Exposición a temperaturas extremas y su efecto en la gestación en un departamento de Colombia / Exposure to extreme temperatures and its effect on pregnancy in a department of Colombia

Introducción: Diversas investigaciones han establecido la relación entre temperatura y duración del embarazo, la exposición a temperaturas altas durante el embarazo plantea interrogantes en especial el papel que esta juega frente a los partos prematuros y partos de bajo peso, es indispensable determinar si las temperaturas altas o bajas tienen un comportamiento protector o de riesgo sobre el feto durante la gestación en regiones tropicales. Objetivo: describir la relación entre la exposición a temperaturas altas y bajas durante el embarazo y su efecto en la edad gestacional y peso al momento del parto en los recién nacidos del departamento del Guaviare-Colombia. Metodología: Estudio tipo observacional, analítico, retrospectivo de corte transversal que busco determinar la relación entre exposición a temperaturas altas y bajas durante el embarazo y su efecto en la edad gestacional y peso al momento del parto en los recién nacidos, el universo estuvo conformado por 10.137 nacidos vivos, de los cuales 9.932 cumplieron los criterios de inclusión. Se determinó Odds Ratio para estimar la asociación entre las variables. Resultados: Dentro de la semana de retraso 3 el estar expuesto a temperaturas máximas percentil 90 es un factor protector para la ganancia ponderal de peso OR < 1, la exposición a temperaturas mínimas percentil 10 se asoció como factor protector para el parto prematuro en la semana de retraso 1 y 2 OR < 1.Conclusión: A pesar del beneficio de las altas y bajas temperaturas durante el embarazo en la ganancia ponderal de peso y disminución del parto prematuro, es recomendable prevenir la exposición a temperaturas extremas durante el periodo de gestación[AU]

Introduction: Various investigations have established the relationship between temperature and duration of pregnancy. Exposure to high temperatures during pregnancy raises questions, especially the role it plays in premature births and low-weight births. It is essential to determine whether high temperatures or low have a protective or risky behavior on the fetus during pregnancy in tropical regions.Objective: to describe the relationship between exposure to high and low temperatures during pregnancy and its effect on gestational age and weight at the time of delivery in newborns in the department of Guaviare-Colombia.Methodology:Observational, analytical, retrospective cross-sectional study that sought to determine the relationship between exposure to high and low temperatures during pregnancy and its effect on gestational age and weight at the time of delivery in newborns. The universe was made up of 10,137 births. alive, of which 9,932 met the inclusion criteria. Odds Ratio was determined to estimate the association between the variables.Results:Within the 3rd week of delay, being exposed to maximum temperatures at the 90th percentile is a protective factor for weight gain OR < 1, exposure to minimum temperatures at the 10th percentile was associated as a protective factor for premature birth in the week. of delay 1 and 2 OR < 1. Conclusion: Despite the benefit of high and low temperatures during pregnancy in weight gain and reduction in premature birth, it is advisable to prevent exposure to extreme temperatures during the gestation period[AU]

Introdução: Várias investigações estabeleceram a relação entre temperatura e duração da gravidez. A exposição a altas temperaturas durante a gravidez levanta questões, especialmente o papel que desempenha nos partos prematuros e nos nascimentos de baixo peso. É essencial determinar se as temperaturas altas ou baixas têm um comportamento protetor ou de risco para o feto durante a gravidez em regiões tropicais. Objetivo:descrever a relação entre a exposição a altas e baixas temperaturas durante a gravidez e seu efeito na idade gestacional e no peso no momento do parto em recém-nascidos no departamento de Guaviare-Colômbia. Metodologia: Estudo observacional, analítico, retrospectivo e transversal que buscou determinar a relação entre a exposição a altas e baixas temperaturas durante a gravidez e seu efeito na idade gestacional e no peso no momento do parto em recém-nascidos. O universo foi composto por 10.137 nascimentos. vivos, dos quais 9.932 preencheram os critérios de inclusão. O Odds Ratio foi determinado para estimar a associação entre as variáveis. Resultados:Na 3ª semana de atraso, a exposição a temperaturas máximas no percentil 90 é fator de proteção para ganho de peso OR < 1, a exposição a temperaturas mínimas no percentil 10 foi associada como fator de proteção para parto prematuro na semana. de atraso 1 e 2 OR < 1.Conclusão:Apesar do benefício das altas e baixas temperaturas durante a gravidez no ganho de peso e redução do parto prematuro, é aconselhável evitar a exposição a temperaturas extremas durante o período de gestação[AU]

Impact of dietary inflammatory index on gestational diabetes mellitus in normal and overweight women: a systematic review and meta-analysis of observational studies.

