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]

Sexual orientation disparities in gestational diabetes and hypertensive disorders of pregnancy.

BACKGROUND: Sexual minority (SM) individuals (e.g., those with same-sex attractions/partners or who identify as lesbian/gay/bisexual) experience a host of physical and mental health disparities. However, little is known about sexual orientation-related disparities in gestational diabetes mellitus (GDM) and hypertensive disorders of pregnancy (HDP; gestational hypertension [gHTN] and preeclampsia). OBJECTIVE: To estimate disparities in GDM, gHTN and preeclampsia by sexual orientation. METHODS: We used data from the Nurses' Health Study II-a cohort of nurses across the US enrolled in 1989 at 25-42 years of age-restricted to those with pregnancies ≥20 weeks gestation and non-missing sexual orientation data (63,518 participants; 146,079 pregnancies). Our primary outcomes were GDM, gHTN and preeclampsia, which participants reported for each of their pregnancies. Participants also reported their sexual orientation identity and same-sex attractions/partners. We compared the risk of each outcome in pregnancies among heterosexual participants with no same-sex experience (reference) to those among SM participants overall and within subgroups: (1) heterosexual with same-sex experience, (2) mostly heterosexual, (3) bisexual and (4) lesbian/gay participants. We used modified Poisson models to estimate risk ratios (RR) and 95% confidence intervals (CI), fit via weighted generalised estimating equations, to account for multiple pregnancies per person over time and informative cluster sizes. RESULTS: The overall prevalence of each outcome was ≤5%. Mostly heterosexual participants had a 31% higher risk of gHTN (RR 1.31, 95% CI 1.03, 1.66), and heterosexual participants with same-sex experience had a 31% higher risk of GDM (RR 1.31, 95% CI 1.13, 1.50), compared to heterosexual participants with no same-sex experience. The magnitudes of the risk ratios were high among bisexual participants for gHTN and preeclampsia and among lesbian/gay participants for gHTN. CONCLUSIONS: Some SM groups may be disparately burdened by GDM and HDP. Elucidating modifiable mechanisms (e.g., structural barriers, discrimination) for reducing adverse pregnancy outcomes among SM populations is critical.

Examining the association between prenatal cannabis exposure and child autism traits: A multi-cohort investigation in the environmental influences on child health outcome program.

This study examined the association between prenatal cannabis exposure and autism spectrum disorder (ASD) diagnoses and traits. A total sample of 11,570 children (ages 1-18; 53% male; 25% Hispanic; 60% White) from 34 cohorts of the National Institutes of Health-funded environmental influences on child health outcomes consortium were included in analyses. Results from generalized linear mixed models replicated previous studies showing that associations between prenatal cannabis exposure and ASD traits in children are not significant when controlling for relevant covariates, particularly tobacco exposure. Child biological sex did not moderate the association between prenatal cannabis exposure and ASD. In a large sample and measuring ASD traits continuously, there was no evidence that prenatal cannabis exposure increases the risk for ASD. This work helps to clarify previous mixed findings by addressing concerns about statistical power and ASD measurement.

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.

Comparative effects of insulin pump and injection on gestational diabetes mellitus pregnancy outcomes and serum biomarkers.

