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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.

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This narrative review aims to describe the knowledge regarding nutritional evaluation and monitoring in pregnant women. We discuss care provided by non-specialists in nutrition, regarding dietary information and risks during pregnancy, from a theoretical or conceptual viewpoint. A narrative review was conducted following a literature search when scientific databases were investigated, including SciELO, LILACS, Medline, PubMed, theses, government reports, books, and chapters in books. Finally, the material was fully read, categorized, and critically analyzed. National and international protocols of prenatal nutritional care were included and discussed. Different protocols describe the complexity of evaluating and monitoring nutrition among pregnant women during the prenatal period according to each country. The understanding of social conditions and eating habits has an important role in providing nutritional advice during pregnancy. The lack of dietitians in care overwhelms the healthcare workers and characterizes a missed opportunity. Therefore, it is important to consider rapid support tools that can track adverse nutritional status, and ways to recommend a diet that meets eating habit dynamics, according to the reality of each public health system.

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BACKGROUND: Recognizing the causes of stillbirths and their associated conditions is essential to reduce its occurrence. OBJECTIVE: To describe information on stillbirths in Brazil during the past decade. SEARCH STRATEGY: A literature search was performed from January 2010 to December 2020. SELECTION CRITERIA: Original observational studies and clinical trials. DATA COLLECTION AND ANALYSIS: Data were manually extracted to a spreadsheet and descriptive analysis was performed. RESULTS: A total of 55 studies were included; 40 studies (72.2%) used the official data stored by national public health systems. Most articles aimed to estimate the rate and trends of stillbirth (60%) or their causes (55.4%). Among the 16 articles addressing the causes of death, 10 (62.5%) used the International Classification of Diseases; most of the articles only specified the main cause of death. Intrauterine hypoxia was the main cause reported (ranging from 14.3% to 54.9%). CONCLUSION: Having a national system based on compulsory notification of stillbirths may not be sufficient to provide quality information on occurrence and, especially, causes of death. Further improvements of the attribution and registration of causes of deaths and the implementation of educational actions for improving reporting systems are advisable. Finally, expanding the investigation of contributing factors associated with stillbirths would create an opportunity for further development of prevention strategies in low- and middle-income countries such as Brazil.

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The present review comes from five previous studies of a multicenter cohort of nulliparous pregnant women from different regions of Brazil. The first study showed a wide difference in consumption of industrialized foods among women from the south and southeast regions compared with northeastern women who chose to eat a healthier diet with fresh natural food. The second investigation intended to understand maternal eating habits, where five dietary patterns were identified: two considered healthy and three with excess protein, ultra-processed foods, fats, and sweets. Considering some barriers to classifying nutrition status during prenatal care, when data on pre-pregnancy weight is unknown, the third study developed a tool to identify three levels of risk for each gestational age range, assessed by measuring arm circumference. Applying those new tools, the associations between maternal nutrition and pregnancy outcomes were investigated: prematurity, pre-eclampsia, gestational diabetes mellitus, and small-for-gestational-age infants. From these analyses, a predictive model was developed indicating that obesity, non-white color, and dietary pattern with excess protein consumption were associated with a greater probability of adverse pregnancy outcomes. Moreover, the potential of the intergenerational influence of head circumference as a proxy for maternal nutrition was analyzed. Using a Path Analysis method, the model was evidenced by different socioeconomic variables. Finally, understanding the complexity of the nutritional assessment, the present conceptual framework was proposed for nutritional assessment, and tracking and monitoring of pregnant women.

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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.

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Nutrition indicators for malnutrition can be screened by many signs such as stunting, underweight or obesity, muscle wasting, and low caloric and nutrients intake. Those deficiencies are also associated with low socioeconomic status. Anthropometry can assess nutritional status by maternal weight measurements during pregnancy. However, most studies have focused primarily on identifying changes in weight or Body Mass Index (BMI), and their effects on neonatal measures at present time. Whereas head circumference (HC) has been associated with nutrition in the past. When the mother was exposed to poor nutrition and unfavorable social conditions during fetal life, it was hypothesized that the intergenerational cycle was potentially mediated by epigenetic mechanisms. To investigate this theory, maternal head circumference (MHC) was associated with neonatal head circumference (NHC) in pregnant women without preexisting chronic conditions, differentiated by sociodemographic characteristics. A multiple linear regression model showed that each 1 cm-increase in MHC correlated with a 0.11 cm increase in NHC (ß95% CI 0.07 to 0.15). Notwithstanding, associations between maternal and neonatal anthropometrics according to gestational age at birth have been extensively explained. Path analysis showed the influence of social status and the latent variable was socioeconomic status. A model of maternal height and head circumference was tested with effects on neonatal HC. The social variable lacked significance to predict neonatal HC in the total sample (p = 0.212) and in the South/Southeast (p = 0.095), in contrast to the Northeast (p = 0.047). This study highlights the potential intergenerational influence of maternal nutrition on HC, suggesting that maternal nutrition may be more relevant in families with major social vulnerability.

