Measuring resilience and stress during pregnancy and its relation to vulnerability and pregnancy outcomes in a nulliparous cohort study.

BACKGROUND: Resilience reflects coping with pregnancy-specific stress, including physiological adaptations of the maternal organism or factors arising from the socioeconomic context, such as low income, domestic violence, drug and alcohol use, lack of a support network and other vulnerability characteristics. Resilience is a dynamic characteristic that should be comparatively evaluated within a specific context; its association with perceived stress and social vulnerability during pregnancy is still not fully understood. This study aimed at exploring maternal resilience, perceived stress and social vulnerability during pregnancy and its associated factors and outcomes. METHODS: Prospective multicenter cohort study of nulliparous women in Brazil determining resilience (Resilience Scale; RS) and stress (Perceived Stress Scale; PSS) at 28 weeks of gestation (± 1 week). Resilience and stress scores were compared according to sociodemographic characteristics related to maternal/perinatal outcomes and social vulnerability, defined as having low level of education, being adolescent, without a partner or ethnicity other than white. RESULTS: We included 383 women who completed the RS and PSS instruments. Most women showed low resilience scores (median: 124.0; IQR 98-143). Women with a low resilience score (RS < 125) were more likely from the Northeast region, adolescents, other than whites, did not study or work, had a low level of education, low family income and received public antenatal care. Higher scores of perceived stress were shown in the Northeast, other than whites, at low levels of education, low annual family income and public antenatal care. Pregnant women with low resilience scores (n = 198) had higher perceived stress scores (median = 28) and at least one vulnerability criterion (n = 181; 91.4%). CONCLUSION: Our results reinforce the role of resilience in protecting women from vulnerability and perceived stress. It may prevent complications and build a positive experience during pregnancy.

The impact of maternal morbidity on cesarean section rates: exploring a Latin American network of sentinel facilities using the Robson's Ten Group Classification System.

BACKGROUND: Latin America has the highest Cesarean Section Rates (CSR) in the world. Robson's Ten Group Classification System (RTGCS) was developed to enable understanding the CSR in different groups of women, classified according to obstetric characteristics into one of ten groups. The size of each CS group may provide helpful data on quality of care in a determined region or setting. Data can potentially be used to compare the impact of conditions such as maternal morbidity on CSR. The objective of this study is to understand the impact of Severe Maternal Morbidity (SMM) on CSR in ten different groups of RTGCS. METHODS: Secondary analysis of childbirth information from 2018 to 2021, including 8 health facilities from 5 Latin American and Caribbean countries (Bolivia, Guatemala, Honduras, Nicaragua, and the Dominican Republic), using a surveillance database (SIP-Perinatal Information System, in Spanish) implemented in different settings across Latin America. Women were classified into one of RTGCS. The frequency of each group and its respective CSR were described. Furthermore, the sample was divided into two groups, according to maternal outcomes: women without SMM and those who experienced SMM, considering Potentially Life-threatening Conditions, Maternal Near Miss and Maternal Death as the continuum of morbidity. RESULTS: Available data were obtained from 92,688 deliveries using the Robson Classification. Overall CSR was around 38%. Group 5 was responsible for almost one-third of cesarean sections. SMM occurred in 6.7% of cases. Among these cases, the overall CSR was almost 70% in this group. Group 10 had a major role (preterm deliveries). Group 5 (previous Cesarean section) had a very high CSR within the group, regardless of the occurrence of maternal morbidity (over 80%). CONCLUSION: Cesarean section rate was higher in women experiencing SMM than in those without SMM in Latin America. SMM was associated with higher Cesarean section rates, especially in groups 1 and 3. Nevertheless, group 5 was the major contributor to the overall CSR.

Performances of birthweight charts to predict adverse perinatal outcomes related to SGA in a cohort of nulliparas.

