Family Support to Women During Pregnancy and Its Impact on Maternal and Fetal Outcomes.

BACKGROUND: Family support is one of the determinants of lifestyle habits and relevant health behavior for pregnancy outcomes. In India, the joint family system is still practiced. Due to education, urbanization, and industrialization, the family institution continues to play a central role in people's lives. Pregnancy is a crucial period in women's lives. Good care during pregnancy is important for the health of the mother and the newborn baby. During this period, hormonal changes are complex and involve multiple hormones working together to support the developing fetus and prepare the mother's body for labor, delivery, and breastfeeding. To avoid maternal and fetal complications, she needs support from her family throughout pregnancy and the postnatal period. AIM AND OBJECTIVES: This study aims to evaluate the influence of the level and quality of family support during pregnancy on maternal and fetal outcomes and to identify any association between the sociodemographic variables and the impact of the level and quality of family support during the first trimester. MATERIAL AND METHODS: This study used a quantitative approach with a survey research design. Data were collected from four Primary Health Centers at Karad, Maharashtra, India, i.e., Rethare, Vadgaon, Kale, and Supane. A consecutive sampling technique was used to select the 344 subjects from the Rethare, Vadgaon, Kale, and Supane areas of Karad Taluka. Data were collected before the completion of the first three months of pregnancy, then during the second trimester and after delivery. Upon evaluation, the tool was validated by experts representing a range of specialties, including community health nursing, mental health nursing, obstetric gynecology, and pediatric care. A pilot study was conducted on 30 samples. The data collected were analyzed by using descriptive and inferential statistics. RESULT: The findings of the study show a significant association between the psychosocial support received in the first trimester and the total gestational weeks completed at the time of delivery (p < 0.05). The study suggests the need for psychosocial support during the first trimester for better maternal and fetal outcomes. CONCLUSION: Psychosocial family support is needed by pregnant women during the first trimester to achieve maternal and fetal outcomes.

Antenatal reproductive screening for pregnant people including preconception: Provides the best reproductive opportunity for informed consent, quality, and safety.

INTRODUCTION: This antenatal screening review will include reproductive screening evidence and approaches for pre-conception and post-conception, using first to third trimester screening opportunities. METHODS: Focused antenatal screening peer-reviewed publications were evaluated and summarized. RESULTS: Evidenced-based reproductive antenatal screening elements should be offered and discussed, with the pregnancy planning or pregnant person, during Preconception (genetic carrier screening for reproductive partners, personal and family (including reproductive partner) history review for increased genetic and pregnancy morbidity risks); First Trimester (fetal dating with ultrasound; fetal aneuploidy screening plus consideration for expanded fetal morbidity criteria, if appropriate; pregnant person preeclampsia screening; early fetal anatomy screening; early fetal cardiac screening); Second Trimester for standard fetal anatomy screening (18-22 weeks) including cardiac; pregnant person placental and cord pathology screening; pregnant person preterm birth screening with cervical length measurement); Third Trimester (fetal growth surveillance; continued preterm birth risk surveillance). CONCLUSION: Antenatal reproductive screening has multiple elements, is complex, is time-consuming, and requires the use of pre- and post-testing counselling for most screening elements. The use of preconception and trimesters 'one to three' requires clear patient understanding and buy-in. Informed consent and knowledge transfer is a main goal for antenatal reproductive screening approaches.

Early first-trimester transvaginal ultrasound screening for Cesarean scar pregnancy in patients with previous Cesarean delivery: analysis of the evidence.

Obstetric hemorrhage is a leading cause of maternal morbidity and mortality. An important etiology of obstetric hemorrhage is placenta accreta spectrum. In the last two decades, there has been increased clinical experience of the devastating effect of undiagnosed, as well as late diagnosed, cases of Cesarean scar pregnancy. There is a growing body of evidence suggesting that Cesarean scar pregnancy is an early precursor of second- and third-trimester placenta accreta spectrum. As such, Cesarean scar pregnancy should be diagnosed in the early first trimester. This early diagnosis could be achieved by introducing regimented sonographic screening in pregnancies of patients with previous Cesarean delivery. This Opinion article evaluates the scientific and clinical basis of whether Cesarean scar pregnancy, with special focus on its early first-trimester discovery, complies with the accepted requirements of a screening test. Each of the 10 classical screening criteria of Wilson and Jungner were systematically applied to evaluate if the criteria were met by Cesarean scar pregnancy, to analyze if it is possible and realistic to carry out screening in a population-wide fashion.

