[Retrospective study of 60 cases of uterine rupture at the Maternity Center of Monastir, Tunisia]. / Etude rétrospective sur 60 cas de rupture utérine du centre de maternité de Monastir, Tunisie.

Uterine rupture is a life-threatening obstetric complication. The purpose of this study was to investigate the epidemiological features, maternal and foetal prognosis and different treatment options for uterine rupture in healthy and scarred uteri. We conducted a retrospective monocentric descriptive and analytical study of 60 cases of uterine rupture collected in the Department of Gynaecology-Obstetrics of the Center of Maternity and Neonatology, Monastir, from 2017 to 2021. Patients were classified according to the presence or absence of a uterine scar. Sixty patients were enrolled in the study. The majority of cases of rupture occurred in patients with scarred uterus (n=55). The most common clinical sign was abnormal foetal heart rate. No maternal deaths were recorded and perinatal mortality rate was 11%. Mean BMI, fetal macrosomia rate and mean parity were significantly higher in the healthy uterus group than in the scarred uterus group (p=0.033, 0.018, and 0.013, respectively). The maternal complications studied (post-partum haemorrhage, hysterectomy, blood transfusion, prolonged hospitalisation) were significantly more frequent in patients with unscarred uterine rupture (p=0.039; p=0.032; p=0.009; p=0.025 respectively). Uterine rupture is a life-threatening obstetrical event for the foetus and the mother. Fetal heart rate abnormality is the most common sign associated with uterine rupture. Management is based on conservative treatment in most cases. Patients with scarred uterus have a better prognosis.

A first trimester prediction model and nomogram for gestational diabetes mellitus based on maternal clinical risk factors in a resource-poor setting.

BACKGROUND: The implementation of universal screening for Gestational Diabetes Mellitus (GDM) is challenged by several factors key amongst which is limited resources, hence the continued reliance on risk factor-based screening. Effective identification of high-risk women early in pregnancy may enable preventive intervention. This study aimed at developing a GDM prediction model based on maternal clinical risk factors that are easily assessable in the first trimester of pregnancy in a population of Nigerian women. METHODS: This was a multi-hospital prospective observational cohort study of 253 consecutively selected pregnant women from which maternal clinical data was collected at 8-12 weeks gestational age. Diagnosis of GDM was made via a one-step 75-gram Oral Glucose Tolerance Test (OGTT) at 24-28 weeks of gestation. A GDM prediction model and nomogram based on selected maternal clinical risk factors was developed using multiple logistic regression analysis, and its performance was assessed by Receiver Operator Curve (ROC) analysis. Data analysis was carried out using Statistical Package for Social Sciences (SPSS) version 25 and Python programming language (version 3.0). RESULTS: Increasing maternal age, higher body mass index (BMI), a family history of diabetes mellitus in first-degree relative and previous history of foetal macrosomia were the major predictors of GDM. The model equation was: LogitP = 6.358 - 0.066 × Age - 0.075 × First trimester BMI - 1.879 × First-degree relative with diabetes mellitus - 0.522 × History of foetal macrosomia. It had an area under the receiver operator characteristic (ROC) curve (AUC) of 0.814 (95% CI: 0.751-0.877; p-value < 0.001), and at a predicted probability threshold of 0.745, it had a sensitivity of 79.2% and specificity of 74.5%. CONCLUSION: This first trimester prediction model reliably identifies women at high risk for GDM development in the first trimester, and the nomogram enhances its practical applicability, contributing to improved clinical outcomes in the study population.

Pre-Pregnancy Obesity and Infants' Motor Development within the First Twelve Months of Life: Who Is Expected to Be the Ultimate Carrier of the Obesity Burden?

INTRODUCTION: Pre-pregnancy obesity is a significant public health concern with profound implications for maternal and child health. The burgeoning evidence suggests that maternal obesity prior to conception is intricately linked with an increased risk of gestational complications, as well as with adverse neonatal outcomes. Furthermore, the long and short-term health of offspring, including the risk of early motor development impairment, obesity, and metabolic syndrome in childhood and adulthood, may be adversely affected as well. Addressing pre-pregnancy obesity is critical for improving overall maternal and child health outcomes, and therefore, the aim of this study was to evaluate the connections linking pre-pregnancy obesity with infants' motor development within the first twelve months of infants' lives. MATERIAL AND METHODS: This study included 200 mother-infant pairs divided into two groups based on their pre-pregnancy body mass index values. To assess infants' early motor development, we used the Alberta Infant Motor Scale (AIMS) and evaluated the parameters of infants' early motor development at the ages of three, six, nine, and twelve months. RESULTS: Pre-pregnancy overweight/obesity was significantly associated with excessive gestational weight gain (p < 0.001), fetal macrosomia (p = 0.022), and a family history of diabetes and cardiovascular diseases (p = 0.048 and p = 0.041, respectively), as well as with all observed parameters of early motor development at the ages of three, six, nine, and twelve months: AIMS 3 months total (p < 0.001), AIMS 6 months total (p < 0.001), AIMS 9 months total (p < 0.001), and AIMS 12 months total (p < 0.001). Furthermore, pre-pregnancy overweight/obesity was a significant predictor for AIMS 6 months total (p = 0.043) and AIMS 6 months supination (p = 0.017). CONCLUSIONS: Pre-pregnancy obesity is a critical determinant of pregnancy outcomes and offspring early motor development, with possible far-reaching implications for children's long-term well-being. Addressing this issue requires a comprehensive approach that includes preconception weight management, targeted interventions during the pregnancy and postpartum periods, and ongoing research to better understand the underlying mechanisms and develop effective strategies for prevention and management.

