Type 2 Diabetes Population Research Articles

Kidney Outcomes with GLP-1RAs, SGLT2 Inhibitors, DPP-4 Inhibitors, and Sulfonylureas in Type 2 Diabetes and Moderate Cardiovascular Risk

Background: Chronic kidney disease (CKD) is a serious diabetes-related complication. While guidelines recommend use of sodium-glucose co-transporter 2 (SGLT2) inhibitors and glucagon-like peptide-1 (GLP-1) receptor agonists to mitigate cardiorenal risk in high-risk patients, the benefit of early initiation of these agents relative to other commonly prescribed glucose-lowering agents in patients at lower baseline cardiovascular disease (CVD) risk remains less clear. Methods: This retrospective observational study emulated an idealized target trial using claims data from OptumLabs® Data Warehouse to test the comparative association of treatment with a dipeptidyl peptidase-4 (DPP-4) inhibitor, SGLT2 inhibitor, GLP-1 receptor agonist, or sulfonylurea on a primary kidney composite outcome of incident CKD stages 3-5, kidney failure, or need for kidney replacement therapy (KRT) in patients with type 2 diabetes (T2D) and moderate CVD risk. A secondary composite outcome included all components of the primary composite outcome plus death. Results: A total of 364,714 adults ≥21 years of age initiating treatment with a DPP-4 inhibitor (N=78,843), GLP-1 receptor agonist (N=42,049), SGLT2 inhibitor (N=45,466), or sulfonylurea (N=198,356) were identified. Relative to DPP-4 inhibitor, SGLT2 inhibitor (HR: 0.71; 95% CI: 0.67-0.74; P˂0.001) and GLP-1 receptor agonist (HR: 0.87; 95% CI: 0.83-0.92; P˂0.001) treatment was superior for the primary composite outcome. Similarly, SGLT2 inhibitor (HR: 0.69; CI: 0.66-0.73) and GLP-1 receptor agonist (HR: 0.86; CI: 0.82-0.91) treatment was associated with risk reductions for the primary outcome relative to sulfonylurea treatment. When comparing SGLT2 inhibitor to GLP-1 receptor agonist therapy, SGLT2 inhibitors were superior for the primary composite outcome (HR: 0.81; 95% CI: 0.75-0.76; P˂0.001). Similar findings were observed for the secondary composite outcome across all comparisons. Conclusions: SGLT2 inhibitors and GLP-1 receptor agonists were superior to DPP-4 inhibitors and sulfonylurea for preventing kidney complications in a T2D population with moderate baseline CVD risk.

Technology-Based Interventions to Promote Diabetes Self-Management Behaviors for Persons Newly Diagnosed with Type 2 Diabetes: A Scoping Review.

Type 2 diabetes (T2D) management is complex and requires daily personal involvement and self-management skills to maintain optimal glycemic levels and improve health outcomes. Engagement in self-management behaviors in the early years of diagnosis can be challenging due to prevailing psychosocial factors present during this critical transition period, coupled with a lack of information, support, and skills. Technology-based diabetes self-management interventions can improve access to needed education and support, and their effectiveness in the general T2D population is well documented. This scoping review synthesized evidence on the use of technology for promoting diabetes self-management behaviors and related outcomes among individuals newly diagnosed with T2D (within the first 12months since diagnosis). Twenty-five studies were included. Technology-based diabetes self-management interventions tailored to those newly diagnosed with T2D have grown exponentially in the past five years. Existing evidence, though limited, showed that technologies such as websites, mobile apps, and continuous glucose monitoring combinedwith other communication features, can facilitate patient education, patient-provider communication, and health data monitoring. However, these technologies less commonly involved social support functions. These technologies have the potential to improve diabetes knowledge and positively impactclinical, behavioral, and psychological outcomes. However, small sample sizes, use of non-experimental designs, and the absence of formative research and theoretical foundations limit the strength ofexisting studies. Technology-based self-management interventions for those newly diagnosed with T2D show promise in improving T2D-related outcomes. Future studies should include larger sample sizes, adopt rigorous study designs, and integrate formative work to enhance relevance, adoption, and impact.

