Antenatal depression and associated factors among pregnant women attending antenatal care at public health facilities in the Gida Ayana district, Oromia Region, West Ethiopia, in 2022

Background

Though antenatal depression (AND) has a risk of maternal and fetal morbidity and mortality, it is a neglected component of pregnancy care in Ethiopia. Research evidence is compulsory in different parts of the country to alleviate this problem. Thus, this study was needed to assess antenatal depression and its associated factors, which can help antenatal care (ANC) providers and program coordinators focus on the mental health of pregnant mothers.

Objectives

This study aimed to assess antenatal depression and associated factors among pregnant women attending ANC at public health facilities in the Gida Ayana district, Oromia Region, West Ethiopia, in 2022.

Methods

A facility-based cross-sectional study was conducted among 370 pregnant women attending ANC at public health facilities. Systematic random sampling techniques were used to select study participants. A standard (validated) tool, the Edinburgh Postnatal Depression Scale, was also used to assess antenatal depression. The collected data were coded, entered into Epi-data software version 4.6, and analyzed by SPSS version 23. Multivariable logistic regression analyses were used to identify associated factors with a p-value <0.05.

Results

In this study, the prevalence of antenatal depression was 62 (16.8%; 95% CI: 13, 20.5). Being single in marital status (AOR = 3, 95% CI: 1.5, 6.2), having an unplanned pregnancy (AOR = 2.7, 95% CI: 1.45, 5.1), and having partner conflict (AOR = 3.49, 95% CI: 1.79, 6.8) were the factors associated with antenatal depression.

Conclusion

About one in five pregnant women has antenatal depression. Being single, having an unplanned pregnancy, and having a dissatisfied relationship with a sexual partner were the factors associated with antenatal depression. Therefore, women or partners are expected to plan pregnancy, and the dissemination of health information related to an unplanned pregnancy needs to be intensified by health providers. The partner ought to avoid conflict during the pregnancy, and healthcare providers or families are needed to support the single or widowed pregnant women. Further prospective cohort studies are needed to ascertain the effect of antenatal depression on fetal-maternal outcomes.

Treatment with valacyclovir during pregnancy for prevention of congenital cytomegalovirus infection: a real-life multicenter Italian observational study

BACKGROUND

Valacyclovir is the only treatment demonstrated to be effective for the prevention of vertical transmission of cytomegalovirus within a clinical randomized, placebo-controlled trial and has been reimbursed by the Italian National Health System since December 2020.

OBJECTIVE

This study reported the results of a real-life Italian multicenter observational study on cytomegalovirus infection in pregnancy evaluating the effect of the introduction of valacyclovir in the clinical practice for the prevention of vertical transmission of cytomegalovirus.

STUDY DESIGN

The outcomes of women who received valacyclovir treatment and their fetuses or newborns were compared with those of a retrospective cohort observed between 2010 and 2020 who did not receive the antiviral treatment. The inclusion criterion was the diagnosis of cytomegalovirus primary infection occurring in the periconceptional period or up to 24 weeks of gestation. The primary outcome was the transmission by the time of amniocentesis. The secondary outcomes were termination of pregnancy, transmission at birth, symptomatic infection at birth, and a composite outcome (termination of pregnancy or transmission at birth).

RESULTS

A total of 447 pregnant women from 10 centers were enrolled, 205 women treated with valacyclovir (called the valacyclovir group, including 1 twin pregnancy) and 242 women not treated with valacyclovir (called the no-valacyclovir group, including 2 twin pregnancies). Valacyclovir treatment was significantly associated with a reduction of the diagnosis of congenital cytomegalovirus infection by the time of amniocentesis (weighted odds ratio, 0.39; 90% confidence interval, 0.22-0.68; P=.005; relative reduction of 61%), termination of pregnancy (weighted odds ratio, 0.36; 90% confidence interval, 0.17-0.75; P=.0021; relative reduction of 64%), symptomatic congenital cytomegalovirus infection at birth (weighted odds ratio, 0.17; 90% confidence interval, 0.06-0.49; P=.006; relative reduction of 83%). The treatment had no significant effect on the rate of diagnosis of congenital cytomegalovirus infection at birth (weighted odds ratio, 0.85; 90% confidence interval, 0.57-1.26; P=.500), but the composite outcome (termination of pregnancy or diagnosis of congenital cytomegalovirus infection at birth) occurred more frequently in the no-valacyclovir group (weighted odds ratio, 0.62; 90% confidence interval, 0.44-0.88; P=.024). Of note, the only symptomatic newborns with congenital cytomegalovirus infection in the valacyclovir group (n=3) were among those with positive amniocentesis. Moreover, 19 women (9.3%) reported an adverse reaction to valacyclovir treatment, classified as mild in 17 cases and moderate in 2 cases. Lastly, 4 women (1.9%) presented renal toxicity with a slight increase in creatinine level, which was reversible after treatment suspension.

CONCLUSION

Our real-life data confirm that valacyclovir significantly reduces the rate of congenital cytomegalovirus diagnosis at the time of amniocentesis with a good tolerability profile and show that the treatment is associated with a reduction of termination of pregnancy and symptomatic congenital cytomegalovirus infection at birth.

Delivery outcomes in a cohort of pregnant patients with COVID-19 with and without viral pneumonia

BACKGROUND

Among pregnant people, COVID-19 can lead to adverse outcomes, but the specific pregnancy outcomes that are affected by the disease are unclear. In addition, the effect of the severity of COVID-19 on pregnancy outcomes has not been clearly identified.

OBJECTIVE

This study aimed to evaluate the associations between COVID-19 with and without viral pneumonia and cesarean delivery, preterm delivery, preeclampsia, and stillbirth.

