Complications fœtales et néonatales du diagnostic gestationnel : mortalité périnatale, malformations congénitales, macrosomie, dystocie des épaules, traumatisme obstétrical, complications néonatales

Development of risk prediction nomogram for neonatal sepsis in Group B Streptococcus-colonized mothers: a retrospective study

Neonatal clinical sepsis is recognized as a significant health problem, This study sought to identify a predictive model of risk factors for clinical neonatal sepsis. A retrospective study was conducted from 1 October 2018 to 31 March 2023 in a large tertiary hospital in China. Neonates were divided into patients and controls based on the occurrence of neonatal sepsis. A multivariable model was used to determine risk factors and construct models.The utilization and assessment of model presentation were conducted using Norman charts and web calculators, with a focus on model differentiation, calibration, and clinical applicability (DCA). Furthermore, the hospital's data from 1 April 2023 to 1 January 2024 was utilized for internal validation. In the modelling dataset, a total of 339 pairs of mothers and their newborns were included in the study and divided into two groups: patients (n = 84, 24.78%) and controls (n = 255, 75.22%). Logistic regression analysis was performed to examine the relationship between various factors and outcome. The results showed that maternal age < 26 years (odds ratio [OR] = 2.16, 95% confidence interval [CI] 1.06-4.42, p = 0.034), maternal gestational diabetes (OR = 2.17, 95% CI 1.11-4.27, p = 0.024), forceps assisted delivery (OR = 3.76, 95% CI 1.72-5.21, p = 0.032), umbilical cord winding (OR = 1.75, 95% CI 1.32-2.67, p = 0.041) and male neonatal sex (OR = 1.59, 95% CI 1.00-2.62, p = 0.050) were identified as independent factors influencing the outcome of neonatal clinical sepsis. A main effects model was developed incorporating these five significant factors, resulting in an area under the curve (AUC) value of 0.713 (95% CI 0.635-0.773) for predicting the occurrence of neonatal clinical sepsis. In the internal validation cohort, the AUC value of the model was 0.711, with a 95% CI of 0.592-0.808. A main effects model incorporating the five significant factors was constructed to help healthcare professionals make informed decisions and improve clinical outcomes.

Maternal interventions to decrease stillbirths and neonatal mortality in Tanzania: evidence from the 2017-18 cross-sectional Tanzania verbal and social autopsy study

BACKGROUND

Reduction of Tanzania's neonatal mortality rate has lagged behind that for all under-fives, and perinatal mortality has remained stagnant over the past two decades. We conducted a national verbal and social autopsy (VASA) study to estimate the causes and social determinants of stillbirths and neonatal deaths with the aim of identifying relevant health care and social interventions.

METHODS

A VASA interview was conducted of all stillbirths and neonatal deaths in the prior 5 years identified by the 2015-16 Tanzania Demographic and Health Survey. We evaluated associations of maternal complications with antepartum and intrapartum stillbirth and leading causes of neonatal death; conducted descriptive analyses of antenatal (ANC) and delivery care and mothers' careseeking for complications; and developed logistic regression models to examine factors associated with delivery place and mode.

RESULTS

There were 204 stillbirths, with 185 able to be classified as antepartum (88 [47.5%]) or intrapartum (97 [52.5%]), and 228 neonatal deaths. Women with an intrapartum stillbirth were 6.5% (adjusted odds ratio (aOR) = 1.065, 95% confidence interval (CI) 1.002, 1.132) more likely to have a C-section for every additional hour before delivery after reaching the birth attendant. Antepartum hemorrhage (APH), maternal anemia, and premature rupture of membranes (PROM) were significantly positively associated with early neonatal mortality due to preterm delivery, intrapartum-related events and serious infection, respectively. While half to two-thirds of mothers made four or more ANC visits (ANC4+), a third or fewer received quality ANC (Q-ANC). Women with a complication were more likely to deliver at hospital only if they received Q-ANC (neonates: aOR = 4.5, 95% CI 1.6, 12.3) or ANC4+ (stillbirths: aOR = 11.8, 95% CI 3.6, 38.0). Nevertheless, urban residence was the strongest predictor of hospital delivery.