Trends in type 2 diabetes medication use and guideline adherence in Belgian primary care (2019–2023)

AimsTo assess the prevalence of atherosclerotic cardiovascular disease (ASCVD), heart failure (HF), and chronic kidney disease (CKD) among patients with type 2 diabetes (T2D) in Belgium. To analyze trends in medication use and adherence to guidelines from 2019 to 2023. MethodsWe conducted a retrospective cross-sectional analysis using data from the Intego primary care database, encompassing records from 431 general practitioners. We identified adults with T2D through diagnostic codes and glycated hemoglobin levels and analyzed subgroups with ASCVD, HF, and CKD for trends in medication use, particularly SGLT2 inhibitors (SGLT2-i) and GLP-1 receptor agonists (GLP-1). ResultsThe T2D population increased from 20,766 in 2019 to 21,764 in 2023. The prevalence of ASCVD, HF, and CKD among T2D patients slightly increased to 27 %, 6.7 %, and 23.7 % by 2023 (from 25.2 %, 4.9 % and 21.5 % respectively). Medication prescription trends showed a tripling of SGLT2-i and GLP-1 prescribing in the study period to 6.2 % and 11.5 % respectively. Despite these increases, only 7.5 % of eligible patients received these medications as of 2023. ConclusionThe study highlights a growing burden of ASCVD, HF, and CKD among T2D patients in Belgium and an increase in the use of guideline-recommended medications. However, there remains a substantial gap in the optimal use of these therapies, indicating a need for improved implementation of clinical guidelines in primary care.

Prevalence of obesity and cardiovascular disease in adults with type 2 diabetes and use of diabetes medication in Germany: A claims data study.

To identify the prevalence of cardiovascular disease (CVD) and obesity in patients with type 2 diabetes (T2D) in Germany and to evaluate if antidiabetic treatment patterns varied by comorbidity status. Patients with T2D (aged ≥18 years) were identified during the study period (2014-2020) from medical claims of 4.5 million publicly insured German residents and divided into different cohorts based on CVD and/or obesity diagnosis. Annual prevalence and incidence were estimated for each study year, while characteristics and treatments were assessed in 2020. Data were extrapolated to the German population by age and sex. The prevalence of T2D in 2020 was 11.4%. Among patients with T2D, 53.0% had CVD, 39.3% had obesity, and 20.9% had CVD and obesity. Since 2014, CVD increased by 1.4%, obesity by 4.5%, and CVD with obesity by 2.7% in patients with T2D. The incidence of T2D in 2020 was 1.0% (42.9% had CVD, 37.9% had obesity, and 15.8% had CVD and obesity). Among the prevalent T2D population in 2020, 4.9% received glucagon-like peptide-1 receptor agonists (GLP-1RAs), 9.7% received sodium-glucose cotransporter-2 (SGLT2) inhibitors, and 13.0% received GLP-1 RAs and/or SGLT2 inhibitors. Of those with CVD, 12.9% received GLP-1 RAs and/or SGLT2 inhibitors (without CVD, 13.2%). Of those with obesity, 19.4% received GLP-1RAs and/or SGLT2 inhibitors (without obesity, 9.0%). In this retrospective claims database study, more than two thirds of patients with T2D also had CVD, obesity, or both CVD and obesity. GLP-1 RA and SGLT2 inhibitor use remained low.

Generalizability and treatment with sodium-glucose co-trasporter-2 inhibitors (SGLT2i) among patients with type 2 diabetes: an assessment using an Italian primary care database.

This study aimed to assess the proportions of type 2 diabetes (T2D) subjects meeting cardiovascular outcome trials (CVOTs) criteria for sodium-glucose cotransporter-2 inhibitors (SGLT-2i) and estimate SGLT2i utilization, along with associated demographic and clinical characteristics, in a primary care setting. T2D patients in Italy were selected between January 1, 2021, and December 31, 2022, from The Health Improvement Network (THIN®) database. Representativeness was determined by dividing patients meeting key inclusion criteria for four CVOTs (CANVAS, DECLARE-TIMI 58, EMPA-REG OUTCOME, VERTIS-CV) to the total T2D population. Demographic and clinical characteristics of eligible T2D subjects and SGLT2i users were compared, and logistic regression models assessed the likelihood of receiving SGLT2i. Out of 17,102 T2D patients, 8,828 met eligibility criteria for at least one CVOT. DECLARE-TIMI 58 exhibited the highest representativeness (51.1%), compared to CANVAS (21.1%), EMPA-REG OUTCOME (5.5%), and VERTIS-CV (4.9%) trials. Eligible CVOTs patients were older (74.6 vs. 68.3 years), with a longer disease duration (10.2 vs. 9.7 years), and higher established cardiovascular disease (CVD) prevalence (36.0 vs. 27.3%) compared to SGLT2i users. Less than 10% of eligible T2D patients received SGLT2i. Males (OR: 1.43; 95%CI: 1.24-1.66) were more likely to be prescribed SGLT2i than other antidiabetic drugs, while the elderly (80 + vs. 40-64 years, OR: 0.17; 95% CI: 0.14-0.22) were less likely. Eligible T2D patients with CVD reported an increased likelihood of receiving SGLT2is compared to other antidiabetics. This study highlights significant variability in the proportion of T2D subjects meeting SGLT2i CVOT inclusion criteria, with DECLARE-TIMI-58 being the most represented. Low SGLT2i prescription rates in the Italian primary care setting, along with substantial demographic and clinical differences between SGLT-2i users and T2D eligible patients, emphasize the need for targeted interventions to optimize the use of these medications in primary care settings.

