Initiating or Switching to Insulin Degludec/Insulin Aspart in Adults with Type 2 Diabetes: A Real-World, Prospective, Non-interventional Study Across Six Countries.

INTRODUCTION: Insulin degludec/insulin aspart (IDegAsp) is a fixed-ratio co-formulation of insulin degludec (a basal insulin) and insulin aspart (a prandial insulin). The aim of this study was to investigate clinical outcomes in people with type 2 diabetes (T2D) after initiating IDegAsp treatment in a real-world setting. METHODS: This 26-week, open-label, non-interventional study was conducted in Australia, India, Malaysia, Philippines, Saudi Arabia, and South Africa. Data were obtained from 1102 adults with T2D initiating or switching to IDegAsp from antidiabetic treatments (including oral antidiabetic drugs, basal insulin, basal-bolus insulin, premix insulin, and glucagon-like peptide 1 receptor agonist) per local clinical practice. RESULTS: Compared with baseline, there was significant improvement in HbA1c at end of study (EOS, first visit within weeks 26-36; estimated change - 1.4% [95% CI - 1.51; - 1.29]; P < 0.0001 [primary outcome]). From baseline to EOS, there were significant reductions in fasting plasma glucose (- 2.7 mmol/L [95% CI - 2.98; - 2.46]; P < 0.0001), body weight (- 1.0 kg [95% CI - 1.51; - 0.52]; P < 0.0001), and basal insulin dose in insulin-experienced participants (- 2.3 units [95% CI - 3.51; - 1.01]; P < 0.001). The incidence rates of non-severe (overall and nocturnal) and severe hypoglycaemia decreased significantly (P < 0.001) between the period before baseline and before EOS. CONCLUSION: In adults with T2D, initiating or switching to IDegAsp from previous antidiabetic treatment was associated with improved glycaemic control, lower basal insulin dose (in insulin-experienced participants), and lower rates of hypoglycaemia. TRIAL REGISTRATION: Clinical trial registration NCT04042441.

Analysis of Serum Advanced Glycation Endproducts Reveals Methylglyoxal-Derived Advanced Glycation MG-H1 Free Adduct Is a Risk Marker in Non-Diabetic and Diabetic Chronic Kidney Disease.

Accumulation of advanced glycation endproducts (AGEs) is linked to decline in renal function, particularly in patients with diabetes. Major forms of AGEs in serum are protein-bound AGEs and AGE free adducts. In this study, we assessed levels of AGEs in subjects with and without diabetes, with normal renal function and stages 2 to 4 chronic kidney disease (CKD), to identify which AGE has the greatest progressive change with decline in renal function and change in diabetes. We performed a cross-sectional study of patients with stages 2-4 CKD, with and without diabetes, and healthy controls (n = 135). Nine protein-bound and free adduct AGEs were quantified in serum. Most protein-bound AGEs increased moderately through stages 2-4 CKD whereas AGE free adducts increased markedly. Methylglyoxal-derived hydroimidazolone MG-H1 free adduct was the AGE most responsive to CKD status, increasing 8-fold and 30-fold in stage 4 CKD in patients without and with diabetes, respectively. MG-H1 Glomerular filtration flux was increased 5-fold in diabetes, likely reflecting increased methylglyoxal glycation status. We conclude that serum MG-H1 free adduct concentration was strongly related to stage of CKD and increased in diabetes status. Serum MG-H1 free adduct is a candidate AGE risk marker of non-diabetic and diabetic CKD.

ARISE-a prospective, non-interventional, single-arm study assessing clinical parameters associated with the use of insulin degludec/insulin aspart in patients with type 2 diabetes in real-world settings: rationale and design.

