Prevalence of diabetes five years after having gestational diabetes during pregnancy - Croatian national study

Precision stratification of prognostic risk factors associated with outcomes in gestational diabetes mellitus: a systematic review

BACKGROUND

The objective of this systematic review is to identify prognostic factors among women and their offspring affected by gestational diabetes mellitus (GDM), focusing on endpoints of cardiovascular disease (CVD) and type 2 diabetes (T2D) for women, and cardiometabolic profile for offspring.

METHODS

This review included studies published in English language from January 1st, 1990, through September 30th, 2021, that focused on the above outcomes of interest with respect to sociodemographic factors, lifestyle and behavioral characteristics, traditional clinical traits, and 'omics biomarkers in the mothers and offspring during the perinatal/postpartum periods and across the lifecourse. Studies that did not report associations of prognostic factors with outcomes of interest among GDM-exposed women or children were excluded.

RESULTS

Here, we identified 109 publications comprising 98 observational studies and 11 randomized-controlled trials. Findings indicate that GDM severity, maternal obesity, race/ethnicity, and unhealthy diet and physical activity levels predict T2D and CVD in women, and greater cardiometabolic risk in offspring. However, using the Diabetes Canada 2018 Clinical Practice Guidelines for studies, the level of evidence was low due to potential for confounding, reverse causation, and selection biases.

CONCLUSIONS

GDM pregnancies with greater severity, as well as those accompanied by maternal obesity, unhealthy diet, and low physical activity, as well as cases that occur among women who identify as racial/ethnic minorities are associated with worse cardiometabolic prognosis in mothers and offspring. However, given the low quality of evidence, prospective studies with detailed covariate data collection and high fidelity of follow-up are warranted.

Predictors and risk factors of short-term and long-term outcomes among women with gestational diabetes mellitus (GDM) and their offspring: Moving toward precision prognosis?

As part of the American Diabetes Association Precision Medicine in Diabetes Initiative (PMDI) - a partnership with the European Association for the Study of Diabetes (EASD) - this systematic review is part of a comprehensive evidence evaluation in support of the 2 ^nd International Consensus Report on Precision Diabetes Medicine. Here, we sought to synthesize evidence from empirical research papers published through September 1 ^st , 2021 to evaluate and identify prognostic conditions, risk factors, and biomarkers among women and children affected by gestational diabetes mellitus (GDM), focusing on clinical endpoints of cardiovascular disease (CVD) and type 2 diabetes (T2D) among women with a history of GDM; and adiposity and cardiometabolic profile among offspring exposed to GDM in utero. We identified a total of 107 observational studies and 12 randomized controlled trials testing the effect of pharmaceutical and/or lifestyle interventions. Broadly, current literature indicates that greater GDM severity, higher maternal body mass index, belonging to racial/ethnic minority group; and unhealthy lifestyle behaviors would predict a woman's risk of incident T2D and CVD, and an unfavorable cardiometabolic profile among offspring. However, the level of evidence is low (Level 4 according to the Diabetes Canada 2018 Clinical Practice Guidelines for diabetes prognosis) largely because most studies leveraged retrospective data from large registries that are vulnerable to residual confounding and reverse causation bias; and prospective cohort studies that may suffer selection and attrition bias. Moreover, for the offspring outcomes, we identified a relatively small body of literature on prognostic factors indicative of future adiposity and cardiometabolic risk. Future high-quality prospective cohort studies in diverse populations with granular data collection on prognostic factors, clinical and subclinical outcomes, high fidelity of follow-up, and appropriate analytical approaches to deal with structural biases are warranted.

Laboratory and Clinical Predictors for Gestational Diabetes Mellitus among Kosovo Pregnant Women

BACKGROUND: Gestational diabetes mellitus (GDM) is a condition increasing yearly worldwide. AIM: We investigated the prevalence and the arrangement of common risk predictors for developing GDM among Kosova pregnant women after 24 gestational weeks. MATERIALS AND METHODS: A total of 202 hospitalized pregnant women participated in this prospective study. All participants underwent a detailed clinical examination for risk factors for GDM, followed by appropriate biochemical blood analysis and anthropometric measurements. The glucose tolerance test results were interpreted according to the criteria established by the World Health Organization (WHO) and American Diabetes Association. Participants in the first part of the study were divided into the four risk groups and in the second part GDM group (case group) or a normal glucose tolerance group (control group) to determine the risk factors for GDM and associated clinical and biochemical predictors. RESULTS: The prevalence of gestational diabetes was 5.9%.The average age was 30.0 ± 5.5. Main characteristics of high-risk group of women for GDM were: ages above 30-year-old (p = 0.001), positive glucose intolerance (p = 0.0001), personal history for GDM (p = 0.0001), familiar history for DM (p = 0.0001), obesity (p = 0.0001), previous childbirth with weight higher than 4000 g (p = 0.0001), vulvovaginal infection (p = 0.0001), and polyhydramnios (p = 0.0001). Almost the same characteristics were found also for the GDM group: Like personal history for GDM (p = 0.0018), and family history for DM (p = 0.0018). Moreover, the group with GDM was characterized with significantly higher laboratory parameters such as fasting glycemia (p = 0.0000), triglycerides, and cholesterol concentrations (p = 0.0001). Anthropometric measurements such as weight (p = 0.002), body mass index (p = 0.0015), and systolic (p = 0.0163) and diastolic (p = 0.042) blood pressure were also significantly higher than the control group. CONCLUSIONS: Older age, family history of diabetes and personal history for GDM, polyhydramnios, stillbirth >4000 g, were significant risk factors for GDM. Screening for risk factors can easily bring at GDM early diagnosis and prevention. Public awareness-raising on the risk factors for GDM and the need for early screening should be strongly pursued, particularly for the women at risk for GDM, especially in developing countries. At every level of health service, GDM screening to pregnant women should be incorporated as a routine antenatal visit.

