Cost-Effectiveness of Closed-Loop Automated Insulin Delivery Using the Cambridge Hybrid Algorithm in Children and Adolescents With Type 1 Diabetes: Results from a Multicenter 6-Month Randomized Trial.

IF 3.7 Q2 ENDOCRINOLOGY & METABOLISM
D Steven Fox, Julia Ware, Charlotte K Boughton, Janet M Allen, Malgorzata E Wilinska, Martin Tauschmann, Louise Denvir, Ajay Thankamony, Fiona Campbell, R Paul Wadwa, Bruce A Buckingham, Nikki Davis, Linda A DiMeglio, Nelly Mauras, Rachel E J Besser, Atrayee Ghatak, Stuart A Weinzimer, Lauren Kanapka, Craig Kollman, Judy Sibayan, Roy W Beck, Korey K Hood, Roman Hovorka
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引用次数: 0

Abstract

Background/objective: The main objective of this study is to evaluate the incremental cost-effectiveness (ICER) of the Cambridge hybrid closed-loop automated insulin delivery (AID) algorithm versus usual care for children and adolescents with type 1 diabetes (T1D).

Methods: This multicenter, binational, parallel-controlled trial randomized 133 insulin pump using participants aged 6 to 18 years to either AID (n = 65) or usual care (n = 68) for 6 months. Both within-trial and lifetime cost-effectiveness were analyzed. Analysis focused on the treatment subgroup (n = 21) who received the much more reliable CamAPS FX hardware iteration and their contemporaneous control group (n = 24). Lifetime complications and costs were simulated via an updated Sheffield T1D policy model.

Results: Within-trial, both groups had indistinguishable and statistically unchanged health-related quality of life, and statistically similar hypoglycemia, severe hypoglycemia, and diabetic ketoacidosis (DKA) event rates. Total health care utilization was higher in the treatment group. Both the overall treatment group and CamAPS FX subgroup exhibited improved HbA1C (-0.32%, 95% CI: -0.59 to -0.04; P = .02, and -1.05%, 95% CI: -1.43 to -0.67; P < .001, respectively). Modeling projected increased expected lifespan of 5.36 years and discounted quality-adjusted life years (QALYs) of 1.16 (U.K. tariffs) and 1.52 (U.S. tariffs) in the CamAPS FX subgroup. Estimated ICERs for the subgroup were £19 324/QALY (United Kingdom) and -$3917/QALY (United States). For subgroup patients already using continuous glucose monitors (CGM), ICERs were £10 096/QALY (United Kingdom) and -$33 616/QALY (United States). Probabilistic sensitivity analysis generated mean ICERs of £19 342/QALY (95% CI: £15 903/QALY to £22 929/QALY) (United Kingdom) and -$28 283/QALY (95% CI: -$59 607/QALY to $1858/QALY) (United States).

Conclusions: For children and adolescents with T1D on insulin pump therapy, AID using the Cambridge algorithm appears cost-effective below a £20 000/QALY threshold (United Kingdom) and cost saving (United States).

在 1 型糖尿病儿童和青少年患者中使用剑桥混合算法进行闭环自动胰岛素输送的成本效益:为期 6 个月的多中心随机试验结果。
背景/目的:本研究的主要目的是评估剑桥混合闭环自动胰岛素输送(AID)算法与常规护理对 1 型糖尿病(T1D)儿童和青少年患者的增量成本效益(ICER):这项多中心、两国并行对照试验将 133 名使用胰岛素泵的 6 至 18 岁参与者随机分配到 AID(65 人)或常规护理(68 人)中,为期 6 个月。对试验期间和终生成本效益进行了分析。分析的重点是接受更可靠的 CamAPS FX 硬件迭代的治疗亚组(n = 21)及其同期对照组(n = 24)。通过更新的谢菲尔德 T1D 政策模型模拟了终生并发症和成本:在试验过程中,两组患者的健康相关生活质量无差别且无统计学变化,低血糖、严重低血糖和糖尿病酮症酸中毒(DKA)事件发生率在统计学上相似。治疗组的医疗总利用率更高。总体治疗组和 CamAPS FX 亚组的 HbA1C 均有所改善(分别为-0.32%,95% CI:-0.59 至 -0.04;P = .02 和-1.05%,95% CI:-1.43 至 -0.67;P < .001)。建模预测 CamAPS FX 亚组的预期寿命延长了 5.36 年,质量调整生命年 (QALY) 折现为 1.16(英国关税)和 1.52(美国关税)。该亚组的估计 ICER 为 19 324 英镑/QALY(英国)和-3917 美元/QALY(美国)。对于已经使用连续葡萄糖监测仪(CGM)的亚组患者,ICER 为 10 096 英镑/QALY(英国)和-33 616 美元/QALY(美国)。概率敏感性分析得出的平均 ICER 为 19 342 英镑/QALY(95% CI:15 903 英镑/QALY 至 22 929 英镑/QALY)(英国)和-28 283 美元/QALY(95% CI:-59 607 美元/QALY 至 1858 美元/QALY)(美国):结论:对于接受胰岛素泵治疗的 T1D 儿童和青少年,采用剑桥算法的 AID 在低于 20 000 英镑/QALY 临界值(英国)时具有成本效益,而在节省成本(美国)时则具有成本效益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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