BACKGROUND: Insulin injection is the basic daily drug treatment for diabetic patients. AIM: To evaluate the comparative impacts of continuous subcutaneous insulin infusion (CSII). METHODS: Based on the treatment modality received, the patients were allocated into two cohorts: The CSII group and the multiple daily injections (MDI) group, with each cohort comprising 210 patients. Comparative assessments were made regarding serum levels of serum-secreted frizzled-related protein 5, homocysteine, and C1q/TNF-related protein 9. Furthermore, outcomes such as fasting plasma glucose, 2-hour postprandial glucose levels, pain assessment scores, and the incidence of complications were evaluated post-treatment. RESULTS: The CSII group displayed notably lower fasting plasma glucose and 2-h postprandial glucose levels in comparison to the MDI group (P < 0.05). Subsequent analysis post-treatment unveiled a significantly higher percentage of patients reporting no pain in the CSII group (60.00%) in contrast to the MDI group (36.19%) (P < 0.05). Additionally, the CSII group exhibited a markedly reduced occurrence of fetal distress and premature rupture of membranes compared to the MDI group (P < 0.05). However, there were no significant variances observed in other pregnancy outcomes between the two groups (P > 0.05). A statistical analysis revealed a significant difference in the incidence of complications between the groups (χ 2 = 11.631, P = 0.001). CONCLUSION: The utilization of CSII via an insulin pump, as opposed to MDI, can significantly enhance the management of insulin administration in patients with GDM by diversifying the sites of insulin delivery. This approach not only promotes optimal glycemic control but also regulates metabolic factors linked to blood sugar, reducing the likelihood of adverse pregnancy outcomes and complications. The clinical relevance and importance of CSII in GDM management highlight its wide-ranging clinical usefulness.

The impact of reference growth standards on small- and large-for-gestational age outcomes among pregnancies conceived by fresh and frozen embryo transfers.

Objective: To describe differences in the frequency of small-for-gestational age (SGA) and large-for-gestational age (LGA) driven by different birth weight curves in assisted reproductive technology (ART)-conceived pregnancies. Design: Retrospective cohort study. Setting: Single academic medical center. Patients: Singleton live births between the gestational ages of 36 weeks and 0 days and 42 weeks and 6 days from fresh or frozen embryo transfer (ET). Interventions: None. Main Outcome Measures: SGA (<10th percentile) and LGA (>90th percentile) classified by Fenton, INTERGROWTH-21, World Health Organization, Duryea, and Oken curves. Results: The median birth weight and gestational age at birth among fresh ET pregnancies were 3,289g (interquartile range [IQR], 2,977-3,600g) and 39.4 (IQR, 38.6-40.3) weeks, respectively, and those among frozen ET pregnancies were 3,399g (IQR, 3,065-3,685g) and 39.4 (IQR, 38.7-40.1) weeks, respectively. The frequencies of SGA neonates using each birth weight standard ranged from 5.8% to 13.4% for fresh ET and from 3.5% to 8.7% for frozen ET. Those of LGA neonates ranged from 5.3% to 14.3% for fresh ET and from 6.6% to 21.2% for frozen ET. Conclusion: The frequency of SGA and LGA neonates among ART-conceived gestations is partially driven by the birth weight standard. Selecting an appropriate standard that best reflects the patient population is critical to quantifying the risk of ART-conceived pregnancies.

Developing and validating a predictive model of delivering large-for-gestational-age infants among women with gestational diabetes mellitus.

BACKGROUND: The birth of large-for-gestational-age (LGA) infants is associated with many short-term adverse pregnancy outcomes. It has been observed that the proportion of LGA infants born to pregnant women with gestational diabetes mellitus (GDM) is significantly higher than that born to healthy pregnant women. However, traditional methods for the diagnosis of LGA have limitations. Therefore, this study aims to establish a predictive model that can effectively identify women with GDM who are at risk of delivering LGA infants. AIM: To develop and validate a nomogram prediction model of delivering LGA infants among pregnant women with GDM, and provide strategies for the effective prevention and timely intervention of LGA. METHODS: The multivariable prediction model was developed by carrying out the following steps. First, the variables that were associated with LGA risk in pregnant women with GDM were screened by univariate analyses, for which the P value was < 0.10. Subsequently, Least Absolute Shrinkage and Selection Operator regression was fit using ten cross-validations, and the optimal combination factors were selected by choosing lambda 1se as the criterion. The final predictors were determined by multiple backward stepwise logistic regression analysis, in which only the independent variables were associated with LGA risk, with a P value < 0.05. Finally, a risk prediction model was established and subsequently evaluated by using area under the receiver operating characteristic curve, calibration curve and decision curve analyses. RESULTS: After using a multistep screening method, we establish a predictive model. Several risk factors for delivering an LGA infant were identified (P < 0.01), including weight gain during pregnancy, parity, triglyceride-glucose index, free tetraiodothyronine level, abdominal circumference, alanine transaminase-aspartate aminotransferase ratio and weight at 24 gestational weeks. The nomogram's prediction ability was supported by the area under the curve (0.703, 0.709, and 0.699 for the training cohort, validation cohort, and test cohort, respectively). The calibration curves of the three cohorts displayed good agreement. The decision curve showed that the use of the 10%-60% threshold for identifying pregnant women with GDM who are at risk of delivering an LGA infant would result in a positive net benefit. CONCLUSION: Our nomogram incorporated easily accessible risk factors, facilitating individualized prediction of pregnant women with GDM who are likely to deliver an LGA infant.

