolitis in high-risk newborns based on two medical center clinical databases.","authors":"Yanling Mou, Jinhao Li, Jianjun Wang, Daiyue Yu, Huirong Yang, Xi Zhang, Rongying Tan, Djibril Adam Mahamat, Kai Wu","doi":"10.1080/14767058.2025.2521798","DOIUrl":"10.1080/14767058.2025.2521798","url":null,"abstract":"<p><p><b>Background</b>: Early identification and timely preventive interventions play an essential role for improving the prognosis of newborns with necrotizing enterocolitis (NEC). Thus, establishing a novel and simple prediction model is of great clinical significance. <b>Methods</b>: The clinical data of 143 NEC neonates in the Zhujiang Hospital of Southern Medical University from October 2010 to October 2022 were collected, whereas 429 non-NEC patients in the same period were allocated to the control group by random sampling. Afterward, all participants were randomly divided into a training group (70%) and a testing group (30%). Then, five machine learning (ML) algorithms and classical logistic regression models were established, combining relevant clinical features and laboratory results. The area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, and specificity of various models were compared to evaluate the performance of each model. Ten-folds cross-validation was used to find the best hyperparameters for each model. Decision curve analysis (DCA) was further used to evaluate the performance of the established models for clinical applications and create a column-line graph, ranking the feature importance in models by SHapely Additive exPlanation (SHAP). The column plots were calibrated using calibration curves. Additionally, the established model was validated in time series analysis and another medical center. <b>Results</b>: Six important features were included for modeling: days of age (odds ratio [OR] = 1.16; 95% confidence interval [CI]: 1.08-1.25; <i>p</i> = 0.001), gestational age (OR = 0.77; 95% CI: 0.62-0.96; <i>p</i> = 0.018), eosinophil count (EOS) (OR = 3.78; 95% CI: 1.74-8.19; <i>p</i> < 0.001), hemoglobin (HB) (OR = 0.98; 95% CI: 0.97-1.00; <i>p</i> = 0.008), platelet distribution width (PDW) (OR = 1.18; 95% CI: 1.05-1.33; <i>p</i> = 0.004), and high-sensitivity C-reactive protein (HSCRP) (OR = 1.03; 95% CI: 1.01-1.06; <i>p</i> = 0.013). While the logistic regression model achieved an AUC of 0.904, accuracy of 0.865, sensitivity of 0.786, F1-score of 0.742, and a Brier score of 0.1009 in the training group, the AUCs for the five ML models ranged from 0.806 to 0.960. Among these models, the LightGBM model performed the best, providing an AUC of 0.960, accuracy of 0.858, sensitivity of 0.970, F1-score of 0.775, and a Brier score of 0.071. <b>Conclusion</b>: The LightGBM ML model can effectively identify neonatal patients at higher risk of NEC based on the day of age, gestational age, EOS, and HB, PDW, and HSCRP levels. Thus, this model is useful for assisting clinical decision-making.</p>","PeriodicalId":50146,"journal":{"name":"Journal of Maternal-Fetal & Neonatal Medicine","volume":"38 1","pages":"2521798"},"PeriodicalIF":1.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144477657","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Novel therapeutic targets uncovered by genome-wide integrative analysis in bronchopulmonary dysplasia.","authors":"Zhenyu Xiong, Qingxiong Zhu, Lei Hang","doi":"10.1080/14767058.2025.2469837","DOIUrl":"10.1080/14767058.2025.2469837","url":null,"abstract":"<p><strong>Background: </strong>Bronchopulmonary dysplasia (BPD) is the most common chronic respiratory disease in extremely premature infants. This study aims to identify gene expression dysregulation and explore various molecular pathways implicated in BPD.</p><p><strong>Methods: </strong>This study integrated BPD genome-wide association study (GWAS), single-cell transcriptomics (scRNA-seq), and Mendelian randomization (MR) analysis to investigate the causal relationship between gene expression and BPD.</p><p><strong>Results: </strong>Cell annotation and ligand-receptor analysis highlighted myofibroblasts as the most interactive cell type. Key genes, including CDH4, ENC1, and PAM, were identified as protective factors against BPD, while GRB10 was associated with increased disease risk. Immune metabolism-related pathways showed elevated activity of PAM, GRB10, and ENC1 in epithelial-mesenchymal transition. The Drug-Gene Interaction Database (DGIdb) predicted three drugs-LM10, navoximod, and ziprasidone-that potentially interact with these key genes.