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.

A Brazilian cohort of pregnant women with overt diabetes: analyses of risk factors using a machine learning technique.

Objective: Pregnancy complicated by type 2 diabetes is rising, while data on type 2 diabetes first diagnosed in pregnancy (overt diabetes) are scarce. We aimed to describe the frequency and characteristics of pregnant women with overt diabetes, compare them to those with known pregestational diabetes, and evaluate the potential predictors for the diagnosis of overt diabetes. Subjects and methods: A retrospective cohort study including all pregnant women with type 2 diabetes evaluated in two public hospitals in Porto Alegre, Brazil, from May 20, 2005, to June 30, 2021. Classic and obstetric factors associated with type 2 diabetes risk were compared between the two groups, using machine learning techniques and multivariable analysis with Poisson regression. Results: Overt diabetes occurred in 33% (95% confidence interval: 29%-37%) of 646 women. Characteristics of women with known or unknown type 2 diabetes were similar; excessive weight was the most common risk factor, affecting ~90% of women. Age >30 years and positive family history of diabetes were inversely related to a diagnosis of overt diabetes, while previous delivery of a macrosomic baby behaved as a risk factor in younger multiparous women; previous gestational diabetes and chronic hypertension were not relevant risk factors. Conclusion: Characteristics of women with overt diabetes are similar to those of women with pregestational diabetes. Classic risk factors for diabetes not included in current questionnaires can help identify women at risk of type 2 diabetes before they become pregnant.

A Brazilian cohort of pregnant women with overt diabetes: analyses of risk factors using a machine learning technique

ABSTRACT Objective: Pregnancy complicated by type 2 diabetes is rising, while data on type 2 diabetes first diagnosed in pregnancy (overt diabetes) are scarce. We aimed to describe the frequency and characteristics of pregnant women with overt diabetes, compare them to those with known pregestational diabetes, and evaluate the potential predictors for the diagnosis of overt diabetes. Subjects and methods: A retrospective cohort study including all pregnant women with type 2 diabetes evaluated in two public hospitals in Porto Alegre, Brazil, from May 20, 2005, to June 30, 2021. Classic and obstetric factors associated with type 2 diabetes risk were compared between the two groups, using machine learning techniques and multivariable analysis with Poisson regression. Results: Overt diabetes occurred in 33% (95% confidence interval: 29%-37%) of 646 women. Characteristics of women with known or unknown type 2 diabetes were similar; excessive weight was the most common risk factor, affecting ~90% of women. Age >30 years and positive family history of diabetes were inversely related to a diagnosis of overt diabetes, while previous delivery of a macrosomic baby behaved as a risk factor in younger multiparous women; previous gestational diabetes and chronic hypertension were not relevant risk factors. Conclusion: Characteristics of women with overt diabetes are similar to those of women with pregestational diabetes. Classic risk factors for diabetes not included in current questionnaires can help identify women at risk of type 2 diabetes before they become pregnant.

Exploring the Gantt chart as a tool to highlight double report in case series published during the first wave of the COVID-19 pandemic.

BACKGROUND: During the COVID-19 pandemic, some studies describing different aspects of the infection included very similar participants, rising suspicion about double reporting. We aimed to evaluate the Gantt chart as a tool to highlight possible double reporting. The chart is routinely used in business applications to depict tasks of a project, by plotting horizontal bars against time, showing their time span and overlaps. METHODS: All case reports and case series of pregnant women with COVID-19, published by July 15, 2020, were included. Initial and final dates of participants' enrollment, country, city, hospital, and number of pregnancies were plotted in the Gantt chart. Bars stand for enrollment dates of each study, according to hospital and city, thus allowing comparisons. RESULTS: We included 116 articles in the present analysis. The Gantt chart highlighted papers in which some participants were likely the same, thus allowing easier identification of double reporting of cases. Combining all information and pregnancy characteristics and outcomes helped to recognize duplications when the authors did not acknowledged the previous publication. CONCLUSIONS: Unintended double reporting may occur, especially in exceptional times. The Gantt chart may help researchers to visually identify potential duplications, thus avoiding biased estimates in systematic reviews or meta-analysis.

A snapshot of the prevalence of endocrine disorders in pregnancies complicated by coronavirus disease 2019: A narrative review with meta-analysis.