Gestational organophosphate esters (OPEs) exposure in association with placental DNA methylation levels of peroxisome proliferator-activated receptors (PPARs) signaling pathway-related genes.

BACKGROUND: Organophosphate esters (OPEs) exposure could affect offspring health. However, the underlying mechanisms are not well documented. OBJECTIVES: Based on a birth cohort study, we aimed to investigate the associations among gestational OPEs exposure, placental DNA methylation levels of peroxisome proliferator-activated receptor (PPAR) signaling pathway-related genes, and fetal growth. METHODS: We measured the concentrations of eight OPE metabolites in maternal urine samples and neonatal anthropometric measurements in 733 mother-child pairs. In 327 placental samples, we assessed the DNA methylation levels of 14 genes which were involved in the PPARs signaling pathway and expressed in placenta. Multiple linear regression models were used to examine the associations of OPEs exposure with placental DNA methylation, and of OPEs and placental DNA methylation with neonatal anthropometric measurements. Causal mediation analyses were conducted to examine the potential mediating role of placental DNA methylation in the pathway between OPEs exposure and fetal growth. RESULTS: We observed a general pattern of OPEs exposure being associated with hypermethylation of candidate genes, with statistically significant associations identified for several OPEs with RXRA, ACAA1, ACADL, ACADM, PLTP, and NR1H3 methylation. Further, gestational exposure to BCIPP, DPP, BBOEP, ∑NCl-OPEs, and ∑OPEs tended to be associated with lower anthropometric measurements, with more significant associations observed on arm circumference, and abdominal and back skinfold thickness. Notably, RXRA, ACAA1, ACOX1, CPT2, ACADM, and NR1H3 methylation tended to be associated with lower neonatal anthropometric measurements, especially for abdominal and back skinfold thickness. Moreover, mediation analyses showed that 19.42 % of the total effect of DPP on the back skinfold thickness was mediated by changes in RXRA methylation, and there was a significant indirect effect of RXRA methylation. CONCLUSIONS: Gestational OPEs exposure could disrupt the placental DNA methylation levels of PPAR signaling pathway-related genes, which might contribute to the effect of OPEs on fetal growth.

A prospective cohort study of multimetal exposure and risk of gestational diabetes mellitus.

The relationship between co-exposure to multiple metals and gestational diabetes mellitus (GDM) and the mechanisms involved are poorly understood. In this nested case-control study, 228 GDM cases and 456 matched controls were recruited, and biological samples were collected at 12-14 gestational weeks. The urinary concentrations of 10 metals and 8-hydroxydeoxyguanosine (8-OHdG) as well as the serum levels of malondialdehyde (MDA) and advanced glycation end products (AGEs) were determined to assess the association of metals with GDM risk and the mediating effects of oxidative stress. Urinary Ti concentration was significantly and positively associated with the risk of GDM (odds ratio [OR]:1.45, 95 % confidence interval [CI]: 1.12, 1.88), while Mn and Fe were negatively associated with GDM risk (OR: 0.67, 95 % CI: 0.50, 0.91 or OR: 0.61, 95 % CI: 0.47, 0.80, respectively). A significant negative association was observed between Mo and GDM risk, specifically in overweight and obese pregnant women. Bayesian kernel machine regression showed a significant negative joint effect of the mixture of 10 metals on GDM risk. The adjusted restricted cubic spline showed a protective role of Mn and Fe in GDM risk (P < 0.05). A significant negative association was observed between essential metals and GDM risk in quantile g-computation analysis (P < 0.05). Mediation analyses showed a mediating effect of MDA on the association between Ti and GDM risk, with a proportion of 8.7 % (P < 0.05), and significant direct and total effects on Ti, Mn, and Fe. This study identified Ti as a potential risk factor and Mn, Fe, and Mo as potential protective factors against GDM, as well as the mediating effect of lipid oxidation.

