使用连续血糖监测检测进餐：对人工β细胞的意义。
Detection of a meal using continuous glucose monitoring: implications for an artificial beta-cell.
作者信息
Dassau Eyal, Bequette B Wayne, Buckingham Bruce A, Doyle Francis J
机构信息
Department of Chemical Engineering, University of California Santa Barbara, Santa Barbara, CA 93106-5080, USA.
出版信息
Diabetes Care. 2008 Feb;31(2):295-300. doi: 10.2337/dc07-1293. Epub 2007 Oct 31.
OBJECTIVE
The purpose of this study was to introduce a novel meal detection algorithm (MDA) to be used as part of an artificial beta-cell that uses a continuous glucose monitor (CGM).
RESEARCH DESIGN AND METHODS
We developed our MDA on a dataset of 26 meal events using records from 19 children aged 1-6 years who used the MiniMed CGMS Gold. We then applied this algorithm to CGM records from a DirecNet pilot study of the FreeStyle Navigator continuous glucose sensor. During a research center admission, breakfast insulin was withheld for 1 h, and discrete glucose levels were obtained every 10 min after the meal.
RESULTS
Based on the Navigator readings, the MDA detected a meal at a mean time of 30 min from the onset of eating, at which time the mean serum glucose was 21 mg/dl above baseline (range 2-36 mg/dl), and >90% of meals were detected before the glucose had risen 40 mg/dl from baseline.
CONCLUSIONS
The MDA will enable automated insulin dosing in response to meals, facilitating the development of an artificial pancreas.
目的
本研究旨在引入一种新型进餐检测算法（MDA），作为使用连续血糖监测仪（CGM）的人工β细胞的一部分。
研究设计与方法
我们利用19名年龄在1至6岁使用美敦力CGMS Gold的儿童记录，在一个包含26次进餐事件的数据集上开发了我们的MDA。然后我们将此算法应用于来自FreeStyle Navigator连续血糖传感器的DirecNet试点研究的CGM记录。在研究中心住院期间，早餐胰岛素停用1小时，餐后每10分钟获取离散血糖水平。
结果
基于Navigator读数，MDA在进食开始后平均30分钟时检测到进餐，此时平均血糖比基线高21mg/dl（范围为2 - 36mg/dl），且超过90%的进餐在血糖从基线升高40mg/dl之前被检测到。
结论
MDA将能够根据进餐自动进行胰岛素给药，促进人工胰腺的开发。
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