Letter: Comments on: Real-World Total Daily Insulin Dose in over 14,000 Young Individuals with Type 1 Diabetes in the United States [0.03%]
来信：关于“美国14000多名青年1型糖尿病患者的真实世界日胰岛素总剂量”一文的评论
Radhika Magotra,Shailendra Thapliyal,Rajesh Prasad Jayaswal et al.
Radhika Magotra et al.
Settings Associated with Optimal Glycemic Outcomes with the Omnipod® 5 Automated Insulin Delivery System: Evidence from Real-World Users with Type 1 Diabetes [0.03%]
与Omnipod®5型自动胰岛素输送系统最佳血糖预后相关的设置：1型糖尿病患者的真实世界证据
Alexandra Sawyer,Emma G Wilmot,Duy Do et al.
Alexandra Sawyer et al.
Objective: Identifying programmable device settings and user behaviors associated with achieving glycemic targets is critical for informing clinical practice and improving outcomes with automated insulin delivery (AID) sy...
Automated Insulin Delivery Systems in Hospitals: A Systematic Review with Meta-Analysis [0.03%]
医院自动化胰岛素输送系统：系统性回顾及元分析
Mikkel T Olsen,Alexandros L Liarakos,Emma G Wilmot et al.
Mikkel T Olsen et al.
Inpatient diabetes management is challenging due to acute illness, variable insulin requirements, and reliance on intermittent point-of-care glucose testing. Both hyperglycemia and hypoglycemia are associated with increased costs, length of...
Predicting Risk for Diabetic Ketoacidosis in Children Recently Diagnosed with Type 1 Diabetes Using the Risk Index for Diabetic Ketoacidosis [0.03%]
利用糖尿病酮症酸中毒风险指数预测新诊断的1型糖尿病患儿的糖尿病酮症酸中毒风险
David D Schwartz,Madhav Erraguntla,Ashwin Raja Shanmuga Raja et al.
David D Schwartz et al.
Early identification of children with type 1 diabetes at heightened risk for diabetic ketoacidosis (DKA) is necessary for preventive intervention. The present study aimed to examine whether an automated electronic medical record-based tool ...
Association Between Longitudinal Time in Range and Albuminuria in Insulin-Treated Diabetes [0.03%]
血糖达标时间与糖尿病患者白蛋白尿的关系：一项纵向研究
Kai Yoshimura,Yuya Miyazaki,Motoko Kobayashi et al.
Kai Yoshimura et al.
Background: Cross-sectional associations between continuous glucose monitoring (CGM) metrics and diabetic kidney disease (DKD) have been reported, but evidence based on longitudinal CGM metrics collected over extended per...
Percent Time Below Range Is Strongly Associated with Clinically Important Level 2 Hypoglycemia Events in Individuals with Type 1 Diabetes [0.03%]
1型糖尿病患者的血糖低于范围的时间百分比与临床重要的二级低血糖事件密切相关
Peter Calhoun,Richard T Liggins,Zoey Li et al.
Peter Calhoun et al.
Objective: To evaluate the relationship between continuous glucose monitoring (CGM)-measured % time
Comparative Analysis of Capillary HbA1c and CGM-Derived GMI Estimates: A Real-World Data from a Single Center [0.03%]
毛细血管HbA1c与连续血糖监测衍生的GMI估计值的比较分析：来自单中心的真实世界数据
Adi Dagan,Michal Yackobovitch-Gavan,Moshe Phillip et al.
Adi Dagan et al.
Introduction and objective: Understanding the relationship between hemoglobin A1c (HbA1c) and continuous glucose monitoring (CGM)-derived Glucose Management Indicator (GMI) is essential for accurate glycemic assessment. T...
Increased Usage of a Diabetes Management App Was Associated with Significant Improvement in Both Glycemic and Non-Glycemic Outcomes for People with Diabetes [0.03%]
糖尿病管理应用程序使用增加与糖尿病患者的血糖和非血糖结局显著改善相关
Michael Mitter,Bernhard Ruch,Josip Zivkovic et al.
Michael Mitter et al.
Introduction: Mobile health applications (apps) have been associated with improved glycemic outcomes in people with diabetes, but the behavioral factors leading to these outcomes remain poorly understood. The aim of this ...
Engagement with an AI- and CGM-Integrated Digital Health Platform Is Associated with Clinically Significant Weight Loss [0.03%]
与集成AI和CGM的数字健康平台互动与临床上显著的体重减轻相关
William Dixon,Stephanie Kim,Grace E Shryack et al.
William Dixon et al.
This article is temporarily under embargo.
Comparing Automated Lyumjev® Delivery with Carbohydrate Counting, Qualitative Meal-Size Estimation, and Fully Closed-Loop in Type 1 Diabetes: A Pilot, Randomized, Crossover Trial [0.03%]
一项针对1型糖尿病患者比较自动输注Lyumjev?与碳水化合物计算、定性餐量估算和完全闭环的先导性随机交叉试验
Carolyne Schumacher,Michael A Tsoukas,Laurent Legault et al.
Carolyne Schumacher et al.
Objective: Determining prandial insulin needs by carbohydrate counting is a challenging task for many people with type 1 diabetes (PwD). We developed a novel automated insulin delivery (AID) system using ultrarapid lispro...