Department of Pathology and Laboratory Medicine, University of Calgary, Canada.
Clin Biochem. 2010 Jul;43(10-11):905-9. doi: 10.1016/j.clinbiochem.2010.03.008. Epub 2010 Mar 25.
To develop and apply a mathematical model of the relationship between hematocrit, meter glucose and reference glucose concentrations as a tool for evaluation of whole blood glucose meters.
Patient blood gas specimens were used to compare the LifeScan SureStep Flexx and the Nova StatStrip glucose meters with reference results obtained from a Radiometer 725 blood gas analyzer. Linear regression analysis was conducted to determine the extent that patient hematocrit and reference glucose concentrations predicted the performance of the glucose meters.
Bland-Altman graphic analysis depicted that both glucose meters showed variance with the reference method. A mathematical model was derived from IFCC consensus equations that relate glucose meter results, hematocrit and plasma glucose values. Using the model, multivariate regression depicted that hematocrit affected the results of the SureStep Flexx meter in a manner dependent on the glucose concentration, whereas the StatStrip meter was not affected by hematocrit.
Linear regression can be used to quantify the extent of hematocrit interference on the performance of glucose meters.
开发并应用一个血细胞比容、血糖仪读数和参考血糖浓度之间关系的数学模型，作为评估全血血糖仪的工具。
使用患者血气标本，将 LifeScan SureStep Flexx 和 Nova StatStrip 血糖仪与Radiometer 725 血气分析仪获得的参考结果进行比较。进行线性回归分析，以确定患者血细胞比容和参考血糖浓度对血糖仪性能的预测程度。
Bland-Altman 图形分析表明，两种血糖仪与参考方法均存在差异。从 IFCC 共识方程推导出一个数学模型，该模型将血糖仪结果、血细胞比容和血浆血糖值联系起来。使用该模型，多元回归表明血细胞比容以依赖于血糖浓度的方式影响 SureStep Flexx 血糖仪的结果，而 StatStrip 血糖仪不受血细胞比容的影响。
线性回归可用于量化血细胞比容对血糖仪性能干扰的程度。
