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AIM: To evaluate the association between maternal obesity, gestational diabetes (GDM), and birth size with infant fat-mass (FM) accretion from 1 to 6 months (M). METHODS: Healthy pregnant women and their term babies from the OBESO cohort were studied (1 M-3 M, n = 122; 1 M-6 M, n = 90). Registered maternal data was: pregestational body-mass-index (preBMI), GDM (2hOGTT), medications, gestational weight gain. Macrosomia (>4000 g), large/small for gestational age (LGA/SGA)(weight/age > 90° and < 90°, respectively-WHO) were recorded at birth. Infant FM (air-displacement plethysmography) was measured (1 M, 3 M, 6 M) and FM accretion computed (ΔkgFM from 1 M-3 M and 1 M-6 M). Exclusive breastfeeding (EBF) was assessed. Adjusted-multiple linear regression models were performed. RESULTS: PreBMI was 27.4 ± 5.2 kg/m2. GDM was present in9%(n = 11) of women; 12.3%(n = 15) of them received metformin/insulin. One newborn was LGA; 20.7%(n = 25) were SGA. From 1 M-3 M, SGA was a predictor of higher FM accretion (B:0.28, 95%CI:0.14-0.43); GDM was not associated. From 1 M-6 M, higher FM accretion was observed in SGA newborns (B:0.43, 95%CI:0.19-0.67) and GDM infants (B:0.48, 95%CI:0.06-0.89). In all models (R2 ≥ 0.48, p < 0.001), infant weight and being female were positively associated, while maternal obesity, metformin/insulin, and EBF were not. CONCLUSIONS: GDM appears to program early higher adiposity accretion, independently of excessive fetal growth. SGA was associated with higher FM accretion in early infancy.

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We evaluated whether there was an association between fathers' nutritional status and children's birth weight (BW) considering weight-matched mothers with and without gestational diabetes mellitus (GDM). In total, 86 trios of women, infants, and fathers were evaluated. BW was not different between the groups of obese and non-obese parents, frequency of maternal obesity, or GDM. The percentage of infants who were large for gestational age (LGA) was 25% in the obese group and 14% in the non-obese group (p = 0.44). There was a borderline significance for higher body mass index (p = 0.09) of the father in the LGA group compared with the adequate for gestational age group. These results corroborate the hypothesis that the father's weight can also be relevant for the occurrence of LGA.

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BACKGROUND: In spontaneous pregnancies, maternal weight and gestational diabetes are independent risk factors for macrosomia and large-for-gestational-age newborns. Furthermore, maternal body mass index (BMI) of ≥25 kg/m2 is associated with worse neonatal vitality, classified as an Apgar score of < 7 at the fifth minute of life. However, few studies have evaluated the influence of BMI on perinatal outcomes in pregnancies resulting from assisted reproduction. Therefore, this study aimed to analyze whether the perinatal outcomes of assisted reproduction are influenced by BMI. METHODS: This was a retrospective cohort study performed at a reproductive medicine center. Patients undergoing assisted reproduction (2013-2020) were divided into three groups according to their BMI (kg/m2): group 1, < 25; group 2, 25-29.9, and group 3, ≥30. In total, 1753 in vitro fertilization embryo transfer cycles were analyzed. Data were expressed as mean ± standard deviation or frequency (%). The analysis of variance and chi-square test were performed for comparison. To determine the participants and number of cycles for these analyses, generalized estimating equations were used, considering p < 0.05. RESULTS: In groups 1, 2, and 3, the rates of live birth were 33.5, 32.3, and 29.9% (p = 0.668); preeclampsia were 2.9, 6.1, and 6.3% (p = 0.268); small-for-gestational-age newborns were 23, 23.2, and 21.7% (p = 0.965); macrosomia were 1.9, 0.9, and 2.7% (p = 0.708); Apgar score > 7 at the fifth minute were 97.6, 98.2, and 100% (p = 0.616); and preterm birth were 29.6, 30.1, and 35.1% (p = 0.970), respectively. CONCLUSIONS: In conclusion, although the three groups had similar perinatal outcomes in this study, the study population was too small for conclusive results. The higher the BMI, the lower the chances of clinically relevant LBR and the higher the chances of premature labor and preeclampsia.

