Association between dietary patterns and infant birth weight in brazilian pregnancy women with gestational diabetes: a cross-sectional study.

Objective: To evaluate the association between the dietary patterns (DPs) of pregnant women with GDM (gestational diabetes mellitus) and the birth weight (BW) of the infants. Methods: Cross-sectional study with 187 adult pregnant women with GDM attended at a maternity in Rio de Janeiro from 2011 to 2014. Dietary intake was assessed in the third trimester using a semiquantitative food frequency questionnaire (FFQ). The outcomes were BW and weight adequacy for gestational age (GA). Reduced Rank Regression (RRR) was used to explain the following response variables: density of carbohydrates, fibres, and saturated fatty acids. Statistical analyzes included multinomial logistic regression models. Results: The mean BW was 3261.9 (± 424.5) g. Three DPs were identified, with DP 3 (high consumption of refined carbohydrates, fast foods/snacks, whole milk, sugars/sweets, and soft drinks and low consumption of beans, vegetables, and low-fat milk and derivatives) being the main pattern, explaining 48.37% of the response variables. In the multinomial logistic regression analysis no statistically significant association was found between the tertiles of DPs and BW or the adequacy of weight for GA, even after adjustments of confounding covariates. Conclusion: No significant associations were found between maternal DPs in the third trimester of pregnancy and infant BW or adequacy of weight for GA.

Gestational diabetes mellitus prevalence in Brazil: a systematic review and meta-analysis.

This study estimates gestational diabetes mellitus prevalence in Brazil. A systematic review was conducted with articles published between 2010 and 2021 on the PubMed, Scopus, Google Scholar, SciELO, LILACS and Virtual Health Library databases, as well as gray literature. Data were extracted using a standardized instrument together with the risk of bias assessment tool proposed by Hoy et al. A meta-analysis with robust variance and random effects was developed. Heterogeneity was verified using I2 and publication bias was assessed using funnel plot and Egger's test. Prevalence according to risk of bias, diagnostic criteria and country's regions was determined by subgroup analyses. A total of 32 studies were included, representing 21,942 women. gestational diabetes mellitus pooled prevalence was 14% (95%CI: 11.0; 16.0), considerably higher than estimates from previous studies. Regarding risk of bias, studies with low, medium, and high risk showed a pooled prevalence of 12%, 14% and 14%, respectively. Overall GRADE certainty of evidence rating was low. Most studies used the International Association of Diabetes in Pregnancy Study Group (IADPSG) criteria or the adapted IADPSG, showing a pooled prevalence of 15% and 14%, respectively. As for region, the pooled prevalence was higher in the Southeast (14%) and lower in the Central-West (9%). This is the first systematic review to provide evidence on gestational diabetes mellitus prevalence at a national level and to demonstrate considerable heterogeneity among articles and the influence of region, diagnostic criteria and study quality on the referred indicator.

Association between perinatal and obstetric factors and early age at diagnosis of type 1 diabetes mellitus: a cohort study.

OBJECTIVES: To evaluate the association between perinatal and obstetric factors as potential triggers for the early onset of T1DM. METHODS: This was a retrospective cohort study enrolling 409 patients diagnosed with T1DM, in Bauru, São Paulo, Brazil, from 1981 to 2023. Data were retrieved from medical records, regarding sociodemographic parameters as age, sex, ethnicity, and socioeconomic status. Perinatal and obstetric factors as delivery type, gestational age, filiation order, length of exclusive breastfeeding, maternal age, maternal and fetal blood types, and occurrence of maternal gestational diabetes were also analyzed. An adapted survival analysis was employed to gauge the impact of each assessed variable at the age of T1DM diagnosis. RESULTS: The median age of T1DM diagnosis was 10.3 years with an interquartile range between 6.4 and 15.5 years. Delivery type and filiation order were the only factors statistically significantly associated with an early age at T1DM diagnosis. Patients who were born through cesarean section and who were firstborns showed a 28.6 and 18.0 % lower age at T1DM diagnosis, respectively, compared to those born through vaginal delivery and those that were nonfirstborns. CONCLUSIONS: Being born by cesarean section and being firstborn showed to be statistically significant factors to determine an early T1DM diagnosis.

Association of congenital heart defects (CHD) with factors related to maternal health and pregnancy in newborns in Puerto Rico.