CONCLUSIONS

While Q-ANC and ANC4 + boosted hospital delivery among women with a complication, attendance was low and the quality of care is critical. Quality improvement efforts in urban and rural areas should focus on early detection and management of APH, maternal anemia, PROM, and prolonged labor, and on newborn resuscitation.

Diabetic Uterine Environment Leads to Disorders in Metabolism of Offspring

Aims

Research evidence indicates that epigenetic modifications of gametes in obese or diabetic parents may contribute to metabolic disorders in offspring. In the present study, we sought to address the effect of diabetic uterine environment on the offspring metabolism.

Methods

Type 2 diabetes mouse model was induced by high-fat diet combined with streptozotocin (STZ) administration. We maintained other effect factors constant and changed uterine environment by zygote transfers, and then determined and compared the offspring numbers, symptoms, body weight trajectories, and metabolism indices from different groups.

Result

We found that maternal type 2 diabetes mice had lower fertility and a higher dystocia rate, accompanying the increased risk of offspring malformations and death. Compared to only a pre-gestational exposure to hyperglycemia, exposure to hyperglycemia both pre- and during pregnancy resulted in offspring growth restriction and impaired metabolism in adulthood. But there was no significant difference between a pre-gestational exposure group and a no exposure group. The deleterious effects, no matter bodyweight or glucose tolerance, could be rescued by transferring the embryos from diabetic mothers into normal uterine environment.

Conclusion

Our data demonstrate that uterine environment of maternal diabetes makes critical impact on the offspring health.

Gestational diabetes mellitus prediction model: A risk factors analysis of pregnant women with gestational diabetes mellitus but have normal oral glucose tolerance test results in the second trimester of pregnancy

BACKGROUND:

Oral glucose tolerance test (OGTT) is a standard for the diagnosis of gestational diabetes mellitus (GDM). However, clinically, some cases with normal results were diagnosed as GDM in the third trimester.

OBJECTIVE:

To establish a risk model based on energy metabolism, epidemiology, and biochemistry that could predict the GDM pregnant women with normal OGTT results in the second trimester.

METHODS:

Qualitative and quantitative data were analyzed to find out the risk factors, and the binary logistic backward LR regression was used to establish the prediction model of each factor and comprehensive factor, respectively.

RESULTS:

The risk factors including the rest energy expenditure per kilogram of body weight, oxygen consumption per kilogram of body weight, if more than the weight gain criteria of the Institute of Medicine, the increase of body mass index between the second trimester and pre-pregnancy, and fasting blood glucose. By comparison, the comprehensive model had the best prediction performance, indicating that 85% of high-risk individuals were correctly classified.

CONCLUSION:

Energy metabolism, epidemiology, and biochemistry had better recognition ability for the GDM pregnant women with normal OGTT results in the second trimester. The addition of metabolic factors in the second trimester also improved the overall prediction performance.

Gestational diabetes mellitus in association with macrosomia in Iran: a meta-analysis

Purpose

This meta-analysis aimed to estimate the association between gestational diabetes mellitus (GDM) and occurrence of macrosomia for the first time among Iranian population.

Methods

A systematic review was done of national and international databases. Lists of relevant articles were checked to increase sensitivity of the search reference. Also, access to unpublished articles and documents were accessed by negotiation with related individuals and research centers. These published epidemiological studies (cross-sectional, case-control and cohort studies) were used for comparisons to determine whether GDM was associated with macrosomia. Finally, the Mantel-Haenszel method and the fixed and random-effect models based on heterogeneity of the primary studies were used according to pool results and estimate the odds ratio of macrosomia in women with GDM.