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Objective: To evaluate the influence of maternal pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) on blood glucose levels at diagnosis of gestational diabetes mellitus (GDM) and obstetric/neonatal outcomes. Methods: Retrospective cohort study including 462 women with GDM and singleton pregnancy delivered in our institution between January 2015 and June 2018 and grouped according to BMI/GWG. Results: The diagnosis of GDM was more likely to be established in the 1st trimester (T) in women with obesity than in normal-weight (55.8% vs 53.7%, p = 0.008). BMI positively and significantly correlated with fasting plasma glucose (FPG) levels in the 1stT (rs = 0.213, p = 0.001) and 2ndT (rs = 0.210, p = 0.001). Excessive GWG occurred in 44.9% women with overweight and in 40.2% with obesity (p < 0.001). From women with obesity, 65.1% required pharmacological treatment (p < 0.001). Gestational hypertension (GH) was more frequent in women with obesity (p = 0.016). During follow-up, 132 cesareans were performed, the majority in mothers with obesity (p = 0.008). Of the 17 large-for-gestational-age (LGA) birthweight delivered, respectively 6 and 9 were offsprings of women with overweight and obesity (p = 0.019). Maternal BMI had a predictive value only for macrosomia [aOR 1.177 (1.006-1.376), p = 0.041]. BMI and GWG positively correlated with birthweight (rs = 0.132, p = 0.005; rs = 0.188, p = 0.005). Conclusion: Maternal obesity is related with a major probability of diagnosis of GDM in 1stT, fasting hyperglycemia in 2ndT and a more frequent need for pharmacological therapy. Pre-gestational obesity is associated with GH, cesarean delivery and fetal macrosomia.

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ABSTRACT Objective: This study aimed to evaluate gestational weight gain and birth weight in women with gestational diabetes mellitus of two Brazilian cohorts enrolled three decades apart. Methods: The authors compared data of 2362 women from the Lifestyle INtervention for Diabetes Prevention After Pregnancy study (LINDA-Brasil, 2014-2017) to those of 359 women from the Estudo Brasileiro de Diabetes Gestacional study (EBDG, 1991-1995). Gestational weight gain was classified by the 2009 Institute of Medicine criteria; large and small for gestational age newborns, by the Intergrowth-21st chart. Differences in birth weight means between pregestational BMI and gestational weight gain categories were evaluated by ANOVA; the associations of gestational weight gain and birth weight, through multivariable Poisson regression. Results: In LINDA-Brasil, women presented higher pregestational body mass index (30.3 ± 6.5 vs. 24.6 ± 4.4 kg/m2) and were frequently obese (46.4 vs. 11.1%) compared to those of the EBDG. In the EBDG, gestational weight gain was larger (11.3 ± 6.1 vs. 9.2 ± 7.6 kg) and rates of small for gestational age higher (7.5 vs. 4.5%) compared to LINDA-Brasil. In LINDA-Brasil, excessive gestational weight gain was associated to macrosomia (adjusted relative risk [aRR]: 1.59, 95% CI 1.08-2.35) and large for gestational age (aRR: 1.40; 95% CI 1.05-1.86); less gain increased the risk of low birth weight (aRR: 1.66; 95% CI 1.05-2.62) and small for gestational age (aRR: 1.79; 95% CI 1.03-3.11). These associations were similar in the EBDG, although not statistically significant. Conclusions: Improvements in gestational weight gain and rates of small for gestational age occurred over time in gestational diabetes mellitus pregnancies, accompanied by a worsening in maternal weight profile. This highlights the nutritional transition during this period and the importance of avoiding excessive gestational weight gain as well as promoting adequate weight before conception.

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OBJECTIVE: This study aimed to evaluate gestational weight gain and birth weight in women with gestational diabetes mellitus of two Brazilian cohorts enrolled three decades apart. METHODS: The authors compared data of 2362 women from the Lifestyle INtervention for Diabetes Prevention After Pregnancy study (LINDA-Brasil, 2014-2017) to those of 359 women from the Estudo Brasileiro de Diabetes Gestacional study (EBDG, 1991-1995). Gestational weight gain was classified by the 2009 Institute of Medicine criteria; large and small for gestational age newborns, by the Intergrowth-21st chart. Differences in birth weight means between pregestational BMI and gestational weight gain categories were evaluated by ANOVA; the associations of gestational weight gain and birth weight, through multivariable Poisson regression. RESULTS: In LINDA-Brasil, women presented higher pregestational body mass index (30.3±6.5 vs. 24.6±4.4kg/m2) and were frequently obese (46.4 vs. 11.1%) compared to those of the EBDG. In the EBDG, gestational weight gain was larger (11.3±6.1 vs. 9.2±7.6kg) and rates of small for gestational age higher (7.5 vs. 4.5%) compared to LINDA-Brasil. In LINDA-Brasil, excessive gestational weight gain was associated to macrosomia (adjusted relative risk [aRR]: 1.59, 95% CI 1.08-2.35) and large for gestational age (aRR: 1.40; 95% CI 1.05-1.86); less gain increased the risk of low birth weight (aRR: 1.66; 95% CI 1.05-2.62) and small for gestational age (aRR: 1.79; 95% CI 1.03-3.11). These associations were similar in the EBDG, although not statistically significant. CONCLUSIONS: Improvements in gestational weight gain and rates of small for gestational age occurred over time in gestational diabetes mellitus pregnancies, accompanied by a worsening in maternal weight profile. This highlights the nutritional transition during this period and the importance of avoiding excessive gestational weight gain as well as promoting adequate weight before conception.