Maternal Reassurance, Satisfaction, and Anxiety after First-Trimester Screening for Aneuploidies: Comparison between Contingent Screening and Universal Cell-Free DNA Testing.

BACKGROUND: This study aims to evaluate maternal reassurance, satisfaction, and anxiety after two different strategies for the first-trimester screening for aneuploidies. METHODS: Patients between 11 + 3 and 13 + 6 weeks of gestation attending the first-trimester screening at Department of Mother and Child, University Hospital Federico II, Naples, Italy have been recruited and randomly allocated to contingent screening or universal cell-free fetal DNA testing (cffDNA). Questionnaires to measure reassurance, satisfaction, and anxiety have been filled twice: (Q1) after randomization and (Q2) after receiving results. Anxiety was measured by an Italian-version short form of the state scale of the Spielberger State-Trait Anxiety Inventory (STAI); child-related anxiety was measured by the 11-item Pregnancy-Related Anxiety Questionnaire-Revised Regardless of Parity (PRAQ-R2 scale); fear of bearing a physically or mentally handicapped child was measured considering only four items (item 4, 9, 10, and 11) of the PRAQ-R2 scale. RESULTS: 431 patients were recruited: 205 (49%) were randomized in the contingent screening arm, 226 (51%) in the cfDNA arm. Maternal reassurance, satisfaction, and anxiety were not different in the two groups. CONCLUSION: A contingent screening for aneuploidies in the first trimester seems able to ensure the same maternal reassurance and satisfaction as a cfDNA analysis in the low-risk population and to not affect maternal anxiety.

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.

This article suggests a way in which specialists scanning babies at 11­14 weeks of pregnancy can check the brain in a structured way. This involves looking at the brain at five levels or planes to view the developing structures. The suggested scan protocol is similar to images produced of the brain and heart at the second trimester (20 week) scan. We hope that specialists will find it useful to check the brain in this way if there are concerns raised at the dating (12 week) scan, and that this will lead to earlier detection of brain abnormalities or differences.

Simple and Fast Prediction of Gestational Diabetes Mellitus Based on Machine Learning and Near-Infrared Spectra of Serum: A Proof of Concept Study at Different Stages of Pregnancy.

Gestational diabetes mellitus (GDM) is a hyperglycemic state that is typically diagnosed by an oral glucose tolerance test (OGTT), which is unpleasant, time-consuming, has low reproducibility, and results are tardy. The machine learning (ML) predictive models that have been proposed to improve GDM diagnosis are usually based on instrumental methods that take hours to produce a result. Near-infrared (NIR) spectroscopy is a simple, fast, and low-cost analytical technique that has never been assessed for the prediction of GDM. This study aims to develop ML predictive models for GDM based on NIR spectroscopy, and to evaluate their potential as early detection or alternative screening tools according to their predictive power and duration of analysis. Serum samples from the first trimester (before GDM diagnosis) and the second trimester (at the time of GDM diagnosis) of pregnancy were analyzed by NIR spectroscopy. Four spectral ranges were considered, and 80 mathematical pretreatments were tested for each. NIR data-based models were built with single- and multi-block ML techniques. Every model was subjected to double cross-validation. The best models for first and second trimester achieved areas under the receiver operating characteristic curve of 0.5768 ± 0.0635 and 0.8836 ± 0.0259, respectively. This is the first study reporting NIR-spectroscopy-based methods for the prediction of GDM. The developed methods allow for prediction of GDM from 10 µL of serum in only 32 min. They are simple, fast, and have a great potential for application in clinical practice, especially as alternative screening tools to the OGTT for GDM diagnosis.

A cesarean section scar dehiscence during the first trimester of an intrauterine pregnancy: a rare case report and literature review.