Background: Given the pervasive issues of obesity and diabetes both in Puerto Rico and the broader United States, there is a compelling need to investigate the intricate interplay among BMI, pregestational, and gestational maternal diabetes, and their potential impact on the occurrence of congenital heart defects (CHD) during neonatal development. Methods: Using the comprehensive System of Vigilance and Surveillance of Congenital Defects in Puerto Rico, we conducted a focused analysis on neonates diagnosed with CHD between 2016 and 2020. Our assessment encompassed a range of variables, including maternal age, gestational age, BMI, pregestational diabetes, gestational diabetes, hypertension, history of abortion, and presence of preeclampsia. Results: A cohort of 673 patients was included in our study. The average maternal age was 26 years, within a range of 22 to 32 years. The mean gestational age measured 39 weeks, with a median span of 38 to 39 weeks. Of the 673 patients, 274 (41%) mothers gave birth to neonates diagnosed with CHD. Within this group, 22 cases were linked to pre-gestational diabetes, while 202 were not; 20 instances were associated with gestational diabetes, compared to 200 without; and 148 cases exhibited an overweight or obese BMI, whereas 126 displayed a normal BMI. Conclusion: We identified a statistically significant correlation between pre-gestational diabetes mellitus and the occurrence of CHD. However, our analysis did not show a statistically significant association between maternal BMI and the likelihood of CHD. These results may aid in developing effective strategies to prevent and manage CHD in neonates.

Impact of pregestational obesity on perinatal complications: update in a Latin American cohort.

OBJECTIVES: While the association between pregestational obesity and perinatal complications has been established, it is necessary to update the current understanding of its impact on maternal and foetal health due to its growing prevalence. Thus, this study aimed to investigate the association between pregestational obesity with the leading perinatal complications during the last 6 years. STUDY DESIGN: A cross-sectional study was performed in San Felipe, Chile. Anonymised data of 11,197 deliveries that occurred between 2015 and 2021 were included. METHODS: Pregestational body mass index was defined according to the World Health Organisation during the first trimester of pregnancy. The association between pregestational obesity and perinatal complications was analysed by calculating the odds ratio (OR), which was adjusted for confounding variables. Statistical differences were considered with a P-value of <0.05. RESULTS: The prevalence of pregestational obesity was 30.1%. Pregestational obesity was related to a high incidence of perinatal complications (≥3 complications; P < 0.0001). The main perinatal complications were caesarean section, large for gestational age (LGA), gestational diabetes (GD), macrosomia, hypertensive disorders of pregnancy (HDP), premature rupture of membranes (PROM), intrauterine growth restriction, and failed induction. Pregestational obesity was shown to be a risk factor for macrosomia (OR: 2.3 [95% confidence interval {95% CI}: 2.0-2.8]), GD (OR: 1.9 [95% CI: 1.6-2.1]), HDP (OR: 1.8 [95% CI: 1.5-2.1]), LGA (OR: 1.6 [95% CI: 1.5-1.8]), failed induction (OR: 1.4 [95% CI: 1.0-1.8]), PROM (OR: 1.3 [95% CI: 1.1-1.6]), and caesarean section (OR: 1.3 [95% CI: 1.2-1.4]). CONCLUSIONS: Pregestational obesity has been shown to be a critical risk factor for the main perinatal complications in the study population. Pregestational advice is imperative not only in preventing pregestational obesity but also in the mitigation of critical perinatal complications once they arise.

Incidencia de diabetes gestacional en Chile durante el periodo 2001-2022 / Incidence of gestational diabetes in Chile during the period 2001-2022

Introducción: La diabetes mellitus gestacional (DG) se define como una hiperglucemia que se diagnostica por primera vez durante la gestación. Objetivo: Describir la incidencia de diabetes gestacional (DG) durante el periodo 2001-2022 en Chile. Método: Estudio observacional, descriptivo, ecológico y longitudinal. Se incluyeron los egresos hospitalarios consignados como diabetes durante el embarazo y DG en el periodo 2001-2022, de la base de datos del Departamento de Estadística e Información en Salud. Se determinó la incidencia de DG por la cantidad de partos institucionalizados, para cada año. Se analizaron la tendencia en el periodo y las diferencias entre regiones. Resultados: Se determinó un aumento de 2,615 casos de DG por 1000 partos atendidos por año en el periodo 2001-2022. En particular, en el periodo 2016-2022 la incidencia aumentó hasta 6,746 casos de DG por 1000 partos por año. En el año 2022, la región de La Araucanía presentó una incidencia de 284,4 casos por 1000 partos, lo que representa un aumento del 503% en relación con la incidencia media nacional (56,5 casos por 1000 partos). Conclusiones: Se demuestra un aumento significativo de la DG, en especial desde 2016. La situación en La Araucanía podría relacionarse con los niveles de pobreza multidimensional.