PURPOSE: IDegAsp, a co-formulation of long-acting basal (insulin degludec) and rapid-acting bolus (insulin aspart) insulin, provides separate prandial and basal glucose-lowering effects with relatively low risk of hypoglycaemia. Its efficacy and safety have been investigated in a large clinical trial programme (BOOST). We present the rationale and design of the ARISE study, which aims to assess glycaemic control and other clinical parameters associated with IDegAsp use in real world. METHODS: ARISE is a ~26-wk-long, prospective, non-interventional, single-arm study of patients with type 2 diabetes (T2D) initiating IDegAsp treatment. Approximately 1112 patients with T2D aged ≥18 years previously on anti-hyperglycaemic drugs except IDegAsp will be enroled across six countries from 15 Aug 2019 to 12 Nov 2020. IDegAsp treatment will be initiated at the physicians' discretion and as per the local label. Key exclusion criteria include previous participation, or previous IDegAsp treatment. The primary and secondary endpoints are change in HbA1c from baseline (wk 0) to study end (wk 26-36) and the proportion of patients achieving the target HbA1c level of <7% at the study end, respectively. A mixed model for repeated measurements will analyse the primary endpoint. CONCLUSION: Between-country differences in the prescription patterns of glucose-lowering agents in people with T2D warrant examination of their clinical use in different geographical settings. The ARISE study is designed to assess the clinical use of IDegAsp from real world in six different countries. Findings from the ARISE study will supplement those of previous randomised controlled studies by establishing real-world evidence of IDegAsp use in the participating countries. TRIAL REGISTRATION: ClinicalTrials.gov, NCT04042441. Registered 02 August 2014, https://clinicaltrials.gov/ct2/show/NCT04042441.

Continuous subcutaneous insulin infusion alters microRNA expression and glycaemic variability in children with type 1 diabetes.

To determine whether continuous subcutaneous insulin infusion (CSII) vs. multiple daily injections (MDI) therapy from near-diagnosis of type 1 diabetes is associated with reduced glycaemic variability (GV) and altered microRNA (miRNAs) expression. Adolescents (74% male) within 3-months of diabetes diagnosis (n = 27) were randomized to CSII (n = 12) or MDI. HbA1c, 1-5-Anhydroglucitol (1,5-AG), high sensitivity C-peptide and a custom TaqMan qPCR panel of 52 miRNAs were measured at baseline and follow-up (median (LQ-UQ); 535 (519-563) days). There were no significant differences between groups in baseline or follow-up HbA1c or C-peptide, nor baseline miRNAs. Mean ± SD 1,5-AG improved with CSII vs. MDI (3.1 ± 4.1 vs. - 2.2 ± - 7.0 mg/ml respectively, P = 0.029). On follow-up 11 miRNAs associated with diabetes vascular complications had altered expression in CSII-users. Early CSII vs. MDI use is associated with lower GV and less adverse vascular-related miRNAs. Relationships with future complications are of interest.

Routine glucose assessment in the emergency department for detecting unrecognised diabetes: a cluster randomised trial.

OBJECTIVE: To determine whether routine blood glucose assessment of patients admitted to hospital from emergency departments (EDs) results in higher rates of new diagnoses of diabetes and documentation of follow-up plans. DESIGN, SETTING: Cluster randomised trial in 18 New South Wales public district and tertiary hospitals, 31 May 2011 - 31 December 2012; outcomes follow-up to 31 March 2016. PARTICIPANTS: Patients aged 18 years or more admitted to hospital from EDs. INTERVENTION: Routine blood glucose assessment at control and intervention hospitals; automatic requests for glycated haemoglobin (HbA1c ) assessment and notification of diabetes services about patients at intervention hospitals with blood glucose levels of 14 mmol/L or more. MAIN OUTCOME MEASURE: New diagnoses of diabetes and documented follow-up plans for patients with admission blood glucose levels of 14 mmol/L or more. RESULTS: Blood glucose was measured in 133 837 patients admitted to hospital from an ED. The numbers of new diabetes diagnoses with documented follow-up plans for patients with blood glucose levels of 14 mmol/L or more were similar in intervention (83/506 patients, 16%) and control hospitals (73/278, 26%; adjusted odds ratio [aOR], 0.83; 95% CI 0.42-1.7; P = 0.61), as were new diabetes diagnoses with or without plans (intervention, 157/506, 31%; control, 86/278, 31%; aOR, 1.51; 95% CI, 0.83-2.80; P = 0.18). 30-day re-admission (31% v 22%; aOR, 1.34; 95% CI, 0.86-2.09; P = 0.21) and post-hospital mortality rates (24% v 22%; aOR, 1.07; 95% CI, 0.74-1.55; P = 0.72) were also similar for patients in intervention and control hospitals. CONCLUSION: Glucose and HbA1c screening of patients admitted to hospital from EDs does not alone increase detection of previously unidentified diabetes. Adequate resourcing and effective management pathways for patients with newly detected hyperglycaemia and diabetes are needed. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry, ACTRN12611001007921.

