Frequency of gestational diabetes mellitus and the associated risk factors

Knowledge of Gestational Diabetes Mellitus Among Adult Females in Al Qassim Province, Saudi Arabia: A Cross-Sectional Study

Background Gestational diabetes mellitus (GDM) is a carbohydrate intolerance of variable severity with onset or first recognition during pregnancy; it does not include diabetics who become pregnant or women who become lactosuric. Knowledge of this problem among the public will promote its prevention, screening, and treatment strategies. This study aims to assess the knowledge of GDM regarding its risk factors, screening, treatment, and complications among women in the Al Qassim Province, Saudi Arabia. Method A cross-sectional study was conducted among 617 females aged 18 years and older through convenience sampling between October 2022 and January 2023. An online questionnaire was distributed using Google Forms (Google LLC, Mountain View, CA, USA) and WhatsApp (Meta, Menlo Park, CA, USA). Data was entered, cleaned, and analyzed using SPSS Statistics version 27 (IBM Corp., Armonk, NY, USA). Informed consent was obtained from every participant, and the participants' information was kept confidential. Results In this study, 52.4% of the women (323/617) had moderate knowledge, and 27.6% (170/617) had excellent knowledge about GDM. Only 13.3% (n = 82) knew the optimum time (24 to 28 weeks of gestational age) for gestational diabetes screening in the absence of risk factors. Moreover, 44.6% (n = 275) knew that insulin is one of the treatments for gestational diabetes, while 45.4% (n = 280) knew that gestational diabetes increases a baby's risk of obesity and type 2 diabetes mellitus (T2DM) later in life. A statistically significant association was found between the development of GDM with multigravida (19.5%), a BMI of >25 (15%), and age 31 to 45 years (17.8%), with corresponding p-values of 0.001, 0.0001, and 0.0001, respectively. Conclusion In this study, almost four-fifths of the study population had moderate to excellent knowledge regarding GDM. However, there is a need to enhance knowledge about optimum screening time and insulin use for gestational diabetes treatment. Therefore, encouraging the existing population to learn more about diabetes education programs and health promotional measures should be undertaken periodically. Further studies are required to support this study's findings.

Association of ACE2 gene functional variants with gestational diabetes mellitus risk in a southern Chinese population

OBJECTIVE

To explore the relationship between angiotensin-converting enzyme 2 (ACE2) genetic variants and gestational diabetes mellitus (GDM) in a southern Chinese population.

METHODS

Potential functional variants (rs2106809, rs6632677, and rs2074192) of ACE2 were selected and genotyped in 566 GDM patients and 710 normal pregnaõncies in Guilin, China. The odds ratio (OR) and its corresponding 95% confidence interval (CI) were used to evaluate the association between genetic variant and GDM risk, and then the false positive report probability, multifactor dimensional reduction (MDR), and bioinformatics tools were used to confirm the significant association in the study.

RESULTS

After adjusting for age and prepregnancy body mass index, logistic regression analysis showed that ACE2 rs6632677 was significantly associated with a decreased risk of GDM (CC vs. GG: adjusted OR = 0.09, 95% CI: 0.01 - 0.71, P = .023; GC/CC vs. GG: adjusted OR = 0.68, 95% CI = 0.46 - 0.99, P = .048; and CC vs. GG/GC: adjusted OR = 0.09, 95% CI = 0.01 - 0.72, P = .024), whereas rs2074192 was associated with increased GDM risk (TT vs. CC/CT: adjusted OR = 1.38, 95% CI = 1.08 - 1.75, P = .009). Furthermore, we found that rs6632677 interacted with SBP (P _interaction = .043) and FPG (P _interaction = .021) and rs2074192 interacted with HDL-c (P _interaction = .029) and LDL-c (P _interaction = .035) to influence the GDM risk of the individual. In the MDR analysis, the rs6632677 was the best one-locus model, and the three-loci model was the best interaction model to predict GDM risk. In addition, functional analysis confirmed that rs2074192 may regulate the splicing process of ACE2 gene.

CONCLUSION

ACE2 gene variants are significantly associated with the risk of GDM via gene-gene and gene-environment combinations. The rs2074192 C > T affects the splicing of the ACE2 gene, which may be a potential mechanism leading to the changed susceptibility of an individual female during pregnancy to GDM.

