Postpartum screening of women with GDM in specialised practices: Data from 12,991 women in the GestDiab register

Healthcare professionals' perceptions of barriers and facilitators to postpartum diabetes screening participation in women with gestational diabetes mellitus in China: A qualitative study

BACKGROUND

Women with a history of gestational diabetes mellitus (GDM) have a higher risk of developing type 2 diabetes (T2DM). Postpartum diabetes screening is usually recommended to identify glucose intolerance and introduce timely diabetes prevention strategies. However, the uptake of postpartum diabetes screening is suboptimal, especially in China, where GDM is prevalent. Healthcare professionals (HCPs) may offer unique insights into the challenges women face when attending screening, helping to develop interventions that improve uptake and fit in with routine clinical practice.

AIM

To explore HCPs' perceptions of barriers and facilitators to postpartum diabetes screening uptake.

METHODS

Online semi-structured interviews were conducted with HCPs recruited via online networks. The data were analysed using framework analysis and the socio-ecological model.

RESULTS

Eighteen HCPs, including obstetricians, midwives, nurses, nurse managers, and a dietician participated. Thirteen themes were generated across four levels (individual, interpersonal, organisational and policy). Individual level themes included: women's limited understanding, adherence and motivation; low diabetes risk awareness; and competing priorities. Interpersonal challenges involved communication and relationships between HCPs and women. Organizational barriers included workforce shortages, a lack of systemic GDM follow-up and care integration, and limited screening accessibility. At the policy level, GDM follow-up was not promoted nor prioritised.

CONCLUSION

HCPs have a vital role in improving patient education, postpartum follow-up and support after GDM to reduce long-term health risks. Strengthening HCP training in communication with women and improving continuity and integration of care could enhance GDM follow-up and prevent diabetes in women following GDM.

Postnatal glycaemic outcomes in women with high-risk gestational diabetes: Identifying key predictors for early intervention

AIMS

Women with gestational diabetes (GDM) have increased lifetime risk of developing diabetes. We aim to determine the factors contributing to poor adherence of the postpartum oral glucose tolerance test (OGTT) and identify key predictors to postpartum dysglycaemia in our Asian cohort.

METHODS

We conducted a retrospective cohort study of women with high-risk GDM (n = 561). High-risk women with GDM were defined as (1) women with diabetic-range glucose excursions on an antepartum OGTT, (2) women diagnosed GDM on early OGTT and (3) women requiring ≥20 units of insulin during antepartum period. We use logistic regression predictive models to associate maternal variables with postpartum OGTT attendance and glucose tolerance status postnatally.

RESULTS

Between March 2020 to March 2024, 58.7% (n = 329) of women returned for postpartum OGTT. Predictors for attendance of postpartum OGTT were Chinese ethnicity (odds ratio [OR] 2.11, 95% confidence interval [CI] [1.14-3.89]), pre-pregnancy body mass index (BMI) (OR 0.95 [95% CI 0.90-0.99]), first GDM (OR 2.34 [95% CI 1.39-3.96]) and 2-h glucose threshold on antepartum OGTT (OR 0.87 [95% CI 0.76-0.99]). Ethnicity influences postnatal dysglycaemia outcomes in our cohort. Chinese women, compared to women of Malay ethnicity, had a 4.5-odds of persistent postpartum dysglycaemia. An antenatal HbA1c of ≥5.7% and an elevated 2-h post-OGTT glucose value significantly predict postpartum dysglycaemia independent of ethnicity.

CONCLUSION

Ethnicity-specific prediction models integrating antepartum OGTT and HbA1c predict postpartum dysglycaemia in a multiethnic Southeast Asian cohort. Using these predictive models, we could identify high-risk patients for early intervention.

