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1型糖尿病患者连续血糖监测的应用。

Use of continuous glucose monitoring in patients with type 1 diabetes.

作者信息

Ellis Samuel L, Naik Ramachandra G, Gemperline Kate, Garg Satish K

机构信息

Barbara Davis Center for Diabetes, University of Colorado Denver, A140, P.O. Box 6511 Aurora, CO 80045, USA.

出版信息

Curr Diabetes Rev. 2008 Aug;4(3):207-17. doi: 10.2174/157339908785294370.

Abstract

The prevalence of type 1 diabetes continues to increase worldwide at a rate higher than previously projected, while the number of patients achieving American Diabetes Association (ADA) glycated hemoglobin (A1c) goals remains suboptimal. There are numerous barriers to patients achieving A1c targets including increased frequency of severe hypoglycemia associated with lowering plasma glucose as measured by lower A1c values. Continuous glucose monitoring (CGM) was first approved for retrospective analysis and now has advanced to the next step in diabetes management with the approval of real-time glucose sensing. Real-time CGM, in short term studies, has been shown to decrease A1c values, improve glucose variability (GV), and minimize the time and number of hypoglycemic events in patients with type 1 diabetes. These products are approved for adjunctive use to self-monitoring of blood glucose (SMBG), but future long-term studies are needed to document their safety, efficacy, ability to replace SMBG as a tool of monitoring, and ultimately utility into closed-loop insulin delivery systems. New algorithms will need to be developed that account for rapid changes in the glucose values, so that accuracy of the sensor data can be maintained. In addition, for better clinical care and usage, algorithms also need to be developed for both patients and the providers to guide them for their ongoing diabetes care.

摘要

1型糖尿病在全球的患病率持续上升,增速高于先前预测,而达到美国糖尿病协会(ADA)糖化血红蛋白(A1c)目标的患者数量仍不理想。患者实现A1c目标存在诸多障碍,包括与较低A1c值所衡量的降低血浆葡萄糖相关的严重低血糖发作频率增加。连续血糖监测(CGM)最初被批准用于回顾性分析,现在随着实时葡萄糖传感的获批,已进入糖尿病管理的下一步。在短期研究中,实时CGM已被证明可降低1型糖尿病患者的A1c值、改善血糖变异性(GV)并减少低血糖事件的时间和次数。这些产品被批准作为血糖自我监测(SMBG)的辅助手段,但需要未来的长期研究来证明其安全性、有效性、作为监测工具替代SMBG的能力以及最终在闭环胰岛素输送系统中的实用性。需要开发新的算法来考虑葡萄糖值的快速变化,以便维持传感器数据的准确性。此外,为了更好地进行临床护理和使用,还需要为患者和医护人员开发算法,以指导他们进行持续的糖尿病护理。

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