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ABSTRACT Objective The aim of this study was to evaluate the impact of pre-pregnancy body mass index (BMI) on pregnancy outcomes in women with gestational diabetes (GD). Subjects and methods Retrospective multicenter study using data from the Portuguese National Register. We included women with GD with a singleton pregnancy. GD diagnosis was according to the International Association of the Diabetes and Pregnancy Study Group criteria. Women were divided into groups according to their pre-pregnancy BMI: < 18.5 kg/m2 (underweight), ≥ 18.5 and < 25.0 kg/m2 (normal weight), ≥ 25 and < 30 kg/m2 (overweight) and ≥ 30 kg/m2 (obese). Results We included 3,103 pregnant women with GD, 29.6% (n = 918) were overweight and 27.3% (n = 846) were obese. Compared to normal weight, the overweight and obese groups had a higher percentage of gestational hypertension (4.0% and 8.5% vs. 2.1%), cesarean delivery (32.8% and 41.3% vs. 27.9%), macrosomia (3.9% and 6.7% vs. 2.4%), and large for gestational age (LGA) newborns (8.3% and 13.5% vs. 6.0%). Obesity increased the risk of gestational hypertension (OR 4.5, p < 0.001), preeclampsia (OR 1.9, p = 0.034), cesarean delivery (OR 2.0, p < 0.001), macrosomia (OR 3.1, p < 0.001) and LGA (OR 2.3, p < 0.001). Conclusion In pregnant women with GD, pregnancy complications increase with pre-pregnancy BMI. In obese women, appropriate diet and counseling prior to gestation and more aggressive medical intervention during pregnancy are needed in order to prevent macrosomic and LGA newborns and to reduce maternal complications.

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Objective The aim of this study was to evaluate the impact of pre-pregnancy body mass index (BMI) on pregnancy outcomes in women with gestational diabetes (GD). Subjects and methods Retrospective multicenter study using data from the Portuguese National Register. We included women with GD with a singleton pregnancy. GD diagnosis was according to the International Association of the Diabetes and Pregnancy Study Group criteria. Women were divided into groups according to their pre-pregnancy BMI: < 18.5 kg/m2 (underweight), ≥ 18.5 and < 25.0 kg/m2 (normal weight), ≥ 25 and < 30 kg/m2 (overweight) and ≥ 30 kg/m2 (obese). Results We included 3,103 pregnant women with GD, 29.6% (n = 918) were overweight and 27.3% (n = 846) were obese. Compared to normal weight, the overweight and obese groups had a higher percentage of gestational hypertension (4.0% and 8.5% vs. 2.1%), cesarean delivery (32.8% and 41.3% vs. 27.9%), macrosomia (3.9% and 6.7% vs. 2.4%), and large for gestational age (LGA) newborns (8.3% and 13.5% vs. 6.0%). Obesity increased the risk of gestational hypertension (OR 4.5, p < 0.001), preeclampsia (OR 1.9, p = 0.034), cesarean delivery (OR 2.0, p < 0.001), macrosomia (OR 3.1, p < 0.001) and LGA (OR 2.3, p < 0.001). Conclusion In pregnant women with GD, pregnancy complications increase with pre-pregnancy BMI. In obese women, appropriate diet and counseling prior to gestation and more aggressive medical intervention during pregnancy are needed in order to prevent macrosomic and LGA newborns and to reduce maternal complications.