BACKGROUND: Small-for-gestational-age neonates (SGA) are at increased risk of neonatal morbidity. Nulliparity represents a risk factor for SGA; birthweight charts may perform differently for the detection of SGA among nulliparas. This study aimed at describing the prevalence of SGA in nulliparas according to different birthweight charts and evaluating the diagnostic performance of these charts to maternal and perinatal outcomes. METHODS: This is a secondary analysis of a Brazilian cohort of nulliparas named Preterm SAMBA study. Birthweight centiles were calculated using the Intergrowth-21st, WHO-Fetal Growth Charts, Birth in Brazil population chart and GROW-customised chart. The risks of outcomes among SGA neonates and their mothers in comparison to neonates with birthweights between the 40th-60th centiles were calculated, according to each chart. ROC curves were used to detect neonatal morbidity in neonates with birth weights below different cutoff centiles for each chart. RESULTS: A sample of 997 nulliparas was assessed. The rate of SGA infants varied between 7.0-11.6%. All charts showed a significantly lower risk of caesarean sections in women delivering SGA neonates compared to those delivering adequate-for-gestational-age neonates (OR 0.55-0.64, p < .05). The charts had poor performance (AUC 0.492 - 0.522) for the detection of neonatal morbidity related to SGA born at term. CONCLUSION: The populational and customised birthweight charts detected different prevalence of small-for-gestational-age neonates and showed similar and poor performance to identify related neonatal adverse outcomes in this population.

Long-Term Consequences of Severe Maternal Morbidity on Infant Growth and Development.

OBJECTIVE: Severe maternal morbidity (SMM) is already known to be associated with adverse neonatal outcomes, however, its association with long-term deficits of weight and height, and impairment in neurodevelopment among children was not yet fully assessed. We aim to evaluate whether SMM has repercussions on the weight and height-for-age and neurodevelopmental status of the child. METHODS: A retrospective cohort analysis with women who had SMM events in a tertiary referral center in Brazil. They were compared to a control group of women who had not experienced any SMM. Childbirth and perinatal characteristics, weight and height-for-age deficits and neurodevelopmental impairment suspicion by Denver II Test were comparatively assessed in both groups using RR and 95% CI. Multiple regression analysis was used addressing deficit of weight-for-age, height-for-age and an altered Denver Test, estimating their independent adjusted RR and 95% CI. RESULTS: 634 women with perinatal outcomes available (311 with SMM and 323 without) and 571 children were assessed. Among women with SMM, increased rates in perinatal deaths, Apgar lower than 7 at five minutes, shorter breastfeeding period, preterm birth (49.0% × 11.1%), low birthweight (45.8% × 11.5%), deficits of weight-for-age [RR 3.11 (1.60-6.04)] and height-for-age [RR 1.52 (1.06-2.19)] and altered Denver Test [RR 1.5 (1.02-2.36)] were more frequently found than in the control group. SMM was not identified as independently associated with any of the main outcomes. CONCLUSION: SMM showed to be associated with a negative impact on growth and neurodevelopment aspects of perinatal and infant health. These findings suggest that effective health policies directed towards appropriate care of pregnancy may have an impact on the reduction of maternal, neonatal and infant morbidity and mortality.

Correction: Building a Digital Tool for the Adoption of the World Health Organization's Antenatal Care Recommendations: Methodological Intersection of Evidence, Clinical Logic, and Digital Technology.

[This corrects the article DOI: 10.2196/16355.].

Building a Digital Tool for the Adoption of the World Health Organization's Antenatal Care Recommendations: Methodological Intersection of Evidence, Clinical Logic, and Digital Technology.

BACKGROUND: One of the key mandates of the World Health Organization (WHO) is to develop guidelines, defined as "a document containing recommendations for clinical practice or public health policy." Guidelines represent the global standard for information sources shaping clinical practice and public health policies. Despite the rigorous development process and the value of guidelines for setting standards, implementing such standards within local contexts and at the point of care is a well-documented challenge. Digital technologies enable agile information management and may facilitate the adaptation of guidelines to diverse settings of health services delivery. OBJECTIVE: The objective of this paper is to detail the systematic and iterative process involved in transforming the WHO Antenatal Care (ANC) guidelines into a digital decision-support and patient-record application for routine use in primary health care settings, known as the WHO digital ANC module. METHODS: The WHO convened a team of clinical and digital health experts to develop the WHO digital ANC module as a tool to assist health care professionals in the implementation of WHO evidence-based recommendations for pregnant women. The WHO digital ANC module's creation included the following steps: defining a minimum viable product (MVP), developing clinical workflows and algorithms, algorithm testing, developing a data dictionary, and the creation of a user interface or application development. The overall process of development took approximately 1 year to reach a stable prototype and to finalize the underlying content requirements of the data dictionary and decision support algorithms. RESULTS: The first output is a reference software reflecting the generic WHO ANC guideline content, known as the WHO digital ANC module. Within it, all actionable ANC recommendations have related data fields and algorithms to confirm whether the associated task was performed. WHO recommendations that are not carried out by the health care worker are saved as pending tasks on a woman's health record, and those that are adequately fulfilled trigger messages with positive reinforcement. The second output consists of the structured documentation of the different components which contributed to the development of the WHO digital ANC module, such as the data dictionary and clinical decision support workflows. CONCLUSIONS: This is a novel approach to facilitate the adoption and adaptation of recommendations through digital systems at the health service delivery level. It is expected that the WHO digital ANC module will support the implementation of evidence-based practices and provide information for monitoring and surveillance; however, further evidence is needed to understand how the WHO digital ANC module impacts the implementation of WHO recommendations. Further, the module's implementation will inform the WHO's ongoing efforts to create a pathway to adaptive and integrated (Smart) Guidelines in Digital Systems to improve health system quality, coverage, and accountability.

