Iranian Endocrine Society Guidelines for Screening, Diagnosis, and Management of Gestational Diabetes Mellitus

Prediction of gestational diabetes mellitus using early-pregnancy data: a secondary analysis from a prospective cohort study in Iran

BACKGROUND

Early identification of gestational diabetes mellitus is essential for improving maternal and neonatal outcomes. While risk factors such as advanced maternal age, elevated pre-pregnancy body mass index, multiparity, and a history of gestational diabetes have been recognized, the role of serum biomarkers remains uncertain. This study explores the predictive value of early-pregnancy laboratory findings in conjunction with maternal demographic and clinical characteristics for gestational diabetes mellitus.

METHODS

Early-pregnancy data from the first pregnancy visits at 6-12 weeks of gestation from women in the Mothers and Children's Health cohort were collected. Comprehensive maternal demographic data (e.g., age and body mass index) and obstetrics history (e.g., gravidity, parity, miscarriage, intrauterine growth retardation, gestational diabetes mellitus, and preeclampsia) were recorded. Maternal blood samples were analyzed for complete blood count and biochemistry parameters. Gestational diabetes mellitus was diagnosed based on 75-g oral glucose tolerance test results between 24 and 28 weeks of gestation, following the International Association of Diabetes and Pregnancy Study Groups criteria. Multivariate logistic regression analysis assessed the predictive capacity of various variables. Receiver operating curve analysis was conducted to identify optimal predictive cut-offs for continuous variables.

RESULTS

1,565 pregnant women with a mean age of 32.6 ± 5.7 years, mean body mass index of 25.5 ± 4.9 kg/m², mean gravidity of 1.1 ± 1.1, and mean parity of 0.8 ± 0.8 were included. 297 pregnancies (19.0%) were complicated by gestational diabetes mellitus. In the multivariate analysis, higher maternal age (p < 0.001, odds ratio = 1.076 [1.035-1.118]), a history of gestational diabetes mellitus (p < 0.001, odds ratio = 3.007 [1.787-5.060]) and preeclampsia (p = 0.007, odds ratio = 2.710 [1.310-5.604]), and elevated early-pregnancy fasting blood sugar (p < 0.001, odds ratio = 1.062 [1.042-1.083]) emerged as independent predictors of gestational diabetes mellitus. Moreover, the receiver operating curve yielded an optimal cut-off of 89.5 mg/dL for early-pregnancy fasting blood sugar in predicting gestational diabetes mellitus.

CONCLUSIONS

Our findings demonstrated that, in addition to established risk factors, a history of preeclampsia and elevated early-pregnancy fasting blood glucose are independent predictors of gestational diabetes mellitus. Therefore, close monitoring of pregnant women with these risk factors in early pregnancy is warranted to facilitate timely diagnostic and therapeutic interventions, reducing the burden of gestational diabetes.

TRIAL REGISTRATION

Not applicable.

Postnatal care after gestational diabetes - a systematic review of clinical practice guidelines

BACKGROUND

Gestational diabetes mellitus (GDM) is the most common metabolic disorder in pregnancy and later is associated with an increased risk of type 2 diabetes and other metabolic disorders. Consistent and evidence based postnatal care is key to improving maternal long-term health. We therefore aimed to review and compare recommendations of national and international clinical practice guidelines (CPG) for postnatal care after GDM and identify any evidence gaps in recommendations needing further research.

METHODS

We searched five databases and forty professional organization websites for CPGs providing recommendations for postnatal care after GDM. CPGs which had full versions in English, endorsed, prepared, or authorized by a professional body, and published between 2013 and 2023 were eligible for inclusion. Two reviewers independently screened the articles, extracted the recommendations, and appraised the included CPGs using the Appraisal of Guidelines, Research, and Evaluation (AGREE) II tool.

RESULTS

Twenty-six CPGs from 22 countries were included. Twelve CPGs (46%) were appraised as low quality with the lowest scoring domains being rigor of development and editorial independence. We found little high certainty evidence for most recommendations and few recommendations were made for maternal mental health and postpartum metabolic screening. Evidence gaps pertained to postpartum glucose screening, including frequency, tests, and ways to improve uptake, evaluation of effective uptake of lifestyle interventions, and ongoing long-term follow up care.

