Prenatal Care Research Articles

Novel neural network classification of maternal fetal ultrasound planes through optimized feature selection

Ultrasound (US) imaging is an essential diagnostic technique in prenatal care, enabling enhanced surveillance of fetal growth and development. Fetal ultrasonography standard planes are crucial for evaluating fetal development parameters and detecting abnormalities. Real-time imaging, low cost, non-invasiveness, and accessibility make US imaging indispensable in clinical practice. However, acquiring fetal US planes with correct fetal anatomical features is a difficult and time-consuming task, even for experienced sonographers. Medical imaging using AI shows promise for addressing current challenges. In response to this challenge, a Deep Learning (DL)-based automated categorization method for maternal fetal US planes are introduced to enhance detection efficiency and diagnosis accuracy. This paper presents a hybrid optimization technique for feature selection and introduces a novel Radial Basis Function Neural Network (RBFNN) for reliable maternal fetal US plane classification. A large dataset of maternal–fetal screening US images was collected from publicly available sources and categorized into six groups: the four fetal anatomical planes, the mother's cervix, and an additional category. Feature extraction is performed using Gray-Level Co-occurrence Matrix (GLCM), and optimization methods such as Particle Swarm Optimization (PSO), Grey Wolf Optimization (GWO), and a hybrid Particle Swarm Optimization and Grey Wolf Optimization (PSOGWO) approach are utilized to select the most relevant features. The optimized features from each algorithm are then input into both conventional and proposed DL models. Experimental results indicate that the proposed approach surpasses conventional DL models in performance. Furthermore, the proposed model is evaluated against previously published models, showcasing its superior classification accuracy. In conclusion, our proposed approach provides a solid foundation for automating the classification of fetal US planes, leveraging optimization and DL techniques to enhance prenatal diagnosis and care.

Indications and Outcomes of Fetal Cystoscopy for Lower Urinary Tract Obstruction: A Comprehensive Review.

Fetal lower urinary tract obstruction (LUTO) encompasses a spectrum of rare congenital anomalies affecting the fetal urinary system, leading to significant morbidity and mortality. This condition, arising from various anatomical anomalies such as posterior urethral valves (PUV), urethral atresia, and cloacal malformations, disrupts normal urine flow, resulting in secondary complications such as pulmonary hypoplasia and renal impairment. Current management strategies, including fetal vesicoamniotic shunting (VAS) and fetal cystoscopy, aim to alleviate obstruction and mitigate associated risks. While VAS has been a longstanding intervention, fetal cystoscopy presents a promising alternative by enabling direct visualization and targeted treatment of urinary tract obstructions. However, fetal cystoscopy is not without challenges, including technical complexities and risks associated with invasive procedures. This review explores the rationale, indications, technical considerations, outcomes, and future innovations of fetal cystoscopy in managing LUTO. It highlights the critical role of accurate diagnosis, patient selection, and procedural expertise in optimizing fetal and maternal outcomes. Despite existing challenges, ongoing advancements in technology and clinical practice hold the potential for further enhancing the safety and efficacy of fetal cystoscopy, underscoring its evolving role in prenatal care.

Analysis of pregnancy and neonatal outcomes in 100 pregnant women with Rh-negative blood type