Results

Of 1870 articles, thirty relevant articles were eligible for the current meta-analysis. Our findings showed that 335 of 2524 women with GDM had macrosomia while only 775 of 26,592 women without GDM had macrosomia. Using random-effect model, the pooled odds ratio (OR) relation between GDM and occurrence of macrosomia was estimated as of 5.49 (95% CI: 4.27-7.04). Subgroup analysis showed no difference regarding different study designs and definitions of macrosomia. There was no evidence of publication bias based on the result of Egger's test (β = 0.1, P = 0.70).

Conclusions

This meta-analysis shows that GDM is directly associated with the risk of macrosomia in the Iranian population. This confirms the findings of previous studies in the wider scientific literature.

The trends and risk factors to predict adverse outcomes in gestational diabetes mellitus: a 10-year experience from 2006 to 2015 in a single tertiary center

Objective

To investigate the change of maternal characteristics, delivery and neonatal outcomes in gestational diabetes mellitus (GDM) over recent 10 years and to identify the risk factors associated with adverse outcome.

Methods

Consecutive GDM patients (n=947) delivered in our institution were included. Research period was arbitrarily divided into 2 periods (period 1: from 2006 to 2010, period 2: from 2011 to 2015). Multiple pregnancies or preexisting diabetes were excluded. Maternal baseline characteristics, delivery and neonatal outcomes were reviewed. Fetal biometric findings by prenatal ultrasonography were collected. Adverse pregnancy outcome (APO) was defined by the presence of one of the followings; shoulder dystocia, neonatal macrosomia (>4 kg), neonatal hypoglycemia (<35 mg/dL), respiratory distress syndrome (RDS), and admission to the neonatal intensive care unit (NICU) in term pregnancy.

Results

Period 2 was associated with older maternal age (34 vs. 33, P<0.001) and higher proportion of GDM A2 compared to period 1 (30.9% vs. 23.0%, P=0.009). By univariate analysis, APO was associated with increased body mass index (BMI) at pre-pregnancy (23.4 kg/m² vs. 21.8 kg/m², P=0.001) or delivery (27.9 kg/m² vs. 25.8 kg/m², P<0.001), higher HbA1c at diagnosis (5.6% vs. 5.3%, P<0.001) or delivery (5.8% vs. 5.5%, P=0.044), and larger fetal biometric findings (abdominal circumference [AC] and estimated fetal weight, P=0.029 and P=0.007, respectively). Multivariate analysis showed pre-pregnancy BMI (odds ratio [OR], 1.101; 90% confidence interval [CI], 1.028–1.180) and fetal AC (OR, 1.218; 90% CI, 1.012–1.466) were independently associated with adverse outcomes.

Conclusion

Our study demonstrated the trends and relevant factors associated with the adverse outcomes.

Is gestational diabetes an independent risk factor of neonatal severe respiratory distress syndrome after 34 weeks of gestation? A prospective study

PURPOSE

To evaluate if neonates delivered after 34^0/7 weeks from mothers diagnosed with gestational diabetes (GD) are exposed to an increased risk of neonatal severe respiratory distress syndrome (SRDS).

METHODS

Women with singleton pregnancy in labour after 34^0/7 weeks of gestation or admitted for planned caesarean section and who had been systematically screened for GD were eligible to participate to this prospective cohort study. Diagnosis of SRDS was defined by the association of clinical signs of early neonatal respiratory distress, with consistent radiologic features and requiring mechanical ventilation with a fraction of inspired oxygen (FiO₂) >0.25 for a minimum of 24 h and admission to neonatal intensive care unit.

RESULTS

A total of 444 women were included. GD was diagnosed in 60 patients (13.5%). A neonatal SRDS was diagnosed in 32 cases (7.2%). Compared to others, neonatal SRDS was significantly more often observed in neonates from women diagnosed with GD: 12 (20%) vs. 20 (5.2%), respectively (p < 0.001). Women whose neonates presented neonatal SRDS were significantly more likely to be obese (p = 0.002), to have undergone a caesarean section (p < 0.001) and to have received corticosteroids therapy before 34^0/7 weeks (p = 0.013). In multivariate analysis, GD was identified as an independent risk factor of neonatal SRDS (aOR 3.6; 95% CI 1.5-8.6; p = 0.005). Other risk factors were maternal obesity (aOR 2.8; 95% CI 1.1-7.1; p = 0.029) and assisted vaginal delivery (aOR 5.5; 95% CI 1.9-15.9; p = 0.002).