The impact of a culturally adapted lifestyle intervention on the glycaemic profile of mothers with GDM one year after delivery - a community-based, cluster randomized trial in Sri Lanka.

BACKGROUND: A woman with a history of GDM has a high risk of developing type two diabetes (T2DM) in her future life. Lifestyle modifications are known to attenuate the progression of GDM to T2DM. Therefore, the aim of this study was to assess the impact of a simple, cost effective, culturally acceptable lifestyle intervention programme on the trajectory towards T2DM in women with a history of GDM. METHODS: This cluster randomized trial was conducted in 100 postpartum women in three selected districts of Sri Lanka. The subjects were divided into intervention (n = 50) and control groups (n = 50) by cluster randomization method. A culturally adapted protocol (comprised of dietary and physical activity modifications) was administered to the intervention group. The glycemic profile was assessed using fasting and 2-hour post-OGTT plasma glucose and HbA1c, and insulin resistance by HOMA-IR at baseline and after one year of intervention. RESULTS: The mean age (SD) of the subjects in the intervention and control groups were 33.0 (5.1) and 34.3 (6.5) years respectively. All glycemic and insulin resistance parameters (i.e. Fasting plasma glucose- FPG, 2-hour post-OGTT plasma glucose, HbA1c and HOMA-ir) were comparable (p > 0.05) between the two groups at baseline. FPG, 2 h post OGTT, HbA1c and HOMA-ir values between intervention vs. control (p) at 12 months were 87.3 vs. 123.2 (< 0.01); 106.5 vs. 156.1 (0.01); 5.3 vs. 6.8 (< 0.01) and 0.9 vs. 2.3 (< 0.01) respectively. All glycemic parameters showed a significant reduction in the intervention group at 12 months compared to baseline. In contrast, the control group showed a significant increase in FPG, 2-hour post-OGTT plasma glucose and HbA1c at 12 months compared to baseline. In multiple linear regression model adjusted for age, parity and family history, the control group showed an approximately 33 times risk of developing insulin resistance compared to the intervention group. CONCLUSION: The culturally acceptable and individualized lifestyle intervention was able to produce remarkable reductions in glycaemic and insulin resistance parameters among postpartum women with a history of GDM. TRIAL REGISTRATION: Ethical clearance was obtained from the Ethics Review Committee of the University of Sri Jayewardenepura, Sri Lanka (ERC 52/14), Sri Lanka Clinical trial registration number Sri Lanka Clinical Trials Registry (SLCTR/2015/021 date 25.09.2015).

The impact of impaired intrauterine growth on male fertility: A systematic review and meta-analysis.

BACKGROUND: Adverse intrauterine environment was believed to have deleterious effects on the gonadal function. However, the association between impaired intrauterine growth and fertility in adult males has not been established. OBJECTIVES: To compare the reproductive rates of males born small for gestational age (SGA), with low birth weight (LBW) or very low birth weight (VLBW) with control groups. METHODS: The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement was followed to search PubMed, Web of Science, Cochrane Library, and Embase databases from inception to June 16, 2023. Cohort studies investigating the reproductive rates of males born SGA, with LBW or VLBW were included. A random or fixed effects model was used for different exposures. RESULTS: A total of 10 studies out of 3,801 records were included. Males born SGA showed a higher risk of infertility than the control group (odds ratio, OR = 0.91, 95% confidence interval, 95% CI 0.89-0.93, p = 0.000). The reproductive rates of individuals born with LBW or VLBW were lower than the control group (OR = 0.86, 95% CI 0.78-0.94, p = 0.001; OR = 0.57, 95% CI 0.40-0.81, p = 0.002, respectively). Participants were further divided into two age groups of 18-35 and 35-45 years. In both subgroups, the reproductive rates were lower in males born SGA, with LBW or VLBW compared with controls. Sensitivity analysis showed the robustness of the pooled estimates among LBW and VLBW. CONCLUSION: In summary, SGA, LBW, and VLBW were associated with a higher risk of male infertility in both early and middle adulthood. Achieving optimal intrauterine growth would be helpful to prevent male infertility.

