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使用 Hypo-METRICS 智能手机应用评估 1 型或胰岛素治疗 2 型糖尿病成人的低血糖意识状态与低血糖症状之间的关联。

Associations Between Hypoglycemia Awareness Status and Symptoms of Hypoglycemia Among Adults with Type 1 or Insulin-Treated Type 2 Diabetes Using the Hypo-METRICS Smartphone Application.

机构信息

Department of Diabetes, School of Cardiovascular and Metabolic Medicine and Sciences, Faculty of Life Sciences and Medicine, King's College London, London, United Kingdom.

Diabetes Department, St Vincent's University Hospital, Elm Park, Dublin 4, Ireland.

出版信息

Diabetes Technol Ther. 2024 Aug;26(8):566-574. doi: 10.1089/dia.2023.0596. Epub 2024 Apr 12.

Abstract

This study examined associations between hypoglycemia awareness status and hypoglycemia symptoms reported in real-time using the novel Hypoglycaemia-MEasurement, ThResholds and ImpaCtS (Hypo-METRICS) smartphone application (app) among adults with insulin-treated type 1 (T1D) or type 2 diabetes (T2D). Adults who experienced at least one hypoglycemic episode in the previous 3 months were recruited to the Hypo-METRICS study. They prospectively reported hypoglycemia episodes using the app for 10 weeks. Any of eight hypoglycemia symptoms were considered present if intensity was rated between "A little bit" to "Very much" and absent if rated "Not at all." Associations between hypoglycemia awareness (as defined by Gold score) and hypoglycemia symptoms were modeled using mixed-effects binary logistic regression, adjusting for glucose monitoring method and diabetes duration. Of 531 participants (48% T1D, 52% T2D), 45% were women, 91% white, and 59% used Flash or continuous glucose monitoring. Impaired awareness of hypoglycemia (IAH) was associated with lower odds of reporting autonomic symptoms than normal awareness of hypoglycemia (NAH) (T1D odds ratio [OR] 0.43 [95% confidence interval {CI} 0.25-0.73],  = 0.002); T2D OR 0.51 [95% CI 0.26-0.99],  = 0.048), with no differences in neuroglycopenic symptoms. In T1D, relative to NAH, IAH was associated with higher odds of reporting autonomic symptoms at a glucose concentration <54 than >70 mg/dL (OR 2.18 [95% CI 1.21-3.94],  = 0.010). The Hypo-METRICS app is sensitive to differences in hypoglycemia symptoms according to hypoglycemia awareness in both diabetes types. Given its high ecological validity and low recall bias, the app may be a useful tool in research and clinical settings. The clinical trial registration number is NCT04304963.

摘要

这项研究使用新型 Hypoglycaemia-MEasurement, ThResholds and ImpaCtS(Hypo-METRICS)智能手机应用程序(app),调查了接受胰岛素治疗的 1 型(T1D)或 2 型糖尿病(T2D)成人中低血糖意识状态与实时报告的低血糖症状之间的关联。在过去 3 个月内至少经历过一次低血糖发作的成年人被招募参加 Hypo-METRICS 研究。他们前瞻性地使用该应用程序报告了 10 周的低血糖发作情况。如果强度评分为“有点”到“非常”,则认为存在任何八种低血糖症状,如果评分为“一点也不”,则认为不存在。使用混合效应二元逻辑回归模型,调整血糖监测方法和糖尿病病程,对低血糖意识(根据 Gold 评分定义)与低血糖症状之间的关联进行建模。在 531 名参与者中(48%为 T1D,52%为 T2D),45%为女性,91%为白人,59%使用闪光或连续血糖监测。与正常低血糖意识(NAH)相比,低血糖意识受损(IAH)与报告自主神经症状的几率较低相关(T1D 比值比[OR]0.43[95%置信区间{CI}0.25-0.73],=0.002);T2D OR 0.51[95%CI 0.26-0.99],=0.048),但神经低血糖症状无差异。在 T1D 中,与 NAH 相比,IAH 与血糖浓度<54 时报告自主神经症状的几率较高相关,而血糖浓度>70mg/dL 时报告自主神经症状的几率较低(OR 2.18[95%CI 1.21-3.94],=0.010)。Hypo-METRICS app 能够根据两种类型糖尿病中的低血糖意识,检测到低血糖症状的差异。鉴于其具有高生态效度和低回忆偏差,该应用程序可能是研究和临床环境中的有用工具。临床试验注册号为 NCT04304963。

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