BackgroundThis study aimed to explore variations in prenatal care, delivery methods, influencing factors, and neonatal outcomes among Rh-negative pregnant women, so as to improve pregnancy healthcare for this demographic, raise the quality of maternal–fetal management, and safeguard the health of both mother and infant.MethodsThis study included 200 women who received routine prenatal care, exhibited no other pregnancy complications, and were admitted for delivery. They were divided into an observation group (100 Rh-negative blood type) and a control group (100 Rh-positive blood type). The study examined differences in pregnancy management, clinical characteristics and pregnancy outcomes between the two groups.ResultsThe results indicated that singleton pregnancies in Rh-negative mothers are associated with significantly higher rates of postpartum blood loss (305.1 ± 183.8 vs. 246.1 ± 84.9 mL, P = 0.004), neonatal hyperbilirubinemia (39% vs. 23%, P = 0.014), low birth weight (11% vs. 2%, P = 0.01), and NICU admission (30% vs. 18%, P = 0.046) compared to the control group. Among Rh-negative mothers, subgroup analysis by ethnicity revealed a higher incidence of fetal distress in the other ethnic groups compared to the Han and Zhuang groups (16.7%, 0, 6.5%, respectively, P = 0.025). Subgroup analysis based on ABO blood type within Rh-negative mothers did not show any statistical significance in various outcomes (all P > 0.05). Infants with neonatal hyperbilirubinemia born to Rh-negative mothers experienced a quicker resolution of hyperbilirubinemia compared to those whose mothers did not receive intramuscular anti-D immunoglobulin [1.0 (1.0, 1.5) vs. 5.0 (1.5, 10.0), P = 0.002].ConclusionsThe Rh-negative blood type is linked to higher risks of neonatal hyperbilirubinemia, low birth weight, and increased postpartum hemorrhage, resulting in detrimental pregnancy outcomes. Administering anti-D immunoglobulin speeds up the resolution of neonatal hyperbilirubinemia. Thus, prudent and efficient use of anti-D immunoglobulin can mitigate adverse outcomes for both mothers and newborns.

Investigating the causes of maternal mortality in Razavi Khorasan based on forensic medical records during the years 2015 to 2022

BackgroundMaternal mortality is among the main indicators of health in nations. Identifying the causes of maternal mortality is crucial in designing preventive interventions. Therefore, this study aimed to evaluate the causes of maternal mortality during 8 years.MethodsThis descriptive-analytical study was conducted on the archived cases of maternal mortality in the Forensic Medicine Department of the Khorasan Razavi Province between March 2013 and March 2022, but as no data was available for the first two years, maternal mortality data for 8 years was evaluated. Demographic characteristics, midwifery data, pregnancy care method, pregnancy care and delivery agent, insurance type, and confirmed cause of death were compared between the first and last five-year periods of the study.ResultsOverall, 250 cases of maternal mortality were identified in the study period. The prevalence of indirect and unrelated causes of maternal mortality was significantly higher in the last four-year period compared to the first four-year period (p < 0.001). The most common direct causes of maternal mortality in both periods were postpartum hemorrhage, eclampsia and gestational hypertension complications; and postpartum infection. Coronavirus disease 2019 (COVID-19) was the most common cause of maternal mortality in the last four-year period but the other common indirect causes of maternal mortality (cardiovascular disease and pulmonary embolism) were similar between the two periods. The most common unrelated cause of maternal mortality was accidents.ConclusionsPostpartum maternal mortality was higher than intrapartum period. Bleeding was still the main cause of maternal mortality. Despite the progress in prenatal care, it is necessary to improve intrapartum and postpartum quality of care.

Perceptions of Coping With Breastfeeding Pain: A Secondary Analysis.

Although there are many known benefits of providing human milk to infants, breastfeeding-related pain is a significant reason for breastfeeding cessation. Breastfeeding-related pain is a unique experience due to breastfeeding's goal-directed purpose, repetitive nature, and socio-emotional reflections of successful parenting. Understanding how lactating parents cope with breastfeeding-related pain will inform clinical practice to encourage individuals to meet their lactation goals. The aim of this study was to evaluate how lactating parents view coping with breastfeeding-related pain to be different from coping with other types of pain. We conducted a secondary analysis of a pilot randomized control study of a breastfeeding pain self-management intervention. Data from 57 participants who breastfed and completed self-report surveys at 1, 2, and 6 weeks postpartum were included. We employed Boyatzis' thematic analysis method to evaluate affirmative responses to "Is coping with breastfeeding pain different than coping with other pain?" We evaluated correlations between responses to coping with breastfeeding pain and pain severity scores. We identified 3 main themes: (1) uncharted waters, (2) light at the end of the tunnel, and (3) parental role and responsibility. No significant differences were detected between the pain scores of individuals who viewed coping with breastfeeding to be different and those who did not. Lactating parents reported an array of psychological coping strategies in response to breastfeeding-related pain. Coping processes were influenced by personal goals, parental role evaluations, and a desire to meet their infant's needs. Interventions during prenatal and postpartum care that incorporate individualized coping strategies could support breastfeeding goal attainment.