CONCLUSIONS

Most of the postnatal care recommendations in GDM guidelines are not based on high certainty evidence. Further efforts are needed to improve the global evidence base for postnatal care after GDM to improve long-term maternal health.

PROTOCOL REGISTRATION

This review was registered in PROSEPRO (CRD42023454900).

Various screening and diagnosis approaches for gestational diabetes mellitus and adverse pregnancy outcomes: a secondary analysis of a randomized non-inferiority field trial

INTRODUCTION

We evaluate which screening and diagnostic approach resulted in the greatest reduction in adverse pregnancy outcomes due to increased treatment.

RESEARCH DESIGN AND METHODS

This study presents a secondary analysis of a randomized community non-inferiority trial conducted among pregnant women participating in the GULF Study in Iran. A total of 35 430 pregnant women were randomly assigned to one of the five prespecified gestational diabetes mellitus (GDM) screening protocols. The screening methods included fasting plasma glucose (FPG) in the first trimester and either a one-step or a two-step screening method in the second trimester of pregnancy. According to the results, participants were classified into 6 groups (1) First-trimester FPG: 100-126 mg/dL, GDM diagnosed at first trimester; (2) First trimester FPG: 92-99.9 mg/dL, GDM diagnosed at first trimester; (3) First trimester FPG: 92-99.9 mg/dL, GDM diagnosed at second trimester; (4) First trimester FPG: 92-99.9 mg/dL, healthy at second trimester; (5) First trimester FPG<92 mg/dL, GDM diagnosed at second trimester; (6) First trimester FPG<92 mg/dL, healthy at second trimester. For our analysis, we initially used group 6, as the reference and repeated the analysis using group 2, as the reference group. The main outcome of the study was major adverse maternal and neonatal outcomes.

RESULTS

Macrosomia and primary caesarean section occurred in 9.8% and 21.0% in group 1, 7.8% and 19.8% in group 2, 5.4% and 18.6% in group 3, 6.6% and 21.5% in group 4, 8.3% and 24.0% in group 5, and 5.4% and 20.0% in group 6, respectively. Compared with group 6 as the reference, there was a significant increase in the adjusted risk of neonatal intensive care unit (NICU) admission in groups 1, 3, and 5 and an increased risk of macrosomia in groups 1, 2, and 5. Compared with group 2 as the reference, there was a significant decrease in the adjusted risk of macrosomia in group 3, a decreased risk of NICU admission in group 6, and an increased risk of hyperglycemia in group 3.

CONCLUSIONS

We conclude that screening approaches for GDM reduced the risk of adverse pregnancy outcomes to the same or near the same risk level of healthy pregnant women, except for the risk of NICU admission that increased significantly in groups diagnosed with GDM compared with healthy pregnant women. Individuals with slight increase in FPG (92-100 mg/dL) at first trimester, who were diagnosed as GDM, had an even increased risk of macrosomia in comparison to those group of women with FPG 92-100 mg/dL in the first trimester, who were not diagnosed with GDM, and developed GDM in second trimester TRIAL REGISTRATION: IRCT138707081281N1 (registered: February 15, 2017).

Clinical practice guidelines on physical activity and exercise for pregnant women with gestational diabetes mellitus: A systematic review

AIM

This review aimed to appraise clinical guidelines about exercise for women with gestational diabetes mellitus and summarize consensus and inconsistent recommendations.

BACKGROUND

Exercise is an effective non-pharmacological therapeutic for gestational diabetes mellitus, but the variety of relevant clinical practice guidelines is confusing for healthcare professionals.

DESIGN

This is a systematic review of clinical practice guidelines.

DATA SOURCES

Websites of guideline development institutions, eight literature databases and organizations of obstetricians, gynaecologists, midwives, and medical sports associations were searched for guidelines published from January 2011 to October 2021.

REVIEW METHODS

Two reviewers independently extracted recommendations. Four reviewers assessed guideline quality using the AGREE II instrument independently.