</p><p><strong>Conclusion: </strong>This integrative genome-wide analysis provides valuable insights into the genetic mechanisms underlying BPD. The findings facilitate the identification of novel therapeutic targets and pave the way for personalized treatment strategies for affected neonates.</p>","PeriodicalId":50146,"journal":{"name":"Journal of Maternal-Fetal & Neonatal Medicine","volume":"38 1","pages":"2469837"},"PeriodicalIF":1.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143484564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The effect of patient education on maternal fasting blood glucose in gestational diabetes mellitus in randomized controlled trials: a systematic review and meta-analysis.","authors":"Alissa Paudel, Regis C Pearson, Elizabeth Mirsky, Alexandria Quesenberry Wilson, Alixandra Hunzicker, Kelsey L Grabeel, Justin Thorne, Jill M Maples","doi":"10.1080/14767058.2025.2523582","DOIUrl":"https://doi.org/10.1080/14767058.2025.2523582","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the effect of patient education interventions on fasting blood glucose (FBG) in patients with gestational diabetes mellitus (GDM).</p><p><strong>Methods: </strong>Electronic search of MEDLINE/PubMed, CINAHL (EBSCO), Embase (Elsevier), Cochrane Central Register of Controlled Trials (CENTRAL), and Clinicaltrials.gov was conducted from inception to September 16, 2022. Randomized controlled trials which evaluated the effect of GDM-specific education on biochemical assessment of FBG during pregnancy or within 6 weeks postpartum in patients with GDM were included. Meta-analysis was performed of studies reporting FBG using a fixed effects model to determine mean blood glucose difference and corresponding 95% confidence intervals. Cochrane risk of bias tool was used to assess study quality.</p><p><strong>Results: </strong>Fourteen randomized controlled trials enrolling 1885 patients were included. A total of 8 studies with 893 participants were eligible for inclusion in the meta-analysis. The mean effect size was significant: Cohen's d = -0.53 (95% CI [-0.67, -0.34], z = -7.36; <i>p</i> < 0.001). The overall risk of bias for included studies was low.</p><p><strong>Conclusion: </strong>A GDM-specific education intervention resulted in improved glucose control during pregnancy and up to 6 weeks postpartum. Due to the number of studies a moderator analysis could not be conducted to determine the most effective educational intervention strategies. More studies are needed to determine efficacious interventions that are cost-effective and can be broadly implemented throughout health systems.</p>","PeriodicalId":50146,"journal":{"name":"Journal of Maternal-Fetal & Neonatal Medicine","volume":"38 1","pages":"2523582"},"PeriodicalIF":1.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144602150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of neonatal sepsis in Hakka population: PCT time interval analysis and nomogram model incorporating perinatal factors and disease characteristics.","authors":"Kun Wu, Ao Zhenzhen, Ping Liu, Jia Wang","doi":"10.1080/14767058.2025.2532091","DOIUrl":"https://doi.org/10.1080/14767058.2025.2532091","url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to develop a predictive model for neonatal sepsis by analyzing procalcitonin (PCT) levels measured across different age-specific time intervals in the Hakka population, while integrating maternal perinatal factors and neonatal disease characteristics.</p><p><strong>Methods: </strong>A retrospective analysis was conducted on 13,884 neonates, encompassing both sepsis and non-sepsis cases, to systematically evaluate the predictive capability of PCT across different time intervals, focusing on the first week of life and beyond (up to [7, 8) days). Logistic regression analysis, incorporating categorized PCT levels, maternal perinatal factors, and neonatal disease characteristics, was utilized to develop a nomogram model for predicting sepsis.