A Retrospective Real-Life Study to Compare Glycemic Control Between Simplified Meal Size Estimation and Precise Carbohydrates Counting in Type 1 Diabetes Patients Using DBLG1 Hybrid Closed-Loop System.

IF 6.3 2区 医学 Q1 ENDOCRINOLOGY & METABOLISM
Julie Blervaque, Aurélien Vésin, Pierre-Yves Benhamou, Sandrine Lablanche
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Abstract

Objective: Qualitative meal size estimation (QMSE) could be an interesting alternative to precise carbohydrates counting (PCC) for patients equipped with hybrid closed-loop systems (HCL). The aim is to compare postprandial glycemic control following meals declared by QMSE of the DBLG1 system with PCC. Methods: We randomly selected a 20% sample of patients from the commercial database of type 1 diabetes patients equipped with the DBLG1 system in Europe. We assumed that when the carbohydrates (CHO) amount was identical to the predefined average meal value (small, medium, or large meal), the patient used the semiquantitative method, and the corresponding meals were assigned to the QMSE group. The others were assigned to the PCC group. The glucose metrics of the meals were computed during the postprandial period, defined as [tmeal; tmeal + 4 h], provided that there was no other meal during this 4-h period or during the previous 4 h. Results: A total of 1959 patients from seven Western European countries were included (mean HbA1c 7.6% ± 1.2%; mean age 43.9 ± 14.7 years). Overall, 287,000 meals (47%) were declared with PCC and 327,819 (53%) with QMSE and the mean meal size was 47.2 ± 32.5 g and 48.4 ± 28.6 g, respectively. The postprandial TIR was 62.39% ± 30.86% with QMSE and 63.21% ± 30.62% with PCC. The mean TIR difference of 0.81% was statistically significant but not clinically relevant. Time below range (TBR) was low for both methods of declaration (TBR < 70 mg/dL of 1.4% ± 5.0% with QMSE and 1.4% ± 4.8% with PCC). Conclusion: The semi-quantitative CHO declaration achieves similar glycemic results as CHO counting in this retrospective study. This method could help to reduce the burden of diabetes and offers an alternative to patients reluctant to use CHO counting.

一项使用DBLG1混合闭环系统比较1型糖尿病患者简化餐量估算和精确碳水化合物计数之间血糖控制的回顾性现实研究
目的:定性餐量估计(QMSE)可能是混合闭环系统(HCL)患者精确碳水化合物计数(PCC)的一种有趣的替代方法。目的是比较DBLG1系统的QMSE与PCC的餐后血糖控制。方法:我们从欧洲配备DBLG1系统的1型糖尿病患者商业数据库中随机选择20%的患者样本。我们假设当碳水化合物(CHO)的量与预定的平均膳食值(小餐、中餐或大餐)相同时,患者使用半定量方法,并将相应的膳食分配给QMSE组。其余的被分配到PCC组。在餐后期间计算膳食的葡萄糖指标,定义为[tmeal;结果:共纳入来自7个西欧国家的1959例患者(平均HbA1c为7.6%±1.2%,平均年龄为43.9±14.7岁)。总体而言,有287,000顿饭(47%)为PCC, 327,819顿饭(53%)为QMSE,平均餐量分别为47.2±32.5 g和48.4±28.6 g。QMSE的餐后TIR为62.39%±30.86%,PCC的餐后TIR为63.21%±30.62%。平均TIR差为0.81%,差异有统计学意义,但无临床意义。两种方法的TBR均较低(TBR < 70 mg/dL, QMSE为1.4%±5.0%,PCC为1.4%±4.8%)。结论:在这项回顾性研究中,半定量的CHO声明与CHO计数获得了相似的血糖结果。这种方法可以帮助减轻糖尿病的负担,并为不愿使用CHO计数的患者提供另一种选择。
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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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