Glycemic Targets Research Articles

Efficacy of Alogliptin/Metformin Fixed-Dose Combination Tablets and Vildagliptin/Metformin Fixed-Dose Combination Tablets on Glycemic Control in Real-World Clinical Practice for the Patients with Type 2 Diabetes: A Multicenter, Open-Label, Randomized, Parallel Group, Comparative Trial.

Background: This study was aimed to compare the efficacy of two combination tablets of dipeptidyl peptidase-4 (DPP-4) inhibitors and metformin with different dosages, alogliptin/metformin (AM) and vildagliptin/metformin (VM), on glycemic control in patients with type 2 diabetes (T2D). Methods: This was a prospective, multicenter, open-label, randomized, parallel group, comparative trial. After a run-in period of treatment with metformin alone, a total of 59 Japanese outpatients with T2D, aged 20-79 years with glycated hemoglobin (HbA1c) levels of 6.5%-10% were randomly assigned to 12-week AM treatment, alogliptin 25 mg/metformin 500 mg combination tablet orally once a day, or VM treatment, vildagliptin 50 mg/metformin 250 mg combination tablet orally twice a day. The primary endpoints were the changes in HbA1c and fasting plasma glucose (FPG) levels from baseline to week 12 between the two groups. Blinded intermittently scanned continuous glucose monitoring (isCGM) was performed between weeks 10 and 12. The incidence of adverse events during the study was also evaluated. Results: In all, 52 participants were analyzed. Significant decreases in HbA1c and FPG levels from baseline to week 12 were observed in both treatment groups. However, there were no significant differences between the AM and VM groups in the change in HbA1c level (-0.3% and -0.4%, P = 0.309) or the FPG level (-9.0 and -15.0 mg/dL, P = 0.789). The isCGM revealed that both treatments achieved the recommended glycemic target range. No adverse events, such as severe hypoglycemia, were observed in either group. Conclusions: We concluded that there were no significant differences in the efficacy of two combination tablets of DPP-4 inhibitors and metformin with different dosages on glycemic control in patients with T2D.

Use of continuous glucose monitoring and hybrid closed-loop therapy in pregnancy.

Continuous glucose monitoring (CGM) has led to a paradigm shift in the management of pregnant women with type 1 diabetes (T1D), with improved glycaemic control, less hypoglycaemia and fewer pregnancy complications. Data on CGM use in pregnant women with type 2 diabetes (T2D) are limited. A large randomized controlled trial (RCT) on CGM use in people with T2D in pregnancy is ongoing. Small studies on CGM use in women with gestational diabetes (GDM) have suggested improved glycaemic control and better qualification when insulin is needed. However, none of these studies was powered to evaluate pregnancy outcomes. Several large RCTs are ongoing in women with GDM. In addition to CGM, other technologies, such as advanced hybrid closed-loop (AHCL) systems have further improved glycaemic management in people with T1D. AHCL therapy adapts insulin delivery via a predictive algorithm integrated with CGM and an insulin pump. A large RCT with the AHCL CamAPS® FX demonstrated a 10% increase in time in range compared to standard insulin therapy in a pregnant population with T1D. Recently, an RCT of an AHCL system not approved for use in pregnancy (780G MiniMed) has also demonstrated additional benefits of AHCL therapy compared to standard insulin therapy, with improved time in range overnight, less hypoglycaemia and improved treatment satisfaction. More evidence is needed on the impact of AHCL therapy on maternal and neonatal outcomes and on which glycaemic targets with CGM should be used in pregnant women with T2D and GDM. We review the current evidence on the use of CGM and AHCL therapy in pregnancy.

Immunotherapy-Based Strategies for Treatment of Type 1 Diabetes.

Type 1 diabetes (T1D) is more than an insulin-deficiency disease-it is an autoimmune disease, and the field is moving towards adopting disease-modifying immunotherapy as part of clinical care during T1D development. Recent successful immunotherapies as well as therapies that missed the mark are reviewed. T cell-directed therapies may allow for the greatest preservation of β cell function but also come with more side effects. Anti-cytokine therapies are very promising but likely need chronic administration. Antigen-specific therapies while safe have not produced meaningful results. Most successful trials have been conducted in adolescents and adults with stage 3 T1D (clinical T1D) with preserved C-peptide (up to 60% more compared to placebo) demonstrated 1-2 years post treatment. HbA1c and total insulin dose are less likely to be significantly different between treated and placebo groups because most participants in studies are meeting glycemic targets and because of the heterogeneous nature of these measures. In the prevention space (delaying progression from stage 2 to stage 3 T1D) the outcome is more discrete, and a T cell-directed therapy, teplizumab, has received FDA approval. Even negative studies with promising mechanistic and safety profiles have added value. What is clear, a single administration or short course of an immunotherapy is unlikely to provide sustained freedom from exogenous insulin.

The association of resilience with HbA1c and key psychosocial factors in emerging adults with type 1 diabetes.

Emerging adults (EAs) with type 1 diabetes (T1D) have difficulty meeting glycemic targets and have a high prevalence of mental health comorbidities. Resilience, the ability to harness resources needed to sustain one's emotional and physical well-being, may be a key factor impacting poor mental health and glycemic outcomes. We aimed to (a) evaluate the association between resilience, HbA1c, and key psychosocial factors and (b) explore whether resilience moderates the relationship between psychosocial factors (depression, diabetes-related distress, anxiety) and HbA1c in EAs with T1D. EAs with T1D (N = 233) (mean age = 19.9 years (SD = 1.6), range 16.8-24.7) seen at an EA-specific diabetes clinic completed resilience, diabetes-related distress, depression, and anxiety measures and had their HbA1c level evaluated. We used linear regression models and conducted moderation analyses for the resilience factor. Resilience was strongly associated with HbA1c, depression, diabetes-related distress, and anxiety in EAs with T1D. We did not find evidence that resilience moderates the relationship between depression, anxiety, or diabetes-related distress and HbA1c. This study found that resilience is a highly relevant psychological factor associated with HbA1c and a key mental health factor for EAs with T1D. Novel interventions are needed to ameliorate high diabetes-related distress and HbA1c, and bolstering resilience may be one avenue to explore. Future research on resilience should longitudinally characterize and evaluate whether resilience may be a mechanism underlying the relationship between poor psychosocial outcomes and not meeting glycemic targets in EAs with T1D.

The relationship between repeated measurements of HbA1c and risk of coronary events among the common haptoglobin phenotype groups: the Action for Health in Diabetes (Look AHEAD) study

BackgroundIn the ACCORD study, participants with the haptoglobin (Hp) 2–2 phenotype and glycated hemoglobin (HbA1c) ≥ 8.0% had a higher risk of coronary artery disease (CAD) compared to those with HbA1c 7.0–7.9%. However, this association was not observed in participants without the Hp2-2 phenotype. The optimal glycemic target for CAD prevention for the Hp phenotypes remains uncertain and may vary based on demographic and clinical factors.ObjectiveTo investigate how reaching clinically relevant HbA1c targets relates to the risk of CAD in different Hp phenotype groups among a diverse cohort of individuals with T2DM (the Look AHEAD study, HbA1c ≤ 11% at baseline).MethodsCox regression models with time-varying covariables were used to quantify the association between time-varying achieved HbA1c (< 6.5%, 6.5–6.9%, and ≥ 8.0% compared to 7.0-7.9%), updated at years 1–4, 6, 8, and 10, and incident CAD in the Hp2-2 (n = 1,587) and non-Hp2-2 (n = 2,944) phenotypes separately. Further pre-specified subgroup analyses by age, sex, history of cardiovascular disease (CVD), race, and diabetes duration were performed in each Hp phenotype group separately.ResultsCompared with HbA1c 7.0-7.9%, having HbA1c < 6.5% was associated with a 29% lower CAD risk among participants with the non-Hp2-2 phenotype (adjusted HR 0.71, 95% CI 0.55–0.90). In subgroup analyses, this association was present in participants with the non-Hp2-2 phenotype who were male (0.60, 0.44–0.83), who did not have a history of CVD (0.65, 0.47–0.90), who were aged ≥ 65 years (0.64, 0.44–0.94), who were White (0.68, 0.51–0.91), or who had diabetes duration > 10 years (0.58, 0.35–0.95). HbA1c ≥ 8.0% was associated with CAD risk only among participants with the Hp2-2 phenotype who had a history of CVD (1.79, 1.00-3.20). No associations were found between the other HbA1c targets and CAD risk when participants with the Hp2-2 phenotype were grouped together or divided into subgroups.ConclusionThe differences in our results compared to our previous findings may be due to variations in the study populations and factors associated with weight loss, making it difficult to draw definitive conclusions. Our current findings should be considered in the context of hypothesis generation, and ideally, will encourage additional research in this field.

Glycaemic outcomes in adults with type 2 diabetes over 34 weeks with the Omnipod® 5 automated insulin delivery system.

The aim was to evaluate the effect of extended use of the Omnipod® 5 automated insulin delivery (AID) system in adults with type 2 diabetes and suboptimal glycaemic control. Following an 8-week single-arm, multicentre, outpatient trial of AID in adults with type 2 diabetes and baseline ≥ 64 mmol/mol, participants were given the opportunity to continue use of the AID system in a 26-week (~6 month) extension phase. The primary safety endpoints were percentage of time with sensor glucose ≥ 250 mg/dL and < 54 mg/dL. Additional glycaemic measures, including percentage of time in range (TIR) (70-180 mg/dL) and HbA1c, were evaluated. The use of non-insulin anti-hyperglycaemic medications was permitted throughout the entire study. During the initial 8-week study, participants (N = 22) achieved a decrease in percentage of time ≥ 250 mg/dL from 27.4% ± 21.0% to 10.5% ± 8.8% (p < 0.0001), which further decreased to 9.7% ± 9.2% during the extension phase (p = 0.0002 vs. standard therapy). Percentage of time < 54 mg/dL remained low from standard therapy through extension (median [interquartile range] 0.00% [0.00%, 0.06%] vs. 0.02% [0.00%, 0.05%], p > 0.05). HbA1c decreased by 1.6% ± 1.2% (15.5 ± 13.1 mmol/mol, p < 0.0001) and TIR increased by 22.4% ± 19.2% (p < 0.0001) from standard therapy through extension with no significant change in body mass index and without an observed increase in total daily insulin requirements. These longer-term findings of Omnipod 5 AID system use demonstrate the potential value of AID in helping people with type 2 diabetes reach glycaemic targets.

Type 3c diabetes mellitus: what are we dealing with? Review

The authors presented updated data on the term «type 3 diabetes mellitus», its modern classification, pathophysiological mechanisms of development and features of treatment, its definitions, epidemiology and modern classification based on the recommendations of the American Diabetes Association. Definitions and epidemiological features of acute pancreatitis and its most frequent complications, including 3c type diabetes have been described. Statistical data were presented on the risk of developing complications of acute pancreatitis in the form of carbohydrate metabolism disorders. Historical prerequisites of fatal complications of acute pancreatitis in the form of hyperglycemic states were also described. The pathophysiological mechanisms of the development of type 3c diabetes, namely local and systemic inflammation, loss of islet tissue of the pancreas, dysregulation of the insulin­­incretin axis, autoimmune destruction of β­cells of the pancreas, etc. were highlighted in detail. The role of genetic factors in the development of diabetes against the background of acute pancreatitis is described. Currently there are no standardized unified criteria of type 3c diabetes, thus the main and additional diagnostic criteria according to the different authors have been analyzed in detail. The differential characteristics and features of the diagnosis of diabetes mellitus by type and peculiarities of the diagnosis of type 1, 2 and 3c diabetes mellitus have been presented. The discussion on the glycemic target goals for patients with type 3c diabetes and the need for screening and prevention of carbohydrate metabolism disorders in patients with acute pancreatitis has been outlined. The authors provided current recommendations for the treatment of type 3c diabetes and discussed the possibilities of the use of insulin in the basis/bolus mode to achieve compensation of carbohydrate metabolism. The necessity to compensate pancreas exocrine insufficiency to improve the assimilation of fats and fat‑soluble vitamins has been emphasized.

6954 Effect Of The SARS-CoV-2 Pandemic on Metabolic Control In Patients With Type 2 Diabetes: A 5-year Cohort Follow-Up

Abstract Disclosure: D.P. Morales Rodríguez: None. M. Romero Ibarguengoitia: None. A. Garza-Silva: None. A. Rivera-Cavazos: None. I. Fernandez-Chau: None. A. Cepeda Medina: None. A. Gonzalez-Cantú: None. The SARS-CoV-2 pandemic brought a radical shift in the healthcare system and a suboptimal care for vulnerable patients, such as those with Type 2 Diabetes Mellitus (T2DM). Thus, we compared the metabolic control of patients with T2DM before and throughout 3 years of the SARS-CoV-2 pandemic, described the type of consultations and trends in attendance in various specialties, and compared the number of medications prescribed to patients before and during the pandemic. We conducted a retrospective observational cohort study on steelworkers with T2DM from a hospital in northeastern Mexico, who were treated by a multidisciplinary team from 2018 to 2022. We analyzed HbA1C levels, fasting serum glucose (FGS), low-density lipoprotein cholesterol (LDLc), blood pressure (BP) values, microalbuminuria, attendance at consultations across different specialties, and the trend in medication usage. We analyzed 999 subjects, 516 (51.7%) males, with a mean age (SD) of 60.1 (12.7) years. A significant difference was found in the proportion of controlled patients based on HbA1C with 55.5% in 2018 and 70.7% in 2022 (p&amp;lt;0.001). There was an increase of FGS control from 13.8% in 2018 to 56.1% in 2022 (p&amp;lt;0.001). LDL cholesterol control exhibited a decrease from 62.1% in 2018 to 57% in 2022 (p&amp;lt;0.001). Proportion of patients with systolic BP control decreased from 82.7% in 2018 to 80.1% in 2022 (p&amp;lt;0.001). Diastolic BP control was 89.6% in 2018 with an increase to 91.4% in 2022 (p=0.01). Microalbuminuria based control, increased from 80.5% in 2018 to 89% in 2022 (p=0.002). Telephone consultations were introduced in 2020, with 899 (90%) patients using this modality at least once, leading to a 35.8% decrease of in-person consultations (n=541,54.2%) and reaching its lowest point in 2021 (n=2, 0.2%). Throughout the follow-up period, all patients had at least one annual consultation with an internist or geriatrician based on their age group. There was an increase of endocrinology consultations from 8.5% in 2018 to 12.1% in 2022 and in cardiology from 6.9% in 2018 to 10.3% in 2022 (&amp;lt;0.05). There was a rise in the prescription of oral hypoglycemic agents raging from 4.9% to 14.2% between 2018 and 2020, with SGLT2 inhibitors being the highest prescribed and a 2.5% decrease in the prescription of sulfonylureas between 2018 and 2020. Similarly, there was an increase in the prescription of long-acting insulin by 5.9% between 2018 and 2020. There was a higher proportion of patients with controlled glycemic and diastolic blood pressure targets during the SARS-CoV-2 pandemic, this can be attributed to patient’s access to telemedicine and a multidisciplinary team capable of providing an appropriate medication prescription for an optimized management and improvement in patient’s quality of life. Presentation: 6/1/2024

Gestational diabetes mellitus: ensuring healthy futures

Gestational diabetes mellitus is the most common medical condition in pregnancy, disproportionately affecting overweight or obese women and those from non-White populations. The lack of standardised screening and diagnostic consensus contributes to varying prevalence. Conventional risk factor-based screening can leave women undiagnosed, leading to increased risk of harm. If diet and lifestyle modifications fail to achieve glycaemic targets, prompt treatment should be initiated to manage glucose levels. A planned birth is crucial to ensure the best outcomes. Postpartum, women need screening for type 2 diabetes and other cardiometabolic risk factors, enrollment in diabetes prevention programmes, and counselling on the increased risk of future cardiometabolic disease for themselves and their offspring, highlighting the importance of ongoing prevention and management strategies.

Management of older adults with diabetes mellitus: Perspective from geriatric medicine.

