Spurious dyslipidemia due to paraprotein in a patient with Waldenström macroglobulinemia

IF 3.2 3区 医学 Q2 MEDICAL LABORATORY TECHNOLOGY Clinica Chimica Acta Pub Date : 2024-08-05 DOI:10.1016/j.cca.2024.119900
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Abstract

Introduction

Serum lipid profiles play a crucial role in diagnosing and evaluating cardiovascular diseases. However, the presence of paraprotein can lead to inaccurate dyslipidemia results on automated analyzers.

Case report

A 65-year-old woman whose combined concentrations of HDL-cholesterol (HDL-C) and LDL-cholesterol (LDL-C) consistently surpassed her total serum cholesterol levels over a period of three months presented with unusual lipid component detection. Further analysis revealed the presence of a monoclonal paraprotein, identified as an IgMλ band, with a concentration of 28.0 g/L. The patient was subsequently diagnosed with Waldenström macroglobulinemia. The use of abnormal reaction kinetic curves and the β quantification method, along with an alternative method that did not suffer from interference, revealed that the monoclonal paraprotein interfered with the measurements of HDL-C, LDL-C, apolipoprotein A-I (apoA-I), and apolipoprotein B (apoB) when using the Roche detection system. This interference led to spurious elevated HDL-C concentrations and falsely decreased apoA-I and apoB concentrations, while the LDL-C results were minimally affected. Although diluting the sample normalized the HDL-C and LDL-C measurements, the interference with the apoA-I and apoB assays persisted. No other common biochemical tests were interfered with this paraprotein.

Conclusion

Caution is advised when using a homogenous method for direct measurement of HDL-C and LDL-C in patients with monoclonal paraprotein. Techniques to recognize and eliminate this interference are available. However, immunoturbidimetric detection of apoA-I and apoB levels is also susceptible to this interference, which is not readily removable.

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一名瓦尔登斯特伦巨球蛋白血症患者因副蛋白引起的假性血脂异常。
简介血清脂质图谱在诊断和评估心血管疾病中起着至关重要的作用。然而,副蛋白的存在会导致自动分析仪得出不准确的血脂异常结果:一位 65 岁的妇女在三个月内高密度脂蛋白胆固醇(HDL-C)和低密度脂蛋白胆固醇(LDL-C)的总浓度一直超过其血清总胆固醇水平,并出现血脂成分检测异常。进一步分析发现,患者体内存在一种单克隆副蛋白,被鉴定为 IgMλ 带,浓度为 28.0 克/升。患者随后被诊断为瓦尔登斯特伦巨球蛋白血症。使用异常反应动力学曲线和β定量法,以及一种不受干扰的替代方法发现,在使用罗氏检测系统时,单克隆副蛋白干扰了高密度脂蛋白胆固醇(HDL-C)、低密度脂蛋白胆固醇(LDL-C)、载脂蛋白A-I(apoA-I)和载脂蛋白B(apoB)的测量。这种干扰导致高密度脂蛋白胆固醇浓度虚假升高,载脂蛋白 A-I 和载脂蛋白 B 浓度虚假降低,而低密度脂蛋白胆固醇的检测结果受到的影响很小。虽然稀释样本后,HDL-C 和 LDL-C 测量结果趋于正常,但载脂蛋白 A-I 和载脂蛋白 B 检测结果仍受到干扰。这种副蛋白不会干扰其他常见的生化检测:结论:在使用同质方法直接测量单克隆副蛋白患者的高密度脂蛋白胆固醇和低密度脂蛋白胆固醇时应谨慎。目前已有识别和消除这种干扰的技术。然而,免疫比浊法检测载脂蛋白 A-I 和载脂蛋白 B 的水平也容易受到这种干扰,而且这种干扰不易消除。
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来源期刊
Clinica Chimica Acta
Clinica Chimica Acta 医学-医学实验技术
CiteScore
10.10
自引率
2.00%
发文量
1268
审稿时长
23 days
期刊介绍: The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells. The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.
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