Maternal-fetal medicine (Wolters Kluwer Health, Inc.)最新文献

{"title":"Fetal Growth Restriction: Mechanisms, Epidemiology, and Management","authors":"H. D. Kamphof, Selina Posthuma, S. Gordijn, W. Ganzevoort","doi":"10.1097/FM9.0000000000000161","DOIUrl":"https://doi.org/10.1097/FM9.0000000000000161","url":null,"abstract":"Abstract Fetal growth restriction (FGR) is the condition in which a fetus does not reach its intrinsic growth potential and in which the short-term and long-term risks of severe complications are increased. FGR is a frequent complication of pregnancy with a complex etiology and limited management options, other than timely delivery. The most common pathophysiological mechanism is placental insufficiency, due to many underlying causes such as maternal vascular malperfusion, fetal vascular malperfusion and villitis. Identifying truly growth restricted fetuses remains challenging. To date, FGR is often defined by a cut-off of the estimated fetal weight below a certain percentile on a population-based standard. However, small fetal size as a single marker does not discriminate adequately between fetuses or newborns that are constitutionally small but healthy and fetuses or newborns that are growth restricted and thus at risk for adverse outcomes. In 2016, the consensus definition of FGR was internationally accepted to better pinpoint the FGR population. In this review we will discuss the contemporary diagnosis and management issues. Different diagnostic markers are considered, like Doppler measurements, estimated fetal growth, interval growth, fetal movements, biomarkers, and placental markers.","PeriodicalId":74121,"journal":{"name":"Maternal-fetal medicine (Wolters Kluwer Health, Inc.)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48402918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Summary of Chinese Expert Consensus on Fetal Growth Restriction (An Update on the 2019 Version)","authors":"Luming Sun, Yali Hu, H. Qi","doi":"10.1097/FM9.0000000000000158","DOIUrl":"https://doi.org/10.1097/FM9.0000000000000158","url":null,"abstract":"Abstract Fetal growth restriction (FGR) is a common complication of pregnancy associated with higher rates of perinatal mortality and morbidity, as well as a variety of long-term adverse outcomes. To standardize the clinical practice for the management of FGR in China, Fetal Medicine Subgroup, Chinese Society of Perinatal Medicine, Chinese Medical Association and Maternal-Fetal Medicine Committee, Chinese Society of Obstetrics and Gynecology,Chinese Medical Association organized an expert committee to provide official consensus-based recommendations on FGR. We evaluated the evidence provided by relevant high-quality literature, performed a three-round Delphi study and organized face-to-face meetings with experts from multidisciplinary backgrounds. The consensus includes the definition, prenatal screening, prevention, diagnosis, monitoring and management of FGR.","PeriodicalId":74121,"journal":{"name":"Maternal-fetal medicine (Wolters Kluwer Health, Inc.)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43108865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evidence-Based Screening, Diagnosis and Management of Fetal Growth Restriction: Challenges and Confusions","authors":"Luming Sun, D. Oepkes","doi":"10.1097/fm9.0000000000000162","DOIUrl":"https://doi.org/10.1097/fm9.0000000000000162","url":null,"abstract":"","PeriodicalId":74121,"journal":{"name":"Maternal-fetal medicine (Wolters Kluwer Health, Inc.)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44232108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Temporal Trends of Maternal Mortality Due to Obstetric Hemorrhage in Chinese Mainland: Evidence from the Population-Based Surveillance Data Between 2000 and 2019","authors":"Yi Mu, Jun Zhu, Yan-ping Wang, Jiani Zhang, Ming-rong Li, Peiran Chen, Yanxia Xie, Juan Liang, Xiaodong Wang","doi":"10.1097/FM9.0000000000000152","DOIUrl":"https://doi.org/10.1097/FM9.0000000000000152","url":null,"abstract":"Abstract Objective: To analyze the temporal trends of maternal mortality ratio (MMR) due to obstetric hemorrhage and its specific causes in Chinese mainland from 2000 to 2019, to identify whether the rate of change has accelerated or slowed down during this period, and to find the prior cause of obstetric hemorrhage that needs to be intervened in the future. Methods: Individual information on maternal deaths and total number of live births from 336 surveillance sites across 31 provinces in Chinese mainland was collected from the National Maternal and Child Health Surveillance System between 2000 and 2019. Maternal death