Introduction: Gestational diabetes mellitus (GDM) is defined as hyperglycemia first diagnosed during pregnancy. Objetive: To describe the incidence of gestational diabetes (GD) during the period 2001-2022 in Chile. Method: Observational, descriptive, ecological, longitudinal study. Hospital records of diabetes during pregnancy and GD in the period 2001-2022 were included, from the database of the Department of Statistics and Health Information. The incidence of GD was determined by the number of births, for each year. Trends in the period and differences between regions were analysed. Results: The results show an increase of 2.615 GD cases per 1000 births per year in the period 2001-2022. Particularly, in the period 2016-2022 the incidence increased to 6.746 cases of GD per 1000 births per year. In 2022, La Araucanía region presented an incidence of 284.4 cases per 1000 births, which represents an increase of 503% in relation to the mean national incidence (56.5 cases per 1000 births). Conclusions: A significant increase in DG is demonstrated, especially since 2016. The situation in La Araucanía could be related to the levels of multidimensional poverty.

Effect of Prenatal Care on Perinatal Outcomes of Pregnant Women with Diabetes Mellitus: A Systematic Review.

Objective: to evaluate the effect of prenatal care (PC) on perinatal outcomes of pregnant women with diabetes mellitus (DM). Methods: systematic review developed according to Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) 2020 guidelines and conducted through the population, intervention, control, and outcomes (PICO) strategy. Clinical trials and observational studies were selected, with adult pregnant women, single-fetus pregnancy, diagnosis of DM, or gestational DM and who had received PC and/or nutritional therapy (NT). The search was carried out in PubMed, Scopus, and BIREME databases. The quality of the studies was evaluated using the tools of the National Heart, Lung and Blood Institute-National Institutes of Health (NHLBI-NIH). Results: We identified 5972 records, of which 15 (n=47 420 pregnant women) met the eligibility criteria. The most recurrent outcomes were glycemic control (14 studies; n=9096 participants), hypertensive disorders of pregnancy (2; n=39 282), prematurity (6; n=40 163), large for gestational age newborns (4; n=1556), fetal macrosomia (birth weight >4kg) (6; n=2980) and intensive care unit admission (4; n=2022). Conclusions: The findings suggest that PC interferes with the perinatal outcome, being able to reduce the risks of complications associated with this comorbidity through early intervention, especially when the NT is an integral part of this assistance.

Risk of orofacial clefts in relation to maternal body mass index, diabetes and hypertension.

BACKGROUND: To investigate if maternal body mass index, diabetes and hypertension are associated with orofacial clefts. METHODS: Case-control study. Information from 53,188 live births with and without orofacial cleft registered at USA Vital Statistics Natality Birth Data between 2017 and 2021. Case group consisted of all affected live births diagnosed with orofacial clefts (13,297 cases). Comparison group consisted of 39,891 live births without clefts or any other congenital malformation. Information about orofacial cleft cases were compared with the comparison group. The unadjusted and adjusted Odds Ratios were estimated to evaluate the strength of association between mother's pre-pregnancy body mass index, maternal diabetes and hypertension and orofacial cleft occurrence, assuming a p value < 0.05 and 95% confidence intervals (95% C.I.) for statistically significant differences. RESULTS: Mother's pre-pregnancy body mass index, maternal diabetes and maternal hypertension are conditions associated with an increased risk of orofacial cleft development in the child (OR = 1.08, p = 0.004, 95% C.I. = 1.024-1.149; OR = 1.32, 95%, p = 0.000, 95% C.I. = 1.202-1.444; and OR = 1.35, p = 0.000, 95% C.I. = 1.239-1.484; respectively). Maternal ethnicity, sex of infant, and cigarette smoking pregnancy remained as covariates after adjustments in all logistic regression models. CONCLUSION: Due to the increased prevalence of obesity, diabetes, and hypertension, and also to their association with congenital malformations, such as clefts, it is recommended that mothers planning to become pregnant to follow healthy habits, maintain healthy weight, and be screened for possible diabetes or hypertension prior to conception and early in pregnancy.

