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1
A Multicenter Performance Evaluation of a Blood Glucose Monitoring System in 21 Leading Hospitals in Spain.西班牙21家顶尖医院对血糖监测系统的多中心性能评估
J Diabetes Sci Technol. 2015 Aug 7;10(1):93-100. doi: 10.1177/1932296815598777.
2
Accuracy Evaluation of Four Blood Glucose Monitoring Systems in Unaltered Blood Samples in the Low Glycemic Range and Blood Samples in the Concentration Range Defined by ISO 15197.四种血糖监测系统在低血糖范围内未改变血样及ISO 15197规定浓度范围内血样中的准确性评估
Diabetes Technol Ther. 2015 Sep;17(9):625-34. doi: 10.1089/dia.2015.0043. Epub 2015 May 19.
3
The surveillance error grid.监测误差网格。
J Diabetes Sci Technol. 2014 Jul;8(4):658-72. doi: 10.1177/1932296814539589. Epub 2014 Jun 13.
4
Evaluation of 12 blood glucose monitoring systems for self-testing: system accuracy and measurement reproducibility.用于自我检测的12种血糖监测系统的评估:系统准确性和测量再现性。
Diabetes Technol Ther. 2014 Feb;16(2):113-22. doi: 10.1089/dia.2013.0208. Epub 2013 Nov 8.
5
Accuracy evaluation of five blood glucose monitoring systems: the North American comparator trial.五种血糖监测系统的准确性评估:北美比较试验
J Diabetes Sci Technol. 2013 Sep 1;7(5):1294-304. doi: 10.1177/193229681300700520.
6
Standards of medical care in diabetes--2013.《糖尿病医疗护理标准——2013》
Diabetes Care. 2013 Jan;36 Suppl 1(Suppl 1):S11-66. doi: 10.2337/dc13-S011.
7
Importance of blood glucose meter and carbohydrate estimation accuracy.血糖仪及碳水化合物估算准确性的重要性。
J Diabetes Sci Technol. 2012 Jul 1;6(4):921-6. doi: 10.1177/193229681200600425.
8
A review of standards and statistics used to describe blood glucose monitor performance.用于描述血糖监测仪性能的标准和统计数据综述。
J Diabetes Sci Technol. 2010 Jan 1;4(1):75-83. doi: 10.1177/193229681000400110.
9
Significant insulin dose errors may occur if blood glucose results are obtained from miscoded meters.如果从编码错误的血糖仪获取血糖结果,可能会出现显著的胰岛素剂量误差。
J Diabetes Sci Technol. 2007 Mar;1(2):205-10. doi: 10.1177/193229680700100211.
10
Strategies for improving glycemic control: effective use of glucose monitoring.改善血糖控制的策略:有效利用血糖监测
Am J Med. 2005 Sep;118(Suppl 9A):27S-32S. doi: 10.1016/j.amjmed.2005.07.054.

在医院环境中,使用ISO 15197:2013准确性标准、共识和监测误差网格分析以及胰岛素剂量误差建模对三种血糖监测系统进行性能评估。

Performance Evaluation of Three Blood Glucose Monitoring Systems Using ISO 15197: 2013 Accuracy Criteria, Consensus and Surveillance Error Grid Analyses, and Insulin Dosing Error Modeling in a Hospital Setting.

作者信息

Bedini José Luis, Wallace Jane F, Pardo Scott, Petruschke Thorsten

机构信息

Core Lab, Hospital Clinic, Barcelona, Spain

Bayer HealthCare LLC, Medical Care, Mishawaka, IN, USA.

出版信息

J Diabetes Sci Technol. 2015 Oct 7;10(1):85-92. doi: 10.1177/1932296815609368.

DOI:10.1177/1932296815609368
PMID:26445813
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4738222/
Abstract

BACKGROUND

Blood glucose monitoring is an essential component of diabetes management. Inaccurate blood glucose measurements can severely impact patients' health. This study evaluated the performance of 3 blood glucose monitoring systems (BGMS), Contour® Next USB, FreeStyle InsuLinx®, and OneTouch® Verio™ IQ, under routine hospital conditions.

METHODS

Venous blood samples (N = 236) obtained for routine laboratory procedures were collected at a Spanish hospital, and blood glucose (BG) concentrations were measured with each BGMS and with the available reference (hexokinase) method. Accuracy of the 3 BGMS was compared according to ISO 15197:2013 accuracy limit criteria, by mean absolute relative difference (MARD), consensus error grid (CEG) and surveillance error grid (SEG) analyses, and an insulin dosing error model.

RESULTS

All BGMS met the accuracy limit criteria defined by ISO 15197:2013. While all measurements of the 3 BGMS were within low-risk zones in both error grid analyses, the Contour Next USB showed significantly smaller MARDs between reference values compared to the other 2 BGMS. Insulin dosing errors were lowest for the Contour Next USB than compared to the other systems.

CONCLUSIONS

All BGMS fulfilled ISO 15197:2013 accuracy limit criteria and CEG criterion. However, taking together all analyses, differences in performance of potential clinical relevance may be observed. Results showed that Contour Next USB had lowest MARD values across the tested glucose range, as compared with the 2 other BGMS. CEG and SEG analyses as well as calculation of the hypothetical bolus insulin dosing error suggest a high accuracy of the Contour Next USB.

摘要

背景

血糖监测是糖尿病管理的重要组成部分。不准确的血糖测量会严重影响患者健康。本研究在常规医院条件下评估了3种血糖监测系统(BGMS),即Contour® Next USB、FreeStyle InsuLinx®和OneTouch® Verio™ IQ的性能。

方法

在一家西班牙医院收集了用于常规实验室检查的静脉血样本(N = 236),使用每种BGMS以及可用的参考(己糖激酶)方法测量血糖(BG)浓度。根据ISO 15197:2013准确性极限标准,通过平均绝对相对差(MARD)、一致性误差网格(CEG)和监测误差网格(SEG)分析以及胰岛素剂量误差模型,比较了这3种BGMS的准确性。

结果

所有BGMS均符合ISO 15197:2013定义的准确性极限标准。在两种误差网格分析中,3种BGMS的所有测量值均处于低风险区域,但与其他两种BGMS相比,Contour Next USB在参考值之间的MARD明显更小。与其他系统相比,Contour Next USB的胰岛素剂量误差最低。

结论

所有BGMS均符合ISO 15197:2013准确性极限标准和CEG标准。然而,综合所有分析,可能会观察到具有潜在临床相关性的性能差异。结果表明,与其他两种BGMS相比,Contour Next USB在测试的血糖范围内MARD值最低。CEG和SEG分析以及假设的大剂量胰岛素给药误差计算表明Contour Next USB具有较高的准确性。