Advances in diabetes medication and population aging are lengthening the lifespans of people with diabetes mellitus (DM). Older patients with diabetes mellitus often have multimorbidity and tend to have polypharmacy. In addition, diabetes mellitus is associated with frailty, functional decline, cognitive impairment, and geriatric syndrome. Although the numbers of patients with frailty, dementia, disability, and/or multimorbidity are increasing worldwide, the accumulated evidence on the safe and effective treatment of these populations remains insufficient. Older patients, especially those older than 75 years old, are often underrepresented in randomized controlled trials of various treatment effects, resulting in limited clinical evidence for this population. Therefore, a deeper understanding of the characteristics of older patients is essential to tailor management strategies to their needs. The clinical guidelines of several academic societies have begun to recognize the importance of relaxing glycemic control targets to prevent severe hypoglycemia and to maintain quality of life. However, glycemic control levels are thus far based on expert consensus rather than on robust clinical evidence. There is an urgent need for the personalized management of older adults with diabetes mellitus that considers their multimorbidity and function and strives to maintain a high quality of life through safe and effective medical treatment. Older adults with diabetes mellitus accompanied by frailty, functional decline, cognitive impairment, and multimorbidity require special management considerations and liaison with both carers and social resources.

Neonatal hypoglycemia: a review of the current diagnostic and management guidelines

Neonatal hypoglycemia is the most common metabolic disorder during the neonatal period. Despite its frequency of occurrence, there is no specific glucose concentration that defines it. Various symptoms and clinical manifestations characterize it, and its complications are related to its severity and duration. This review aims at comparing the recommendations of the American Academy of Pediatrics, the Pediatric Endocrine Society, and the Academy of Breastfeeding Medicine regarding the risk factors, the diagnosis, and the management of hypoglycemia. The complexity of hypoglycemia management and the research questions that need to be answered are highlighted by comparing the three guidelines. Preventing neonatal hypoglycemia by monitoring the maternal glucose concentrations, exploring and defining the optimal glycemic targets, investigating the long-term benefits after following these guidelines, and searching for less invasive diagnostic and therapeutic tools may help healthcare professionals make informed decisions to achieve better outcomes for these neonates.

Assessing Cardiovascular Target Attainment in Type 2 Diabetes Mellitus Patients in Tertiary Diabetes Center in Romania.

Type 2 diabetes mellitus (T2DM) and cardiovascular disease (CVD) share a bidirectional link, and the innovative antidiabetic molecules GLP-1 Ras and SGLT-2is have proven cardiac and renal benefits, respectively. This study aimed to evaluate CV risk categories, along with lipid-lowering and antidiabetic treatments, in patients with T2DM from a real-life setting in Romania. A cross-sectional evaluation was conducted on 405 consecutively admitted patients with T2DM in an ambulatory setting, assessing them according to the 2019 ESC/EAS guidelines for moderate, high, and very high CV risk categories. The average age of the group was 58 ± 9.96 years, with 38.5% being female. The mean HbA1C level was 7.2 ± 1.7%. Comorbidities included HBP in 88.1% of patients, with a mean SBP and DBP of 133.2 ± 13.7 mm Hg and 79.9 ± 9 mm Hg, respectively, and obesity in 66.41%, with a mean BMI of 33 ± 6.33 kg/m2. The mean LDL-C levels varied by CV risk category: 90.1 ± 34.22 mg/dL in very high risk, 98.63 ± 33.26 mg/dL in high risk, and 105 ± 37.1 mg/dL in moderate risk. Prescribed treatments included metformin (100%), statins (77.5%), GLP-1 Ras (29.4%), and SGLT-2is (29.4%). In Romania, patients with T2DM often achieve glycemic control targets but fail to meet composite targets that include glycemic, BP, and lipid control. Additionally, few patients benefit from innovative glucose-lowering therapies with proven cardio-renal benefits or from statins.

Effect of Body Weight on Glycaemic Indices in People with Type 1 Diabetes Using Continuous Glucose Monitoring.

Background/Objectives: Obesity and overweight have become increasingly prevalent in different populations of people with type 1 diabetes (PwT1D). This study aimed to assess the effect of body weight on glycaemic indices in PwT1D. Methods: Adult PwT1D using continuous glucose monitoring (CGM) and followed up at a regional academic diabetes centre were included. Body weight, body mass index (BMI), waist circumference, glycated haemoglobin (HbA1c), and standard CGM glycaemic indices were recorded. Glycaemic indices were compared according to BMI, and correlation and linear regression analysis were performed to estimate the association between measures of adiposity and glycaemic indices. Results: A total of 73 PwT1D were included (48% normal weight, 33% overweight, and 19% obese). HbA1c was 7.2% (5.6-10), glucose management indicator (GMI) 6.9% (5.7-8.9), coefficient of variation (CV) for glucose 39.5% ± 6.4, mean glucose 148 (101-235) mg/dL, TIR (time in range, glucose 70-180 mg/dL) 66% (25-94), TBR70 (time below range, 54-69 mg/dL) 4% (0-16), TBR54 (<54 mg/dL) 1% (0-11), TAR180 (time above range, 181-250 mg/dL) 20% ± 7, and TAR250 (>250 mg/dL) 6% (0-40). Glycaemic indices and achievement (%) of optimal glycaemic targets were similar between normal weight, overweight, and obese patients. BMI was associated negatively with GMI, mean glucose, TAR180, and TAR250 and positively with TIR; waist circumference was negatively associated with TAR250. Conclusions: CGM-derived glycaemic indices were similar in overweight/obese and normal weight PwT1D. Body weight and BMI were positively associated with better glycaemic control. PwT1D should receive appropriate ongoing support to achieve optimal glycaemic targets whilst maintaining a healthy body weight.

Mitochondrial Dysfunction and Imeglimin: A New Ray of Hope for the Treatment of Type-2 Diabetes Mellitus.

Diabetes is a rapidly growing health challenge and epidemic in many developing countries, including India. India, being the diabetes capital of the world, has the dubious dual distinction of being the leading nations for both undernutrition and overnutrition. Diabetes prevalence has increased in both rural and urban areas, affected the younger population and increased the risk of complications and economic burden. These alarming statistics ring an alarm bell to achieve glycemic targets in the affected population in order to decrease diabetes-related morbidity and mortality. In the recent years, diabetes pathophysiology has been extended from an ominous triad through octet and dirty dozen etc. There is a new scope to target multiple pathways at the molecular level to achieve a better glycemic target and further prevent micro- and macrovascular complications. Mitochondrial dysfunction has a pivotal role in both β-cell failure and insulin resistance. Hence, targeting this molecular pathway may help with both insulin secretion and peripheral tissue sensitization to insulin. Imeglimin is the latest addition to our anti-diabetic armamentarium. As imeglimin targets, this root cause of defective energy metabolism and insulin resistance makes it a new add-on therapy in different diabetic regimes to achieve the proper glycemic targets. Its good tolerability and efficacy profiles in recent studies shows a new ray of hope in the journey to curtail diabetes-related morbidity.

Simplified Meal Management in Adults Using an Advanced Hybrid Closed-Loop System.

Background: The advanced hybrid closed-loop (AHCL) algorithm combines automated basal rates and corrections yet requires meal announcement for optimal performance, which poses a challenge for some. We aimed to compare glucose control in adults with type 1 diabetes (T1D) using the MiniMedTM 780G AHCL system, utilizing simplified meal announcement versus precise carbohydrate (CHO) counting. Methods: In a study involving 14 adults with T1D, we evaluated glycemic control during a 13-week "precise phase," followed by two 3- to 4-week simplified meal announcement phases: "fixed one-step" (preset of one personalized fixed CHO amount) and "multistep" (entry of multiples of one, two, or three of these presets depending on meal size estimate). Results: The mean age was 45.7 ± 12.4, and 10 participants were male (71%). Mean baseline HbA1c was 6.8% ± 1.2% and time in range (TIR) was 67.5% ± 16.7%. Comparing the fixed one-step to the precise study phase, TIR was similar (75.4 ± 13% vs. 77.7 ± 9%, P = 0.12), and glucose management indicator (GMI) was slightly higher (6.8 ± 0.4 vs. 6.6 ± 0, P = 0.01). Furthermore, there was less level 1 and 2 hypoglycemia (1.6 ± 1% vs. 2.8 ± 2%, P = 0.03 and 0.3 ± 5% vs. 0.65 ± 1%, P = 0.08) but slightly more level 1 and 2 hyperglycemia (17.1 ± 8% vs. 15.0 ± 7%, P = 0.05 and 5.5 ± 5% vs. 3.6 ± 3%, P = 0.04). When comparing the multistep with the precise phase, GMI was identical (6.6%) and TIR superior (80.5 ± 10% vs. 77.7 ± 9%, P = 0.02). Additionally, there was less level 1 hypoglycemia (1.9 ± 1% vs. 2.8 ± 2%, P = 0.01) and a trend for less level 2 hypoglycemia (0.4 ± 0.7% vs. 0.65 ± 1%, P = 0.08). Conclusions: A simplified meal announcement strategy for adults using the MiniMed 780G system, relying on three increments of a fixed one-step CHO amount, may offer a way to improve glycemic control and ease self-care. For patients with more limitations, using one fixed one-step CHO amount could be a safe alternative to meeting most consensus glycemic targets.