Pregestational BMI Over 23 kg/m2 May Increase Insulin Utilization in Gestational Diabetes Mellitus Patients

The purpose of this study is to examine the pregestational BMI value that results in insulin use in Japanese patients with gestational diabetes mellitus (GDM) and to assess whether the type of GDM treatment affects postpartum glucose tolerance. This retrospective study included 21 GDM patients treated until parturition at our department from 2013 to 2017. We calculated the pregestational BMI related to insulin treatment and the significant elevation in homeostasis model assessment of insulin resistance (HOMA-IR) by receiver operating characteristics curve (ROC) analysis. We also analyzed whether the insulin treatment caused a difference in postpartum glucose tolerance. Seven of the eight patients who needed insulin treatment had a pregestational BMI over 23 kg/m2. The pregestational BMI cutoff value related to insulin treatment was 22.5 kg/m2 (sensitivity 100%, specificity 46.2%, area under the curve 0.668, and Confidence Interval=0.429-0.907) in ROC analysis. Insulin utilization was significantly higher in the group with a pregestational BMI of 22.5 or more (p=0.045). HOMA-IR at postpartum was higher in patients whose pregestational BMI was 22.5kg/m2 or more. Blood glucose levels, HOMA-IR, homeostasis model assessment of β-cell function (HOMA-β), and the insulinogenic index (IGI) after delivery did not differ between the diet and insulin treatment groups. In conclusion, Japanese women with GDM and a pregestational BMI over 23 kg/m2 may increase the risk of requiring insulin treatment during pregnancy. Postpartum glucose tolerance did not differ between patients treated with diet or insulin treatment for GDM.

Evaluation of postpartum dysglycemia by serum glycosylated hemoglobin in patients with gestational diabetes mellitus: a national data analysis

PURPOSE

To assess the postpartum sensitivity and accuracy of serum HbA1c levels, compared to the gold standard of 75-g Oral Glucose Tolerance Test (OGTT), for diagnosis of dysglycemia in patients with a history of gestational diabetes mellitus (GDM).

METHODS

A nationwide retrospective analysis of individuals with a history of GDM and with records of both postpartum 2 h-OGTT and serum HbA1c measured anytime between delivery until 12 months post-delivery. Results were stratified into 3 different intervals: 0-3 months, 3-12 months, and > 12 months after delivery, according to the timing of both OGTT and HbA1c performance.

RESULTS

Between January 1st, 2015, until December 31st, 2021, a total of 55,119 individuals were screened, and 9,118 were diagnosed with GDM. Overall, 677 of the 9,118 individuals with GDM had laboratory results of both serum HbA1c levels and 2 h 75-gm-OGTT values after delivery. The overall Pearson correlation coefficient between HbA1c and 2 h-OGTT was 0.21 (P < 0.0001). However, when the OGTT results were stratified into 2 h-glucose values ≥ 200 mg/dL, a ROC curve yielded an Area Under the Curve (AUC) of 91.4% [95% CI: 83.9%-98.9%], with HbA1c levels of 5.7% yielding 80.0% sensitivity and 80.8% specificity (95% CI: 44.39-97.48%).

CONCLUSIONS

In patients with a recent diagnosis of GDM, serum HbA1c may be used as an auxiliary tool for postpartum diagnosis of dysglycemia.

Indications for the Postpartum Oral Glucose Tolerance Test—Data From the GestDiab Registry

BACKGROUND

Gestational diabetes mellitus (GDM) affects more than 50 000 pregnant women in Germany every year. In postpartum diabetes screening, a 75 g oral glucose tolerance test (OGT) is recommended. This is time-consuming and can have side effects, and only 40% of mothers take it. The determination of pre-test probabilities might obviate the need for OGT except in women who are at particular risk.

METHODS

We analyzed 5444 cases of GDM from the GestDiab registry over the period 2015-2019. The pretest probabilities of a postpartum diagnosis of diabetes mellitus (DM) or prediabetes were calculated on the basis of clinical variables including postpartum venous fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c).

RESULTS

In 0.77% of mothers with a history of GDM in whom DM was not detected by FPG or HbA1c, postpartum DM was diagnosed on the basis of the 2-hour value in the OGT. Individual estimation of the pre-test probability of a diagnosis by OGT of postpartum DM or prediabetes was possible with the aid of the FPG and HbA1c values and clinical predictors including insulin treatment during pregnancy, obesity, GDM diagnosed before 24 weeks of gestation, age over 35, and a 1-hour value in the diagnostic OGT during pregnancy of 180 mg/dL (10.0 mmol/L) or above. The pretest probability of postpartum DM in the study group ranged from 0.11% to 4.17%, and that of postpartum prediabetes from 6.4% to 16.3%.

CONCLUSION

The probability of a diagnosis of postpartum diabetes by OGT after GDM can be estimated in postpartum screening on the basis of various parameters. This enables risk-adapted counseling of the affected women along with a long-term strategy for diabetes prevention and follow-up. The findings of our study should be verified by further research.