BACKGROUND: Some maternal characteristics indicate worse prognosis in pregnant women with coronavirus disease 2019 (COVID-19). OBJECTIVE: To describe the prevalence of endocrine disorders in pregnancies involving COVID-19, and its impact on maternal outcomes. SEARCH STRATEGY: Search terms were "pregnancy" and "COVID-19". SELECTION: PubMed, Embase, medRxiv, and Cochrane worksheet from February to July 2020 were searched. DATA COLLECTION AND ANALYSIS: Articles describing endocrine disorders in pregnancies with and without COVID-19 involvement were considered. We performed meta-analyses of prevalence using random-effect models and estimated relative risk and 95% confidence intervals (CI) of maternal outcomes relative to presence of endocrine disorders. MAIN RESULTS: Articles included (n = 141) were divided into three data sets: individual (119 articles, 356 women), case series (17 articles, 1064 women), and national registries (7 articles, 10 178 women). Prevalence of obesity ranged from 16% to 46% and hyperglycemia in pregnancy (HIP) ranged from 8% to 12%. In data set 1, HIP and obesity were risk factors for severe disease in crude and age-adjusted models, although not for intensive care unit admission. In data from two national registries, risk of dying was 5.62 (95% CI 0.30-105.95) in women with diabetes and 2.26 (95% CI 1.03-4.96) in those with obesity. CONCLUSION: Obesity and HIP were prevalent in pregnant women with severe COVID-19.

Influence of maternal weight gain on birth weight: a gestational diabetes cohort.

Objective Our objective was to evaluate gestational weight gain (GWG) patterns and their relation to birth weight. Subjects and methods We prospectively enrolled 474 women with gestational diabetes mellitus (GDM) at a university hospital (Porto Alegre, Brazil, November 2009-May 2015). GWG was categorized according to the 2009 Institute of Medicine guidelines; birth weight was classified as large (LGA) or small (SGA) for gestational age. Adjusted relative risks (aRRs) and 95% confidence intervals (95% CIs) were determined. Results Adequate GWG occurred in 121 women [25.5%, 95% CI: 22, 30%]; excessive, in 180 [38.0%, 95% CI: 34, 43%]; and insufficient, in 173 [36.5%, 95% CI: 32, 41%]. In women with normal body mass index (BMI), the prevalence of SGA was higher in those with insufficient compared to adequate GWG (30% vs. 0%, p < 0.001). In women with BMI ≥ 25 kg/m2, excessive GWG increased the prevalence of LGA [aRR 2.58, 95% CI: 1.06, 6.29] and protected from SGA [aRR 0.25, 95% CI: 0.10, 0.64]. Insufficient vs. adequate GWG did not influence the prevalence of SGA [aRR 0.61, 95% CI: 0.31, 1.22]; insufficient vs. excessive GWG protected from LGA [aRR 0.46, 95% CI: 0.23, 0.91]. Conclusions One quarter of this cohort achieved adequate GWG, indicating that specific ranges have to be tailored for GDM. To prevent inadequate birth weight, excessive GWG in women with higher BMI and less than recommended GWG in normal BMI women should be avoided; less than recommended GWG may be suitable for overweight and obese women.

Influence of maternal weight gain on birth weight: a gestational diabetes cohort

ABSTRACT Objective Our objective was to evaluate gestational weight gain (GWG) patterns and their relation to birth weight. Subjects and methods We prospectively enrolled 474 women with gestational diabetes mellitus (GDM) at a university hospital (Porto Alegre, Brazil, November 2009-May 2015). GWG was categorized according to the 2009 Institute of Medicine guidelines; birth weight was classified as large (LGA) or small (SGA) for gestational age. Adjusted relative risks (aRRs) and 95% confidence intervals (95% CIs) were determined. Results Adequate GWG occurred in 121 women [25.5%, 95% CI: 22, 30%]; excessive, in 180 [38.0%, 95% CI: 34, 43%]; and insufficient, in 173 [36.5%, 95% CI: 32, 41%]. In women with normal body mass index (BMI), the prevalence of SGA was higher in those with insufficient compared to adequate GWG (30% vs. 0%, p < 0.001). In women with BMI ≥ 25 kg/m2, excessive GWG increased the prevalence of LGA [aRR 2.58, 95% CI: 1.06, 6.29] and protected from SGA [aRR 0.25, 95% CI: 0.10, 0.64]. Insufficient vs. adequate GWG did not influence the prevalence of SGA [aRR 0.61, 95% CI: 0.31, 1.22]; insufficient vs. excessive GWG protected from LGA [aRR 0.46, 95% CI: 0.23, 0.91]. Conclusions One quarter of this cohort achieved adequate GWG, indicating that specific ranges have to be tailored for GDM. To prevent inadequate birth weight, excessive GWG in women with higher BMI and less than recommended GWG in normal BMI women should be avoided; less than recommended GWG may be suitable for overweight and obese women.

Low Gestational Weight Gain in Obese Women and Pregnancy Outcomes.

Obesity during pregnancy and excessive weight gain during this period are associated with several maternal-fetal and neonatal complications. Moreover, a significant percentage of women have weight retention in the postpartum period, especially those with excessive weight gain during pregnancy. The recommendations of the 2009 Institute of Medicine were based on observational studies that have consistently shown that women with weight gain within the recommended range had better outcomes during pregnancy. In patients with obesity, however, there is no recommendation for weight gain, according to the class of obesity. This review, therefore, aims to evaluate the evidence on key maternal and fetal complications related to low weight gain during pregnancy in obese and overweight patients.