Factors Associated With Gestational Diabetes Mellitus: A Cross-Sectional Study

Introduction The absence of tolerance in the levels of carbohydrates at the onset or at the time of pregnancy amongst females is known as gestational diabetes mellitus (GDM). This study is designed to determine the frequency of GDM and factors responsible for GDM to assess the actual magnitude of the outcome. Furthermore, it allows for developing strategies to minimize morbidities and improve the pregnancy outcome by early diagnosis and timely management, which can help reduce the frequency of GDM. The aim of the study was to determine the frequency of GDM and the factors responsible for GDM. Methods This was a cross-sectional study conducted in the Department of Obstetrics & Gynaecology Unit 2, Civil Hospital Karachi from the period starting from March 1, 2017, and ending on August 31, 2017, in order to determine the prevalence and associated risk factors of GDM. The study was carried out on 674 pregnant women. A total of 185 consecutive booked cases between the ages of 20 and 40 years, with parity 1 or more with gestational age greater than 24 weeks, were included in the study. Fasting plasma glucose levels 5.1-6.9 mmol/L (92-125mg/dl) and two hours plasma glucose levels of 8.5-11.0 mmol/L (153-199mg/dl) were set up as cut-off levels. GDM and factors were labeled on the basis of cut-off levels. Factors responsible for GDM included high maternal age when the age of the women was greater than 35 years and grand multiparity when women having a number of children greater than five, that is, women who have given birth five or more times. The collection forms were completed in the postpartum period. All information was obtained through the patient's clinical record and prenatal card. Initially, all variables were analyzed descriptively. To see the association of the groups, the chi-squared test (χ2 test) or Fisher's exact test was used. The level of significance used for the tests was 5%. Results The prevalence of gestational diabetes was 9.73% (95% CI: 8.53-12.64). The average age of the patients was 28.99 ± 4.34 years. The average pre-gestational BMI was 25.44 ± 2.74. Out of 185 women, 127 (68.65%) were less than or equal to 30 years of age. The average pre-gestational BMI was 25.44 ± 2.74, and average gestational age was 28.99 ± 2.34 years, respectively. A total of 161 (87.03%) of the women had a family monthly income of more than 10,000 PKR. There were 61 (32.97%) primiparous, 97 (52.43%) multiparous, and 27 (14.59%) grand multiparous women. Most of the women were illiterate numbering 36 (19.46%) or primary educated, numbering 30 (16.22%), and secondary educated or higher numbering 6 (3.24%). High maternal age (>30 years), high parity (>3), previous history of GDM, and family history of GDM were the significant factors of GDM. Conclusion The results of our study showed that the prevalence of gestational diabetes was 9.73% (95% CI: 8.53-12.64). Therefore, this study also showed that developing GDM was directly related to the following factors; such as the history of GDM in previous pregnancies with advanced maternal age, increased parity, and any medical history including a family history of GDM, along with the level of education of women. Hence, early detection and intervention are important because it improves pregnancy outcome.

Prevalence of Gestational Diabetes Mellitus and Its Associated Risk Factors in Boo-Ali Hospital, Tehran

Background:

Gestational diabetes mellitus (GDM) represents the most common metabolic complication during pregnancy. GDM is associated with maternal and fetal complications. Approximately 7% of all pregnancies are affected by GDM, resulting in more than 200,000 cases worldwide annually, and the prevalence may vary from 1% to 14% among all pregnancies. Accordingly, this study attempted to determine the prevalence and some risk factors of GDM.

Materials and Methods:

This hospital-based cross-sectional study was carried out at Boo-Ali hospital in Tehran, the capital of Iran. Four hundred non-diabetics pregnant women with a gestational age of 24-28 weeks who attended the Boo-Ali hospital outpatient department were included in our study. Demographic and anthropometric data including age, gravida, para, gestational age, family history of diabetes, history of GDM, weight, height, and body mass index (BMI) were collected. Blood samples were collected from the women at 24-28 weeks to diagnose GDM by oral glucose tolerance test (OGTT). We measured the 25-OH-D level in participants at 24-28 weeks.

Results:

Among the 400 pregnant women, 46 (11.5%) had GDM based on OGTT, and the mean age of GDM women were 30.78± 5.96 years. Among selected variables, BMI ≥25kg/m2, family history, and GDM history were associated with increased risks of GDM (odds ratio=2.49, 95% confidence interval [CI] 1.22–5.07;3.52, 95% CI 1.84–6.70; 19.57, and 95% CI 6.16–62.17, respectively). The association was more robust in the positive GDM history of women.

Conclusion:

High prevalence of GDM highlights more attention of health-care givers in screening pregnant women with risk factors. BMI as a modifiable risk factor for GDM needs more attention, and positive family history and previous GDM history should be considered in the core activities of pregnant women.

Behaviors of Turkish pregnant women towards gestational diabetes screening

OBJECTIVES

Although gestational diabetes is the most common metabolic disease in pregnancy some pregnant women still refuse to undergo oral glucose tolerance test (OGTT). The purpose of this study was to evaluate the behavior of pregnant women undergoing OGTT, and to compare perinatal results between women who undergo and refuse OGTT.