Uterine rupture is specified as a complete laceration of the uterine wall, including its serosa, leading to a connection between the endometrial and peritoneal chambers. It can occur in any stage of pregnancy and is considered a severe and perhaps fatal complication. A 35-year-old woman at 9 weeks of gestation with a medical history of five prior cesarean sections presented with lower abdominal pain that had lasted for 5 hr. We detected small amounts of free fluid in the Douglas pouch using ultrasound. Subsequently, a laparotomy revealed a cesarean scar dehiscence from a non-cesarean scar pregnancy. Patients who experience a uterine rupture may have vague symptoms, severe abdominal discomfort, abnormal uterine bleeding, and severe hemorrhagic shock, depending on their gestational age. Ultrasound imaging can be used to diagnose this fatal condition in addition to laparoscopy to immediately identify and treat the issue in urgent cases.

A novel artificial intelligence model for measuring fetal intracranial markers during the first trimester based on two-dimensional ultrasound image.

OBJECTIVE: To establish reference ranges of fetal intracranial markers during the first trimester and develop the first novel artificial intelligence (AI) model to measure key markers automatically. METHODS: This retrospective study used two-dimensional (2D) ultrasound images from 4233 singleton normal fetuses scanned at 11+0-13+6 weeks of gestation at the Affiliated Suzhou Hospital of Nanjing Medical University from January 2018 to July 2022. We analyzed 10 key markers in three important planes of the fetal head. Based on these, reference ranges of 10 fetal intracranial markers were established and an AI model was developed for automated marker measurement. AI and manual measurements were compared to evaluate differences, correlations, consistency, and time consumption based on mean error, Pearson correlation analysis, intraclass correlation coefficients (ICCs), and average measurement time. RESULTS: The results of AI and manual methods had strong consistency and correlation (all ICC values >0.75, all r values >0.75, and all P values <0.001). The average absolute error of both only ranged from 0.124 to 0.178 mm. AI achieved a 100% detection rate for abnormal cases. Additionally, the average measurement time of AI was only 0.49 s, which was more than 65 times faster than the manual measurement method. CONCLUSION: The present study first established the normal standard reference ranges of fetal intracranial markers based on a large Chinese population data set. Furthermore, the proposed AI model demonstrated its capability to measure multiple fetal intracranial markers automatically, serving as a highly effective tool to streamline sonographer tasks and mitigate manual measurement errors, which can be generalized to first-trimester scanning.

The 'Radiant Effect': Recent Sonographic Image-Enhancing Technique and Its Impact on Nuchal Translucency Measurements.

Background: This study assesses the effects of the 'Radiant' image enhancement technique on fetal nuchal translucency (NT) measurements during first-trimester sonographic exams. Methods: A retrospective analysis of 263 ultrasound images of first-trimester midsagittal sections was conducted. NT measurements were obtained using a semi-automatic tool. Statistical methods were applied to compare NT measurements with and without 'Radiant' enhancement. An in vitro setup with predefined line distances provided additional data. Results: Incremental increases in NT measurements were observed with varying levels of 'Radiant' application: an average increase of 0.19 mm with 'Radiant min', 0.24 mm with 'Radiant mid', and 0.30 mm with 'Radiant max.' The in vitro results supported these findings, showing consistent effects on line thickness and measurement accuracy, with the smallest mean deviation occurring at the 'Radiant mid' setting. Conclusions: 'Radiant' image enhancement leads to significant increases in NT measurements. To avoid systematic biases in clinical assessments, it is advisable to disable 'Radiant' during NT measurement procedures. Further studies are necessary to corroborate these findings and to consider updates to the NT reference tables based on this technology.

The role of aspartate aminotransferase to platelet ratio index (APRI) in the first trimester for the prediction of superimposed preeclampsia: A case-control study from a tertiary center.

