Fetal Medicine Research Articles

Race and ethnicity expression in reproductive endocrinology and infertility research studies compared with other obstetrics and gynecology subspecialty studies

To compare the percentage of patients per race and ethnicity group in the most cited reproductive endocrinology and infertility studies with the most cited studies in 3 other obstetrics and gynecology (OBGYN) subspecialties: gynecologic oncology, urogynecology (URO), and maternal-fetal medicine. Retrospective cohort study. Not applicable. Patients previously recruited in research studies. None. Expression of minorities in research studies. Individual searches were conducted for the most cited articles in OBGYN subspecialties until 50 studies met the inclusion criteria for each OBGYN subspecialty. A total of 29,821,148 patients were included and compared between subspecialty and US Census data. Reproductive endocrinology and infertility studies had the highest percentage of White patients (80.5%), although URO studies had fewer Black patients (6.6%) compared with other subspecialties. Reproductive endocrinology and infertility studies had the lowest percentage of Hispanic patients (4.9%), yet more Asian patients were present in URO studies (3.3%) than in other subspecialties. Gynecologic oncology studies were most likely to have missing data in race expression (19.3%). Comparing study types, retrospective studies had the highest percentage of White patients (61.9%), although randomized controlled trials had the lowest expression of Hispanic patients (8.8%). Reproductive endocrinology and infertility studies featured the highest rates of White patients compared with other OBGYN subspecialty studies, although URO studies had the lowest rates of Black patients. Randomized controlled trials featured higher rates of White patients and lower levels of Hispanic patients compared with US Census data.

First-trimester 3D fetal neurosonography: five standardised views

Background There are several international guidelines for foetal anomalies scanning at 11–14 weeks’ gestation. The aim of this study is to present our first-trimester specialist neurosonography protocol with examples of pathology in order to develop a systematic approach to evaluating the first-trimester foetal brain. Methods Women undergoing a first-trimester foetal medicine ultrasound scan between 2010 and 2020 for multiple indications underwent neurosonography according to a set protocol. 3D transvaginal brain examination was performed in all cases (2000 pregnancies scanned). We retrospectively reviewed all imaging to develop this protocol. Results We propose that the following five axial-plane parallel views should be obtained when performing neurosonography in the first trimester, moving from cranial to caudal: 1. Lateral ventricles; 2. Third ventricle; 3. Thalamus and mesencephalon; 4. Cerebellum; 5. Fourth ventricle. Examples of these images and abnormalities that can be seen in each plane are given. Conclusions We have presented a specialist protocol for systematically assessing the foetal brain in the first trimester and given examples of pathology which may be seen in each plane. Further work is needed to prospectively assess detection rates of major abnormalities using this protocol and assess the reproducibility and learning curve of this technique.

Validation of a Vaginal Birth After Cesarean Delivery Prediction Model Without Race and Ethnicity in Individuals With Two Prior Cesarean Deliveries.

Previous models for prediction of vaginal birth after cesarean (VBAC) relied on race and ethnicity, raising concern for bias. In response, the Maternal-Fetal Medicine Units Network (MFMU) created a new prediction model without race and ethnicity for individuals with one prior cesarean delivery. We performed a secondary analysis of the MFMU Cesarean Registry database to evaluate whether the MFMU VBAC prediction model without race and ethnicity could accurately predict VBAC for individuals with two prior cesarean deliveries. Overall, 353 individuals were included and 252 (71%) had VBAC. An area under the curve for the receiver operating curve of 0.74 (95% CI, 0.69-0.80) was reported for the predicted probabilities for VBAC, indicating that the model can be used for prediction of VBAC in this population.

Comparison of different methods of first-trimester screening for preterm pre-eclampsia: cohort study.

