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Hormone Immunoassay Interference: A 2021 Update.
Annals of Laboratory Medicine ( IF 4.9 ) Pub Date : 2021-8-11 , DOI: 10.3343/alm.2022.42.1.3
Khaldoun Ghazal 1 , Severine Brabant 1 , