Suppr超能文献

三诺连续血糖监测系统的准确性和可靠性

Accuracy and Reliability of the Sinocare Continuous Glucose Monitoring System.

作者信息

Bhargava Anuj, McKeating Kristy S, Lin Alvin, Chen Ting

机构信息

Iowa Diabetes Research, West Des Moines, IA, USA.

Abbott Diabetes Care, Alameda, CA, USA.

出版信息

Diabetes Ther. 2025 Jul 24. doi: 10.1007/s13300-025-01773-0.

Abstract

INTRODUCTION

The Sinocare iCan i3 Continuous Glucose Monitoring (CGM) system, manufactured by Sinocare, is available in China and certain European markets. This study aimed to evaluate the performance of this system in a free-living environment.

METHODS

Thirty-six (36) participants, with a diagnosis of either type 1 or type 2 diabetes, wore one Sinocare iCan i3 CGM system on the abdomen for up to 15 days and performed up to eight capillary fingerstick blood glucose tests per day, over the wear period, in a home setting. The CGM sensor performance was compared to the blood glucose meter (BGM) reference and evaluated in terms of analytical and clinical accuracy, as well as sensor survival.

RESULTS

For the study period, the mean absolute relative difference (MARD) was 17.2%. 69.5% of the results were within 20 mg/dL or 20% of the BGM reference, with 98.8% of the data falling within zones A and B of the consensus error grid. 77.1% of the sensors lasted up to the 15 days of sensor wear.

CONCLUSIONS

In this real-world study of the Sinocare iCan i3 CGM system, the accuracy and reliability of the sensors were assessed in comparison to a capillary fingerstick blood glucose reference. The MARD was 17.2% while 77.1% of the sensors lasted the 15-day wear duration.

摘要

简介

由三诺生物生产的三诺iCan i3连续血糖监测(CGM)系统在中国和某些欧洲市场有售。本研究旨在评估该系统在自由生活环境中的性能。

方法

36名1型或2型糖尿病患者在腹部佩戴一台三诺iCan i3 CGM系统长达15天,并在居家期间每天进行多达8次指尖毛细血管血糖检测。将CGM传感器的性能与血糖仪(BGM)参考值进行比较,并从分析准确性、临床准确性以及传感器使用寿命方面进行评估。

结果

在研究期间,平均绝对相对差(MARD)为17.2%。69.5%的结果在BGM参考值的±20 mg/dL或±20%范围内,98.8%的数据落在共识误差网格的A区和B区。77.1%的传感器在佩戴15天期间持续有效。

结论

在这项针对三诺iCan i3 CGM系统的实际研究中,将传感器的准确性和可靠性与指尖毛细血管血糖参考值进行了比较评估。MARD为17.2%,77.1%的传感器持续使用了15天。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验