Enhancing the Capabilities of Continuous Glucose Monitoring With a Predictive App.

Despite abundant evidence demonstrating the benefits of continuous glucose monitoring (CGM) in diabetes management, a significant proportion of people using this technology still struggle to achieve glycemic targets. To address this challenge, we propose the Accu-Chek® SmartGuide Predict app, an innovative CGM digital companion that incorporates a suite of advanced glucose predictive functionalities aiming to inform users earlier about acute glycemic situations. The app's functionalities, powered by three machine learning models, include a two-hour glucose forecast, a 30-minute low glucose detection, and a nighttime low glucose prediction for bedtime interventions. Evaluation of the models' performance included three data sets, comprising subjects with T1D on MDI (n = 21), subjects with type 2 diabetes (T2D) on MDI (n = 59), and subjects with T1D on insulin pump therapy (n = 226). On an aggregated data set, the two-hour glucose prediction model, at a forecasting horizon of 30, 45, 60, and 120 minutes, achieved a percentage of data points in zones A and B of Consensus Error Grid of: 99.8%, 99.3%, 98.7%, and 96.3%, respectively. The 30-minute low glucose prediction model achieved an accuracy, sensitivity, specificity, mean lead time, and area under the receiver operating characteristic curve (ROC AUC) of: 98.9%, 95.2%, 98.9%, 16.2 minutes, and 0.958, respectively. The nighttime low glucose prediction model achieved an accuracy, sensitivity, specificity, and ROC AUC of: 86.5%, 55.3%, 91.6%, and 0.859, respectively. The consistency of the performance of the three predictive models when evaluated on different cohorts of subjects with T1D and T2D on different insulin therapies, including real-world data, offers reassurance for real-world efficacy.

How to Use Continuous Glucose Monitoring Efficiently in Diabetes Management: Opinions and Recommendations by German Experts on the Status and Open Questions.

Today, continuous glucose monitoring (CGM) is a standard diagnostic option for patients with diabetes, at least for those with type 1 diabetes and those with type 2 diabetes on insulin therapy, according to international guidelines. The switch from spot capillary blood glucose measurement to CGM was driven by the extensive and immediate support and facilitation of diabetes management CGM offers. In patients not using insulin, the benefits of CGM are not so well studied/obvious. In such patients, factors like well-being and biofeedback are driving CGM uptake and outcome. Apps can combine CGM data with data about physical activity and meal consumption for therapy adjustments. Personalized data management and coaching is also more feasible with CGM data. The same holds true for digitalization and telemedicine intervention ("virtual diabetes clinic"). Combining CGM data with Smart Pens ("patient decision support") helps to avoid missing insulin boluses or insulin miscalculation. Continuous glucose monitoring is a major pillar of all automated insulin delivery systems, which helps substantially to avoid acute complications and achieve more time in the glycemic target range. These options were discussed by a group of German experts to identify concrete gaps in the care structure, with a view to the necessary structural adjustments of the health care system.

'We're taught green is good': Perspectives on time in range and time in tight range from youth with type 1 diabetes, and parents of youth with type 1 diabetes.