Spatial pattern analysis of the impact of community food environments on foetal macrosomia, preterm births and low birth weight.

Community food environments (CFEs) have a strong impact on child health and nutrition and this impact is currently negative in many areas. In the Republic of Argentina, there is a lack of research evaluating CFEs regionally and comprehensively by tools based on geographic information systems (GIS). This study aimed to characterize the spatial patterns of CFEs, through variables associated with its three dimensions (political, individual and environmental), and their association with the spatial distribution in urban localities in Argentina. CFEs were assessed in 657 localities with ≥5,000 inhabitants. Data on births and CFEs were obtained from nationally available open-source data and through remote sensing. The spatial distribution and presence of clusters were assessed using hotspot analysis, purely spatial analysis (SaTScan), Moran's Index, semivariograms and spatially restrained multivariate clustering. Clusters of low risk for LBW, macrosomia, and preterm births were observed in the central-east part of the country, while high-risk clusters identified in the North, Centre and South. In the central-eastern region, low-risk clusters were found coinciding with hotspots of public policy coverage, high night-time light, social security coverage and complete secondary education of the household head in areas with low risk for negative outcomes of the birth variables studied, with the opposite with regard to households with unsatisfied basic needs and predominant land use classes in peri-urban areas of crops and herbaceous cover. These results show that the exploration of spatial patterns of CFEs is a necessary preliminary step before developing explanatory models and generating novel findings valuable for decision-making.

Perinatal factors and early neonatal outcomes of abnormal birthweight infants in Hangzhou, China, 2015-2021: a retrospective cohort study.

BACKGROUND: This study aimed to investigate the perinatal factors and early neonatal outcomes of abnormal birth weight (ABW) in Hangzhou, China from 2015 to 2021. METHODS: A retrospective cohort study was designed to analyse the data of 76 847 newborns, in which the case groups included 3042 cases of low birth weight (LBW) and 2941 cases of fetal macrosomia (MAC), and 70 864 cases of normal weight were as the reference group. RESULTS: The incidence of LBW and MAC was 3.96% and 3.83% in Hangzhou, China from 2015 to 2021. Prematurity (<37 weeks), multiple births, hospitalisation >7 days, fetal anomalies, caesarean section, pregnancy complications, maternal coinfection with pathogens and summer births would be correlated with the incidence of LBW (ORs=43.50, 7.60, 2.09, 1.89, 1.57, 1.28, 1.19 and 1.18, all p<0.05). Factors such as post-term pregnancy (>41 weeks), scarred uterus, anterior vaginal incision and gravidity ≥2 were correlated with decreased incidence of LBW, with ORs of 0.05, 0.54, 0.65 and 0.80. Moreover, caesarean delivery, post-term pregnancy (> 41 weeks), parity ≥1, lateral vaginal incision, gravidity ≥2, hospitalisation >7 days, winter births and pregnancy complications also have association with the incidence of MAC (ORs=3.92, 2.73, 2.19, 1.87, 1.22, 1.20, 1.17 and 1.13, all p<0.05) while prematurity (<37 weeks), scarred uterus and anterior vaginal incision have close association with decreased incidence of MAC, with ORs of 0.07, 0.21 and 0.74 (all p<0.05). CONCLUSION: There was a trend of yearly increase in ABW in Hangzhou, China from 2015 to 2021. Several neonatal and maternal-related variables such as caesarean section, pregnancy complications and hospitalisation >7 days are associated with the odds of LBW and MAC, however, factors such as pregnancy with scarred uterus relate to the decrease of ABW. Close monitoring and intervention during pregnancy are essential to reduce the occurrence of ABW.

Association of prepregnancy body mass index and gestational weight gain trajectory with adverse pregnancy outcomes-a prospective cohort study in Shanghai.