was defined according to the World Health Organization's criterion. The final underlying cause of death was confirmed by the national review and was coded according to International Classification of Diseases -10. Linear trends for changes in characteristics of maternal deaths were assessed using linear or logistic models with the year treated as a continuous variable. The MMR and 95% confidence intervals (CI) for regions or causes were estimated by Poisson's distribution. Joinpoint regression was used to assess the accurate temporal patterns. Results: The national MMR due to obstetric hemorrhage was 18.4 per 100,000 live births (95% CI: 15.0–22.2) in 2000. It peaked in 2001 (22.1 per 100,000 live births, 95% CI: 18.3–26.4) and was lowest in 2019 (1.6 per 100,000 live births, 95% CI: 1.0–2.3). For specific regions, the MMR due to obstetric hemorrhage in rural areas and western regions both experienced a slight rise, followed by a rapid decline, and then a slow decline. For specific causes, no change point was found in joinpoint analysis of the national MMR caused by placenta previa, postpartum uterine atony, and retained placenta (the annual percent change was −12.0%, −10.5%, and −21.0%, respectively). The MMR caused by postpartum hemorrhages (PPH) significantly declined by 8.0% (95% CI: 1.9–13.6) per year from 2000 to 2007. The annual percent change of MMR caused by PPH accelerated further to −25.0% between 2007 and 2011, and then decreased to −7.8% between 2011 and 2019. The proportion of maternal deaths due to antepartum hemorrhages increased from 7.6% (8/105) in 2000 to 14.3% (4/28) in 2019. The changes in the proportion of causes were different for maternal deaths due to PPH. The proportion of postpartum uterine atony increased from 39.0% (41/105) in 2000 to 60.7% (17/28) in 2019, and the proportion of uterine rupture also increased from 12.3% (13/105) in 2000 to 14.3% (4/28) in 2019. However, the proportion of retained placenta decreased from 37.1% (39/105) in 2000 to 7.1% (2/28) in 2019. Conclusion: Over the last 20  years, the intervention practice in China has proved that targeted interventions are beneficial in reducing the MMR due to obstetric hemorrhage. However, the MMR has reached a plateau and is likely to increase for some specific causes such as uterine rupture. China needs to develop more effective interventions ","PeriodicalId":74121,"journal":{"name":"Maternal-fetal medicine (Wolters Kluwer Health, Inc.)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47144867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Interobserver Agreement and Reliability of Intrapartum Nonreassuring Cardiotocography and Prediction of Neonatal Acidemia","authors":"Zhu-yu Li, Yan Wang, Jian Cai, Peizhen Zhao, Hanqing Chen, Haiyan Liu, L. Shen, Lian Chen, Shufang Li, Yangyu Zhao, Zilian Wang","doi":"10.1097/FM9.0000000000000146","DOIUrl":"https://doi.org/10.1097/FM9.0000000000000146","url":null,"abstract":"Abstract Objective: To evaluate the agreement and reliability of intrapartum nonreasurring cardiotocography (CTG) interpretation and prediction of neonatal acidemia by obstetricians working in different centers. Methods: A retrospective cohort study involving two tertiary hospitals (The First Affiliated Hospital of Sun Yat-sen University and Perking University Third Hospital) was conducted between 30th September 2018 and 1st April 2019. Six obstetricians from two hospitals with three levels of experience (junior, medium, and senior) reviewed 100 nonreassuring fetal heart rate (FHR) tracings from 1 hour before the onset of abnormalities until delivery. Each reviewer determined the FHR pattern, the baseline, variability, and presence of acceleration, deceleration, sinusoidal pattern, and predicted whether neonatal acidemia and abnormal umbilical arterial pH < 7.1 would occur. Inter-observer agreement was assessed using the proportions of agreement (Pa) and the proportion of specific agreement (Pa for each category). Reliability was evaluated with the kappa statistic (k-Light's kappa for n raters) and Gwet's AC1 statistic. Results: Good inter-observer agreement was found in evaluation of most variables (Pa > 0.5), with the exception of early deceleration (Pa = 0.39, 95% confidence interval (CI): 0.36,0.43). Reliability was also good among most variables (AC1 > 0.40), except for acceleration, early deceleration, and prediction of neonatal acidemia (AC1 = 0.17, 0.10, and 0.25, respectively). There were no statistically significant differences among the three groups, except in the identification of accelerations (Pa = 0.89, 95% CI: 0.83,0.95; Pa = 0.50, 95% CI: 0.41,0.60, and Pa = 0.35, 95% CI: 