Serum vitamin D insufficiency is related to blood pressure in diabetic pregnancy.

BACKGROUND: Vitamin D deficiency in pregnancy has been associated with an increased risk of preeclampsia. However, the association between serum vitamin D and blood pressure in pregnant women has been scarcely evaluated, particularly in women with a high risk of developing hypertensive disorders of pregnancy. We sought to evaluate the association between serum 25-hydroxyvitamin D and blood pressure in pregnant women with gestational diabetes mellitus (GDM). METHODS: A cohort of 184 pregnant women with GDM was followed during the third trimester of pregnancy and early puerperium. Blood pressure was recorded in all prenatal visits, and serum vitamin D was measured by chemiluminescence immunoassay. Pearson's coefficients and multiple linear regressions were used to study predictors of blood pressure levels. RESULTS: Women with vitamin D insufficiency (<30ng/mL; n = 159) had higher systolic and diastolic blood pressure than the remaining participants. In white women (n = 136), serum vitamin D levels presented a significant negative correlation with systolic blood pressure at the beginning (r = -0.268; P = 0.002) and at the end of the third trimester (r = -0.203; P = 0.02), and vitamin D significantly affected systolic blood pressure after adjusting for confounders. This was not observed in women of other ethnicities. CONCLUSIONS: In this cohort of pregnant women with GDM, vitamin D insufficiency was associated with higher blood pressure, and in white women, serum vitamin D was an independent predictor of systolic blood pressure during pregnancy.

Effect of nonsurgical periodontal therapy and strict plaque control on preterm/low birth weight: a randomized controlled clinical trial.

OBJECTIVE: This randomized controlled clinical trial was carried out to assess the effect of comprehensive nonsurgical periodontal treatment and strict plaque control performed during pregnancy on the reduction of preterm and/or low birth weight rates (PTLBW). MATERIAL AND METHODS: Three hundred and three women were randomly allocated to receive periodontal treatment either during pregnancy (n = 147, test group) or after delivery (n = 156, control group). During pregnancy, the control group received only one session of supragingival scaling and oral hygiene instruction. In contrast, the test group received comprehensive periodontal treatment including multiple sessions of scaling and root planing, oral hygiene instructions, and frequent maintenance visits. RESULTS: At baseline, periodontal inflammation was observed in approximately 50% of sites and attachment loss affected <15% of sites. Compared to controls, women in the test group had significant reductions in the percentage of sites with plaque (48.5% vs. 10.3%, p < 0.001), gingival bleeding (23.3% vs. 2.5%, p < 0.001), calculus (21.3% vs. 4.1%, p < 0.001), bleeding on probing (38.1% vs. 2.6%, p < 0.001) and probing depth ≥3 mm (19.97% vs. −2.45%, p < 0.001). No significant differences were observed between the groups in the occurrence of PT (11.7% vs. 9.1%, p = 0.57), LBW (5.6 % vs. 4.1%, p = 0.59), and PTLBW (4.15% vs. 2.60%, p = 0.53). CONCLUSIONS: Comprehensive periodontal treatment and strict plaque control significantly improved periodontal health; however, no reduction of PTLBW rates was observed. Thus, remaining periodontal inflammation posttreatment cannot explain the lack of effect of periodontal treatment on PTLBW. Clinical relevance This study demonstrated that periodontal diseases may be successfully treated during pregnancy. Our results do not support a potential beneficial effect of periodontal treatment on PTLBW.

Recomendações da 2ª reunião do grupo de trabalho em diabetes e gravidez / Guidelines of the 2nd meeting of the diabetes and pregnancy task force

O Grupo de Trabalho em Diabetes e Gravidez, reunido durante o XI Congresso Brasileiro de Diabetes em 1997, elaborou normas para o manejo do diabetes gestacional e pré-gestacional. Em 2001, nova reunião ocorreu visando atualizar os posicionamentos assumidos em 1997, a partir de novas evidências da literatura. As mudanças sugeridas estão incorporadas no documento a seguir. O rastreamento do diabetes gestacional deve ser universal e, para isso, é sugerido o emprego da glicemia de jejum a partir da 2ª semana de gestação. Os pontos de corte para classificação de rastreamento positivo são 85mg/dl ou 90mg/dl; nos casos de rastreamento positivo, o exame recomendado é o teste oral de tolerância com 75g de glicose e os critérios para o diagnóstico do diabetes gestacional são glicemia de jejum >/=110mg/dl ou glicemia de 2h >/=140mg/dl. São apresentadas também estratégias de manejo metabólico e obstétrico do diabetes gestacional e do diabetes pré-gestacional.