OBJECTIVES: The objective was to investigate the associations of maternal prepregnancy body mass index (BMI) and gestational weight gain (GWG) trajectories with adverse pregnancy outcomes (APOs). DESIGN: This was a prospective cohort study. SETTING: This study was conducted in Shanghai Pudong New Area Health Care Hospital for Women and Children, Shanghai, China. PRIMARY AND SECONDARY OUTCOME MEASURES: A cohort study involving a total of 2174 pregnant women was conducted. Each participant was followed to record weekly weight gain and pregnancy outcomes. The Institute of Medicine classification was used to categorise prepregnancy BMI, and four GWG trajectories were identified using a latent class growth model. RESULTS: The adjusted ORs for the risks of large for gestational age (LGA), macrosomia, gestational diabetes mellitus (GDM) and hypertensive disorders of pregnancy (HDP) were significantly greater for women with prepregnancy overweight/obesity (OR=1.77, 2.13, 1.95 and 4.24; 95% CI 1.3 to 2.42, 1.32 to 3.46, 1.43 to 2.66 and 2.01 to 8.93, respectively) and lower for those who were underweight than for those with normal weight (excluding HDP) (OR=0.35, 0.27 and 0.59; 95% CI 0.22 to 0.53, 0.11 to 0.66 and 0.36 to 0.89, respectively). The risk of small for gestational age (SGA) and low birth weight (LBW) was significantly increased in the underweight group (OR=3.11, 2.20; 95% CI 1.63 to 5.92, 1.10 to 4.41; respectively) compared with the normal-weight group; however, the risk did not decrease in the overweight/obese group (p=0.942, 0.697, respectively). GWG was divided into four trajectories, accounting for 16.6%, 41.4%, 31.7% and 10.3% of the participants, respectively. After adjustment for confounding factors, the risk of LGA was 1.54 times greater for women in the slow GWG trajectory group than for those in the extremely slow GWG trajectory group (95% CI 1.07 to 2.21); the risk of SGA and LBW was 0.37 times and 0.46 times lower for women in the moderate GWG trajectory group and 0.14 times and 0.15 times lower for women in the rapid GWG trajectory group, respectively; the risk of macrosomia and LGA was 2.65 times and 2.70 times greater for women in the moderate GWG trajectory group and 3.53 times and 4.36 times greater for women in the rapid GWG trajectory group, respectively; and the women in the other three trajectory groups had a lower risk of GDM than did those in the extremely slow GWG trajectory group, but there was not much variation in the ORs. Notably, different GWG trajectories did not affect the risk of HDP. CONCLUSIONS: As independent risk factors, excessively high and low prepregnancy BMI and GWG can increase the risk of APOs.

Effect of Nutrition and Behavior Modification Program (NBMP) on maternal and neonatal outcomes among hyperglycemic mothers.

OBJECTIVE: Hyperglycemic mothers and their offspring are at increased risk of various maternal and neonatal complications such as macrosomia, future type 2 diabetes, and metabolic abnormalities. Early diagnosis and individualized dietary management, exercise, and emotional well-being are expected to reduce these risks. The study aims to identify the effect of the Nutrition and Behavior Modification Program (NBMP) on maternal and neonatal outcomes of hyperglycemic mothers. PATIENTS AND METHODS: A pre-experimental study was performed among 89 hyperglycemic mothers. Glycemic control at 28 and 36 weeks, weight gain during pregnancy, pre-eclampsia, pregnancy-induced hypertension (PIH), mode of delivery, duration of exercise, emotional well-being, neonates' birth weight, incidence of hypoglycemia, and NICU admission were compared among the study and control groups. The intervention group received an individualized NBMP from their diagnosis of hyperglycemia until delivery. RESULTS: The results showed a significant difference in blood glucose between the study periods and groups at p<0.05 as per repeated ANOVA. Also, diet scores had a significant influence on BMI and glycemic control at p<0.05. Logistic regression models, adjusted for potential confounders including baseline blood glucose, age, economic status, previous GDM, family history of DM as well as baseline BMI, diet score, physical activity, and maternal well-being score, indicated that the NBMP reduced the blood glucose and BMI significantly at p<0.05 in the study group. NBMP also reduced the risk of SGA/LGA and preterm/post-mature birth, as well as increased the exercise duration and emotional well-being of mothers. CONCLUSIONS: The study's conclusions draw attention to the possible roles that maternal wellness, physical activity, and diet may have in reducing risks for both hyperglycemic mothers and their newborns. The NBMP resulted in higher adherence to lifestyle changes. Further research on a larger sample of hyperglycemic mothers is recommended to expand the generalizability of the findings.

Multilevel multinomial regression analysis of factors associated with birth weight in sub-Saharan Africa.

Birth weight significantly determines newborns immediate and future health. Globally, the incidence of both low birth weight (LBW) and macrosomia have increased dramatically including sub-Saharan African (SSA) countries. However, there is limited study on the magnitude and associated factors of birth weight in SSA. Thus, thus study investigated factors associated factors of birth weight in SSA using multilevel multinomial logistic regression analysis. The latest demographic and health survey (DHS) data of 36 sub-Saharan African (SSA) countries was used for this study. A total of a weighted sample of 207,548 live births for whom birth weight data were available were used. Multilevel multinomial logistic regression model was fitted to identify factors associated with birth weight. Variables with p-value < 0.2 in the bivariable analysis were considered for the multivariable analysis. In the multivariable multilevel multinomial logistic regression analysis, the adjusted Relative Risk Ratio (aRRR) with the 95% confidence interval (CI) was reported to declare the statistical significance and strength of association. The prevalence of LBW and macrosomia in SSA were 10.44% (95% CI 10.31%, 10.57%) and 8.33% (95% CI 8.21%, 8.45%), respectively. Maternal education level, household wealth status, age, and the number of pregnancies were among the individual-level variables associated with both LBW and macrosomia in the final multilevel multinomial logistic regression analysis. The community-level factors that had a significant association with both macrosomia and LBW were the place of residence and the sub-Saharan African region. The study found a significant association between LBW and distance to the health facility, while macrosomia had a significant association with parity, marital status, and desired pregnancy. In SSA, macrosomia and LBW were found to be major public health issues. Maternal education, household wealth status, age, place of residence, number of pregnancies, distance to the health facility, and parity were found to be significant factors of LBW and macrosomia in this study. Reducing the double burden (low birth weight and macrosomia) and its related short- and long-term effects, therefore, calls for improving mothers' socioeconomic status and expanding access to and availability of health care.