BACKGROUND AND OBJECTIVES: To systematically investigate the association between the dietary inflammatory index (DII) and gestational diabetes mellitus (GDM), with a focus on the role of BMI in this relationship. METHODS AND STUDY DESIGN: A comprehensive search was conducted in PubMed, Embase, Web of Science, The Cochrane Library, Medline, CINAHL Complete, Chinese Periodical Full-text Database, China National Knowledge Infrastructure, Chinese Biomedical Literature Database, and China Wanfang Database for rele-vant observational studies published up to August 2023. The quality of the included studies was assessed using the Newcastle-Ottawa Scale. The pooled effect size was calculated using a random-effects model. Sub-group and meta-regression analyses were performed to explore potential sources of heterogeneity. RESULTS: The study included 54,058 participants from 10 studies. Pregnant women with a higher DII, indicating a pro-inflammatory diet, had a significantly increased risk of GDM compared to those with a lower DII, indicating an anti-inflammatory diet (pooled OR: 1.17, 95% CI: 1.01-1.36; I²=70%, p <0.001). Subgroup analyses revealed a stronger association in normal weight stratification (OR: 1.25, 95%CI: 1.04-1.51), case-control studies (OR: 1.45, 95%CI: 1.03-2.05), Asia (OR: 1.26, 95%CI: 1.10-1.43), Europe (OR: 1.27, 95%CI: 1.09-1.48), 3-day dietary record as a dietary assessment tool (OR: 1.30, 95%CI: 1.16-1.46), physical activity adjustment (OR: 1.28, 95%CI: 1.13-1.46), and energy intake adjustment (OR: 1.33, 95%CI: 1.19-1.48). Meta-regression analysis confirmed that geographical region significantly influenced heterogeneity between studies (p <0.05). CONCLUSIONS: An elevated DII is independently linked to a higher risk of GDM, especially in women of normal weight.

Morphometric Analysis of Placenta and Fetal Doppler Indices in Normal and High-Risk Pregnancies.

Background High-risk pregnancies, encompassing pregnancy-induced hypertension (PIH), gestational diabetes mellitus (GDM), preeclampsia toxemia (PET), and intrauterine growth restriction (IUGR), represent intricate medical challenges with potential repercussions for maternal and fetal health. This research undertakes a comprehensive comparative investigation into the variations of Doppler indices and placental parameters within the context of these high-risk conditions when juxtaposed against pregnancies characterized as normal. Methodology Employing a rigorous cross-sectional study design, a diverse cohort of pregnant individuals with gestational diabetes, IUGR, PIH, and preeclampsia was meticulously assembled. Additionally, a group of normal pregnant women served as the comparative reference. Doppler ultrasound assessments, viz, pulsatility index (PI), were carefully performed to estimate blood flow velocities within critical maternal and fetal vessels, while placental parameters were meticulously quantified, encompassing dimensions, vascular architecture, and morphological features. Results Except in the GDM group, all high-risk groups had reduced estimated placental weight and actual birth weight than normal pregnant women. All high-risk groups showed a highly significant elevation of the PI of the umbilical artery and PI of the middle cerebral artery (MCA) than normal but the PI of MCA was significantly reduced in the PET group than in normal individuals. The cerebro-placental ratio in the GDM and IUGR groups revealed markedly greater values, whereas PET showed lower values. IUGR and PIH groups showed a substantial reduction in the fetal birth weight. All high-risk groups (GDM, IUGR, PIH, and PET) showed a highly significant reduction in luminal area umbilical artery 1 than the normal pregnant women. In IUGR, marginal placental insertion was very high, followed by GDM and PET groups. Conclusions This study reveals that Doppler indices, placental parameters, newborn weight, and their related ratios may be utilized to anticipate gestation difficulties and gain insight into the pathophysiology of problematic conceptions.

The search for blood biomarkers that indicate risk of adverse neurodevelopmental outcomes in fetal growth restriction.

Fetal growth restriction (FGR) impacts 5%-10% of pregnancies and is associated with increased risk of mortality and morbidity. Although adverse neurodevelopmental outcomes are observed in up to 50% of FGR infants, a diagnosis of FGR does not indicate the level of risk for an individual infant and these infants are not routinely followed up to assess neurodevelopmental outcomes. Identifying FGR infants at increased risk of adverse neurodevelopmental outcomes would greatly assist in providing appropriate support and interventions earlier, resulting in improved outcomes. However, current methods to detect brain injury around the time of birth lack the sensitivity required to detect the more subtle alterations associated with FGR. Blood biomarkers have this potential. This systematic review assessed the current literature on blood biomarkers for identifying FGR infants at increased risk of adverse neurodevelopmental outcomes at >12 months after birth. Four databases were searched from inception to 22 February 2024. Articles were assessed for meeting the inclusion criteria by two reviewers. The quality of the included article was assessed using Quality Assessment of Diagnostic Accuracy Studies-2. A summary of findings is presented as insufficient articles were identified for meta-analysis. Excluding duplicates, 1,368 records were screened with only 9 articles considered for full text review. Only one article met all the inclusion criteria. Quality assessment indicated low risk of bias. Both blood biomarkers investigated in this study, neuron specific enolase and S100B, demonstrated inverse relationships with neurodevelopmental assessments at 2 years. Four studies did not meet all the inclusion criteria yet identified promising findings for metabolites and cytokines which are discussed here. These findings support the need for further research and highlight the potential for blood biomarkers to predict adverse outcomes. Systematic Review Registration: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=369242, Identifier CRD42022369242.