STUDY DESIGN

We conducted a retrospective cohort study (April 2020-May 2021) of deliveries between 20 and 42 weeks of gestation from US hospitals in the Premier Healthcare Database. The primary outcomes were cesarean delivery, preterm delivery, preeclampsia, and stillbirth. We used a viral pneumonia diagnosis (International Classification of Diseases -Tenth-Clinical Modification codes J12.8 and J12.9) to categorize patients by severity of COVID-19. Pregnancies were categorized into 3 groups: NOCOVID (no COVID-19), COVID (COVID-19 without viral pneumonia), and PNA (COVID-19 with viral pneumonia). Groups were balanced for risk factors by propensity-score matching.

RESULTS

A total of 814,649 deliveries from 853 US hospitals were included (NOCOVID: n=799,132; COVID: n=14,744; PNA: n=773). After propensity-score matching, the risks of cesarean delivery and preeclampsia were similar in the COVID group compared with the NOCOVID group (matched risk ratio, 0.97; 95% confidence interval, 0.94-1.00; and matched risk ratio, 1.02; 95% confidence interval, 0.96-1.07; respectively). The risks of preterm delivery and stillbirth were greater in the COVID group than in the NOCOVID group (matched risk ratio, 1.11; 95% confidence interval, 1.05-1.19; and matched risk ratio, 1.30; 95% confidence interval, 1.01-1.66; respectively). The risks of cesarean delivery, preeclampsia, and preterm delivery were higher in the PNA group than in the COVID group (matched risk ratio, 1.76; 95% confidence interval, 1.53-2.03; matched risk ratio, 1.37; 95% confidence interval, 1.08-1.74; and matched risk ratio, 3.33; 95% confidence interval, 2.56-4.33; respectively). The risk of stillbirth was similar in the PNA and COVID group (matched risk ratio, 1.17; 95% confidence interval, 0.40-3.44).

CONCLUSION

Within a large national cohort of hospitalized pregnant people, we found that the risk of some adverse delivery outcomes was elevated in people with COVID-19 with and without viral pneumonia, with much higher risks in the group with viral pneumonia.

Prevalence of Selective Serotonin Reuptake Inhibitor Use Among Pregnant Women From 2017 to 2020 in King Abdulaziz Medical City, Jeddah, Saudi Arabia: A Retrospective Study

BACKGROUND

Perinatal depression is a mental health disorder that is associated with feelings of hopelessness, despair, and lack of motivation. Its effects on pregnant women are not limited to hemorrhage and hypertension and may lead to maternal mortality. As a result, maternal antidepressant usage during pregnancy has rapidly increased in the United States. Selective serotonin reuptake inhibitors (SSRIs) are considered one of the most prescribed antidepressants. Thus, this study aims to measure the prevalence of SSRI use during pregnancy.

METHODS

A retrospective cross-sectional study was carried out in King Abdulaziz Medical City, Jeddah (KAMC-J), Saudi Arabia. The population consisted of all pregnant women aged 18 or older from the period of January 2017 to December 2020 (N=13484). The sampling technique was non-probability consecutive sampling.

RESULTS

The study included 13,484 pregnant women, and further analysis revealed that 62 (0.459%) were exposed to at least one type of antidepressant during pregnancy. Of these, 12 (19.35%) had used more than one class of antidepressants. The majority of the sample, comprising 39 (62.90%) women, were between 34 and 44 years old. Furthermore, SSRIs were found to be the most commonly used antidepressant (41, 66.13%). In addition, fluoxetine was the most frequently prescribed antidepressant, with 23 (37.10%) patients receiving this medication. The dosage did not exceed 20 mg for the majority of the patients on SSRIs.

CONCLUSION

This study measured the prevalence and patterns of SSRIs and use of different antidepressant classes during pregnancy. After calculating the prevalence of each class of antidepressants among 62 pregnant women exposed to antidepressants, the analysis concluded that SSRIs are the most prescribed antidepressant during pregnancy. This study contributes to the growing body of literature on the use of antidepressants during pregnancy and highlights the need for ongoing research in this area.

Factors Affecting Women's Attitudes Toward the Use of Epidural Anesthesia During Labor in Riyadh in 2023

Background Epidural analgesia (EA) is a type of central nerve block achieved by injecting a local anesthetic near the pain-transmitting nerves. It is commonly used to relieve pain during labor. The intensity of pain experienced and the effectiveness of pain relief can affect a woman's labor and delivery experience. Labor pain is a long-lasting and debilitating pain that women experience; therefore, pain relief techniques have become widely available. However, not all women are willing to use EA for pain relief. The factors that influence women's choices regarding EA should be explored. This study aimed to comprehend women's perspectives on EA in Riyadh and clarify the variables influencing their decision-making. Methodology A total of 336 women in their reproductive years participated in this study. An online questionnaire with five sections was used to collect data. The socio-demographic information in the first section covered age, level of education, occupation, income, marital status, pregnancy, maternity, and prenatal care. The second section focused on how painful labor was for women who had already given birth. The third and fourth sections discussed labor pain relief techniques, including epidural anesthesia. The final section assessed the participant's interest in receiving EA during the next delivery. Socio-demographic data were considered to be a predictor, whereas awareness levels and a desire to receive EA were seen as results. The information was cleaned, coded, and entered into SPSS version 29 (IBM Corp., Armonk, NY, USA). The results are presented as frequencies and percentages. A Likert scale was used for data analysis. Statistical significance was established at p-values <0.05. Results In total, 336 Saudi women were included in this study, 86% of whom were between the ages of 30 and 35 years, and 69% of whom had a university education. One-third of the women (32%) had a monthly income of 10,000 to 20,000 SAR, and 55% of them had experienced three or more pregnancies. Fear of pain was the main reason for using epidural anesthesia in more than half of the participants given the choice. The most reinforcing factor was obtaining proper and sufficient information about EA, while the most restrictive factor was the fear of harming the infant. In particular, women aged 30-35 years (i.e., most of the included women) were commonly influenced by negative factors. Marital status and educational level played no significant role in women's use of EA. Conclusions Saudi women showed a good attitude toward EA. However, the awareness of EA was quite low. Fear of labor pain appeared to be the main reason for using EA. Health education programs on EA can increase the knowledge of and intent to use EA among women.