Mean arterial blood pressure: potential predictive tool for preeclampsia in a cohort of healthy nulliparous pregnant women.

BACKGROUND: Prediction of preeclampsia is a challenge to overcome. The vast majority of prospective studies in large general obstetric populations have failed in the purpose of obtain a useful and effective model of prediction, sometimes based on complex tools unavaible in areas where the incidence of preeclampsia is the highest. The goal of this study was to assess mean arterial blood pressure (MAP) levels at 19-21, 27-29 and 37-39 weeks of gestation and performance of screening by MAP for the prediction of preeclampsia in a Brazilian cohort of healthy nulliparous pregnant women. METHODS: This was a cohort approach to a secondary analysis of the Preterm SAMBA study. Mean arterial blood pressure was evaluated at three different time periods during pregnancy. Groups with early-onset preeclampsia, late-onset preeclampsia and normotension were compared. Increments in mean arterial blood pressure between 20 and 27 weeks and 20 and 37 weeks of gestation were also calculated for the three groups studied. The accuracy of mean arterial blood pressure in the prediction of preeclampsia was determined by ROC curves. RESULTS: Of the 1373 participants enrolled, complete data were available for 1165. The incidence of preeclampsia was 7.5%. Women with early-onset preeclampsia had higher mean arterial blood pressure levels at 20 weeks of gestation, compared to the normotensive group. Women with late-onset preeclampsia had higher mean arterial blood pressure levels at 37 weeks of gestation, than the normotensive groups and higher increases in this marker between 20 and 37 weeks of gestation. Based on ROC curves, the predictive performance of mean arterial blood pressure was higher at 37 weeks of gestation, with an area under the curve of 0.771. CONCLUSION: As an isolated marker for the prediction of preeclampsia, the performance of mean arterial blood pressure was low in a healthy nulliparous pregnant women group. Considering that early-onset preeclampsia cases had higher mean arterial blood pressure levels at 20 weeks of gestation, future studies with larger cohorts that combine multiple markers are needed for the development of a preeclampsia prediction model.

Reference ranges for ultrasound measurements of fetal kidneys in a cohort of low-risk pregnant women.

PURPOSE: Alterations in renal dimensions may be an early manifestation of deviation from normality, with possible repercussions beyond intrauterine life. The objective of this study was to establish reference curves for fetal kidney dimensions and volume from 14 to 40 weeks of gestation. METHODS: This is a prospective longitudinal study of 115 Brazilian participants in the "WHO multicentre study for the development of growth standards from fetal life to childhood: the fetal component". Pregnant women with clinical and sociodemographic characteristics allowing the full potential fetal growth were followed up from the first trimester until delivery. These women underwent serial sonographic evaluation of fetal kidneys. The longitudinal, anteroposterior and transverse diameters of both fetal kidneys were measured, in addition to calculation of kidney volume. By quantile regression analysis, reference curves of renal measurements related to gestational age were built. RESULTS: Standard normal sonographic values of renal biometry were defined during pregnancy. Reference values for the 10th, 50th and 90th centiles of different fetal kidney measurements (longitudinal, anteroposterior, transverse and volume) from the 14th to the 40th week of gestation were fitted. CONCLUSION: The reference curves presented should be of the utmost importance for screening and diagnosis of alterations in renal development during the intrauterine period.

Perinatal outcomes in twin pregnancies complicated by maternal morbidity: evidence from the WHO Multicountry Survey on Maternal and Newborn Health.