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.

Evaluation of Cardiovascular Risk in People with Type 1 Diabetes: A Comprehensive and Specific Proposed Practical Approach.

People living with type 1 diabetes (T1D) have an increased risk of cardiovascular disease (CVD), and it is the leading cause of morbidity and mortality in this population. CVD risk increases with each uncontrolled risk factor, even in individuals with good glycaemic control. Recommendations for assessing CVD risk in the T1D population are extended from those for type 2 diabetes (T2D) even though the physiopathology and underlying mechanisms of atherosclerosis in T1D are poorly understood and differ from those in T2D. Unlike the assessment of microvascular complications, which is well established in T1D, this is far from being the case for the comorbidities and risk associated with CVD. Aside from classical cardiovascular comorbidities, carotid ultrasound can be useful to stratify CVD risk. The utilization of specific risk scales such as the Steno Type 1 Risk Engine can help to more accurately classify cardiovascular risk in these individuals. The cornerstones of the management of cardiovascular risk in T1D are the promotion of the Mediterranean diet, tight glycaemic control (glycated haemoglobin (HbA1c) < 7%), blood pressure < 130/80mmHg in most patients, and low-density lipoprotein (LDL) cholesterol < 100mg/dL in moderate-risk individuals, < 70mg/dL in high-risk individuals, and < 55mg/dL in very high-risk individuals. Conventional medical follow-up of patients with T1D should be individualized (approximately 2-3 visits per year), and a carotid ultrasound evaluation is recommended every 5 years in the absence of significant preclinical atherosclerosis or more often in those with severe preclinical atherosclerosis. Antithrombotic therapy is recommended in those receiving secondary prevention, those with stenosis > 50% in any arterial bed, and those with an impaired ankle-brachial index. This document is a proposal of a practical approach for the evaluation, classification, and management of CVD risk in individuals living with T1D.

Cost Offset of Dapagliflozin in the US Medicare Population with Cardio-Kidney Metabolic Syndrome.

Cardiovascular-kidney-metabolic (CKM) syndrome is highly prevalent in the US Medicare population and is projected to increase further. Sodium-glucose co-transporter2 inhibitors have indications in chronic kidney disease (CKD), heart failure (HF), and type2 diabetes (T2D), providing protective efficacy across conditions within CKM syndrome. The objective of this study was to develop a model to extrapolate key outcomes observed in pivotal clinical trials to the US Medicare population, and to assess the potential direct cost offsets associated with dapagliflozin therapy. All US 2022 Medicare beneficiaries (≥ 65years of age) eligible to receive dapagliflozin were estimated according to drug label indication and Medicare enrollment and claims data. Incidence of key outcomes from the dapagliflozin clinical program were modelled over a 4-year time horizon based on patient-level data with CKD, HF, and T2D. Published cost data of relevant clinical outcomes were used to calculate direct medical care cost-offset associated with treatment with dapagliflozin. In a population of 13.1million patients with CKM syndrome, treatment with dapagliflozin in addition to historical standard of care (hSoC) versus hSoC alone led to fewer incidents of HF-related events (hospitalization for HF, 613,545; urgent HF visit, 98,896), renal events (kidney failure, 285,041; ≥ 50% sustained decline in kidney function, 375,137), and 450,355fewer deaths (of which 225,346 and 13,206 incidences of cardiovascular and renal death were avoided). In total this led to medical care cost offsets of $99.3billion versus treatment with hSoC only (dapagliflozin plus hSoC, $310.3billion; hSoC, $211.0billion). By extrapolating data from trials across multiple indications within CKM syndrome, this broader perspective shows that considerable medical care cost offsets may result through attenuated incidence of clinical events in CKD, T2D, and HF populations if treated with dapagliflozin in addition to hSoC over a 4-year time horizon. Graphical abstract available for this article.

Behavioral Engagement and Activation Model Study (BEAMS): A latent class analysis of adopters and non-adopters of digital health technologies among people with Type 2 diabetes.