Sex-specific effect of antenatal Zika virus infection on murine fetal growth, placental nutrient transporters, and nutrient sensor signaling pathways.

Maternal Zika virus (ZIKV) infection during pregnancy has been associated with severe intrauterine growth restriction (IUGR), placental damage, metabolism disturbances, and newborn neurological abnormalities. Here, we investigated the impact of maternal ZIKV infection on placental nutrient transporters and nutrient-sensitive pathways. Immunocompetent (C57BL/6) mice were injected with Low (103 PFU-ZIKVPE243) or High (5 × 107 PFU-ZIKVPE243) ZIKV titers at gestational day (GD) 12.5, and tissue was collected at GD18.5 (term). Fetal-placental growth was impaired in male fetuses, which exhibited higher placental expression of the ZIKV infective marker, eukaryotic translation initiation factor 2 (eIF2α), but lower levels of phospho-eIF2α. There were no differences in fetal-placental growth in female fetuses, which exhibited no significant alterations in placental ZIKV infective markers. Furthermore, ZIKV promoted increased expression of glucose transporter type 1 (Slc2a1/Glut1) and decreased levels of glucose-6-phosphate in female placentae, with no differences in amino acid transport potential. In contrast, ZIKV did not impact glucose transporters in male placentae but downregulated sodium-coupled neutral amino acid 2 (Snat2) transporter expression. We also observed sex-dependent differences in the hexosamine biosynthesis pathway (HBP) and O-GlcNAcylation in ZIKV-infected pregnancies, showing that ZIKV can disturb placental nutrient sensing. Our findings highlight molecular alterations in the placenta caused by maternal ZIKV infection, shedding light on nutrient transport, sensing, and availability. Our results also suggest that female and male placentae employ distinct coping mechanisms in response to ZIKV-induced metabolic changes, providing insights into therapeutic approaches for congenital Zika syndrome.

Risk of teratogenicity in continued pregnancy after gestational exposure to mifepristone and/or misoprostol: a systematic review and meta-analysis.

PURPOSE: This meta-analysis aimed to comprehensively assess the teratogenic risk to offspring associated with continuing pregnancy after administering mifepristone and/or misoprostol during gestation. METHODS: We conducted a systematic search of multiple databases, including PubMed, Web of Science, Embase, Cochrane, CNKI, and CBM, from their inception to February 2024, with no language restrictions. We included cohort and case-control studies that analyzed the teratogenic effects of mifepristone and/or misoprostol on fetuses and newborns. Quality assessment was performed using the Newcastle-Ottawa Scale (NOS). The odds ratios (OR) from individual studies were combined using meta-analysis. Sensitivity testing and heterogeneity analysis were conducted. RESULTS: A total of 13 studies were eligible for inclusion, comprising 5193 cases of congenital malformations and 12,232 controls. CONCLUSION: Our findings indicated that the use of misoprostol during early pregnancy increased the risk of congenital abnormalities in offspring (OR = 2.69; 95% CI: 1.57-4.62). However, the potential teratogenic effect of mifepristone during pregnancy cannot be ruled out. Additionally, the use of mifepristone and/or misoprostol has been linked to a higher risk of certain congenital anomalies, such as hydrocephalus (OR = 3.41; 95% CI: 1.17-9.97), Möbius syndrome (OR = 26.48; 95% CI: 11.30-62.01), and terminal transverse limb defects (OR = 10.75; 95% CI: 3.93-29.41). (PROSPERO, CRD42024522093, 03182024).

