Reevaluation of the power of error detection of Westgard multirules.
Reevaluation of the power of error detection of Westgard multirules.
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重新评估 Westgard 多规则的错误检测能力。
DOI：
10.1373/clinchem.2003.025585
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发表时间：
2004
影响因子：
9.3
通讯作者：
Graham R D Jones
中科院分区：
文献类型：
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作者：
Graham R D Jones
最初由James Westgard等人开发的用于优化分析错误检测的多规则系统现在被广泛用于临床病理实验室[1]。检测检测性能变化的各种规则组合的能力可以通过使用功率函数图(2)来评估，其中一些可以在Westgard QC网站上免费获得(3)。在这份报告中，我重新评估了需要从多个质量控制(QC)运行中获取数据的规则的错误检测能力。
在设置QC协议时可以调整的变量，并在幂函数图中建模，包括规则的选择、一次运行中的QC样本数(N)、以及要评估其数据的运行次数(R)。在开发幂函数图时，还必须明确定义其他变量，以便这些图能够代表实验室的实际情况。
Westgard的规则可分为运行内规则和交叉运行规则，前者从一次QC运行中获得用于决策的数据，后者需要来自多个QC运行的数据(R&>1)。使用认可的术语(4)，n=2的运行内规则的例子包括13和22，而n=2的交叉运行规则的例子包括41和10x。运行中的QC规则显然比交叉运行的规则更可取，因为它们将允许在更改后尽快检测到分析性能的变化。交叉运行规则通常添加到运行内规则中，目的是获得额外的错误检测能力，以满足质量规范。
在本报告中，我使用一个电子表格应用程序来开发功率函数图，目的是在包含交叉运行规则时评估规则组合的错误检测能力。具体地说，I…
The multirules system for optimizing assay error detection originally developed by James Westgard and others is now widely used in clinical pathology laboratories (1). The power of various combinations of rules to detect changes in assay performance can be assessed by use of power function charts (2), some of which are freely available on the Westgard QC website (3). In this report I reassess the power of error detection of rules that require data from more than one quality-control (QC) run.
Variables that can be adjusted in setting a QC protocol, and modeled in power function charts, include the choice of rules, the number of QC samples in a run (n), and the number of runs over which data are to be assessed (R). In the development of power function charts, other variables must also be clearly defined so that the charts represent the actual practice in the laboratory.
Westgard’s rules can be divided into within-run rules, where the data for decision-making are available from within one QC run, and cross-run rules, where data from more than one QC run are required (R >1). Using approved terminology (4), examples of within-run rules for n = 2 include 13s and 22s, and examples of cross-run rules for n = 2 include 41s and 10x. Within-run QC rules are clearly preferable to cross-run rules because they will allow detection of changes in assay performance as soon as possible after the change. Cross-run rules are commonly added to within-run rules with the aim of gaining additional power of error detection to meet quality specifications.
In this report I use a spreadsheet application to develop power function charts with the aim of assessing the power of error detection of combinations of rules when cross-run rules are included. Specifically, I …