对低血糖的恐惧和糖尿病困扰:通过血糖预测减少恐惧。

IF 4.1 Q2 ENDOCRINOLOGY & METABOLISM Journal of Diabetes Science and Technology Pub Date : 2024-09-01 Epub Date: 2024-08-19 DOI:10.1177/19322968241267886
Dominic Ehrmann, Luigi Laviola, Lilli-Sophie Priesterroth, Norbert Hermanns, Nils Babion, Timor Glatzer
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引用次数: 0

摘要

背景:扩展葡萄糖预测是糖尿病管理中的一项新技术。目前,还没有广泛使用的解决方案。糖尿病(DM)患者可获得趋势箭头等功能,以及与预定义情况相关的有限预测。因此,扩展葡萄糖预测对糖尿病负担和个人报告结果(PROs)的影响尚不清楚:在这项在线调查中,206 名 1 型和 2 型糖尿病(T1D 和 T2D)患者(分别占 70.9% 和 29.1%)参加了 dia-link 在线小组,他们目前都是连续血糖监测仪(CGM)用户。他们被要求想象 30 分钟和一夜的低血糖预测以及长达 2 小时的血糖预测会如何影响他们的糖尿病管理。随后,他们完成了低血糖恐惧调查 II (HFS-II) 和 T1 糖尿病压力量表 (T1-DDS),根据使用血糖预测可能带来的变化,对每个项目进行 5 级评分(-2:严重恶化到 +2:严重改善):在所有血糖预测时段(30 分钟、2 小时以内和夜间),受访者对低血糖恐惧(HFS-II:0.57 ± 0.49)和总体糖尿病困扰(T1-DDS = 0.44 ± 0.49)的预期均有适度改善。T1-DDS与治疗类型或糖尿病没有差异:结论:T1D 和 T2D 患者会认为葡萄糖预测是减少低血糖恐惧和糖尿病困扰的潜在改善措施。因此,血糖预测对他们来说具有降低糖尿病及其管理负担的价值。
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Fear of Hypoglycemia and Diabetes Distress: Expected Reduction by Glucose Prediction.

Background: Extended glucose predictions are novel in diabetes management. Currently, there is no solution widely available. People with diabetes mellitus (DM) are offered features like trend arrows and limited predictions linked to predefined situations. Thus, the impact of extended glucose predictions on the burden of diabetes and person-reported outcomes (PROs) is unclear.

Methods: In this online survey, 206 people with type 1 and type 2 diabetes (T1D and T2D), 70.9% and 29.1%, respectively, who participated in the dia·link online panel and were current continuous glucose monitoring (CGM) users, were presented with different scenarios of hypothetical extended glucose predictions. They were asked to imagine how low glucose predictions of 30 minutes and overnight as well as glucose predictions up to 2 hours would influence their diabetes management. Subsequently, they completed the Hypoglycemia Fear Survey II (HFS-II) and the T1 Diabetes Distress Scale (T1-DDS) by rating each item on a 5-point scale (-2: strong deterioration to +2: strong improvement) according to the potential change due to using glucose predictions.

Results: For all glucose prediction periods, 30 minutes, up to 2 hours, and at nighttime, the surveyed participants expected moderate improvements in both fear of hypoglycemia (HFS-II: 0.57 ± 0.49) and overall diabetes distress (T1-DDS = 0.44 ± 0.49). The T1-DDS did not differ for type of therapy or diabetes.

Conclusions: People with T1D and T2D would see glucose predictions as a potential improvement regarding reduced fear of hypoglycemia and diabetes distress. Therefore, glucose predictions represent a value for them in lowering the burden of diabetes and its management.

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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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