使用混合闭环启动时的血糖风险指数预测12个月时的综合国际血糖目标:来自CIRDIA研究组的结果

IF 3.7 Q2 ENDOCRINOLOGY & METABOLISM
Sylvie Picard, Joëlle Dupont, Fabienne Amiot-Chapoutot, Blandine Courbebaisse, Estelle Personeni, Emmanuelle Lecornet-Sokol, François Mougel, Clara Bouché, Françoise Giroud, Sandrine Lablanche, Sophie Borot
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引用次数: 0

摘要

背景:混合闭环(HCL)治疗有助于1型糖尿病(PwT1D)患者达到有效和安全的血糖指标(ESGT+)。我们分析了PwT1D患者在HCL起始(M0)和12个月(M12)时的血糖风险指数(GRI),并确定M0GRI值和/或M0GRI区(A-B-C-D-E)是否可以识别达到M12ESGT+的患者。方法:回顾性研究。在CIRDIA中心开始HCL治疗的连续PwT1D患者经书面同意纳入。在M0和M12的平台上手动提取葡萄糖参数。ESGT+表示到达范围时间(TIR)为70%,血糖管理指标< 7%,范围下时间(TBR) < 4%, TBR< 1%。计算血糖危险指数,并进行受试者工作特征(ROC)分析,研究M0GRI与M12ESGT+/M12ESGT-之间的关系。结果:128例PwT1D患者获得M12数据。M0GRI对M12ESGT的预测主要针对M0GRI值的高低。M0GRI < 41的特异性为90%,敏感性为36%,M12ESGT+阳性预测值为74%。M0GRI < 61的敏感性增加到80%,特异性下降到56%,M0GRI≥61的阴性预测值为78%。所有M0GRI为0 ~ 20 (A区)的PwT1D均达到M12ESGT+。然后,M12ESGT+人群的百分比在每个M0GRI区(A-B- c - d)下降了约25%,在e区下降了11%。结论:M0GRI与M12ESGT状态显著相关,但主要发生在A-B或D-E区。混合闭环训练应以M0GRI≥41的PwT1D(占M12ESGT-人的90%)为重点,但M0GRI在C-D-E区(占M12ESGT+人的64%)甚至D-E区(占M12ESGT+人的20%)也可以达到M12ESGT+。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of the Glycemia Risk Index at Hybrid Closed-Loop Initiation to Predict Combined International Glucose Targets at 12 Months: Results From the CIRDIA Study Group.

Background: Hybrid closed-loop (HCL) therapy helps reaching efficacy and safety glucose targets (ESGT+) in persons with type 1 diabetes (PwT1D). We analyzed here the glycemia risk index (GRI) in PwT1D at HCL initiation (M0) and at 12 months (M12) and determined whether M0GRI value and/or M0GRI zone (A-B-C-D-E) could identify people reaching M12ESGT+.

Methods: This was a retrospective study. Consecutive PwT1D who started HCL in a CIRDIA center were included after written consent. Glucose parameters were manually extracted from platforms at M0 and M12. ESGT+ meant reaching time in range (TIR) > 70% and glucose management indicator < 7% and time below range (TBR)<70 < 4% and TBR<54< 1%. Glycemia risk index was calculated and receiver-operating characteristic (ROC) analyses were performed to study the relation between M0GRI and M12ESGT+/M12ESGT-.

Results: M12 data were available for 128 PwT1D. M0GRI predicted M12ESGT mostly for low and high M0GRI values. An M0GRI < 41 had a 90% specificity, a 36% sensitivity, and a 74% positive predictive value for M12ESGT+. Sensitivity increased to 80% but specificity dropped to 56% for M0GRI < 61 and M0GRI ≥ 61 had a 78% negative predictive value. All PwT1D with M0GRI 0 to 20 (zone A) reached M12ESGT+. Then, the percentage of M12ESGT+ people dropped about 25% per M0GRI zone (A-B-C-D) and to 11% for zone E.

Conclusions: M0GRI was significantly associated with M12ESGT status but mostly when in zones A-B or D-E. Hybrid closed-loop training should focus on PwT1D with M0GRI ≥ 41 (90% of M12ESGT- persons), but reaching M12ESGT+ is possible with M0GRI in zones C-D-E (64% of M12ESGT+ persons) and even D-E (20% of M12ESGT+ persons).

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来源期刊
Journal of Diabetes Science and Technology
Journal of Diabetes Science and Technology Medicine-Internal Medicine
CiteScore
7.50
自引率
12.00%
发文量
148
期刊介绍: The Journal of Diabetes Science and Technology (JDST) is a bi-monthly, peer-reviewed scientific journal published by the Diabetes Technology Society. JDST covers scientific and clinical aspects of diabetes technology including glucose monitoring, insulin and metabolic peptide delivery, the artificial pancreas, digital health, precision medicine, social media, cybersecurity, software for modeling, physiologic monitoring, technology for managing obesity, and diagnostic tests of glycation. The journal also covers the development and use of mobile applications and wireless communication, as well as bioengineered tools such as MEMS, new biomaterials, and nanotechnology to develop new sensors. Articles in JDST cover both basic research and clinical applications of technologies being developed to help people with diabetes.
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