BACKGROUND: Twin pregnancy was associated with significantly higher rates of adverse neonatal and perinatal outcomes, especially for the second twin. In addition, the maternal complications (potentially life-threatening conditions-PLTC, maternal near miss-MNM, and maternal mortality-MM) are directly related to twin pregnancy and independently associated with adverse perinatal outcome. The objective of the preset study is to evaluate perinatal outcomes associated with twin pregnancies, stratified by severe maternal morbidity and order of birth. METHODS: Secondary analysis of the WHO Multicountry Survey on Maternal and Newborn Health (WHOMCS), a cross-sectional study implemented in 29 countries. Data from 8568 twin deliveries were compared with 308,127 singleton deliveries. The occurrence of adverse perinatal outcomes and maternal complications were assessed. Factors independently associated with adverse perinatal outcomes were reported with adjusted PR (Prevalence Ratio) and 95%CI. RESULTS: The occurrence of severe maternal morbidity and maternal death was significantly higher among twin compared to singleton pregnancies in all regions. Twin deliveries were associated with higher rates of preterm delivery (37.1%), Apgar scores less than 7 at 5th minute (7.8 and 10.1% respectively for first and second twins), low birth weight (53.2% for the first and 61.1% for the second twin), stillbirth (3.6% for the first and 5.7% for the second twin), early neonatal death (3.5% for the first and 5.2% for the second twin), admission to NICU (23.6% for the first and 29.3% for the second twin) and any adverse perinatal outcomes (67% for the first twin and 72.3% for the second). Outcomes were consistently worse for the second twin across all outcomes. Poisson multiple regression analysis identified several factors independently associated with an adverse perinatal outcome, including both maternal complications and twin pregnancy. CONCLUSION: Twin pregnancy is significantly associated with severe maternal morbidity and with worse perinatal outcomes, especially for the second twin.

Use of metabolomics for the identification and validation of clinical biomarkers for preterm birth: Preterm SAMBA.

BACKGROUND: Spontaneous preterm birth is a complex syndrome with multiple pathways interactions determining its occurrence, including genetic, immunological, physiologic, biochemical and environmental factors. Despite great worldwide efforts in preterm birth prevention, there are no recent effective therapeutic strategies able to decrease spontaneous preterm birth rates or their consequent neonatal morbidity/mortality. The Preterm SAMBA study will associate metabolomics technologies to identify clinical and metabolite predictors for preterm birth. These innovative and unbiased techniques might be a strategic key to advance spontaneous preterm birth prediction. METHODS/DESIGN: Preterm SAMBA study consists of a discovery phase to identify biophysical and untargeted metabolomics from blood and hair samples associated with preterm birth, plus a validation phase to evaluate the performance of the predictive modelling. The first phase, a case-control study, will randomly select 100 women who had a spontaneous preterm birth (before 37 weeks) and 100 women who had term birth in the Cork Ireland and Auckland New Zealand cohorts within the SCOPE study, an international consortium aimed to identify potential metabolomic predictors using biophysical data and blood samples collected at 20 weeks of gestation. The validation phase will recruit 1150 Brazilian pregnant women from five participant centres and will collect blood and hair samples at 20 weeks of gestation to evaluate the performance of the algorithm model (sensitivity, specificity, predictive values and likelihood ratios) in predicting spontaneous preterm birth (before 34 weeks, with a secondary analysis of delivery before 37 weeks). DISCUSSION: The Preterm SAMBA study intends to step forward on preterm birth prediction using metabolomics techniques, and accurate protocols for sample collection among multi-ethnic populations. The use of metabolomics in medical science research is innovative and promises to provide solutions for disorders with multiple complex underlying determinants such as spontaneous preterm birth.

Maternal near miss among women using the public health system in the Amazon and Northeast regions of Brazil.

OBJECTIVE: To assess the prevalence of pregnancy complications identified as maternal near miss (MNM) and associated factors among women using the public health care system in the Amazon and Northeast regions of Brazil. METHODS: A secondary analysis of a population-based survey conducted in 2010 was performed focusing on women self-reporting maternal complications. The main outcome was MNM, pragmatically defined as intensive care unit admission, eclampsia, hysterectomy, or blood transfusion. In addition, the risk of MNM was estimated for certain sociodemographics and characteristics of care received. Poisson regression was performed, generating adjusted prevalence ratios (PRadj) with 95% confidence intervals (95%CI). RESULTS: A total of 13 044 women (77%) who had given birth during the prior year using the public health system were interviewed. At least one complication was reported by 37.5%, with hemorrhage (28.4%) and infection (8.3%) being the most frequent. The overall MNM ratio was 31.5 per 1 000 live births, higher for the Amazon region than for the Northeast. Factors with a higher risk for developing MNM were: indigenous ethnicity (PRadj 2.77; 95% CI: 1.50-5.14), more than one hour to reach the hospital (PRadj 1.55; 95%CI: 1.06-2.25), being refused by a full hospital and having to find another one (PRadj 1.49; 95%CI: 1.03-2.16), cesarean section (PRadj 2.56; 95%CI: 1.90-3.44), and public prenatal care (PRadj 1.95; 95%CI: 1.06-3.61). CONCLUSIONS: Users of public health system in the Amazon and Northeast regions of Brazil have high MNM rates. Some characteristics of the women and of the care they received represent inequalities associated with higher risk for MNM. Specific actions are required to improve maternal health programs in these expansive areas of the country.

