Impact of continuous glucose monitoring on hospitalizations and glucose control in people with type 2 diabetes: real-world analysis.

AIM: The real-world benefits of continuous glucose monitoring (CGM) in the broad type 2 diabetes (T2D) population are not well studied. Our study evaluated the impact of CGM use on health care resource utilization over 12 months in adults with T2D. MATERIALS AND METHODS: This retrospective cohort analysis used Optum's de-identified Market Clarity data of >79 million people to evaluate CGM use in people with T2D who were treated with non-insulin (NIT), basal insulin (BIT) and prandial insulin therapy (PIT). The primary outcomes were changes in all-cause hospitalizations, acute diabetes-related hospitalizations and acute diabetes-related emergency room visits during the 6- and 12-month post-index period following transition from blood glucose monitoring to CGM. A pre-specified subgroup analysis assessed glucose control and medication changes among people with T2D over 1 year. RESULTS: The analysis included 74 679 adults with T2D (NIT; n = 25 269), (BIT; n = 16 264) and (PIT; n = 33 146). Significant reductions in all-cause hospitalizations, acute diabetes-related hospitalizations and acute diabetes-related emergency room visits were observed in the 6-month post-index period that were sustained during the 6-12 month post-index period (NIT, -10.1%, -31.0%, -30.7%; BIT, -13.9%, -47.6%, -28.2%; and PIT, -22.6%, -52.7%, -36.6%, respectively). A subgroup analysis of 6030 people showed mean glycated haemoglobin reductions at approximately 3 months, which were also sustained throughout the post-index period: NIT, -1.1 (0.05)%; BIT, -1.1 (0.06)%; and PIT, -0.9 (0.04)%, p < 0.0001. CONCLUSIONS: CGM use in real-life across different therapeutic regimens in adults with T2D was associated with reductions in health care resource utilization with improved glucose control over 1 year.

Efficacy, adherence and persistence of various glucagon-like peptide-1 agonists: nationwide real-life data.

AIM: The management of type 2 diabetes mellitus has advanced in the last two decades since the introduction of glucagon-like peptide-1 receptor agonists (GLP-1RAs). However, multiple factors may interfere with achieving better glycaemic control. This study evaluated the differences between various GLP-1RAs in efficacy, adherence and persistence. MATERIALS AND METHODS: We conducted a retrospective cohort study using the electronic medical database from Clalit Health Services. Adults with type 2 diabetes mellitus who purchased any GLP-1RA between 2009 and 2021 were included. The Index Date was defined as the date of the first purchase of any GLP-1RA. We evaluated the adherence, persistence and glycaemic control after GLP-1RAs initiation. Baseline glycaemic and post-treatment glycaemic controls were analysed. RESULTS: In total, 70 654 patients were included. The mean age was 11.7 ± 60.4, and 51% were females. A significant reduction in glycated haemoglobin (HbA1c) was observed in all patients who received GLP-1RAs. However, the percentage of changes in the HbA1c was higher among weekly GLP-1RA than daily initiators (14.6% vs. 10.2%, p < 0.001). The proportion of subjects with any decrease in HbA1c was higher among the once-weekly compared with the daily dose (82.4% vs. 74.7%) and mainly patients initiated semaglutide or dulaglutide, with 16.0% and 14.7% reduction. The frequency of good adherence (the proportion of days covered ≥80%) was significantly higher among the weekly group odds ratio = 1.25 (95% confidence interval 1.21-1.28). Good adherence was reported in older age, female gender, Jewish ethnicity and high socio-economic status (p < 0.001). CONCLUSIONS: Weekly GLP-1RAs initiators were more adherent, persistent to therapy and achieved better glycaemic control. Epidemiological variables might play a role in achieving this goal.

Patients with diabetes struggling to afford food and control their HbA1c in food-insecure areas in Bronx, NY.

