Machine learning prediction of non-attendance to postpartum glucose screening and subsequent risk of type 2 diabetes following gestational diabetes

Implementation of In-Hospital Postpartum Glucose Tolerance Testing for People with Gestational Diabetes

OBJECTIVE

 We aimed to evaluate uptake of the glucose tolerance test performed during delivery hospitalization as part of routine clinical care.

STUDY DESIGN

 This is a retrospective cohort study of people with GDM at a tertiary center. We collected 9 months of postimplementation data after the in-hospital ("early") glucose tolerance test was adopted as a routine screening option. Adherence was compared between those who elected early glucose tolerance testing versus those who deferred testing to the standard postpartum period. Bivariable statistics including demographics, care team, and postpartum testing/visit attendance were compared between those who received early testing and those who did not using chi-square, Fisher's exact, and t-tests.

RESULTS

 A total of 681 patients with GDM delivered during the study period. Of those who had an early glucose tolerance test ordered (n = 408), 340 (83.3%) completed the test. Among those who did not complete an early glucose tolerance test (ordered and not completed or never ordered), only 104/341 (30.5%) completed any postpartum glucose testing in the first 12 months of postpartum. There were significant differences in characteristics in terms of race/ethnicity, insurance, type of gestational diabetes (A1GDM vs. A2GDM), diabetes medications, obstetric care provider, and delivery mode. Among those who completed early testing, 43.7% of participants had impaired glucose metabolism and 6.5% had values concerning for overt diabetes mellitus. Among those who deferred testing to the standard 6- to 12-week period, 24.0% had impaired glucose metabolism and none had overt diabetes. Those who completed an early glucose tolerance test had a lower rate of postpartum visit attendance compared with those who deferred (75.6 vs. 91.5%, p < 0.01).

CONCLUSION

 In this cohort, when the early glucose tolerance test is offered in clinical practice, adherence rates are higher than when the test is deferred until the postpartum visit.

KEY POINTS

· Adherence rates with the early glucose tolerance test (GTT) are higher than if the testing is deferred.. · Those who completed an early GTT had a lower rate of postpartum visit attendance compared with those who deferred.. · Offering an in-hospital postpartum GTT can help address low rates of glucose testing postpartum..

Cross-sectional study examining factors impacting on uptake of postpartum type 2 diabetes screening among women diagnosed with hyperglycaemia in pregnancy

AIMS

Early postpartum glucose screening of women with hyperglycaemia in pregnancy (HIP) can identify women who have the highest risk of developing impaired glucose tolerance and T2DM. This study examines the association between demographics, events during pregnancy, socioeconomic status and postpartum T2DM screening.

METHODS

Using the French National Health Data System, this cross-sectional study included all deliveries where the mother had HIP in France in 2015, (n = 76,862). The odds ratio (OR) for attending postpartum screening was calculated via multi-level logistic regression.

RESULTS

T2DM screening uptake at six months postpartum was 42·9% [95 % Confidence Interval: 42·6-43·3]. Several characteristics were associated with lower uptake: living in the most deprived area(OR = 0·78[0·74-0·83]); being < 25 years-old (reference age group 25-29;≤17: 0.53 [0·31-0·90];18-24: 0.73[0·69-0·78]); smoking (0·65[0·62-0·68]); obesity (0·93[0·89-0·97]); caesarean delivery (0·95[0·92-0·99]). Factors associated with higher uptake included primiparity (1·30[1·26-1·34]); having followed the French recommendations for HIP screening (1·24[1·20-1·28]); insulin prescription (1·75[1·69-1·81]) and pre-eclampsia (1·30[1·19-1·42]). p < 0.01 is justified due to sample size.

CONCLUSION

Improving identification of factors affecting postpartum T2DM screening uptake, such as demographics, socioeconomic context and events during pregnancy, may lead to development of target interventions to aide adherence to screening regime and thereby diagnosis of women with prediabetes or diabetes, for whom secondary and tertiary prevention is crucial.

Prediction of postpartum prediabetes by machine learning methods in women with gestational diabetes mellitus

Early onset of type 2 diabetes and cardiovascular disease are common complications for women diagnosed with gestational diabetes. Prediabetes refers to a condition in which blood glucose levels are higher than normal, but not yet high enough to be diagnosed as type 2 diabetes. Currently, there is no accurate way of knowing which women with gestational diabetes are likely to develop postpartum prediabetes. This study aims to predict the risk of postpartum prediabetes in women diagnosed with gestational diabetes. Our sparse logistic regression approach selects only two variables - antenatal fasting glucose at OGTT and HbA1c soon after the diagnosis of GDM - as relevant, but gives an area under the receiver operating characteristic curve of 0.72, outperforming all other methods. We envision this to be a practical solution, which coupled with a targeted follow-up of high-risk women, could yield better cardiometabolic outcomes in women with a history of GDM.