The Psychosocial Profile of Women Who Defaulted Option B+ HIV Treatment: An Interpretive Phenomenological Analysis Study

Purpose

The study explored the psychosocial profile of women who defaulted Option B+ HIV treatment at Chitungwiza Municipality clinics in Zimbabwe. Option B+ is a strategy to prevent mother-to-child transmission (PMTCT) of HIV to reduce MTCT rate to less than or equal to 5%.

Methods

An interpretive phenomenological analysis (IPA) design was used. Data were collected from 04 September to 12 October 2020 on twelve purposively selected HIV-positive breastfeeding women aged 18 to 40 years, who defaulted Option B+ HIV treatment. Unstructured individual face-to-face interviews were utilised. Data were analysed thematically using the interpretive phenomenological analysis framework for data analysis.

Results

The study findings revealed that participants experienced the following: psychosocial and emotional challenges due to HIV positive results, shown emotional distress and suicidal tendencies which affected their mental health. Their relationship was derailed due to abuse, infidelity, partner's high-risk behaviour and to lack of support stemming from their partners and family members.

Conclusion

Strengthening adherence support interventions and effective counselling on HIV-positive status disclosure and male partner involvement is important for retaining women in care and for improving their quality of life. Comprehensive, integrated, and tailor-made interventions should be adopted. Couple HIV counselling and testing should be encouraged. Psychosocial and mental health should be encouraged. Furthermore, community sensitization, risk reduction behaviour, education on purpose and side effects of ART as well as the benefits of Option B+ to new enrolments should be intensified and strengthened to minimize defaulting of treatment and LTFUP. Vigorous patient tracing and visit reminders help retain women in care.

Testing for Hepatitis C During Pregnancy Among Persons With Medicaid and Commercial Insurance: Cohort Study

BACKGROUND

The reported incidence of acute hepatitis C virus (HCV) infection is increasing among persons of childbearing age in the United States. Infants born to pregnant persons with HCV infection are at risk for perinatal HCV acquisition. In 2020, the United States Preventive Services Task Force and Centers for Disease Control and Prevention recommended that all pregnant persons be screened during each pregnancy for hepatitis C. However, there are limited data on trends in hepatitis C testing during pregnancy.

OBJECTIVE

We estimated hepatitis C testing rates in a large cohort of patients with Medicaid and commercial insurance who gave birth during 2015-2019 and described demographic and risk-based factors associated with testing.

METHODS

Medicaid and commercial insurance claims for patients aged 15-44 years and who gave birth between 2015 and 2019 were included. Birth claims were identified using procedure and diagnosis codes for vaginal or cesarean delivery. Hepatitis C testing was defined as an insurance claim during the 42 weeks before delivery. Testing rates were calculated among patients who delivered and among the subset of patients who were continuously enrolled for 42 weeks before delivery. We also compared the timing of testing relative to delivery among patients with commercial or Medicaid insurance. Multivariable logistic regression was used to identify factors associated with testing.

RESULTS

Among 1,142,770 Medicaid patients and 1,207,132 commercially insured patients, 175,223 (15.3%) and 221,436 (18.3%) were tested for hepatitis C during pregnancy, respectively. Testing rates were 89,730 (21.8%) and 187,819 (21.9%) among continuously enrolled Medicaid and commercially insured patients, respectively. Rates increased from 2015 through 2019 among Medicaid (from 20,758/108,332, 19.2% to 13,971/52,330, 26.8%) and commercially insured patients (from 38,308/211,555, 18.1% to 39,152/139,972, 28%), respectively. Among Medicaid patients, non-Hispanic Black (odds ratio 0.73, 95% CI 0.71-0.74) and Hispanic (odds ratio 0.53, 95% CI 0.51-0.56) race or ethnicity were associated with lower odds of testing. Opioid use disorder, HIV infection, and high-risk pregnancy were associated with higher odds of testing in both Medicaid and commercially insured patients.

CONCLUSIONS

Hepatitis C testing during pregnancy increased from 2015 through 2019 among patients with Medicaid and commercial insurance, although tremendous opportunity for improvement remains. Interventions to increase testing among pregnant persons are needed.

Histological Alterations in Placentas of Pregnant Women with SARS-CoV-2 Infection: A Single-Center Case Series

This study aimed to investigate the histopathological changes associated with SARS-CoV-2 infection in placentas. A case series of anatomopathological analysis was conducted on the placentas of pregnant women with SARS-CoV-2 who delivered between March and December 2020 at Santo Amaro Hospital (HSA) in Salvador, Brazil. Out of the 29 placentas examined, the median weight was 423.0 (IQR: 385.0-521.0) g. Among them, 58.3% (n = 14) had inadequate weight relative to the newborn's weight. The histopathological findings revealed that 86.2% (n = 25) of the placentas had poorly defined lobes, and the fetal and maternal surface color was normal in 89.7% (n = 26) and 93.1% (n = 27), respectively. Additionally, 51.7% (n = 15) of the umbilical cords displayed hypercoiling. The most frequent microscopic finding was infarction, present in 35.3% (n = 6) of the cases, followed by 11.8% (n = 2) for each of chorioamnionitis, chronic villitis, focal perivillositis, and laminar necrosis. Analysis of the umbilical cords identified 23.5% (n = 4) cases of intervillous thrombosis, while amnion analysis showed 13.8% (n = 4) cases of squamous metaplasia. Extraplacental membrane examination revealed fibrin deposition in 93.1% (n = 27) of the cases, necrosis in 62.0% (n = 18), calcifications in 51.7% (n = 15), cysts in 37.9% (n = 11), neutrophilic exudate in 17.2% (n = 5), thrombosis in 13.7% (n = 4), and delayed placental maturation in 6.9% (n = 2). All analyzed placentas exhibited histopathological changes, primarily vascular and inflammatory, which indicate SARS-CoV-2 infection in term pregnancies. These alterations could be associated with impaired placental function, fetal growth restriction, preeclampsia, and prematurity. However, further prospective studies are required to validate the type, prevalence, and prognosis of each of these changes.