RESULTS

Fifteen guidelines were included. All women with diabetes are recommended to exercise during pregnancy. The consistent recommendations were for pre-exercise screening, for 30 min per exercise session on 5 days of the week or every day after meals, exercise at moderate intensity, using aerobic and resistance exercise, and walking. The main non-consistent recommendations included warning signs for women on insulin during exercise, minimum duration per session, intensity assessment, duration and frequency of sessions for strengthening and flexibility exercise and detailed physical activity giving birth.

CONCLUSIONS

Guidelines strongly support pregnant women with diabetes to exercise regularly. Research is needed to make non-consistent recommendations clear.

Construction and validation of risk prediction model for gestational diabetes based on a nomogram

OBJECTIVE

To construct a model to predict the risk of gestational diabetes mellitus (GDM) based on a nomogram and verify it.

METHODS

Data from 182 patients with GDM treated in Xi'an International Medical Center Hospital from January 2018 to May 2021 were retrospectively analyzed. A total of 491 normal parturients who underwent physical examination in Xi'an International Medical Center Hospital during the same period were selected as controls. With a ratio of 7:3, patients with GDM were divided into a training group (n=128) and a verification (n=54) group, and 491 normal parturients were divided into a training control group (n=344) and a verification control group (n=147). Clinical data were collected, and risk factors for GDM were analyzed by logistic regression. R language was used to construct a prognostic prediction nomogram model for GDM, and a receiver operating characteristic curve was employed to evaluate the accuracy of this nomogram model in predicting the prognosis of GDM.

RESULTS

Univariate analysis revealed that age, body mass index (BMI), family history of diabetes, hemoglobin, triglycerides, serum ferritin, and fasting blood glucose in the first trimester were different between the training group and the training control group (P<0.05). Multivariate analysis revealed that age, BMI, hemoglobin, triglycerides, serum ferritin, and fasting blood glucose in the first trimester were independent risk factors for GDM (P<0.05). Based on a logistic regression equation, the risk formula was -5.971 + 1.054 * age + 1.133 * BMI + 1.763 * hemoglobin + 1.260 * triglycerides + 3.041 * serum ferritin + 1.756 * fasting blood glucose in the first trimester. The area under the curve for predicting the risk of GDM in the training group was 0.920, and that of the validation group was 0.753.

CONCLUSION

Age, BMI, hemoglobin, serum ferritin, and fasting blood glucose in the first trimester are risk factors for GDM.

National and subnational survey on diabetes burden and quality of care index in Iran: a systematic analysis of the global burden of disease study 1990-2019

Purpose

Diabetes care is one of the major healthcare problems . This study aimed to introduce a recently-developed Quality of Care Index (QCI) for type 2 diabetes and utilized it to compare different genders, age groups, and Iranian provinces.

Methods

From the Global Burden of Disease 1990-2019 database, we obtained primary epidemiologic measures and combined them to build four secondary indices, all indicating the quality of care provided to patients. We utilized the principal component analysis (PCA) method to calculate the substantial component named QCI (with a scale of 0-100). Gender inequality was shown by the gender disparity ratio (GDR), defining female to male QCI.

Results

National QCI ranged from 43.0 in 1990 to 38.6 in 2019. By excluding the more frequent outlier province; Tehran as the Capital of Iran, the QCI score reached 50.27 in 2019. The GDR decreased from 1.04 to 0.95. QCI indicated rather more favorable conditions in Iranian provinces with a higher socio-demographic index (SDI). Conversely, provinces with a lower SDI had worse QCI. In 2019, Tehran, the capital of Iran, with the highest (58.5), and South Khorasan with the lowest QCIs (0.4) were the two Iranian provinces' extremes. Moreover, the elderly QCI improved in 2019.

Conclusion

During 1990-2019, there are remarkable disparities between Iran's provinces, genders and age groups. The equitable and widespread provision of facilities should be considered along with the decentralization of healthcare resources.

Supplementary Information

The online version contains supplementary material available at 10.1007/s40200-022-01108-x.