Large-for-Gestational-Age Neonates in Type 1 Diabetes and Pregnancy: Contribution of Factors Beyond Hyperglycemia.

Despite significant reductions in serious adverse perinatal outcomes for women with type 1 diabetes in pregnancy, the opposite effect has been observed for fetal overgrowth and associated complications, such as neonatal hypoglycemia, shoulder dystocia, and admission to the neonatal intensive care unit. In addition, infants born large for gestational age (LGA) have an increased lifetime risk of obesity, diabetes, and chronic disease. Although exposure to hyperglycemia plays an important role, women who seemingly achieve adequate glycemic control in pregnancy continue to experience a greater risk of excess fetal growth, leading to LGA neonates and macrosomia. We review potential contributors to excess fetal growth in pregnancies complicated by type 1 diabetes. In addition to hyperglycemia, we explore the role of glycemic variability, prepregnancy overweight and obesity, gestational weight gain, and maternal lipid levels. Greater understanding of the stimuli that drive excess fetal growth could lead to targeted management strategies in pregnant women with type 1 diabetes, potentially reducing the incidence of LGA neonates and the inherent risk of acute and long-term complications.

Utility of the Hospital Admission Risk Programme diabetes risk calculator in identifying patients with type 2 diabetes at risk of unplanned hospital presentations.

BACKGROUND: Prevention of hospitalisation is an important aspect of type 2 diabetes (T2D) management. AIMS: We retrospectively determined the utility of the Hospital Admission Risk Programme (HARP) diabetes risk calculator (HARP tool) in identifying patients with T2D more likely to have unplanned hospital presentations. METHODS: The HARP tool includes a clinical assessment score (Part A) and a psychosocial and self-management impact score (Part B), and categorises patients into low, medium, high or urgent risk of acute hospitalisation. It was completed for T2D patients attending Royal North Shore Hospital, Sydney, in 2013. RESULTS: Within the cohort of 278 patients (age 65.3 ± 10.5 years; 62.9% male; diabetes duration 10.7 ± 6.6 years), 67.3% were classified as low risk, 32.7% as medium risk and none as high or urgent risk. Following adjustment for confounders, a medium HARP score was associated with a 3.1-fold increased risk of unplanned hospital presentations in the subsequent 12 months (95% confidence interval: 1.35-7.31; P = 0.008). Part A scores were significantly higher for patients that presented to hospital compared to those that did not (14.2 ± 6.8 vs 11.4 ± 5.5; P = 0.034), whereas there was no difference in Part B scores (P = 0.860). CONCLUSIONS: In patients with low and medium HARP scores, clinical features were more predictive of hospital presentations than certain psychosocial or self-management factors in the present cohort. Further studies are required to characterise unplanned hospitalisation in patients with higher HARP scores, or whether additional psychosocial assessments could improve the tool's predictability.

Outcomes for Women with Gestational Diabetes Treated with Metformin: A Retrospective, Case-Control Study.

