Closed-loop therapy: recent advancements and potential predictors of glycemic outcomes.

Expert opinion on drug delivery Pub Date : 2025-06-01 Epub Date: 2025-04-18 DOI:10.1080/17425247.2025.2492363
Chloë Royston, Roman Hovorka, Charlotte K Boughton
{"title":"Closed-loop therapy: recent advancements and potential predictors of glycemic outcomes.","authors":"Chloë Royston, Roman Hovorka, Charlotte K Boughton","doi":"10.1080/17425247.2025.2492363","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Hybrid closed-loop systems have become the standard of care for managing type 1 diabetes (T1D). Both clinical trials and real-world data have demonstrated that these systems improve glycemic control without increasing the risk of hypoglycemia, while also reducing the overall burden of T1D management. A systematic literature search was conducted using PubMed for studies including individuals with T1D that were published until the end of 2024.</p><p><strong>Areas covered: </strong>In this review, we summarize the safety and efficacy of currently available hybrid closed-loop systems, drawing from key clinical trials and real-world data analyses. We also highlight recent advancements in closed-loop systems, discuss their limitations and barriers to access, and explore future directions for automated insulin delivery. Finally, we explore potential predictors of outcomes for people with T1D to better understand why some individuals respond better to closed-loop systems than others.</p><p><strong>Expert opinion: </strong>Closed-loop systems are advancing rapidly, with a growing focus on enhancing automation through fully closed-loop systems to improve glycemic control and further reduce the burden of management. Identifying the predictors that influence how individuals respond to closed-loop therapy will enable these systems to be optimized. It is crucial to ensure widespread and equitable access to this advanced technology.</p>","PeriodicalId":94004,"journal":{"name":"Expert opinion on drug delivery","volume":" ","pages":"875-892"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7617697/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Expert opinion on drug delivery","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/17425247.2025.2492363","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/4/18 0:00:00","PubModel":"Epub","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Introduction: Hybrid closed-loop systems have become the standard of care for managing type 1 diabetes (T1D). Both clinical trials and real-world data have demonstrated that these systems improve glycemic control without increasing the risk of hypoglycemia, while also reducing the overall burden of T1D management. A systematic literature search was conducted using PubMed for studies including individuals with T1D that were published until the end of 2024.

Areas covered: In this review, we summarize the safety and efficacy of currently available hybrid closed-loop systems, drawing from key clinical trials and real-world data analyses. We also highlight recent advancements in closed-loop systems, discuss their limitations and barriers to access, and explore future directions for automated insulin delivery. Finally, we explore potential predictors of outcomes for people with T1D to better understand why some individuals respond better to closed-loop systems than others.

Expert opinion: Closed-loop systems are advancing rapidly, with a growing focus on enhancing automation through fully closed-loop systems to improve glycemic control and further reduce the burden of management. Identifying the predictors that influence how individuals respond to closed-loop therapy will enable these systems to be optimized. It is crucial to ensure widespread and equitable access to this advanced technology.

闭环治疗:最近的进展和潜在的预测血糖结局。
混合闭环系统已经成为管理1型糖尿病(T1D)的标准护理。临床试验和实际数据都表明,这些系统在不增加低血糖风险的情况下改善了血糖控制,同时也减轻了T1D管理的总体负担。在PubMed上进行了系统的文献检索,包括截至2024年底发表的T1D患者的研究。涵盖领域:在这篇综述中,我们总结了目前可用的混合闭环系统的安全性和有效性,从关键的临床试验和现实世界的数据分析中得出结论。我们还强调了闭环系统的最新进展,讨论了其局限性和获取障碍,并探讨了自动化胰岛素输送的未来方向。最后,我们探讨了T1D患者预后的潜在预测因素,以更好地理解为什么有些人对闭环系统的反应比其他人更好。专家意见:闭环系统发展迅速,越来越重视通过全闭环系统提高自动化程度,以改善血糖控制,进一步减轻管理负担。确定影响个体对闭环治疗反应的预测因素将使这些系统得到优化。确保广泛和公平地获得这一先进技术至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信