Many people with Type 2 diabetes (T2D) who could benefit from digital health technologies (DHTs) are either not using DHTs or do use them, but not for long enough to reach their behavioral or metabolic goals. We aimed to identify subgroups within DHT adopters and non-adopters and describe their unique profiles to better understand the type of tailored support needed to promote effective and sustained DHT use across a diverse T2D population. We conducted latent class analysis of a sample of adults with T2D who responded to an internet survey between December 2021 and March 2022. We describe the clinical and psychological characteristics of DHT adopters and non-adopters, and their attitudes toward DHTs. A total of 633 individuals were characterized as either DHT "Adopters" (n = 376 reporting any use of DHT) or "Non-Adopters" (n = 257 reporting never using any DHT). Within Adopters, three subgroups were identified: 21% (79/376) were "Self-managing Adopters," who reported high health activation and self-efficacy for diabetes management, 42% (158/376) were "Activated Adopters with dropout risk," and 37% (139/376) were "Non-Activated Adopters with dropout risk." The latter two subgroups reported barriers to using DHTs and lower rates of intended future use. Within Non-Adopters, two subgroups were identified: 31% (79/257) were "Activated Non-Adopters," and 69% (178/257) were "Non-Adopters with barriers," and were similarly distinguished by health activation and barriers to using DHTs. Beyond demographic characteristics, psychological, and clinical factors may help identify different subgroups of Adopters and Non-Adopters.

Prevalence of latent and overt polyautoimmunity in type 1 diabetes: A systematic review and meta-analysis

BackgroundPatients afflicted by type 1 diabetes (T1D) exhibit polyautoimmunity (PolyA). However, the frequency and distribution of PolyA in T1D is still unknown. ObjectiveWe conducted a systematic review and meta-analysis to define the prevalence of latent and overt PolyA in individuals with T1D. MethodsFollowing PRISMA guidelines, a comprehensive search across medical databases identified studies on latent and overt PolyA in T1D. Two researchers independently screened, extracted data, and assessed study quality. A random effects model was utilized to calculate the pooled prevalence, along with its corresponding 95 % confidence interval (CI), for latent PolyA and overt PolyA. Meta-regression analysis was conducted to study the effect of study designs, age, sex, and duration of disease on pooled prevalence. ResultsA total of 158 articles, encompassing a diverse composition of study designs were scrutinized. The analysis included 270,890 individuals with a confirmed diagnosis of T1D. The gender was evenly distributed (50.30 % male). Notably, our analysis unveiled an overt PolyA prevalence rate of 8.50 % (95 % CI, 6.77 to 10.62), with North America having the highest rates (14.50 %, 95 % CI, 7.58 to 24.89). This PolyA profile was further characterized by a substantial incidence of concurrent autoimmune thyroid disease (7.44 %, 95 % CI, 5.65 to 9.74). Moreover, we identified a notable prevalence of latent PolyA in the T1D population, quantified at 14.45 % (95 % CI, 11.17 to 18.49) being most frequent in Asia (23.29 %, 95 % CI, 16.29 to 32.15) and Oceania (21.53 %, 95 % CI, 16.48 to 27.62). Remarkably, this latent PolyA phenomenon primarily featured an array of autoantibodies, including rheumatoid factor, followed by Ro52, thyroid peroxidase antibodies, and thyroglobulin antibodies. Duration of the disease was associated with a highest frequency of latent (β: 0.0456, P-value: 0.0140) and overt PolyA (β: 0.0373, P-value: 0.0152). No difference in the pooled prevalence by study design was observed. ConclusionThis meta-analysis constitutes a substantial advancement in the realm of early detection of PolyA in the context of T1D. Individuals with T1D should regularly undergo assessments to identify potential concurrent autoimmune diseases, especially as they age.

Perspective of Continuous Glucose Monitoring-Based Interventions at the Various Stages of Type 2 Diabetes.

Continuous glucose monitoring (CGM) is now advocated for the clinical management of individuals with type 1 diabetes (T1D). However, this glucose monitoring strategy is not routinely used in type 2 diabetes (T2D), given the large population, significant cost implications and relatively limited supporting evidence. T2D is a more heterogenous condition compared with T1D with various glucose lowering therapies that do not necessarily require CGM to ensure within target glucose levels. While all individuals with T2D may benefit from CGM at certain time points, the whole T2D population does not necessarily require this technology continuously, which should be prioritized based on patient benefit and cost effectiveness. In this pragmatic opinion piece, we describe the rationale and evidence for CGM use in different subgroups of individuals with T2d, divided according to the stage of the condition, glycemic therapies, presence of diabetes complications, or associated co-morbidities. We discuss a total of 16 T2D subgroups and provide a clinical view on CGM use in each, based on current evidence while also highlighting areas of knowledge gaps. This work provides health care professionals with a simple guide to CGM use in different T2D groups and gives suggestion for future studies to justify expansion of this technology.