To compare the predictive performance of three different mathematical models for first-trimester screening of pre-eclampsia (PE), which combine maternal risk factors with mean arterial pressure (MAP), uterine artery pulsatility index (UtA-PI) and serum placental growth factor (PlGF), and two risk-scoring systems. This was a prospective cohort study performed in eight fetal medicine units in five different regions of Spain between September 2017 and December 2019. All pregnant women with singleton pregnancy and a non-malformed live fetus attending their routine ultrasound examination at 11 + 0 to 13 + 6 weeks' gestation were invited to participate in the study. Maternal characteristics and medical history were recorded and measurements of MAP, UtA-PI, serum PlGF and pregnancy-associated plasma protein-A (PAPP-A) were converted into multiples of the median (MoM). Risks for term PE, preterm PE (< 37 weeks' gestation) and early PE (< 34 weeks' gestation) were calculated according to the FMF competing-risks model, the Crovetto et al. logistic regression model and the Serra et al. Gaussian model. PE classification was also performed based on the recommendations of the National Institute for Health and Care Excellence (NICE) and the American College of Obstetricians and Gynecologists (ACOG). We estimated detection rates (DR) with their 95% CIs at a fixed 10% screen-positive rate (SPR), as well as the area under the receiver-operating-characteristics curve (AUC) for preterm PE, early PE and all PE for the three mathematical models. For the scoring systems, we calculated DR and SPR. Risk calibration was also assessed. The study population comprised 10 110 singleton pregnancies, including 32 (0.3%) that developed early PE, 72 (0.7%) that developed preterm PE and 230 (2.3%) with any PE. At a fixed 10% SPR, the FMF, Crovetto et al. and Serra et al. models detected 82.7% (95% CI, 69.6-95.8%), 73.8% (95% CI, 58.7-88.9%) and 79.8% (95% CI, 66.1-93.5%) of early PE; 72.7% (95% CI, 62.9-82.6%), 69.2% (95% CI, 58.8-79.6%) and 74.1% (95% CI, 64.2-83.9%) of preterm PE; and 55.1% (95% CI, 48.8-61.4%), 47.1% (95% CI, 40.6-53.5%) and 53.9% (95% CI, 47.4-60.4%) of all PE, respectively. The best correlation between predicted and observed cases was achieved by the FMF model, with an AUC of 0.911 (95% CI, 0.879-0.943), a slope of 0.983 (95% CI, 0.846-1.120) and an intercept of 0.154 (95% CI, -0.091 to 0.397). The NICE criteria identified 46.7% (95% CI, 35.3-58.0%) of preterm PE at 11% SPR and ACOG criteria identified 65.9% (95% CI, 55.4-76.4%) of preterm PE at 33.8% SPR. The best performance of screening for preterm PE is achieved by mathematical models that combine maternal factors with MAP, UtA-PI and PlGF, as compared to risk-scoring systems such as those of NICE and ACOG. While all three algorithms show similar results in terms of overall prediction, the FMF model showed the best performance at an individual level. © 2024 International Society of Ultrasound in Obstetrics and Gynecology.

Delivery of a national prenatal exome sequencing service in England: a mixed methods study exploring healthcare professionals' views and experiences.

In October 2020, rapid prenatal exome sequencing (pES) was introduced into routine National Health Service (NHS) care in England, requiring the coordination of care from specialist genetics, fetal medicine (FM) and laboratory services. This mixed methods study explored the experiences of professionals involved in delivering the pES service during the first 2years of its delivery in the NHS. A survey (n = 159) and semi-structured interviews (n = 63) with healthcare professionals, including clinical geneticists, FM specialists, and clinical scientists (interviews only) were used to address: 1) Views on the pES service; 2) Capacity and resources involved in offering pES; 3) Awareness, knowledge, and educational needs; and 4) Ambitions and goals for the future. Overall, professionals were positive about the pES service with 77% rating it as Good or Excellent. A number of benefits were reported, including the increased opportunity for receiving actionable results for parental decision-making, improving equity of access to genomic tests and fostering close relationships between FM and genetics departments. Nonetheless, there was evidence that the shift to offering pES in a clinical setting had brought some challenges, such as additional clinic time, administrative processes, perceived lack of autonomy in decision-making regarding pES eligibility and difficulty engaging with peripheral maternity units. Concerns were also raised about the lack of confidence and gaps in genomics knowledge amongst non-genetics professionals - especially midwives. However, the findings also highlighted value in both FM, obstetric and genetics professionals benefiting from further training with a focus on recognising and managing prenatally diagnosed genetic conditions. Healthcare professionals are enthusiastic about the benefits of pES, and through multi-collaborative working, have developed relationships that have contributed to effective communication across specialisms. Although limitations on resources and variation in knowledge about pES have impacted service delivery, professionals were hopeful that improvements to infrastructure and the upskilling of all professionals involved in the pathway would optimise the benefits of pES for both parents and professionals.