Risk factors related to the SARS-CoV-2 vaccine additional doses hesitancy among pregnant and non-pregnant people of reproductive age and partners: A Brazilian cross-sectional study.

OBJECTIVE: The aim of this study was to assess the predictors of acceptance and hesitancy of additional doses of any SARS-CoV-2 (COVID-19) vaccine among pregnant or recently pregnant and non-pregnant people of reproductive age and partners in Brazil. METHODS: We conducted an online cross-sectional study from June 2022 to April 2023 and invited women and partners between 18 and 49 years old to participate. We employed a snowball strategy to reach all potential eligible participants. Our primary outcome was the acceptance rate of the COVID-19 booster vaccine. We estimated the frequency and percentage for the three groups and compared categorical variables using the Chi-square test. Moreover, bivariate, backward stepwise regression, and subgroup analyses were performed to evaluate risk factors and predictors of COVID-19 vaccine booster hesitancy. We reported the effect size as OR with a 95% CI. RESULTS: We included 1487 participants, and among them, 334 (22.5%) were pregnant or recently pregnant people, 905 (60.8%) were non-pregnant people, and 247 (16.6%) were male partners. Pregnant and recently pregnant people showed greater hesitancy for the COVID-19 vaccine booster than non-pregnant people (28% vs 15%, P < 0.001) and male partners (28% vs 16%, P < 0.001). Non-pregnant women accepted the COVID-19 vaccine more often than pregnant or recently pregnant people (OR 1.75; 95% CI: 1.13-2.70). The associated factors to the reduced COVID-19 vaccine booster acceptance were family income between US$ 566-945.00 (54%), evangelic religion (65%), concern about vaccine safety (80%) and perceived common vaccine importance (93%). CONCLUSION: Pregnant people were more hesitant than non-pregnant people to accept the COVID-19 booster vaccine. Family income, religious beliefs, vaccine safety concerns, and perceived common vaccine importance were significant barriers to accepting COVID-19 booster vaccines. The impact of these factors was more evident among pregnant or recently pregnant people, emphasizing the harmful effect of misinformation among this vulnerable population.

Are vitamin D intake and serum levels in the mid-trimester of pregnancy associated with preeclampsia? Results from a Brazilian multicentre cohort.

OBJECTIVE: To explore the association between serum levels and food intake of Vitamin D (VD) among healthy women in mid-pregnancy and preeclampsia. STUDY DESIGN: In a Brazilian multicentre cohort of healthy nulliparous pregnant women from five maternity centres we developed a nested case-control analysis comparing cases with and without preeclampsia. Women were enrolled and followed during prenatal care, including only singleton pregnancies, without any fetal malformations or previous chronic maternal disease. We matched 87 cases of preeclampsia to eligible controls randomly selected in a 1:1 ratio, by age and region. MAIN OUTCOME MEASURES: Blood samples from these were collected, and a 24-hour recall of food intake was obtained in mid-pregnancy, between 19 and 21 weeks. VD serum levels (25-hydroxyvitamin D) were measured by liquid chromatography-tandem mass spectrometry and were categorized as deficient, insufficient, and sufficient. The dietary intake of VD was estimated with the 24-hour diet recall applied at the same time and from supplementation. Maternal characteristics and VD levels were compared between cases and controls with OR and respective 95 %CI. Multivariate analysis using the Path method was used to assess relationships among VD, PE, BMI, skin colour/ethnicity, and diet. RESULTS: The maternal characteristics of both groups were similar, except for the higher occurrence of obesity among women with preeclampsia (OR 3.47, 95 %CI 1.48-8.65). Dietary intake of VD was similar in both groups, and most of the women in both groups consumed insufficient VD (82.2 vs 79.3 % in the groups with and without PE). CONCLUSIONS: Levels and dietary intake of VD were not associated with PE in this Brazilian sample of healthy pregnant women; however, BMI and skin colour/ethnicity were associated with PE.

Prevalence and management of ectopic and molar pregnancies in 17 countries in Africa and Latin America and the Caribbean: a secondary analysis of the WHO multi-country cross-sectional survey on abortion.