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OBJECTIVE: To evaluate the clinical factors, as well as weight gain, in a group of pregnant women, associating them with fetal macrosomia in a public institution in Antioquia, Colombia, from 2010-2017. METHODS: A case-control study, using secondary information registries. Cases were defined using newborn weight of ≥ 4000g, while controls were defined as newborn weight between 3000-3999g. A proportion ratio (PR) was established to evaluate factors associated with macrosomia, and a generalized linear model (GLM) of Poisson regression with robust variance was used to evaluate the aspects that best explained macrosomia in the neonate. RESULTS: 122 pregnant women participated in the study, of which 611 were cases and 61 were controls. Of the participants, 44.3% had pre-pregnancy overweight and 48.4% had excess gestational weight gain. Statistically significant differences were found between the groups in the following variables: pre-pregnancy BMI (p = 0.004), gestational weight gain (p = 0.000), gestational diabetes (p = 0.000), and type of delivery (p = 0.004). According to the regression model, a macrosomic newborn is 3.5 times more likely in women with excessive gestational weight gain (95%CI 1.78-7.18) and twice more likely in women who have gestational diabetes (95%CI 1.51-2.76). Of women with pre-pregnancy excess weight, 63% had excess gestational weight gain. CONCLUSIONS: Within this cohort, pre-pregnancy BMI, excess weight gain in pregnancy, and the presence of gestational diabetes were associated with an increased risk of neonatal macrosomia. pre-pregnancy BMI and weight gain in pregnancy are modifiable risk factors that are responsive to nutrition interventions, which can minimize adverse perinatal outcomes.

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OBJECTIVE: The present study aims to compare the maternal and fetal outcomes of parturients with and without a gestational diabetes diagnosis. METHODS: A case-control study including parturients with (cases) and without (control) a gestational diabetes diagnosis, who delivered at a teaching hospital in Southern Brazil, between May and August 2018. Primary and secondary data were used. Bivariate analysis and a backward conditional multivariate logistic regression were used to make comparisons between cases and controls, which were expressed by odds ratio (OR), with a 95% confidence interval (95%CI) and a statistical significance level of 5%. RESULTS: The cases (n = 47) were more likely to be 35 years old or older compared with the controls (n = 93) (p < 0.001). The cases had 2.56 times greater chance of being overweight (p = 0.014), and a 2.57 times greater chance of having a positive family history of diabetes mellitus (p = 0.01). There was no significant difference regarding weight gain, presence of a previous history of gestational diabetes, height, or delivery route. The mean weight at birth was significantly higher in the infants of mothers diagnosed with diabetes (p = 0.01). There was a 4.7 times greater chance of macrosomia (p < 0.001) and a 5.4 times greater chance of neonatal hypoglycemia (p = 0.01) in the infants of mothers with gestational diabetes. CONCLUSION: Therefore, maternal age, family history of type 2 diabetes, obesity and pregestational overweightness are important associated factors for a higher chance of developing gestational diabetes.

OBJETIVO: O presente estudo tem como objetivo comparar os desfechos maternos e fetais das parturientes com e sem diagnóstico de diabetes gestacional. MéTODOS: Estudo caso-controle, incluindo parturientes com (casos) e sem (controle) diagnóstico de diabetes gestacional, que tiveram parto em um hospital de ensino no Sul do Brasil, entre maio e agosto de 2018. Foram utilizados dados primários e secundários. Análise bivariada e regressão logística multivariada condicional retrógrada foram utilizadas para fazer comparações entre casos e controles, expressas por razão de probabilidades (RP), com intervalo de confiança de 95% (IC95%) e nível de significância estatística de 5%. RESULTADOS: Os casos (n = 47) tiveram maior chance de ter idade superior a 35 anos em comparação com os controles (n = 93) (p < 0,001), chance 2,56 vezes maior de estarem acima do peso (p = 0,014), e chance 2,57 vezes maior de terem história familiar positiva de diabetes mellitus (p = 0,01). Não houve diferença significativa relacionada ao ganho de peso, história pregressa de diabetes gestacional, estatura ou via de parto. O peso médio ao nascer foi significativamente maior nos lactentes de mães com diabetes gestacional (p = 0,01). Houve 4,7 vezes maior chance de macrossomia (p < 0,001), e 5,4 vezes maior chance de hipoglicemia neonatal (p = 0,01) em lactentes de mães com diabetes gestacional. CONCLUSãO: Portanto, idade materna, história familiar de diabetes tipo 2, obesidade e excesso de peso pré-gestacional são importantes fatores associados a uma maior chance de desenvolvimento de diabetes gestacional.