New sagittal abdominal diameter and transverse abdominal diameter based equations to estimate visceral fat area in type 2 diabetes patients

ObjectiveComputed Tomography (CT) or Magnetic Resonance Imaging (MRI) are considered gold standards for measuring visceral fat area (VFA). However, their relatively high prices and potential radiation exposure limit their widespread use in clinical practice and everyday life. Therefore, our study aims to develop a VFA estimated equation based on sagittal abdominal diameter (SAD) and transverse abdominal diameter (TAD) using anthropometric indexes. To the best of our knowledge, there have been limited studies investigating this aspect thus far.MethodsThis study was designed as a cross-sectional, retrospective cohort survey. A total of 288 patients (167 males and 121 females) aged 18–80 with type 2 diabetes (T2D) were consecutively collected from a multicenter hospital, and VFA was measured by CT. Subsequently, variables highly correlated with VFA were screened through general linear correlation analysis. A stepwise regression analysis was then conducted to develop a VFA estimated equation. Discrepancies between the estimated and actual VFA values were assessed using the Bland-Altman method to validate the accuracy of the equation.ResultsIn the female T2D population, triglyceride (TG), SAD, TAD were found to be independently correlated with VFA; in the male T2D population, BMI, TG, SAD and TAD showed independent correlations with VFA. Among these variables, SAD exhibited the strongest correlation with VFA (r = 0.83 for females, r = 0.88 for males), followed by TAD (r = 0.69 for females, r = 0.79 for males). Based on these findings, a VFA estimated equation was developed for the T2D population: VFA (male) =-364.16 + 15.36*SAD + 0.77*TG + 9.41*TAD − 5.00*BMI (R2 = 0.75, adjusted R2 = 0.74); VFA(female)=-170.87 + 9.72*SAD-24.29*(TG^-1) + 3.93*TAD (R2 = 0.69, adjusted R2 = 0.68). Both models demonstrated a good fit. The Bland-Altman plot indicated a strong agreement between the actual VFA values and the estimated values, the mean differences were close to 0, and the majority of differences fell within the 95% confidence interval.ConclusionsIn the T2D population, a VFA estimated equation is developed by incorporating SAD and TAD along with other measurement indices. This equation demonstrates a favorable estimated performance, suggesting to the development of novel and practical VFA estimation models in the future study.

Prevalence of diabetic cardiomyopathy in patients with type 2 diabetes in a large academic medical center

BackgroundDiabetic cardiomyopathy (DbCM) is characterized by asymptomatic stage B heart failure (SBHF) caused by diabetes-related metabolic alterations. DbCM is associated with an increased risk of progression to overt heart failure (HF). The prevalence of DbCM in patients with type 2 diabetes (T2D) is not well established. This study aims to determine prevalence of DbCM in adult T2D patients in real-world clinical practice.MethodsRetrospective multi-step review of electronic medical records of patients with the diagnosis of T2D who had echocardiogram at UC San Diego Medical Center (UCSD) within 2010–2019 was conducted to identify T2D patients with SBHF. We defined “pure” DbCM when SBHF is associated solely with T2D and “mixed” SBHF when other medical conditions can contribute to SBHF. “Pure” DbCM was diagnosed in T2D patients with echocardiographic demonstration of SBHF defined as left atrial (LA) enlargement (LAE), as evidenced by LA volume index ≥ 34 mL/m2, in the presence of left ventricular ejection fraction (LVEF) ≥ 45%, while excluding overt HF and comorbidities that can contribute to SBHF.ResultsOf 778,314 UCSD patients in 2010–2019, 45,600 (5.9%) had T2D diagnosis. In this group, 15,182 T2D patients (33.3%) had echocardiogram and, among them, 13,680 (90.1%) had LVEF ≥ 45%. Out of 13,680 patients, 4,790 patients had LAE. Of them, 1,070 patients were excluded due to incomplete data and/or a lack of confirmed T2D according to the American Diabetes Association recommendations. Thus, 3,720 T2D patients with LVEF ≥ 45% and LAE were identified, regardless of HF symptoms. In this group, 1,604 patients (43.1%) had overt HF and were excluded. Thus, 2,116 T2D patients (56.9% of T2D patients with LVEF ≥ 45% and LAE) with asymptomatic SBHF were identified. Out of them, 1,773 patients (83.8%) were diagnosed with “mixed” SBHF due to comorbidities such as hypertension (58%), coronary artery disease (36%), and valvular heart disease (17%). Finally, 343 patients met the diagnostic criteria of “pure” DbCM, which represents 16.2% of T2D patients with SBHF, i.e., at least 2.9% of the entire T2D population in this study.ConclusionsOur findings provide insights into prevalence of DbCM in real-world clinical practice and indicate that DbCM affects a significant portion of T2D patients.