INTRODUCTION: There are limited global data on ectopic pregnancy (EP) and molar pregnancy (MP), making it important to understand their epidemiology and management across different regions. Our study aimed to describe their prevalence for both conditions, severity of their complications and management among women in selected health facilities across 17 countries in Africa and Latin America and the Caribbean (LAC). METHODS: This is a secondary analysis of the WHO multi-country survey on abortion. Data were collected from 280 healthcare facilities across 11 countries in Africa and 6 in LAC. Sociodemographic information, signs and symptoms, management and clinical outcomes were extracted from medical records. Facility-level data on post-abortion care (PAC) capabilities were also collected, and facilities were classified accordingly. χ2 or Fisher's exact tests were used to compare categorical data. RESULTS: The total number of women with EP and MP across both regions was 9.9% (2 415/24 424) where EP accounted for 7.8% (1 904/24 424) and MP for 2.1% (511/24 424). EP presented a higher severity of complications than MP. At admission, 49.8% of EP had signs of peritoneal irritation. The most common surgical management for EP was laparotomy (87.2%) and for MP, uterine evacuation (89.8%). Facilities with higher scores in infrastructure and capability to provide PAC more frequently provided minimal invasive management using methotrexate/other medical treatment (34.9%) and laparoscopy (5.1%). CONCLUSION: In Africa and LAC, EP and MP cause significant maternal morbidity and mortality. The disparity in the provision of good quality care highlights the need to strengthen the implementation of evidence-based recommendations in the clinical and surgical management of EP and MP.

Causes and investigation of stillbirths in Brazil: A multicentre cross-sectional study in 10 referral maternity hospitals.

OBJECTIVE: Understanding the local characteristics and statistics related to stillbirths may be the first step in a series of strategies associated with a reduction in stillbirth ratio. The aim of this study was to estimate the fetal mortality ratio and evaluate the investigation processes related to the causes of death, comparing the investigation according to the specific cause of death. METHODS: A cross-sectional study was retrospectively conducted in 10 tertiary obstetric care centers. Medical records of women with stillbirth managed between January 1, 2009 and December 31, 2018 were analyzed and classified, according to sociodemographic characteristics, and gestational and childbirth data, culminating in stillbirth. The stillbirth ratio and its causes were presented in proportions for the study period and individually for each health facility. RESULTS: Cases of 3390 stillbirths were analyzed. The stillbirth ratio varied from 10.74/1000 live births (LBs) in 2009 to 9.31/1000 in 2018. "Intrauterine hypoxia and asphyxia" (ICD-10 P20) and "unspecific causes of death" (ICD-10 P95) represented 40.8% of the causes of death. Investigation for TORCHS and diabetes occurred in 90.8% and 61.4% of deaths, respectively. Placental and necroscopic tests were performed in 36.6% of the cases. CONCLUSION: The adoption of a rational and standardized investigation of stillbirth remains an unmet need; the use of additional tests and examinations are lacking, especially when unspecific causes are attributed.

Vaccine decision-making among pregnant women: a protocol for a cross-sectional mixed-method study in Brazil, Ghana, Kenya and Pakistan.

Maternal immunization is a critical strategy to prevent both maternal and infant morbidity and mortality from several infectious diseases. When the first COVID-19 vaccines became available during the pandemic, there was mixed messaging and confusion amongst the broader public and among those associated with health care systems about the recommendations for COVID-19 vaccinations in pregnancy in many countries. A multi-country, mixed-methods study is being undertaken to describe how vaccine decision-making occurs amongst pregnant and postpartum women, with a focus on COVID-19 vaccines. The study is being conducted in Brazil, Ghana, Kenya, and Pakistan. In each country, participants are being recruited from either 2 or 3 maternity hospitals and/or clinics that represent a diverse population in terms of socio-economic and urban/rural status. Data collection includes cross-sectional surveys in pregnant women and semi-structured in-depth interviews with both pregnant and postpartum women. The instruments were designed to identify attitudinal, behavioral, and social correlates of vaccine uptake during and after pregnancy, including the decision-making process related to COVID-19 vaccines, and constructs such as risk perception, self-efficacy, vaccine intentions, and social norms. The aim is to recruit 400 participants for the survey and 50 for the interviews in each country. Qualitative data will be analyzed using a grounded theory approach. Quantitative data will be analyzed using descriptive statistics, latent variable analysis, and prediction modelling. Both the quantitative and qualitative data will be used to explore differences in attitudes and behaviors around maternal immunization across pregnancy trimesters and the postpartum period among and within countries. Each country has planned dissemination activities to share the study findings with relevant stakeholders in the communities from which the data is collected and to conduct country-specific secondary analyses.