Maternal Diabetes Mellitus and Neonatal Outcomes in Bisha: A Retrospective Cohort Study.

BACKGROUND: Maternal diabetes mellitus (MDM) is associated with increased risks for adverse neonatal outcomes. However, the impact of MDM on neonatal outcomes in Bisha, a city in Saudi Arabia, is not well documented. This study aims to investigate the impact of MDM on neonatal outcomes in the Maternity and Children's Hospital (MCH), Bisha, Saudi Arabia. METHODS: A retrospective cohort study was conducted on 181 pregnant women with diabetes and their neonates who were diagnosed at the Maternity and Children's Hospital (MCH), Bisha, Saudi Arabia, between 5 October 2020 and 5 November 2022. The primary outcome was a composite of adverse neonatal outcomes, including stillbirth, neonatal death, macrosomia, preterm birth, respiratory distress syndrome, hypoglycemia, and congenital anomalies. Logistic regression analyses were used to adjust for potential confounders. RESULTS: The total sample size was 181. The average age of patients was 34 years (SD = 6.45). The majority of the patients were diagnosed with GDM, 147 (81.2%), and pre-GDM, 34 (18.8%). Neonates born to mothers with MDM had a higher risk of adverse neonatal outcomes compared to those born to mothers without MDM (adjusted odds ratio [aOR] = 1.46, 95% confidence interval [CI]: 1.25-1.70). The risks of macrosomia (aOR = 1.74, 95% CI: 1.38-2.19), LBW (aOR = 1.32, 95% CI: 1.06-1.66), and RDS (aOR = 1.57, 95% CI: 1.28-1.93) were significantly higher among neonates born to mothers with MDM. The types of DM were statistically significant in terms of their correlation with the following neonatal outcomes: hypoglycemia (p-value = 0.017), macrosomia (p-value = 0.050), and neonatal death (p-value = 0.017). CONCLUSIONS: MDM is associated with an increased risk of adverse neonatal outcomes in Bisha. The early identification and management of MDM may improve neonatal outcomes and reduce the burden of neonatal morbidity and mortality in this population.

Association between extrapolated time in range and large for gestational age infants in pregnant women with type 1 diabetes.

AIMS: To evaluate the association between extrapolated time in range (eTIR), measured by self-monitoring of blood glucose (SMBG), and large-for-gestational-age (LGA) infants in pregnancies with type 1 diabetes (T1D). METHODS: Retrospective cohort analysis including singleton pregnancies with T1D who started antenatal care before 20 gestational weeks and delivered live newborns at a Brazilian hospital between 2010 and 2019, with LGA fetuses as the main outcome. Glycemic records acquired using SMBG were categorized as eTIR, extrapolated time below range (eTBR), and extrapolated time above range (eTAR). Women were divided into two groups (LGA and adequate for gestational age [AGA]) and compared regarding clinical characteristics, obstetric outcomes, and frequencies of eTIR, eTBR, and eTAR. Logistic regression analysis verified the independent predictive variables for LGA infants. RESULTS: Data from 125 pregnancies were analyzed. For the first, second and third trimesters, each 1 % increase in eTIR was associated with a decreased risk of LGA by 2.9 % (OR: 0.971; 95%CI: 0.945-0.998), 2.5 % (OR: 0.975; 95%CI: 0.951-0.999) and 2.3 % (OR: 0.977; 95%CI: 0.955-0.998) and each 1 % increase in eTAR was associated with an increased risk of LGA by 2.7 % (OR: 1.027; 95%CI: 1.005-1.050), 3.9 % (OR: 1.039; 95%CI: 1.014-1.063) and 4.6 % (OR: 1.046; 95%CI: 1.018-1.075), respectively. CONCLUSION: The concept of TIR can be extrapolated to patients undergoing SMBG to assess the risk of LGA infants in pregnant women with T1D.

A retrospective cohort study on the influencing factors for macrosomia in singleton pregnancies.

To explore the influencing factors of singletons with macrosomia, and to develop interventions for the prevention of macrosomia. A retrospective cohort study was conducted on 26,379 pregnant women who established the Maternal and Child Health Record and gave birth from January 1, 2019 to December 31, 2019 in a community health service center in Haidian district, Beijing. The study analyzed factors such as maternal age, ethnicity, education level, prepregnancy body mass index (BMI), parity, folic acid supplementation, gestational diabetes mellitus, gestational hyper, hypothyroidism in pregnancy (including subhypothyroidism), hyperthyroidism in pregnancy, and infant gender. Univariate analysis was performed using the χ2 test, and multivariate analysis was performed using non-conditional multivariate logistic regression analysis. Out of 26,379 live births, 5.8% (1522/26,379) were macrosomia and 94.2% (24,857/26,379) were non-macrosomia. Univariate analysis revealed that maternal age, prepregnancy BMI, education level, parity, hypothyroidism during pregnancy, and infant gender were identified as influencing factors for macrosomia (P < .05). Multivariate analysis showed that maternal age ≥ 35 years, education level of high school or below, pre-pregnancy BMI, hypothyroidism, male infant, and parity were all influencing factors for macrosomia (P < .05). Prepregnancy overweight or obesity, male infants, multiparity, and low education level are risk factors for macrosomia. Multiple factors can contribute to macrosomia, and therefore, maternal health care should be strengthened, and early interventions should be taken for the above-mentioned factors in the local area.