Effects of Pregnancy on Plasma Sphingolipids Using a Metabolomic and Quantitative Analysis Approach

Changes in the maternal metabolome, and specifically the maternal lipidome, that occur during pregnancy are relatively unknown. The objective of this investigation was to evaluate the effects of pregnancy on sphingolipid levels using metabolomics analysis followed by confirmational, targeted quantitative analysis. We focused on three subclasses of sphingolipids: ceramides, sphingomyelins, and sphingosines. Forty-seven pregnant women aged 18 to 50 years old participated in this study. Blood samples were collected on two study days for metabolomics analysis. The pregnancy samples were collected between 25 and 28 weeks of gestation and the postpartum study day samples were collected ≥3 months postpartum. Each participant served as their own control. These samples were analyzed using a Ultra-performance liquid chromatography/mass spectroscopy/mass spectroscopy (UPLC/MS/MS) assay that yielded semi-quantitative peak area values that were used to compare sphingolipid levels between pregnancy and postpartum. Following this lipidomic analysis, quantitative LC/MS/MS targeted/confirmatory analysis was performed on the same study samples. In the metabolomic analysis, 43 sphingolipid metabolites were identified and their levels were assessed using relative peak area values. These profiled sphingolipids fell into three categories: ceramides, sphingomyelins, and sphingosines. Of the 43 analytes measured, 35 were significantly different during pregnancy (p < 0.05) (including seven ceramides, 26 sphingomyelins, and two sphingosines) and 32 were significantly higher during pregnancy compared to postpartum. Following metabolomics, a separate quantitative analysis was performed and yielded quantified concentration values for 23 different sphingolipids, four of which were also detected in the metabolomics study. Quantitative analysis supported the metabolomics results with 17 of the 23 analytes measured found to be significantly different during pregnancy including 11 ceramides, four sphingomyelins, and two sphingosines. Fourteen of these were significantly higher during pregnancy. Our data suggest an overall increase in plasma sphingolipid concentrations with possible implications in endothelial function, gestational diabetes mellitus (GDM), intrahepatic cholestasis of pregnancy, and fetal development. This study provides evidence for alterations in maternal sphingolipid metabolism during pregnancy.

Evaluating the use of oral pre-exposure prophylaxis among pregnant and postpartum adolescent girls and young women in Cape Town, South Africa

Background

Adolescent girls and young women (AGYW) in South Africa are at a higher risk of acquiring HIV. Despite the increasing availability of daily oral pre-exposure prophylaxis (PrEP) for HIV prevention, knowledge on PrEP use during pregnancy and postpartum periods at antenatal care (ANC) facilities remains inadequate.

Methods

Data from HIV-uninfected pregnant women in Cape Town, South Africa, were used in this study. These women aged 16-24 years were enrolled in the PrEP in pregnancy and postpartum (PrEP-PP) cohort study during their first ANC visit. Using the PrEP cascade framework, the outcomes of the study were PrEP initiation (prescribed tenofovir disoproxil fumarate and emtricitabine at baseline), continuation (returned for prescription), and persistence [quantifiable tenofovir diphosphate (TFV-DP) in dried blood samples]. The two primary exposures of this study were risk perception for HIV and baseline HIV risk score (0-5), which comprised condomless sex, more than one sexual partner, partner living with HIV or with unknown serostatus, laboratory-confirmed sexually transmitted infections (STIs), and hazardous alcohol use before pregnancy (Alcohol Use Disorders Identification Test for Consumption score ≥ 3). Logistic regression was used to examine the association between HIV risk and PrEP, adjusting for a priori confounders.

Results

A total of 486 pregnant women were included in the study, of which 16% were "adolescents" (aged 16-18 years) and 84% were "young women" (aged 19-24 years). The adolescents initiated ANC later than the young women [median = 28 weeks (20-34) vs. 23 weeks (16-34), p = 0.04]. Approximately 41% of the AGYW were diagnosed with sexually transmitted infection at baseline. Overall, 83% of the AGYW initiated PrEP use during their first ANC. The percentage of PrEP continuation was 63% at 1 month, 54% at 3 months, and 39% at 6 months. Approximately 27% consistently continued PrEP use through 6 months, while 6% stopped and restarted on PrEP use at 6 months. With a higher risk score of HIV (≥2 vs. ≤1), the AGYW showed higher odds of PrEP continuation [adjusted odds ratio: 1.85 (95% CI: 1.12-3.03)] through 6 months, adjusting for potential confounders. Undergoing the postpartum period (vs. pregnant) and having lower sexual risk factors were found to be the barriers to PrEP continuation. TFV-DP concentration levels were detected among 49% of the AGYW, and 6% of these women had daily adherence to PrEP at 3 months.

Conclusions

AGYW were found to have high oral PrEP initiation, but just over one-third of these women continued PrEP use through 6 months. Pregnant AGYW who had a higher risk of acquiring HIV (due to condomless sex, frequent sex, and STIs) were more likely to continue on PrEP use through the postpartum period. Pregnant and postpartum AGYW require counseling and other types of support, such as community delivery and peer support to improve their effective PrEP use through the postpartum period.

Clinical Trial Number

ClinicalTrials.gov, NCT03826199.