Continuous glucose monitoring (CGM) systems are standard of care for youth with type 1 diabetes with the goal of spending >70% time in range (TIR; 70-180 mg/dL, 3.9-10 mmol/L). We aimed to understand paediatric CGM user experiences with TIR metrics considering recent discussion of shifting to time in tight range (TITR; >50% time between 70 and 140 mg/dL, 3.9 and 7.8 mmol/L). Semi-structured interviews and focus groups with adolescents with type 1 diabetes and parents of youth with type 1 diabetes focused on experiences with TIR goals and reactions to TITR. Groups and interviews were audio-recorded, transcribed and analysed using content analysis. Thirty participants (N = 19 parents: age 43.6 ± 5.3 years, 79% female, 47% non-Hispanic White, 20 ± 5 months since child's diagnosis; N = 11 adolescents: age 15.3 ± 2 years, 55% female, 55% non-Hispanic White, 16 ± 3 months since diagnosis) attended. Participants had varying levels of understanding of TIR. Some developed personally preferred glucose ranges. Parents often aimed to surpass 70% TIR. Many described feelings of stress and disappointment when they did not meet a TIR goal. Concerns about TITR included increased stress and burden; risk of hypoglycaemia; and family conflict. Some participants said TITR would not change their daily lives; others said it would improve their diabetes management. Families requested care team support and a clear scientific rationale for TITR. The wealth of CGM data creates frequent opportunities for assessing diabetes management and carries implications for management burden. Input from people with type 1 diabetes and their families will be critical in considering a shift in glycaemic goals and targets.

Real-world impact of adding a glucagon-like peptide-1 receptor agonist compared with basal insulin on metabolic targets in adults living with type 2 diabetes and chronic kidney disease already treated with a sodium-glucose co-transporter-2 inhibitor: The Impact GLP-1 CKD study.

To compare the effectiveness of adding a glucagon-like peptide-1 receptor agonist (GLP-1 RA) with adding basal insulin among adults with type 2 diabetes (T2D) and chronic kidney disease (CKD) already treated with a sodium-glucose co-transporter-2 inhibitor (SGLT2i) and not reaching their glycaemic control targets. A retrospective analysis of the Canadian LMC Diabetes Registry was conducted. Adults who initiated a GLP-1 RA were matched 1:1 to adults who initiated basal insulin in a T2D and CKD population. Changes in metabolic outcomes were evaluated at 26-52 weeks following the therapy start date. Propensity score matching was used to match participants who initiated a GLP-1 RA to participants who initiated basal insulin (n = 153/cohort). A significantly greater reduction in HbA1c at 26-52 weeks of follow-up was observed in the GLP-1 RA cohort compared with the basal insulin cohort (-1.3% ± 1.4% vs. -1.1% ± 1.4%, P = .03). Weight was significantly reduced (-3.4 ± 3.7 vs. 2.6 ± 4.5 kg, P < .001), and the estimated glomerular filtration rate decline slowed significantly (-0.3 ± 8.2 vs. -2.4 ± 10.4 mL/min/1.73m2, P = .02), but the change in albuminuria was not significantly different (-5.7 ± 38.1 vs. -0.5 ± 38.3 mg/mmol, P = .47) at follow-up in the GLP-1 RA group compared with the basal insulin group. No differences in self-reported hypoglycaemic events per week and therapy discontinuations were reported between the cohorts. The study shows the real-world effectiveness of GLP-1 RA therapy for T2D and CKD. GLP-1 RAs provided superior reductions in HbA1c and weight, and greater kidney protection, compared with basal insulin among adults with T2D and CKD already treated with an SGLT2i.

Patients with type 2 diabetes who achieve reduced postprandial glucose levels during insulin intensive therapy may have a better recovery of β-cell function

ObjectivesTo explore parameters that may determine the improvement in C-peptide levels in patients with type 2 diabetes (T2D) receiving continuous subcutaneous insulin infusion (CSII) therapy. MethodsThe trial included a lead-in period for collecting baseline parameters and correcting hyperglycemia, a 4-day CGM period, and a 2–3 weeks treatment period. After screening, patients were hospitalized and randomized to the metformin add-on NovoRapid group or the Prandilin group. Once the glycemic target was reached, all patients underwent a 4-day CGM, with treatments maintained for 2–3 weeks. OGTTs were performed at baseline and endpoint. The primary endpoint was identifying factors contributing to better β-cell function recovery after CSII therapy. ResultsA total of 99 recruited patients were admitted as inpatients and achieved glycemic control within 3.8 ± 1.1 days. Of these, 83 (84 %) patients showed improvement in C-peptide levels, while 16 (16 %) did not show any change in C-peptide levels at the endpoint. Pearson analysis showed a negative correlation between the incremental AUC of glucose concentration (from 0700 to 1000) and the increase in incremental AUC of C-peptide levels (r = −0.199, P < 0.05). ConclusionsDrug-naïve T2D patients with lower postprandial glucose concentration during CSII therapy exhibit better β-cell function recovery.