Analysis of risk factors and construction of a predictive model for macrosomia in deliveries with gestational diabetes.

BACKGROUND: Gestational diabetes, a frequent pregnancy complication marked by elevated maternal blood glucose, can cause serious adverse effects for both mother and fetus, including increased amniotic fluid and risks of fetal asphyxia, hypoxia, and premature birth. OBJECTIVE: To construct a predictive model to analyze the risk factors for macrosomia in deliveries with gestational diabetes. METHODS: From January 2021 to February 2023, 362 pregnant women with gestational diabetes were selected for the study. They were followed up until delivery. Based on newborn birth weight, the participants were divided into the macrosomia group (birth weight ⩾ 4000 g) and the non-macrosomia group (birth weight < 4000 g). The data of the two groups of pregnant women were compared. ROC curves were plotted to analyze the predictive value of multiple factors for the delivery of macrosomic infants among pregnant women with gestational diabetes. A logistic regression model was constructed to identify the risk factors for delivering macrosomic infants and the model was tested. RESULTS: A total of 362 pregnant women with gestational diabetes were included, of which 58 (16.02%) had babies with macrosomia. The macrosomia group exhibited higher metrics in several areas compared to those without: pre-pregnancy BMI, fasting glucose, 1 h and 2 h OGTT sugar levels, weight gain during pregnancy, and levels of triglycerides, LDL-C, and HDL-C, all with significant differences (P< 0.05). ROC analysis revealed predictive value for macrosomia with AUCs of 0.761 (pre-pregnancy BMI), 0.710 (fasting glucose), 0.671 (1 h OGTT), 0.634 (2 h OGTT), 0.850 (weight gain), 0.837 (triglycerides), 0.742 (LDL-C), and 0.776 (HDL-C), indicating statistical significance (P< 0.05). Logistic regression identified high pre-pregnancy BMI, fasting glucose, weight gain, triglycerides, and LDL-C levels as independent risk factors for macrosomia, with odds ratios of 2.448, 2.730, 1.884, 16.919, and 5.667, respectively, and all were statistically significant (P< 0.05). The model's AUC of 0.980 (P< 0.05) attests to its reliability and stability. CONCLUSION: The delivery of macrosomic infants in gestational diabetes may be related to factors such as body mass index before pregnancy, blood-glucose levels, gain weight during pregnancy, and lipid levels. Clinical interventions targeting these factors should be implemented to reduce the incidence of macrosomia.

Placental pathology lesions: International Society for Ultrasound In Obstetrics And Gynecology vs. Society for Maternal-Fetal Medicine Fetal growth restriction definitions.

BACKGROUND: Research on the definition of fetal growth restriction has focused on predicting adverse perinatal outcomes. A significant limitation of this approach is that the individual outcomes of interest could be related to the condition and the treatment. Evaluation of outcomes that reflect the pathophysiology of fetal growth restriction may overcome this limitation. OBJECTIVE: To compare the diagnostic performance of the fetal growth restriction definitions established by the International Society for Ultrasound in Obstetrics and Gynecology and the Society for Maternal-Fetal Medicine to predict placental histopathological findings associated with placental insufficiency and a composite adverse neonatal outcome. STUDY DESIGN: In this retrospective cohort study of singleton pregnancies, the International Society for Ultrasound in Obstetrics and Gynecology and the Society for Maternal-Fetal Medicine guidelines were used to identify pregnancies with fetal growth restriction and a corresponding control group. The primary outcome was the prediction of placental histopathological findings associated with placental insufficiency, defined as lesions associated with maternal vascular malperfusion. A composite adverse neonatal outcome (i.e., umbilical artery pH≤7.1, Apgar score at 5 minutes ≤4, neonatal intensive care unit admission, hypoglycemia, respiratory distress syndrome requiring mechanical ventilation, intrapartum fetal distress requiring expedited delivery, and perinatal death) was investigated as a secondary outcome. Sensitivity, specificity, positive and negative predictive values, and the areas under the receiver-operating-characteristics curves were determined for each fetal growth restriction definition. Logistic regression models were used to assess the association between each definition and the studied outcomes. A subgroup analysis of the diagnostic performance of both definitions stratifying the population in early and late fetal growth restriction was also performed. RESULTS: Both societies' definitions showed a similar diagnostic performance as well as a significant association with the primary (International Society for Ultrasound in Obstetrics and Gynecology adjusted odds ratio 3.01 [95% confidence interval 2.42, 3.75]; Society for Maternal-Fetal Medicine adjusted odds ratio 2.85 [95% confidence interval 2.31, 3.51]) and secondary outcomes (International Society for Ultrasound in Obstetrics and Gynecology adjusted odds ratio 1.95 [95% confidence interval 1.56, 2.43]; Society for Maternal-Fetal Medicine adjusted odds ratio 2.12 [95% confidence interval 1.70, 2.65]). Furthermore, both fetal growth restriction definitions had a limited discriminatory capacity for placental histopathological findings of maternal vascular malperfusion and the composite adverse neonatal outcome (area under the receiver-operating-characteristics curve International Society for Ultrasound in Obstetrics and Gynecology 0.63 [95% confidence interval 0.61, 0.65], 0.59 [95% confidence interval 0.56, 0.61]; area under the receiver-operating-characteristics Society for Maternal-Fetal Medicine 0.63 [95% confidence interval 0.61, 0.66], 0.60 [95% confidence interval 0.57, 0.62]). CONCLUSIONS: The International Society for Ultrasound in Obstetrics and Gynecology and the Society for Maternal-Fetal Medicine fetal growth restriction definitions have limited discriminatory capacity for placental histopathological findings associated with placental insufficiency and a composite adverse neonatal outcome.

