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首页> 外文期刊>Clinical chemistry and laboratory medicine: CCLM >Comparison of visual vs. automated detection of lipemic, icteric and hemolyzed specimens: can we rely on a human eye?
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Comparison of visual vs. automated detection of lipemic, icteric and hemolyzed specimens: can we rely on a human eye?

机译:视觉检测和自动检测脂血症,黄疸和溶血样品的比较:我们可以依靠人眼吗?

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BACKGROUND: Results from hemolyzed, icteric, and lipemic samples may be inaccurate and can lead to medical errors. These preanalytical interferences may be detected using visual or automated assessment. Visual inspection is time consuming, highly subjective and not standardized. Our aim was to assess the comparability of automated spectrophotometric detection and visual inspection of lipemic, icteric and hemolyzed samples. METHODS: This study was performed on 1727 routine biochemistry serum samples. Automated detection was performed using the Olympus AU2700 analyzer. We assessed: 1) comparability of visual and automated detection of lipemic, icteric and hemolyzed samples, 2) precision of automated detection, and 3) inter-observer variability for visual inspection. RESULTS: Weighted kappa coefficients for comparability of visual and automated detection were: 0.555, 0.529 and 0.638, for lipemic, icteric and hemolyzed samples, respectively. The precision for automated detection was high for all interferences, with the exception of samples being only slightly lipemic. The best overall agreement between observers was present in assessing lipemia (mean weighted kappa=0.698), whereas the lowest degree of agreement was observed in assessing icterus (mean weighted kappa=0.476). CONCLUSIONS: Visual inspection of lipemic, icteric and hemolyzed samples is highly unreliable and should be replaced by automated systems that report serum indices.
机译:背景:溶血,黄疸和脂血样本的结果可能不准确,并可能导致医疗错误。这些分析前干扰可以使用视觉或自动评估来检测。外观检查非常耗时,主观性很高,而且不规范。我们的目的是评估脂血,黄疸和溶血样品的自动分光光度检测和目测检查的可比性。方法:本研究对1727例常规生化血清样本进行。使用Olympus AU2700分析仪进行自动检测。我们评估了:1)脂血,黄疸和溶血样品的视觉和自动检测的可比性,2)自动检测的精确度,和3)观察者间观察性差异。结果:脂蛋白,黄疸和溶血样品的视觉和自动检测的可比性加权kappa系数分别为:0.555、0.529和0.638。对于所有干扰,自动检测的精度都很高,但样品只有少量脂血。在评估血脂方面,观察者之间的总体一致性最好(平均加权κ= 0.698),而在评估黄疸时观察到的最低一致性(平均加权κ= 0.476)。结论:对脂类,黄疸和溶血样品的目视检查非常不可靠,应由报告血清指数的自动化系统代替。

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