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OBJECTIVE: To determine fetal death rates (FDRs) according to maternal characteristics in Brazil. METHODS: A serial cross-sectional analysis was conducted based on vital statistics of the Brazilian population from 2007 to 2019. FDRs were estimated according to maternal and pregnancy characteristics. Annual percent change (APC) of FDR was assessed by joinpoint regression model. Causes of death were compared between the ante-/intrapartum periods. RESULTS: A significant reduction in FDR occurred in Brazil during 2007-2019 (11.1 and 10.43 in 2007 and 2019, respectively; APC -0.44). Only the northern region showed an increase in FDR. In 2019, the northeast and southeast had the highest and lowest FDRs, respectively (11.4 and 7.8/1000 live births). In adolescents, FDR increased from 2007 to 2016 (APC 1.75). In 2019, missing information was significantly high for maternal skin color (99.7%), schooling (17.0%), and age (7.0%) in fetal death registries. The most common causes of fetal death in the ante-/intrapartum periods were fetus and newborn affected by maternal conditions. CONCLUSION: A reduction in FDR has been achieved in Brazil over the last decade. However, there is an unmet need for decreasing social and regional disparities. A better system to attribute causes of death is needed to identifying priorities in maternal-fetal health care.

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OBJECTIVE: To assess the calorie intake and nutritional content of the maternal diet in regions with different culinary traditions and typical foods, and to understand the nutritional profile so as to provide information about the consumption of this population and promote maternal and perinatal health. METHODS: From a cohort of 1145 pregnant women with diverse socio-backgrounds we analyzed the dietary characteristics profile according to three guidelines and compared the differences between regions of Brazil. RESULTS: Women from the northeast had the lowest level of income, occupation, education, and age (P < 0.001). Intakes of unprocessed/minimally processed foods and processed foods were more prevalent in women from the northeast than in southern/southeastern women (P < 0.001). The consumption of dairy products and vegetables was less than the recommended intake, with lower intake in southern/southeastern women (P < 0.001). This study showed a lower consumption of dairy and vegetables, with a shortfall of vitamins K and D, iron, calcium, folate, magnesium, and chromium from natural and fortified foods. We observed a greater consumption of unprocessed or minimally processed food in women from the northeast of Brazil. CONCLUSION: Our findings indicate the importance of differentiating the source of calorie intake between regional nutritional guidance and the diversity of local cuisine.

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Although maternal nutrition has an impact on fetal development and gestational outcome, tracking maternal nutrition in outpatient practice is still complex and involves proper technical capacitation in this area. Nevertheless, the association between nutritional variables may broaden the ability to predict the occurrence of gestational disorders and prevention management. We aimed to identify factors that could indicate the probability of adverse outcomes in mid-pregnancy. From a cohort of 1165 nulliparous pregnant women without any previous disease, the nutritional status was assessed by body mass index (BMI) and mid-upper arm circumference (MUAC), associated with dietary patterns and sociodemographic characteristics. Two predictive models with nutritional status for screening the occurrence of adverse outcomes of preterm birth, gestational diabetes mellitus, small-for-gestational-age newborns and preeclampsia were developed. The odds of adverse outcomes were higher in non-white (p < 0.05) obese women and with high protein consumption. There was no significant difference between the models, with an overall accuracy of 63% for both models and a probability of success in predicting adverse outcomes (BMI = 61%, MUAC = 52%). This study of Brazilian pregnant nulliparous women offers two possible options for early tracking of adverse gestational outcomes that should be further externally validated.

