Paraprotein Interferences: Insights from a Short Study Involving Multiple Platforms and Multiple Measurands.

Q2 Medicine Electronic Journal of the International Federation of Clinical Chemistry and Laboratory Medicine Pub Date : 2024-08-08 eCollection Date: 2024-08-01
Rajarshi Sarkar
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Abstract

Background: Though paraproteinaemic interferences is a well-known phenomenon in clinical chemistry, a large-scale evaluation study involving multiple paraproteinaemic specimens on multiple platforms including multiple measurands with an aim to provide a predictive analysis, is singularly lacking. The present study aims to fill this gap in research.

Material and methods: This cross-sectional non-interventional observational study involved thirteen paraproteinaemic subjects, determined their gamma globulin characterization and measured their total bilirubin, direct bilirubin, HDL-cholesterol, calcium, inorganic phosphate, iron and unsaturated iron binding capacity (UIBC) levels on a dry chemistry platform (Vitros 350) as the established method and two wet chemistry platforms (AU5800 and Cobas 6000) as the evaluation methods. Data thus generated was analyzed for any significant variation and tested if such variation increased with decreasing albumin/ globulin ratio.

Results: Significant variation between dry chemistry and wet chemistry measurements were obtained for direct bilirubin, HDL and iron on AU5800 with p-values of 0.0009, <0.0001 and 0.0466 respectively. Similarly, discrepant results were obtained on Cobas 6000 for direct bilirubin and iron, with p-values of <0.0001 and 0.0002 respectively. Additionally, UIBC measurements on AU5800 varied significantly with increasing amounts of paraprotein present in the specimen (p-value = 0.0207).

Conclusion: This study emphasizes on predictive analyses to show that paraprotein interferences are fairly common on wet chemistry platforms. Evolving algorithms for monitoring of reaction curves can minimize release of erroneous results due to such interferences.

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副蛋白质干扰:涉及多种平台和多种测量载体的短期研究的启示。
背景:虽然副蛋白血症干扰是临床化学中的一种众所周知的现象,但目前还缺乏一项大规模的评估研究,该研究涉及多个平台上的多个副蛋白血症标本,包括多种测量剂,旨在提供预测性分析。本研究旨在填补这一研究空白:这项横断面非干预性观察研究涉及 13 名副蛋白血症受试者,以干式化学平台(Vitros 350)为既定方法,以两种湿式化学平台(AU5800 和 Cobas 6000)为评估方法,确定了他们的γ 球蛋白特征,并测量了他们的总胆红素、直接胆红素、高密度脂蛋白胆固醇、钙、无机磷酸盐、铁和不饱和铁结合能力(UIBC)水平。对由此产生的数据进行了分析,以确定是否存在显著差异,并检测这种差异是否会随着白蛋白/球蛋白比率的降低而增加:结果:AU5800 的直接胆红素、高密度脂蛋白和铁的干化学测量结果与湿化学测量结果之间存在显著差异,P 值为 0.0009:本研究强调预测分析,表明副蛋白质干扰在湿化学平台上相当常见。不断改进的反应曲线监测算法可最大限度地减少因此类干扰而导致的错误结果。
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