CONCLUSIONS

GD is an independent risk factor of neonatal SRDS after 34^0/7 weeks.

Maternal nutrition: opportunities in the prevention of gestational diabetes

Gestational diabetes mellitus (GDM) is currently defined as glucose intolerance that is of variable severity with onset or first recognition during pregnancy. The Hyperglycemia and Adverse Pregnancy Outcome Study, including 25 000 nondiabetic pregnant women in 15 centers across the world, reported that an average of 17.8% of pregnancies are affected by GDM and its frequency can be as high as 25.5% in some countries, based on the International Association of Diabetes and Pregnancy Study Groups criteria. Nevertheless, true global prevalence estimates of GDM are currently lacking due to the high level of heterogeneity in screening approaches, diagnostic criteria, and differences in the characteristics of the populations that were studied. The presence of systemic high blood glucose levels in pregnancy results in an adverse intrauterine environment, which has been shown to have a negative impact on short- and long-term health outcomes for both the mother and her offspring, including increased risks for the infant to develop obesity and for both mother and child to develop type 2 diabetes mellitus later in life. Epigenetic mechanisms that are directly influenced by environmental factors, including nutrition, may play a key role in shaping these future health risks and may be part of this vicious cycle. This article reviews the burden of GDM and the current evidence that supports maternal nutritional interventions as a promising strategy to break the cycle by addressing risk factors associated with GDM.

Maternal Obesity and its Short- and Long-Term Maternal and Infantile Effects

Obesity, in childhood or in adulthood, remains to be a global health problem. The worldwide prevalence of obesity has increased in the last few decades, and consequently, the women of our time suffer more gestational problems than women in the past. The prevalence of obesity is greater in older women than in younger ones and in women with low educational level than in their counterparts with a higher level of education. Maternal obesity during pregnancy may increase congenital malformations and neonatal morbidity and mortality. Maternal obesity is associated with a decreased intention to breastfeed, decreased initiation of breastfeeding, and decreased duration of breastfeeding. We discuss the current epidemiological evidence for the association of maternal obesity with congenital structural neural tube and cardiac defects, fetal macrosomia that predisposes infants to birth injuries and to problems with physiological and metabolic transition, as well as potential for long-term complications secondary to prenatal and neonatal programming effects compounded by a reduction in sustained breastfeeding.

Investigating the effects of treatment based on single high blood glucose in gestational diabetes screening on maternal and neonatal complications

PURPOSE

To create a positive step toward achieving an efficient method for gestational diabetes treatment, the present study was carried out to compare the treatment outcomes based on single impaired blood glucose versus regular method in health care centers in Iran.

METHODS

This randomized clinical trial was carried out in Tehran/Iran between March 2012 and August 2013. Study sample consisted of mothers whose fasting blood sugar was disturbed or a disturbed blood sugar was seen in OGTT with 75 g glucose load, according to ADA standards. For each outcome, multiple logistic regressions were used to control for the effects of potential confounders. When a confounder was measured on a continuous scale (e.g., age), LOWESS (locally weighted scatter plot smoothing) algorithm was used to determine whether the effect of that variable was linear. We also used the fractional polynomial regression to determine the optimal transformation of continuous covariates.

RESULTS

The information of 189 pregnant women was used in this study; 87 in the interventional group (46 %) and 102 in the control group (54 %). Treatment based on the new protocol has very high protective effect (OR 0.25, 95 % CI 0.68-0.88) in terms of neonatal hyperbilirubinemia. This difference was not seen in other outcomes including stillbirth, macrosomic newborn delivery, hypoglycemia, and hypocalcemia. The risk of neonatal hypoglycemia reduced after the 25th week of gestation (OR 0.39, 95 % CI 0.15-0.98).