Practical weight management to minimize pregnancy complications and promote women's health: the possibility of interpregnancy care.

Pregnancy is an excellent opportunity to provide medical interventions to women. It is also a stress test used to predict health. Numerous studies have demonstrated that the pre-pregnancy body mass index (BMI) and gestational weight gain (GWG) are critical factors for pregnancy complications such as hypertensive disorders of pregnancy (HDP), gestational diabetes mellitus (GDM), large or small gestational age infants, and spontaneous preterm birth (sPTB). These complications are associated with an increased risk of cardiovascular disease (CVD), which is a leading cause of mortality in women. In addition, complications adversely affect the short- and long-term prognoses of children. Optimal GWG to reduce complications is recommended based on pre-pregnancy BMI; however, racial differences should also be noted. The values in the Japanese guidelines are lower than those in the American Institute of Medicine guidelines. The Asian BMI thresholds for CVD risk are also lower than those in Europe. Therefore, weight management should be based on racial/genetic background. Interpregnancy weight gain or loss has also been reported to be associated with the risk of pregnancy complications; however, few studies have been conducted in Asian populations. Our previous reports suggested that avoiding an excess of 0.6 kg/m2/year of annual BMI gain may reduce the risk of HDP or GDM, and insufficient gain of < 0.25 kg/m2/year may increase sPTB recurrence. Annual BMI is useful for practical weight control during interpregnancy. Based on these findings, effective approaches should be established to improve the health of women and their offspring.

Inflammatory markers in relation to maternal lifestyle and adverse pregnancy outcomes in twin pregnancies.

It is well known that inflammatory markers play an important role in the development and maintenance of healthy pregnancies. However, the literature regarding inflammation in relation to lifestyle and adverse pregnancy outcomes in twin pregnancies is remarkably uncovered. Therefore, this study aimed at evaluating the concentration of inflammatory markers in dried capillary blood spot samples from 523 women with twin pregnancies, included at a median gestational age of 21+1 weeks. The relationship between inflammatory markers and maternal lifestyle (current smoking status and pre-pregnancy body mass index) in addition to adverse pregnancy outcomes (preeclampsia, gestational diabetes mellitus, and small for gestational age) was analyzed. The study showed that active smoking at inclusion was associated with an elevated concentration of interleukin-8. Furthermore, maternal obesity was associated with an elevated concentration of C-reactive protein and monocyte chemoattractant protein-1. Analysis of the data showed no statistically significant variations in the concentration of the assessed inflammatory markers for neither preeclampsia, gestational diabetes mellitus, nor small for gestational age. The current study promotes future research on the pathophysiology of twin pregnancies in relation to adverse pregnancy outcomes, as the literature within the area remains scarce.

Postpartum glycemic and cardiometabolic profile of women testing positive for gestational diabetes mellitus by International Association of Diabetes and Pregnancy Study Groups (IADPSG) but negative by alternate criteria: Insights from CHIP-F study.

OBJECTIVE: To evaluate burden of postpartum diabetes and other cardiometabolic risk factors among women who test positive for gestational diabetes mellitus (GDM) by International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria, but negative by alternate criteria. METHODS: This prospective cross-sectional study was conducted from 2019 to 2022 and is a sub-study of the CHIP-F cohort (Cohort Study of Indian Women with Hyperglycemia in Pregnancy and their Families). RESULTS: Study participants (n = 826; 183 with normoglycemia and 643 with GDM using IADPSG criteria) were evaluated at a median (IQR) postpartum interval of 31 (21-45) months. Using the United Kingdom National Institute of Health and Care Excellence (UK NICE), Canadian Diabetes Association (CDA), and Diabetes in Pregnancy Study Group India (DIPSI) criteria, 251 (39.0 %), 148 (23.0 %) and 384 (59.7 %) women who tested positive for GDM by IADPSG criteria, would have tested negative. The incidence of postpartum diabetes among such women was 30.4, 34.3, and 48.2 per 1000 women-years, respectively, which was significantly higher than those testing negative by both IADPSG and UK NICE (5.0 per 1000 women-years), IADPSG and CDA (9.2/1000 women-years) and IADPSG and DIPSI criteria (5.0/1000 women-years). The burden of obesity and metabolic syndrome was also significantly higher in such women. CONCLUSIONS: We found a significant burden of postpartum diabetes and cardiometabolic risk factors among women who tested positive for GDM by IADPSG, but negative by alternate criteria. There are potential clinical implications of a "failed" diagnosis for future cardiometabolic diseases that need to be carefully examined.

