Kimberly Mary M, Vesper Hubert W, Caudill Samuel P, Ethridge Steven F, Archibold Enada, Porter Kimberly H, Myers Gary L
Division of Laboratory Sciences, National Center for Environmental Health, Centers for Disease Control and Prevention, Mailstop F25, 4770 Buford Hwy NE, Atlanta, GA 30341-3724, USA.
Clin Chim Acta. 2006 Feb;364(1-2):292-7. doi: 10.1016/j.cca.2005.07.027. Epub 2005 Sep 6.
The American Diabetes Association recommends that people with diabetes use self-monitoring to control their blood glucose concentration. To assess the need for standardization, we evaluated the variability among 5 of the most common monitors: MediSense Precision Xtra, Ascencia Dex, Prestige Smart System, OneTouch Ultra, and Accu-Chek Advantage.
We took steps to minimize preanalytical variation. We also eliminated user variability by using one trained operator to collect samples and perform all testing. Each monitor was used twice with each participant; one test was performed using an aged strip and the other using a fresh strip. We compared monitors using a separate ANOVA for each concentration range and strip lot.
The total CVs and the within-strip lot CVs were not statistically different among monitors, ranging from 3.1% to 11.3% and from 2.1% to 8.5%, respectively. There were statistically significant differences among monitors for among-strip lot CVs, which ranged from nearly 0% to 7.5%. The degree of significance increased as the concentration range increased [3.9-5.5 mmol/l: p<0.05; 5.6-7.7 mmol/l: p =0.003; 7.8-11.1 mmol/l: p < 0.001]. The average percent difference between monitor pairs was statistically significant (p < 0.05) in more than half of the paired comparisons, with significant differences ranging from 5.7% to 32.0%.
Monitor results can vary significantly so that agreement among them is poor. Standardization is necessary to minimize variability and to improve patient care.
美国糖尿病协会建议糖尿病患者使用自我监测来控制血糖浓度。为评估标准化的必要性,我们评估了5种最常用血糖仪之间的差异:美迪信Precision Xtra、雅培Ascencia Dex、威望智能系统、稳豪倍优型和罗氏优越型。
我们采取措施尽量减少分析前的差异。我们还通过让一名经过培训的操作人员采集样本并进行所有检测来消除用户差异。每个参与者对每种血糖仪都使用两次;一次检测使用老化试纸条,另一次使用新鲜试纸条。我们针对每个浓度范围和试纸批次,使用单独的方差分析来比较血糖仪。
血糖仪之间的总变异系数(CVs)和试纸批次内变异系数在统计学上无差异,分别为3.1%至11.3%和2.1%至8.5%。血糖仪之间的试纸批次间变异系数存在统计学显著差异,范围从近0%至7.5%。随着浓度范围增加,显著程度增加[3.9 - 5.5 mmol/l:p < 0.05;5.6 - 7.7 mmol/l:p = 0.003;7.8 - 11.1 mmol/l:p < 0.001]。在超过一半的配对比较中,血糖仪配对之间的平均百分比差异具有统计学显著性(p < 0.05),显著差异范围为5.7%至32.0%。
血糖仪的结果可能差异显著,因此它们之间的一致性较差。标准化对于尽量减少差异和改善患者护理是必要的。