METHODS

This retrospective cohort study was performed by evaluating the data of Izmir Katip Celebi University Gynecology and Obstetrics outpatient clinic between 2012-2017. Data of 2079 pregnant were evaluated retrospectively. Among 373 women who refused OGTT were evaluated as the study group, while remaining 1706 women who underwent OGTT were considered as the control group. The groups were compared with regard to perinatal results.

RESULTS

Sixty-two point four percent of the group who refused OGTT had a C-section, while 56.3% of the control group had a C-section (p<0.05). Intrauterine growth retardation, fetal distress, amniotic fluid pathologies, macrosomia, gestational hypertension and perinatal death were slightly higher in pregnant women who did not undergo OGTT compared to the control group, however, the difference was not statistically significant.

CONCLUSION

Maternal complications and poor pregnancy results were found slightly higher in pregnant women who refused OGTT. These results might be explained by assuring glycemic control in pregnant women who refused OGTT by a series of fasting and postprandial blood sugar measurements in our center.

Coping with Stress among Pregnant Women with Gestational Diabetes Mellitus

Introduction: The stress of pregnancy itself, gestational diabetes mellitus (GDM) that develops during pregnancy is also a stressor, because it can cause serious maternal and fetal health problems. The aim of this study was to examine the relationships between the characteristics of pregnant women with GDM and their styles of coping with stress.

Methods: This descriptive cross-sectional study was conducted on 126 pregnant women with GDM. The sample consisted of patients who applied to the diabetes mellitus training polyclinic of a training and research and university hospital in southeastern Turkey, Data were evaluated using descriptive statistics, Kolmogorov-Smirnov normality tests, Spearman's rho and Pearson Correlation analysis, the Student’s t-test, Mann–Whitney U-test and Kruskal–Wallis- test by SPSS software (version 13.0).

Results: It was determined that a planned pregnancy, a high educational level, a first pregnancy and weight gain were important factors in the women with GDM in the study who coped effectively with stress during pregnancy. Unemployment and a second or subsequent pregnancy were important factors in the women with GDM< who coped ineffectively with stress during pregnancy. In addition, it was determined that the hemoglobin HbA1c levels of the pregnant women with GDM with "optimistic" and "submissive" approaches towards coping with stress were lower.

Conclusion: It was determined that pregnant women with optimistic and submissive approaches towards coping with stress had lower HbA1c levels. It is suggested that randomized controlled studies be conducted to further determine the coping styles of patients with GDM.

Planned birth at or near term for improving health outcomes for pregnant women with gestational diabetes and their infants

BACKGROUND

Gestational diabetes is a type of diabetes that occurs during pregnancy. Women with gestational diabetes are more likely to experience adverse health outcomes such as pre-eclampsia or polyhydramnios (excess amniotic fluid). Their babies are also more likely to have health complications such as macrosomia (birthweight > 4000 g) and being large-for-gestational age (birthweight above the 90th percentile for gestational age). Current clinical guidelines support elective birth, at or near term in women with gestational diabetes to minimise perinatal complications, especially those related to macrosomia.This review replaces a review previously published in 2001 that included "diabetic pregnant women", which has now been split into two reviews. This current review focuses on pregnant women with gestational diabetes and a sister review focuses on women with pre-existing diabetes (Type 1 or Type 2).

OBJECTIVES

To assess the effect of planned birth (either by induction of labour or caesarean birth), at or near term (37 to 40 weeks' gestation) compared with an expectant approach for improving health outcomes for women with gestational diabetes and their infants. The primary outcomes relate to maternal and perinatal mortality and morbidity.

SEARCH METHODS

We searched Cochrane Pregnancy and Childbirth's Trials Register, ClinicalTrials.gov and the WHO International Clinical Trials Registry Platform (ICTRP) (15 August 2017), and reference lists of retrieved studies.

SELECTION CRITERIA

We included randomised trials comparing planned birth, at or near term (37 to 40 weeks' gestation), with an expectant approach, for women with gestational diabetes. Cluster-randomised and non-randomised trials (e.g. quasi-randomised trials using alternate allocation) were also eligible for inclusion but none were identified.

DATA COLLECTION AND ANALYSIS

Two of the review authors independently assessed study eligibility, extracted data and assessed the risk of bias of the included study. The quality of the evidence was assessed using the GRADE approach.