Interplay Between the American Diabetes Association's ABC Targets for Diabetes, Insulin Resistance Indices, and Dyslipidemia in Indian Type 2 Diabetes Patients.

Background The increasing incidence of type 2 diabetes (T2D) in India underscores the pressing need for effective management strategies. Meeting the American Diabetes Association (ADA) ABC targets for diabetes (glycated hemoglobin (HbA1c), blood pressure, and serum low-density lipoprotein cholesterol (LDL-C)) is crucial for effectively managing T2D, as it reflects the optimal control of key metabolic parameters. Insulin resistance (IR) and impaired beta cell function (BCF) have been found to have a significant impact on glycemic control, lipid metabolism, and hypertension, contributing to the complex cardiovascular risk profile of patients with T2D. This study aimed to explore the association between ABC targets for diabetes, IR, BCF, and dyslipidemia in a cross-sectional cohort of T2D patients. Methods This retrospective study examined data from 681 T2D patients with comorbid hypertension and dyslipidemia. The patients were part of a one-year online lifestyle intervention program for diabetes management at the Freedom from Diabetes Clinic in Pune, India, between January 2021 and December 2022. Baseline data (at the time of enrollment in the program) on medical history and anthropometric and biochemical parameters were retrospectively extracted from medical records and used to assess ABC targets and other clinical parameters. The ABC targets for diabetes include three goals: an HbA1c level of less than 7.0%, a blood pressure level of less than 140/90 mmHg, and an LDL-C level of less than 100 mg/dL. Homeostatic Model Assessment of Insulin Resistance (HOMA-IR), Homeostatic Model Assessment of Beta Cell Function (HOMA-B), and Quantitative Insulin Sensitivity Check Index (QUICKI) were calculated using standard formulas. Results Cross-sectional analysis at baseline showed that 152 (22.3%) participants met all three ABC targets, 306 (45.0%) and 183 (26.8%) participants met two or one targets, respectively, and 40 (5.9%) did not meet any of the ABC targets. Participants meeting all three targets showed significantly lower IR, higher sensitivity (HOMA-IR, median 2.1; QUICKI, median 0.34), higher BCF (HOMA-B, median 62.9), and healthier lipid profiles (mg/dL) (total cholesterol, median 126; triglycerides, median 114; and non-high-density lipoprotein (HDL), median 84) than those who did not meet any of the ABC targets (HOMA-IR, median 3.4; QUICKI, median 0.31; HOMA-B, median 31.7; total cholesterol, median 221; triglycerides, median 187; and non-HDL, median 182) (p < 0.01). A significant association was observed between lower BMI (< 25 kg/m2), lower IR (HOMA-IR <2.5), and meeting all three ABC targets (p < 0.01). No significant association was observed between the duration of diabetes and ABC target status (p > 0.1). Lower IR was identified as a predictor of achievement of all three ABC targets (p < 0.01). Conclusion This study highlights the significance of meeting ABC targets for diabetes in relation to not only a better lipid profile but also lower IR and higher BCF. These preliminary findings provide novel insights into the interplay between IR, BCF, dyslipidemia, and meeting ABC targets in an Indian T2D population. These findings highlight the need for effective diabetes management strategies and improved patient outcomes, considering factors such as BMI and IR indices.

Association of physical activity and sports participation with insulin resistance and non-alcoholic fatty liver disease in people with type 1 diabetes.

To evaluate the association between physical activity (PA) and sports participation with insulin resistance and non-alcoholic fatty liver disease (NAFLD) in people with type 1 diabetes (T1D). People with T1D from a secondary and tertiary care centre were included. Questionnaire-derived PA was expressed in metabolic equivalent of task hours per week (METh/week). Insulin sensitivity was calculated with the estimated glucose disposal rate (eGDR). NAFLD was assessed by transient elastography (TE). Multivariate linear and logistic regression models were conducted, adjusted for age, sex, diabetes duration and BMI. In total, 254 participants were included (men 56%, age 44 ± 14 years, diabetes duration 24 ± 14 years, median BMI 24.8 kg/m2), of which 150 participants underwent TE. Total PA (median 50.7 METh/week) was not significantly associated with insulin resistance (median eGDR 7.31 mg/kg/min) (beta -0.00, 95% CI -0.01 to 0.00) or with NAFLD (OR 1.00, 95% CI 0.99-1.01). Participating in sports was significantly associated with eGDR (beta 0.94, 95% CI 0.48-1.41) and with NAFLD (OR 0.21, 95% CI 0.08-0.56). In our T1D population, we could not find any dose-dependent association between PA, insulin resistance and NAFLD. People participating in sports had a lower degree of insulin resistance and lower odds for NAFLD.