Utilization of preconception care and associated factors among pregnant mothers in Fiche Town, Central Ethiopia: a community-based cross-sectional study 2021

Introduction

Preconception care is an important preventive intervention for adverse pregnancy outcomes. It is recognized as a strategy to optimize women's health and pregnancy outcomes in Western countries. However, preconception care is underutilized in sub-Saharan Africa, like Ethiopia, where maternal mortality is high. Evidence is scarce in the study area about the prevalence and factors associated with preconception care utilization. Therefore this study aimed to assess the proportion of preconception care utilization and associated factors among pregnant mothers in Fiche town, central Ethiopia, 2021.

Method

A community-based cross-sectional study was done from May 10 to June 25, 2021. A systematic random sample technique was used to choose 393 pregnant women for the study. A structured, pre-tested, interviewer-administered questionnaire was used to collect data. The data were entered into Epi Data version 3.1 and then exported into SPSS version 25 for analysis. A Bivariable and multivariable logistic regression analysis was used to check for the association. Odds ratio along with 95% was used to describe the association. Finally, a significant association was declared at a p-value less than 0.05.

Results

388 respondents participated in this study, making the response rate 98.7%. Of total study participants only 84 (21.6%; 95% CI, 18, 25.8) utilized preconception care. The study found that diploma or higher level of education (AOR = 3.47, 95% CI: 1.27, 9.53), psychological and financial support from a partner (AOR = 3.86, 95% CI: 2.1, 7.10), joint discussion and plan with a partner (AOR = 3.32, 95% CI: 1.55, 7.13), history of chronic disease (AOR = 3.47, 95% CI: 1.67, 7.25), and good knowledge about preconception care (AOR = 2.42, 95% CI: 1.34, 4.38) were significantly associated with preconception care utilization.

Conclusions

Overall, less than a quarter of the pregnant mothers utilized preconception care, indicating that awareness is very low. Pregnant mothers who have a higher educational level, have good communication and support from their partners, have chronic health problems, and have good knowledge about preconception care were more likely to utilize the service. Preconception care is a better opportunity to intervene and maintain the mother in the continuum of care.

Iron supplements in pregnant women with normal iron status: A systematic review and meta-analysis

INTRODUCTION

Effects of daily iron supplementation in iron replete pregnancy are unclear. This systematic review aimed to assess benefits and harms of oral iron supplements in pregnant women without anemia and iron deficiency.

MATERIAL AND METHODS

We predefined and registered a protocol in PROSPERO (CRD42020186210) and performed the review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology. We searched for randomized clinical trials (RCTs) and observational studies comparing daily oral iron supplementation with no iron supplements in non-anemic iron replete pregnant women. Searches were conducted in MEDLINE (by PubMed), EMBASE (by OVID), Cochrane Library, and ClinicalTrials.gov from inception to September 2022 without language restrictions. Two authors independently screened records, extracted data, and assessed risk of bias using the revised Cochrane risk of bias tool (RoB2). One author read full-texts, assessed certainty of evidence by GRADE and conducted meta-analyses using a random-effects model. Primary outcomes included iron deficiency anemia, iron deficiency, hemoglobin >130 g/L, elevated iron status, small for gestational age newborns, low birthweight newborns, preterm birth, and congenital anomalies.

RESULTS

Eight RCTs (2822 women) but no observational studies were eligible for inclusion. Daily oral iron supplementation in pregnancy probably reduces iron deficiency anemia at term (risk ratio [RR]: 0.51, 95% confidence interval [CI]: 0.38-0.70; 4 RCTs, 1670 women; I2  = 13%; moderate-certainty evidence) and the incidence of low birthweight babies (RR: 0.30, 95% CI: 0.13-0.68; 2 RCTs, 361 infants; I2  = 0%; moderate-certainty evidence). In addition, it may reduce iron deficiency at term (RR: 0.74, 95% CI: 0.60-0.92; 4 RCTs, 1663 women; I2  = 58%; low-certainty evidence) and the incidence of small for gestational age babies (RR: 0.39, 95% CI: 0.17-0.86; 1 RCT, 213 infants; I2 not estimable; low-certainty evidence).

CONCLUSIONS

Daily iron supplementation in iron replete non-anemic pregnant women probably reduces the risk of maternal iron deficiency anemia at term and low birthweight.

A Web-Based Intervention to Address Risk Factors for Maternal Morbidity and Mortality (MAMA LOVE): Development and Evaluation Study

Background

Maternal mortality in the United States is a public health crisis and national emergency. Missed or delayed recognition of preventable life-threatening symptoms and untimely treatment of preventable high-risk medical conditions have been cited as key contributors to the nation's worsening mortality rates. Effective strategies are urgently needed to address this maternal health crisis, particularly for Black birthing populations. Morbidity and Mortality Assessment: Lifting Outcomes Via Education (MAMA LOVE) is a web-based platform that focuses on the identification of maternal morbidity and mortality risk factors.

Objective

The purpose of this paper is to present the conceptualization, development, heuristics, and utility evaluation of the web-based maternal mortality risk assessment and educational tool MAMA LOVE.

Methods

A user-centered design approach was used to gain feedback from clinical experts and potential end users to ensure that the tool would be effective among groups most at risk for maternal morbidity and mortality. A heuristic evaluation was conducted to evaluate usability and need within the current market. Algorithms describing key clinical, mental health, and social conditions were designed using digital canvas software (Miro) and incorporated into the final wireframes of the revised prototype. The completed version of MAMA LOVE was designed in Figma and built with the SurveyJS platform.

Results

The creation of the MAMA LOVE tool followed three distinct phases: (1) the content development and creation of an initial prototype; (2) the feedback gathering and usability assessment of the prototype; and (3) the design, development, and testing of the final tool. The tool determines the corresponding course of action using the algorithm developed by the authors. A total of 38 issues were found in the heuristic evaluation of the web tool's initial prototype.