</p><p><strong>Results: </strong>Elevated PCT levels were significantly associated with an increased risk of neonatal sepsis (<i>OR</i> = 13.59, 95% CI: 9.01-20.50, <i>p</i> < 0.001) during the 2-3 day period. During this period, the area under the curve (AUC) for PCT was 0.853 (95% CI: 0.840-0.866), indicating strong predictive performance. The developed nomogram model achieved an AUC of 0.82 and an accuracy of 0.88 in the training set, effectively distinguishing between high- and low-risk sepsis cases.</p><p><strong>Conclusion: </strong>This study confirms the critical role of PCT in the early diagnosis of neonatal sepsis and proposes a time-sensitive predictive model specifically tailored to the Hakka population, offering clinicians a personalized risk assessment tool. Nonetheless, further external validation is required to fully establish the clinical applicability of this model.</p>","PeriodicalId":50146,"journal":{"name":"Journal of Maternal-Fetal & Neonatal Medicine","volume":"38 1","pages":"2532091"},"PeriodicalIF":1.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144651107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Role of periodontal treatment in pregnancy gingivitis and adverse outcomes: a systematic review and meta-analysis.","authors":"HaiHong Xu, Minqiu Cai, Hongmiao Xu, Xuan-Jiang Shen, Jia Liu","doi":"10.1080/14767058.2024.2416595","DOIUrl":"10.1080/14767058.2024.2416595","url":null,"abstract":"<p><strong>Background: </strong>Pregnancy gingivitis is a common oral health issue that affects both maternal and fetal health. This study aims to evaluate the effectiveness of periodontal treatment in preventing pregnancy gingivitis, preterm birth, and low birth weight through a systematic review and meta-analysis of randomized controlled trials (RCTs).</p><p><strong>Methods: </strong>A systematic review and meta-analysis were conducted following PRISMA guidelines. A comprehensive literature search was performed across CINAHL, Scopus, Cochrane, and PubMed/Medline databases from 2000 to the present. Study selection and data extraction were independently carried out by two reviewers. Statistical analyses, including heterogeneity tests, sensitivity analysis, and publication bias assessment, were conducted using RevMan 5.4 and R software.</p><p><strong>Results: </strong>A total of 13 studies were included. The meta-analysis indicated that periodontal treatment might have a potential effect on preventing pregnancy gingivitis, but this was not statistically significant (OR = 0.85, 95% CI [0.68, 1.06], I² = 51%). Subgroup analysis revealed that periodontal treatment significantly reduced the rates of preterm birth and low birth weight in lower-quality studies, but no significant effects were observed in higher-quality studies. Sensitivity analysis and publication bias tests confirmed the stability and reliability of the results.</p><p><strong>Conclusion: </strong>While lower-quality studies suggest that periodontal treatment may positively impact pregnancy gingivitis, preterm birth, and low birth weight, these effects were not supported by higher-quality evidence. Further well-designed RCTs are needed to confirm these findings and ensure their reliability. Periodontal treatment could potentially be considered as part of prenatal care to improve maternal oral health and pregnancy outcomes.</p>","PeriodicalId":50146,"journal":{"name":"Journal of Maternal-Fetal & Neonatal Medicine","volume":"38 1","pages":"2416595"},"PeriodicalIF":1.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142899700","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Statement of Retraction: Comparison of intravaginal misoprostol and intracervical Foley catheter alone or in combination for termination of second trimester pregnancy.","authors":"","doi":"10.1080/14767058.2025.2535602","DOIUrl":"https://doi.org/10.1080/14767058.2025.2535602","url":null,"abstract":"","PeriodicalId":50146,"journal":{"name":"Journal of Maternal-Fetal & Neonatal Medicine","volume":"38 1","pages":"2535602"},"PeriodicalIF":1.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144692249","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Statement of Retraction: Grey-scale and colour Doppler ultrasound versus magnetic resonance imaging for the prenatal diagnosis of placenta accreta.","authors":"","doi":"10.1080/14767058.2025.2535617","DOIUrl":"https://doi.org/10.1080/14767058.2025.2535617","url":null,"abstract":"","PeriodicalId":50146,"journal":{"name":"Journal of Maternal-Fetal & Neonatal Medicine","volume":"38 1","pages":"2535617"},"PeriodicalIF":1.