Diabetes among women with preterm births: outcomes of a Brazilian multicenter study.

OBJECTIVE: The objective was to compare the maternal and perinatal characteristics and outcomes between women with and without diabetes in a Brazilian cohort of women with preterm births. METHODS: This was an ancillary analysis of the Brazilian Multicenter Study on Preterm Birth, which included 4,150 preterm births. This analysis divided preterm births into two groups according to the presence of diabetes; pregestational and gestational diabetes were clustered in the same Diabetes Group. Differences between both groups were assessed using χ 2 or Student's t tests. RESULTS: Preterm births of 133 and 4,017 women with and without diabetes, respectively, were included. The prevalence of diabetes was 3.2%. Pregnant women aged ≥35 years were more common in the Diabetes Group (31.6% versus 14.0% non-diabetic women, respectively). The rate of cesarean section among patients with diabetes was 68.2% versus 52.3% in non-diabetic cases), with a gestational age at birth between 34 and 36 weeks in 78.9% of the cases and 62.1% of the controls. Large-for-gestational-age babies were 7 times more common in the Diabetes Group. CONCLUSION: Preterm birth among Brazilian women with diabetes was more than twice as prevalent; these women were older and had regular late preterm deliveries, usually by cesarean section. They also had a greater frequency of fetal morbidities, such as malformations and polyhydramnios, and a higher proportion of large-for-gestational-age and macrosomic neonates.

A portrait of gestational diabetes mellitus in Brazil: A systematic review and meta-analysis.

The diagnostic criteria for gestational diabetes mellitus (GDM), a transient hyperglycemic state during pregnancy, has varied remarkably over time, resulting in a diversity of prevalence rates. The aim of this systematic literature review was to provide estimates of prevalence rates of GDM in Brazil according to different diagnostic criteria. We identified, reviewed, and extracted data from the scientific literature on studies estimating the prevalence of diabetes in pregnant women living in Brazil. The databases searched were PubMed, LILACS, SciELO, Embase, Web of Science, and Cochrane Library. We grouped studies by the source of information assessing GDM, patients' age, and criteria used to diagnose GDM. When three or more studies were available in a group, we calculated the pooled prevalence. The Joanna Briggs Institute (JBI) appraisal tool was used to assess the risk of bias. The data were reported according to the 2020 PRISMA recommendations. The study protocol was registered in PROSPERO. We identified 1,328 records and selected 21 studies involving 122,635 pregnant women. Studies in adults only, with primary data and laboratory measurements, and using the IADPSG criteria (n = 3) had a GDM prevalence of 18.0% (95% confidence interval [CI]: 16.0-20.1%) and included 6,243 participants. Estimates of self-reported GDM (n = 3; 10,136 participants of all ages) had a pooled GDM prevalence of 2.1% (95% CI: 1.5-5.2%), with high heterogeneity (I2 = 85.0%, p < 0.01). Studies including adolescents had consistently low prevalences. The prevalence of GDM in Brazil varied, was greater when the IADPSG criteria were applied, and depended on the methods used to obtain the GDM information and the age structure of the sample.

Racial and Ethnic Inequities in Development of Type 2 Diabetes After Gestational Diabetes Mellitus.