Mitigation of gestational diabetes-induced endothelial dysfunction through FGF21-NRF2 pathway activation involving L-Cystine.

Gestational diabetes mellitus (GDM) disrupts glucolipid metabolism, endangering maternal and fetal health. Despite limited research on its pathogenesis and treatments, we conducted a study using serum samples from GDM-diagnosed pregnant women. We performed metabolic sequencing to identify key small molecule metabolites and explored their molecular interactions with FGF21. We also investigated FGF21's impact on GDM using blood samples from affected women. Our analysis revealed a novel finding: elevated levels of L-Cystine in GDM patients. Furthermore, we observed a positive correlation between L-Cystine and FGF21 levels, and found that L-Cystine induces NRF2 expression via FGF21 for a period of 96 h. Under high glucose (HG) conditions, FGF21 upregulates NRF2 and downstream genes NQO1 and EPHX1 via AKT phosphorylation induced by activation of IRS1, enhancing endothelial function. Additionally, we confirmed that levels of FGF21, L-Cystine, and endothelial function at the third trimester were effectively enhanced through appropriate exercise and diet during pregnancy in GDM patients (GDM + ED). These findings suggest FGF21 as a potential therapeutic agent for GDM, particularly in protecting endothelial cells. Moreover, elevated L-Cystine via appropriate exercise and diet might be a potential strategy to enhance FGF21's efficacy.

A risk prediction model of gestational diabetes mellitus based on traditional and genetic factors.

BACKGROUND: Gestational diabetes mellitus (GDM) is a prevalent pregnancy complication during pregnancy. We aimed to evaluate a risk prediction model of GDM based on traditional and genetic factors. METHODS: A total of 2744 eligible pregnant women were included. Face-to-face questionnaire surveys were conducted to gather general data. Serum test results were collected from the laboratory information system. Independent risk factors for GDM were identified using univariate and multivariate logistic regression analyses. A GDM risk prediction model was constructed and evaluated with the Hosmer-Lemeshow goodness-of-fit test, goodness-of-fit calibration plot, receiver operating characteristic curve and area under the curve. RESULTS: Among traditional factors, age ≥30 years, family history, GDM history, impaired glucose tolerance history, systolic blood pressure ≥116.22 mmHg, diastolic blood pressure ≥74.52 mmHg, fasting plasma glucose ≥5.0 mmol/L, 1-hour postprandial blood glucose ≥8.8 mmol/L, 2-h postprandial blood glucose ≥7.9 mmol/L, total cholesterol ≥4.50 mmol/L, low-density lipoprotein ≥2.09 mmol/L and insulin ≥11.5 mIU/L were independent risk factors for GDM. Among genetic factors, 11 single nucleotide polymorphisms (SNPs) (rs2779116, rs5215, rs11605924, rs7072268, rs7172432, rs10811661, rs2191349, rs10830963, rs174550, rs13266634 and rs11071657) were identified as potential predictors of the risk of postpartum DM among women with GDM history, collectively accounting for 3.6% of the genetic risk. CONCLUSIONS: Both genetic and traditional factors contribute to the risk of GDM in women, operating through diverse mechanisms. Strengthening the risk prediction of SNPs for postpartum DM among women with GDM history is crucial for maternal and child health protection.

We aimed to evaluate a risk prediction model of gestational diabetes mellitus (GDM) based on traditional and genetic factors. A total of 2744 eligible pregnant women were included. Face-to-face questionnaire surveys were conducted to collect general data. Among traditional factors, age ≥30 years old, family history, GDM history, impaired glucose tolerance history, systolic blood pressure ≥116.22 mmHg, diastolic blood pressure ≥74.52 mmHg, fasting plasma glucose ≥5.0 mmol/L, 1-hour postprandial blood glucose ≥8.8 mmol/L, 2-h postprandial blood glucose ≥7.9 mmol/L, total cholesterol ≥4.50 mmol/L, low-density lipoprotein ≥2.09 mmol/L and insulin ≥11.5 mIU/L were independent risk factors for GDM. Among genetic factors, 11 single nucleotide polymorphisms were identified as potential predictors of the risk of postpartum DM among women with GDM history, collectively accounting for 3.6% of the genetic risk. Both genetic and traditional factors increase the risk of GDM in women.

Effect of perinatal consumption of low-calorie sweetener on maternal health: A systematic review and meta-analysis.

