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用于检测样本混淆的多变量增量检查法

Multivariate delta check method for detecting specimen mix-up.

作者信息

Iizuka Y, Kume H, Kitamura M

出版信息

Clin Chem. 1982 Nov;28(11):2244-8.

PMID:7127769
Abstract

Among laboratory mistakes, "specimen mix-up" is the most frequent and the most serious. According to the Clinical Chemistry Laboratory Error Report of Toranomon Hospital, specimen mix-up was often detected when there were many large discrepancies between the results of a test and the results of a previous test. We present here a checking method to detect specimen mix-up. The method, which we call the "multivariate delta check" method, is an extension of the "delta check" method first presented by Nosanchuk and Gottmann (Am. J. Clin. Pathol. 62:707, 1974). Clinical evaluation has demonstrated the effectiveness of the method.

摘要

在实验室错误中,“样本混淆”最为常见且最为严重。根据东京虎之门医院的临床化学实验室错误报告,当一项检测结果与先前检测结果存在许多重大差异时,经常会检测到样本混淆。我们在此介绍一种检测样本混淆的检查方法。该方法我们称为“多变量差值检查”法,是诺桑丘克和戈特曼首次提出的“差值检查”法(《美国临床病理学杂志》62:707,1974年)的扩展。临床评估已证明该方法的有效性。

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引用本文的文献

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Application and optimization of reference change values for Delta Checks in clinical laboratory.参考值变化在临床实验室 Delta 检验中的应用与优化。
J Clin Lab Anal. 2020 Dec;34(12):e23550. doi: 10.1002/jcla.23550. Epub 2020 Aug 30.
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Confusion-specimen mix-up in dermatopathology and measures to prevent and detect it.皮肤病理学中的混淆标本错配及其预防和检测措施。
Dermatol Pract Concept. 2014 Jan 31;4(1):27-42. doi: 10.5826/dpc.0401a04. eCollection 2014 Jan.
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How useful are delta checks in the 21 century? A stochastic-dynamic model of specimen mix-up and detection.
21世纪的delta检验有多大用处?样本混淆与检测的随机动态模型。
J Pathol Inform. 2012;3:5. doi: 10.4103/2153-3539.93402. Epub 2012 Feb 29.