INTRODUCTION: To evaluate the role of aspartate aminotransferase to platelet ratio index (APRI) in the prediction of superimposed preeclampsia in chronic hypertensive pregnancy group in the first trimester. METHODS: The present retrospective case-control study was conducted on 258 pregnant women, including 75 patients in the isolated chronic hypertension group, 92 in the superimposed preeclampsia group, and 91 low-risk pregnant women in the control group. APRI1 was calculated from routine blood test results in the first antenatal visit, and APRI2 was calculated from prelabor routine blood test results. APRI indices and other blood count parameters were evaluated and compared between groups and with the literature. RESULTS: APRI1 was lower in the superimposed preeclampsia group than in the control and chronic hypertension groups, with p-values < 0.001. In the first trimester, platelet counts were higher in the superimposed preeclampsia group than in the hypertension and control groups. APRI2 was increased in the superimposed preeclampsia group compared to the control and chronic hypertension groups, with p-values 0.001 and 0.002, respectively. The optimal cut-off value for APRI1 was 0.036 (sensitivity 65.2 %, specificity 83.7 %), and for APRI2, it was found to be 0.057 (sensitivity 67.4 %, specificity 52.0 %) to predict superimposed preeclampsia. DISCUSSION: To the best of our knowledge, this was the first study evaluating APRI in predicting superimposed preeclampsia in the first trimester. Increased platelet counts and lower APRI were found to be valuable indices for predicting superimposed preeclampsia. Further studies are needed to determine the utility of APRI in clinical practice.

Patient-perceived barriers to early initiation of prenatal care at a large, urban federally qualified health center: a mixed-methods study.

BACKGROUND: Early initiation of prenatal care is widely accepted to improve the health outcomes of pregnancy for both mothers and their infants. Identification of the various barriers to entry into care that patients experience may inform and improve health care provision and, in turn, improve the patient's ability to receive necessary care. AIM: This study implements a mixed-methods approach to establish methods and procedures for identifying barriers to early entry to prenatal care in a medically-vulnerable patient population and areas for future quality improvement initiatives. METHODS: An initial chart review was conducted on obstetrics patients that initiated prenatal care after their first trimester at a large federally qualified health center in Brooklyn, NY, to determine patient-specified reasons for delay. A thematic analysis of these data was implemented in combination with both parametric and non-parametric analyses to characterize the population of interest, and to identify the primary determinants of delayed entry. RESULTS: The age of patients in the population of interest (n = 169) was bimodal, with a range of 15 - 43 years and a mean of 28 years. The mean gestational age of entry into prenatal care was 19 weeks. The chart review revealed that 8% recently moved to Brooklyn from outside of NYC or the USA. Nine percent had difficulty scheduling an initial prenatal visit within their first trimester. Teenage pregnancy accounted for 7%. Provider challenges with documentation (21%) were noted. The most common themes identified (n = 155) were the patient being in transition (21%), the pregnancy being unplanned (17%), and issues with linkage to care (15%), including no shows or patient cancellations. Patients who were late to prenatal care also differed from their peers dramatically, as they were more likely to be Spanish-speaking, to be young, and to experience a relatively long delay between pregnancy confirmation and entry into care. Moreover, the greatest determinant of delayed entry into care was patient age. CONCLUSION: Our study provides a process for other like clinics to identify patients who are at risk for delayed entry to prenatal care and highlight common barriers to entry. Future initiatives include the introduction of a smart data element to document reasons for delay and use of community health workers for dedicated outreach after no show appointments or patient cancellations.

Cervical length measurement between 11 and 13 + 6 weeks of pregnancy: Comparison of maternal and ultrasonographic characteristics between term and preterm deliveries.