CONCLUSIONS

Although the treatment of mild gestational diabetes could not significantly decrease severe neonatal outcomes, it did significantly reduce the risk of hyperbilirubinemia and its subsequent complications.

Is gestational diabetes mellitus an independent risk factor for macrosomia: a meta-analysis?

PURPOSE

The aim of our meta-analysis was to explore whether gestational diabetes mellitus (GDM) is an independent risk factor for macrosomia or not.

METHODS

Three databases were systematically reviewed and reference lists of relevant articles were checked. Meta-analysis of published epidemiological studies (cohort and case-control studies) comparing whether GDM was associated with macrosomia. Calculations of pooled estimates were conducted in random-effect models. Heterogeneity was tested by using Chi square test and I (2) statistics. Publication bias was estimated from Egger's test (linear regression method) and Begg's test (rank correlation method).

RESULTS

Twelve studies met the inclusion criteria, including five cohort studies and seven case-control studies. The meta-analysis showed that GDM was associated with macrosomia independent of other risk factors. The adjusted odds ratio was 1.71, 95% CI (1.52, 1.94) in random-effect model, stratified analyses showed no differences regarding different study design, quality grade, definition of macrosomia, location of study and number of confounding factors adjusted for. There was no indication of a publication bias either from the result of Egger's test or Begg's test.

CONCLUSION

Our findings indicate that GDM should be considered as an independent risk factor for newborn macrosomia. To adequately evaluate the clinical evolution of GDM need to be carefully assessed and monitored.

High glucose levels reduce fatty acid oxidation and increase triglyceride accumulation in human placenta

Placentas of women with gestational diabetes mellitus (GDM) exhibit an altered lipid metabolism. The mechanism by which GDM is linked to alterations in placental lipid metabolism remains obscure. We hypothesized that high glucose levels reduce mitochondrial fatty acid oxidation (FAO) and increase triglyceride accumulation in human placenta. To test this hypothesis, we measured FAO, fatty acid esterification, de novo fatty acid synthesis, triglyceride levels, and carnitine palmitoyltransferase activities (CPT) in placental explants of women with GDM or no pregnancy complication. In women with GDM, FAO was reduced by ~30% without change in mitochondrial content, and triglyceride content was threefold higher than in the control group. Likewise, in placental explants of women with no complications, high glucose levels reduced FAO by ~20%, and esterification increased linearly with increasing fatty acid concentrations. However, de novo fatty acid synthesis remained unchanged between high and low glucose levels. In addition, high glucose levels increased triglyceride content approximately twofold compared with low glucose levels. Furthermore, etomoxir-mediated inhibition of FAO enhanced esterification capacity by ~40% and elevated triglyceride content 1.5-fold in placental explants of women, with no complications. Finally, high glucose levels reduced CPT I activity by ~70% and phosphorylation levels of acetyl-CoA carboxylase by ~25% in placental explants of women, with no complications. We reveal an unrecognized regulatory mechanism on placental fatty acid metabolism by which high glucose levels reduce mitochondrial FAO through inhibition of CPT I, shifting flux of fatty acids away from oxidation toward the esterification pathway, leading to accumulation of placental triglycerides.

The relationship between maternal serum iron and zinc levels and their nutritional intakes in early pregnancy with gestational diabetes