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Abstract Objective The present study aims to compare the maternal and fetal outcomes of parturients with and without a gestational diabetes diagnosis. Methods A case-control study including parturients with (cases) and without (control) a gestational diabetes diagnosis, who delivered at a teaching hospital in Southern Brazil, between May and August 2018. Primary and secondary data were used. Bivariate analysis and a backward conditionalmultivariate logistic regression were used to make comparisons between cases and controls, which were expressed by odds ratio (OR), with a 95% confidence interval (95%CI) and a statistical significance level of 5%. Results The cases (n=47) weremore likely to be 35 years old or older compared with the controls (n=93) (p<0.001). The cases had 2.56 times greater chance of being overweight (p=0.014), and a 2.57 times greater chance of having a positive family history of diabetes mellitus (p=0.01). There was no significant difference regarding weight gain, presence of a previous history of gestational diabetes, height, or delivery route. The mean weight at birth was significantly higher in the infants of mothers diagnosed with diabetes (p=0.01). There was a 4.7 times greater chance of macrosomia (p<0.001) and a 5.4 times greater chance of neonatal hypoglycemia (p=0.01) in the infants of mothers with gestational diabetes. Conclusion Therefore, maternal age, family history of type 2 diabetes, obesity and pregestational overweightness are important associated factors for a higher chance of developing gestational diabetes.

Resumo Objetivo O presente estudo tem como objetivo comparar os desfechos maternos e fetais das parturientes com e sem diagnóstico de diabetes gestacional. Métodos Estudo caso-controle, incluindo parturientes com (casos) e sem (controle) diagnóstico de diabetes gestacional, que tiveram parto em um hospital de ensino no Sul do Brasil, entre maio e agosto de 2018. Foram utilizados dados primários e secundários. Análise bivariada e regressão logística multivariada condicional retrógrada foram utilizadas para fazer comparações entre casos e controles, expressas por razão de probabilidades (RP), com intervalo de confiança de 95% (IC95%) e nível de significância estatística de 5%. Resultados Os casos (n=47) tiveram maior chance de ter idade superior a 35 anos em comparação com os controles (n=93) (p<0,001), chance 2,56 vezes maior de estarem acima do peso (p=0,014), e chance 2,57 vezes maior de terem história familiar positiva de diabetes mellitus (p=0,01). Não houve diferença significativa relacionada ao ganho de peso, história pregressa de diabetes gestacional, estatura ou via de parto. O peso médio ao nascer foi significativamente maior nos lactentes de mães com diabetes gestacional (p=0,01). Houve 4,7 vezes maior chance de macrossomia (p<0,001), e 5,4 vezes maior chance de hipoglicemia neonatal (p=0,01) em lactentes de mães com diabetes gestacional. Conclusão Portanto, idade materna, história familiar de diabetes tipo 2, obesidade e excesso de peso pré-gestacional são importantes fatores associados a uma maior chance de desenvolvimento de diabetes gestacional.

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Pregnancy has been equated to a "stress test" in which placental hormones and growth factors expose a mother's predisposition toward metabolic disease, unleashing her previously occult insulin resistance (IR), mild ß-cell dysfunction, and glucose and lipid surplus due to the formidable forces of pregnancy-induced IR. Although pregnancy-induced IR is intended to assure adequate nutrition to the fetus and placenta, in mothers with obesity, metabolic syndrome, or those who develop gestational diabetes mellitus, this overnutrition to the fetus carries a lifetime risk for increased metabolic disease. Norbert Freinkel, nearly 40 years ago, coined this excess intrauterine nutrient exposure and subsequent offspring developmental risk "fuel-mediated teratogenesis," not limited to only excess maternal glucose. Our attempts to better elucidate the causes and mechanisms behind this double-edged IR of pregnancy, to metabolically characterize the intrauterine environment that results in changes in newborn body composition and later childhood obesity risk, and to examine potential therapeutic approaches that might target maternal metabolism are the focus of this article. Rapidly advancing technologies in genomics, proteomics, and metabolomics offer us innovative approaches to interrogate these metabolic processes in the mother, her microbiome, the placenta, and her offspring that contribute to a phenotype at risk for future metabolic disease. If we are successful in our efforts, the researcher, endocrinologist, obstetrician, and health care provider fortunate enough to care for pregnant women have the unique opportunity to positively impact health outcomes not only in the short term but in the long run, not just in one life but in two-and possibly, for the next generation.