Does the gestational age at which the glucose challenge test (GCT) is conducted influence the diagnosis of gestational diabetes mellitus (GDM)?

PURPOSE: This study's objective is to investigate disparities in the rates of gestational diabetes mellitus (GDM) diagnosis, influenced by the timing of the glucose challenge test GCT. METHODS: This retrospective cohort study included women with singleton or twin pregnancies exhibiting abnormal GCT result between 24 and 28 weeks of gestation, followed by an oral glucose tolerance test OGTT during the same period. Data regarding pregnancy follow-up from patients' deliveries at a singular tertiary medical from 2014 to 2022 were retrieved. The probability of GDM diagnosis was stratified based on the gestational week of the GCT and the definition of a positive OGTT, delineated by one or two abnormal values. RESULTS: The study included 636 women with abnormal GCT between 24 and 28 weeks of gestation. Of them, 157 unerwent the GCT between 24.0 and 24.6 weeks, 204 between 25.0 and 25.6 weeks, 147 between 26.0 and 26.6 weeks, and 128 between 27.0 and 28.6 weeks. We found that the highest incidence of GDM, defined by one or two pathological values of the OGTT, following the initial screening with a GCT, where abnormal results were defined as values exceeding 140 mg/dL, was diagnosed in patients who underwent GCT between 26.0 and 26.6 weeks of gestation. Conversely, the lowest rates were observed in patients screened between 24.0 and 24.6 weeks of gestation. CONCLUSION: The timing of screening for GDM using the GCT significantly affects the rate of diagnosis. Clinicians managing pregnancies should consider this data when formulating treatment plans.

Positive parental history of diabetes is associated with early diagnosis, better dietary compliance, and glycemic control among type 2 diabetes patients in southern Sri Lanka.

BACKGROUND: Parental history of diabetes is an established risk factor for type 2 diabetes mellitus (T2DM). There is limited data on the association of parental history with the prevalence of T2DM in Sri Lanka. The study aims to examine the prevalence and correlation of parental history and factors such as the onset age, glycaemic control, and self-reported dietary compliance among T2DM patients. With a rising incidence of T2DM in Sri Lanka, understanding the impact of parental history on age at diagnosis and glycemic control can aid in targeted screening and interventions. METHODS: A cross-sectional study was carried out on 500 T2DM patients attending a diabetes clinic in Galle, the capital of Southern Sri Lanka with a multiethnic population. Convenient sampling strategy was followed in the recruitment process and a questionnaire-based method was used to collect the data. All the collected data was analysed using SPSS V 25.0. RESULTS: 51.2% had a parental history of T2DM, and those with a positive parental history were diagnosed six years earlier than those with a negative parental history (p < 0.001). A significant correlation between parental history and gestational diabetes mellitus (GDM) was observed (p < 0.001). Patients with a parental history reported better dietary adherence (p < 0.001). Binary logistic regression analysis revealed patients with positive parental history had significantly lower HbA1C (p = 0.003, OR = 0.748). CONCLUSION: T2DM patients with a parental history showed significant association with early diabetes onset, GDM, better glycemic control, and dietary adherence.

Association between risk of infant death and birth-weight z scores according to gestational age: A nationwide study using the Finnish Medical Birth Register.

