Author: sugaradmin

Introduction and Objective: Besides injection site avoidance, there is no treatment for lipohypertrophy (LH), a common complication of insulin therapy associated with variable, impaired insulin absorption and suboptimal glycemic control. We investigated a tension offloading patch (embrace®, approved to reduce post-incisional scarring) in adults with T1DM and LH.Methods: Participants with T1DM ≥3 years, aged 18-65, […]

Introduction and Objective: Diabetic foot ulceration is a complication of diabetes which may lead to lower extremity amputation and disability with impaired quality of life. It disproportionately affects persons of minority ethnic backgrounds who also have poorer outcomes. This study aims to develop a culturally appropriate diabetic foot education tool for foot ulcer prevention and […]

Introduction and Objective: This post hoc analysis assessed efficacy and hypoglycemia outcomes with once-weekly insulin icodec (icodec) vs once-daily (OD) basal insulin comparators in insulin-naive (ONWARDS 1, 3, 5) and insulin-experienced (ONWARDS 2, 4) adults with T2D by diabetes duration at baseline.Methods: Treatment outcomes were analyzed, by trial, across baseline T2D duration subgroups (<5, 5-<10, […]

Introduction and Objective: The recent FDA-approved drug, Tirzepatide, a dual GIP and GLP-1 receptor agonist, showed superior efficacy in type-2 diabetes mellitus management and weight reduction. Awareness of the real-world incidence of adverse events(AEs) is crucial for a clinician to advise optimal treatment that ensures the best quality of life for the patient. While RCT-based […]

Introduction and Objective: This post hoc analysis investigated whether IcoSema, a once-weekly (OW) combination therapy of basal insulin icodec and the GLP-1 analog semaglutide currently in development, offers a postprandial glucose (PPG) control benefit vs other insulin-based regimens.Methods: COMBINE 1 and 3, two 52-week, phase 3a trials, investigated IcoSema vs OW basal insulin (icodec; COMBINE […]

Introduction and Objective: Integrating digital health and machine learning (ML) is reforming clinical care by offering a personalized, data-driven approach to optimize interventions. This study utilizes Dario’s digital health platform data to gain insights into blood glucose (BG) patterns influenced by clinical and engagement factors, for developing personalized interventions.Methods: Retrospective data analysis was performed on […]

Introduction and Objective: The Soli-SWITCH study assessed the efficacy and safety of switching to iGlarLixi, an injectable fixed-ratio combination therapy of insulin glargine 100 U/mL + lixisenatide, in people with T2DM uncontrolled on premix insulin in a clinical trial setting. The aim of the study is to assess the efficacy and safety of such transition […]

Introduction and Objective: Nearly half of US adults with type 2 diabetes (T2D) fail to achieve glycemic control (A1c<7%), increasing complication risks. The American Diabetes Association recommends system-level strategies to optimize care delivery, yet the real-world impact of population-based programs on A1c control remains unclear. This study examined the association between three key components of […]

Introduction and Objective: Accurate initial insulin dosing is essential for optimal glycemic control in type 2 diabetes patients with insulin pumps. Traditional weight-based estimations lack precision due to the heterogeneity of type 2 diabetes, underscoring the need for advanced predictive approaches. This study developed machine learning models to enhance the accuracy of initial premeal and […]

Introduction and Objective: Obesity, as measured by body mass index (BMI), is associated with sleep deficiency and disorders; however, body fat distribution is a more accurate measure. Our aim was to evaluate the association between regional body fat distribution and sleep patterns using questionnaires and 24-hour actigraphy.Methods: The Dallas Heart and Minds Study is a […]