OBJECTIVE: To characterise the association between risk of poor glycaemic control and self-reported and area-level food insecurity among adult patients with type 2 diabetes. DESIGN: We performed a retrospective, observational analysis of cross-sectional data routinely collected within a health system. Logistic regressions estimated the association between glycaemic control and the dual effect of self-reported and area-level measures of food insecurity. SETTING: The health system included a network of ambulatory primary and speciality care sites and hospitals in Bronx County, NY. PARTICIPANTS: Patients diagnosed with type 2 diabetes who completed a health-related social need (HRSN) assessment between April 2018 and December 2019. RESULTS: 5500 patients with type 2 diabetes were assessed for HRSN with 7·1 % reporting an unmet food need. Patients with self-reported food needs demonstrated higher odds of having poor glycaemic control compared with those without food needs (adjusted OR (aOR): 1·59, 95 % CI: 1·26, 2·00). However, there was no conclusive evidence that area-level food insecurity alone was a significant predictor of glycaemic control (aOR: 1·15, 95 % CI: 0·96, 1·39). Patients with self-reported food needs residing in food-secure (aOR: 1·83, 95 % CI: 1·22, 2·74) and food-insecure (aOR: 1·72, 95 % CI: 1·25, 2·37) areas showed higher odds of poor glycaemic control than those without self-reported food needs residing in food-secure areas. CONCLUSIONS: These findings highlight the importance of utilising patient- and area-level social needs data to identify individuals for targeted interventions with increased risk of adverse health outcomes.

Prevalence of and factors associated with suboptimal glycemic control among patients with type 2 diabetes mellitus attending public hospitals in the Greater Male' Region, Maldives: a hospital-based cross-sectional study.

BACKGROUND: Suboptimal glycemic control of type 2 diabetes mellitus (T2DM) which is defined as having HbA1c greater than 7% is a major public health problem in several countries, including the Maldives. The study aimed to estimate the prevalence and determine factors associated with suboptimal glycemic control among T2DM patients. METHODS: A hospital-based cross-sectional was applied to collect data from T2DM patients who attended public hospitals in the Greater Male' Region, Maldives where were one of the highest reports of T2DM and suboptimal glycemic control cases in the country between January to March 2023 by a validated questionnaire and anthropometric measurements. Five (5) ml blood specimens were collected to measure the glycated hemoglobin (HbA1c) level. Univariable and multivariable logistic regressions were employed to determine factors associated with suboptimal glycemic control of T2DM at a significant level of α = 0.05. RESULTS: A total of 341 participants were recruited for the study: 65.7% were female, 42.5% were aged 40-60 years, and 42.2% were married. The overall prevalence of suboptimal glycemic control was 50.7%. Ten variables were found to be associated with suboptimal glycemic control in multivariable logistic regression. Those aged 40-60 years (AOR = 3.35, 95% CI = 1.78-6.30), being single (AOR = 2.53, 95% CI = 1.21-5.30), preparation of food using more than three tablespoons of cooking oil (AOR = 2.78, 95% CI = 1.46-5.28), preparation of food with more than three tablespoons of sugar (AOR = 2.55, 95% CI = 1.31-4.93), no exercise (AOR = 2.04, 95% CI = 1.15-3.61), DM diagnosed with more than twenty years prior (AOR = 2.59, 95% CI = 1.34-4.99), obese body mass index (BMI) (AOR = 3.82, 95% CI = 1.75-8.32), high total cholesterol (AOR = 2.43, 95% CI = 1.36-4.35), high triglycerides (AOR = 3.43, 95% CI = 1.93-6.11), and high-level stress (AOR = 2.97, 95% CI = 1.48-5.93) were having a greater odds of having suboptimal glycemic control than those who did not have these characteristics. CONCLUSION: A large proportion of T2DM patients in the Greater Male' Region fail to control their blood glucose. Effective public health interventions should be introduced, especially interventions focused on reducing cooking oil and sugar in daily cooking practices, encouraging regular exercise, and maintaining cholesterol levels, particularly for those diagnosed with diabetes mellitus for more than 20 years prior.

Risk predictors of glycaemic control in children and adolescents with type 1 diabetes: A systematic review and meta-analysis.