Advancing diagnosis and early risk assessment of preeclampsia through noninvasive cell-free DNA methylation profiling

BackgroundAberrant embryo implantation and suboptimal placentation can lead to (severe) complications such as preeclampsia and fetal growth restriction later in pregnancy. Current identification of high-risk pregnancies relies on a combination of risk factors, biomarkers, and ultrasound examinations, a relatively inaccurate approach.Previously, aberrant DNA methylation due to placental hypoxia has been identified as a potential marker of placental insufficiency and, hence, potential (future) pregnancy complications. The goal of the Early Prediction of prEgnancy Complications Testing, or the ExPECT study, is to validate a genome-wide, cell-free DNA (cfDNA) methylation strategy to diagnose preeclampsia accurately. More importantly, the predictive potential of this strategy is also explored to reliably identify high-risk pregnancies early in gestation. Furthermore, a longitudinal study was conducted, including sequential blood samples from pregnant individuals experiencing both uneventful and complicated gestations, to assess the methylation dynamics of cfDNA throughout these pregnancies.A significant strength of this study is its enzymatic digest, which enriches CpG-rich regions across the genome without the need for proprietary reagents or prior selection of regions of interest. This makes it useful for the cost-effective discovery of novel markers.ResultsInvestigation of methylation patterns throughout pregnancy showed different methylation trends between unaffected and affected pregnancies. We detected differentially methylated regions (DMRs) in pregnancies complicated with preeclampsia as early as 12 weeks of gestation, with distinct differences in the methylation profile between early and late pregnancy. Two classification models were developed to diagnose and predict preeclampsia, demonstrating promising results on a small set of validation samples.ConclusionsThis study offers valuable insights into methylation changes at specific genomic regions throughout pregnancy, revealing critical differences between normal and complicated pregnancies. The power of noninvasive cfDNA methylation profiling was successfully proven, suggesting the potential to integrate this noninvasive approach into routine prenatal care.

Identification of a Fetal De Novo Splice Variant in ARCN1 Associated With Growth and Skeletal Abnormalities

Abstract Objective: To report a fetus with ARCN1-related syndrome caused by a novel de novo heterozygous variant, highlighting the importance of early genetic diagnosis in prenatal care. Methods: The clinical and genetic data of a fetus with a complex combination of clinical signs and a novel de novo heterozygous variant were collected and have been summarized in this study. The potential pathogenic variant was identified throughout the whole exome sequencing and the effects of candidate variants were further validated by aminigene splicing assay. Results: Prenatal systematic ultrasound detected fetal growth restriction. Genetic analysis identified a novel de novo heterozygous variant within the ARCN1 gene—c.1241+5G&gt;A—located in intron 8. In vitro minigene splicing assays demonstrated that the variant led to two abnormal transcripts. The longer transcript retained 189 base pairs of intron 8, resulting in a truncated protein of 414 amino acids (p.Ser415*). The shorter transcript involved exon 8 skippings, producing a truncated protein of 407 amino acids (p.Ile378Serfs*31). Conclusion: A novel de novo heterozygous variant of the ARCN1 gene, namely NM_001655.5: c.1241+5G&gt;A, was discovered and identified in a fetus with rhizomelic short stature, microretrognathia, and developmental delays.

Assessing the Impact of COVID-19 on Pregnancy and Maternal Outcomes: A Slovak National Study

Background: The COVID-19 pandemic highlighted the global challenge of inadequate data on SARS-CoV-2’s effects on pregnant women and their infants. In response, Slovakia, along with other countries, launched a nationwide study to assess the incidence, characteristics, and outcomes of SARS-CoV-2 infection during pregnancy. Methods: We conducted a national observational descriptive study of SARS-CoV-2 positive cases among pregnant women from the pandemic’s onset to its conclusion. In collaboration with the Public Health Office of the Slovak Republic, we identified 1184 pregnant women who tested positive for SARS-CoV-2 and contacted them for participation. Results: Among the 240 participating SARS-CoV-2-positive pregnant women, 13 required hospitalizations, with an increased need for intensive care and respiratory support. However, the absolute risk of poor outcomes remained low. Higher maternal age and infection during the third trimester emerged as key risk factors for hospitalization. A symptomatic course was dominant, with fatigue (70%), headache (58%), and fever (56%) as the leading symptoms. While maternal and neonatal outcomes were generally favourable, a slight increase in caesarean sections and preterm births suggests an indirect impact on maternity care. Vaccination during pregnancy correlated with reduced symptoms and no hospitalizations. Elevated CRP levels were common among infected women, while ultrasound findings remained normal. Conclusions: This study offers a multi-dimensional view of pregnancy during the pandemic, capturing both the mother’s personal concerns and the objective insights from prenatal and labour care settings. The findings suggest that most pregnant women with SARS-CoV-2 experience mild to moderate illness, offering reassurance to clinicians about generally favourable maternal and neonatal outcomes while underscoring the need for vigilance in rare severe cases.

