Katayev Alexander, Fleming James K, Luo Dajie, Fisher Arren H, Sharp Thomas M
From Laboratory Corporation of America Holdings, Elon, NC.
Am J Clin Pathol. 2015 Jan;143(1):134-42. doi: 10.1309/AJCPQPRNIB54WFKJ.
To describe the application of a data-mining statistical algorithm for calculation of clinical laboratory tests reference intervals.
Reference intervals for eight different analytes and different age and sex groups (a total of 11 separate reference intervals) for tests that are unlikely to be ordered during routine screening of disease-free populations were calculated using the modified algorithm for data mining of test results stored in the laboratory database and compared with published peer-reviewed studies that used direct sampling. The selection of analytes was based on the predefined criteria that include comparability of analytical methods with a statistically significant number of observations.
Of the 11 calculated reference intervals, having upper and lower limits for each, 21 of 22 reference interval limits were not statistically different from the reference studies.
The presented statistical algorithm is shown to be an accurate and practical tool for reference interval calculations.
描述一种数据挖掘统计算法在临床实验室检测参考区间计算中的应用。
使用修改后的算法对存储在实验室数据库中的检测结果进行数据挖掘，计算了八项不同分析物以及不同年龄和性别的参考区间（总共11个独立的参考区间），这些检测在无病人群的常规筛查中不太可能被检测，将其与使用直接抽样的已发表同行评审研究进行比较。分析物的选择基于预定义标准，包括分析方法的可比性以及具有统计学意义的观察数量。
在计算出的11个参考区间中，每个区间都有上限和下限，22个参考区间限值中的21个与参考研究无统计学差异。
所提出的统计算法被证明是一种用于参考区间计算的准确且实用的工具。
