Castro-Castro Maria-José, Sánchez-Navarro Lourdes
Clinical Laboratory, Bellvitge University Hospital, Barcelona, Catalonia, Spain.
Adv Lab Med. 2021 Apr 1;2(3):417-431. doi: 10.1515/almed-2020-0114. eCollection 2021 Aug.
Change limits, more commonly called delta check, are those in which a change in a patient's measured result in relation to their corresponding preceding measurement is suspected of being erroneous and should be considered as a doubtful result. The aim of this study was to provide change limits for some biochemical and haematological quantities to detect doubtful measured results and to assess its effectiveness to detect erroneous results for their application in and the standardization of the plausibility control.
Change limits have been estimated for 13 biochemical and 6 haematological quantities. For each quantity, relative differences (), expressed as a percentage between the two consecutive measured results from the same patient (from scheduled laboratory requests), were calculated. From these differences (), the 5 and 95 percentiles of the data distribution were calculated. To assess the effectiveness of the change limits to detect laboratory errors, 43 erroneous laboratory reports, containing different biochemical and haematological quantities, were obtained from the standard laboratory plausibility control procedure.
From the 43 erroneous laboratory reports, 31 (72%) were due to endovenous administration errors and 12 (28%) were due to mislabeling errors. All erroneous laboratory reports were detected when the change limits of the quantities were combined and applied together.
The best combination of quantities, which detect all the erroneous reports in the same specimen were: potassium, albumin, creatinine, glucose and haemoglobin.
变化限值,更常被称为增量检查,是指怀疑患者测量结果相对于其相应的先前测量结果的变化存在错误,应被视为可疑结果。本研究的目的是为一些生化和血液学指标提供变化限值,以检测可疑的测量结果,并评估其在合理性控制应用和标准化中检测错误结果的有效性。
已对13种生化指标和6种血液学指标估算了变化限值。对于每种指标,计算了同一患者(来自定期实验室检测申请)两次连续测量结果之间的相对差异(),以百分比表示。根据这些差异(),计算数据分布的第5和第95百分位数。为评估变化限值检测实验室错误的有效性,从标准实验室合理性控制程序中获取了43份包含不同生化和血液学指标的错误实验室报告。
在43份错误实验室报告中,31份(72%)是由于静脉内给药错误,12份(28%)是由于标签错误。当将各指标的变化限值结合并一起应用时,所有错误实验室报告均被检测到。
能检测同一标本中所有错误报告的最佳指标组合为:钾、白蛋白、肌酐、葡萄糖和血红蛋白。