OBJECTIVE: To estimate racial and ethnic disparities in type 2 diabetes mellitus after gestational diabetes mellitus (GDM) and to investigate baseline pregnancy clinical and social or structural characteristics as mediators. METHODS: We conducted a retrospective cohort of individuals with GDM using linked 2009-2011 New York City birth and hospital data and 2009-2017 New York City A1c Registry data. We ascertained GDM and pregnancy characteristics from birth and hospital records. We classified type 2 diabetes as two hemoglobin A 1c test results of 6.5% or higher. We grouped pregnancy characteristics into clinical (body mass index [BMI], chronic hypertension, gestational hypertension, preeclampsia, preterm delivery, caesarean, breastfeeding, macrosomia, shoulder dystocia) and social or structural (education, Medicaid insurance, prenatal care, and WIC [Special Supplemental Nutrition Program for Women, Infants, and Children] participation). We used Cox proportional hazards models to estimate associations between race and ethnicity and 8-year type 2 diabetes incidence, and we tested mediation of pregnancy characteristics, additionally adjusting for age and nativity (U.S.-born vs foreign-born). RESULTS: The analytic data set included 22,338 patients with GDM. The 8-year type 2 diabetes incidence was 11.7% overall and 18.5% in Black, 16.8% in South and Southeast Asian, 14.6% in Hispanic, 5.5% in East and Central Asian, and 5.4% in White individuals with adjusted hazard ratios of 4.0 (95% CI 2.4-3.9), 2.9 (95% CI 2.4-3.3), 3.3 (95% CI 2.7-4.2), and 1.0 (95% CI 0.9-1.4) for each group compared with White individuals. Clinical and social or structural pregnancy characteristics explained 9.3% and 23.8% of Black, 31.2% and 24.7% of Hispanic, and 7.6% and 16.3% of South and Southeast Asian compared with White disparities. Associations between education, Medicaid insurance, WIC participation, and BMI and type 2 diabetes incidence were more pronounced among White than Black, Hispanic, and South and Southeast Asian individuals. CONCLUSION: Population-based racial and ethnic inequities are substantial in type 2 diabetes after GDM. Characteristics at the time of delivery partially explain disparities, creating an opportunity to intervene on life-course cardiometabolic inequities, whereas weak associations of common social or structural measures and BMI in Black, Hispanic and South and Southeast Asian individuals demonstrate the need for greater understanding of how structural racism influences postpartum cardiometabolic risk in these groups.

Risk factors for postpartum urinary incontinence: The impact of early-onset and late-onset Gestational Diabetes Mellitus in a nested case-control study.

BACKGROUND: Gestational Diabetes Mellitus (GDM) and many other clinical variables have been associated with postpartum urinary incontinence (UI). However, the data are still restricted, and no study explored early- or late-onset GDM as a risk factor for this condition. We aimed to identify independent risk factors for postpartum UI, focusing on GDM and its early or late onset. METHODS: A nested case control derived from the Diamater cohort study included 517 pregnant women who submitted to a planned C-section and followed by 6-18 months after delivery according to the timing of GDM diagnosis: early-onset GDM (before 20 weeks) and late-onset GDM(24-28 weeks) and the occurrence of UI. RESULTS: Univariate analysis showed that the risk for 6-18 months postpartum UI was 49% higher in non-Caucasian ethnicity (1.49,1.02-2.18), 3,3 times higher in previous bariatric surgery [3.37,1.36-8.21], 39% higher in GDM women (1.39,1.01-1.93), and 5% higher for each BMI score in prepregnancy (1.05, 1.03-1.08) and at the end of pregnancy (1.05,1.02-1.08). Multivariate logistic regression analysis indicates that prepregnancy BMI was the only independent factor associated with the 6-18 months postpartum UI (adj 1.05, 95 %CI 1.02-1.08, P <.001). After stratifying, a second univariate and multivariate analysis were done according to the prepregnancy BMI cutoff score of 25. Thus, a significant association between GDM and postpartum UI in prepregnancy overweight women (RR: 1.91; 95 %CI 1.25-2.90, P =.003) and no association between GDM and 6-18 months postpartum UI in normal prepregnancy BMI (RR: 0.78, 95 %CI 0.39-1.54, P =.482) were found. After multivariate regression, the early-onset-GDM remained the unique independent adjusted risk factor for 6-18 months postpartum UI analysis (adjRR 2.15, 95 %CI 1.33-3.46, P =.002). CONCLUSION: After a planned C-section, we observed a 6-18 months postpartum UI higher occurrence after GDM, either in early-onset GDM or late-onset GDM. In addition, being overweight (BMI > 25) among women with early-onset GDM was associated with postpartum UI.