The effect of body mass index on maternal and perinatal outcomes in COVID-19 infection during pregnancy and postpartum: Secondary analysis from the REBRACO cohort study.

OBJECTIVES: To compare maternal and perinatal outcomes among women with obesity, overweight, and normal body mass index, associated with COVID-19 infection during pregnancy and postpartum. METHOD: Prospective Cohort Study, within the REBRACO (Brazilian Network of COVID-19 in Pregnancy) multicenter initiative. Confirmed positive cases of SARS-CoV-2 were included, and women categorized into three groups according to their pre-pregnancy BMI: obesity (BMI ≥ 30), overweight (BMI <30 but >25), and normal BMI. Sociodemographic, clinical, and obstetric characteristics and different maternal and perinatal outcomes were compared, and a multiple regression analysis was performed to investigate factors independently associated with adverse maternal and perinatal outcomes. RESULTS: Two hundred eighty-nine women positive for SARS-CoV-2 infection were considered, and 202 had available data on maternal BMI for the current analysis. Overall, 72 (35.6%)obese, 68 (33.6%) overweight, and 60 (29.7%) normal BMI. Obesity was associated with increased adverse clinical outcomes including sepsis (P = 0.02), acute respiratory distress syndrome (P = 0.002), and the need for mechanical ventilation (P = 0.044). Considering perinatal outcomes, a multiple regression model confirmed obesity as an independent factor associated with adverse results (adjusted odds ratio 3.73, 95% CI 1.54-9.08). CONCLUSION: Obesity and overweight were associated with worse clinical outcomes, severe/critical COVID-19, and adverse perinatal outcomes.

Development and validation of prediction models for fetal growth restriction and birthweight: an individual participant data meta-analysis.

Background: Fetal growth restriction is associated with perinatal morbidity and mortality. Early identification of women having at-risk fetuses can reduce perinatal adverse outcomes. Objectives: To assess the predictive performance of existing models predicting fetal growth restriction and birthweight, and if needed, to develop and validate new multivariable models using individual participant data. Design: Individual participant data meta-analyses of cohorts in International Prediction of Pregnancy Complications network, decision curve analysis and health economics analysis. Participants: Pregnant women at booking. External validation of existing models (9 cohorts, 441,415 pregnancies); International Prediction of Pregnancy Complications model development and validation (4 cohorts, 237,228 pregnancies). Predictors: Maternal clinical characteristics, biochemical and ultrasound markers. Primary outcomes: fetal growth restriction defined as birthweight <10th centile adjusted for gestational age and with stillbirth, neonatal death or delivery before 32 weeks' gestation birthweight. Analysis: First, we externally validated existing models using individual participant data meta-analysis. If needed, we developed and validated new International Prediction of Pregnancy Complications models using random-intercept regression models with backward elimination for variable selection and undertook internal-external cross-validation. We estimated the study-specific performance (c-statistic, calibration slope, calibration-in-the-large) for each model and pooled using random-effects meta-analysis. Heterogeneity was quantified using τ2 and 95% prediction intervals. We assessed the clinical utility of the fetal growth restriction model using decision curve analysis, and health economics analysis based on National Institute for Health and Care Excellence 2008 model. Results: Of the 119 published models, one birthweight model (Poon) could be validated. None reported fetal growth restriction using our definition. Across all cohorts, the Poon model had good summary calibration slope of 0.93 (95% confidence interval 0.90 to 0.96) with slight overfitting, and underpredicted birthweight by 90.4 g on average (95% confidence interval 37.9 g to 142.9 g). The newly developed International Prediction of Pregnancy Complications-fetal growth restriction model included maternal age, height, parity, smoking status, ethnicity, and any history of hypertension, pre-eclampsia, previous stillbirth or small for gestational age baby and gestational age at delivery. This allowed predictions conditional on a range of assumed gestational ages at delivery. The pooled apparent c-statistic and calibration were 0.96 (95% confidence interval 0.51 to 1.0), and 0.95 (95% confidence interval 0.67 to 1.23), respectively. The model showed positive net benefit for predicted probability thresholds between 1% and 90%. In addition to the predictors in the International Prediction of Pregnancy Complications-fetal growth restriction model, the International Prediction of Pregnancy Complications-birthweight model included maternal weight, history of diabetes and mode of conception. Average calibration slope across cohorts in the internal-external cross-validation was 1.00 (95% confidence interval 0.78 to 1.23) with no evidence of overfitting. Birthweight was underestimated by 9.7 g on average (95% confidence interval -154.3 g to 173.8 g). Limitations: We could not externally validate most of the published models due to variations in the definitions of outcomes. Internal-external cross-validation of our International Prediction of Pregnancy Complications-fetal growth restriction model was limited by the paucity of events in the included cohorts. The economic evaluation using the published National Institute for Health and Care Excellence 2008 model may not reflect current practice, and full economic evaluation was not possible due to paucity of data. Future work: International Prediction of Pregnancy Complications models' performance needs to be assessed in routine practice, and their impact on decision-making and clinical outcomes needs evaluation. Conclusion: The International Prediction of Pregnancy Complications-fetal growth restriction and International Prediction of Pregnancy Complications-birthweight models accurately predict fetal growth restriction and birthweight for various assumed gestational ages at delivery. These can be used to stratify the risk status at booking, plan monitoring and management. Study registration: This study is registered as PROSPERO CRD42019135045. Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Health Technology Assessment programme (NIHR award ref: 17/148/07) and is published in full in Health Technology Assessment; Vol. 28, No. 14. See the NIHR Funding and Awards website for further award information.