Metformin is increasingly being used a therapeutic option for the management of gestational diabetes mellitus (GDM). The aim of this study was to compare the maternal characteristics and perinatal outcomes of women with GDM treated with metformin (with or without supplemental insulin) with those receiving other management approaches. A retrospective, case-control study was carried out and 83 women taking metformin were matched 1:1 with women receiving insulin or diet and lifestyle modification alone. Women managed with diet and lifestyle modification had a significantly lower fasting plasma glucose (p < 0.001) and HbA1c (p < 0.01) at diagnosis of GDM. Furthermore, women managed with metformin had a higher early pregnancy body mass index (BMI) compared to those receiving insulin or diet and lifestyle modification (p < 0.001). There was no difference in mode of delivery, birth weight or incidence of large- or small-for-gestational-age neonates between groups. Women receiving glucose lowering therapies had a higher rate of neonatal hypoglycaemia (p < 0.05). The incidence of other adverse perinatal outcomes was similar between groups. Despite their greater BMI, women with metformin-treated GDM did not have an increased risk of adverse perinatal outcomes. Metformin is a useful alternative to insulin in the management of GDM.

Suboptimal behaviour and knowledge regarding overnight glycaemia in adults with type 1 diabetes is common.

BACKGROUND: In people with type 1 diabetes (T1D), nocturnal hypoglycaemia (NH) can be slept through and can cause seizures, arrhythmias and death. Hypoglycaemia avoidance can induce hyperglycaemia and ketosis. Patient behaviour impacts clinical outcomes and may be changed by education. AIM: To develop and utilise a survey to evaluate patient self-management of overnight glycaemia in adults with T1D. METHODS: Adults with T1D attending two Australian tertiary referral diabetes clinics completed a survey about their diabetes self-management and glycaemic control, including responses to hypothetical pre-bed blood glucose (BG) levels (4-20 mmol/L). Statistical analyses included t-tests, Chi square tests and ANOVA with significance considered at P < 0.05. RESULTS: There were 205 participants (103 females), with a mean (SD) age of 41 (17) years, T1D duration of 20 (16) years, HbA1c of 7.8(1.4)%, (61.3(8.2) mmol/mol), 38% on insulin pump therapy (CSII) and 36% with impaired hypoglycaemia awareness (IHA). Mean (SD) number of BG tests/day was 5.4 (2.7). Patients set higher BG target levels at bedtime and overnight: 7.5(1.4) and 7.1(1.3) mmol/L, respectively, compared to daytime (6.9(1.0); P < 0.0001 and P = 0.002 respectively). Only 36% of participants reported treating nocturnal hypoglycaemia (NH) with the recommended refined, then complex, carbohydrate. Only 28% of patients made safe choices in all bedtime BG scenarios, with higher rates for CSII users, P = 0.0005. Further education was desired by 32% of respondents, with higher rates in those with (44%) versus without IHA (25%), P = 0.006. CONCLUSIONS: Many adults with T1D have suboptimal knowledge and behaviour regarding overnight BG self-management. A survey, piloted herein, may facilitate the identification of patients who could benefit from further education.

Factors associated with patient activation in an Australian population with comorbid diabetes and chronic kidney disease: a cross-sectional study.

OBJECTIVE: To evaluate the extent of patient activation and factors associated with activation in adults with comorbid diabetes and chronic kidney disease (CKD). DESIGN: A cross-sectional study. SETTING: Renal/diabetes clinics of four tertiary hospitals across the two largest states of Australia. STUDY POPULATION: Adult patients (over 18 years) with comorbid diabetes and CKD (estimated glomerular filtration rate <60 mL/min/1.73 m2). MAIN OUTCOME MEASURES: Patients completed the Patient Activation Measure, the Kidney Disease Quality of Life and demographic and clinical data survey from January to December 2014. Factors associated with patient activation were examined using χ2 or t-tests and linear regression. RESULTS: Three hundred and five patients with median age of 68 (IQR 14.8) years were studied. They were evenly distributed across socioeconomic groups, stage of kidney disease and duration of diabetes but not gender. Approximately 46% reported low activation. In patients with low activation, the symptom/problem list, burden of kidney disease subscale and mental composite subscale scores were all significantly lower (all p<0.05). On multivariable analysis, factors associated with lower activation for all patients were older age, worse self-reported health in the burden of kidney disease subscale and lower self-care scores. Additionally, in men, worse self-reported health in the mental composite subscale was associated with lower activation and in women, worse self-reported health scores in the symptom problem list and greater renal impairment were associated with lower activation. CONCLUSION: Findings from this study suggest that levels of activation are low in patients with diabetes and CKD. Older age and worse self-reported health were associated with lower activation. This data may serve as the basis for the development of interventions needed to enhance activation and outcomes for patients with diabetes and CKD.