User experience and perceived usability of nurse-led telemonitoring among women with gestational diabetes in Dhulikhel, Nepal

ObjectiveTo assess the usability and acceptability of nurse-led telemonitoring in managing gestational diabetes among Nepalese women.MethodsWe conducted a convergent mixed-method study among 91 pregnant women diagnosed with gestational diabetes at Dhulikhel Hospital, Nepal. Participants received glucometers and blood pressure monitors, along with training and instructions to measure and record their blood pressure and glucose levels at home once a week. Starting from the 28th gestational week, the study nurse reviewed measurements obtained at home during the biweekly telemonitoring follow ups, alternating with hospital visits. We used the System Usability Scale (SUS) to assess perceived usability and conducted in-depth interviews to understand participants’ experiences with telemonitoring and related technologies, including feasibility, acceptability, satisfaction with treatment, usability, as well as any difficulties or unmet needs. The quantitative analysis included descriptive statistics to summarize participant characteristics and System Usability Scale (SUS) responses, while a framework analysis was applied to examine the qualitative data.ResultsThe mean SUS score for telemonitoring services was 72.1 ± 7.6, indicating good usability (a score ≥ 68 indicates good usability). 93% of participants wanted to use the service frequently; 88% found it easy to use; 81% considered it well-integrated with their typical prenatal care. Participants acknowledged the benefits of virtual health visits, such as frequent health monitoring, facilitation of communication with healthcare providers, appointment reminders, added motivation for home monitoring, increased access to health information, and prevention of unnecessary anxiety. Overall, participants expressed satisfaction with the quality and features of the nurse-led telemonitoring for managing gestational diabetes, emphasizing its role in ensuring uninterrupted prenatal care.ConclusionsTelemonitoring is a feasible and acceptable tool to facilitate close monitoring of pregnant women with gestational diabetes in peri-urban hospital settings in Nepal.

Factors Associated With First-Trimester Prenatal Care Initiation In The United States: A Scoping Review.

First-trimester prenatal care is an important component of quality care during pregnancy and is associated with improved perinatal outcomes. Despite its importance, many pregnant people delay prenatal care initiation or receive no prenatal care. This scoping review assessed multilevel factors associated with first-trimester prenatal care initiation in the United States among studies that included a measure of prenatal care timing, using the socioecological model as an organizing framework. A scoping review was conducted according to the Joanna Briggs Institute methodology for scoping reviews and followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for scoping reviews guidelines for reporting. PubMed, Cochrane, Embase, CINAHL, and Social Sciences Abstracts were searched for peer-reviewed papers that focused on facilitators and barriers associated with first-trimester prenatal care initiation, were written in English, included a measure of prenatal care timing, and used data gathered after 2014. Of the 1469 articles identified in the search, 19 met inclusion criteria and were included in the final review. Articles described intrapersonal, interpersonal, and environmental-level barriers and facilitators of first-trimester prenatal care initiation including Medicaid expansion, immigration status, and the COVID-19 pandemic. Significant heterogeneity in the measurement of prenatal care timing existed across studies. Our findings suggest that, although environmental domain factors have been impactful toward increasing population-level rates of first-trimester prenatal care initiation, benefits have not been equitable across sociodemographic factors. Increasing the proportion of pregnant people who initiate first-trimester prenatal care will require comprehensive efforts that address sociodemographic and contextual factors, including persistent structural and systemic barriers that cause and widen health disparities.

Women's perspectives to improve prenatal care for gestational diabetes: A systematic review and meta-aggregation of qualitative studies.