Reducing Inequity in the Use of Automated Insulin Delivery Systems by Adults With Type 1 Diabetes: Key Learnings From a Safety Net Diabetes Clinic Program

BackgroundRecent advancements in diabetes technology have significantly improved Type 1 diabetes (T1D) management, but disparities persist, particularly in the adoption of automated insulin delivery (AID) systems within minoritized communities. We aimed to improve patient access to AID system training and overcome clinical inertia to referral. MethodsWe report on a transformative program implemented at Boston Medical Center, the largest safety-net hospital in New England, aimed at reducing disparities in AID system utilization. We employed a multidisciplinary team and quality improvement principles to identify barriers and develop solutions. Strategies included increasing access to diabetes educators, creating a referral system, and developing telemedicine education classes. We also made efforts to raise clinician awareness and confidence in recommending AID therapy. ResultsAt baseline, 13.5% of our clinic T1D population was using an insulin pump. The population referred included 97 people with T1D (49% female, mean A1c 8.7%, 68% public insurance beneficiaries, 25% Hispanic and 25% non-Hispanic Black). Results from the first year showed a 166% increase in AID system use rates, with 64% of referred patients starting on AID. Notably, 78% of patients with A1c >8.5% adopted AID systems, addressing a gap in representation observed in clinical efficacy trials. The initiative successfully narrowed disparities in AID use among minoritized populations. ConclusionsThe program's success among minoritized patients underscores the significance of tailored, collaborative, team-based care and targeted educational initiatives. Our experience provides a foundation for future efforts to ensure equitable access to diabetes technologies, emphasizing the potential of local quality improvement interventions.

Association of sodium-glucose cotransporter 2 inhibitors with risk of major adverse cardiovascular events in type 2 diabetes patients with acute coronary syndrome: a propensity score‑matched analysis

BackgroundThis study aimed to investigate the association of sodium-glucose cotransporter 2 inhibitors (SGLT2i) use with cardiovascular (CV) clinical outcomes in type 2 diabetes (T2D) patients with acute coronary syndrome (ACS).MethodsData of T2D patients hospitalized for ACS at Civil Aviation General Hospital from January 2019 to December 2022 were collected. Based on SGLT2i use or not, patients were stratified as SGLT2i group and SGLT2i-free group. A 1:1 nearest-neighbor propensity score-matched (PSM) was performed to adjust for the confounding factors and facilitate the robust comparisons between groups. The first occurrence of major adverse cardiovascular events (MACE) with 1 year follow-up, which consisted of CV death, all cause death, non-fatal myocardial infarction or stroke, coronary revascularization or heart failure readmission, was assessed. Kaplan–Meier analysis and Cox regressions were conducted to evaluate the prognostic significance of SGLT2i use. Subgroup analyses were performed to assess the interaction between subgroups and SGLT2i use.ResultsA total of 925 patients were included, and the SGLT2i use increased from 9.9% in 2019 to 43.8% in 2022. 226 pairs were finally matched using the PSM model. During 1 year follow-up period, a total of 110 patients experienced MACE in the matched cohort, with a rate of 24.3%. Survival analyses showed cumulative incidence of MACE, CV death, and heart failure readmission in the SGLT2i group were significantly lower than the SGLT2i-free group. Additionally, the adjusted Cox analyses demonstrated that SGLT2i was associated with a 34.1% lower risk of MACE (HR 0.659, 95% CI 0.487–0.892, P = 0.007), which was primarily driven by a decrease in the risk of CV death by 12.0% (HR 0.880, 95% CI 0.7830.990, P = 0.033), and heart failure readmission by 45.5% (HR 0.545, 95% CI 0.332–0.893, P = 0.016). This MACE preventive benefit was consistent across different subgroups (P interaction > 0.05 for all comparisons).ConclusionsIn T2D patients with ACS, there was a clear increasing trend in SGLT2i use. SGLT2i was associated with a significantly lower risk of MACE, driven by the decrease in the risk of CV death, and heart failure readmission. Our study confirmed real-world use and efficacy of SGLT2i in a general T2D population with ACS.

Metformin and other anti-diabetic medication use and breast cancer incidence in the Nurses' Health Studies.

