针对溶血标本的天冬氨酸氨基转移酶和乳酸脱氢酶报告算法的设计、验证和性能,包括质量规格内的校正。

Imagination, cognition and personality Pub Date : 2024-07-01 Epub Date: 2019-09-30 DOI:10.1177/0004563219878475
Selcuk Colak, Onur Tasdemir, Marianne van der Schaaf, Frans Opdam, Vincent van den Noort, Daan van den Broek, Huub H van Rossum
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引用次数: 0

摘要

背景:体外溶血是医学实验室面临的一大操作挑战。我们采用了一种新的实验设计来研究在什么条件下可以设计出算法,以报告制造商溶血规格之外的天冬氨酸氨基转移酶和乳酸脱氢酶定量或定性结果。定量校正必须符合预先规定的质量规范:方法:25 份患者样本用于设计报告算法,另外 41 份患者样本用于验证算法。使用 Cobas 6000 分析仪(德国曼海姆罗氏诊断公司)测定天冬氨酸氨基转移酶、乳酸脱氢酶和溶血指数。确定了校正因子,并对校正的准确性进行了调查。报告算法的设计依据是:(i) 制造商的溶血指数临界值;(ii) 在总允许误差范围内进行校正;(iii) 根据获得的结果进行定性报告。通过重新计算 6 个月的天门冬氨酸氨基转移酶和乳酸脱氢酶结果,回顾性地确定了报告算法的影响:天门冬氨酸氨基转移酶/乳酸脱氢酶结果低于参考区间上限时无法进行校正,而结果等于或高于参考区间上限时,可在总误差标准范围内对轻度溶血进行校正。验证患者队列中的所有样本均符合设定的标准。该算法可分别报告88.5%和85.9%未报告的天冬氨酸氨基转移酶和乳酸脱氢酶结果:本文介绍了一种方法,可生成并验证符合预先指定质量规格的天冬氨酸氨基转移酶和乳酸脱氢酶报告算法。所设计的算法大大减少了天门冬氨酸氨基转移酶和乳酸脱氢酶未报告的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design, validation and performance of aspartate aminotransferase- and lactate dehydrogenase-reporting algorithms for haemolysed specimens including correction within quality specifications.

Background: In vitro haemolysis is a major operational challenge for medical laboratories. A new experimental design was used to investigate under what conditions algorithms could be designed to report either quantitative or qualitative aspartate aminotransferase and lactate dehydrogenase results outside the manufacturer's haemolysis specifications. Quantitative corrections were required to meet prespecified quality specifications.

Methods: Twenty-five patient samples were used to design reporting algorithms and another 41 patient samples were used to validate the algorithms. Aspartate aminotransferase, lactate dehydrogenase and haemolysis index were determined using a Cobas 6000 analyser (Roche diagnostics, Mannheim, Germany). Correction factors were determined, and the accuracy of the correction was investigated. Reporting algorithms were designed based on (i) the manufacturer's cut-off for the haemolysis index, (ii) corrections within the total allowable error specification and (iii) qualitative reporting based on obtained results. The impact of the reporting algorithms was retrospectively determined by recalculating six months of aspartate aminotransferase and lactate dehydrogenase results.

Results: No correction for aspartate aminotransferase/lactate dehydrogenase was possible for results below the upper reference interval limit, while results equal to or greater than the upper reference interval limit could, up to mild haemolysis, be corrected within the total error criterion. All samples generated from the validated patient cohort fulfilled the set criteria. The algorithms allowed reporting 88.5% and 85.9% of otherwise unreported aspartate aminotransferase and lactate dehydrogenase results, respectively.

Conclusions: An approach is presented that allows to generate and validate reporting algorithms for aspartate aminotransferase and lactate dehydrogenase compatible with prespecified quality specifications. The designed algorithms resulted in a significant reduction of otherwise unreported aspartate aminotransferase and lactate dehydrogenase results.

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