Interactive effects and relative contribution of prepregnancy overweight and obesity, excessive gestational weight gain and gestational diabetes mellitus to macrosomia: A retrospective cohort in Fujian, China.

AIM: To conduct a retrospective cohort study to investigate the association between prepregnancy overweight and obesity, excessive gestational weight gain (GWG), gestational diabetes mellitus (GDM) and macrosomia, both individually and in combination. METHODS: Binary logistic regression was used to analyse the effects of overweight and obesity, excessive GWG and GDM on macrosomia, both separately and in combination. The interaction effects between prepregnancy overweight and obesity, excessive GWG and GDM were tested. The population attributable fraction (PAF) was calculated separately when interaction terms were significant. RESULTS: When analysed separately, prepregnancy overweight and obesity, excessive GWG and GDM increased the risk of macrosomia significantly. The pairwise interactions of each pair of risk factors or all three risk factors on macrosomia appear to be greater than any of them individually. Prepregnancy overweight and obesity contributed the least (5.69%) to macrosomia, while GDM contributed the most (8.5%). The PAF values for prepregnancy overweight and obesity/GDM, excessive GWG/GDM, and prepregnancy overweight and obesity/excessive GWG were 13.6%, 16.25% and 14.45%, respectively, and the total PAF for all three risk factors was 22.63%. CONCLUSIONS: Prepregnancy overweight and obesity, excessive GWG and GDM were associated with newborn macrosomia.

Prepregnancy dieting and obstetrical and neonatal outcomes: Findings from a national surveillance project in the United States.

PROBLEM AND BACKGROUND: Women with overweight or obesity are recommended to lose weight before pregnancy. Dieting is one of the most used weight control strategies. However, the health implications of dieting before pregnancy remain unclear. AIM: To evaluate the associations of dieting during the year before pregnancy with obstetrical and neonatal outcomes, including gestational weight gain (GWG), gestational diabetes, low birthweight, macrosomia, small-for-gestational-age infants (SGA), large-for-gestational-age infants (LGA), and preterm birth. METHODS: This study analyzed data from the Pregnancy Risk Assessment Monitoring System (PRAMS), which is a surveillance project in the United States that collects data on maternal health before, during, and after pregnancy. Women who participated in PRAMS phase 7 with a prepregnancy body mass index ≥25 kg/m2 and a singleton birth were eligible. Statistical analyses included logistic regressions and post-hoc mediation analysis (Sobel Test). FINDINGS: A total number of 51,399 women were included in the analysis. Women who self-reported prepregnancy dieting (42.8 %) had lower odds of SGA (adjusted odds ratio [aOR]: 0.87; 95 % CI: 0.79-0.97), and higher odds of excessive GWG vs adequate GWG (aOR: 1.42; 95 % CI: 1.32-1.52), gestational diabetes (aOR: 1.12; 95 % CI: 1.02-1.22), and LGA (aOR: 1.18; 95 % CI: 1.08-1.28). Furthermore, the association between prepregnancy dieting and LGA was mediated by excessive GWG (Sobel Test z-value = 5.72, p < 0.01). DISCUSSION AND CONCLUSION: This analysis revealed that prepregnancy dieting was associated with several adverse consequences, including excessive GWG, gestational diabetes, and LGA infants. Findings contribute to an improved understanding of the perinatal implications of prepregnancy dieting.

The effect of gestational diabetes mellitus on pregnancy outcomes in advanced primiparous women: A retrospective study.

Gestational diabetes mellitus (GDM) could have a variable degree of adverse effects on pregnancy outcomes for both pregnant women and newborns. The purpose of the study was to explore the effect of GDM on pregnancy outcomes in advanced primiparous women. A total of 1076 advanced primiparous women were included between January 2020 and December 2022. All these women were divided into the GDM group (n = 434) and the non-GDM group (n = 642). Variables included baseline characteristics, maternal, and newborn outcomes were collected. The risk of each adverse outcome was analyzed by multivariate logistic regression models. The effect of blood glucose control on pregnancy outcomes was further analyzed among GDM women with good glycaemic control (n = 381) and poor glycaemic control (n = 53). Analysis of baseline characteristics demonstrated a significant difference in prepregnancy body mass index (median, IQR: 22.27 [20.58-24.44] vs 21.17 [19.53-22.86], P < .01) between the GDM group and the non-GDM group. A significantly higher incidence rate of adverse pregnancy outcomes was found in advanced primiparous women with GDM, such as polyhydramniosis, premature birth, low-birth weight, macrosomia, and neonatal intensive care unit admission (all P < .05). Compared with the non-GDM group, the risk of polyhydramniosis was nearly twice as high in the GDM group (adjusted odds ratio: 1.94, 95% confidence interval: 1.01-3.72, P = .04) after adjusted baseline characteristics. Among the GDM group, the women with poor glycaemic control showed a significantly higher incidence rate of polyhydramnios, hypertensive disorders of pregnancy, cesarean delivery, premature birth, low-birth weight, macrosomia, and neonatal intensive care unit admission was significant than the women with good glycaemic control (all P < .05). GDM was an independent risk factor for polyhydramnios in advanced primiparous women. At the same time, good glycaemic control in diabetics advanced primiparous women could reduce adverse pregnancy outcomes.