OBJECTIVES: To conduct systematic evaluation of the risk predictors of glycaemic control in children and adolescents with type 1 diabetes mellitus. METHODS: Cohort studies on risk predictors of glycaemic control in children and adolescents with type 1 diabetes were retrieved from CNKI, PubMed, Web of Science, Embase databases, etc. from the construction of the repository to 3 February 2023. Literature screening was conducted according to inclusion and exclusion criteria, then data extraction of region, sample size, age, follow-up time, risk predictors, outcome indicators, etc., and quality evaluation of The Newcastle-Ottawa Scale were conducted by two researchers while the third researcher makes decisions if there are disagreements. Finally, Revman5.4 and StataMP17 were used for meta-analysis. RESULTS: A total of 29 studies were included, and the results showed that insulin pump [Weighed mean difference (WMD) = -.48, 95% CI (-.73, -.24), p < .01], high-frequency sensor monitoring, early use of insulin pumps, prospective follow-up male, white race, large body mass index-standardised scoring, conscientiousness, agreeableness of mothers, eicosapentaenoic acid, leucine and protein (p < .05) were beneficial for reducing HbA1c levels in children and adolescents with diabetes. Ketoacidosis [WMD = .39, 95% CI (.28, .50), p < .01], selective admission, higher HbA1c level at one time (p < .01), higher glutamate decarboxylase antibody at 1 month after diagnosis, lower socio-economic status, non-living with biological parents, non-two-parent family, family disorder, family history of diabetes and high carbohydrate intake (p < .05) increased HbA1c levels in children and adolescents with diabetes. CONCLUSION: For children and adolescents with type 1 diabetes mellitus, the use of insulin pump, high-frequency sensor monitoring, prospective follow-up, good family support and reasonable diet are conducive to blood glucose control, while selective admission and DKA are not. Disease characteristics and demographic characteristics of children are closely related to subsequent blood glucose control, and the relationship between diagnosis age and blood glucose control needs to be further explored.

Role of Caregivers in Remote Management of Patients With Type 2 Diabetes Mellitus: Systematic Review of Literature.

BACKGROUND: With the growing use of remote monitoring technologies in the management of patients with type 2 diabetes mellitus (T2DM), caregivers are becoming important resources that can be tapped into to improve patient care. OBJECTIVE: This review aims to summarize the role of caregivers in the remote monitoring of patients with T2DM. METHODS: We performed a systematic review in MEDLINE, Embase, Scopus, PsycINFO, and Web of Science up to 2022. Studies that evaluated the role of caregivers in remote management of adult patients with T2DM were included. Outcomes such as diabetes control, adherence to medication, quality of life, frequency of home glucose monitoring, and health care use were evaluated. RESULTS: Of the 1198 identified citations, 11 articles were included. The majority of studies were conducted in North America (7/11, 64%) and South America (2/11, 18%). The main types of caregivers studied were family or friends (10/11, 91%), while the most common remote monitoring modalities evaluated were interactive voice response (5/11, 45%) and phone consultations (4/11, 36%). With regard to diabetes control, 3 of 6 studies showed improvement in diabetes-related laboratory parameters. A total of 2 studies showed improvements in patients' medication adherence rates and frequency of home glucose monitoring. Studies that evaluated patients' quality of life showed mixed evidence. In 1 study, increased hospitalization rates were noted in the intervention group. CONCLUSIONS: Caregivers may play a role in improving clinical outcomes among patients with T2DM under remote monitoring. Studies on mobile health technologies are lacking to understand their impact on Asian populations and long-term patient outcomes.

Disparities in Food Security and Glycemic Control Among People with Type 2 Diabetes During the COVID-19 Pandemic.

Background: Little is known about the differing impacts of food insecurity on HbA1c by race in type 2 diabetes (T2D). Predictions around increased food insecurity from COVID-19 exacerbating racial disparities led us to estimate its prevalence and associations with HbA1c by race during the COVID-19 pandemic. Methods: Data came from medical records and surveys among a clinic-based sample of T2D patients. Linear regression models estimated associations between food insecurity and HbA1c and between change in food insecurity and change in HbA1c. Likelihood ratio tests and examination of stratum-specific estimates assessed effect modification by race. Results: Our sample was 59% White, 59% female, and mean age was 60.8 ± 12.6. During the pandemic, food insecurity prevalence and HbA1c were significantly (p < .05) higher among non-Whites (39%, 8.4% ± 2.1) compared to Whites (15%, 7.8% ±1.6). HbA1c among those who were very food insecure was 1.00% (95% CI: 0.222, 1.762, p = .01) higher than those who were food secure. Those with increased food insecurity had a 0.58% (95% CI: 0.024, 1.128, p = .04) higher HbA1c increase than among those experiencing no change. No effect modification was detected. Limitations: Convenience sampling in an endocrinology clinic, recall bias, and inadequate power may underlie null effect modification results. Conclusion: Although effect modification was not detected, racial disparities in HbA1c and food insecurity warrant further investigation. These disparities, combined with the significant impact of food insecurity on HbA1c, suggest that prioritization of resources to high-risk populations should be considered early during public emergencies to minimize short- and long-term health consequences.

The change in glycaemic control immediately after COVID-19 vaccination in people with type 1 diabetes.