What is known and what remains unresolved regarding gestational diabetes mellitus (GDM)

Gestational diabetes mellitus (GDM) has become a major public health issue and one of the most discussed topics in contemporary obstetrics. Due to rising prevalence of GDM worldwide impact and importance of this medical condition in good quality antenatal care is growing. GDM is associated with serious adverse perinatal outcomes and unfavorable long-term health consequences for both, mother and her child. Despite a great amount of knowledge accumulated regarding GDM, medical community remains indecisive and still debates the most appropriate diagnostic strategy, screening policy, and treatment options for pregnancies complicated with GDM. These unresolved issues generate controversies, motivate further research and contribute to the growing interest surrounding GDM. In this review we will discuss and try to explain some of them.

Projections of the prevalence of hyperglycaemia in pregnancy in 2019 and beyond: Results from the International Diabetes Federation Diabetes Atlas, 9th edition

AIM

Hyperglycaemia in pregnancy (HIP) is one of the most common complications of pregnancy. This study aims to examine the projected HIP prevalence in 2030 and 2045 using multiple methods.

METHODS

The International Diabetes Federation Diabetes Atlas 2019 prevalence was projected to 2030 and 2045 by: (1) carrying forward the 2019 age-adjusted prevalence rates; (2) applying a linear regression of the past four editions of the IDF Diabetes Atlas; (3) applying a regression of the previous editions with the most consistent trend, followed by extrapolation from the 9th edition HIP estimate.

RESULTS

Respectively, for 2030 and 2045, Method 1 projected a declining HIP rate with prevalences of 14.0% and 13.3%, Method 2 projected an increasing HIP prevalence at 16.5% and 18.3%, Method 3 predicted stabilisation of the rate from 16.0% to 15.8%.

CONCLUSION

Assuming other factors remain unchanged, our best estimation of age-adjusted HIP will show stabilisation between 2019 and 2045 of 15.8% to 16.0%. However, this estimate is confounded by the heterogeneity of studies and the influence of different gestational diabetes mellitus diagnostic criteria. To provide accurate future comparisons we recommend standardising the diagnostic criteria to the International Association of Diabetes in Pregnancy Study Groups.

Barriers in determining prevalence of type 2 diabetes mellitus among postpartum GDM: The research and retraining needs of healthcare professionals

AIM

A large percentage of gestational diabetes (GDM) are undiagnosed, and prevalence of postpartum type 2 diabetes (T2DM) is unknown, especially in developing countries. This study assessed barriers to GDM diagnosis and postpartum follow-up; to determine educational needs.

MATERIALS AND METHODS

This was a clinical observational study of records and procedures of antenatal services at two hospitals. Laboratory and medical records were reviewed for availability of data on anthropometrics, blood glucose, gestational age, urinalysis, and lipid profile for GDM register. Antenatal clinic protocol was observed for GDM diagnosis. BMI was derived and data were analyzed using SPSS version 20.

RESULTS

Critical barriers attributable to health systems included lack of screening for blood sugar as part of routine antenatal protocol, and lack of GDM registers at both facilities. There was 6.5% registration of pregnancies in first trimester, 22% pre-pregnancy obesity, and 2.6% high blood pressure. Positive glucosuria cases were not followed-up for GDM diagnosis.

CONCLUSIONS

There is neither concerted effort to diagnose GDM, nor systematic records of screening and postpartum follow-up. The gap in diabetology knowledge and practice calls for re-training of antenatal healthcare professionals. GDM screening checklist needs to be established and positive results entered into GDM registers for proper management during and after delivery.

Evaluation of ADL and BMI in the management of diabetes mellitus at secondary and tertiary health facilities

AIMS

Physical activities of daily living (ADL) constitutes one of diabetes management options. This study aimed to assess the extent that ADL and BMI are evaluated among diabetes patients in hospital practice.

METHOD

This was a clinical observational baseline study in two hospitals. Audit of medical files was performed to assess if BMI and occupations were recorded (N = 112). Afterwards, 'N = 38' who consented to participate in prospective study were conveniently sampled to assess ADL in relation to accessible metabolic syndrome tests. A validated questionnaire was used to collect data, which were analysed using SPSS version 20.

RESULTS

Audit shows 55/112 of clients' occupation were taken, of which 31% has BMI record. Those with lipid profile results are without blood pressure and vice versa. In the cross-sectional assessment, 74% are in physically demanding ADL occupations, but affirmed inactivity is 98% on leisure exercise. Further, 47% have BMI >25 kg/m² and were consistently less active on all leisure ADL relative to those with BMI <25 kg/m² (p < 0.02).

CONCLUSION

This report highlights oversight in clinical practice, whereby accessible metabolic syndrome parameters and occupation of clients living with diabetes are being assessed inconsistently. This implies an unmet need in the integration BMI and occupational information to improve diabetes self-management.