Conclusions

Maternal morbidity and mortality is a public health crisis needing immediate effective interventions. In the current market, there are few digital resources available that focus specifically on the identification of dangerous symptoms and risk factors. MAMA LOVE is a tool that can address that need by increasing knowledge and providing resources and information that can be shared with health care professionals.

Effects of the Pregnancy and Newborn Diagnostic Assessment (PANDA) App on Antenatal Care Quality in Burkina Faso: Protocol for a Cluster Randomized Controlled Trial

BACKGROUND

The Pregnancy and Newborn Diagnostic Assessment (PANDA) system is a digital clinical decision support tool that can facilitate diagnosis and decision-making by health care personnel in antenatal care (ANC). Studies conducted in Madagascar and Burkina Faso showed that PANDA is a feasible system acceptable to various stakeholders.

OBJECTIVE

This study primarily aims to evaluate the effects of the PANDA system on ANC quality at rural health facilities in Burkina Faso. The secondary objectives of this study are to test the effects of the PANDA system on women's satisfaction, women's knowledge on birth preparedness and complication readiness, maternal and child health service use, men's involvement in maternal health service utilization, and women's contraception use at 6 weeks postpartum. Further, we will identify the factors that hinder or promote such an app and contribute to cost-effectiveness analysis.

METHODS

This is a randomized controlled trial implementing the PANDA system in 2 groups of health facilities (intervention and comparison groups) randomized using a matched-pair method. We included pregnant women who were <20 weeks pregnant during their first antenatal consultation in health facilities, and we followed up with them until their sixth week postpartum. Thirteen health centers were included, and 423 and 272 women were enrolled in the intervention and comparison groups, respectively. The primary outcome is a binary variable derived from the quality score, coded 1 (yes) for women with at least 75% of the total score and 0 if not. Data were collected electronically using tablets by directly interviewing the women and by extracting data from ANC registers, delivery registers, ANC cards, and health care records. The study procedures were standardized across all sites. We will compare unadjusted and adjusted primary outcome results (ANC quality scores) between the 2 study arms. We added a qualitative evaluation of the implementation of the PANDA system to identify barriers and catalysts. We also included an economic evaluation to determine whether the PANDA strategy is more cost-effective than the usual ANC strategy.

RESULTS

The enrollment ran from July 2020 to January 2021 due to the COVID-19 pandemic. Data collection ended in September 2022. Data analyses started in January 2023, ended in June 2023, and the results are expected to be published in February 2024.

CONCLUSIONS

The PANDA system is one of the most comprehensive apps for ANC because it has many features. However, the use of computerized systems for ANC is limited. Therefore, our trial will be beneficial for evaluating the intrinsic capacity of the PANDA system to improve the quality of care. By including qualitative research and economic evaluation, our findings will be significant because electronic consultation registries are expected to be used for maternal health care in the future in Burkina Faso.

TRIAL REGISTRATION

Pan-African Clinical Trials Registry (PACTR) PACTR202009861550402; https://pactr.samrc.ac.za/TrialDisplay.aspx?TrialID=12374.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/37136.

Barriers to adequate nutrition in pregnant adolescent Colombian females

Pregnant adolescent females face nutritional challenges. The nutritional demands of a growing fetus, when added to the requirements for growing adolescent bodies, are risk factors for undernutrition. An adolescent expectant mother's nutritional status therefore affects both the mother's and the child's future growth, development, and potential development of diseases later in life. In Colombia, the rate of female adolescent pregnancies is higher than neighboring countries and the global average. The most recent data suggest that approximately 21 % of all pregnant adolescent females in Colombia are underweight, 27 % suffer from anemia, 20 % suffer from vitamin D deficiency, and 19 % suffer from vitamin B12 deficiency. Contributing factors to these nutritional deficiencies during pregnancy may be the region in which the female lives, the female's ethnicity, and the female's socioeconomic and educational status. In rural parts of Colombia, limitations regarding access to prenatal care and food choices that include animal source proteins may also contribute to nutritional deficiencies. To help remedy this, recommendations include encouraging nutrient dense food sources with higher protein content, eating one additional meal per day, and taking a prenatal vitamin throughout the pregnancy. Making healthy eating choices can be difficult for adolescent females with limited resources and education; therefore, it is recommended that discussions about nutrition begin at the first prenatal visit for optimum benefits. These factors should be considered for the development of future health policies and interventions in Colombia and other low-income and middle-income countries where pregnant adolescent females may be experiencing similar nutritional deficiencies.

Assessment of Thyroid Dysfunction Among Pregnant Women With Pre-Existing Diabetes Mellitus or Gestational Diabetes Mellitus

Objective This study investigates the prevalence and risk of thyroid disturbances in pregnant women with pre-existing diabetes mellitus (DM) or gestational diabetes mellitus (GDM) in a tertiary hospital setting in Riyadh, SA. This research's findings may help identify potential risk factors associated with thyroid disturbances during pregnancy and facilitate early diagnosis for at-risk pregnant women. Subjects and methods A retrospective cross-sectional study was conducted at an endocrinology clinic between October 2018 and December 2021 to evaluate the electronic records of pregnant women with DM or GDM who had documented normal thyroid function before pregnancy. Results Three hundred ninety-six files that met the selection criteria were deeply investigated and analyzed. The analysis showed that 378 (95.5%) patients were of Saudi nationality, and the mean age in years ± SD for the selected patients was 34.23 ± 5.468. The prevalence of obesity was 63.7%, with a mean body mass index (BMI) of 32.78 ± 6.78 kg/m2. The patients in this study were categorized into three groups based on their type of DM: 57 were diagnosed with type 1 DM (14.4%), 120 with type 2 DM (30.3%), and 219 with GDM (55.3%). The study identified 43 patients (10.85%) with subclinical hypothyroidism and 74 (18.69%) with hypothyroidism. Among the remaining patients, thyroid function was within the normal range for 264 (66.67%). The study also identified eight patients (2.02%) with subclinical hyperthyroidism and seven (1.77%) with hyperthyroidism. The prevalence of thyroid dysfunction was reported at 33.4%, with most of the dysfunction observed in the GDM group (20.7%). By comparison, the type 1 DM and type 2 DM groups presented a lower prevalence of thyroid dysfunction, accounting for only 4.1% and 8.6%, respectively. Conclusions Hypothyroidism, both clinical and subclinical, is more prevalent among patients with GDM than individuals with type 1 and type 2 DM. Research suggests a greater risk of developing hypothyroidism in patients with an increased BMI and among those older during pregnancy.