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Abstract Objective: To describe the main predictors for excess birth weight in Brazilian children. Data sources: Systematic review carried out in the bibliographic databases: PubMed/MEDLINE, Cochrane, Scopus, Web of Science, and LILACS. The research in the gray literature was performed using the Google Scholar database. The bias risk analysis was adapted from the Downs and Black scale, used to evaluate the methodology of the included studies. Data synthesis: Using the classifications of fetal macrosomia (>4.000 g or ≥4.000 g) and large for gestational age (above the 90th percentile), 64 risk factors for excess birth weight were found in 33 scientific articles in the five regions of the country. Of the 64 risk factors, 31 were significantly associated with excess birth weight, with excess gestational weight gain, pre-gestational body mass index ≥25 kg/m2, and gestational diabetes mellitus being the most prevalent. Conclusion: The main predictors for excess birth weight in Brazil are modifiable risk factors. The implementation of adequate nutritional status in the gestational period and even after childbirth appears to be due to the quality and frequency of the follow-up of the mothers and their children by public health agencies.

Resumo Objetivo: Descrever os principais preditores para o excesso de peso ao nascer em crianças brasileiras. Fontes dos dados: Revisão sistemática feita nos bancos de dados bibliográficos: PubMed/Medline, Cochrane, Scopus, Web of Science e Lilacs. A pesquisa na literatura cinzenta foi feita na base de dados Google Acadêmico. A análise do risco de viés foi adaptada da escala de Downs e Black, usada para avaliar a metodologia dos estudos incluídos. Síntese dos dados: Com o uso das classificações macrossomia fetal (> 4.000 g ou ≥ 4.000 g) e grande para idade gestacional acima do percentil 90, foram encontrados 64 fatores de risco para excesso de peso ao nascer em 33 artigos científicos nas cinco regiões do país. Dos 64 fatores de risco, 31 foram significativamente associados a excesso de peso ao nascer, os mais prevalentes foram ganho de peso gestacional excessivo, índice de massa corporal pré-gestacional ≥25 kg/m2 e diabetes mellitus gestacional. Conclusão: Os principais preditores para o excesso de peso ao nascer no Brasil são fatores de risco modificáveis. O estabelecimento de um estado nutricional adequado no período gestacional e mesmo após o parto parece ser a qualidade e a frequência do acompanhamento dos órgãos de saúde junto às mães e seus filhos.

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Diabetes during pregnancy has been linked to unfavorable maternal-fetal outcomes. Human insulins are the first drug of choice because of the proven safety in their use. However, there are still questions about the use of insulin analogs during pregnancy. The objective of the present study was to determine the effectiveness of insulin analogs compared with human insulin in the treatment of pregnant women with diabetes through a systematic review with meta-analysis. The search comprised the period since the inception of each database until July 2017, and the following databases were used: MEDLINE, CINAHL, EMBASE, ISI Web of Science, LILACS, Scopus, SIGLE and Google Scholar. We have selected 29 original articles: 11 were randomized clinical trials and 18 were observational studies. We have explored data from 6,382 participants. All of the articles were classified as having an intermediate to high risk of bias. The variable that showed favorable results for the use of insulin analogs was gestational age, with a mean difference of - 0.26 (95 % confidence interval [CI]: 0.03-0.49; p = 0.02), but with significant heterogeneity (Higgins test [I2] = 38%; chi-squared test [χ2] = 16.24; degree of freedom [DF] = 10; p = 0.09). This result, in the clinical practice, does not compromise the fetal well-being, since all babies were born at term. There was publication bias in the gestational age and neonatal weight variables. To date, the evidence analyzed has a moderate-to-high risk of bias and does not allow the conclusion that insulin analogs are more effective when compared with human insulin to treat diabetic pregnant women.

Diabetes durante a gestação tem sido relacionado a desfechos materno-fetais desfavoráveis. As insulinas humanas são a primeira escolha medicamentosa, devido à comprovada segurança no seu uso. Entretanto, ainda há questionamentos sobre o uso dos análogos da insulina na gestação. O objetivo do presente estudo foi determinar a efetividade dos análogos da insulina comparados às insulinas humanas no tratamento de gestantes com diabetes por meio de uma revisão sistemática com metanálise. A busca compreendeu desde o início de cada base de dados até julho de 2017, e foi realizada nos seguintes bancos de dados: MEDLINE, CINAHL, EMBASE, ISI Web of Science, LILACS, Scopus, SIGLE e Google Scholar. Selecionamos 29 artigos originais, sendo 11 ensaios clínicos randomizados e 18 estudos observacionais. Exploramos dados de 6.382 participantes. Todos os artigos foram classificados como sendo de intermediário a alto risco de viés. A variável que demonstrou resultado favorável ao uso dos análogos da insulina foi idade gestacional, com uma diferença média de - 0.26 (95% índice de confiança [IC]: 0.03­0.49; p = 0.02), porém com heterogeneidade significativa (teste de Higgins [I2] = 38%; teste do qui quadrado [χ2] =16.24; graus de liberdade [GL] =10; p = 0.09). Esse resultado, na prática clínica, não compromete o bem-estar fetal, uma vez que todos os bebês nasceram a termo. Houve viés de publicação nas variáveis idade gestacional e peso neonatal. Até o momento, as evidências analisadas possuem um risco de viés moderado a elevado e não permitem concluir que os análogos da insulina sejam mais efetivos em comparação às insulinas humanas para tratar gestantes diabéticas.