Características de la descendencia de gestantes diabéticas atendidas en el Hospital "Comandante Ciro Redondo García", Artemisa / Characteristics of the Offspring of Pregnant Women Who Received Attention in the Hospital Comandante Ciro Redondo García, of Artemisa

Introducción: Múltiples investigaciones demuestran el efecto teratogénico de la diabetes mellitus durante el embarazo, considerada causa frecuente de morbilidad fetal. Objetivo: Describir las características del producto de la concepción de mujeres con diabetes pregestacional o gestacional, atendidas en el Hospital Provincial Comandante Ciro Redondo García, de Artemisa. Métodos: Se realizó un estudio observacional, descriptivo, transversal, en la Provincia Artemisa, Cuba, en el período de febrero 2016 a febrero 2018, en 316 mujeres con diabetes mellitus durante su gestación. La información se obtuvo mediante revisión documental y entrevista, conservando los datos en hoja de cálculo Excel. Resultados: El 69,9 por ciento de las pacientes diabéticas estudiadas presentaron morbilidades en su descendencia, entre las que predominaron los defectos congénitos en 139 casos; 34 neonatos macrosómicos; 21 pretérminos; 9 con retardo del crecimiento intrauterino y 5 fallecidos antes del año de vida. La diabetes, tanto pregestacional como gestacional, se relacionó con afecciones en la descendencia; sin embargo, un control preconcepcional adecuado de la enfermedad redujo el riesgo de tener hijos afectados. Los defectos congénitos fueron la alteración más frecuente cuando la madre padecía diabetes pregestacional. Si la diabetes materna era gestacional los hijos presentaron con frecuencia macrosomía y otras anomalías asociadas. Conclusiones: Alrededor de 70 de cada 100 mujeres diabéticas presentan morbilidades en su descendencia. Si la diabetes materna no es controlada antes de la concepción, estas morbilidades en sus hijos son predominantemente defectos congénitos con posible origen disruptivo, mientras que la diabetes gestacional se relaciona más con recién nacidos macrosómicos(AU)

Introduction: Multiple investigations show the teratogenic effect of diabetes mellitus during pregnancy, being considered a frequent cause of fetal morbidity. Objective: To describe the characteristics of the offspring of women with pregestacional or gestational diabetes who received attention at the Hospital Provincial Comandante Ciro Redondo García of Artemisa. Methods: An observational, descriptive, cross-sectional and descriptive study was conducted in Artemisa Province, Cuba, in the period from February 2016 to February 2018, with 316 pregnant women with diabetes mellitus. The information was obtained through documentary review and interview; the data were kept in an Excel spreadsheet. Results: 69.9 percent of the studied diabetic patients presented morbidities in their offspring, among which congenital defects predominated, accounting for 139 cases; 34 were macrosomic neonates; 21 were preterm; 9 presented intrauterine growth retardation; and 5 died within one year of life. Diabetes, both pregestational and gestational, was associated with conditions in the offspring; however, adequate preconception control of the disease reduced the risk for having affected children. Congenital defects were the most frequent alteration when the mother had pregestational diabetes. If maternal diabetes was gestational, the offspring frequently presented macrosomia and other associated anomalies. Conclusions: About 70 out of 100 diabetic women present morbidities in their offspring. If maternal diabetes is not controlled before conception, these morbidities in their offspring are predominantly congenital defects with a possible disruptive origin, while gestational diabetes is more related to macrosomic newborns(AU)

Risk factors associated with the need for insulin in patients with gestational diabetes in a reference hospital in Buenos Aires, Argentina: retrospective cohort study / Factores de riesgo asociados al requerimiento de insulina en pacientes con diabetes gestacional en un hospital de referencia en Buenos Aires, Argentina: estudio de cohorte retrospectiva

Objectives: To describe the clinical and sociodemographic characteristics of pregnant women diagnosed with gestational diabetes mellitus (GDM) and to assess factors potentially associated with out-of-target glycemic control and the need for insulin. Materials and methods: Retrospective descriptive cohort. Women with GDM delivered at a reference hospital between January 2018 and September 2020 were included; women delivered in a different institution were excluded. Measured variables were age, body mass index (BMI) at the start of pregnancy, family history of diabetes, gestational age at the time of diagnosis, blood glucose levels at baseline and following oral glucose tolerance test, fructosamine, Hba1c, and insulin therapy use. A descriptive exploratory analysis of factors associated with poor glycemic control was conducted using uni and multivariate analyses. Results: Of the patients with GDM, 44 % were out of target for blood glucose with lifestyle and dietary measures. The exploratory analyses revealed a potential increase in the risk of poor glycemic control associated with initial blood glucose level on OGTT (raw OR: 3.57; 95 % CI: 2.1 - 6.1), BMI > 25 kg/m2 (OR: 1.97, 95 % CI: 1.15 - 3.34), and more advanced gestational age at the time of diagnosis as a protective factor against the need for insulin therapy (OR: 0.45, 95 % CI: 0.27- 0.75). However, these associations were not confirmed in the multivariate analysis. Conclusions: A baseline blood glucose value greater than 95 mg/dl and BMI of more than 25 kg/m2 could be associated with poor glycemic control in women with GDM. Studies that assess these variables and control for confounding factors are needed in order to identify the factors associated with insulin requirement in pregnant women.