One-step vs 2-step gestational diabetes mellitus screening and pregnancy outcomes: an updated systematic review and meta-analysis.

OBJECTIVE: This was a systematic review and meta-analysis comparing maternal and neonatal outcomes of patients screened with the 1-step or 2-step screening method for gestational diabetes mellitus. DATA SOURCES: PubMed, Scopus, Cochrane, ClinicalTrials.gov, and LILACS were searched from inception up to September 2022. STUDY ELIGIBILITY CRITERIA: Only randomized controlled trials were included. Studies that had overlapping populations were excluded (International Prospective Register of Systematic Review registration number: CRD42022358903). METHODS: Risk ratios were computed with 95% confidence intervals by 2 authors. Unpublished data were requested. Large for gestational age was the primary outcome. RESULTS: The search yielded 394 citations. Moreover, 7 randomized controlled trials met the inclusion criteria. A total of 54,650 participants were screened for gestational diabetes mellitus by either the 1-step screening method (n=27,163) or the 2-step screening method (n=27,487). For large for gestational age, there was no significant difference found between the groups (risk ratio, 0.99; 95% confidence interval, 0.93-1.05; I2=0%). Newborns of patients who underwent 1-step screening had higher rates of neonatal hypoglycemia (risk ratio, 1.24; 95% confidence interval, 1.14-1.34; I2=0%) and neonatal intensive care unit admissions (risk ratio, 1.13; 95% confidence interval, 1.04-1.21; I2=0%) than newborns of patients who underwent 2-step screening. Patients in the 1-step screening method group were more likely to be diagnosed with gestational diabetes mellitus (risk ratio, 1.73; 95% confidence interval, 1.44-2.09; I2=80%) than patients in the 2-step screening method group. In addition, among trials that tested all patients before randomization and excluded patients with pregestational diabetes mellitus, newborns were more likely to have macrosomia (risk ratio, 1.27; 95% confidence interval, 1.21-1.34; I2=0%). Overall risk of bias assessment was of low concern. CONCLUSION: Large for gestational age did not differ between patients screened using the 1-step screening method and those screened using the 2-step screening method. However, patients randomized to the 1-step screening method had higher rates of neonatal hypoglycemia and neonatal intensive care unit admission and maternal gestational diabetes mellitus diagnosis than the patients randomized to the 2-step screening method.

Neonatal Birthweight Spectrum: Maternal Risk Factors and Pregnancy Outcomes in Saudi Arabia.

Background and Objectives: Low-birth-weight (LBW) neonates are at increased risk of morbidity and mortality which are inversely proportional to birth weight, while macrosomic babies are at risk of birth injuries and other related complications. Many maternal risk factors were associated with the extremes of birthweight. The objectives of this study are to investigate maternal risk factors for low and high birthweight and to report on the neonatal complications associated with abnormal birth weights. Materials and Methods: We conducted a retrospective analysis of medical records of deliveries ≥ 23 weeks. We classified the included participants according to birth weight into normal birth weight (NBW), LBW, very LBW (VLBW), and macrosomia. The following maternal risk factors were included, mother's age, parity, maternal body mass index (BMI), maternal diabetes, and hypertension. The neonatal outcomes were APGAR scores < 7, admission to neonatal intensive care unit (NICU), respiratory distress (RD), and hyperbilirubinemia. Data were analyzed using SAS Studio, multivariable logistic regression analyses were used to investigate the independent effect of maternal risk factors on birthweight categories and results were reported as an adjusted odds ratio (aOR) and 95% Confidence Interval (CI). Results: A total of 1855 were included in the study. There were 1638 neonates (88.3%) with NBW, 153 (8.2%) with LBW, 27 (1.5%) with VLBW, and 37 (2.0%) with macrosomia. LBW was associated with maternal hypertension (aOR = 3.5, 95% CI = 1.62-7.63), while increasing gestational age was less likely associated with LBW (aOR = 0.51, 95% CI = 0.46-0.57). Macrosomia was associated with maternal diabetes (aOR = 3.75, 95% CI = 1.67-8.41), in addition to maternal obesity (aOR = 3.18, 95% CI = 1.24-8.14). The odds of VLBW were reduced significantly with increasing gestational age (aOR = 0.41, 95% CI = 0.32-0.53). In total, 81.5% of VLBW neonates were admitted to the NICU, compared to 47.7% of LBW and 21.6% of those with macrosomia. RD was diagnosed in 59.3% of VLBW neonates, in 23% of LBW, in 2.7% of macrosomic and in 3% of normal-weight neonates. Hyperbilirubinemia was reported in 37.04%, 34.21%, 22.26%, and 18.92% of VLBW, LBW, NBW, and macrosomic newborns, respectively. Conclusions: Most neonates in this study had normal birthweights. Maternal hypertension and lower gestational age were associated with increased risk of LBW. Additionally, maternal obesity and diabetes increased the risk of macrosomia. Neonatal complications were predominantly concentrated in the LBW and VLBW, with a rising gradient as birthweight decreased. The main complications included respiratory distress and NICU admissions.