Interventions to increase the uptake of postpartum diabetes screening among women with previous gestational diabetes: a systematic review and Bayesian network meta-analysis

OBJECTIVE

This study aimed to summarize the current interventions aimed at improving postpartum diabetes screening attendance and to compare their effectiveness.

DATA SOURCES

Literature searches were conducted in the Web of Science, Embase, Cochrane Library, CINAHL, and PubMed from inception to March 20, 2023.

STUDY ELIGIBILITY CRITERIA

Quantitative studies involving an intervention to increase postpartum diabetes screening attendance among women with gestational diabetes mellitus were included.

METHODS

The Joanna Briggs Institute checklists were used for the quality appraisal of the included studies. A Bayesian network meta-analysis was performed to synthesize the comparative effectiveness of the relevant interventions aimed at improving postpartum diabetes screening rates.

RESULTS

A total of 40 studies were included in this review with pooled data from 17,123 women. Studies included randomized controlled trials (n=11, including 3 US-based studies and 8 non-US-based studies) and nonrandomised studies (n=29, including 13 US-based studies and 16 non-US-based studies). Of the 14 studies that reported screening outcomes, 11 detected early type 2 diabetes at a rate ranging from 2.0% to 23.0%. The types of interventions identified included reminders (eg, postal letters, emails, and phone messages), educational interventions, screening methods and delivery, policy changes, antenatal groups, and multimodal interventions. Based on the network meta-analysis from randomized controlled trials, antenatal group intervention, which refers to antenatal patient education delivered in groups (1 US-based study), had the highest probability to be the most effective intervention (odds ratio, 10; 95% confidence interval, 1.6-77.0), followed by one-to-one educational intervention with written educational materials or counselling (odds ratio, 6.9; 95% confidence interval, 3.6-16.0). The results from nonrandomized studies indicated that flexible screening methods and delivery (2 US-based studies) had the greatest impact on screening uptake (odds ratio, 3.9; 95% confidence interval, 1.8-10.0), followed by educational interventions (1 US-based study and 2 non-US-based studies) with antenatal patient education and written educational materials (odds ratio, 3.4; 95% confidence interval, 1.9-6.3) and antenatal groups (odds ratio, 3.3; 95% confidence interval, 1.7-6.7).

CONCLUSION

The presented evidence suggests that antenatal patient education delivered in groups and offering more flexible screening methods were associated with the greatest increase in attendance. The multimodal interventions and reminders could still be important if they were more theoretically grounded and were more integrated into the healthcare system.

Prevalence of prediabetes and type 2 diabetes mellitus in south and southeast Asian women with history of gestational diabetes mellitus: Systematic review and meta-analysis

BACKGROUND

The burden of Gestational Diabetes Mellitus (GDM) is very high in south Asia (SA) and southeast Asia (SEA). Thus, there is a need to understand the prevalence and risk factors for developing prediabetes and type 2 diabetes mellitus (T2DM) postpartum, in this high-risk population.

AIM

To conduct a systematic review and meta-analysis to estimate the prevalence of prediabetes and T2DM among the women with history of GDM in SA and SEA.

METHODS

A comprehensive literature search was performed in the following databases: Medline, EMBASE, Web of Knowledge and CINHAL till December 2021. Studies that had reported greater than six weeks of postpartum follow-up were included. The pooled prevalence of diabetes and prediabetes were estimated by random effects meta-analysis model and I2 statistic was used to assess heterogeneity.

RESULTS

Meta-analysis of 13 studies revealed that the prevalence of prediabetes and T2DM in post-GDM women were 25.9% (95%CI 18.94 to 33.51) and 29.9% (95%CI 17.02 to 44.57) respectively. Women with history of GDM from SA and SEA seem to have higher risk of developing T2DM than women without GDM (RR 13.2, 95%CI 9.52 to 18.29, p<0.001). The subgroup analysis showed a rise in the prevalence of T2DM with increasing duration of follow-up.

CONCLUSION

The conversion to T2DM and prediabetes is very high among women with history of GDM in SA and SEA. This highlights the need for follow-up of GDM women for early identification of dysglycemia and to plan interventions to prevent/delay the progression to T2DM.