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一项评估具有预测性低血糖警报功能的连续血糖监测对 1 型糖尿病患者体力活动中低血糖影响的随机对照试验(PACE)。

A Randomized Controlled Trial Assessing the Impact of Continuous Glucose Monitoring with a Predictive Hypoglycemia Alert Function on Hypoglycemia in Physical Activity for People with Type 1 Diabetes (PACE).

机构信息

Department of Nutrition & Dietetics, Imperial College Healthcare NHS Trust, London, United Kingdom.

Department of Metabolism, Digestion and Reproduction, Imperial College London, London, United Kingdom.

出版信息

Diabetes Technol Ther. 2024 Feb;26(2):95-102. doi: 10.1089/dia.2023.0376. Epub 2023 Nov 27.

Abstract

Uptake of exercise in people with type 1 diabetes (T1D) is low despite significant health benefits. Fear of hypoglycemia is the main barrier to exercise. Continuous glucose monitoring (CGM) with predictive alarms warning of impending hypoglycemia may improve self-management of diabetes around exercise. To assess the impact of Dexcom G6 real-time CGM system with a predictive hypoglycemia alert function on the frequency, duration, and severity of hypoglycemia occurring during and after regular (≥150 min/week) physical activity in people with T1D. After 10 days of blinded run-in (Baseline), CGM was unblinded and participants randomized 1:1 to have the "urgent low soon" (ULS) alert switched "on" or "off" for 40 days. Participants then switched alerts "off" or "on," respectively, for a further 40 days. Physical activity, and carbohydrate and insulin doses were recorded. Twenty-four participants (8 men, 16 women) were randomized. There was no difference in change from baseline of hypoglycemia <3.0 and <3.9 mmol/L with the ULS on or off during the 24 h after exercise. With ULS alert "on" time spent below 2.8 mmol/L compared with baseline was significantly ( = 0.04) lower than with ULS "off" in the 24 h after exercise. In mixed effects regression, timing of the exercise and baseline HbA1c independently affected risk of hypoglycemia during exercise; exercise timing also affected hypoglycemia risk after exercise. A CGM device with an ULS alert reduces exposure to hypoglycemia below 2.8 mmol/L overall and in the 24 h after exercise compared with a threshold alert.

摘要

尽管运动对 1 型糖尿病(T1D)患者有显著的健康益处,但他们的运动参与率却很低。对低血糖的恐惧是运动的主要障碍。具有预测性警报功能的连续血糖监测(CGM)可以改善运动期间和运动后的糖尿病自我管理。评估 Dexcom G6 实时 CGM 系统与预测性低血糖警报功能对 T1D 患者进行常规(≥150 分钟/周)体力活动期间和之后发生的低血糖的频率、持续时间和严重程度的影响。在为期 10 天的盲法导入期(基线期)后,CGM 被揭盲,参与者以 1:1 的比例随机分为“紧急低血糖快出现”(ULS)警报“开”或“关”,持续 40 天。然后,参与者分别将警报“关”或“开”,各持续 40 天。记录体力活动、碳水化合物和胰岛素剂量。共有 24 名参与者(8 名男性,16 名女性)被随机分组。在运动后 24 小时内,无论 ULS 开或关,低血糖 <3.0 和 <3.9mmol/L 的变化与基线相比无差异。与 ULS 警报“关”相比,运动后 24 小时内 ULS 警报“开”时,低于 2.8mmol/L 的时间显著(=0.04)减少。在混合效应回归中,运动时间和基线 HbA1c 独立影响运动期间发生低血糖的风险;运动时间也影响运动后的低血糖风险。与阈值警报相比,具有 ULS 警报的 CGM 设备可降低总体和运动后 24 小时内发生 2.8mmol/L 以下低血糖的风险。

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