Objetivos: describir las características clínicas y sociodemográficas de las gestantes con diagnóstico de diabetes mellitus gestacional (DMG) y evaluar posibles factores asociados al control glucémico fuera de objetivo y requerimiento de insulina. Materiales y métodos: cohorte retrospectiva descriptiva. Se incluyeron mujeres con DMG atendidas en un hospital de referencia entre enero de 2018 y septiembre de 2020; se excluyeron mujeres con parto realizado en otra Institución. Las variables medidas fueron edad, índice de masa corporal al inicio del embarazo, antecedentes familiares de diabetes, edad gestacional al diagnóstico, glucemia basal y glucemia post prueba de tolerancia oral a la glucosa, fructosamina, Hba1c, y uso de insulinoterapia. Se realizó un análisis descriptivo y exploratorio de los factores asociados al mal control glucémico por medio del análisis uni y multivariado. Resultados: el 44 % de las pacientes con DMG presentaron control glucémico fuera de objetivo con medidas higiénico-dietéticas. El análisis exploratorio mostró que podría haber un incremento en el riesgo del mal control glucémico asociado al valor inicial de la glucemia durante la PTOG (OR crudo: 3,57, IC 95 %: 2,1 - 6,1), el IMC > 25 kg/m2 (OR: 1,97, IC 95 %: 1,15 - 3,34) y la mayor edad gestacional al momento del diagnóstico como factor protector del requerimiento de la insulinoterapia (OR: 0,45, IC 95 %: 0,27 - 0,75). Sin embargo, estas asociaciones no se confirmó en el análisis multivariado. Conclusiones: el valor de la glucemia basal mayor a 95 mg/dl, el IMC mayor a 25 kg/m2 podrían estar asociadas al mal control glucémico en las mujeres con DMG. Se necesitan estudios que evalúen estas variables con control de los factores de confusión para determinar los factores que indican el uso de insulina en mujeres gestantes.

Factores de riesgo psicosocial asociados con la diabetes mellitus gestacional: revisión sistemática / Psychosocial risk factors associated with gestational diabetes mellitus: systematic review

La diabetes mellitus gestacional DMG es una enfermedad con consecuencias mortales, incapacitantes y costosas para las personas, las familias, las comunidades y los países. Con el fin de establecer de manera sistemática los factores de riesgo psicosocial asociados con la DMG que deberían ser monitoreados durante y después del embarazo se realizó una revisión sistemática en las bases de datos PubMed/Medline y Cochrane. Se encontraron 1188 artículos y se seleccionaron 41. Algunos temas principales fueron conflictos con prácticas culturales, estigma social, influencia de la etnia/raza, bajo nivel educativo, calidad del sueño, problemas con la lactancia materna, preocupación por la propia salud o la del bebé, baja percepción de riesgo de DMG o de diabetes mellitus tipo 2 en el futuro, estrés, ansiedad y depresión, conocimiento limitado, falta de apoyo de la pareja, de la familia o social y de los profesionales de la salud, bajos niveles de autocuidado/autoeficacia y dificultades con cambios en el estilo de vida. Estos factores deberían monitorearse en las embarazadas durante y después del parto. Los tratamientos deberían considerar el impacto psicológico y el riesgo de desarrollar diabetes mellitus tipo 2 después del parto, y deberían ser incluidos en las guías de práctica clínica. Las poblaciones multiétnicas y los grupos más vulnerables demográficamente y socioeconómicamente son más susceptibles de desarrollar DMG.

Gestational diabetes mellitus (GDM) is a disease with fatal, disabling, and costly consequences for individuals, families, communities and countries. To systematically establish the psychosocial risk factors associated with GDM that should be monitored during and after pregnancy. Systematic review in PubMed/Medline and Cochrane databases. 1188 articles were found and 41 were selected. Some main themes were conflicts with cultural practices, social stigma, ethnicity/race influence, low educational level, sleep quality, breastfeeding problems, concern for ones own health/baby, low perception of the risk of GDM/DM2 in the future, stress, anxiety and depression, limited knowledge, lack of support from the partner/family/social and health professionals, low levels of self-care/self-efficacy and difficulties with changes in the lifestyle. These factors should be monitored in pregnant women during and after delivery. Treatments should consider the psychological impact and the risk of developing DM2 after childbirth and should be included in clinical practice guidelines. Multi-ethnic populations and the most demographically and socioeconomically vulnerable groups are more susceptible to developing GDM.