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144692250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Neonatal survival rate after expectant management of periviable preterm premature rupture of membranes at gestational age 15-23⁺⁶ weeks.","authors":"Phunyaporn Nipastpong, Vorapong Phupong","doi":"10.1080/14767058.2024.2434066","DOIUrl":"https://doi.org/10.1080/14767058.2024.2434066","url":null,"abstract":"<p><strong>Objective: </strong>To assess the neonatal survival rates, maternal complications, neonatal complications, and factors associated with survival rates following periviable premature rupture of membranes (PROM) between 15 and 23⁺⁶ weeks of gestation.</p><p><strong>Materials and methods: </strong>The retrospective study included patients with periviable PROM between 15 and 23⁺⁶ weeks of gestation from January 1, 2008, to December 31, 2022. Multivariate regression analysis was performed to identify factors influencing neonatal survival.</p><p><strong>Results: </strong>A total of 71 cases of periviable PROM between 15 and 23⁺⁶ weeks of gestation were included in the study, and the neonatal survival rate was found to be 26.8%. Maternal complications occurred in 59.2% of cases. Of the 19 surviving newborns, 89.5% experienced neonatal complications. Univariate analysis showed that gestational age at delivery, duration of latency and antenatal steroid administration were the factors significantly associated with increased survival rates after periviable PROM before 24 weeks of gestation.</p><p><strong>Conclusion: </strong>The survival rate of periviable PROM between 15 and 23⁺⁶ weeks of gestation was 26.8% with neonatal complications of 89.5%. This information may be useful for counseling pregnant women experiencing periviable PROM.</p>","PeriodicalId":50146,"journal":{"name":"Journal of Maternal-Fetal & Neonatal Medicine","volume":"38 1","pages":"2434066"},"PeriodicalIF":1.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142830689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The causal relationship between gut microbiota and preterm birth: a two-sample Mendelian randomization study.","authors":"Tao Zhu, Dandan Shen, Xiao Cai, Yuanling Jin, Haixia Tu, Shouxing Wang, Qianglong Pan","doi":"10.1080/14767058.2024.2432528","DOIUrl":"https://doi.org/10.1080/14767058.2024.2432528","url":null,"abstract":"<p><strong>Background: </strong>Preterm birth, a significant global health concern, has been associated with alterations in the gut microbiota. However, the causal nature of this relationship remains uncertain due to the limitations inherent in observational studies.</p><p><strong>Purpose: </strong>To investigate the potential causal relationship between gut microbiota imbalances and preterm birth.</p><p><strong>Methods: </strong>We conducted a two-sample Mendelian randomization (MR) study using genome-wide association study (GWAS) data from the MiBioGen consortium focusing on microbiota and preterm birth. Single nucleotide polymorphisms (SNPs) associated with the microbiota were selected as instrumental variables. The inverse variance weighting (IVW) method was used to estimate causality. We confirmed pleiotropy and identified and excluded outlier SNPs using MR-PRESSO and MR-Egger regression. Cochran's Q test was applied to assess heterogeneity among SNPs, and a leave-one-out analysis was performed to evaluate the influence of individual SNPs on overall estimates.</p><p><strong>Results: </strong>Our findings provide evidence for a causal link between specific components of the gut microbiota and preterm birth, with the identification of relevant metabolites.</p><p><strong>Conclusion: </strong>This study highlights the causal role of gut microbiota imbalances in preterm birth, offering novel insights into the development of preterm birth and potential targets for prevention strategies.</p>","PeriodicalId":50146,"journal":{"name":"Journal of Maternal-Fetal & Neonatal Medicine","volume":"38 1","pages":"2432528"},"PeriodicalIF":1.7,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142899812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}