In numerous qualitative primary studies, women have identified opportunities to improve prenatal gestational diabetes care. The objective of our systematic review and meta-aggregation was to synthesize patient-guided suggestions for improving prenatal gestational diabetes care that are informed by lived experience of women and their support persons. This study was registered a priori on PROSPERO (CRD42023394014). Our search strategy was executed in five databases (Medline, PsycInfo, CINAHL, Scopus, and Web of Science). Primary studies that were qualitative, had full texts in English, studied women who have or had gestational diabetes or their support persons, and included experiential accounts on prenatal gestational diabetes care were included. No date restrictions were applied. Studies that were not qualitative, were secondary analyses, included data on only postpartum care, or evaluated an intervention that was not standard care were excluded. Two independent authors used Covidence software to facilitate screening. The outcomes of interest were patient-reported suggestions to improve quality of gestational diabetes care that are informed by women's or their support persons' accounts of the lived experience of gestational diabetes. Meta-aggregation followed by a thematic synthesis approach was used to analyze the qualitative data to identify women's perspectives to improve gestational diabetes care. After duplicate removal, a total of 4761 studies underwent screening and a total of 80 studies were ultimately included. Patient- and support persons-reported suggestions to improve care include timely and comprehensive education around gestational diabetes with active engagement of family members, personalized and tailored counseling, patient-centered care, incorporation of digital or online adjuncts to care, and increasing support for women. Our systematic review and meta-aggregation identifies several actionable and patient-guided suggestions to improve prenatal gestational diabetes care that are important to consider when embarking on clinical quality improvement.

Vaccination of pregnant women: an overview of European policies and strategies to promote it

Maternal immunization is a valuable tool for protecting mother and unborn child from vaccine-preventable diseases. However, the implementation of strategies for vaccinating pregnant women has only recently gained traction. This work is aimed at providing an overview of European vaccination strategies and gathering evidence on interventions enhancing vaccination knowledge, attitudes, and behaviors (KAB) in pregnant women. To summarize current pregnancy vaccination strategies in Europe, we consulted literature, institutional national health system websites, and the ECDC Vaccine Scheduler. The review of evidence on interventions targeting pregnant women’s vaccination KAB was performed by searching primary studies on PubMed and Web of Science. The 27 EU member states offer various vaccinations in pregnancy, but only 10 recommend all of these: tetanus, pertussis, diphtheria, influenza, and COVID-19, albeit with different administration schedules. The literature review included 7 studies, 3 from Italy and 4 from other European countries (UK, Netherlands, Greece, Poland, and Ukraine). They were conducted in various settings such as childbirth preparation courses, prenatal visits, and online platforms, and all included educational interventions providing information on vaccine safety and efficacy during pregnancy. Knowledge about vaccines and vaccine-preventable diseases, generally low in the pre-intervention period, increased post-intervention, with a rise in awareness of the risks associated with infectious diseases and the recommended vaccines, a reduction in vaccine-related misinformation, and a greater propensity to vaccinate both newborns and themselves. Furthermore, there was a significant increase in adherence to recommended vaccinations, particularly among those with higher educational levels. However, vaccine hesitancy persisted, influenced by factors such as fear of adverse events and the lack of recommendations from healthcare providers. Variations in pregnancy vaccination strategies across Europe emphasize the importance of establishing a unified framework to optimize maternal and fetal health outcomes through evidence-based policies. Educational interventions may positively impact pregnant women’s KAB, therefore promoting vaccination uptake.

Factors associated with sleep quality in adolescent pregnant women.

To verify the association of sociodemographic, anthropometric, obstetric, lifestyle factors, and depressive symptoms with sleep quality in pregnant adolescents. This cross-sectional study involved pregnant adolescents aged 10 to 19 who received prenatal care in Recife, Pernambuco, Brazil. Data collection included an individual evaluation form and the administration of the Pregnancy Physical Activity Questionnaire (PPAQ), the Pittsburgh Sleep Quality Index (PSQI), and the Beck Depression Inventory (BDI). Prevalence and associations were calculated using Pearson's chi-square test or Fisher's exact test, followed by logistic regression analysis. The study included 386 pregnant adolescents with a mean age of 17 ± 2 years. The prevalence of poor sleep quality was 67.5%. Poor sleep quality was associated with moderate to severe depressive symptoms (OR = 2.21; 95%CI 1.27-3.85), higher education levels (OR = 2.26; 95%CI 1.43-3.57), and the presence of gestational physical symptoms (OR = 1.18; 95%CI 1.10-1.27). Pregnant adolescents exhibit a high prevalence of poor sleep quality, which is linked to depressive symptoms, higher education levels, and gestational physical symptoms. These findings highlight the importance of screening for sleep disorders in this population and emphasize the need for guidelines addressing physical symptoms and their impact on sleep, as well as the presence of depression.

