Category: Diabetes

Introduction and Objective: Metabolic dysfunction-associated steatotic liver disease (MASLD) is associated with cirrhosis, cardiovascular disease (CVD) and increased mortality in type 2 diabetes. Data in type 1 diabetes (T1D) are limited. We examined the prevalence of and risk factors for MASLD in adults with T1D in the Epidemiology of Diabetes Interventions and Complications (EDIC) study.Methods: […]

Introduction and Objective: Cardiovascular disease (CVD) is a major complication in diabetes, requiring effective risk prediction tools. This study developed an AI-driven scoring system for CVD prediction, comparing machine learning models with the Framingham risk score (FRS).Methods: We analyzed two health datasets, the China Health and Retirement Longitudinal Study (CHARLS) and Shanghai Diabetes Studies (SDS), […]

Introduction and Objective: Low-income populations often use public transit to access healthcare. We hypothesized transit access impacts diabetic foot ulcer (DFU) outcomes as limb salvage requires frequent outpatient visits. We investigated the association between public transit availability and amputation-free survival after DFU hospitalizations.Methods: All patients residing in metropolitan Atlanta and admitted with a DFU to […]

Introduction and Objective: We examined differences in diabetes technology use and their association with diabetic ketoacidosis (DKA) and hypoglycemia, diabetes distress by race/ethnicity in young people with T1D.Methods: Patients between the age of 14 and 25 (n=601) seen in a large U.S. endocrinology clinic were contacted to complete surveys online, including demographic information, the T1D […]

Introduction and Objective: Artificial Intelligence (AI) and Machine Learning (ML) have the potential to improve risk prediction by identifying complex patterns in clinical and laboratory data, surpassing traditional approaches. ML has already shown success in detecting metabolic diseases, including Type 2 Diabetes Mellitus (T2DM). However, the ability to accurately forecast T2DM incidence is even more […]

Introduction and Objective: Ferritin is one of the most reliable markers of body iron stores. While most of the known gene mutations associated with hemochromatosis are observed less frequently in Blacks, mutations in the SL40A1 gene (rarely observed in European ancestry populations), characterized by low hemoglobin and high ferritin levels, is more common in Blacks. […]

Introduction and Objective: In the last decades, the increase in life expectancy has led to a demographic transition into an older adult population. Chronic affections like type-2 diabetes and hypertension increase their incidence in adults. Combined with the aging process, the onset of diabetes or hypertension is exacerbated, however there are few evidences regarding their […]

Introduction and Objective: There is limited evidence about management of multimorbidity among those with diabetes in India.Methods: We conducted a large population representative cross-sectional survey in North and South India (both rural and urban) using multistage cluster random sampling among 12284 adults aged ≥ 30 years. Trained interviewers administered a questionnaire to collect data on […]

Introduction and Objective: Although achieving a healthy weight prior to pregnancy is recommended, data on the association between preconception weight changes and pregnancy outcomes are limited. We examined the relationship between preconception weight trajectories and risk of GDM in a large, diverse cohort.Methods: We conducted a retrospective cohort study of 257,017 pregnancies resulting in singleton, […]

Introduction and Objective: Semaglutide once-weekly(SOW)/Ozempic is used for the management of T2DM and/or obesity (off-label) in Canada. There was a supply shortage of SOW during Oct 2023- Jan 2024. We aimed to explore the glycemic impact, management changes and sentiments related to the shortage.Methods: A phone survey of 159 consenting adults prescribed SOW for T2DM […]