AIMS: Evidence suggests that some people with type 1 diabetes mellitus (T1DM) experience temporary instability of blood glucose (BG) levels after COVID-19 vaccination. We aimed to assess this objectively. METHODS: We examined the interstitial glucose profile of 97 consecutive adults (age ≥ 18 years) with T1DM using the FreeStyle Libre® flash glucose monitor in the periods immediately before and after their first COVID-19 vaccination. The primary outcome measure was percentage (%) interstitial glucose readings within the target range 3.9-10 mmol/L for 7 days prior to the vaccination and the 7 days after the vaccination. Data are mean ± standard error. RESULTS: There was a significant decrease in the % interstitial glucose on target (3.9-10.0) for the 7 days following vaccination (mean 52.2% ± 2.0%) versus pre-COVID-19 vaccination (mean 55.0% ± 2.0%) (p = 0.030). 58% of individuals with T1DM showed a reduction in the 'time in target range' in the week after vaccination. 30% showed a decrease of time within the target range of over 10%, and 10% showed a decrease in time within target range of over 20%. The change in interstitial glucose proportion on target in the week following vaccination was most pronounced for people taking metformin/dapagliflozin + basal bolus insulin (change -7.6%) and for people with HbA1c below the median (change -5.7%). CONCLUSION: In T1DM, we have shown that initial COVID-19 vaccination can cause temporary perturbation of interstitial glucose, with this effect more pronounced in people talking oral hypoglycaemic medication plus insulin, and when HbA1c is lower.

Evaluation of glycemic control and related factors among outpatients with type 2 diabetes at Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia: a cross-sectional study.

BACKGROUND: The goals of glycemic management for patients with diabetes are to prevent or delay complications and optimize quality of life. However, in clinical practice, the recommended glycemic control target is difficult to achieve. Therefore, it is important to identify factors that influence the outcomes of glycemia to improve the quality of diabetic management. The study aimed to evaluate the level and factors associated with glycemic control among type 2 diabetic outpatients at Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia. METHODS: A hospital-based cross-sectional study was conducted among systematically selected 325 patients with type 2 diabetes who attended diabetic clinics at Tikur Anbessa Specialized Hospital. Pretested, structured, and interviewer-administered questionnaires were used to collect sociodemographic and diabetes-related information from March 1 to May 30, 2021. HbA1c was used to assess glycemic control according to the HbA1c target of < 7% ('good' control) as recommended by the American Diabetes Association for non-pregnant adults. The HbA1c level in the range of 7-8% was defined as 'inadequate' control and 'poor' at levels > 8%. Data entry and analysis were performed using SPSS v26. Multivariate logistic regression analysis was used to identify determinants of glycemic control. RESULTS: The median level of HbA1c of the participants was 8.4% (IQR 6.8-10.1). And approximately three-quarters (73.8%) of the patients had inadequate and poor glycemic control (HbA1c ≥ 7%). Older age (AOR: 2.46, 95% CI: 1.28-6.01), DM duration of > 10 years (AOR: 3.15, 95% CI: 2.22-6.54), insulin therapy (AOR: 3.07, 95% CI: 2.10-6.12), poor diet compliance (AOR: 1.97, 95% CI: 1.28-3.52) and failure to set goals for glycemic control (AOR: 3.42, 95% CI: 2.17-5.97) were factors associated with inadequate and poor glycemic control. CONCLUSIONS: The study revealed that a significant number of diabetic patients had inadequate and poor glycemic control levels. And this was associated with older age, longer duration of DM, insulin therapy, poor diet compliance, and failure to set control goals. This requires a focus on the associated factors identified and tailored management mechanisms to maintain good glycemic control.

Impact of high glucose levels and glucose lowering on risk of ischaemic stroke: a Mendelian randomisation study and meta-analysis.