0.25,0.43 in junior, medium and senior groups, respectively) and the prediction of neonatal acidemia (Pa = 0.52, 0.52, and 0.62 in junior, medium and senior groups, respectively), where agreement was highest and lowest in the junior-level group, respectively. The accuracy and sensitivity of the prediction for umbilical artery pH < 7.1 were similar among the three groups, but the specificity was higher in the senior groups (93.68% vs. 92.53% vs. 98.85% in junior, medium and senior groups, P = 0.015). Conclusion: Although we found a good inter-observer agreement in the evaluation of the most basic CTG features and FHR category statistically, it was insufficient to meet the clinical requirements for “no objection” interpretation for FHR tracings. Further specialized training is needed for standardized interpretation of intrapartum FHR tracings.","PeriodicalId":74121,"journal":{"name":"Maternal-fetal medicine (Wolters Kluwer Health, Inc.)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49577161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CTGNet: Automatic Analysis of Fetal Heart Rate from Cardiotocograph Using Artificial Intelligence","authors":"Mei Zhong, Hao Yi, Fan Lai, Mujun Liu, Rongdan Zeng, Xue Kang, Yahui Xiao, J. Rong, Huijin Wang, Jieyun Bai, Yaosheng Lu","doi":"10.1097/FM9.0000000000000147","DOIUrl":"https://doi.org/10.1097/FM9.0000000000000147","url":null,"abstract":"Abstract Objective: This study investigates the efficacy of analyzing fetal heart rate (FHR) signals based on Artificial Intelligence to obtain a baseline calculation and identify accelerations/decelerations in the FHR through electronic fetal monitoring during labor. Methods: A total of 43,888 cardiotocograph(CTG) records of female patients in labor from January 2012 to December 2020 were collected from the NanFang Hospital of Southern Medical University. After filtering the data, 2341 FHR records were used for the study. The ObVue fetal monitoring system, manufactured by Lian-Med Technology Co. Ltd., was used to monitor the FHR signals for these pregnant women from the beginning of the first stage of labor to the end of delivery. Two obstetric experts together annotated the FHR signals in the system to determine the baseline as well as accelerations/decelerations of the FHR. Our cardiotocograph network (CTGNet) as well as traditional methods were then used to automatically analyze the baseline and acceleration/deceleration of the FHR signals. The results of calculations were compared with the annotations provided by the obstetric experts, and ten-fold cross-validation was applied to evaluate them. The root-mean-square difference (RMSD) between the baselines, acceleration F-measure (Acc.F-measure), deceleration F-measure (Dec.F-measure), and the morphological analysis discordance index (MADI) were used as evaluation metrics. The data were analyzed by using a paired t-test. Results: The proposed CTGNet was superior to the best traditional method, proposed by Mantel, in terms of the RMSD.BL (1.7935 ± 0.8099 vs. 2.0293 ± 0.9267, t = −3.55 , P = 0.004), Acc.F-measure (86.8562 ± 10.9422 vs. 72.2367 ± 14.2096, t = 12.43, P <0.001), Dec.F-measure (72.1038 ± 33.2592 vs. 58.5040 ± 38.0276, t = 4.10, P <0.001), SI (34.8277±20.9595 vs. 54.8049 ± 25.0265, t = −9.39, P <0.001), and MADI (3.1741 ± 1.9901 vs. 3.7289 ± 2.7253, t = −2.74, P = 0.012). The proposed CTGNet thus had significant advantages over the best traditional method on all evaluation metrics. Conclusion: The proposed Artificial Intelligence-based method CTGNet delivers good performance in terms of the automatic analysis of FHR based on cardiotocograph data. It promises to be a key component of smart obstetrics systems of the future.","PeriodicalId":74121,"journal":{"name":"Maternal-fetal medicine (Wolters Kluwer Health, Inc.)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48766510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Advent of a New Era of Antenatal Cardiotocography","authors":"Yang Zhang, Qiongjie Zhou, Xiaotian Li","doi":"10.1097/fm9.0000000000000144","DOIUrl":"https://doi.org/10.1097/fm9.0000000000000144","url":null,"abstract":"","PeriodicalId":74121,"journal":{"name":"Maternal-fetal medicine (Wolters Kluwer Health, Inc.)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47800499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Two Successful Livebirths from Both Hemiuteruses After Laparoscopic Cervical Cerclage in a Uterus Didelphys Patient with Cervical Insufficiency","authors":"Limei Zhang, X. Zhong, Yuqing Chen, Tianyu Peng, Liyun Yu, Jian Cai, S. Yao, Zilian Wang","doi":"10.1097/fm9.0000000000000143","DOIUrl":"https://doi.org/10.1097/fm9.0000000000000143","url":null,"abstract":"","PeriodicalId":74121,"journal":{"name":"Maternal-fetal medicine (Wolters Kluwer Health, Inc.)