OBJECTIVE: The aim of this study was to evaluate the maternal and ultrasonographic characteristics of pregnant women who underwent cervical length (CL) measurement by transvaginal ultrasound between 11 and 13 + 6 weeks of gestation and who delivered at term or preterm. METHODS: A retrospective cohort study was carried out between March 2013 and December 2018 by analyzing ultrasound data of singleton pregnant women who underwent CL measurement by transvaginal ultrasound during the first trimester scan. CL was compared between the two groups (full-term and preterm birth [PB]) using Student's t-test. RESULTS: A total of 5097 pregnant women were enrolled, of whom 5061 (99.3%) had term and 36 (0.7%) had PB < 34 weeks. CL measurements did not differ between the term and preterm groups (36.62 vs. 37.83 mm, p = 0.08). Maternal age showed a significant and linear association with CL (r = 0.034, p = 0.012) and CRL (r = 0.086, p < 0.001). Smoking status was associated with shorter CL (36.64 vs. 35.09 mm, p = 0.003). When we analyzed the CL of the pregnant women in the term and preterm groups, according to the gestational age cut-offs for prematurity (28, 30, 32, and 34 weeks), we found that there was no significant difference between the measurements in all groups (p > 0.05). CONCLUSION: We observed no significant differences between CL measurements between 11 and 13 + 6 weeks in pregnant women who had preterm and term deliveries. Gestational age and CRL showed a significant and linear association with CL measurement.

A first trimester prediction model and nomogram for gestational diabetes mellitus based on maternal clinical risk factors in a resource-poor setting.

BACKGROUND: The implementation of universal screening for Gestational Diabetes Mellitus (GDM) is challenged by several factors key amongst which is limited resources, hence the continued reliance on risk factor-based screening. Effective identification of high-risk women early in pregnancy may enable preventive intervention. This study aimed at developing a GDM prediction model based on maternal clinical risk factors that are easily assessable in the first trimester of pregnancy in a population of Nigerian women. METHODS: This was a multi-hospital prospective observational cohort study of 253 consecutively selected pregnant women from which maternal clinical data was collected at 8-12 weeks gestational age. Diagnosis of GDM was made via a one-step 75-gram Oral Glucose Tolerance Test (OGTT) at 24-28 weeks of gestation. A GDM prediction model and nomogram based on selected maternal clinical risk factors was developed using multiple logistic regression analysis, and its performance was assessed by Receiver Operator Curve (ROC) analysis. Data analysis was carried out using Statistical Package for Social Sciences (SPSS) version 25 and Python programming language (version 3.0). RESULTS: Increasing maternal age, higher body mass index (BMI), a family history of diabetes mellitus in first-degree relative and previous history of foetal macrosomia were the major predictors of GDM. The model equation was: LogitP = 6.358 - 0.066 × Age - 0.075 × First trimester BMI - 1.879 × First-degree relative with diabetes mellitus - 0.522 × History of foetal macrosomia. It had an area under the receiver operator characteristic (ROC) curve (AUC) of 0.814 (95% CI: 0.751-0.877; p-value < 0.001), and at a predicted probability threshold of 0.745, it had a sensitivity of 79.2% and specificity of 74.5%. CONCLUSION: This first trimester prediction model reliably identifies women at high risk for GDM development in the first trimester, and the nomogram enhances its practical applicability, contributing to improved clinical outcomes in the study population.

Predictive value of the HALP score for pre-eclampsia with severe features.

INTRODUCTION: Predictive tests are needed to ensure the development and subsequent follow-up of pre-eclampsia, which is responsible for significant rates of morbidity and mortality during pregnancy. This study aimed to evaluate the predictive value of the Hemoglobin, Albumin, Lymphocyte, and Platelet (HALP) score for the severity of preeclampsia. METHODS: We retrospectively analyzed the data of women diagnosed with pre-eclampsia at our clinic from January 2019 to January 2023. The control group consisted of normotensive, healthy pregnant women. Women diagnosed with preeclampsia were further evaluated in two groups: those with severe features and those without severe features. The clinical and demographic data of the cases were evaluated. The HALP score was calculated using the first trimester blood parameters of the cases and compared between groups. RESULTS: The study included 229 patients with preeclampsia and 142 normotensive healthy controls. Of the patients with preeclampsia, 104 (28.1%) had severe features of the disease. The HALP score was significantly higher in the preeclampsia group with severe features than in the control group (6.18 ± 2.66 vs. 3.75 ± 1.86; p = 0.006). In multivariate logistic regression analysis, the HALP score (odds ratio: 2.02, 95% confidence interval: 1.10-3.32, p = 0.017) was found to be an independent indicator for preeclampsia with severe features. A HALP score of > 4.61 predicted the development of preeclampsia with severe features with a sensitivity of 74.5% and a specificity of 81.3%. CONCLUSION: We found a significant correlation between the HALP score and preeclampsia with severe features. The HALP score may be useful in predicting the severity of preeclampsia.