AIMS/HYPOTHESIS: It is unclear whether glucose per se has a causal impact on risk of stroke and whether glucose-lowering drugs reduce this risk. This is important for the choice of treatment for individuals at risk. We tested the hypotheses that high plasma glucose has a causal impact on increased risk of ischaemic stroke, and that glucose-lowering drugs reduce this risk. METHODS: Using a Mendelian randomisation design, we examined 118,838 individuals from two Copenhagen cohorts, the Copenhagen General Population Study and the Copenhagen City Heart Study, and 440,328 individuals from the MEGASTROKE study. Effects of eight glucose-lowering drugs on risk of stroke were summarised by meta-analyses. RESULTS: In genetic, causal analyses, a 1 mmol/l higher plasma glucose had a risk ratio of 1.48 (95% CI 1.04, 2.11) for ischaemic stroke in the Copenhagen studies. The corresponding risk ratio from the MEGASTROKE study combined with the Copenhagen studies was 1.74 (1.31, 2.18). In meta-analyses of glucose-lowering drugs, the risk ratio for stroke was 0.85 (0.77, 0.94) for glucagon-like peptide-1 receptor agonists and 0.82 (0.69, 0.98) for thiazolidinediones, while sulfonylureas, dipeptidyl peptidase-4 inhibitors, sodium-glucose cotransporter 2 inhibitors, α-glucosidase inhibitors, meglitinides and metformin individually lacked statistical evidence of an effect on stroke risk. CONCLUSIONS/INTERPRETATION: Genetically high plasma glucose has a causal impact on increased risk of ischaemic stroke. Treatment with glucose-lowering glucagon-like peptide-1 receptor agonists and thiazolidinediones reduces this risk. These results may guide clinicians in the treatment of individuals at high risk of ischaemic stroke.

Impact of flash glucose monitoring on glucose control and hospitalization in type 1 diabetes: A nationwide cohort study.

BACKGROUND: We evaluated the impact of flash continuous glucose monitoring (FCGM) on glycemic control and healthcare burden in a large real-world cohort of patients with type 1 diabetes (T1D) initiating FCGM technology. METHODS: In this retrospective cohort study, we included adults (age ≥18 years) with T1D from a large Health Maintenance Organization in Israel, who initiated FCGM during 2018. Primary outcomes included change in HbA1c ≥3 months following FCGM commencement and change in rate of internal-medicine hospitalization. Additional outcomes included changes in glucose test strip purchases, diabetes related outpatient health care visits and hospitalization for diabetic ketoacidosis (DKA) and/or severe hypoglycemia. RESULTS: The study included 3490 patients, followed for a median of 14 (inter-quartile range 11-15) months after FCGM commencement. Among 2682 patients with an HbA1c measured both at baseline and ≥3 months after FCGM initiation, average HbA1c declined from 8.1% ± 1.46% to 7.9% ± 1.31% (P < .001) at first measurement and was maintained during follow up. Specifically, in those with HbA1c ≥8%, a mean decline of 0.5% (P < .001) was observed. A clinically significant HbA1c reduction of ≥0.5% was experienced by 25.5% of the patients. The rate of internal medicine hospitalization, visits to primary care, or visits to endocrine/diabetes specialists in the period following FCGM commencement vs the 6 months prior was significantly reduced (P < .001). Hospitalization for DKA and/or hypoglycemia declined as well (P = .004). CONCLUSIONS: FCGM was associated with significant and durable improvement in glycemic control as well as reduced consumption of healthcare services.

Association between age at type 1 diabetes diagnosis and metabolic outcome at young adulthood: a real-life observational study.

BACKGROUND: Younger age at diagnosis of type 1 diabetes (T1D) may affect the clinical course and outcome. We examined whether age at diagnosis was associated with glycemic control and metabolic outcome in young adulthood. METHODS: This observational study included 105 young adults with T1D (current mean age: 21.2 ± 3.0 years, mean age at diagnosis 12.0 ± 4.0 years) followed during 2012 to 2019. Data on HbA1c, glucose variability, continuous glucose monitoring (CGM) metrics, body mass index (BMI), blood pressure (BP), and body composition were collected from medical records from age 18 years until last visit, and the association between age at diagnosis and outcomes was assessed. RESULTS: Age at T1D diagnosis was negatively associated with HbA1c levels (r = -0.368, P = .001), BMI (r = -0.218, P = .026), and diastolic BP (r = -0.215, P = .028). Younger age at diagnosis predicted poorer glycemic control after controlling for T1D duration, sex, socioeconomic status, BMI, and CGM use (r2 = 0.19, P = .002). There was a 0.1% greater HbA1c reduction for every yearly increase in age at diagnosis (ß = -0.090, P = .042). The mean metabolic age of females diagnosed at <10 years of age was older than their chronological age (P = .049). CONCLUSIONS: Younger age at T1D diagnosis predicts worse glycemic control at young adulthood, independent of recognized confounding risk factors (disease duration, sex, socioeconomic status, weight, and use of diabetes technology). Female patients diagnosed at a young age have an older metabolic age, indicating the need for lifestyle alteration to improve their basal metabolic rate.

