The Importance of Instigating Automated Insulin Delivery Systems at Onset of Type 1 Diabetes: 1-Year Follow-Up of Children and Adolescents from Two Tertiary Pediatric Diabetes Centers.

IF 5.7 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Ivana Rabbone, Silvia Savastio, Valeria Castorani, Eleonora Chiarle, Alessandra Ferrari, Erica Pozzi, Claudio Cavalli, Andrea Scaramuzza
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引用次数: 0

Abstract

To evaluate differences in glucometrics in children and adolescents assigned to automated insulin delivery (AID), predictive low-glucose suspend (PLGS), or multiple daily injections (MDI) in the first month of diabetes management. In this real-world prospective cohort study, all subjects aged 0-18 years with diabetes onset between January 1, 2020, and June 30, 2023, were assigned to MDI (n = 24), PLGS (n = 28), or AID (n = 32) but were allowed to switch after the first 3 months. The primary outcome was HbA1c after 12 months. The mean age (n = 84) was 7.9 ± 3.9 years (range 1-18 years), and 58 were male. After 12 months, HbA1c was significantly lower in the AID group than in the PLGS or MDI groups (AID 6.6% ± 0.6% vs. PLGS 7.4% ± 1.1% vs. MDI 7.6% ± 1.5%, P = 0.001), with better time in range (P = 0.001), time below range (P = 0.01), time above range (P = 0.001), coefficient of variation (P = 0.01), and glucose management indicator (P = 0.001). AID is best started at diabetes onset to optimize glucose control outcomes.

1 型糖尿病发病时启用胰岛素自动给药系统的重要性:两家三级儿童糖尿病中心对儿童和青少年的 1 年随访。
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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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