Counseling in fetal medicine: pre- and periviable fetal growth restriction.

Counseling in fetal medicine: pre- and periviable fetal growth restriction.

Role of artificial-intelligence-assisted automated cardiac biometrics in prenatal screening for coarctation of aorta.

Although remarkable strides have been made in fetal medicine and the prenatal diagnosis of congenital heart disease, around 60% of newborns with isolated coarctation of the aorta (CoA) are not identified prior to birth. The prenatal detection of CoA has been shown to have a notable impact on survival rates of affected infants. To this end, implementation of artificial intelligence (AI) in fetal ultrasound may represent a groundbreaking advance. We aimed to investigate whether the use of automated cardiac biometric measurements with AI during the 18-22-week anomaly scan would enhance the identification of fetuses that are at risk of developing CoA. We developed an AI model capable of identifying standard cardiac planes and conducting automated cardiac biometric measurements. Our data consisted of pregnancy ultrasound image and outcome data spanning from 2008 to 2018 and collected from four distinct regions in Denmark. Cases with a postnatal diagnosis of CoA were paired with healthy controls in a ratio of 1:100 and matched for gestational age within 2 days. Cardiac biometrics obtained from the four-chamber and three-vessel views were included in a logistic regression-based prediction model. To assess its predictive capabilities, we assessed sensitivity and specificity on receiver-operating-characteristics (ROC) curves. At the 18-22-week scan, the right ventricle (RV) area and length, left ventricle (LV) diameter and the ratios of RV/LV areas and main pulmonary artery/ascending aorta diameters showed significant differences, with Z-scores above 0.7, when comparing subjects with a postnatal diagnosis of CoA (n = 73) and healthy controls (n = 7300). Using logistic regression and backward feature selection, our prediction model had an area under the ROC curve of 0.96 and a specificity of 88.9% at a sensitivity of 90.4%. The integration of AI technology with automated cardiac biometric measurements obtained during the 18-22-week anomaly scan has the potential to enhance substantially the performance of screening for fetal CoA and subsequently the detection rate of CoA. Future research should clarify how AI technology can be used to aid in the screening and detection of congenital heart anomalies to improve neonatal outcomes. © 2024 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

Prenatal Cardiac Ultrasound Markers of Outcomes in Ebstein's Anomaly: An International Multicenter Case Series.

This study aimed to analyze prenatal cardiac ultrasound markers of outcome in fetuses with Ebstein's anomaly (EA).From a retrospective database, 35 fetuses diagnosed with EA at fetal medicine centers in Brazil, Italy, and Poland were retrieved. The primary outcome was perinatal mortality. We analyzed prenatal cardiac ultrasound markers of outcomes and perinatal follow-up. Gestational age at diagnosis, extracardiac fetal anomalies,spontaneous fetal demise, and gestational age at each event were recorded. In postnatal survivors, data on cardiac surgery and short-term postoperative outcomes were collected. Our study included a cohort of 35 fetuses with EA (mean gestational age of 29.4 weeks), in which 6 fetuses were excluded due to termination of pregnancy (3), pregnancy still ongoing (2), and missed follow-up (1). Of the remaining 29 cases, severe tricuspid regurgitation and absence of anterograde pulmonary flow (pulmonary atresia) were observed in 88%. Significant cardiomegaly accounts for 58% of these data with a mean cardiothoracic ratio of 0.59. The cardiovascular profile (CVS) score ≤ 6 in six patients with one survival (4 fetal deaths, one stillbirth, and one survival). All fetuses with CVS score of 5 had intrauterine demise. Seventeen fetuses were born alive (53.1% of 29 cases). Of the remaining fetuses, one (1%) fetal was a stillbirth, six (20%) fetuses were neonatal deaths, and five (17%) fetuses were fetal deaths. Of the nineteen patients who underwent surgery to correct the cardiac defect, 17 survived after surgery. Among the survivors, biventricular cardiac repair was performed using the cone technique (da Silva's approach) in the majority of cases. We observed 2 abnormal karyotypes among in the remaining 29 fetuses. One of the patients with abnormal karyotype was a fetus with ascites and large for gestational age. The other patient with abnormal karyotype underwent cardiac surgery and progressed to neonatal death. Nine patients (25%) had extracardiac anomalies (genitourinary anomalies and single umbilical artery), being that 2 of them are alive and 4 died (2 had fetal and 2 neonatal death). Fetal EA is associated with high mortality. The most common prenatal marker associated with non-survival was CVP score ≤ 6. Fetuses that survived and underwent postnatal corrective surgery are significantly favorable outcomes.

