Meijer Piet, Haverkate Frits, Kluft Cornelis
ECAT Foundation, Leiden, The Netherlands.
Thromb Haemost. 2006 Nov;96(5):584-9.
To achieve a reliable analytical quality for both monitoring and diagnostic testing, laboratories need to fulfil the widely accepted analytical performance goals based on the biological variation of the analytes of testing. Not only is the short-term analytical performance, which regularly is assessed by internal quality control procedures, of importance, but also the long-term analytical performance. To assess the long-term analytical performance, data obtained from an external quality assessment programme can be used. In this study we have used the evaluation model designed by the ECAT Foundation for the assessment of the longterm analytical performance, including imprecision, bias and total analytical error. The model was applied to the data from 136 different laboratories for the assay of antithrombin (activity), protein C (activity and antigen) and protein S (activity, total and free antigen). The imprecision (median; range), reflected by the long-term analytical coefficient of variation (LCV (A) ), was the lowest for antithrombin (7.6%; 2.6 - 43.8%) and the highest for protein S activity (17.2%; 4.3 - 88.6%). For bias and total error the same pattern was observed (antithrombin: 3.8%; 0.3 - 17.1% and 9.1%; 3.4 - 34.3%, respectively; protein S activity: 12.8%; 3.1 - 34.8% and 24.5%; 9.9 - 87.0%, respectively). For the majority of the laboratories (70 - 85%) the imprecision contributes considerably more to the total error than the bias. However the effect of the bias on the analytical quality is not negligible. Assays for antithrombin, protein C and protein S are mainly used for diagnostic testing. About 70 - 100% of the laboratories can fulfil the desirable performance goal for imprecision. The desirable performance goal for bias was reached by 50 - 95% of the laboratories. In all cases the highest numbers of laboratories fulfilling performance goals was obtained for the protein C variables. To improve the analytical quality in assays of antithrombin, protein C and protein S it is highly recommended that primarily imprecision (non-systematic failures) be suppressed. However the effect of the bias (systematic failures) on the analytical quality should not be neglected. A useful tool for determining the imprecision (LCV (A) ) and bias is the long-term analytical performance evaluation model as used by the ECAT Foundation.
为在监测和诊断检测中实现可靠的分析质量,实验室需要根据检测分析物的生物学变异,达成广泛认可的分析性能目标。不仅通过内部质量控制程序定期评估的短期分析性能很重要,长期分析性能同样重要。为评估长期分析性能,可使用从外部质量评估计划获得的数据。在本研究中,我们使用了ECAT基金会设计的评估模型来评估长期分析性能,包括不精密度、偏倚和总分析误差。该模型应用于来自136个不同实验室的抗凝血酶(活性)、蛋白C(活性和抗原)及蛋白S(活性、总抗原和游离抗原)检测数据。由长期分析变异系数(LCV(A))反映的不精密度(中位数;范围),抗凝血酶最低(7.6%;2.6 - 43.8%),蛋白S活性最高(17.2%;4.3 - 88.6%)。偏倚和总误差也呈现相同模式(抗凝血酶:分别为3.8%;0.3 - 17.1%和9.1%;3.4 - 34.3%;蛋白S活性:分别为12.8%;3.1 - 34.8%和24.5%;9.9 - 87.0%)。对于大多数实验室(70 - 85%),不精密度对总误差的贡献比偏倚大得多。然而,偏倚对分析质量的影响也不可忽视。抗凝血酶、蛋白C和蛋白S检测主要用于诊断检测。约70 - 100%的实验室能够实现不精密度的理想性能目标。50 - 95%的实验室达到了偏倚的理想性能目标。在所有情况下,蛋白C变量实现性能目标的实验室数量最多。为提高抗凝血酶、蛋白C和蛋白S检测的分析质量,强烈建议首先抑制不精密度(非系统性故障)。然而,偏倚(系统性故障)对分析质量的影响不应被忽视。ECAT基金会使用的长期分析性能评估模型是确定不精密度(LCV(A))和偏倚的有用工具。