Incentives for pregnant mothers during antenatal care for better maternal and neonatal health outcomes in low and middle income countries: A Systematic Review and Meta-Analysis

Background Universal access to maternal, newborn, and child healthcare is essential for achieving Sustainable Development Goal 3, but the effectiveness of various incentive-based programs for pregnant mothers in low- and middle-income countries (LMICs) remains uncertain. Objective of this systematic review was to determine if incentive-based interventions influenced maternal and neonatal health outcomes. Methods We conducted a search in various databases from inception. All incentive-based interventional studies conducted on pregnant women in LMICs were included. Evidence from the included trials was synthesized using risk ratios (RRs) to compare the outcomes between groups receiving incentives and not receiving incentives. The meta-analysis was conducted using random-effects model. We assessed the quality of the included studies using the Cochrane Risk of Bias 2.0 tool and reviewed the collected data to determine its suitability for meta-analysis. This study is registered in PROSPERO (CRD42021247681). Results Of the 3,897 records that were identified, 11 met eligibility criteria, all of which exhibited varying degrees of risk of bias, ranging from high to some concerns. Analysis of maternal outcomes across studies revealed no significant differences in the likelihood of delivering at a healthcare facility (RR 1.13, 95% CI: 0.86 to 1.47) and in frequency of prenatal care (RR 0.99, 95% CI: 0.88 to 1.12) between intervention and control groups. However, high levels of statistical heterogeneity were observed for both outcomes indicating variability among study results. Similarly, analysis of tetanus vaccine coverage showed no significant difference between groups (RR 1.00, 95% CI: 0.92 to 1.08), with moderate statistical heterogeneity observed. Conclusion The maternal and neonatal outcomes examined in this review did not have any significant differences in intervention group when compared to the control group. The interventions to address maternal health concerns need to follow a multifactorial approach. There is a need for extensive primary research studies in the future.

Determinants of Hypertensive Disorders in Pregnant Women Attended at Parirenyatwa Group of Hospitals in Zimbabwe from January - December 2022

Background: Globally 2.73% of pregnant women suffer from hypertension. Currently, there is still a gap of knowledge in Zimbabwe on hypertensive disorders of pregnancy hence the present study. Methods: An analytical cross-sectional study was conducted. The structured checklist was used to extract data. HBP was measured two times on the right arm using an electronic device (OMRON HEM-7261) with an average of two readings. Patient records were used to collect secondary data from prenatal care visits and laboratory tests. We used simple random sampling methods to screen prenatal care records for pregnant women. All pregnant women at Parirenyatwa Group of Hospitals in 2022 were eligible and constituted our study population. The sample size was determined statistically by power analysis using epidemiological information, this yielded a sample of 240. The Prevalence of HBP in pregnancy and risk factors were determined by Fisher exact test Graph Pad (Prism version6.0), P &lt; 0.05 was set as statistically significant. Results: 240 pregnant women were enrolled given a prevalence of HBP of 25%. Most pregnant women having HBP are 36 to 40 years old and located in urban areas (92%, n = 55). Gestational age 33 % (n = 5), Gravida 3-4 (33%, n = 13) Parity 3-4 (74%, n = 25), and Multiple Pregnancy (25%, n = 5) were the most associated with HBP. Pre-existing hypertension was the most common comorbidity 92%.Family history of HBP (OR = 4.62, 95%, CI = 1.4-15.1), p = 0.016) and age being &lt; 30 years OR= 0.26, 95%, CI = 0.14-0.49), p = 0.0001) were associated with HBP. Conclusions: The prevalence of HBP in pregnancy was higher (25%) than the worldwide prevalence of 2.7% and risk factors are mainly age and family history of HBP.