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Abstract Diabetes during pregnancy has been linked to unfavorable maternal-fetal outcomes. Human insulins are the first drug of choice because of the proven safety in their use. However, there are still questions about the use of insulin analogs during pregnancy. The objective of the present study was to determine the effectiveness of insulin analogs compared withhuman insulin in the treatment of pregnant women with diabetes througha systematic review withmeta-analysis. The search comprised the period since the inception of each database until July 2017, and the following databases were used:MEDLINE, CINAHL, EMBASE, ISIWeb of Science, LILACS, Scopus, SIGLE andGoogle Scholar.We have selected 29 original articles: 11 were randomized clinical trials and 18 were observational studies.We have explored data from 6,382 participants. All of the articles were classified as having an intermediate to high risk of bias. The variable that showed favorable results for the use of insulin analogs was gestational age, with a mean difference of - 0.26 (95 % confidence interval [CI]: 0.03-0.49; p = 0.02), but with significant heterogeneity (Higgins test [I2] = 38%; chi-squared test [χ2] = 16.24; degree of freedom [DF] = 10; p = 0.09). This result, in the clinical practice, does not compromise the fetal well-being, since all babies were born at term. There was publication bias in the gestational age and neonatal weight variables. To date, the evidence analyzed has a moderate-to-high risk of bias and does not allow the conclusion that insulin analogs are more effective when compared with human insulin to treat diabetic pregnant women.

Resumo Diabetes durante a gestação tem sido relacionado a desfechos materno-fetais desfavoráveis. As insulinas humanas são a primeira escolha medicamentosa, devido à comprovada segurança no seu uso. Entretanto, ainda há questionamentos sobre o uso dos análogos da insulina na gestação. O objetivo do presente estudo foi determinar a efetividade dos análogos da insulina comparados às insulinas humanas no tratamento de gestantes com diabetes por meio de uma revisão sistemática com metanálise. A busca compreendeu desde o início de cada base de dados até julho de 2017, e foi realizada nos seguintes bancos de dados: MEDLINE, CINAHL, EMBASE, ISI Web of Science, LILACS, Scopus, SIGLE e Google Scholar. Selecionamos 29 artigos originais, sendo 11 ensaios clínicos randomizados e 18 estudos observacionais. Exploramos dados de 6.382 participantes. Todos os artigos foram classificados como sendo de intermediário a alto risco de viés. A variável que demonstrou resultado favorável ao uso dos análogos da insulina foi idade gestacional, com uma diferençamédia de - 0.26 (95% índice de confiança [IC]: 0.03-0.49; p = 0.02), porém com heterogeneidade significativa (teste de Higgins [I2] = 38%; teste do qui quadrado [χ2] =16.24; graus de liberdade [GL] =10; p = 0.09). Esse resultado, na prática clínica, não compromete o bem-estar fetal, uma vez que todos os bebês nasceram a termo. Houve viés de publicação nas variáveis idade gestacional e peso neonatal. Até o momento, as evidências analisadas possuem um risco de viés moderado a elevado e não permitem concluir que os análogos da insulina sejam mais efetivos em comparação às insulinas humanas para tratar gestantes diabéticas.