A national survey of clinicians’ opinions of rotational vaginal births

IntroductionMalposition of the fetal head, defined as occiput transverse or posterior positions, occurs in approximately 5% of births. At full cervical dilatation, fetal malposition is associated with an increased risk of rotational vaginal birth. There are three different rotational methods: manual rotation, rotational ventouse or rotational (Kielland’s) forceps. In the absence of robust evidence, it is not currently known which of the three methods is most efficacious, and safest for parents and babies. ObjectiveTo gain greater insights into opinions and preferences of rotational birth to explore the acceptability and feasibility of performing a randomised trial comparing different rotational methods. Material and methodsA survey was sent via email to obstetricians from the British Maternal Fetal Medicine Society, as well as expert obstetricians and active academics in ongoing research in the UK. The questions focussed on perceived competence, preferred rotational method, location (theatre or labour room), willingness to recruit to an RCT, and its outcome measures. Closed questions were followed by the option of free text to allow further comments. The free text answers underwent thematic analysis. Results252 consultant obstetricians responded. The majority stated they were competent in performing manual rotation (88.1%). Half felt proficient using Kielland’s rotational forceps (54.4%). Most obstetricians felt skilled in rotational ventouse (76.2%). Manual rotation was the preferred first rotational method of choice in cases of both occiput transverse and posterior positions. The decision for which rotational method to attempt first was considered case-dependent by many. Two thirds of obstetricians would usually conduct rotational births in theatre (67.9%). Over half (52%) do not routinely use intrapartum ultrasound. Most (62.7%) would be willing to recruit to a randomised controlled trial comparing manual versus instrumental rotation. Over half (57.2%) would be willing to recruit to the same RCT if they were the most senior doctor competent in rotational vaginal birth supervising a junior. ConclusionThere is a wide range of practice in conducting rotational vaginal births in the UK. An RCT to investigate the impact of different rotational methods on outcome would be both feasible and desirable, especially in research-active hospitals.

Atypicality index as an add-on to combined first-trimester screening for chromosomal aberrations.

To compute a set of atypicality indices based on combined first-trimester screening (cFTS) markers and second-trimester estimated fetal weight (EFW), and to demonstrate their potential in identifying pregnancies at reduced or increased risk of chromosomal aberrations following a low-risk cFTS result. The atypicality index quantifies the unusualness of an individual set of measurements relative to a reference distribution and can be computed from any variables or measurements available. A score of 0% on the atypicality index represents the most typical profiles, while a score of 100% indicates the highest level of atypicality. From the Danish Fetal Medicine Database, we retrieved data on all pregnant women seen for cFTS in the Central Denmark Region between January 2008 and December 2018. All pregnancies with a cytogenetic or molecular analysis obtained prenatally, postnatally or following pregnancy loss or termination were identified. A first-trimester atypicality index (AcFTS) was computed based on nuchal translucency (NT) thickness, maternal serum free β-human chorionic gonadotropin (β-hCG) and pregnancy-associated plasma protein-A (PAPP-A). Furthermore, a second-trimester index (AcFTS + EFW) was computed from cFTS markers and EFW from a routine second-trimester anomaly scan. All pregnancies were stratified into subgroups based on their atypicality levels and their cFTS risk estimates. The risk of chromosomal aberrations in each subgroup was then compared with the overall prevalence, and a graphical presentation of the multivariate measurement profiles was developed. We retrieved data on 145 955 singleton pregnancies, of which 9824 (6.7%) were genetically examined. Overall, 1 in 122 (0.82% (95% CI, 0.77-0.87%)) of all pregnancies seen for cFTS were affected by a fetal chromosomal aberration, and in screen-negative pregnancies (cFTS trisomy 21 risk < 1 in 100 and/or trisomy 18/13 risk < 1 in 50), 0.41% (95% CI, 0.38-0.44%) were affected. In screen-negative pregnancies with a typical first-trimester profile (AcFTS < 80%), the risk of chromosomal aberrations was significantly reduced (0.28%) compared with the overall risk. The risk of chromosomal aberrations increased with higher atypicality index to 0.49% (AcFTS [80-90%)), 1.52% (AcFTS [90-99%)) and 4.44% (AcFTS ≥ 99%) and was significantly increased in the two most atypical subgroups. The same applied for the second-trimester atypicality index, with risks of chromosomal aberrations of 0.76% and 4.16% in the two most atypical subgroups (AcFTS + EFW [90-99%) and AcFTS + EFW ≥ 99%, respectively). As an add-on to cFTS, the atypicality index identifies women with typical measurement profiles, which may provide reassurance, whereas atypical profiles may warrant specialist referral and further investigation. In pregnancies identified as low risk on cFTS but with a highly atypical distribution of NT, PAPP-A and β-hCG, the risk of a chromosomal aberration is substantially increased. The atypicality index optimizes the interpretation of pre-existing prenatal screening profiles and is not limited to cFTS markers or EFW. © 2023 International Society of Ultrasound in Obstetrics and Gynecology.