Telehealth use and receipt of recommended services within one-year postpartum.

In obstetrics, telehealth is widely used in the provision of prenatal and postpartum care. The objective was to compare the utilization of commonly recommended services after delivery among individuals receiving telehealth versus in-person postpartum care. We performed a retrospective cohort study of individuals receiving postpartum care at a single institution between 1 July 2020 and 30 June 2023. The primary exposure was the exclusive use of telehealth versus an in-person visit for postpartum care. Two primary outcomes were assessed between 0 and 365 days after the delivery: 1) long-acting reversible contraceptive (LARC) method use and 2) pap smear screening. Secondary outcomes occurring between 0 and 365 days after delivery included: clinic-based weight assessment, clinic-based blood pressure assessment, any prescription contraception use, primary care visit, and pregnancy within 1 year. Among the 9953 individuals, 9058 (91.0%) had a postpartum visit. 1811 (19.9%) utilized telehealth exclusively, which peaked during the COVID-19 pandemic. Exclusive telehealth users were less likely to have a pap smear (21.6 vs. 40.1%, p < 0.001) or use LARCs (8.6 vs. 19.4%, p < 0.001) than those receiving in-person care. In the adjusted analysis, the odds ratio for receiving a pap smear was 0.38 (95% confidence interval [CI] 0.32-0.47) and for using a LARC was 0.38 (95% CI 0.31-0.47) when comparing telehealth to in-person care. Reduced odds of all secondary outcomes were seen in the exclusive telehealth use compared to the in-person cohort, with the exception of subsequent pregnancy within 1 year, which was not significantly different. Acknowledging that telehealth now has become an important means for patients to access medical care, these findings should prompt clinicians to consider when an in-person postpartum visit should be offered or recommended over telehealth, especially when a patient may not have a preference or reported barriers to accessing an in-person visit.

Comprehensive Monitoring System for High-Risk Pregnancies

Prenatal care protects the Health of both mother and baby, influencing the development and well-being of the mother-child duo. Risks during pregnancy, such as preeclampsia or gestational diabetes, can have long-term effects on the mother’s Health. Effective monitoring of pregnancy risks is essential for improving health outcomes. Therefore, we propose the development of an integrated high-risk pregnancy monitoring mobile application incorporating IoT sensors (smartwatches) to monitor critical biomedical variables. This allows healthcare professionals to collect and analyze data, reducing prenatal risks and improving maternal and fetal health outcomes. Functional and non-functional requirements were gathered and refined through continuous support and iterative meetings with an experienced gynecologist. We identified multiple functional requirements through user stories. Non-functional requirements were also collected to design the proposed architecture and comply with current legislation, prioritizing the security and privacy of biomedical data. We conducted Load tests on the proposed architecture, verifying the system’s quality attributes. Additionally, we carried out usability tests through interviews with a sample of ten pregnant women. Participants found the application intuitive and essential for monitoring their Health, and it could provide a constant source of confidence throughout their pregnancy. The proposed system could be a valuable tool for high-risk pregnancy monitoring. However, large and intensive clinical trials are essential to validate its effectiveness in real-life scenarios.

Association between consumption of ultra-processed foods and glycemic self-monitoring in women with gestational diabetes mellitus and their newborns: A cohort study.

To evaluate the association between the consumption of ultra-processed foods (UPFs) and outcomes of self-monitoring of blood glucose in pregnant woman with gestational diabetes mellitus (GDM) and the occurrence of hypoglycemia in their newborns. Prospective cohort study of pregnant woman with GDM who were followed up from the second trimester of pregnancy in high-risk prenatal care until the immediate postpartum period. Dietary intake was assessed using 24-h recalls and analyzed according to the Nova Classification. The glycemic profile was assessed by self-monitoring of fasting and postprandial capillary glycemia (pregnant) and by capillary glycemia in the first 48 h of life (neonate). Multilevel binary logistic regression models were used to assess the relationship between increasing UPF intake, considering the highest tertile of UPF consumption, and women's glycemic control and the occurrence of neonatal hypoglycemia. UPFs provided 15% of calories consumed; 33.3% (n = 30) and 52.3% (n = 45) of the women had hyperglycemia in the second and third trimesters of pregnancy, respectively. After adjustment it was observed that UPF consumption had no significant association with maternal glycemic control but it showed a positive association with the occurrence of neonatal hypoglycemia (odds ratio [OR] 1.144, 95% confidence interval [CI] 1.037-1.262, p = 0.007). These data reinforce the need to address food processing during high-risk prenatal care in order to help reduce the negative impacts of UPF consumption on the mother-infant dyad.

