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[在DxC 700 AU(贝克曼库尔特公司)上分析的溶血对临床化学检测的干扰及血钾测定算法]

[Hemolysis interference on clinical chemistry tests analyzed on DxC 700 AU (Beckman Coulter®) and kaliemia rendering algorithm].

作者信息

Sanandedji Emeline, André Julien, Lienard Alexi, Hentgen Caroline, Barrans Alain

出版信息

Ann Biol Clin (Paris). 2022 Jun 30;80(3):225-232. doi: 10.1684/abc.2022.1726.

Abstract

The influence of hemolysis was evaluated for 26 clinical chemistry parameters on DxC 700AU (Beckman Coulter®). Ten sample pools were prepared and separated into six aliquots. These aliquots were overloaded with hemolysis in increasing amounts to reach levels equivalent to the maximum hemolysis thresholds H1 (+), H2 (++), H3 (+++) and H4 (++++). Each aliquot is compared to its reference aliquot (not hemolyzed) and a ratio is calculated for each parameter. We proposed that there was a significant difference if, for a given analyte and threshold, more than 20% of the ratios are above the total acceptable limit variability. A significant difference was found for TGP, TGO, cholesterol, creatine kinase (CPK), lactate deshydrogenase (LDH), phosphorus and potassium at H1 (+), chlorine, iron, γ-glutamyltransferase (GGT), and magnesium at H2 (++), amylase and alkaline phosphatase (PAL) at H3 (++++), and prealbumin at H4 (++++). No interference was found until H4 included for uric acid, calcium, creatinine, lipase, glucose, HDL-cholesterol, triglycerides, urea, sodium and immunoglobulins A, G and M. The overestimation of kalemia was calculated as a function of hemolysis, ranging from 0.28 mM +/–0.047 (upper H1 threshold) to 1.37 mM +/–0.126 (upper H4 threshold). Its estimation makes it possible to propose a result rendering algorithm of kalemia according to the hemolysis index. Evaluation of the automates hemolysis indexes is highly recommended for each laboratory. It can allow for some critical parameters the establishment of a decision tree facilitating the result rendering, after clinicobiological consultation.

摘要

评估了溶血对贝克曼库尔特公司DxC 700AU全自动生化分析仪上26项临床化学参数的影响。制备了10个样本池并分成6份。这些样本份被加入不同量的溶血剂,使其达到相当于最大溶血阈值H1(+)、H2(++)、H3(+++)和H4(++++)的水平。将每份溶血样本与其未溶血的对照样本进行比较,并计算每个参数的比值。我们提出,如果对于给定的分析物和阈值,超过20%的比值高于总可接受变异限度,则存在显著差异。发现在H1(+)时,总胆汁酸(TGP)、谷丙转氨酶(TGO)、胆固醇、肌酸激酶(CPK)、乳酸脱氢酶(LDH)、磷和钾存在显著差异;在H2(++)时,氯、铁、γ-谷氨酰转移酶(GGT)和镁存在显著差异;在H3(+++)时,淀粉酶和碱性磷酸酶(PAL)存在显著差异;在H4(++++)时,前白蛋白存在显著差异。直到H4水平,尿酸、钙、肌酐、脂肪酶、葡萄糖、高密度脂蛋白胆固醇、甘油三酯、尿素、钠以及免疫球蛋白A、G和M均未发现干扰。血钾过高的估计值根据溶血情况计算,范围从0.28 mM±0.047(H1上限阈值)到1.37 mM±0.126(H4上限阈值)。其估计值使得能够根据溶血指数提出血钾结果呈现算法。强烈建议每个实验室评估自动溶血指数。在临床生物学咨询后,它可以为一些关键参数建立决策树,便于结果呈现。

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