CETARS/CAR Practice Guideline on Imaging the Pregnant Trauma Patient.

Imaging of pregnant patients who sustained trauma often causes fear and confusion among patients, their families, and health care professionals regarding the potential for detrimental effects from radiation exposure to the fetus. Unnecessary delays or potentially harmful avoidance of the justified imaging studies may result from this understandable anxiety. This guideline was developed by the Canadian Emergency, Trauma and Acute Care Radiology Society (CETARS) and the Canadian Association of Radiologists (CAR) Working Group on Imaging the Pregnant Trauma Patient, informed by a literature review as well as multidisciplinary expert panel opinions and discussions. The working group included academic subspecialty radiologists, a trauma team leader, an emergency physician, and an obstetriciangynaecologist/maternal fetal medicine specialist, who were brought together to provide updated, evidence-based recommendations for the imaging of pregnant trauma patients, including patient safety aspects (eg, radiation and contrast concerns) and counselling, initial imaging in maternal trauma, specific considerations for the use of fluoroscopy, angiography, and magnetic resonance imaging. The guideline strives to achieve clarity and prevent added anxiety in an already stressful situation of injury to a pregnant patient, who should not be imaged differently.

#796 Obstetric nephrology in Europe: a survey of nephrologists’ self-reported experience and training

Abstract Background and Aims Chronic kidney disease (CKD) is estimated to affect 3% of pregnant women in high-income countries. The prevalence of CKD in pregnancy is predicted to rise due to advancing maternal age, obesity, and co-morbidities. There is a paucity of evidence regarding nephrologists’ experience in and exposure to women's health in Europe. North American literature reports two thirds of nephrologists self-reported a lack of confidence in women's health issues. This survey aimed to assess the confidence in and exposure to women's health among nephrologists in Europe. Method An anonymized online survey was conducted using the survey monkey platform from March to April 2023. A validated survey was utilised to ensure internal and external validity with minimal modifications made (Hendren, 2019). It was disseminated via email to Irish Nephrology Society membership, via link sharing on social media and messaging applications. Results were analysed using GraphPad prism. Results Demographics: A total of 75 participants responded, of those 52 identified as practising in Europe (22 Ireland and 30 other European countries). The results of respondents from Europe are detailed below. 63.46% (33) of respondents identified as female. 9.61% (5) were under 30 years of age, 42.3% (22) were aged from 30-40 years, 23.07% (12) were aged from 40-50 years, 23.07% (12) were aged from 50-60 years, and 1.92% (1) respondent over 60 years of age. Service provision: Women with kidney disease who are planning pregnancy are seen by the following Physicians: General or Transplant Nephrologist 63.46% (33), Nephrologist who specializes in pregnancy 42.31% (22), High Risk Obstetrician or Maternal Foetal Medicine Specialist 38.42% (20), Specialized interdisciplinary kidney disease in pregnancy clinic (Obstetrician and Nephrologist) 26.92% (14),Primary care doctor/family doctor 15.38% (8), Obstetrical Internal Medicine specialist 7.69% (4). Women with kidney disease who are pregnant are seen by the following Physicians: Nephrologist who specializes in pregnancy 40.38% (21), Specialized interdisciplinary kidney disease in pregnancy clinic (Obstetrician and Nephrologist) 34.62% (18),High Risk Obstetrician or Maternal Foetal Medicine Specialist 50% (26), General or Transplant Nephrologist 50% (26), Primary care doctor/family doctor 11.54% (6), Obstetrical Internal Medicine specialist 7.69% (4). 17.42% (9) of respondents had cared for &amp;lt;1 pregnant woman in the last year. Education: 73.07% (38) of respondents noted receiving dedicated education in women's health while in specialty training. Resources that were identified as potentially be helpful for counselling and management of women of childbearing age with CKD included: Interdisciplinary guidelines established by Obstetrics and Nephrology 80.77% (42), continuing education seminars or case based materials 78.85% (41), referral to a nephrologist with special interest and/or training in women's health 53.85% (28), patient education pamphlets or videos with shared decision making tools 44.23% (23), and access to e-consultation in 21.15% (11). Pregnancy counselling: 57.69% (30) of Nephrologists were confident/very confident in counselling on pregnancy outcomes by CKD stage. 48.08% (25) of Nephrologists were confident/very confident in counselling on foetal outcomes by CKD stage. 63.46% (33) of respondents offer pre-conception counselling to less than one women per month. Conclusion Nephrologists practising in Europe have varied exposure to and confidence in caring for women with kidney disease who are planning pregnancy or are pregnant. There is potential for improvement in training and expansion of combined obstetric and nephrology pre-conceptual counselling and pregnancy care. Further consultation with patient advocacy groups is required to plan future care delivery.