COVID-19, Pregnancy, and Diabetes Mellitus

During the severe acute respiratory distress virus coronavirus type 2 (SARS-CoV-2) pandemic, many women were infected during their pregnancies. The SARS-CoV-2-induced coronavirus disease 19 (COVID-19) has an impact on maternal health and pregnancy outcomes; peripartum and perinatal morbidity and mortality are increased. Pregnancy is considered a risk factor for severe COVID-19 course. Additional risk factors during pregnancy are diabetes mellitus, gestational diabetes mellitus (GDM), and obesity. Systemic inflammation can lead to severe metabolic dysregulation with ketoacidosis. The endocrine pancreas is a target organ for SARS-CoV-2 and the fetal risk depends on inflammation of the placenta. Up to now there is no evidence that SARS-CoV-2 infection during pregnancy leads to permanent diabetes in mothers or their offspring via triggering autoimmunity or beta cell destruction. The frequently observed increased prevalence of GDM compared to the years before the pandemic is most likely due to changed lifestyle during lockdown. Furthermore, severe COVID-19 may be associated with the development of GDM due to worsening of glucose tolerance. Vaccination with a mRNA vaccine is safe and highly effective to prevent infection and to reduce hospitalization. Registries support offering evidence-based recommendations on vaccination for pregnant women. Even with the current omicron virus variant, there are increased risks for symptomatic and unvaccinated pregnant women.

Adverse perinatal outcomes in gestational diabetes mellitus with and without SARS-CoV-2 infection during pregnancy: results from two nationwide registries in Germany

INTRODUCTION

Pregnancy is a known independent risk factor for a severe course of COVID-19. The relationship of SARS-CoV-2 infection and gestational diabetes mellitus (GDM) on neonatal outcomes is unclear. Our aim was to determine if SARS-CoV-2 infection represents an independent risk factor for adverse perinatal outcomes in pregnancy with GDM.

RESEARCH DESIGN AND METHODS

We compared data from two German registries including pregnant women with GDM, established during the SARS-CoV-2 pandemic (COVID-19-Related Obstetric and Neonatal Outcome Study (CRONOS), a multicenter prospective observational study) and already existing before the pandemic (German registry of pregnant women with GDM; GestDiab). In total, 409 participants with GDM and SARS-CoV-2 infection and 4598 participants with GDM, registered 2018-2019, were eligible for analyses. The primary fetal and neonatal outcomes were defined as: (1) combined: admission to neonatal intensive care unit, stillbirth, and/or neonatal death, and (2) preterm birth before 37+0 weeks of gestation. Large and small for gestational age, maternal insulin therapy, birth weight >4500 g and cesarean delivery were considered as secondary outcomes.

RESULTS

Women with SARS-CoV-2 infection were younger (32 vs 33 years) and had a higher median body mass index (28 vs 27 kg/m²). In CRONOS, more neonates developed the primary outcome (adjusted OR (aOR) 1.48, 95% CI 1.11 to 1.97) and were born preterm (aOR 1.50, 95% CI 1.07 to 2.10). Fasting glucose was higher in women in CRONOS versus GestDiab (5.4 vs 5.3 mmol/L) considering each 0.1 mmol/L increase was independently associated with a 5% higher risk of preterm birth among women in CRONOS only (aOR 1.05, 95% CI 1.01 to 1.09).

CONCLUSIONS

GDM with SARS-CoV-2 infection in pregnancy is associated with an increased risk of adverse fetal and neonatal outcomes as compared with GDM without SARS-CoV-2 infection.

Gestational diabetes mellitus, follow-up of future maternal risk of cardiovascular disease and the use of eHealth technologies-a scoping review

BACKGROUND

Globally, gestational diabetes mellitus complicates 1 in 6 pregnancies and increases future risk of type 2 diabetes and cardiovascular disease in the affected women. There is a lack of consensus on the optimal follow-up of these women. eHealth is emerging as a health care tool, but its practical utility and advantages over standard care in the follow-up after pregnancy complications remains to be determined. Our aim was to systematically review the existing literature on cardiovascular follow-up after gestational diabetes, the utility of eHealth technology for this purpose, and to identify research gaps.

