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Diabetes Care:智能持续血糖监测传感器改善血糖监测

2012-12-05 高晓方译 Diabetes Care

糖尿病高血糖智能持续血糖监测
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　　意大利学者的一项研究表明，智能持续血糖监测（sCGM）传感器可显著改善CGM性能，这对于低血糖和高血糖敏感性及人工胰岛装置可能有重要临床影响。论文于2012年11月19日在线发表于《糖尿病护理》（Diabetes Care）杂志。 　　sCGM传感器指输出端配备3个软件模块的商品化CGM传感器，具有实时运行、去噪、强化和预测功能。上述软件模块已在近期的CGM文献中进行报道。此项研究

　　意大利学者的一项研究表明，智能持续血糖监测（sCGM）传感器可显著改善CGM性能，这对于低血糖和高血糖敏感性及人工胰岛装置可能有重要临床影响。论文于2012年11月19日在线发表于《糖尿病护理》（Diabetes Care）杂志。

　　sCGM传感器指输出端配备3个软件模块的商品化CGM传感器，具有实时运行、去噪、强化和预测功能。上述软件模块已在近期的CGM文献中进行报道。此项研究将其应用至Dexcom SEVEN Plus持续血糖监测系统，并在来自于两项临床试验（各纳入12例1型糖尿病患者）的相关数据中对sCGM性能进行了评估。结果显示，去噪模块可使CGM时序平滑性平均改善约57%；强化模块使平均绝对相对差由15.1%降至10.3%；预测模块使低血糖和高血糖预测时间平均提前14分钟。

 

OBJECTIVE 
Reliability of continuous glucose-monitoring (CGM) sensors is key in several applications. In this work we demonstrate that real-time algorithms can render CGM sensors smarter by reducing their uncertainty and inaccuracy and improving their ability to alert for hypo- and hyperglycemic events.
RESEARCH DESIGN AND METHODS 
The smart CGM (sCGM) sensor concept consists of a commercial CGM sensor whose output enters three software modules, able to work in real time, for denoising, enhancement, and prediction. These three software modules were recently presented in the CGM literature and here we apply them to the Dexcom SEVEN Plus continuous glucose monitor. We assessed the performance of the sCGM on data collected in two trials, each containing 12 patients with type 1 diabetes.
RESULTS 
The denoising module improves the smoothness of the CGM time series by an average of ∼57%, the enhancement module reduces the mean absolute relative difference from 15.1 to 10.3%, increases by 12.6% the pairs of values falling in the A-zone of the Clarke error grid, and finally, the prediction module forecasts hypo- and hyperglycemic events an average of 14 min ahead of time.
CONCLUSIONS 
We have introduced and implemented the sCGM sensor concept. Analysis of data from 24 patients demonstrates that incorporation of suitable real-time signal processing algorithms for denoising, enhancement, and prediction can significantly improve the performance of CGM applications. This can be of great clinical impact for hypo- and hyperglycemic alert generation as well in artificial pancreas devices.
    

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    2013-03-01 木头人513

    #Diabetes#

    0

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    2013-10-28 yeaweam

    #持续血糖监测#

    0

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    2013-03-09 ms5439512287675881

    #BET#

    0

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    2013-06-28 ms9608593228839890

    #DIA#

    0

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    2012-12-07 mjldent

    #传感器#

    0

  6. [GetPortalCommentsPageByObjectIdResponse(id=1901027, encodeId=4339190102e2e, content=<a href='/topic/show?id=c097591ed5' target=_blank style='color:#2F92EE;'>#Diabetes#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=22, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=5917, encryptionId=c097591ed5, topicName=Diabetes)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=0045169, createdName=木头人513, createdTime=Fri Mar 01 05:32:00 CST 2013, time=2013-03-01, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1678377, encodeId=ea7316e837714, content=<a href='/topic/show?id=3a5a5635e95' target=_blank style='color:#2F92EE;'>#持续血糖监测#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=38, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=56357, encryptionId=3a5a5635e95, topicName=持续血糖监测)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=c6f627693793, createdName=yeaweam, createdTime=Mon Oct 28 23:32:00 CST 2013, time=2013-10-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1759218, encodeId=adad1e59218fe, content=<a href='/topic/show?id=9bea33520d' target=_blank style='color:#2F92EE;'>#BET#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=23, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=3352, encryptionId=9bea33520d, topicName=BET)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=9a1a37427546, createdName=ms5439512287675881, createdTime=Sat Mar 09 06:32:00 CST 2013, time=2013-03-09, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1636595, encodeId=6efe163659556, content=<a href='/topic/show?id=afda591646' target=_blank style='color:#2F92EE;'>#DIA#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=34, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=5916, encryptionId=afda591646, topicName=DIA)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=987022654425, createdName=ms9608593228839890, createdTime=Fri Jun 28 05:32:00 CST 2013, time=2013-06-28, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1493643, encodeId=c35b1493643e5, content=<a href='/topic/show?id=e3a72586595' target=_blank style='color:#2F92EE;'>#传感器#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=29, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=25865, encryptionId=e3a72586595, topicName=传感器)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=06f59086560, createdName=mjldent, createdTime=Fri Dec 07 04:32:00 CST 2012, time=2012-12-07, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1540163, encodeId=a67e15401630b, content=<a href='/topic/show?id=da548984604' target=_blank style='color:#2F92EE;'>#血糖监测#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=35, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=89846, encryptionId=da548984604, topicName=血糖监测)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=50fd13191418, createdName=jktdtl, createdTime=Fri Dec 07 04:32:00 CST 2012, time=2012-12-07, status=1, ipAttribution=)]
    2012-12-07 jktdtl

    #血糖监测#

    0

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