BACKGROUND AND AIMS: Evidence regarding perinatal low-calorie (or artificial) sweetener (LCS) consumption and its effect on maternal health outcomes is limited and inconclusive. The primary outcomes of our systematic review and meta-analysis were the effect of preconception and pregnancy LCS exposure on reproductive and pregnancy outcomes. Secondary outcomes included long-term maternal health. METHODS: A systematic search of electronic databases, including PubMed, Embase, CINAHL, the Cochrane Library, Scopus, Web of Science, PsycINFO, ProQuest Health and Medical, ClinicalTrials.gov and Google Scholar, was conducted up to 20 November 2023. Primary studies, including clinical trials, cohort studies, case-control studies, which reported any LCS consumption during perinatal period and pregnancy and maternal health outcomes were eligible. A random effects model with restricted maximum likelihood estimation was used for the meta-analysis. We appraised the quality of the included studies using the National Institute of Health study quality appraisal tool and the overall quality of evidence using the Grading of Recommendations Assessment, Development, and Evaluation tool. RESULTS: A total of 19 eligible studies with 203,706 participants were included. LCS consumption during pregnancy was associated with 11% increased risk of preterm birth (RR = 1.11, 95% CI: 1.07-1.16, I2 = 0.01%) and 42% increased risk of gestational diabetes (RR = 1.42, 95% CI: 0.98-2.04, I2 = 67.60%) compared with no consumption, however, the effect size for gestational diabetes was not precise as the 95% CI indicated that the effect estimate could range from 2% lower risk to 204% (or 2.04 times) higher risk. We found no association between LCS consumption during pregnancy and gestational weight gain (standardized mean difference (SMD) = 0.04; 95% CI: -0.17 - 0.24, I2 = 41.31%) or gestational age at birth (SMD = 0.00; 95% CI: -0.13 - 0.14, I2 = 80.13%). The effect of LCS consumption on reproductive treatment outcomes were inconsistent. CONCLUSIONS: Based on the evidence available, LCS consumption in pregnancy was associated with increased risk of preterm birth and gestational diabetes. Robust research, such as well-designed randomized trials and large prospective cohort studies, is required to confirm the causal effect of LCS consumption during perinatal period on adverse maternal health outcomes.

Maternal and foetal risks associated with teenage pregnancy - a comparative retrospective study in Turkey.

BACKGROUND: Adolescent pregnancy is defined as pregnancy occurring in young women between the ages of 10 and 19 years. Adolescent pregnancies, which are among the social healthcare concerns in developed and developing countries, have negative effects on maternal and infant health. Pregnancy in adolescence puts the health of both the mother and child at risk, as adolescent pregnancies have higher rates of eclampsia, systemic infection, low birth weight, and preterm delivery compared to other pregnancies. In this study, the effects of education level, smoking, and marital status on maternal and foetal outcomes in adolescent pregnancies were evaluated. METHODS: The records of a total of 960 pregnant women (480 pregnant adolescents aged 15-19 years and 480 pregnant adult women aged 20-26 years) were examined retrospectively. The demographic data of the groups and maternal and foetal outcomes of the pregnancies were compared. A logistic regression model was established as a statistical method for reducing confounding effects. RESULTS: Unmarried women were statistically significantly more prevalent in the adolescent group (38.3% vs. 7.3%). Among the considered risk factors, preeclampsia (2.9% vs. 0.8%) and smoking (29.8% vs. 9.8%) were statistically significantly more common in the adolescent group. When the groups were compared in terms of risk factors in pregnancy, it was found that pregnancy in adolescence was associated with a 3.04-fold higher risk of smoking, 5.25-fold higher risk of being unmarried, 3.50-fold higher risk of preeclampsia, and 1.70-fold higher risk of intrauterine growth retardation (IUGR). CONCLUSIONS: This study demonstrates an increased risk of preeclampsia, IUGR, and smoking during pregnancy in adolescent pregnant women. These findings can be used to identify adolescent pregnancies requiring specific assistance and to take measures to reduce the probability of adverse outcomes.

In this study, we examine the risks of adolescent pregnancies. Adolescent pregnancy is a public health problem, and it is more common in underdeveloped or developing countries. We believe that non-governmental organisations and governments should take precautions regarding adolescent pregnancies and protect this legally vulnerable sociodemographic group from pregnancy. For healthier and more conscientious pregnancy experiences, mothers must be of appropriate age, having passed the period of adolescence. Adolescent pregnancies, which come with many risks, and especially risks of preeclampsia, premature birth, and maternal death, should be minimised or prevented.

Maternal gestational diabetes mellitus associates with altered gut microbiome composition and head circumference abnormalities in male offspring.

The impact of gestational diabetes mellitus (GDM) on maternal or infant microbiome trajectory remains poorly understood. Utilizing large-scale longitudinal fecal samples from 264 mother-baby dyads, we present the gut microbiome trajectory of the mothers throughout pregnancy and infants during the first year of life. GDM mothers had a distinct microbiome diversity and composition during the gestation period. GDM leaves fingerprints on the infant's gut microbiome, which are confounded by delivery mode. Further, Clostridium species positively correlate with a larger head circumference at month 12 in male offspring but not females. The gut microbiome of GDM mothers with male fetuses displays depleted gut-brain modules, including acetate synthesis I and degradation and glutamate synthesis II. The gut microbiome of female infants of GDM mothers has higher histamine degradation and dopamine degradation. Together, our integrative analysis indicates that GDM affects maternal and infant gut composition, which is associated with sexually dimorphic infant head growth.

One-year postpartum weight retention and glucose intolerance in women with prediabetes after gestational diabetes.

