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合并正常值,一种有用的技术。

Pooled normal values, a useful technic.

作者信息

Schauble M K, Becktel J M, Gullick H D, Kaplow L S

出版信息

Am J Clin Pathol. 1977 Apr;67(4):386-92. doi: 10.1093/ajcp/67.4.386.

Abstract

Few laboratories determine their normal values, because of the work involved. This study attempted to see whether a group of laboratories, each contributing a portion of the samples, could pool their information to yield data applicable to the whole group. Each of 20 VA Hospital laboratories obtained approximately 20 fasting early morning specimens from healthy men, aged 20-29 years, during a four-week period. Routine chemistry examinations (16) were performed on Technicon AutoAnalyzers (12/60, 6/60, and AAII), and model S Coulter Counters were used for five hematology tests (381 values for each constituent). Within-day, day-to-day, and interlaboratory variance were determined in parallel-method variability studies. The data showed: (1) it is valid to pool normal values from different laboratories when non-random variables have been eliminated; (2) non-random variables can be identified by increased interlaboratory variance, whether differences such as methods and equipment are obvious or not; (3) normal values so derived agree well with those from large series performed in single laboratories.

摘要

由于所需的工作量,很少有实验室会确定自己的正常参考值。本研究试图探讨,一组实验室各自提供一部分样本,能否汇总其信息以得出适用于整个群体的数据。20家退伍军人医院实验室中的每一家,在为期四周的时间里,从20至29岁的健康男性中获取了约20份空腹清晨样本。在Technicon自动分析仪(12/60型、6/60型和AAII型)上进行常规化学检测(共16项),并使用S型库尔特计数器进行五项血液学检测(每种成分检测381个值)。在平行方法变异性研究中确定了日内、日间和实验室间的变异情况。数据显示:(1)消除非随机变量后,汇总不同实验室的正常参考值是有效的;(2)无论方法和设备等差异是否明显,非随机变量可通过实验室间变异的增加来识别;(3)如此得出的正常参考值与在单个实验室进行的大量检测得出的结果吻合良好。

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