Inverse association of prepregnancy systolic blood pressure and live birth rate in normotensive women undergoing in vitro fertilization/intracytoplasmic sperm injection.

OBJECTIVE: To explore whether maternal baseline systolic blood pressure (SBP) and diastolic blood pressure (DBP) affect pregnancy outcomes particularly in normotensive women (SBP, 90-139 mm Hg; DBP, 60-89 mm Hg) and hypertensive women undergoing in vitro fertilization (IVF) or intracytoplasmic sperm injection (ICSI). DESIGN: Retrospective cohort study. SETTING: Maximum care hospital for reproductive medicine. PATIENT(S): This study included 73,462 patients who underwent IVF/ICSI at the Reproductive and Genetic Hospital of CITIC-Xiangya between January 1, 2016, and November 30, 2020, selected on the basis of pre-established criteria. Analysis was limited to the first transfer cycle of the first stimulation cycle. INTERVENTION: Baseline SBP and DBP. MAIN OUTCOME MEASURE(S): The primary outcome focused on the live birth rate (LBR), with the secondary outcomes including clinical pregnancy rate, ectopic pregnancy rate, first-trimester miscarriage rate, second- or third-trimester fetal loss, and delivery/neonatal/maternal outcomes. Analytic methods included Poisson regression, linear regression, linear mixed-effect model, and restricted cubic spline analysis as appropriate. RESULT(S): For normotensive women, a 10-mm Hg increase in SBP was associated with an adjusted relative risk of 0.988 (95% confidence interval, 0.981-0.995) for live birth likelihood. However, DBP was not significantly associated with LBR after adjustments. The secondary outcomes indicated that increases in SBP and DBP were associated with higher risks of first-trimester miscarriage, gestational diabetes mellitus, and gestational hypertension in the normotensive subset. Sensitivity analyses confirmed these associations between SBP/DBP and LBR, consistent with the main findings even under stricter guidelines and after adjusting for multiple confounders. Subgroup analyses showed variation in the impact of blood pressure on LBR across different demographics and conditions. Consistent with earlier studies on blood pressure and birth outcomes, we found a 10-mm Hg increase in SBP was associated with a 5.4% (adjusted relative risk per 10 mm Hg, 0.946; 95% confidence interval, 0.907-0.986) reduction in LBR in the hypertensive subgroup. CONCLUSION(S): Systolic blood pressure impacted LBR outcomes in normotensive women who underwent IVF/ICSI, which suggests the need for reconsidering blood pressure management guidelines for reproductive-age women, focusing on reproductive health in addition to cardiovascular risk.

First-trimester serum biomarkers in twin pregnancies and adverse obstetric outcomes-a single center cohort study.

PURPOSE: This study aimed to determine the association of first-trimester maternal serum biomarkers with preterm birth (PTB), fetal growth restriction (FGR) and hypertensive disorders of pregnancy (HDP) in twin pregnancies. METHODS: This is a retrospective cohort study of twin pregnancies followed at Maternidade Dr. Alfredo da Costa, Lisbon, Portugal, between January 2010 and December 2022. We included women who completed first-trimester screening in our unit and had ongoing pregnancies with two live fetuses, and delivered after 24 weeks. Maternal characteristics, pregnancy-associated plasma protein-A (PAPP-A) and ß-human chorionic gonadotropin (ß-hCG) levels were analyzed for different outcomes: small for gestational age (SGA), gestational hypertension (GH), early and late-onset pre-eclampsia (PE), as well as the composite outcome of PTB associated with FGR and/or HDP. Univariable, multivariable logistic regression analyses and receiver-operating characteristic curve were used. RESULTS: 466 twin pregnancies met the inclusion criteria. Overall, 185 (39.7%) pregnancies were affected by SGA < 5th percentile and/or HDP. PAPP-A demonstrated a linear association with gestational age at birth and mean birth weight. PAPP-A proved to be an independent risk factor for SGA and PTB (< 34 and < 36 weeks) related to FGR and/or HDP. None of the women with PAPP-A MoM > 90th percentile developed early-onset PE or PTB < 34 weeks. CONCLUSION: A high serum PAPP-A (> 90th percentile) ruled out early-onset PE and PTB < 34 weeks. Unless other major risk factors for hypertensive disorders are present, these women should not be considered candidates for aspirin prophylaxis. Nevertheless, close monitoring of all TwP for adverse obstetric outcomes is still recommended.