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.

Development and validation of a multivariable genotype-informed gestational diabetes prediction algorithm for clinical use in the Mexican population: insights into susceptibility mechanisms.

INTRODUCTION: Gestational diabetes mellitus (GDM) is underdiagnosed in Mexico. Early GDM risk stratification through prediction modeling is expected to improve preventative care. We developed a GDM risk assessment model that integrates both genetic and clinical variables. RESEARCH DESIGN AND METHODS: Data from pregnant Mexican women enrolled in the 'Cuido mi Embarazo' (CME) cohort were used for development (107 cases, 469 controls) and data from the 'Mónica Pretelini Sáenz' Maternal Perinatal Hospital (HMPMPS) cohort were used for external validation (32 cases, 199 controls). A 2-hour oral glucose tolerance test (OGTT) with 75 g glucose performed at 24-28 gestational weeks was used to diagnose GDM. A total of 114 single-nucleotide polymorphisms (SNPs) with reported predictive power were selected for evaluation. Blood samples collected during the OGTT were used for SNP analysis. The CME cohort was randomly divided into training (70% of the cohort) and testing datasets (30% of the cohort). The training dataset was divided into 10 groups, 9 to build the predictive model and 1 for validation. The model was further validated using the testing dataset and the HMPMPS cohort. RESULTS: Nineteen attributes (14 SNPs and 5 clinical variables) were significantly associated with the outcome; 11 SNPs and 4 clinical variables were included in the GDM prediction regression model and applied to the training dataset. The algorithm was highly predictive, with an area under the curve (AUC) of 0.7507, 79% sensitivity, and 71% specificity and adequately powered to discriminate between cases and controls. On further validation, the training dataset and HMPMPS cohort had AUCs of 0.8256 and 0.8001, respectively. CONCLUSIONS: We developed a predictive model using both genetic and clinical factors to identify Mexican women at risk of developing GDM. These findings may contribute to a greater understanding of metabolic functions that underlie elevated GDM risk and support personalized patient recommendations.

Drug-related problems in hypertension and gestational diabetes mellitus: A hospital cohort.

OBJECTIVE: To characterize the drug-related problems (DRPs) in high-risk pregnant women with hypertension and gestational diabetes mellitus according to frequency, type, cause, and factors associated with their occurrence in the hospital setting. METHODOLOGY: This is an observational, longitudinal, prospective study that included 571 hospitalized pregnant women with hypertension and gestational diabetes mellitus using at least one medication. DRPs were classified according to the Classification for Drug-Related Problems (PCNE V9.00). In addition to descriptive statistics, a univariate and multivariate logistic regression model was employed to determine the factors associated with the DRPs. RESULTS: A total of 873 DRPs were identified. The most frequent DRPs were related to therapeutic ineffectiveness (72.2%) and occurrence of adverse events (27.0%) and the main drugs involved were insulins and methyldopa. These were followed in the first five days of treatment by: the ineffectiveness of insulin (24.6%), associated with underdosage (12.9%) or insufficient frequency of administration (9.5%) and methyldopa associated with the occurrence of adverse reactions (40.2%) in the first 48h. Lower maternal age (OR 0.966, 95% CI 0.938-0.995, p = 0.022), lower gestational age (OR 0.966, 95% CI 0.938-0.996, p = 0.026), report of drug hypersensitivity (OR 2.295, 95% CI 1.220-4.317, p = 0.010), longer treatment time (OR 1.237, 95% CI: 1.147-1.333, p = 0.001) and number of prescribed medications (OR 1.211, 95% CI: 0.240-5.476, p = 0.001) were risk factors for occurrence of DRPs. CONCLUSION: DRPs are frequent in pregnant women with hypertension and gestational diabetes mellitus, and they are mainly related to therapeutic ineffectiveness and the occurrence of adverse events.

Father's weight could contribute to large babies in overweight and obese mothers with and without gestational diabetes.

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.