Current status and future of genomics in fetal and maternal medicine: A scientific review commissioned by European Board and College of Obstetrics and Gynaecology (EBCOG)

This EBCOG guidance reviews the current and future status of genomics within fetal and maternal medicine. This document addresses the clinical uses of genetic testing in both screening and diagnostic testing prenatally. The role of genomics within fetal and maternal medicine is described. The research and future implications of genetic testing as well as the educational, ethical and economic implications of genomics are discussed.

Society for Maternal-Fetal Medicine Position Statement: Paid family and medical leave

The Society for Maternal-Fetal Medicine strongly supports paid family and medical leave as a mechanism to optimize the health of pregnant people and their families and to improve health equity. All leave should include full wages and benefits and job protection to ensure parents can care for themselves and their children. The Society endorses the implementation of a national policy that would provide fully paid sick leave in addition to a minimum of 12 weeks of universal paid, job-protected family and medical leave to optimize health and well-being across generations.

Personalized medicine in the evaluation of Müllerian anomalies: the role of three-dimensional printing technology

To present the comprehensive methodology for generating personalized three-dimensional (3D) printed uterine models from 3D ultrasound (US) volumes in individuals diagnosed with Müllerian anomalies and discuss potential applications in the field of reproductive endocrinology and infertility. Pilot study. Single large university-affiliated teaching hospital. Patients with the presence of a Müllerian anomaly between the ages of 18 and 45 years attending the maternal-fetal medicine as well as reproductive endocrinology and infertility outpatient offices from 2018 to 2023 were included in the study. Subjects underwent 3D US transvaginal scanning for the collection of data. The 3D US volumes were acquired, edited, and exported from a US cart Voluson E10 system (GE Healthcare, Chicago, IL). High-definition virtual models were created and modified, making them suitable for printing using Materialise 3-Matic Medical (Materialise NV, Leuven, Belgium). The models were printed on a J5 MediJet 3D printer (Stratasys, Rehovot, Israel). Colors were set to mimic a realistic appearance, and shore values were set before printing. Successful creation and utilization of personalized 3D-printed uterine models for individuals with Müllerian anomalies. Three-dimensional models were created for a uterus without anomalies, 2 variations of a partial septum, a unicornuate, and a didelphys uterus. Models were used as a tactile and customized tool for patient education, counseling, and medical student and resident teaching. This technique illustrates that the creation of personalized 3D-printed uterine models for utilization in the fields of reproductive endocrinology and infertility is feasible. We propose a novel use of individualized 3D-printed uterine models in the evaluation of individuals with Müllerian anomalies. These models may play a complementary role to standard imaging options in the assessment of these anomalies, with a special potential for application in highly complex or yet-to-be-determined types of anomalies.