Predicting Fetal Alcohol Spectrum Disorders Using Machine Learning Techniques: Multisite Retrospective Cohort Study

BACKGROUND

Fetal alcohol syndrome (FAS) is a lifelong developmental disability that occurs among individuals with prenatal alcohol exposure (PAE). With improved prediction models, FAS can be diagnosed or treated early, if not completely prevented.

OBJECTIVE

In this study, we sought to compare different machine learning algorithms and their FAS predictive performance among women who consumed alcohol during pregnancy. We also aimed to identify which variables (eg, timing of exposure to alcohol during pregnancy and type of alcohol consumed) were most influential in generating an accurate model.

METHODS

Data from the collaborative initiative on fetal alcohol spectrum disorders from 2007 to 2017 were used to gather information about 595 women who consumed alcohol during pregnancy at 5 hospital sites around the United States. To obtain information about PAE, questionnaires or in-person interviews, as well as reviews of medical, legal, or social service records were used to gather information about alcohol consumption. Four different machine learning algorithms (logistic regression, XGBoost, light gradient-boosting machine, and CatBoost) were trained to predict the prevalence of FAS at birth, and model performance was measured by analyzing the area under the receiver operating characteristics curve (AUROC). Of the total cases, 80% were randomly selected for training, while 20% remained as test data sets for predicting FAS. Feature importance was also analyzed using Shapley values for the best-performing algorithm.

RESULTS

Overall, there were 20 cases of FAS within a total population of 595 individuals with PAE. Most of the drinking occurred in the first trimester only (n=491) or throughout all 3 trimesters (n=95); however, there were also reports of drinking in the first and second trimesters only (n=8), and 1 case of drinking in the third trimester only (n=1). The CatBoost method delivered the best performance in terms of AUROC (0.92) and area under the precision-recall curve (AUPRC 0.51), followed by the logistic regression method (AUROC 0.90; AUPRC 0.59), the light gradient-boosting machine (AUROC 0.89; AUPRC 0.52), and XGBoost (AUROC 0.86; AURPC 0.45). Shapley values in the CatBoost model revealed that 12 variables were considered important in FAS prediction, with drinking throughout all 3 trimesters of pregnancy, maternal age, race, and type of alcoholic beverage consumed (eg, beer, wine, or liquor) scoring highly in overall feature importance. For most predictive measures, the best performance was obtained by the CatBoost algorithm, with an AUROC of 0.92, precision of 0.50, specificity of 0.29, F1 score of 0.29, and accuracy of 0.96.

CONCLUSIONS

Machine learning algorithms were able to identify FAS risk with a prediction performance higher than that of previous models among pregnant drinkers. For small training sets, which are common with FAS, boosting mechanisms like CatBoost may help alleviate certain problems associated with data imbalances and difficulties in optimization or generalization.

COVID-19 Vaccination Booster Dose: Knowledge, Practices, and Intention among Pregnant/Planning to Get Pregnant and Lactating Women

Pregnant women are at higher risk of developing severe COVID-19 symptoms. Therefore, booster dose against COVID-19 was recommended for this special population in Jordan. However, vaccine hesitancy/refusal remains the main obstacle to providing immunity against the spread of COVID-19. Thus, the aim of this study is to examine the intention of pregnant/planning to get pregnant and lactating women towards receiving a booster dose against COVID-19 and its associated factors. A questionnaire was given to Jordanian pregnant/planning to get pregnant and lactating females. A total of 695 females were enrolled in the study. Older age, having a chronic disease, high education, high income, and high perceived risk of COVID-19 were significantly associated with higher knowledge about COVID-19. High perceived risk of COVID-19 was significantly associated with better practice. Participants who anticipated they might contract COVID-19 in the next six months, had high perceived risk of COVID-19, had high knowledge, had received the COVID-19 vaccine based on conviction, and smokers had higher intention to receive a booster dose of the COVID-19 vaccination. In order to increase pregnant and lactating women's intention to receive a booster dose of the COVID-19 vaccine, public health organizations should consider developing comprehensive health education campaigns.

EFFECTS OF DEPRESSION, ANXIETY, OR LOW SELF-ESTEEM UPON GLYCEMIC VARIABILITY, IN DIABETIC PREGNANT VERSUS NON-PREGNANT PATIENTS

Objective

We analyzed the correlation between glycemic variability and psychological problems such as depression, anxiety disorder, and low self-esteem in pregnant and non-pregnant (excluding gestational diabetes) patients with diabetes. Besides its originality, this study might contribute to better / earlier diagnosis of these psychological conditions, with a special interest in pregnant diabetic women. Better management and cost reduction of care could be a consequence.

Methods

We compared diabetic pregnant and non-pregnant women from the perspective of the glycemic variability (for a period of 15 days prior inclusion in the study) and their results on the standardized questionnaires: Beck depression inventory, Hamilton anxiety scale - HRSA, Rosenberg self-esteem test.

Results and Conclusions

A statistically significant correlation was identified in both groups between the glycemic oscillation and depression, anxiety, and low self-esteem. Diabetic pregnant women had a higher statistical significance for the correlation between the glycemic oscillation and depression, as well as between the glycemic oscillation and anxiety than non-pregnant diabetic patients. The present data justify further research. Our results could be developed into a preliminary intervention protocol, using the daily glycemic values measurements, collected by patients.