Assessment of the effect of the COVID-19 lockdown on glycaemic control in people with type 1 diabetes using flash glucose monitoring.

AIM: To describe the effect of the stringent lockdown measures, introduced in the UK on 23 March 2020 to curtail the transmission of COVID-19, on glycaemic control in people with type 1 diabetes using flash glucose monitoring. METHODS: We undertook an observational study of 572 individuals with type 1 diabetes for whom paired flash glucose monitoring data were available between early March and May 2020. The primary outcome was change in flash glucose monitoring variables. We also assessed clinical variables associated with change in glycaemic control. RESULTS: Percentage of time in range increased between March and May 2020 [median (interquartile range) 53 (41-64)% vs 56 (45-68)%; P < 0.001], with associated improvements in standard deviation of glucose (P <0.001) and estimated HbA1c (P <0.001). There was a small reduction in the number of individuals meeting the hypoglycaemia target of <5% per day (64% vs 58%; P = 0.004). Comparing changes in flash glucose monitoring data from March to May in 2019 with the same period in 2020 confirmed that these differences were confined to 2020. Socio-economic deprivation was an independent predictor of a ≥5% reduction in time in range during lockdown (odds ratio 0.45 for people in the two most affluent Scottish Index of Multiple Deprivation quintiles; P <0.001). CONCLUSIONS: Lockdown was not associated with a significant deterioration in glycaemic control in people with type 1 diabetes using flash glucose monitoring. However, socio-economic deprivation appeared to increase the risk of decline in glycaemic control, which has implications for how support is focused in challenging times.

Plasma adipokines and glycaemic progression among African Americans: Findings from the Jackson Heart Study.

AIM: To evaluate the association between plasma biomarkers including leptin, adiponectin, adiponectin-to-leptin ratio and high-sensitivity C-reactive protein (hsCRP) with risk of glycaemic progression and incident dysglycaemia (pre-diabetes or diabetes) in a community-based sample of African American (AAs). METHODS: We analysed data from 3223 participants without type 2 diabetes at baseline (2000-2004) who attended ≥1 follow-up visit. Poisson regression was used to generate risk ratios (RRs) for glycaemic progression and incident dysglycaemia. RESULTS: Over a median of 7 years, 46.4% developed glycaemic progression (n=1495). After adjusting for demographic and lifestyle variables, the RRs (95% CI) for glycaemic progression comparing highest (Q4) to lowest (Q1) quartiles were 1.30 (1.10-1.54), 0.74 (0.65-0.84), 0.70 (0.62-0.80) and 1.22 (1.07-1.38) for leptin, adiponectin, adiponectin-leptin ratio and hsCRP, respectively. Upon additional adjustment for BMI, the corresponding RRs (95% CIs) were 1.15 (0.94-1.42), 0.76 (0.67-0.86), 0.72 (0.62-0.84) and 1.14 (0.99-1.31) respectively. Among participants with normal glycaemia, the RRs (95% CIs) for incident pre-diabetes in Q4 vs Q1 were 1.37 (1.13-1.67), 0.73 (0.63-0.85), 0.70 (0.59-0.82) and 1.28 (1.10-1.48) for leptin, adiponectin, adiponectin-leptin ratio and hsCRP, respectively; equivalent RRs for incident diabetes were 5.15 (2.63-10.10), 0.36 (0.20-0.68), 0.21 (0.12-0.38) and 3.04 (1.70-5.44), respectively. CONCLUSIONS: In this large community-based cohort of AAs, our results suggest that high plasma leptin and hsCRP, as well as low adiponectin and adiponectin-to-leptin ratio, are associated with higher risks of glycaemic progression. The findings point to the potential utility of these biomarkers in predicting and preventing glycaemic progression in this high-risk population.

Diabetes management during cardiac surgery in the UK: A survey.

