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.

Temporal changes in characteristics and outcomes among pregnant women with pre-gestational diabetes.

OBJECTIVE: To evaluate pregnancy outcomes among women with pre-gestational diabetes. METHODS: Retrospective analysis of pregnant women with type 1 or type 2 diabetes attending a university hospital in Brazil. Maternal characteristics and pregnancy outcomes were compared among deliveries between May 1, 2005, and December 31, 2010, and between January 1, 2011, and December 31, 2015. Risks were calculated by Poisson regression. RESULTS: In total 220 women were included. Type 1 diabetes was more frequent in 2005-2010 than in 2011-2015, and type 2 diabetes was more frequent in 2011-2015 (P=0.005). History of macrosomia (P=0.011), hypertensive disorders of pregnancy (P=0.015), and pre-gestational excess weight (body mass index >25 kg/m2 ; P=0.003) was more frequent in 2011-2015. For women with type 1 diabetes, pre-gestational weight (P=0.007) and glycated hemoglobin (P=0.026) were higher in 2011-2015. For women with type 2 diabetes, previous hypertensive disorders of pregnancy (P=0.032) were more prevalent and family history of diabetes (P<0.001) less prevalent in 2011-2015. Adverse pregnancy outcomes were similar for type 1 and type 2, and across both periods. CONCLUSION: Type 2 diabetes became more common over the two time periods and women with type 1 diabetes had higher pre-gestational weight. Perinatal outcomes were similar.

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.

Return to work after renal transplantation: a study of the Brazilian Public Social Security System.

BACKGROUND: Return to work is an objective parameter used worldwide to evaluate the success of organ transplantation and is especially feasible after renal transplantation. This study sought to describe the frequency of return to work after renal transplantation and related characteristics. METHODS: Retrospective cohort of 511 isolated kidney transplant recipients was recruited from a Brazilian referral center from January 2005 to December 2009; all were matched to the public social security database to determine inclusion and benefit awards, as well as the rate of resumption of contributions to the public social security system, a surrogate marker of work rehabilitation. Characteristics associated with work return were analyzed. RESULTS: No social security records were found for 28 subjects. The remaining 483 subjects had a mean age of 45±13 years; 62% were male; 401 (83%) received some public social security benefit; 298 were paying dues and could, therefore, receive temporary or permanent disability benefits. Of these, 78 subjects made social security payments after transplantation, resulting in a work return rate of 26% (95% confidence interval, 21-32). Younger age, living donor graft, and chronic glomerulonephritis were significantly associated with return to work. CONCLUSION: In Brazil, most renal transplant recipients are on social security benefits, but only a small proportion return to work after surgery. Clinical characteristics may help define work resumption trends.

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.

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.

Total sialic acid and associated elements of the metabolic syndrome in women with and without previous gestational diabetes.

OBJECTIVE: Inflammatory markers predict type 2 diabetes and relate to the metabolic syndrome. Gestational diabetes mellitus (GDM) predicts type 2 diabetes and may be part of this syndrome. To examine the association of inflammatory markers with GDM, we investigated total sialic acid (TSA) in women with and without previous GDM. RESEARCH DESIGN AND METHODS: All women with GDM and a random sample of women from one center of the Brazilian Study of Gestational Diabetes were invited to return 7 years after their index pregnancy. After an interview, an oral glucose tolerance test and anthropometry were performed. A total of 46 women with and 50 women without previous GDM completed the protocol. RESULTS: Mean TSA was significantly higher in women with (71.8 +/- 11.1 mg/dl) than without (67.5 +/- 9.8 mg/dl) previous GDM (P < 0.05). In a linear regression model, TSA was 4 mg/dl (P < 0.05) higher in women with previous GDM, after adjustment for BMI, fasting insulin sensitivity, and number of years spent in school. In a similar model, current 2-h plasma glucose levels were associated with higher TSA levels after adjustment for waist-to-hip ratio and the log of triglycerides. TSA was strongly correlated with individual components and aggregates (r = 0.55, P < 0.001) of the metabolic syndrome. CONCLUSIONS: Increased TSA levels are associated with previous GDM and are strongly linked to the metabolic syndrome. These findings in young women suggest that a chronic mild systemic inflammatory response is an early feature of the metabolic syndrome and that GDM may be a window for its investigation.

Diabetes melito: diagnóstico, classificaçäo e avaliaçäo do controle glicêmico / Diabetes mellitus: diagnosis, classification and glucose control evaluation

Diabetes e alteraçöes da tolerância à glicose säo freqüentes na populaçäo adulta e estäo associados a um aumento da mortalidade por doença cardiovascular e complicaçöes microvasculares. O diagnóstico destas situaçöes deve ser feito precocemente, utilizando métodos sensíveis e acurados, já que mudanças no estilo de vida e a correçäo da hiperglicemia podem retardar o aparecimento do diabetes ou de suas complicaçöes. O teste oral de tolerância à glicose é o método de referência, considerando-se a presença de diabetes ou tolerância à glicose diminuída quando a glicose plasmática de 2h após a ingestäo de 75g de glicose for >/= 200mg/dl ou >/= 140 e <200mg/dl, respectivamente. Quando este teste näo puder ser realizado, utiliza-se a medida da glicose piasmática em jejum, considerando-se como diabetes ou glicose alterada em jejum quando os valores forem >/= 126mg/dl ou >/= 110 e <126mg/dl, respectivamente. A medida,da glico-hemoglobina näo deve ser utilizada para o diagnóstico, mas é o método de referência para avaliar o grau de controle glicémico a longo prazo. A classificaçäo etiológica proposta atualmente para o diabetes melito inclui 4 categorias: diabetes melito tipo 1, diabetes melito tipo 2, outros tipos específicos de diabetes e diabetes gestacional. A classificaçäo do paciente é usualmente feita em bases clínicas, mas a medida de auto-anticorpos e do peptídeo C pode ser útil em alguns casos.