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OBJECTIVE: To describe the main predictors for excess birth weight in Brazilian children. DATA SOURCES: Systematic review carried out in the bibliographic databases: PubMed/MEDLINE, Cochrane, Scopus, Web of Science, and LILACS. The research in the gray literature was performed using the Google Scholar database. The bias risk analysis was adapted from the Downs and Black scale, used to evaluate the methodology of the included studies. DATA SYNTHESIS: Using the classifications of fetal macrosomia (>4.000g or ≥4.000g) and large for gestational age (above the 90th percentile), 64 risk factors for excess birth weight were found in 33 scientific articles in the five regions of the country. Of the 64 risk factors, 31 were significantly associated with excess birth weight, with excess gestational weight gain, pre-gestational body mass index ≥25kg/m2, and gestational diabetes mellitus being the most prevalent. CONCLUSION: The main predictors for excess birth weight in Brazil are modifiable risk factors. The implementation of adequate nutritional status in the gestational period and even after childbirth appears to be due to the quality and frequency of the follow-up of the mothers and their children by public health agencies.

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Gestational diabetes mellitus (GDM) is a disease characterised by glucose intolerance and first diagnosed in pregnancy. This condition relates to an anomalous placental environment and aberrant placental vascular function. GDM-associated hyperglycaemia changes the placenta structure leading to abnormal development and functionality of this vital organ. Aiming to avoid the GDM-hyperglycaemia and its deleterious consequences in the mother, the foetus and newborn, women with GDM are firstly treated with a controlled diet therapy; however, some of the women fail to reach the recommended glycaemia values and therefore they are passed to the second line of treatment, i.e., insulin therapy. The several protocols available in the literature regarding insulin therapy are variable and not a clear consensus is yet reached. Insulin therapy restores maternal glycaemia, but this beneficial effect is not reflected in the foetus and newborn metabolism, suggesting that other factors than d-glucose may be involved in the pathophysiology of GDM. Worryingly, insulin therapy may cause alterations in the placenta and umbilical vessels as well as the foetus and newborn additional to those seen in pregnant women with GDM treated with diet. In this review, we summarised the variable information regarding indications and protocols for administration of the insulin therapy and the possible outcomes on the function and structure of the foetoplacental unit and the neonate parameters from women with GDM.

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OBJECTIVE: We assessed maternal and perinatal outcomes in pregnant women with type 1 diabetes, treated with continuous subcutaneous insulin infusion and real time continuous glucose monitoring. METHODS: This is a retrospective study, analyzing the basal characteristics, glycemic control, maternal and perinatal outcomes of pregnant women with type 1 diabetes, who were on an insulin pump with continuous glucose monitoring between 2011 and 2015. RESULTS: Fourteen patients were included. The median age was 33 and disease duration 12 years. Indications for therapy were mainly poor glycemic control and severe hypoglycemia. The median A1c decrease was 1.02% between the first and third trimester. Pregnancies were associated with complications: 7.1% of the patients had diabetic ketoacidosis, 7.1% had an abortion, 28.5% gestational hypertension and 12.2% preeclampsia. The median gestational age at birth was 37 weeks and four days; the frequency of preterm birth was 7.1% and macrosomia 21.4%. There were no congenital malformations or perinatal death. CONCLUSIONS: Baseline characteristics and results of patients in this study were similar to those reported in the previous literature. Continuous subcutaneous insulin infusion with continuous glucose monitoring is an alternative treatment option for pregnant women with type 1 diabetes before or during pregnancy.

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Objectives To study the independent effect of pre-pregnancy weight, gestational weight gain (GWG), and other important risk factors on newborn birth weight. Methods Baseline data of 435 adult women and their singletons born between January and February 2012 at a public hospital in Brazil were used. Logistic regression was applied to determine the independent importance of pre-pregnancy weight and GWG for large for gestational age (LGA) newborns. Results Among all mothers, 37.9 % were overweight and obese before pregnancy and 45.3 % experienced excessive GWG. Among the newborns, 24.4 % were classified as LGA. Univariate analysis showed an association of family income, GWG, pre-pregnancy BMI and excessive GWG with LGA newborns. Smoking before and during pregnancy was associated with a decreased likelihood of giving birth to an LGA newborn compared to mothers who did not smoke. After adjustment for confounding variables, age at birth of first child, GWG, HbA1c and pre-pregnancy weight-GWG were significant and independent determinants of giving birth to an LGA newborn. Mothers with pre-pregnancy overweight and excessive GWG were more likely to deliver an LGA newborn (OR 2.54, P < 0.05) compared to mothers who were normal weight and experienced adequate GWG. Conclusions for Practice Age at first birth of child, GWG, HbA1c and pre-pregnancy overweight combined with excessive GWG are independent determinants of LGA newborns. The results of this study suggest that both primary prevention of overweight in women of childbearing age and management of GWG may be important strategies to reduce the number of LGA newborns and, consequently, the long-term public health burden of obesity.

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