AIM: To determine current practice regarding the diabetes management of people undergoing cardiac surgery in the UK. METHODS: We conducted an online survey of UK cardiothoracic surgeons. All cardiothoracic surgeons listed in the Society of Cardiothoracic Surgery membership directory were invited to participate. The survey, compiled using SurveyMonkey software, comprised 15 closed and open-ended questions about the management of people with diabetes pre- and peri-operatively. RESULTS: Sixty-two cardiothoracic surgeons from all 33 UK cardiac centres completed the survey. Of these, 44% responded that they routinely measure HbA1c preoperatively for all patients, 19% had an HbA1c threshold above which they would not operate and 21% currently undertake a point-of-care HbA1c measurement during the cardiothoracic outpatient visit. A total of 74% of respondents reported that it was 'easy' or 'very easy' to obtain a diabetes team review; diabetes nurse specialists were the members of the diabetes team working most closely with cardiac surgeons. Up to a third of the surgeons did not provide physical activity recommendations prior to admission and over 80% did not have a different preoperative or surgical diabetes protocol. Inconsistency in the responses within centres suggests that differences in practice may depend on individual surgeons rather than local policy. CONCLUSIONS: The study demonstrates there is only limited peri-operative management of diabetes in people undergoing cardiac surgery in the UK. There is an opportunity for greater involvement of the diabetes specialist team both before and during admission for surgery to improve outcomes. (Trial registration: ISRCTN10170306).

Association between glycaemic outcome and BMI in Danish children with type 1 diabetes in 2000-2018: a nationwide population-based study.

AIM: To describe the development of HbA1c and BMI over time in Danish children with type 1 diabetes; and to investigate the association between HbA1c and BMI including influence of age, gender, diabetes duration, severe hypoglycaemia and treatment method. METHODS: We used the nationwide Danish Registry of Childhood and Adolescent Diabetes, DanDiabKids, including annual registrations of all children with diabetes treated at Danish hospitals. With linear mixed-effects models and splines we analyzed the HbA1c and BMI development over time as well as the association between HbA1c and BMI including effects of gender, age, disease duration, hypoglycaemia and treatment method. BMI z-scores were calculated for these analyses. RESULTS: For the period from 2000 to 2018, 6097 children with type 1 diabetes were identified from the DanDiabKids database. The median (interquartile range) HbA1c level was 65 (57-74) mmol/mol (8.1%) and the median BMI z-score was 0.85 in girls and 0.67 in boys. A non-linear association was found between HbA1c and BMI z-score, with the highest BMI z-score observed for HbA1c values in the range of approximately 60-70 mmol/mol (7.6-6.8%). The association was modified by gender, age and diabetes duration. Severe hypoglycaemia and insulin pump treatment had a small positive impact on BMI z-score. CONCLUSION: The association between HbA1c and BMI z-score was non-linear, with the highest BMI z-score being observed for intermediate HbA1c levels; however, specific patterns depended on gender, age and diabetes duration.

Association of habits, triggers, glycaemic control, routines, stress and impulse control among emerging adults with type 1 diabetes.

AIM: Glycaemic control is known to be poor among emerging adults with type 1 diabetes, but the reasons for this are poorly understood. Examination of diabetes self-management-related habits, triggers and daily routines within the context of impulse control and perceived daily stress may provide increased understanding of glycaemic control during this transitional period. This study examined associations among checking blood glucose (CBG) habits, eating a meal (EAM) habits and glycaemic control within the context of CBG triggers, daily routines, impulse control and perceived daily stress, in emerging adults with type 1 diabetes. METHODS: A cross-sectional convenience sample of 100 emerging adults with type 1 diabetes was recruited from an outpatient diabetes care clinic for this age group. Participants self-reported frequency of CBG and EAM habits, CBG triggers, daily routines, perceived daily stress and impulse control. Glycaemic control values were obtained from medical records. Path analysis was performed. RESULTS: Better glycaemic control was positively and significantly associated with greater frequency of CBG and EAM habits. CBG habits were positively and significantly associated with CBG triggers and EAM habits. EAM habits were positively and significantly associated with daily routines. CONCLUSIONS: We suggest interventional research targeting CBG and EAM habits and daily routines to examine the impact on diabetes self-management and glycaemic control.

Continuous glucose monitoring: A review of the evidence in type 1 and 2 diabetes mellitus.