One in ten babies is born small for their age. A third of such small babies are considered to be 'growth-restricted' as they have complications such as dying in the womb (stillbirth) or after birth (newborn death), cerebral palsy, or needing long stays in hospital. When growth restriction is suspected in fetuses, they are closely monitored and often delivered early to avoid complications. Hence, it is important that we identify growth-restricted babies early to plan care. Our goal was to provide personalised and accurate estimates of the mother's chances of having a growth-restricted baby and predict the baby's weight if delivered at various time points in pregnancy. To do so, first we tested how accurate existing risk calculators ('prediction models') were in predicting growth restriction and birthweight. We then developed new risk-calculators and studied their clinical and economic benefits. We did so by accessing the data from individual pregnant women and their babies in our large database library (International Prediction of Pregnancy Complications). Published risk-calculators had various definitions of growth restriction and none predicted the chances of having a growth-restricted baby using our definition. One predicted baby's birthweight. This risk-calculator performed well, but underpredicted the birthweight by up to 143 g. We developed two new risk-calculators to predict growth-restricted babies (International Prediction of Pregnancy Complications-fetal growth restriction) and birthweight (International Prediction of Pregnancy Complications-birthweight). Both calculators accurately predicted the chances of the baby being born with growth restriction, and its birthweight. The birthweight was underpredicted by <9.7 g. The calculators performed well in both mothers predicted to be low and high risk. Further research is needed to determine the impact of using these calculators in practice, and challenges to implementing them in practice. Both International Prediction of Pregnancy Complications-fetal growth restriction and International Prediction of Pregnancy Complications-birthweight risk calculators will inform healthcare professionals and empower parents make informed decisions on monitoring and timing of delivery.

The experience of pregnant women and their families who were infected with covid-19 before vaccination: A qualitative approach within a multicenter study in Brazil.

BACKGROUND: Pregnant and postpartum women infected by COVID-19 are at increased risk of adverse outcomes, including negative effects on their mental health. Brazilian maternal mortality rate due to COVID-19 is 2.5 times higher than overall mortality rates. This study aimed to understand how pregnant/postpartum women experienced the COVID-19 suspicion/investigation or confirmed infection in different Brazilian cities, the pandemic's consequences to women and their families, and their needs to improve maternal health services during public health emergencies. METHODS: We conducted a qualitative study with 27 women with COVID-19 and 6 of their family members, as part of a multicenter study among 15 maternity hospitals in Brazil. We applied in-depth interviews through telephone calls when women received the diagnostic or had a suspect infection and after 60 days. Another semi-structured interview was applied to their close family members. The interviews were considered through thematic analysis. RESULTS: From the thematic content analysis three major themes emerged from the first and second interviews: (Cucinotta and Vanelli, 2020) assistance received by the woman and newborn in the medical services; (World Health Organization (WHO) 2021) stigma/fear of contamination from health workers and from family and friends reported by the women; (Allotey et al., 2020) the COVID-19 pandemic impact. CONCLUSION: Before the availability of the COVID-19 vaccine, pregnant women experienced fear of death, hospitalization, quarantine, loss of family members, and financial repercussions, resulting in physical, psychological, and socioeconomic impacts on these women's lives.