METHODS

We performed a systematic scoping review following a published protocol and the Joanna Briggs methodology for studies up until May 2022. Four databases were searched: Ovid MEDLINE, Embase, Maternity and Infant Care, and Cochrane Database of Systematic Reviews. Primary research articles and systematic reviews were included in the final analyses. Two reviewers independently screened abstracts and performed full text assessment. Data was extracted using a data charting form. In all stages of the process, if consensus was not reached, a third reviewer was consulted. The findings from the data charting process provided the basis for summarizing the findings from the included studies.

RESULTS

The search of the databases generated 2772 hits. After removing duplicates and manually adding a total of 19 studies, reviews, and guidelines, a total of 2769 titles and abstracts were screened, and 97 papers underwent full-text review. In the final analyses, 15 articles and 12 systematic reviews were included, whereas guidelines are presented as supplementary material. No studies were identified that examined follow-up regarding long-term overall cardiovascular risk after gestational diabetes. Various lifestyle interventions were tested for individual cardiovascular risk factors, with diverging effects. eHealth technologies were found acceptable by participants but had no consistent, statistically significant effect on relevant health outcomes.

CONCLUSIONS

This scoping review of the existing literature revealed neither an established systematic cardiovascular follow-up strategy for women after gestational diabetes nor evidence that eHealth technologies are superior to conventional follow-up. Further research into the utility of eHealth in cardiovascular follow-up after complicated pregnancies should include longer-term follow-up and core cardiovascular outcomes.

SYSTEMATIC REVIEW REGISTRATION

The protocol for this scoping review was published at Open Science Framework (osf.io/p5hw6).

Gestational diabetes in Germany-prevalence, trend during the past decade and utilization of follow-up care: an observational study

Gestational diabetes mellitus (GDM) is one of the most common medical complications in pregnancy. Information on key figures such as screening rates, prevalence of GDM or utilization of follow-up care and associated factors varies widely and is often lacking. The aim of our study is to provide information on screening rates for and prevalence of GDM as well as utilization of follow-up care in Germany. We used data (2010-2020) from a large, nationwide statutory health insurance containing information on inpatient and outpatient care, including diagnoses, medication and treatments. Descriptive analyses were performed to assess screening rates, prevalence of GDM and participation rates in follow-up care. A log-binomial regression model was calculated to analyze associated factors. Screening rates among pregnant women increased from 40.2% (2010) to 93.3% (2020) and prevalence from 9.4% (2010) to 15.1% (2020). The proportion of women attending follow-up care remained stable over time (around 42%). Age, educational level, insulin prescription, hypertension and obesity were positively associated with participation in follow-up care. Although over 90% of women in Germany are screened for GDM during pregnancy, follow-up care is used much less. Further research is needed to understand the trends in GDM healthcare (from screening to follow-up care) and the reasons for women's (non-)participation, as well as the attitudes and routines of the healthcare providers involved.

Prevention of Cardiovascular Disease in Women With Pregnancy-Related Risk Factors: A Prospective Women's Heart Clinic Study

Background Hypertensive disorders of pregnancy, gestational diabetes, and having a small-for-gestational-age baby are known to substantially increase a woman's risk of cardiovascular disease. Despite this, evidence for models of care that mitigate cardiovascular disease risk in women with these pregnancy-related conditions is lacking. Methods and Results A 6-month prospective cohort study assessed the effectiveness of a multidisciplinary Women's Heart Clinic on blood pressure and lipid control in women aged 30 to 55 years with a past pregnancy diagnosis of hypertensive disorders of pregnancy, gestational diabetes, or a small-for-gestational age baby in Melbourne, Australia. The co-primary end points were (1) blood pressure <140/90 mm Hg or <130/80 mm Hg if diabetes and (2) total cholesterol to high-density lipoprotein cholesterol ratio <4.5. The study recruited 156 women with a mean age of 41.0±4.2 years, 3.9±2.9 years from last delivery, 68.6% White, 20.5% South/East Asian, and 80.5% university-educated. The proportion meeting blood pressure target increased (69.2% to 80.5%, P=0.004), with no significant change in lipid targets (80.6% to 83.7%, P=0.182). Systolic blood pressure (-6.9 mm Hg [95% CI, -9.1 to -4.7], P<0.001), body mass index (-0.6 kg/m2 [95% CI, -0.8 to -0.3], P<0.001), low-density lipoprotein cholesterol (-4.2 mg/dL [95% CI, -8.2 to -0.2], P=0.042), and total cholesterol (-4.6 mg/dL [95% CI, -9.1 to -0.2] P=0.042) reduced. Heart-healthy lifestyle significantly improved with increased fish/olive oil (36.5% to 51.0%, P=0.012), decreased fast food consumption (33.8% to 11.0%, P<0.001), and increased physical activity (84.0% to 92.9%, P=0.025). Conclusions Women at high risk for cardiovascular disease due to past pregnancy-related conditions experienced significant improvements in multiple cardiovascular risk factors after attending a Women's Heart Clinic, potentially improving long-term cardiovascular disease outcomes. Registration URL: https://www.anzctr.org.au; Unique identifier: ACTRN12622000646741.

