Objectives: The prevalence and predisposing factors to metabolic dysfunction-associated fatty liver disease (MAFLD) in children with type 1 Diabetes (T1D) living in developing countries are unknown.
Methods: A cross-sectional study was conducted in children with T1D. The presence of liver fat and tissue stiffness were assessed by ultrasonography and shear-wave elastography (SWE), respectively. The SWE values were correlated to body mass index (BMI), glycemic control, disease duration, and gamma-glutamyl transferase (GGT). Healthy non-obese children (n=36) were recruited as controls.
Results: One hundred children with T1D were grouped (Group A-C) according to the disease duration (<5, 5-10, and >10 years, respectively). The mean diabetes duration and glycated hemoglobin were 5.9 ± 4.0 years and 8.2 ± 0.55 %, respectively. The mean SWE values were significantly higher in the patient groups compared to controls (5.07 ± 0.67, 5.27 ± 0.65, 5.16 ± 0.50, vs. 4.80 ± 0.82 kPa, p-value 0.006). The liver stiffness based on SWE showed a positive but weak relationship with BMI, diabetes duration, glycemic control, and GGT levels. A significantly higher number of children with T1D had MAFLD [9(20 %), 7(24.1 %), 7(26.9 %), vs. 1(3 %), p-value <0.001] based on ultrasonography.
Conclusions: Children with T1D showed higher liver stiffness values than controls. A weakly positive relationship of liver stiffness was observed with BMI, duration of diabetes, glycemic control, and serum GGT. Approximately one-fourth of children with diabetes showed sonographic evidence of hepatic steatosis. Larger studies are needed to ascertain the effects of obesity, diabetes duration, and metabolic control on the prevalence and progression of MAFLD in children with T1D.
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http://dx.doi.org/10.1515/jpem-2024-0627 | DOI Listing |
JMIR Diabetes
January 2025
Research Institute, BC Children's Hospital, Vancouver, BC, Canada.
Background: Beyond physical health, managing type 1 diabetes (T1D) also encompasses a psychological component, including diabetes distress, that is, the worries, fears, and frustrations associated with meeting self-care demands over the lifetime. While digital health solutions have been increasingly used to address emotional health in diabetes, these technologies may not uniformly meet the unique concerns and technological savvy across all age groups.
Objective: This study aimed to explore the mental health needs of adolescents with T1D, determine their preferred modalities for app-based mental health support, and identify desirable design features for peer-delivered mental health support modeled on an app designed for adults with T1D.
J Pediatr Endocrinol Metab
January 2025
Pediatrics, Postgraduate Institute of Medical Education & Research, Chandigarh, India.
Objectives: The prevalence and predisposing factors to metabolic dysfunction-associated fatty liver disease (MAFLD) in children with type 1 Diabetes (T1D) living in developing countries are unknown.
Methods: A cross-sectional study was conducted in children with T1D. The presence of liver fat and tissue stiffness were assessed by ultrasonography and shear-wave elastography (SWE), respectively.
Diabetes Obes Metab
January 2025
Department of Women's and Children's Health, University of Otago, Dunedin, New Zealand.
Aims: This study aimed to identify key factors with the greatest influence on glycaemic outcomes in young individuals with type 1 diabetes (T1D) and very elevated glycaemia after 3 months of automated insulin delivery (AID).
Materials And Methods: Data were combined and analysed from two separate and previously published studies with similar inclusion criteria assessing AID (MiniMed 780G) efficacy among young individuals naïve to AID (aged 7-25 years) with glycated haemoglobin A1c (HbA1c) ≥69 mmol/mol (≥8.5%).
Clin Diabetes
September 2024
Center for Endocrinology, Diabetes and Metabolism, Children's Hospital Los Angeles, Los Angeles, CA.
Quality Improvement Success Stories are published by the American Diabetes Association in collaboration with the American College of Physicians and the National Diabetes Education Program. This series is intended to highlight best practices and strategies from programs and clinics that have successfully improved the quality of care for people with diabetes or related conditions. Each article in the series is reviewed and follows a standard format developed by the editors of .
View Article and Find Full Text PDFClin Diabetes
October 2024
T1D Exchange, Boston, MA.
As the learning health network known as the T1D Exchange Quality Improvement Collaborative (T1DX-QI) has expanded on a significant scale to provide care for more than 120,000 people since its inception in 2016, assessing the quality improvement (QI) culture and monitoring clinical outcome improvements of participating centers has become vital to understanding the network's progress and success. Centers participating in the T1DX-QI complete regular QI culture self-assessments to quantify four evidence-based areas of culture: QI team structure, QI foundation, QI capacity, and QI success. This study builds on a previous baseline analysis to demonstrate self-reported improvements in T1DX-QI centers' QI culture from 2021 to 2022 and summarizes QI successes experienced by participating centers.
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