JAEB Center for Health Research, Tampa, Florida, USA.
University of Virginia Center for Diabetes Technology, Charlottesville, Virginia, USA.
Diabetes Technol Ther. 2023 May;25(5):329-342. doi: 10.1089/dia.2022.0558. Epub 2023 Apr 12.
To evaluate the effect of hybrid-closed loop Control-IQ technology (Control-IQ) in randomized controlled trials (RCTs) in subgroups based on baseline characteristics such as race/ethnicity, socioeconomic status (SES), prestudy insulin delivery modality (pump or multiple daily injections), and baseline glycemic control. Data were pooled and analyzed from 3 RCTs comparing Control-IQ to a Control group using continuous glucose monitoring in 369 participants with type 1 diabetes (T1D) from age 2 to 72 years old. Time in range 70-180 mg/dL (TIR) in the Control-IQ group ( = 256) increased from 57% ± 17% at baseline to 70% ± 11% during follow-up, and in the Control group ( = 113) was 56% ± 15% and 57% ± 14%, respectively (adjusted treatment group difference = 11.5%, 95% confidence interval +9.7% to +13.2%, < 0.001), an increase of 2.8 h/day on average. Significant reductions in mean glucose, hyperglycemia metrics, hypoglycemic metrics, and HbA1c were also observed. A statistically similar beneficial treatment effect on time in range 70-180 mg/dL was observed across the full age range irrespective of race-ethnicity, household income, prestudy continuous glucose monitor use, or prestudy insulin delivery method. Participants with the highest baseline HbA1c levels showed the greatest improvements in TIR and HbA1c. This pooled analysis of Control-IQ RCTs demonstrates the beneficial effect of Control-IQ in T1D across a broad spectrum of participant characteristics, including racial-ethnic minority, lower SES, lack of prestudy insulin pump experience, and high HbA1c levels. The greatest benefit was observed in participants with the worst baseline glycemic control in whom the auto-bolus feature of the Control-IQ algorithm appears to have substantial impact. Since no subgroups were identified that did not benefit from Control-IQ, hybrid-closed loop technology should be strongly considered for all youth and adults with T1D. Clinical Trials Registry: clinicaltrials.gov; NCT03563313, NCT03844789, and NCT04796779.
评价基于种族/民族、社会经济地位(SES)、研究前胰岛素输送方式(泵或多次每日注射)和基线血糖控制等基线特征的混合闭环控制-IQ 技术(Control-IQ)在随机对照试验(RCT)亚组中的效果。对 3 项 RCT 的数据进行了汇总和分析,这些 RCT 使用连续血糖监测比较了 Control-IQ 组与对照组在 369 名年龄在 2 至 72 岁的 1 型糖尿病(T1D)患者中的疗效。Control-IQ 组( = 256)的 70-180mg/dL 范围内时间(TIR)从基线时的 57%±17%增加到随访时的 70%±11%,而对照组( = 113)分别为 56%±15%和 57%±14%(调整治疗组差异 = 11.5%,95%置信区间为+9.7%至+13.2%, < 0.001),平均每天增加 2.8 小时。还观察到平均血糖、高血糖指标、低血糖指标和 HbA1c 的显著降低。在整个年龄范围内,无论种族-民族、家庭收入、研究前连续血糖监测使用情况或研究前胰岛素输送方式如何,Control-IQ 都表现出统计学上相似的有益治疗效果。HbA1c 基线水平最高的参与者 TIR 和 HbA1c 改善最大。这项 Control-IQ RCT 的汇总分析表明,Control-IQ 在 T1D 中的有益效果广泛存在于各种参与者特征中,包括少数族裔、社会经济地位较低、缺乏研究前胰岛素泵使用经验以及 HbA1c 水平较高的人群。在基线血糖控制最差的参与者中观察到最大的益处,Control-IQ 算法的自动推注功能似乎对此产生了重大影响。由于没有发现未从 Control-IQ 中受益的亚组,因此应强烈考虑将混合闭环技术用于所有 T1D 青少年和成人。临床试验注册处:clinicaltrials.gov;NCT03563313、NCT03844789 和 NCT04796779。