情境意识和主动参与使用混合闭环预测青少年和年轻人的较高时间范围。

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2023-01-01 Epub Date: 2023-05-18 DOI:10.1155/2023/1888738
Laurel H Messer, Paul F Cook, Stephen Voida, Casey Fiesler, Emily Fivekiller, Chinmay Agrawal, Tian Xu, Gregory P Forlenza, Sriram Sankaranarayanan
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引用次数: 0

摘要

背景:患有1型糖尿病的青少年和年轻人的HbA1c水平很高,经常难以自我管理行为和对糖尿病护理的关注。混合闭环系统(HCL),如具有Control IQ技术的t:slim X2(Control IQ),可以帮助改善血糖控制。本研究的目的是评估青少年对血糖控制的情境意识和对control IQ系统的参与,以确定日常血糖控制的重要因素。方法:使用Control IQ的青少年(15-25岁)参加了一项为期两周的前瞻性研究,收集有关Control IQ系统参与的详细信息(药丸、警报等),并询问参与者的年龄和性别,询问他们对血糖水平的认识,每天2-3次,无需检查。混合模型评估了哪些行为和意识项目与时间相关(TIR,70-180 mg/dl,3.9-10.0 mmol/L)。结果:18名青少年/年轻人(平均年龄18±1.86岁,86%为非西班牙裔白人)完成了这项研究。自上次血糖检查以来,对血糖水平的情境意识与时间无关(p=0.8)。在多变量建模中,青少年低估血糖水平(r=-0.22)、收到更多CGM警报(r=-0.31)、,并且有更多的泵活动(r=-0.27)。当青少年对CGM警报做出反应(r=0.20)并将碳水化合物输入推注计算器(r=0.49)时,预测TIR会更高。结论:情境意识是TIR的独立预测因素,可以深入了解可能对青少年血糖结果产生积极影响的注意力和专注模式。主动参与预测更好的TIR,而被动参与预测更低的TIR。未来的干预措施可用于培训用户培养有效糖尿病自我管理的意识和专业知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Situational Awareness and Proactive Engagement Predict Higher Time in Range in Adolescents and Young Adults Using Hybrid Closed-Loop.

Background: Adolescents and young adults with type 1 diabetes have high HbA1c levels and often struggle with self-management behaviors and attention to diabetes care. Hybrid closed-loop systems (HCL) like the t:slim X2 with Control-IQ technology (Control-IQ) can help improve glycemic control. The purpose of this study is to assess adolescents' situational awareness of their glucose control and engagement with the Control-IQ system to determine significant factors in daily glycemic control.

Methods: Adolescents (15-25 years) using Control-IQ participated in a 2-week prospective study, gathering detailed information about Control-IQ system engagements (boluses, alerts, and so on) and asking the participants' age and gender about their awareness of glucose levels 2-3 times/day without checking. Mixed models assessed which behaviors and awareness items correlated with time in range (TIR, 70-180 mg/dl, 3.9-10.0 mmol/L).

Results: Eighteen adolescents/young adults (mean age 18 ± 1.86 years and 86% White non-Hispanic) completed the study. Situational awareness of glucose levels did not correlate with time since the last glucose check (p = 0.8). In multivariable modeling, lower TIR was predicted on days when adolescents underestimated their glucose levels (r = -0.22), received more CGM alerts (r = -0.31), and had more pump engagements (r = -0.27). A higher TIR was predicted when adolescents responded to CGM alerts (r = 0.20) and entered carbohydrates into the bolus calculator (r = 0.49).

Conclusion: Situational awareness is an independent predictor of TIR and may provide insight into patterns of attention and focus that could positively influence glycemic outcomes in adolescents. Proactive engagements predict better TIR, whereas reactive engagement predicted lower TIR. Future interventions could be designed to train users to develop awareness and expertise in effective diabetes self-management.

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