与标准胰岛素治疗相比,晚期混合闭环治疗妊娠期1型糖尿病的成本效益:CRISTAL试验的经济评估

IF 9.6 1区 医学 Q1 MEDICINE, GENERAL & INTERNAL
EClinicalMedicine Pub Date : 2025-02-14 eCollection Date: 2025-03-01 DOI:10.1016/j.eclinm.2025.103106
Salima Azahaf, Kaat Beunen, Nancy Van Wilder, Dominique Ballaux, Gerd Vanhaverbeke, Youri Taes, Xavier-Philippe Aers, Frank Nobels, Liesbeth Van Huffel, Joke Marlier, Dahae Lee, Joke Cuypers, Vanessa Preumont, Sarah E Siegelaar, Rebecca C Painter, Annouschka Laenen, Pieter Gillard, Chantal Mathieu, Jeroen Luyten, Katrien Benhalima
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引用次数: 0

摘要

背景:一项多中心随机对照试验(CRISTAL试验)证明了妊娠期间MiniMed™780G高级混合闭环(AHCL)治疗的安全性和有效性,与标准胰岛素治疗(SoC,主要是开环胰岛素泵治疗)相比,显示出夜间血糖控制改善,低血糖减少,治疗满意度提高。本研究旨在评估AHCL的成本效益,AHCL在1型糖尿病(T1D)孕妇中与SoC相比具有更高的初始成本。方法:建立决策树模型,评估T1D孕妇AHCL与SoC的成本-效果,涵盖妊娠至分娩和产后出院(时间范围为28周)。每个策略的总成本(以2024欧元计)是从医疗保健支付者的角度计算的。基础病例分析从CRISTAL试验中得出与糖尿病管理直接相关的妊娠并发症和住院率。通过探索多种情景和敏感性分析来分析不确定性。研究结果:在基本病例分析中,怀孕期间使用AHCL的成本估计为13,988.75欧元(95% CI: 12,240欧元至16,062欧元),而SoC的成本为14,221.33欧元(95% CI: 12,380欧元至16,420欧元),这表明AHCL可以节省每人232.57欧元的成本,同时也证明了AHCL的临床益处。主要的成本驱动因素是AHCL设备成本。与SoC相比,AHCL组住院时间较短且次数较少(主要是由于严重低血糖和糖尿病失调)所节省的费用抵消了这一成本。在我们的概率敏感性分析中,AHCL在73%的模拟成本效益对中占主导地位。结论:对于T1D孕妇,AHCL可能比SoC更节省成本。然而,需要更可靠的数据来评估AHCL治疗对妊娠和长期健康结局的潜在影响。资助:糖尿病联盟研究基金和美敦力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cost-effectiveness of advanced hybrid closed loop therapy compared to standard insulin therapy for type 1 diabetes in pregnancy: an economic evaluation of the CRISTAL trial.

Background: A multicentre, randomised controlled trial (the CRISTAL trial), demonstrated the safety and efficacy of MiniMed™ 780G advanced hybrid closed loop (AHCL) therapy during pregnancy, showing improved glycaemic control overnight, less hypoglycaemia, and improved treatment satisfaction compared to standard insulin therapy (SoC, mainly open-loop insulin pump therapy). This study aimed to assess the cost-effectiveness of AHCL, which has a higher initial cost, compared to SoC in pregnant women with type 1 diabetes (T1D).

Methods: A decision tree model was developed to estimate the cost-effectiveness of AHCL compared to SoC in pregnant women with T1D, covering pregnancy to birth and postpartum hospital discharge (a time horizon of 28 weeks). Total costs per strategy (in 2024 euros, €) were calculated from a healthcare payer perspective. The base-case analysis derived prevalence of pregnancy complications and hospitalisations directly related to diabetes management from the CRISTAL trial. Uncertainty was analysed by exploring multiple scenarios and sensitivity analyses.

Findings: In the base-case analysis, the cost of using AHCL during pregnancy was estimated at €13,988.75 (95% CI: €12,240 to €16,062) compared to €14,221.33 (95% CI: €12,380 to €16,420) for SoC, indicating cost-savings of €232.57 per individual, alongside the demonstrated clinical benefits of AHCL. The primary cost driver was the AHCL device cost. This cost was offset by savings from shorter and less frequent hospital admissions (mainly due to severe hypoglycaemia and dysregulated diabetes) in the AHCL group compared to SoC. In our probabilistic sensitivity analysis, AHCL was dominant in 73% of the simulated cost-effectiveness pairs.

Interpretation: AHCL might be cost-saving compared to SoC for pregnant women with T1D. However, more robust data are needed to assess the potential impact of AHCL therapy on pregnancy and long-term health outcomes.

Funding: Diabetes Liga Research Fund and Medtronic.

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来源期刊
EClinicalMedicine
EClinicalMedicine Medicine-Medicine (all)
CiteScore
18.90
自引率
1.30%
发文量
506
审稿时长
22 days
期刊介绍: eClinicalMedicine is a gold open-access clinical journal designed to support frontline health professionals in addressing the complex and rapid health transitions affecting societies globally. The journal aims to assist practitioners in overcoming healthcare challenges across diverse communities, spanning diagnosis, treatment, prevention, and health promotion. Integrating disciplines from various specialties and life stages, it seeks to enhance health systems as fundamental institutions within societies. With a forward-thinking approach, eClinicalMedicine aims to redefine the future of healthcare.
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