Anesthetic Considerations and Outcomes in Amniotic Fluid Embolism: A Retrospective Study over a 15-Year Period.

(1) Background: A rare and unexpected consequence of childbirth, labor, or the immediate postpartum period is amniotic fluid embolism (AFE). This study aims to identify AFE cases during or immediately after birth from anesthetic management perspectives. Secondary goals include assessing patient clinical features, obstetric care techniques, birth outcomes, and case survival. (2) Methods: A retrospective observational study assessed AFE patients hospitalized in three Romanian clinical institutions from October 2007 to April 2023. Based on the Society of Maternal-Fetal Medicine (SMFM) criteria, we diagnosed 11 AFE patients. (3) Results: AFE occurred in eight cases (73%) during peripartum, two (18%) within 30 min after placental delivery, and 1 (9%) during a scheduled cesarean surgery. Only one of six cardiorespiratory arrest patients responded to external cardiac massage, while the other five (83%) needed defibrillation. The patients received, on average, five units of red blood cells, six of fresh frozen plasma, and two of activated platelets. Six patients (55%) received factor VIIa infusions. Maternal mortality was 36.3%. Six neonates (75%) needed neonatal resuscitation, and two (25%) died on the second and third days. (4) Conclusions: AFE management necessitates a multidisciplinary approach and the incorporation of advanced life support techniques to optimize outcomes for both the mother and newborn.

Self-reported respiratory and gastrointestinal outcomes in children with isolated congenital diaphragmatic hernia: A prospective multicentre study.

To evaluate medium-term self-reported respiratory and gastrointestinal (GI) outcomes in children with congenital diaphragmatic hernia (CDH). Self-reported respiratory and GI outcomes correlated with prenatal severity indicators. Prospective study at three fetal medicine units. Families of children prenatally diagnosed with isolated, left-sided CDH surviving for >1 year. Families received validated questionnaires for GI outcomes (Infant Gastroesophageal Reflux Questionnaire Revised, I-GERQ-R, for infants aged <2 years, or Paediatric Gastro-oesophageal Symptom and Quality of Life Questionnaire, PGSQ, for children aged aged 2-8 years or >9 years) and respiratory outcomes (preschool respiratory outcome questionnaire, for children aged ≤5 years, or the International Study of Asthma and Allergies in Childhood asthma questionnaire, for children aged 6-8 years or ≥9 years). Prenatal data collected from the medical records included lung size (percentage observed/expected lung-to-head ratio, O/E LHR %), liver position, fetal endoluminal tracheal occlusion (FETO) gestational age (GA) at delivery, and perinatal data included birthweight, location, patch repair and respiratory support. The GI and respiratory scores were correlated with O/E LHR using linear and logistic regression models. Univariate analysis was used to evaluate associations with perinatal variables. We obtained 142 responses from 342 families (representing a response rate of 45%). The baseline characteristics of participants and non-participants were comparable. No correlations between perinatal variables and respiratory or GI scores were identified. Children aged ≤5 years with lower O/E LHR values reported higher respiratory scores (P = 0.0175); this finding was not reported in older children. Overall, the children who underwent FETO (n = 51) had GI (P = 0.290) and respiratory (P = 0.052) scores that were comparable with those of children who were expectantly managed. Families and children with prenatally diagnosed CDH reported fewer respiratory symptoms with increasing age. There was no correlation between O/E LHR or the use of FETO and self-reported outcomes.

Cumulative sum learning curve for cordocentesis among maternal-fetal medicine fellows in a low-cost simulation model.