Development of a 3D-printed nuchal translucency model: a pilot study for prenatal ultrasound training.

BACKGROUND: We used two 3D ultrasound volumes of fetal heads at 13 weeks to create live-size 3D-printed phantoms with a view to training or assessment of diagnostic abilities for normal and abnormal nuchal translucency measurements. The phantoms are suitable for use in a water bath, imitating a real-life exam. They were then used to study measurement accuracy and reproducibility in examiners of different skill levels. METHODS: Ultrasound scans of a 13 + 0-week fetus were processed using 3D Slicer software, producing a stereolithography file for 3D printing. The model, crafted in Autodesk Fusion360™, adhered to FMF guidelines for NT dimensions (NT 2.3 mm). Additionally, a model with pathologic NT was designed (NT 4.2 mm). Printing was performed via Formlabs Form 3® printer using High Temp Resin V2. The externally identical looking 3D models were embedded in water-filled condoms for ultrasound examination. Eight specialists of varying expertise levels conducted five NT measurements for each model, classifying them in physiological and abnormal models. RESULTS: Classification of the models in physiological or abnormal NT resulted in a detection rate of 100%. Average measurements for the normal NT model and the increased NT model were 2.27 mm (SD ± 0.38) and 4.165 mm (SD ± 0.51), respectively. The interrater reliability was calculated via the intraclass correlation coefficient (ICC) which yielded a result of 0.883, indicating robust agreement between the raters. Cost-effectiveness analysis demonstrated the economical nature of the 3D printing process. DISCUSSION: This study underscores the potential of 3D printed fetal models for enhancing ultrasound training through high inter-rater reliability, consistency across different expert levels, and cost-effectiveness. Limitations, including population variability and direct translation to clinical outcomes, warrant further exploration. The study contributes to ongoing discussions on integrating innovative technologies into medical education, offering a practical and economical method to acquire, refine and revise diagnostic skills in prenatal ultrasound. Future research should explore broader applications and long-term economic implications, paving the way for transformative advancements in medical training and practice.

First-trimester uterine artery Doppler and hypertensive disorders in twin pregnancies: Use of twin versus singleton references.

OBJECTIVE: To determine the association of first-trimester uterine artery Doppler with hypertensive disorders of pregnancy in twin pregnancies. METHODS: This was a retrospective cohort study of twin pregnancies followed at the University Hospital Center of Central Lisbon, Portugal, between January 2010 and December 2022. First-trimester uterine artery pulsatility index (UtA-PI) was determined and compared between twin pregnancies (n = 454) and singleton pregnancies (n = 908), matched to maternal and pregnancy characteristics. Maternal characteristics and mean UtA-PI were analyzed for gestational age, birth weight, gestational hypertension, early- and late-onset pre-eclampsia, HELLP (hemolysis, elevated liver enzymes, low platelets) syndrome, and preterm birth. Univariable and multivariable logistic regression models were used. RESULTS: The mean first-trimester UtA-PI was significantly lower in dichorionic twins than in singletons (P < 0.001). To study hypertensive disorders of pregnancy in twins, 390 pregnancies were included: 311 (79.7%) dichorionic and 79 (20.3%) monochorionic twins. The observed rates of early- and late-onset pre-eclampsia, gestational hypertension, and HELLP syndrome were 1.0%, 4.4%, 7.4%, and 1.5%, respectively. We achieved a 100% detection rate for early-onset pre-eclampsia using the UtA-PI 90th centile for twins. However, when singleton references were considered, the detection rate decreased to 50%. UtA-PI at or above the 95th centile was associated with increased odds for preterm birth before 32 weeks (adjusted odds ratio 4.1, 95% confidence interval 1.0-16.7, P = 0.043). CONCLUSIONS: Unless other major risk factors for hypertensive disorders are present, women with low UtA-PI will probably not benefit from aspirin prophylaxis. Close monitoring of all twin pregnancies for hypertensive disorders is still recommended.