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46516677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Safety of Internal Electronic Fetal Heart Rate Monitoring During Labor","authors":"Yiheng Liang, Yun Li, Chunhua Huang, Xiaohong Li, Qiaoqing Cai, Jiying Peng, S. Fan","doi":"10.1097/FM9.0000000000000145","DOIUrl":"https://doi.org/10.1097/FM9.0000000000000145","url":null,"abstract":"Abstract Objective: To investigate the safety and efficacy of internal electronic fetal heart rate (FHR) monitoring during labor. Methods: This was a retrospective case-control study, which was an analysis of monitoring FHR with a fetal scalp electrode or a Doppler probe (94 pregnant women per group). In the internal monitoring group, when the opening of the uterine orifice was ≥3 cm, the fetal scalp electrode was placed after natural or artificial rupture of the membrane. FHR was simultaneously monitored using a Doppler probe. In the external monitoring group, continuous FHR monitoring was performed using an ultrasound Doppler transducer fixed on the maternal abdomen. The toco transducer was used to record uterine contractions. Pathological examination of the placenta was performed prospectively in 49 and 48 cases in the internal electronic FHR monitoring group and control group, respectively. Maternal-infant outcomes (e.g. fever, puerperal infection, puerperal morbidity, delivery mode, Apgar score, and scalp injury) were recorded. Umbilical artery blood was extracted for blood gas analysis. Differences between the two groups were compared using the paired t-test, χ2 test, Yates corrected χ2 test or Fisher exact test. Results: Non-statistically significant differences between the internal and external monitoring groups were observed in the incidence of neonatal acidosis (1/94 (1.06%) vs. 3/94 (3.19%), respectively; χ2 = 0.255, P = 0.613), cesarean section/operative vaginal delivery (8/94 (8.51%) vs. 15/94 (15.96%), respectively; χ2 = 2.427, P = 0.181), fever during labor (18/94 (19.15%) vs. 15/94 (15.96%), respectively; χ2 = 0.331, P = 0.565), puerperal morbidity (2/94 (2.13%) vs. 3/94 (3.19%), respectively; χ2 = 0.000, P = 1.000), chorioamnionitis (9/49 (18.37%) vs. 7/48 (14.58%), respectively; χ2 = 0.252, P = 0.616), and neonatal asphyxia (0/94 (0.00%) vs. 1/94 (1.06%), respectively; χ2 = 0.000, P = 1.000). There were no puerperal infections, neonatal scalp injuries, or scalp abscesses found in either group. Using the internal monitoring value as reference, the incidence of FHR false deceleration in external FHR monitoring was 20.21% (19/94 women). Conclusion: Internal FHR monitoring during labor does not increase the incidence of adverse perinatal outcomes. External monitoring was associated with FHR false decelerations.","PeriodicalId":74121,"journal":{"name":"Maternal-fetal medicine (Wolters Kluwer Health, Inc.)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45974949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Computerized Analysis of Antepartum Cardiotocography: A Review","authors":"Gabriel Davis Jones, W. Cooke, M. Vatish, C. Redman","doi":"10.1097/FM9.0000000000000141","DOIUrl":"https://doi.org/10.1097/FM9.0000000000000141","url":null,"abstract":"Abstract Cardiotocography measures the human fetal heart rate and uterine activity using ultrasound. While it has been a mainstay in antepartum care since the 1960s, cardiotocograms consist of complex signals that have proven difficult for clinicians to interpret accurately and as such clinical inference is often difficult and unreliable. Previous attempts at codifying approaches to analyzing the features within these signals have failed to demonstrate reliability or gain sufficient traction. Since the early 1990s, the Dawes-Redman system of automated computer analysis of cardiotocography signals has enabled robust analysis of cardiotocographic signal features, employing empirically-derived criteria for assessing fetal wellbeing in the antepartum. Over the past 30 years, the Dawes-Redman system has been iteratively updated, now incorporating analyses from over 100,000 pregnancies. In this review, we examine the history of cardiotocography, signal processing methodologies and feature identification, the development of the Dawes-Redman system, and its clinical applications.","PeriodicalId":74121,"journal":{"name":"Maternal-fetal medicine (Wolters Kluwer Health, Inc.)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42155038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}