To determine the individual learning curves for cordocentesis in a low-cost simulator for maternal-fetal medicine (MFM) fellows. This observational, descriptive, educational, and prospective study was performed from July through November 2022. After an introductory course based on a standardized technique for cordocentesis, each second-year MFM fellow who accepted to participate in the study performed this procedure using a low-cost simulation model, and experienced operators supervised the cordocenteses. Learning curves were then created using cumulative sum analysis (CUSUM). Seven second-year MFM fellows with no previous experience in cordocentesis accepted to participate in the study. A total of 2676 procedures were assessed. On average, residents performed 382 ± 70 procedures. The mean number of procedures to achieve proficiency was 369 ± 70, the overall success rate was 84.16%, and the corresponding failure rate was 15.84%. At the end of the study, all fellows were considered competent in cordocentesis. One fellow required 466 attempts to achieve competency, performing a total of 478 procedures, but the resident with the fewest attempts to reach competency required 219 procedures, completing 232 procedures. Some of the most frequent reasons for failed attempts included not reaching the indicated point for vascular access (20.99%) and being unable to retrieve the sample (69.10%). CUSUM analysis to assess learning curves, in addition to using low-cost simulation models, helped to appraise individualized learning, allowing an objective demonstration of competency for cordocentesis among MFM fellows.

Maternal obesity, interpregnancy weight changes and congenital heart defects in the offspring: a nationwide cohort study

ObjectiveTo evaluate the association between maternal BMI and congenital heart defects (CHDs) in the offspring when including live births, stillbirths, aborted and terminated pregnancies and to investigate if maternal interpregnancy weight changes between the first and second pregnancy influences the risk of foetal CHDs.MethodsA nationwide cohort study of all singleton pregnancies in Denmark from 2008 to 2018. Data were retrieved from the Danish Foetal Medicine Database, which included both pre- and postnatal diagnoses of CHDs. Children or foetuses with chromosomal aberrations were excluded. Odds ratios were calculated with logistic regression models for CHDs overall, severe CHDs and five of the most prevalent subtypes of CHDs.ResultsOf the 547 105 pregnancies included in the cohort, 5 442 had CHDs (1.0%). Risk of CHDs became gradually higher with higher maternal BMI; for BMI 25-29.9 kg/m2, adjusted odds ratio (aOR) 1.17 (95% CI 1.10-1.26), for BMI 30-34.9 kg/m2, aOR 1.21 (95% CI 1.09-1.33), for BMI 35-39.9 kg/m2, aOR 1.29 (95% CI 1.11-1.50) and for BMI ≥ 40 kg/m2, aOR 1.85 (95% CI 1.54-2.21). Data was adjusted for maternal age, smoking status and year of estimated due date. The same pattern was seen for the subgroup of severe CHDs. Among the atrioventricular septal defects (n = 231), an association with maternal BMI ≥ 30 kg/m2 was seen, OR 1.67 (95% CI 1.13-2.44). 109 654 women were identified with their first and second pregnancies in the cohort. Interpregnancy BMI change was associated with the risk of CHDs in the second pregnancy (BMI 2 to < 4 kg/m2: aOR 1.29, 95% CI 1.09-1.53; BMI ≥ 4 kg/m2: aOR 1.36, 95% CI 1.08-1.68).ConclusionThe risk of foetal CHDs became gradually higher with higher maternal BMI and interpregnancy weight increases above 2 BMI units were also associated with a higher risk of CHDs.

Artificial intelligence as a new answer to old challenges in maternal-fetal medicine and obstetrics.

Following the latest trends in the development of artificial intelligence (AI), the possibility of processing an immense amount of data has created a breakthrough in the medical field. Practitioners can now utilize AI tools to advance diagnostic protocols and improve patient care. The aim of this article is to present the importance and modalities of AI in maternal-fetal medicine and obstetrics and its usefulness in daily clinical work and decision-making process. A comprehensive literature review was performed by searching PubMed for articles published from inception up until August 2023, including the search terms "artificial intelligence in obstetrics", "maternal-fetal medicine", and "machine learning" combined through Boolean operators. In addition, references lists of identified articles were further reviewed for inclusion. According to recent research, AI has demonstrated remarkable potential in improving the accuracy and timeliness of diagnoses in maternal-fetal medicine and obstetrics, e.g., advancing perinatal ultrasound technique, monitoring fetal heart rate during labor, or predicting mode of delivery. The combination of AI and obstetric ultrasound can help optimize fetal ultrasound assessment by reducing examination time and improving diagnostic accuracy while reducing physician workload. The integration of AI in maternal-fetal medicine and obstetrics has the potential to significantly improve patient outcomes, enhance healthcare efficiency, and individualized care plans. As technology evolves, AI algorithms are likely to become even more sophisticated. However, the successful implementation of AI in maternal-fetal medicine and obstetrics needs to address challenges related to interpretability and reliability.