The aim of this study was to investigate the association between maternal iron/zinc serum levels and their nutritional intake in early pregnancy with gestational diabetes. The maternal serum zinc/iron levels were measured in 1,033 healthy singleton pregnant women aged 20-35 between 14 and 20 weeks of gestation, within two groups: namely, normal and gestational diabetes, and participants were followed up to 24-28 weeks of gestation. Food frequency questionnaire was used to assess nutritional intakes of iron/zinc. The main outcome was gestational diabetes screened with the 50-g glucose challenge test and diagnosed with oral glucose tolerance test at 24-28 weeks of gestation. Gestational diabetes occurred in 72 (6.96 %) of 1,033 women in study. There was a statistical relationship between early pregnancy maternal serum iron and gestational diabetes, mean (SD), 143.8 (48.7) vs. 112.5 (83.5) μg/dl, P value of <0.0001. There was no statistical significant difference in zinc levels and iron/zinc nutritional intake between groups. The results remained unchanged after using regression model for adjustment of potential risk factors with an adjusted OR of 1.006 (95 % CI 1.002 to 1.009; P = 0.001) for early pregnancy maternal serum iron to cause gestational diabetes. The receiver-operator characteristic curve identified that a maternal serum iron above 100 μg/dl in early pregnancy is the optimum cutoff value for predicting gestational diabetes, which showed a sensitivity and specificity of 80.6 and 50.7 %, respectively. In conclusion, high maternal serum iron in early pregnancy could increase the risk of gestational diabetes. Also, it could be used as a sensitive and specific predictor for gestational diabetes.

Maternal vitamin D status as a critical determinant in gestational diabetes

OBJECTIVE

To synthesize published research to determine the evidence for the association between maternal vitamin D status during pregnancy and the development of gestational diabetes mellitus (GDM).

DATA SOURCES

Literature searches were conducted for data based articles that examined maternal vitamin D during pregnancy, GDM, glucose tolerance, and insulin resistance using the PubMed, CINAHL, and SCOPUS data bases and reference lists from reviewed papers.

STUDY SELECTION

Primary research studies published in the English language between 1999 and 2011 reporting findings regarding the association of vitamin D with glucose homeostasis during pregnancy and GDM.

DATA EXTRACTION

Study characteristics and findings related to vitamin D status determinants, gestational timing, and measures of glucose homeostasis and insulin resistance.

DATA SYNTHESIS

Six data based articles met the criteria for study inclusion. Study findings comprised solely Level-2 evidence for the association of maternal vitamin D deficiency and risk of GDM. The majority of studies (66%) were conducted between 24 and 30 weeks gestation. Five (83%) studies reported an inverse relationship between circulating vitamin D levels and markers of glucose homeostasis associated with gestational diabetes or an increased risk for GDM associated with reduced maternal levels of vitamin D. In one study, researchers did not identify an association between vitamin D and GDM but did identify an association between higher vitamin D levels and lower fasting glucose and insulin levels.

CONCLUSION

Maternal vitamin D deficiency and insufficiency is prevalent among gravid women and is associated with markers of altered glucose homeostasis. These findings underscore the need for mechanistic and clinical studies to determine optimal vitamin D status in pregnancy for reduction in the risk for GDM with implications for vitamin D supplementation as a potential target for GDM prevention.

Maternal diabetes in pregnancy: early and long-term outcomes on the offspring and the concept of "metabolic memory"

The adverse outcomes on the offspring from maternal diabetes in pregnancy are substantially documented. In this paper, we report main knowledge on impacts of maternal diabetes on early and long-term health of the offspring, with specific comments on maternal obesity. The main adverse outcome on progenies from pregnancy complicated with maternal diabetes appears to be macrosomia, as it is commonly known that intrauterine exposure to hyperglycemia increases the risk and programs the offspring to develop diabetes and/or obesity at adulthood. This “fetal programming”, due to intrauterine diabetic milieu, is termed as “metabolic memory”. In gestational diabetes as well as in macrosomia, the complications include metabolic abnormalities, degraded antioxidant status, disrupted immune system and potential metabolic syndrome in adult offspring. Furthermore, there is evidence that maternal obesity may also increase the risk of obesity and diabetes in offspring. However, women with GDM possibly exhibit greater macrosomia than obese women. Obesity and diabetes in pregnancy have independent and additive effects on obstetric complications, and both require proper management. Management of gestational diabetes mellitus and maternal obesity is essential for maternal and offspring's good health. Increasing physical activity, preventing gestational weight gain, and having some qualitative nutritional habits may be beneficial during both the pregnancy and offspring's future life.