Relationship between serum NLRP3 along with its effector molecules and pregnancy outcomes in women with hyperglycemia.

OBJECTIVE: The study aims to investigate the levels of serum NLRP3 along with its effector molecules (Caspase-1, IL-1ß, and IL-18) in the mid-pregnancy in pregnant women with hyperglycemia, and explore the relationship between NLRP3, along with its effector molecules (Caspase-1, IL-1ß, and IL-18) and insulin resistance, as well as pregnancy outcomes. METHODS: The levels of serum NLRP3 along with its effector molecules (Caspase-1, IL-1ß, and IL-18) in three groups of pregnant women with gestational diabetes mellitus (GDM), pregestational diabetes mellitus (PGDM) and normal glucose tolerance (NGT) were measured in mid-pregnancy, and their relationship with insulin resistance and pregnancy outcomes was analyzed. The ROC curve was also used to evaluate the predictive value of serum NLRP3 inflammasome and its effector molecules for pregnancy outcomes. RESULTS: There were no statistical differences in the general clinical data of the three groups, and the concentrations of serum NLRP3 along with its effector molecules were higher in the GDM and PGDM groups than in the NGT group, and NLRP3 along with its effector molecules were positively correlated with fasting blood glucose, fasting insulin, and insulin resistance index in both groups (r > 0, p < .05). The incidence of preterm delivery, hypertensive disorders of pregnancy, premature rupture of membranes, neonatal hypoglycemia and macrosomia was significantly higher in both groups than in the NGT group (p < .05). The value of the combined serum NLRP3 and its effector molecules in mid-pregnancy to predict adverse pregnancy outcomes was highest, and the AUCs for the combined prediction of late hypertensive disorders of pregnancy, premature rupture of membranes, preterm delivery, neonatal hypoglycemia and macrosomia were 0.84 (95% CI 0.79-0.88, p < .001), 0.81 (95% CI 0.75-0.85, p < .001), 0.76 (95% CI 0.70-0.81, p < .001), 0.76 (95% CI 0.70-0.81, p < .001) and 0.72 (95% CI 0.63-0.81, p < .001), respectively. CONCLUSIONS: Increased serum NLRP3 along with its effector molecules in pregnant women with hyperglycemia are associated with the levels of insulin resistance and the subsequent development of adverse pregnancy outcomes.

Association between prepregnancy body mass index or gestational weight gain and adverse pregnancy outcomes among Chinese women with gestational diabetes mellitus: a systematic review and meta-analysis.

OBJECTIVE: The association between prepregnancy body mass index (BMI) or gestational weight gain (GWG) and adverse pregnancy outcomes among Chinese women with gestational diabetes mellitus (GDM) is unknown. This study aims to evaluate such association by synthesising the evidence. DESIGN: Systematic review and meta-analysis. DATA SOURCES: PubMed, Web of Science, Scopus, EMBASE, China Biology Medicine disc, China National Knowledge Infrastructure, Wangfang, and China Science and Technology Journal Database searched from inception to 11 August 2023. ELIGIBILITY CRITERIA: Prospective cohort studies, retrospective cohort studies and case-control studies estimating the relationship of abnormal prepregnancy BMI (including underweight, overweight or obesity) or inappropriate GWG (including excess GWG or insufficient GWG) with adverse pregnancy outcomes of interest were included. Outcomes included macrosomia, caesarean section, preterm birth, gestational hypertension, large for gestational age (LGA) and small for gestational age (SGA). DATA EXTRACTION AND SYNTHESIS: Two reviewers independently selected studies, extracted the data and assessed the risk of bias. OR estimate and its 95% CI were pooled using Stata software fixed-effect model. Subgroup analysis, meta-regression and sensitivity analysis were performed to ensure credibility of the results. RESULTS: Twenty-three studies (eighteen retrospective cohort studies, three prospective cohort studies and two case control studies) involving 57 013 Chinese women with GDM were identified. Meta-analysis results showed that compared with GDM women with normal weight, GDM women with underweight were at a higher risk of SGA (OR=1.79 (1.54 to 2.07), five studies involving 31 967 women); women with overweight had higher risks of macrosomia (OR=1.65 (1.49 to 1.82), eleven studies involving 41 683 women), caesarean section (OR=1.48 (1.38 to 1.59), ten studies involving 34 935 women), preterm birth (OR=1.27 (1.13 to 1.43), eight studies involving 38 295 women) and LGA (OR=1.73 (1.54 to 1.95), seven studies involving 31 342 women) and women with obesity had higher risks of macrosomia (OR=2.37 (2.04 to 2.76), eleven studies involving 41 683 women), caesarean section (OR=2.07 (1.84 to 2.32), nine studies involving 34 829 women), preterm birth (OR=1.31 (1.09 to 1.57), eight studies involving 38 295 women) and LGA (OR=2.63 (2.15 to 3.21), six studies involving 31 236 women). Regard to GWG, compared with Chinese GDM women with sufficient GWG, GDM women with excessive GWG had higher risks of macrosomia (OR=1.74 (1.58 to 1.92), twelve studies involving 40 966 women), caesarean section (OR=1.44 (1.36 to 1.53), nine studies involving 36 205 women) and LGA (OR=2.12 (1.96 to 2.29), twelve studies involving 42 342 women); women with insufficient GWG conversely had higher risks of preterm birth (OR=1.59 (1.45 to 1.74), nine studies involving 37 461 women) and SGA (OR=1.38 (1.27 to 1.51), ten studies involving 41 080 women). CONCLUSIONS: For Chinese women with GDM, abnormal prepregnancy BMI or inappropriate GWG were related to higher risks of many adverse pregnancy outcomes. Therefore, medical staff should pay more attention to the weight management of GDM women during pregnancy.