AIMS: To determine risk factors for 1-year postpartum weight retention (PPWR) and glucose intolerance (prediabetes + diabetes) in women with a previous history of gestational diabetes (GDM) and prediabetes in early postpartum. METHODS: In this exploratory analysis of the MELINDA randomized controlled trial, we report data of 167 women with prediabetes at the 6-16 weeks (early) postpartum oral glucose tolerance test after a recent history of GDM. RESULTS: Of all participants, 45% (75) had PPWR >0 kg at 1-year postpartum. Compared to women without PPWR, women with PPWR had higher gestational weight gain [10.5 ± 6.4 vs. 6.5 ± 4.5 kg, p < 0.001], higher BMI (p < 0.01) and a worse metabolic profile (higher waist circumference, worse lipid profile and more insulin resistance) (all p < 0.05) both in early and late postpartum. Of all women with PPWR, 40.0% developed metabolic syndrome, compared to 18.9% of women without late PPWR (p = 0.003). The only independent predictor for late PPWR was weight retention in early postpartum (p < 0.001). Of all participants, 55.1% (92) had glucose intolerance (84 prediabetes, 8 diabetes) 1-year postpartum. Independent predictors for late postpartum glucose intolerance were lower gestational age at start insulin therapy in pregnancy and delivery by caesarean section (resp. p = 0.044 and 0.014). CONCLUSIONS: In women with a previous history of GDM and prediabetes in early postpartum, PPWR in early postpartum was a strong independent predictor for late PPWR, while earlier start of insulin therapy during pregnancy and delivery by caesarean section were independent predictors of glucose intolerance in late postpartum.

Preeclampsia and neonatal outcomes in pregnancies with maternal congenital heart disease: A nationwide cohort study from Norway.

INTRODUCTION: The prevalence of congenital heart disease (CHD) among women of reproductive age is rising. We aimed to investigate the risk of preeclampsia and adverse neonatal outcomes in pregnancies of mothers with CHD compared to pregnancies of mothers without heart disease. MATERIAL AND METHODS: In a nationwide cohort of pregnancies in Norway 1994-2014, we retrieved information on maternal heart disease, the course of pregnancy, and neonatal outcomes from national registries. Comparing pregnancies with maternal CHD to pregnancies without maternal heart disease, we used Cox regression to estimate the adjusted hazard ratio (aHR) for preeclampsia and log-binomial regression to estimate the adjusted risk ratio (aRR) for adverse neonatal outcomes. The estimates were adjusted for maternal age and year of childbirth and presented with 95% confidence intervals (CIs). RESULTS: Among 1 218 452 pregnancies, 2425 had mild maternal CHD, and 603 had moderate/severe CHD. Compared to pregnancies without maternal heart disease, the risk of preeclampsia was increased in pregnancies with mild and moderate/severe maternal CHD (aHR1.37, 95% CI 1.14-1.65 and aHR 1.62, 95% CI 1.13-2.32). The risk of preterm birth was increased in pregnancies with mild maternal CHD (aRR 1.33, 95% CI 1.15-1.54) and further increased with moderate/severe CHD (aRR 2.49, 95% CI 2.03-3.07). Maternal CHD was associated with elevated risks of both spontaneous and iatrogenic preterm birth. The risk of infants small-for-gestational-age was slightly increased with mild maternal CHD (aRR 1.12, 95% CI 1.00-1.26) and increased with moderate/severe CHD (aRR 1.63, 95% CI 1.36-1.95). The prevalence of stillbirth was 3.9 per 1000 pregnancies without maternal heart disease, 5.6 per 1000 with mild maternal CHD, and 6.8 per 1000 with moderate/severe maternal CHD. Still, there were too few cases to report a significant difference. There were no maternal deaths in women with CHD. CONCLUSIONS: Moderate/severe maternal CHD in pregnancy was associated with increased risks of preeclampsia, preterm birth, and infants small-for-gestational-age. Mild maternal CHD was associated with less increased risks. For women with moderate/severe CHD, their risk of preeclampsia and adverse neonatal outcomes should be evaluated together with their cardiac risk in pregnancy, and follow-up in pregnancy should be ascertained.

Blended Tele-mentoring Support for Strengthening Antenatal Care by Private Health care Facilities: FOGSI VISTRIT INITIATIVE.

Introduction: The objective of the present initiative was to build capacity of health care providers in private sector along with standardisation of care during antenatal period for common antenatal problems of GDM and iron deficiency anaemia in private sector. Methods: A pilot project for all levels of health care providers including doctors, nurses, counsellors and laboratory technicians of 34 private facilities in six districts of Jharkhand was planned. Training modules for GDM and anaemia based on government of India guidelines were developed. End line evaluation included data collection and descriptive analysis of quantitative data quality scores from assessment standards on GDM and anaemia in pregnancy. Results: Knowledge assessment of health care providers and doctors through baseline and end line knowledge assessment survey questionnaire showed that 100% health care providers who were trained scored 85% or more in knowledge assessment questionnaires as seen by baseline and end line questionnaire results. All project hospitals (n = 34) in Jharkhand achieved quality standards of care in intervention period for gestational diabetes mellitus and anaemia in pregnancy. They achieved total score more than 80% and exceeded target of 80% of the quality standards. Conclusion: A systematic strengthening of private health care facilities through a blended tele-mentoring and onsite support is possible. Supplementary Information: The online version contains supplementary material available at 10.1007/s13224-023-01866-5.