CONTEXT AND AIM: Continuous glucose monitoring (CGM) is becoming widely accepted as an adjunct to diabetes management. Compared to standard care, CGM can provide detailed information about glycaemic variability in an internationally standardised ambulatory glucose profile, enabling more informed user and clinician decision making. We aimed to review the evidence, user experience and cost-effectiveness of CGM. METHODS: A literature search was conducted by combining subject headings 'CGM' and 'flash glucose monitoring', with key words 'type 1 diabetes' and 'type 2 diabetes', limited to '1999 to current'. Further evidence was obtained from relevant references of retrieved articles. RESULTS: There is a strong evidence for CGM use in people with type 1 diabetes, with benefits of reduced glycated haemoglobin and hypoglycaemia, and increased time in range. While the evidence for CGM use in type 2 diabetes is less robust, similar benefits have been demonstrated. CGM can improve diabetes-related satisfaction in people with diabetes (PWD) and parents of children with diabetes, as well as the clinician experience. However, CGM does have limitations including cost, accuracy and perceived inconvenience. Cost-effectiveness analyses have indicated that CGM is a cost-effective adjunct to type 1 diabetes management that is associated with reduced diabetes-related complications and hospitalisation. CONCLUSIONS: Continuous glucose monitoring is revolutionising diabetes management. It is a cost-effective adjunct to diabetes management that has the potential to improve glycaemic outcomes and quality of life in PWD, especially type 1 diabetes.

Prevalence of anxiety and depression symptoms in pregnant women with type 2 diabetes and the impact on glycaemic control.

AIMS: To study the prevalence of anxiety and depression symptoms in pregnant women with type 2 diabetes compared with pregnant women without diabetes. Secondly, to explore whether anxiety and/or depression symptoms in early pregnancy have an impact on glycaemic control and gestational weight gain. METHODS: A prospective cohort study of 90 consecutive singleton pregnant women with type 2 diabetes and 88 singleton pregnant women without diabetes. All women completed the Hospital Anxiety and Depression Scale questionnaire in early and late pregnancy. A score ≥8 in the anxiety or the depression scale was used to define anxiety and/or depression symptoms. RESULTS: Anxiety and/or depression symptoms were present in 40% of women with type 2 diabetes and 7% of women without diabetes in early pregnancy (Relative Risk = 5.87 (95% Confidence Interval: 2.60-13.22)). The figures were similar in late pregnancy. In women with type 2 diabetes and anxiety and/or depression symptoms in early pregnancy, HbA1c (mean ± SD) was 52 ± 14 vs. 49 ± 11 mmol/mol (6.9 ± 1.2 vs. 6.6 ± 1.0%), p = 0.31 in early pregnancy and 43 ± 8 vs. 40 ± 4 mmol/mol (6.1 ± 0.7 vs. 5.8 ± 0.4%), p = 0.04 in late pregnancy compared with women without symptoms. Gestational weight gain was similar in both groups. CONCLUSIONS: In women with type 2 diabetes, 40% had anxiety and/or depression symptoms in early pregnancy. Women with these symptoms obtained less optimal glycaemic control in late pregnancy but similar gestational weight gain as the remaining women.

Socioeconomic deprivation, technology use, C-peptide, smoking and other predictors of glycaemic control in adults with type 1 diabetes.

AIMS: Intensive glycaemic control is associated with substantial health benefits in people with type 1 diabetes. We sought to examine clinical and demographic factors associated with meeting glycaemic targets in type 1 diabetes. METHODS: We conducted a cross-sectional analysis of 4594 individuals with type 1 diabetes. The primary outcome of the study was assessing factors associated with meeting HbA1c targets. Secondary endpoints included factors associated with continuous subcutaneous insulin infusion (CSII) use and persistent C-peptide secretion. RESULTS: Socioeconomic deprivation was strongly associated with a lower likelihood of achieving an HbA1c <58 mmol/mol (7.5%) (20% in the most deprived quintile vs. 40% in the least deprived, p < 0.001). In multivariate analysis, absence of smoking history (OR 3.06, p < 0.001), flash monitoring (OR 1.49, p < 0.001), CSII (1.43, p = 0.022) and longer diabetes duration (OR 1.02 per year, p = 0.004) were independently associated with achieving HbA1c <58 mmol/mol (7.5%), whereas increasing age (OR 0.99 per year, p = 0.004) and C-peptide <50 pM (OR 0.58, p < 0.001) were associated with a lower likelihood of meeting this target. Low C-peptide (<50 pM) was less likely in men (OR 0.55, p < 0.001) and never smokers (0.44, p < 0.001) in multivariate analysis. CONCLUSIONS: Lower levels of deprivation, non-smoking, higher C-peptide, technology use, lower BMI and male gender were all associated with a higher likelihood of meeting HbA1c targets. Access to proven diabetes treatments is lower in the most deprived individuals. Urgent efforts are required to provide treatments which are effective across the socioeconomic gradient.