Identifying gestational diabetes mellitus and assessing risk factors in affected women: a comprehensive study.

OBJECTIVE: Gestational diabetes mellitus (GDM) is a prevalent pregnancy complication associated with adverse health outcomes for both mothers and offspring. This study aimed to identify risk factors for GDM, a condition with a rapidly increasing global prevalence. PATIENTS AND METHODS: We conducted a study involving 474 pregnant women who attended the obstetrics outpatient clinic of Kafkas University Faculty of Medicine Hospital between January 2022 and June 2023. Risk factors for GDM were assessed based on criteria recommended by the American Diabetes Association and the Committee on Practice of the American College of Obstetricians and Gynecologists. Statistical analyses, including descriptive statistics, Chi-square tests, Mann-Whitney U tests, and multivariate logistic regression. RESULTS: Individuals with GDM (mean age: 31.26±6.09 years) were significantly older than those without GDM (mean age: 28.36±4.89 years; p<0.001). Obesity prevalence was higher in the GDM group (32.5%) compared to the non-GDM group (14.3%; p<0.001). Individuals with GDM had higher rates of pre-diabetes (3.3% vs. 0.3%; p=0.007), a history of gestational diabetes (25.2% vs. 5.7%; p<0.001), high blood sugar in previous pregnancies (13.8% vs. 1.4%; p<0.001), and diabetes mellitus in 1st-degree relatives (40.7% vs. 20.3%; p<0.001). GDM was associated with increased pregnancies (p<0.001), preterm births (p<0.001), macrosomic babies (p=0.026), congenital anomalies (p=0.011), high cholesterol (p=0.036), and polyhydramnios (p=0.001) in previous pregnancies, as well as polyhydramnios in the index pregnancy (p=0.008). Regular exercise in previous pregnancies differed significantly based on GDM presence (p=0.037). CONCLUSIONS: Recognizing modifiable risk factors is crucial for preventing GDM and reducing associated health risks. Healthcare providers should be vigilant, especially among those with a family history of GDM, previous GDM, advanced maternal age, and other risk factors. Early lifestyle interventions show promise. Further research is needed for accurate GDM prediction.

Risk of adverse pregnancy outcomes in pregnant women with gestational diabetes mellitus by age: a multicentric cohort study in Hebei, China.

Gestational diabetes mellitus (GDM) is an unique metabolic disorder that occurs during pregnancy. Both GDM and advanced age increase the risk of adverse pregnancy outcomes. This study used a GDM cohort study to investigate the role of age in the adverse pregnancy outcomes for pregnant women with GDM. From 2015 to 2021, 308,175 pregnant women were selected, and the data received from 22 hospitals by the Hebei Province Maternal Near Miss Surveillance System. There were 24,551 pregnant women with GDM that were divided into five groups by age (20-24, 25-29, 30-34, 35-39, 40-44 years old). Because the prevalence of adverse pregnancy outcomes was lower in pregnant women with GDM aged 25-29, they were used as a reference group (P < 0.05). Compared with GDM women aged 25-29 years, GDM women aged 35-44 years had a significant higher risk of cesarean delivery (aOR: 2.86, 95% CI 2.52-3.25) (P < 0.001), abnormal fetal position (aOR: 1.78, 95% CI 1.31-2.37) (P < 0.001), pre-eclampsia (aOR: 1.28, 95% CI 1.01-1.61) (P < 0.05), macrosomia (aOR: 1.25, 95% CI 1.08-1.45) (P < 0.05), and large for gestational age (LGA) (aOR: 1.16, 95% CI 1.02-1.31) (P < 0.05), GDM women aged 40-44 years had a higher risk of placenta previa (aOR: 2.53, 95% CI 1.01-6.35) (P < 0.05), anemia (aOR: 3.45, 95% CI 1.23-9.68) (P < 0.05) and small for gestational age (aOR: 1.32, 95% CI 1.01-1.60) (P < 0.05). Advanced maternal age was an independent risk factor for abnormal fetal position, pre-eclampsia, anemia, macrosomia, and LGA in pregnant women with GDM.