Psychometric properties of the difficulties in emotion regulation Scale in a perinatal sample

BACKGROUND

One in five pregnant and postpartum individuals experience an anxiety, depressive, and/or trauma-related disorder. Emotion dysregulation (ED) underlies the development and maintenance of various mental health disorders. The Difficulties in Emotion Regulation Scale (DERS) is the most comprehensive and commonly used measure of emotion dysregulation, yet limited evidence supports its use in the perinatal population. The present study aims to evaluate the validity of the DERS and its six subscales in a perinatal sample and to assess its predictive utility in identifying perinatal individuals with a disorder characterised by emotion dysregulation.

METHODS

Pregnant and postpartum individuals (N = 237) completed a diagnostic clinical interview and self-report measures of anxiety, depression, and perceived social support.

RESULTS

The DERS subscales demonstrated good internal consistency and construct validity, as it strongly correlated with measures of anxiety and depression and failed to correlate with a measure of perceived social support. Results from an exploratory factor analysis supported a 6-factor solution, suggesting structural validity. An ROC analysis revealed good to excellent discriminative ability for the DERS full scale and four of the subscales. Finally, an optimal clinical cut-off score of 87 or greater was established with a sensitivity of 81% for detecting a current anxiety, depressive, and/or trauma-related disorder.

CONCLUSIONS

This study provides evidence for the validity and clinical utility of the DERS in a treatment-seeking and community sample of pregnant and postpartum individuals.

Depressive symptoms and associated factors among pregnant women attending antenatal care at Comprehensive Specialized Hospitals in Northwest Ethiopia, 2022: an institution-based cross-sectional study

Background

Depression during pregnancy has a significant impact on public health as it can adversely affect both the mother's and the child's health. These can have devastating effects on the mother, the unborn child, and the entire family.

Objective

This study aimed to determine the prevalence of depressive symptoms and associated factors among pregnant women in Ethiopia.

Method

An institutional-based cross-sectional study was conducted among pregnant women attending antenatal care services at comprehensive specialized hospitals in Northwest Ethiopia from May to June 2022.

Measurement

The desired data were collected through face-to-face interview techniques by using validated questionnaires such as the Edinburgh Postnatal Depression Scale, the Oslo-3 social support scale, and the Abuse Assessment Screen tools. The data were analyzed by using SPSS Version 25. Logistic regression analysis was used to identify factors associated with antenatal depressive symptoms. Variables having a p-value of <0.2 in the bivariate analysis were entered into the multivariable logistic regression. A p-value of <0.05 was considered statistically significant, at 95% CI.

Results

This study revealed that 91 (19.2%) pregnant women screened positive for depressive symptoms. According to multivariable logistic regression, living in rural areas (adjusted odds ratio (AOR) = 2.58, 95% CI: 1.267, 5.256), being in the second or third trimesters of gestational phase (AOR = 4.40, 95% CI: 1.949, 9.966 and AOR = 5.42, 95% CI: 2.438, 12.028, respectively), having a history of alcohol use (AOR = 2.41, 95% CI: 1.099, 5.260), having moderate or poor social support (AOR = 2.55, 95% CI: 1.220, 5.338 and AOR = 2.41, 95% CI: 1.106, 5.268), and having a history of intimate partner violence (AOR = 2.67, 95% CI: 1.416, 5.016) were the factors significantly associated with depressive symptoms at a p-value of ≤ 0.05.

Conclusion and recommendation

The prevalence of depressive symptoms among pregnant women was high. Living in rural areas, second and third trimesters, use of alcohol, having moderate to poor social support, and having a history of intimate partner violence were variables significantly associated with depressive symptoms during pregnancy.

Severity of COVID-19 in pregnant women: a review on the potential role of regulatory T cells

As a physiological condition, pregnancy may cause temporary alterations in the hematological, cardiopulmonary, and immune responses, affecting the maternal susceptibility to viral infections. Pregnant women are vulnerable to infection with the influenza A virus, hepatitis E virus, MERS CoV, and SARS CoV. The agent of Coronavirus disease (COVID-19) is the SARS coronavirus (SARS CoV-2), which affects the cells upon binding to the angiotensin-converting enzyme-2 (ACE2). However, ACE2 expression is elevated in the placental tissue. However, surprisingly, COVID-19 infection in pregnant women tends to have a lower severity and mortality. Therefore, it is interesting to find the immunological mechanisms related to the severity of COVID-19 in pregnancy. Regulatory T cells (Tregs) are a subset of CD4+T cells that may play a central role in maintaining maternal tolerance by regulating immune responses. Pregnancy-induced Tregs are developed to control immune responses against paternal antigens expressed by the semi-allograft fetus. The role of uncontrolled immune responses in COVID-19 pathogenesis has already been identified. This review provides insight into whether pregnancy-induced regulatory T-cell functions could influence the severity of COVID-19 infection during pregnancy.

A case report and a brief literature review of belly dancer's dyskinesia in a pregnant patient

Belly dancer's dyskinesia is a rare movement disorder that can be classified under hyperkinetic movement disorders. It is characterized by rhythmic or semi-rhythmic contractions of the diaphragm and other abdominal muscles that are brief and involuntary that cannot be voluntarily suppressed but could be influenced by respiratory maneuvers. Belly dancer's dyskinesia in pregnancy even rarer, there have only been five reported cases. Here, we reported 19-year-old Ethiopian pregnant women who presented with oscillating movements of the abdomen that occurred at her ninth month of pregnancy. The general medical and neurological examinations were unremarkable. Complete blood count, basic metabolic panels, and biochemistry tests were all within the normal range. The patient responded to the trial of valproate with complete resolution of the abdominal dyskinesia after delivery.