We aimed to examine the association between the use of metformin and other anti-diabetic medications and breast cancer incidence within two large prospective cohort studies. We followed 185,181 women who participated in the Nurses' Health Study (NHS; 1994-2016) and the NHSII (1995-2017), with baseline corresponding to the date metformin was approved for type 2 diabetes (T2D) treatment in the US Information on T2D diagnosis, anti-diabetes medications, and other covariates was self-reported at baseline and repeatedly assessed by follow-up questionnaires every 2 years. Breast cancer cases were self-reported and confirmed by medical record review. Hazard ratios (HRs) and 95% confidence intervals (CIs) for the association between medication use and breast cancer were estimated using Cox proportional hazards regression models, adjusting for breast cancer risk factors. During 3,324,881 person-years of follow-up, we ascertained 9,192 incident invasive breast cancer cases, of which 451 were among women with T2D. Compared with women without T2D (n = 169,263), neither metformin use (HR = 0.97; 95% CI = 0.81-1.15) nor other anti-diabetic medications use (HR = 1.11; 95% CI = 0.90-1.36) associated with significantly lower breast cancer incidence. Among women with T2D (n = 15,918), compared with metformin never users, metformin ever use was not significantly inversely associated with breast cancer (HR = 0.92; 95% CI = 0.74-1.15). Although we observed that past use of metformin was inversely associated with breast cancer in the T2D population (HR = 0.67; 95% CI = 0.48-0.94), current use (HR = 1.01; 95% CI = 0.80-1.27) and longer duration of metformin use were not associated with breast cancer (each 2-year interval: HR = 1.01; 95% CI = 0.95-1.07). Overall, metformin use was not associated with the risk of developing breast cancer among the overall cohort population or among women with T2D.

Elite Cyclists with Type 1 Diabetes Show Acceptable Glycemic Excursions During a Time-Trial Performance Under High-Definition Transcranial Direct Current Stimulation

ObjectiveTo evaluate the effects of bilateral dorsolateral prefrontal cortex high-definition transcranial direct current stimulation (HD-tDCS) on glycemic excursions during a time-trial performance in elite cyclists with type 1 diabetes (T1D). MethodsIn a double-blind, randomized crossover order, 9 elite cyclists with T1D (no complications) underwent either HD-tDCS (F3 and F4) or control (SHAM) and completed a constant-load trial at 75% of the second ventilatory threshold plus a 15-km cycling time trial. ResultsReal-time continuous glucose monitoring revealed similar glycemic variability between the 2 conditions, showing a significant effect of time but no interaction (stimulation × time) or stimulation effect. ConclusionBecause glycemic control is crucial for both health and performance, these findings suggest that HD-tDCS could be safely used to enhance performance in athletes with T1D and potentially in a broader active T1D population.

An elevated urinary albumin-to-creatinine ratio increases the risk of incident cardia-cerebrovascular disease in individuals with type 2 diabetes

AimsWe aimed to explore the associations between urine albumin-to-creatinine ratio (uACR) and cardia-cerebrovascular disease (CVD) in Chinese population with type 2 diabetes(T2D).MethodsWe included 8975 participants with T2D but free of prevalent CVD (including myocardial infarction, ischemic and hemorrhagic stroke) at baseline from Kailuan study who were assessed with uACR between 2014 and 2016. The participants were divided into three groups based on their baseline uACR: normal (< 3 mg/mmol), microalbuminuria (3–30 mg/mmol), and macroalbuminuria (≥ 30 mg/mmol). Cox regression models and restricted cubic spline were used to evaluate the hazard ratios (HRs) and 95% confidence intervals (CIs) of incident CVD. The area under the receiver operating characteristic curve (AUC), net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were used to see if incorporating uACR into existing models could improve performance.ResultsDuring a median follow-up of 4.05 years, 560 participants developed first CVD event (6.24%). After adjustment for potential confounders, participants with microalbuminuria had higher risks of CVD compared with normal uACR, with HRs of 1.57(95% CI 1.04–2.37) for myocardial infarction, 1.24(95% CI 1.00–1.54) for ischemic stroke,1.62(95% CI 0.73–3.61) for hemorrhagic stroke, and 1.30(95% CI 1.07–1.57) for total CVD. The risks gradually attenuated with uACR increase, with HRs of 2.86(95% CI 1.63–5.00) for myocardial infarction, 2.46(95% CI 1.83–3.30) for ischemic stroke, 4.69(95% CI 1.72–12.78) for hemorrhagic stroke, and 2.42(95% CI 1.85–3.15) for total CVD in macroalbuminuria. The addition of uACR to established CVD risk models improved the CVD risk prediction efficacy.ConclusionsIncreasing uACR, even below the normal range, is an independent risk factor for new-onset CVD in T2D population. Furthermore, uACR could improve the risk prediction for CVD among community based T2D patients.