Diabetes Research Centre, University of Leicester, Leicester, UK.
Reseach and development, Abbott Laboratories, Alameda, California, USA.
Diabetes Obes Metab. 2022 Oct;24(10):1976-1982. doi: 10.1111/dom.14782. Epub 2022 Jul 17.
To evaluate the impact of the stay-at-home policy on different glucose metrics for time in range (%TIR 3.9-10 mmol/L), time below range (%TBR < 3.9 mmol/L) and time above range (%TAR > 10 mmol/L) for UK adult FreeStyle Libre (FSL) users within four defined age groups and on observed changes during the coronavirus disease 2019 (COVID-19) pandemic.
Data were extracted from 8914 LibreView de-identified user accounts for adult users aged 18 years or older with 5 or more days of sensor readings in each month from January to June 2020. Age-group categories were based on self-reported age on LibreView accounts (18-25, 26-49, 50-64 and ≥65 years).
In January, prior to the COVID-19 pandemic, the 65 years or older age group had the highest %TIR (57.9%), while the 18-25 years age group had the lowest (51.2%) (P < .001). Within each age group, TIR increased during the analysed months, by 1.7% (26-49 years) to 3.1% (≥65 years) (P < .001 in all cases). %TBR was significantly reduced only in the 26-49 years age group, whereas %TAR was reduced by 1.5% (26-49 years) to 3.0% (≥65 years) (P < .001 in both cases). The proportion of adults achieving both of the more than 70% TIR and less than 4% TBR targets increased from 11.7% to 15.9% for those aged 65 years or older (P < .001) and from 6.0% to 9.1% for those aged 18-25 years (P < .05). Mean daily glucose-sensor scan rates were at least 12 per day and remained stable across the analysis period.
Our data show the baseline glucose metrics for FSL users in the UK across different age groups under usual care. During lockdown in the UK, the proportion of adults achieving TIR consensus targets increased among FSL users.
评估英国成年 FreeStyle Libre(FSL)使用者在四个特定年龄组内的范围内时间(%TIR 3.9-10mmol/L)、范围以下时间(%TBR < 3.9mmol/L)和范围以上时间(%TAR > 10mmol/L)的时间内居家政策对不同血糖指标的影响,并观察在 2019 年冠状病毒病(COVID-19)大流行期间的变化。
从 2020 年 1 月至 6 月每个月至少有 5 天传感器读数的 8914 个 LibreView 去识别用户账户中提取了数据,这些数据来自 18 岁或以上的成年用户。年龄组类别基于 LibreView 账户上的自我报告年龄(18-25、26-49、50-64 和≥65 岁)。
在 COVID-19 大流行之前的 1 月,65 岁或以上年龄组的%TIR 最高(57.9%),而 18-25 岁年龄组最低(51.2%)(P<.001)。在每个年龄组内,TIR 在分析月份内增加,增加了 1.7%(26-49 岁)至 3.1%(≥65 岁)(所有情况下均 P<.001)。仅在 26-49 岁年龄组中%TBR 显著降低,而%TAR 降低了 1.5%(26-49 岁)至 3.0%(≥65 岁)(两种情况下均 P<.001)。在 65 岁或以上的成年人中,达到 70%以上的 TIR 和低于 4%的 TBR 目标的成年人比例从 11.7%增加到 15.9%(P<.001),而在 18-25 岁的成年人中从 6.0%增加到 9.1%(P<.05)。平均每天葡萄糖传感器扫描次数至少为 12 次,并且在整个分析期间保持稳定。
我们的数据显示了英国不同年龄组的 FSL 用户在常规护理下的基线血糖指标。在英国封锁期间,FSL 用户中达到 TIR 共识目标的成年人比例有所增加。