The association between circulating phenylalanine and the temporal risk of impaired insulin markers in gestational diabetes mellitus.

Background: We aimed to contrast plasma amino acid concentrations in pregnant women with Gestational Diabetes Mellitus (GDM) to those without, to analyze the link between plasma amino acid concentrations, GDM, insulin resistance, and insulin secretion at 24-28 weeks of gestation. Methods: The research employed a retrospective case-control study design at a single center. Basic demographic and laboratory data were procured from the hospital's case system. The study encompassed seventy women without gestational diabetes mellitus (GDM) and thirty-five women with GDM matched in a 1-to-2 ratio for age and pre-pregnancy BMI. Utilizing high-performance liquid chromatography-mass spectrometry (HPLC-MS), peripheral fasting plasma amino acid concentrations in these women, during mid-pregnancy, were duly measured. We carefully evaluated the significant differences in the quantitative data between the two groups and developed linear regression models to assess the independent risk factors affecting insulin resistance and insulin secretion. Results: Significant variations in insulin secretion and resistance levels distinguished GDM Group from the non-GDM group at three distinct time points, alongside relatively elevated serum Glycosylated Hemoglobin (HbA1c) levels. Triglycerides (TG) were also significantly increased in those with GDM during adipocytokine observations. Apart from glutamic acid and glutamine, the concentrations of the remaining 16 amino acids were notably increased in GDM patients, including all branched chain amino acids(BCAAs) and aromatic amino acids(AAAs). Ultimately, it was ascertained that fasting serum phenylalanine levels were independent risk factors affecting insulin resistance index and insulin secretion at various phases. Conclusions: Various fasting serum amino acid levels are markedly increased in patients with GDM, specifically phenylalanine, which may play role in insulin resistance and secretion.

A stepwise prediction and interpretation of gestational diabetes mellitus: Foster the practical application of machine learning in clinical decision.

Background: Machine learning has shown to be an effective method for early prediction and intervention of Gestational diabetes mellitus (GDM), which greatly decreases GDM incidence, reduces maternal and infant complications and improves the prognosis. However, there is still much room for improvement in data quality, feature dimension, and accuracy. The contributions and mechanism explanations of clinical data at different pregnancy stages to the prediction accuracy are still lacking. More importantly, current models still face notable obstacles in practical applications due to the complex and diverse input features and difficulties in redeployment. As a result, a simple, practical but accurate enough model is urgently needed. Design and methods: In this study, 2309 samples from two public hospitals in Shenzhen, China were collected for analysis. Different algorithms were systematically compared to build a robust and stepwise prediction system (level A to C) based on advanced machine learning, and models under different levels were interpreted. Results: XGBoost reported the best performance with ACC of 0.922, 0.859 and 0.850, AUC of 0.974, 0.924 and 0.913 for the selected level A to C models in the test set, respectively. Tree-based feature importance and SHAP method successfully identified the commonly recognized risk factors, while indicated new inconsistent impact trends for GDM in different stages of pregnancy. Conclusion: A stepwise prediction system was successfully established. A practical tool that enables a quick prediction of GDM was released at https://github.com/ifyoungnet/MedGDM.This study is expected to provide a more detailed profiling of GDM risk and lay the foundation for the application of the model in practice.

A framework to classify gestational diabetes diagnosed by routine antenatal 75g glucose tolerance testing.

OBJECTIVE: To create an objective framework to classify gestational diabetes mellitus diagnosed by routine antenatal 75 g diabetes testing results to provide an alternative to current treatment-based classification. METHODS: A framework was created to classify gestational diabetes according to the severity of glycemic abnormalities after routine antenatal 75 g GTT (classes 1 through 4, determined by fasting and post-test glycemic abnormalities). A retrospective cohort chart review was used to correlate clinically how often diet therapy alone maintained glycemic targets throughout pregnancy in each class. Chi-square analysis was used to assess inter-class differences in the success of diet therapy alone maintaining glycemic targets throughout pregnancy. RESULTS: Seventy-four of 228 (33%), 35/228 (15%), 76/228 (33%), and 43/228 (19%) of the study population were classified as Class 1, 2, 3, or 4, respectively. Of eighty-nine patients who maintained glycemic targets throughout pregnancy with diet alone 51/89 (57%) were Class 1, 20/89 (22.5%) were Class 2, 11/89 (12.5%) were Class 3, and 7/89 (8%) were Class 4. Chi-square analysis showed statistically significant inter-class differences in the likelihood of diet therapy alone maintaining glycemic targets throughout pregnancy. CONCLUSION: In this framework classifying gestational diabetes according to the severity of glycemic abnormalities after routine antenatal 75 g GTT (an objective proxy for disease severity), the higher the assigned class, the less likely that diet therapy alone maintained glycemic targets throughout pregnancy (a clinical proxy for disease severity).