Effects of Sotagliflozin Added to Insulin in Patients with Type 1 Diabetes.

BACKGROUND: In most patients with type 1 diabetes, adequate glycemic control is not achieved with insulin therapy alone. We evaluated the safety and efficacy of sotagliflozin, an oral inhibitor of sodium-glucose cotransporters 1 and 2, in combination with insulin treatment in patients with type 1 diabetes. METHODS: In this phase 3, double-blind trial, which was conducted at 133 centers worldwide, we randomly assigned 1402 patients with type 1 diabetes who were receiving treatment with any insulin therapy (pump or injections) to receive sotagliflozin (400 mg per day) or placebo for 24 weeks. The primary end point was a glycated hemoglobin level lower than 7.0% at week 24, with no episodes of severe hypoglycemia or diabetic ketoacidosis after randomization. Secondary end points included the change from baseline in glycated hemoglobin level, weight, systolic blood pressure, and mean daily bolus dose of insulin. RESULTS: A significantly larger proportion of patients in the sotagliflozin group than in the placebo group achieved the primary end point (200 of 699 patients [28.6%] vs. 107 of 703 [15.2%], P<0.001). The least-squares mean change from baseline was significantly greater in the sotagliflozin group than in the placebo group for glycated hemoglobin (difference, -0.46 percentage points), weight (-2.98 kg), systolic blood pressure (-3.5 mm Hg), and mean daily bolus dose of insulin (-2.8 units per day) (P≤0.002 for all comparisons). The rate of severe hypoglycemia was similar in the sotagliflozin group and the placebo group (3.0% [21 patients] and 2.4% [17], respectively). The rate of documented hypoglycemia with a blood glucose level of 55 mg per deciliter (3.1 mmol per liter) or below was significantly lower in the sotagliflozin group than in the placebo group. The rate of diabetic ketoacidosis was higher in the sotagliflozin group than in the placebo group (3.0% [21 patients] and 0.6% [4], respectively). CONCLUSIONS: Among patients with type 1 diabetes who were receiving insulin, the proportion of patients who achieved a glycated hemoglobin level lower than 7.0% with no severe hypoglycemia or diabetic ketoacidosis was larger in the group that received sotagliflozin than in the placebo group. However, the rate of diabetic ketoacidosis was higher in the sotagliflozin group. (Funded by Lexicon Pharmaceuticals; inTandem3 ClinicalTrials.gov number, NCT02531035 .).

Identification of Patients With Diabetes Who Benefit Most From a Health Coaching Program in Chronic Disease Management, Sydney, Australia, 2013.