Models Predicting Postpartum Glucose Intolerance Among Women with a History of Gestational Diabetes Mellitus: a Systematic Review

PURPOSE OF REVIEW

Despite the crucial role that prediction models play in guiding early risk stratification and timely intervention to prevent type 2 diabetes after gestational diabetes mellitus (GDM), their use is not widespread in clinical practice. The purpose of this review is to examine the methodological characteristics and quality of existing prognostic models predicting postpartum glucose intolerance following GDM.

RECENT FINDINGS

A systematic review was conducted on relevant risk prediction models, resulting in 15 eligible publications from research groups in various countries. Our review found that traditional statistical models were more common than machine learning models, and only two were assessed to have a low risk of bias. Seven were internally validated, but none were externally validated. Model discrimination and calibration were done in 13 and four studies, respectively. Various predictors were identified, including body mass index, fasting glucose concentration during pregnancy, maternal age, family history of diabetes, biochemical variables, oral glucose tolerance test, use of insulin in pregnancy, postnatal fasting glucose level, genetic risk factors, hemoglobin A1c, and weight. The existing prognostic models for glucose intolerance following GDM have various methodological shortcomings, with only a few models being assessed to have low risk of bias and validated internally. Future research should prioritize the development of robust, high-quality risk prediction models that follow appropriate guidelines, in order to advance this area and improve early risk stratification and intervention for glucose intolerance and type 2 diabetes among women who have had GDM.

Diabetes detection in women with gestational diabetes and polycystic ovarian syndrome

Gestational diabetes mellitus (GDM) and polycystic ovarian syndrome (PCOS) represent two of the highest risk factors for development of type 2 diabetes mellitus in young women. As these increasingly common conditions generally affect younger women, early detection of dysglycemia is key if preventative measures are to be effective. While international guidance recommends screening for type 2 diabetes, current screening strategies suffer from significant challenges.First, guidance lacks consensus in defining which tests to use and frequency of monitoring, thereby sending mixed messages to healthcare professionals.Second, conformity to guidance is poor, with only a minority of women having tests at the recommended frequency (where specified). Approaches to improve conformity have focused on healthcare related factors (largely technology driven reminder systems), but patient factors such as convenience and clear messaging around risk have been neglected.Third, and most critically, current screening strategies are too generic and rely on tests that become abnormal far too late in the trajectory towards dysglycemia to offer opportunities for effective preventative measures. Risk factors show wide interindividual variation, and insulin sensitivity and β cell function are often abnormal during pre-diabetes stage, well before frank diabetes.New, consistent, targeted screening strategies are required that incorporate early, prevention focused testing and personalised risk stratification.

Evaluation of Nrg4 and thiol/disulfide homeostasis in patients with GDM

BACKGROUND

In this study, we aimed to evaluate the role of neuregulin4 (Nrg4) in the etiopathogenesis of gestational diabetes mellitus (GDM) and thiol/disulfide homeostasis as an indicator of oxidative stress.

METHODS

This prospective, case-control study included 34 women with diabetes and 34 healthy pregnant women who applied between January 2017 and January 2020. Levels of native and total thiol, disulfide and Nrg4 were measured in both diabetes mellitus and healthy pregnant groups.