OBJECTIVE: To investigate the association between infant mortality and birth weight using estimated fetal weight (EFW) versus birth-weight charts, by gestational age (GA). METHODS: This nationwide population-based study used data from the Finnish Medical Birth Register from 2006 to 2016 on non-malformed singleton live births at 24-41+6 weeks of gestation (N = 563 630). The outcome was death in the first year of life. Mortality risks by birth-weight z score, defined as a continuous variable using Marsál's EFW and Sankilampi's birth-weight charts, were assessed using generalized additive models by GA (24-27+6, 28-31+6, 32-36+6, 37-38+6, 39-41+6 weeks). We calculated z score thresholds associated with a two- and three-fold increased risk of infant death compared with newborns with a birth weight between 0 and 0.675 standard deviations. RESULTS: The z score thresholds (with corresponding centiles in parentheses) associated with a two-fold increase in infant mortality were: -3.43 (<0.1) at 24-27+6 weeks, -3.46 (<0.1) at 28-31+6 weeks, -1.29 (9.9) at 32-36+6 weeks, -1.18 (11.9) at 37-38+6 weeks, and - 1.34 (9.0) at 39-41+6 weeks according to the EFW chart. These values were - 2.43 (0.8), -2.62 (0.4), -1.34 (9.0), -1.37 (8.5), and - 1.43 (7.6) according to the birth-weight chart. CONCLUSION: The association between birth weight and infant mortality varies by GA whichever chart is used, suggesting that different thresholds for the screening of growth anomalies could be used across GA to identify high-risk newborns.

Association between atherogenic index of plasma and gestational diabetes mellitus: a prospective cohort study based on the Korean population.

BACKGROUND: Atherogenic index of plasma (AIP) is a non-traditional lipid parameter that can reflect the burden of atherosclerosis. A lipid profile resembling atherosclerosis emerged during pregnancy. Although lipid metabolism is pivotal in diabetes pathogenesis, there is no evidence linking AIP to gestational diabetes mellitus (GDM). Therefore, our objective was to explore the relationship between AIP and GDM and assess AIP's predictive capability for GDM. METHODS: This was a secondary analysis based on data from a prospective cohort study in Korea involving 585 single pregnant women. AIP was calculated as log10 (TG/HDL). We examined the relationship between AIP and GDM using logistic regression models, curve fitting, sensitivity analyses, and subgroup analyses. Receiver operating characteristic (ROC) analysis was also used to determine the ability of AIP to predict GDM. RESULTS: The average age of the participants was 32.06 ± 3.76 years. The AIP was 0.24 ± 0.20 on average. The GDM incidence was 6.15%. After adjustment for potentially confounding variables, AIP showed a positive linear relationship with GDM (P for non-linearity: 0.801, OR 1.58, 95% CI 1.27-1.97). The robustness of the connection between AIP and GDM was demonstrated by sensitivity analyses and subgroup analyses. An area under the ROC curve of 0.7879 (95% CI 0.7087-0.8671) indicates that AIP is an excellent predictor of GDM. With a specificity of 75.41% and sensitivity of 72.22%, the ideal AIP cut-off value for identifying GDM was 0.3557. CONCLUSIONS: This study revealed that the AIP at 10-14 weeks of gestation was independently and positively correlated with GDM risk. AIP could serve as an early screening and monitoring tool for pregnant women at high risk of GDM, thereby optimizing GDM prevention strategies. TRIAL REGISTRATION: ClinicalTrials.gov registration no. NCT02276144.

Association of dietary glycemic index and glycemic load with the risk of gestational diabetes mellitus: a systematic review and dose-response meta-analysis.

OBJECTIVE: To comprehensively assess the dose-response association between dietary glycemic index (GI) and glycemic load (GL) and gestational diabetes mellitus (GDM) risk. METHODS: PubMed, Embase, Cochrane Library, Web of Science, CNKI, WanFang, and VIP databases were searched up to May 29, 2024. Studies with at least three exposure categories were included. Dose-response analysis was also performed when covariates were adjusted in the included studies. RESULTS: Thirteen studies involving 39,720 pregnant women were included. A linear relationship was found between GI and the risk of GDM (χ2 = 4.77, Pnon-linearity = .0923). However, association was not significant (χ2 = 0.06, p = .8000). For every unit increase in GI (range 0-30), GDM risk increased by 0.29%. After adjusting for covariates, the linear relationship persisted (χ2 = 4.95, Pnon-linearity = .084) with no significant association (χ2 = 0.08, p = .7775). For GL, a linear relationship was also found (χ2 = 4.17, Pnon-linearity =.1245), but GL was not significantly associated with GDM risk (χ2 = 2.63, p = .1049). The risk of GDM increased by 0.63% per unit increase in GL. After covariate adjustment, a significant association was observed (χ2 = 6.28, p = .0122). CONCLUSION: No significant association between GI and GDM risk was found. After adjusting for covariates, GL shows a significant association with GDM risk. Our findings emphasize the importance of considering dietary GL in managing the risk of GDM. Future research should continue to explore these relationships with standardized diagnostic criteria and robust adjustment for potential confounders.