Factors influencing concurrent wasting, stunting, and underweight among children under five who suffered from severe acute malnutrition in low- and middle-income countries: a systematic review

BackgroundWasting, stunting, and underweight in children are complex health challenges shaped by a combination of immediate, underlying, and systemic factors. Even though copious data demonstrates that the causation routes for stunting and wasting are similar, little is known about the correlations between the diseases in low- and middle-income nations.ObjectiveThe objective of this study is to evaluate the factors that concurrently affect wasting, stunting, and underweight in &amp;lt;5-year-olds with severe acute malnutrition (SAM).MethodThis review adhered to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. We searched every electronic database that was available, from the medRxiv pre-print site, PubMed, MEDLINE, EMBASE, Cochrane Library, Web of Science, PsycINFO, CINAHL, Google Scholar, and Scopus, in addition to the Science Direct search engine. We considered research conducted in low- and middle-income nations on &amp;lt;5-year-olds with SAM. The Newcastle Ottawa Scale was used to assess the quality of the studies.ResultsAfter screening and selecting 12 eligible studies, 1,434,207 records were included for analysis. The prevalence of factors influencing concurrent wasting, stunting, and being underweight was 26.42% in low-middle -income countries (LMI). The prevalence was higher in men, with wasting, stunting, and underweight at 14.2, 4.1, and 27.6%, respectively. Unprotected drinking water was associated with stunting [odds ratio = 0.68; 95CI (0.50, 0.92)]. Being male is another factor (aOR = 2.04, 95% CI: 1.13, 3.68). Lack of prenatal care follow-up was associated with a lower risk of wasting (OR = 2.20, 95% CI: 1.04, 4.64), while low birth weight (&amp;lt;2.5 kg), diarrhea, having a younger child, and being from a poor household were associated with wasting, stunting, and underweight. Other factors included body mass index (BMI) for age aOR = 2.11, 95% CI: (0.07, 0.895); maternal education: stunting [aOR = 1.52, 95% CI: (0.09, 0.89)], underweight [aOR = 1.97, 95% CI: (0.01, 0.73)], and open defecation, stunting [aOR = 1.62, 95% CI: (0.06, 0.32)], underweight [aOR = 1.92, 95% CI: (0.042, 0.257)]). Likelihood of being underweight increased with birth order (second born, aOR = 1.92, 95% CI 1.09–3.36; third born, aOR = 6.77, 95% CI 2.00–22.82).ConclusionInadequate dietary intake, illness, food insecurity, poor maternal and child care, poor hygiene and sanitation, and healthcare inaccessibility contribute to SAM.

The Causal Effect of Increasing Area-Level Income on Birth Outcomes and Pregnancy-Related Health: Estimates From the Marcellus Shale Boom Economy.

Income is positively correlated with pregnancy health and birth outcomes, but the causal evidence for this association is limited. Leveraging a natural experiment based on the Pennsylvania boom economy created by the extraction of natural gas from the Marcellus Shale geological formation, we test whether area-level income gains impact birth outcomes (birth weight, gestational length, and preterm birth) and pregnancy health (prepregnancy and prenatal smoking, prepregnancy weight status, gestational weight gain, and the timing and adequacy of prenatal care). We append tax data to birth certificate data and compare health outcomes before and after the boom for births occurring in school districts above the Marcellus Shale. We also explore income effects with a subsample of siblings and test for nonlinear income effects by considering preboom district poverty rates. Using instrumented difference-in-differences models, we find that plausibly exogenous income gains increase the likelihood of having adequate prenatal care in the full sample. In the sibling sample, income gains decrease the likelihood of low birth weight but increase the likelihood of prepregnancy underweight among birthing parents. Results are statistically significant in initially high-poverty districts. We thus affirm prior findings of a causal effect of income on birth weight and prenatal care use but find minimal area-level income effects on other pregnancy-related health behaviors and birth outcomes.