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首页> 外文期刊>Clinical Chemistry: Journal of the American Association for Clinical Chemists >Estimates of Within-Subject Biological Variation Derived from Pathology Databases: An Approach to Allow Assessment of the Effects of Age, Sex, Time between Sample Collections, and Analyte Concentration on Reference Change Values
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Estimates of Within-Subject Biological Variation Derived from Pathology Databases: An Approach to Allow Assessment of the Effects of Age, Sex, Time between Sample Collections, and Analyte Concentration on Reference Change Values

机译:从病理数据库得出的受试者内部生物变异的估计:一种允许评估年龄,性别,样品收集之间的时间以及参考浓度对分析物变化值影响的方法

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BACKGROUND: Within-subject biological variation data (CVsubI/sub) are used to establish quality requirements for assays and allow calculation of the reference change value (RCV) for quantitative clinical laboratory tests. The CVsubI/sub is generally determined using a large number of samples from a small number of individuals under controlled conditions. The approach presented here is to use a small number of samples (n = 2) that have been collected for routine clinical purposes from a large number of individuals. METHODS: Pairs of sequential results from adult patients were extracted from a routine pathology database for 29 common chemical and hematological tests. Using a statistical process to identify a central gaussian distribution in the ratios of the result pairs, the total result variation for individual results was determined for 26 tests. The CVsubI/sub was then calculated by removing the effect of analytical variation. RESULTS: This approach produced estimates of CVsubI/sub that, for most of the analytes in this study, show good agreement with published values. The data demonstrated minimal effect of sex, age, or time between samples. Analyte concentration was shown to affect the distributions with first results more distant from the population mean more likely to be followed by a result closer to the mean. DISCUSSION: The process described here has allowed rapid and simple production of CVsubI/sub data. The technique requires no patient intervention and replicates the clinical environment, although it may not be universally applicable. Additionally, the effect of regression to the mean described here may allow better interpretation of sequential patient results.
机译:背景:受试者体内的生物变异数据(CV I )用于建立测定的质量要求,并允许计算参考变化值(RCV)以用于定量临床实验室测试。 CV I 通常是在受控条件下使用来自少数个体的大量样本确定的。这里介绍的方法是使用少量样本(n = 2),这些样本是从大量个体中用于常规临床目的而收集的。方法:从常规病理学数据库中提取成年患者的成对连续结果,以进行29种常见化学和血液学检查。使用统计过程确定结果对比率中的中心高斯分布,针对26个测试确定单个结果的总结果变化。然后通过消除分析变异的影响来计算CV I 。结果:这种方法产生的CV I 估计值,对于本研究中的大多数分析物而言,与已发表的值显示出良好的一致性。数据表明性别,年龄或样本之间的时间影响最小。结果表明,分析物浓度会影响分布,其第一个结果离总体均值越远,其次便是更接近均值的结果。讨论:这里描述的过程允许快速而简单地生成CV I 数据。尽管该技术可能并不普遍适用,但它不需要患者干预也可以复制临床环境。另外,回归到此处描述的均值的效果可能会更好地解释顺序患者的结果。

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