Serum parameters of inflammatory markers as prognostic biomarkers with maternal-neonatal outcome in patients with GDM.

Objective: Gestational diabetes mellitus (GDM) is one of the most common complications of pregnancy, which is increasing annually. GDM can cause serious harm to both the mother and the offspring. However, the clinical indicators that predict pregnancy outcomes with GDM remain limited. Methods: This study included 3,229 pregnancies. Inflammatory markers were defective in the mother's peripheral blood. Also, the Chi-square test, logistic regression analyses and Spearman rank correlation coefficient were performed to evaluate inflammatory markers with pregnancy outcomes. The association between inflammatory markers and pregnancy outcomes was analyzed. The optimal cut-off values of inflammatory markers were calculated. Results: Finally, 3,229 women were included. 1852 (57.36%) participants suffered good pregnancy outcomes. This study revealed that the maternal age, the baseline BMI (kg/m2), the times of parity, and the level of lymphocyte, SII and SIRI significantly increased in poor pregnancy outcomes groups. Additionally, inflammatory markers, such as white blood cells (WBC), neutrophils, monocytes, platelet counts, lymphocytes, systemic immune-inflammation index (SII) and systemic inflammation response index (SIRI) were related to pregnancy outcomes. Furthermore, the results revealed that the SII level had the highest odd rates (OR) [OR = 6.957; 95% CI (5.715-8.468)], followed by SIRI level [OR = 2.948; 95% CI (2.382-3.649)], the WBC counts [OR = 1.930; 95% CI (0.901-2.960)], the lymphocyte counts [OR = 1.668; 95% CI (1.412-1.970)], and baseline BMI [OR = 1.050; 95% (1.021-1.080)]. Conclusion: This study presented that the baseline SII and SIRI levels can be valuable biochemical markers to predict the pregnancy outcome with GDM with non-invasive procedures. They can help identify high-risk pregnant women with GDM early, provide a personalized intervention in time, and enhance perinatal surveillance.

Obstetric cholestasis and its impact on the maternal outcome.

AIM: To evaluate the association of GDM and pre-eclampsia in women with obstetric cholestasis. MATERIALS AND METHODS: Pregnant women with > 28 weeks gestation attending ANC, OPD and labor room of J.N.M.C.H, AMU, Aligarh UP (India) from 2020 to 2022 were included in the study after taking informed consent and ethical approval from the Institute. Women were divided into 2 groups, i.e. group 1 having 200 women with IHCP and group 2 having 200 healthy pregnant women; both the groups were followed up for the development of GDM and pre-eclampsia. RESULTS: A statistically significant association was observed between IHCP and development of GDM [26.5% and odds ratio (OR) 1.64] and pre-eclampsia (17% and OR: 1.95) (p < 0.05), an also GDM and pre-eclampsia were found to be significantly associated with the severity of cholestasis (p < 0.05). Thus, on calculating OR, we found higher odds of developing GDM and pre-eclampsia in IHCP group with raised serum bile acid levels, maximum at 60 µmol/L level as compared to 10-40 µmol/L (GDM: OR: 8.647 and pre-eclampsia: OR: 6.303). Induction and cesarean rates were significantly higher in IHCP group (p < 0.05). CONCLUSION: Our study concludes significant association of IHCP with GDM and pre-eclampsia as all three shares common pathogenetic pathways and greater risk of development at higher serum bile acid levels.