MAIN RESULTS

The findings of this review are based on a single trial involving 425 women with gestational diabetes. The trial compared induction of labour with expectant management (waiting for the spontaneous onset of labour in the absence of any maternal or fetal issues that may necessitate birth) in pregnant women with gestational diabetes at term. We assessed the overall risk of bias as being low for most domains, apart from performance, detection and attrition bias (for outcome perineum intact), which we assessed as being at high risk. It was an open-label trial, and women and healthcare professionals were not blinded.There were no clear differences between women randomised to induction of labour and women randomised to expectant management for maternal mortality or serious maternal morbidity (risk ratio (RR) 1.48, 95% confidence interval (CI) 0.25 to 8.76, one trial, 425 women); caesarean section (RR 1.06, 95% CI 0.64 to 1.77, one trial, 425 women); or instrumental vaginal birth (RR 0.81, 95% CI 0.45 to 1.46, one trial, 425 women). For the primary outcome of maternal mortality or serious maternal morbidity, there were no deaths in either group and serious maternal morbidity related to admissions to intensive care unit. The quality of the evidence contributing to these outcomes was assessed as very low, mainly due to the study having high risk of bias for some domains and because of the imprecision of effect estimates.In relation to primary neonatal outcomes, there were no perinatal deaths in either group. The quality of evidence for this outcome was judged as very low, mainly due to high risk of bias and imprecision of effect estimates. There were no clear differences in infant outcomes between women randomised to induction of labour and women randomised to expectant management: shoulder dystocia (RR 2.96, 95% CI 0.31 to 28.21, one trial, 425 infants, very low-quality evidence); large-for-gestational age (RR 0.53, 95% CI 0.28 to 1.02, one trial, 425 infants, low-quality evidence).There were no clear differences between women randomised to induction of labour and women randomised to expectant management for postpartum haemorrhage (RR 1.17, 95% CI 0.53 to 2.54, one trial, 425 women); admission to intensive care unit (RR 1.48, 95% CI 0.25 to 8.76, one trial, 425 women); and intact perineum (RR 1.02, 95% CI 0.73 to 1.43, one trial, 425 women). No infant experienced a birth trauma, therefore, we could not draw conclusions about the effect of the intervention on the outcomes of brachial plexus injury and bone fracture at birth. Infants of women in the induction-of-labour group had higher incidences of neonatal hyperbilirubinaemia (jaundice) when compared to infants of women in the expectant-management group (RR 2.46, 95% CI 1.11 to 5.46, one trial, 425 women).We found no data on the following prespecified outcomes of this review: postnatal depression, maternal satisfaction, length of postnatal stay (mother), acidaemia, intracranial haemorrhage, hypoxia ischaemic encephalopathy, small-for-gestational age, length of postnatal stay (baby) and cost.The authors of this trial acknowledge that it is underpowered for their primary outcome of caesarean section. The authors of the trial and of this review note that the CIs demonstrate a wide range, therefore making it inappropriate to draw definite conclusions.

AUTHORS' CONCLUSIONS

There is limited evidence to inform implications for practice. The available data are not of high quality and lack power to detect possible important differences in either benefit or harm. There is an urgent need for high-quality trials evaluating the effectiveness of planned birth at or near term gestation for women with gestational diabetes compared with an expectant approach.

Glycated albumin is an optimal biomarker for gestational diabetes mellitus

Gestational diabetes mellitus (GDM) refers to abnormal glucose tolerance, which is a common complication that occurs in some women for the first time during the gestation period. However, the relationship between onset of GDM and factors including advanced age and a family history of diabetes remains to be determined. The study aimed to examine the clinical significance of the detection of glycated albumin (GA) in pregnant women with GDM. A total of 893 cases of pregnant women with GDM were included, with 661 healthy pregnant women serving as the normal controls. A conditional logistic regression model was used to analyze the univariate and multivariate data to estimate the odds ratio (OR) and 95% confidence interval (95% CI). As the gestational weeks increased, the fasting blood glucose (FGP) concentration and GA-L value of the pregnant women in the normal control group gradually decreased whereas those of pregnant women with GDM greatly increased. The univariate analysis revealed that the impact factors on the occurrence of early-onset neonatal sepsis included, mother's age >35 years, complication of pregnancy hypertension, family history of hypertension, family history of diabetes, cesarean delivery, height, BMI, GA-L, and FGP. The multivariate logistic regression analysis revealed that the complication of pregnancy hypertension (OR=3.302; 95% CI, 1.705–6.394), family history of hypertension (OR=2.970; 95% CI, 1.520–5.801), GA-L (OR=1.556; 95% CI, 0.940–2.012) and FGP (OR=5.431; 95% CI, 4.097–7.198) were the main factors for pregnant women with GDM. In conclusion, pregnant women with GDM may be affected by various factors. Additionally, GA may be applied to reflect the recent blood glucose control on pregnant women with GDM.