儿童1型糖尿病的长期血糖结局:不同自动胰岛素输送系统世代的2年真实世界分析

IF 6.3 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Tim Lührs, Olga Kordonouri, Thekla von dem Berge, Kerstin Remus, Sarah Biester, Kerstin Kapitzke, Thomas Danne, Felix Reschke, Mareike Niemeyer, Jantje Weiskorn, Torben Biester
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引用次数: 0

摘要

目的:评估儿童和青少年1型糖尿病(CwD)患者从非自动化胰岛素治疗转向各种自动化胰岛素输送(AID)系统后血糖控制的长期变化。研究设计和方法:这项单中心回顾性研究纳入了20岁以下的CwD患者,这些患者之前接受过多次每日注射、持续皮下胰岛素输注或预测性低血糖管理系统的治疗。对过渡到AID后12至24个月的真实数据进行了分析。系统包括需要校准的Medtronic MiniMed™670G和非校准系统Medtronic MiniMed™780G和Tandem Control-IQ。评估的结果包括血红蛋白A1c (HbA1c)、范围时间(TIR)、平均葡萄糖、变异系数、血糖危险指数(GRI)、体重指数标准化偏差评分和胰岛素总日剂量(TDD)。非参数测试评估系统间差异和纵向变化。采用多元线性回归分析HbA1c的影响因素。结果:在2019年至2022年期间启动AID的305名CwD中,83名(27.2%)使用670G, 222名(72.8%)使用非校准系统。在所有组中,使用AID可显著改善TIR,时间高于范围(181-250 mg/dL),时间低于范围(P < 0.001)。HbA1c在第一年下降,但在第二年回归基线(P < 0.001)。在24个月时,非校准系统的表现优于670G,显示出较低的HbA1c (7.4% vs. 7.8%, P = 0.021),减少的TDD (0.78 vs. 0.85 IU/kg/天,P = 0.022),并且在自动化模式下的时间更长(95% vs. 73%, P < 0.001)。基线HbA1c、AID类型和年龄是24个月HbA1c的重要预测因子。结论:与先前的治疗方法相比,AID系统改善了关键的血糖结局并减少了低血糖。随着时间的推移,非校准系统显示出优越的性能。然而,最初的HbA1c益处在一年后减弱,这突出了维持长期代谢改善的策略的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Long-Term Glycemic Outcomes in Pediatric Type 1 Diabetes: A 2-Year Real-World Analysis of Different Automated Insulin Delivery Systems Generations.

Objective: To evaluate long-term changes in glycemic control after switching from nonautomated insulin therapy to various automated insulin delivery (AID) systems in children and adolescents with type 1 diabetes (CwD). Research Design and Methods: This monocentric retrospective study included CwD under 20 years of age previously treated with multiple daily injections, continuous subcutaneous insulin infusion, or predictive low glucose management systems. Real-world data from 12 to 24 months following transition to AID were analyzed. Systems included the calibration-requiring Medtronic MiniMed™ 670G and noncalibration systems Medtronic MiniMed™ 780G and Tandem Control-IQ. Outcomes assessed included hemoglobin A1c (HbA1c), time in range (TIR), mean glucose, coefficient of variation, glycemia risk index (GRI), body mass index standardized deviation score, and total daily dose (TDD) of insulin. Nonparametric tests assessed between-system differences and longitudinal changes. Multiple linear regression analyses were performed to investigate factors influencing HbA1c. Results: Among 305 CwD initiating AID between 2019 and 2022, 83 (27.2%) used 670G and 222 (72.8%) used noncalibration systems. Across all groups, AID use led to significant improvements in TIR, time above range (181-250 mg/dL), time below range (<54 mg/dL), mean glucose, and GRI (all P < 0.001). HbA1c declined during the first year but regressed toward baseline in the second year (P < 0.001). At 24 months, noncalibration systems outperformed the 670G, showing lower HbA1c (7.4% vs. 7.8%, P = 0.021), reduced TDD (0.78 vs. 0.85 IU/kg/day, P = 0.022), and greater time in automated mode (95% vs. 73%, P < 0.001). Baseline HbA1c, AID type, and age were significant predictors of 24-month HbA1c. Conclusions: AID systems improve key glycemic outcomes and reduce hypoglycemia compared with prior therapies. Noncalibration systems demonstrate superior performance over time. However, the initial HbA1c benefits wane after the first year, highlighting the need for strategies to sustain long-term metabolic improvements.

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来源期刊
Diabetes technology & therapeutics
Diabetes technology & therapeutics 医学-内分泌学与代谢
CiteScore
10.60
自引率
14.80%
发文量
145
审稿时长
3-8 weeks
期刊介绍: Diabetes Technology & Therapeutics is the only peer-reviewed journal providing healthcare professionals with information on new devices, drugs, drug delivery systems, and software for managing patients with diabetes. This leading international journal delivers practical information and comprehensive coverage of cutting-edge technologies and therapeutics in the field, and each issue highlights new pharmacological and device developments to optimize patient care.
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