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意大利在糖尿病管理用连续血糖监测传感器的发展中的贡献。

Italian contributions to the development of continuous glucose monitoring sensors for diabetes management.

机构信息

Department of Information Engineering, University of Padova, Via Gradenigo 6/B, 35131 Padova, Italy.

出版信息

Sensors (Basel). 2012 Oct 12;12(10):13753-80. doi: 10.3390/s121013753.

Abstract

Monitoring glucose concentration in the blood is essential in the therapy of diabetes, a pathology which affects about 350 million people around the World (three million in Italy), causes more than four million deaths per year and consumes a significant portion of the budget of national health systems (10% in Italy). In the last 15 years, several sensors with different degree of invasiveness have been proposed to monitor glycemia in a quasi-continuous way (up to 1 sample/min rate) for relatively long intervals (up to 7 consecutive days). These continuous glucose monitoring (CGM) sensors have opened new scenarios to assess, off-line, the effectiveness of individual patient therapeutic plans from the retrospective analysis of glucose time-series, but have also stimulated the development of innovative on-line applications, such as hypo/hyper-glycemia alert systems and artificial pancreas closed-loop control algorithms. In this review, we illustrate some significant Italian contributions, both from industry and academia, to the growth of the CGM sensors research area. In particular, technological, algorithmic and clinical developments performed in Italy will be discussed and put in relation with the advances obtained in the field in the wider international research community.

摘要

监测血液中的葡萄糖浓度对于糖尿病的治疗至关重要,这种疾病影响着全球约 3.5 亿人(意大利有 300 万),每年导致超过 400 万人死亡,并消耗了国民健康系统预算的很大一部分(意大利占 10%)。在过去的 15 年中,已经提出了几种具有不同侵入性程度的传感器,以便以准连续的方式(最高 1 分钟 1 次的速率)监测较长时间内(最长可达 7 天连续)的血糖。这些连续血糖监测(CGM)传感器为评估个体患者治疗计划的有效性开辟了新的场景,可通过回顾性分析葡萄糖时间序列进行离线评估,但也刺激了创新的在线应用程序的发展,例如低血糖/高血糖警报系统和人工胰腺闭环控制算法。在这篇综述中,我们介绍了意大利在 CGM 传感器研究领域的一些重要的工业和学术贡献。特别是,将讨论在意大利进行的技术、算法和临床方面的发展,并将其与更广泛的国际研究界在该领域取得的进展联系起来。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05f4/3545591/e5f3bcaa13b7/sensors-12-13753f1.jpg

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