RESULTS

When compared to the control group, the serum neuregulin4 levels in the diabetes group were considerably lower (3.22 ± 2.16 vs. 4.55 ± 0.96, p < 0.001). Native thiol (292.67 ± 43.65 vs. 366.40 ± 51.28; p < 0.001), total thiol (388.60 ± 46.60 vs. 414.52 ± 54.19; p < 0.001) levels and native thiol/total thiol ratio (75.51 ± 8.95 vs. 88.35 ± 3.54; p < 0.001) were lower in diabetes group compared to control group. Disulfide level (47.96 ± 19.52 vs. 24.06 ± 7.69) and disulfide/native thiol (17.13 ± 8.03, vs. 6.67 ± 2.30) and disulfide/total thiol (12.24 ± 4.47 vs. 5.82 ± 1.77) ratios were higher in diabetes group (all p < 0.001).

CONCLUSIONS

We suggested that decreased Nrg4 level and impaired oxidative stress parameters may be related with the increased risk of diabetes. However, we did not found a correlation between the Nrg4 and oxidative stress parameters.

Barriers to and enablers of type 2 diabetes screening among women with prior gestational diabetes: A qualitative study applying the Theoretical Domains Framework

Introduction

Women with previous gestational diabetes mellitus (GDM) are at increased risk of type 2 diabetes (T2D). Guidelines recommend postnatal diabetes screening (oral glucose tolerance test or HbA1c) typically 6-12 weeks after birth, with screening maintained at regular intervals thereafter. Despite this, around half of women are not screened, representing a critical missed opportunity for early identification of prediabetes or type 2 diabetes. While policy and practice-level recommendations are comprehensive, those at the personal-level primarily focus on increasing screening knowledge and risk perception, potentially missing other influential behavioral determinants. We aimed to identify modifiable, personal-level factors impacting postpartum type 2 diabetes screening among Australian women with prior gestational diabetes and recommend intervention functions and behavior change techniques to underpin intervention content.

Research design and methods

Semi-structured interviews with participants recruited via Australia's National Gestational Diabetes Register, using a guide based on the Theoretical Domains Framework (TDF). Using an inductive-deductive approach, we coded data to TDF domains. We used established criteria to identify 'important' domains which we then mapped to the Capability, Opportunity, Motivation-Behavior (COM-B) model.

Results

Nineteen women participated: 34 ± 4 years, 19 ± 4 months postpartum, 63% Australian-born, 90% metropolitan, 58% screened for T2D according to guidelines. Eight TDF domains were identified: 'knowledge', 'memory, attention, and decision-making processes', 'environmental context and resources', 'social influences', 'emotion', 'beliefs about consequences', 'social role and identity', and 'beliefs about capabilities'. Study strengths include a methodologically rigorous design; limitations include low recruitment and homogenous sample.

Conclusions

This study identified numerous modifiable barriers and enablers to postpartum T2D screening for women with prior GDM. By mapping to the COM-B, we identified intervention functions and behavior change techniques to underpin intervention content. These findings provide a valuable evidence base for developing messaging and interventions that target the behavioral determinants most likely to optimize T2D screening uptake among women with prior GDM. .

Improvement of Glycaemia and Endothelial Function by a New Low-Dose Curcuminoid in an Animal Model of Type 2 Diabetes

Curcumin has been suggested as a promising treatment for metabolic diseases, but the high doses required limit its therapeutic use. In this study, a new curcuminoid is synthesised to increase curcumin anti-inflammatory and antioxidant potential and to achieve hypoglycaemic and protective vascular effects in type 2 diabetic rats in a lower dose. In vitro, the anti-inflammatory effect was determined through the Griess reaction, and the antioxidant activity through ABTS and TBARS assays. In vivo, Goto-Kakizaki rats were treated for 2 weeks with the equimolar dose of curcumin (40 mg/kg/day) or curcuminoid (52.4 mg/kg/day). Fasting glycaemia, insulin tolerance, plasma insulin, insulin signalling, serum FFA, endothelial function and several markers of oxidative stress were evaluated. Both compounds presented a significant anti-inflammatory effect. Moreover, the curcuminoid had a marked hypoglycaemic effect, accompanied by higher GLUT4 levels in adipose tissue. Both compounds increased NO-dependent vasorelaxation, but only the curcuminoid exacerbated the response to ascorbic acid, consistent with a higher decrease in vascular oxidative and nitrosative stress. SOD1 and GLO1 levels were increased in EAT and heart, respectively. Altogether, these data suggest that the curcuminoid developed here has more pronounced effects than curcumin in low doses, improving the oxidative stress, endothelial function and glycaemic profile in type 2 diabetes.