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Assessment of human nutrition is a complex process, in pregnant women identify dietary patterns through mean nutrient consumption can be an opportunity to better educate women on how to improve their overall health through better eating. This exploratory study aimed to identify a posteriori dietary patterns in a cohort of nulliparous pregnant women. The principal component analysis (PCA) technique was performed, with Varimax orthogonal rotation of data extracted from the 24-h dietary recall, applied at 20 weeks of gestation. We analysed 1.145 dietary recalls, identifying five main components that explained 81% of the dietary pattern of the sample. Dietary patterns found were: Obesogenic, represented by ultra-processed foods, processed foods, and food groups rich in carbohydrates, fats and sugars; Traditional, most influenced by natural, minimally processed foods, groups of animal proteins and beans; Intermediate was similar to the obesogenic, although there were lower loads; Vegetarian, which was the only good representation of fruits, vegetables and dairy products; and Protein, which best represented the groups of proteins (animal and vegetable). The obesogenic and intermediate patterns represented over 37% of the variation in food consumption highlighting the opportunity to improve maternal health especially for women at first mothering.

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OBJECTIVE: In Brazil, although the assessment of maternal nutritional status is recommended using body mass index (BMI), this is only possible in settings adequately prepared. Midupper arm circumference (MUAC) is another biological variable identified as a tool for rapid assessment of nutritional status that is correlated with BMI. Therefore, we aim to surrogate BMI by MUAC cut-offs for rapid screening of maternal nutritional status starting at midpregnancy. DESIGN: Analysis of the multicentre cohort study entitled 'Preterm SAMBA' using an approach of validation of diagnostic test. SETTING: Outpatient prenatal care clinics from five tertiary maternity hospitals from three different Brazilian regions. PARTICIPANTS: 1165 pregnant women attending prenatal care services from 2015 to 2018 and with diverse ethnic characteristics who were enrolled at midpregnancy and followed in three visits at different gestational weeks. PRIMARY AND SECONDARY OUTCOME MEASURES: Sensitivity, specificity, positive and negative predictive values, likelihood ratio and accuracy of MUAC being used instead of BMI for the assessment of nutritional status of women during pregnancy. RESULTS: We found a strong correlation between MUAC and BMI, in the three set points analysed (r=0.872, 0.870 and 0.831, respectively). Based on BMI categories of nutritional status, we estimated the best MUAC cut-off points, finding measures according to each category: underweight <25.75 cm (19-39 weeks); overweight 28.11-30.15 cm (19-21 weeks), 28.71-30.60 cm (27-29 weeks) and 29.46-30.25 cm (37-39 weeks); and obese >30.15 cm (19-21 weeks), >30.60 cm (27-29 weeks) and >30.25 cm (37-39 weeks) per gestational week. Therefore, we defined as adequate between 25.75-28.10 cm (19-21 weeks), 25.75-28.70 cm (27-29 weeks) and 25.75-29.45 cm (37-39 weeks) of MUAC. CONCLUSION: We conclude that MUAC can be useful as a surrogate for BMI as a faster screening of nutritional status in pregnant women.

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Risk-stratification screening for SGA has been proposed in high-income countries to prevent perinatal morbidity and mortality. There is paucity of data from middle-income settings. The aim of this study is to explore risk factors for SGA in Brazil and assess potential for risk stratification. This population-based study is a secondary analysis of Birth in Brazil study, conducted in 266 maternity units between 2011 and 2012. Univariate and multivariate logistic regressions were performed, and population attributable fraction estimated for early and all pregnancy factors. We calculated absolute risk, odds ratio, and population prevalence of single or combined factors stratified by parity. Factors associated with SGA were maternal lupus (ORadj 4.36, 95% CI [2.32-8.18]), hypertensive disorders in pregnancy (ORadj 2.72, 95% CI [2.28-3.24]), weight gain < 5 kg (ORadj 2.37, 95% CI [1.99-2.83]), smoking at late pregnancy (ORadj 2.04, 95% CI [1.60-2.59]), previous low birthweight (ORadj 2.22, 95% CI [1.79-2.75]), nulliparity (ORadj 1.81, 95% CI [1.60-2.05]), underweight (ORadj 1.61, 95% CI [1.36-1.92]) and socioeconomic status (SES) < 5th centile (ORadj 1.23, 95% CI [1.05-1.45]). Having two or more risk factors (prevalence of 4.4% and 8.0%) was associated with a 2 and fourfold increase in the risk for SGA in nulliparous and multiparous, respectively. Early and all pregnancy risk factors allow development of risk-stratification for SGA. Implementation of risk stratification coupled with specific strategies for reduction of risk and increased surveillance has the potential to contribute to the reduction of stillbirth in Brazil through increased detection of SGA, appropriate management and timely delivery.

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