The mediating effect of pregnancy adaptation between family support and maternal-fetal bonding: a cross-sectional study.

BACKGROUND: Establishing a nurturing bond with the unborn child is essential for expectant mothers throughout pregnancy. While the influence of family support and pregnancy adaptation on maternal-fetal bonding is evident, these factors remain unexplored in the early stages of pregnancy. This study aims to elucidate the dynamic interaction between family support, pregnancy adaptation, and maternal-fetal bonding during the first trimester, explicitly investigating the mediating role of pregnancy adaptation. METHOD: A cross-sectional design was conducted to recruit expectant mothers between 8 and 12 weeks of gestation without significant complications. RESULTS: Family support and pregnancy adaptation emerged as significant predictors of maternal-fetal bonding, and pregnancy adaptation mediated the relationship between family support and maternal-fetal bonding in the first trimester. CONCLUSIONS: The study confirms the critical role of family support and pregnancy adaptation in facilitating maternal-fetal bonding during early pregnancy, with pregnancy adaptation fully mediating this relationship. Healthcare providers are encouraged to involve family members in early interventions, focusing on assessing family support and engaging them in education and activities to strengthen the emotional bond between the mother and her unborn child.

Comparison of Pre-eclampsia Screening Algorithms in the First Trimester of Pregnancy Being Used in Thai Nguyen Province.

Objective To compare the rates of pregnancies in high-risk groups for preeclampsia recommended for aspirin prophylactic when screened using various common algorithms. Methods This cross-sectional study was conducted on 1726 pregnant women from 11 to 13 weeks six days of gestation receiving antenatal care at two hospitals: Thai Nguyen National Hospital and a hospital in Thai Nguyen Province from October 2022 to October 2023. All participants provided consent for the study. We collected maternal characteristics, obstetric history, mean arterial pressure (MAP), mean uterine artery-PI (UtA-PI), and placental growth factor serum (PLGF). Screening performance estimates were calculated using the Fetal Medicine Foundation (FMF) and National Institute for Health and Care Excellence (NICE) guidelines. All pregnant women in the study had their preeclampsia risk assessed using all three algorithms with two cut-off points. Our data was collected, entered and analyzed using SPSS software 20.0 (IBM Corp., Armonk, NY). Categorical data was reported as frequency and percentage. McNemar's test was used for analyzing differences in the sizes of individual groups. Results In our study, the most common high-risk factor identified was the history of preeclampsia, 132 cases (7.6%). According to the NICE guideline, BMI ≥ 35 (kg/m²) is considered a moderate risk factor for preeclampsia. Several risk factors, such as BMI ≥ 35 kg/m² and history of diabetes mellitus type 1, were not present in any participants. Only one pregnant woman had chronic kidney disease (0.06%). Out of the 1726 pregnant women surveyed, the rates of high-risk preeclampsia were as follows: 9.9% (171 cases) based on algorithm 1; 10.8% (187 cases) based on algorithm 2 with a cut-off point > 1/100, 11.8% (203 cases) with a cut-off point > 1/150; 10.3 % (178 cases) based on algorithm 3 with a cut-off point > 1/100, and 11.6% (201 cases) with a cut-off point > 1/150. Among these algorithms, pregnant women in the high-risk preeclampsia group were advised to consider taking low-dose aspirin. Conclusion Screening for pre-eclampsia based on NICE recommendations resulted in a lower number of high-risk pregnant women requiring prophylactic aspirin use compared to other algorithms. This means that some pregnant women at risk of developing preeclampsia are not recommended to use aspirin as a preventive measure. Adding PLGF to the screening strategy will help us get closer to pregnant women who are truly at risk of progressing to preterm preeclampsia.