INTRODUCTION: Chronic disease management programs (CDMPs) that include health coaching can facilitate and coordinate diabetes management. The aim of this study was to assess changes in patients' general knowledge of diabetes, self-reported health status, diabetes distress, body mass index (BMI), and glycemic control after enrollment in a face-to-face CDMP group health coaching session (with telephone follow-up) compared with participation in telephone-only health coaching, during a 12-month period. METHODS: Patients with diabetes were enrolled in a health coaching program at Royal North Shore Hospital, Sydney, Australia, in 2013. Questionnaires were administered at baseline and at 3, 6, and 12 months, and the results were compared with baseline. Glycemic control, measured with glycated hemoglobin A1c (HbA1c) and BMI, were measured at baseline and 12 months. RESULTS: Overall, 238 patients attended a face-to-face CDMP session with telephone follow-up (n = 178) or participated in telephone-only health coaching (n = 60). We found no change in BMI in either group; however, HbA1c levels in patients with baseline above the current recommended target (>7%) decreased significantly from 8.5% (standard deviation [SD], 1.0%) to 7.9% (SD, 1.0%) (P = .03). Patients with the lowest self-reported health status at baseline improved from 4.4 (SD, 0.5) to 3.7 (SD, 0.9) (P = .001). Diabetes knowledge improved in all patients (24.4 [SD, 2.4] to 25.2 [SD, 2.4]; P < .001), and diabetes distress decreased among those with the highest levels of distress at baseline (3.0 [SD, 0.4] vs 3.8 [SD, 0.6]; P = .003). CONCLUSION: Diabetes health coaching programs can improve glycemic control and reduce diabetes distress in patients with high levels of these at baseline.

Updated risk factors should be used to predict development of diabetes.

AIMS: Predicting incident diabetes could inform treatment strategies for diabetes prevention, but the incremental benefit of recalculating risk using updated risk factors is unknown. We used baseline and 1-year data from the Nateglinide and Valsartan in Impaired Glucose Tolerance Outcomes Research (NAVIGATOR) Trial to compare diabetes risk prediction using historical or updated clinical information. METHODS: Among non-diabetic participants reaching 1year of follow-up in NAVIGATOR, we compared the performance of the published baseline diabetes risk model with a "landmark" model incorporating risk factors updated at the 1-year time point. The C-statistic was used to compare model discrimination and reclassification analyses to demonstrate the relative accuracy of diabetes prediction. RESULTS: A total of 7527 participants remained non-diabetic at 1year, and 2375 developed diabetes during a median of 4years of follow-up. The C-statistic for the landmark model was higher (0.73 [95% CI 0.72-0.74]) than for the baseline model (0.67 [95% CI 0.66-0.68]). The landmark model improved classification to modest (<20%), moderate (20%-40%), and high (>40%) 4-year risk, with a net reclassification index of 0.14 (95% CI 0.10-0.16) and an integrated discrimination index of 0.01 (95% CI 0.003-0.013). CONCLUSIONS: Using historical clinical values to calculate diabetes risk reduces the accuracy of prediction. Diabetes risk calculations should be routinely updated to inform discussions about diabetes prevention at both the patient and population health levels.

Self-management in patients with diabetes and chronic kidney disease is associated with incremental benefit in HRQOL.

AIMS: There is insufficient and inconsistent data regarding the association between diabetes self-management, the process of facilitating the knowledge, skill, and ability necessary for diabetes self-care, and health-related quality of life (HRQOL) in people with diabetes and moderate to severe chronic kidney disease (CKD). METHODS: In a cross sectional study, participation in diabetes self-management assessed by the Summary of Diabetes Self-Care Activities (SDSCA) questionnaire and HRQOL was examined in 308 patients with diabetes and CKD (stages 3 to 5) recruited from outpatient diabetes and renal clinics of 4 public tertiary hospitals. Associations were examined by Pearson correlation coefficients and hierarchical multiple regression after controlling for potential confounders. An examination of trend across the levels of patient participation in self-management was assessed using a non-parametric test for trend. RESULTS: The median age and interquartile range (IQR) of patients were 68 and 14.8years, respectively with 59% of the population being over 65years old and 69.5% male. The median durations of diabetes and CKD were 18years (IQR-17) and 5years (IQR-8) respectively. General diet, exercise and medication taking were positively associated with at least one HRQOL subscale (all p<0.05) but diabetes specific diet, blood sugar testing and foot checking were not. As levels of participation in self-management activities increased there was a graded increase in mean HRQOL scores across all subscales (p for trend <0.05). CONCLUSIONS: In people with diabetes and moderate to severe CKD, participation in diabetes self-management activities, particularly those focused on general diet, exercise and medication taking, was associated with higher HRQOL.