Consultant on Biochemistry, Eskişehir, Turkey.
Lab Med. 2023 Mar 7;54(2):153-159. doi: 10.1093/labmed/lmac077.
Total analytical error (TAE) and measurement uncertainty (MU) are important approaches to evaluating and improving the quality of measurement procedures. This study evaluates glucose analytical performance (AP) according to TAE and MU and calculates gray zones of glucose critical value limits.
Using TAE and MU values, AP was evaluated according to 5 different analytical performance specifications (APS) and the gray zones of critical value limits were calculated. The number of patients in these zones was compared.
TAE was higher than MU at all 3 levels. The AP for the low glucose level was poor. The number of patients in the gray zones was statistically higher in the TAE groups than in the MU groups (P < .05).
TAE and MU values can be used to evaluate the AP of glucose measurement as well as to evaluate the compliance of patient results with decision limits by creating gray zones.
总分析误差（TAE）和测量不确定度（MU）是评估和提高测量程序质量的重要方法。本研究根据 TAE 和 MU 评估葡萄糖分析性能（AP），并计算葡萄糖临界值限的灰色区域。
使用 TAE 和 MU 值，根据 5 种不同的分析性能规格（APS）评估 AP，并计算临界值限的灰色区域。比较这些区域内的患者数量。
在所有 3 个水平上，TAE 均高于 MU。低血糖水平的 AP 较差。TAE 组的灰色区域内的患者数量明显高于 MU 组（P<0.05）。
TAE 和 MU 值可用于评估葡萄糖测量的 AP，通过创建灰色区域，还可以评估患者结果与决策限的符合程度。
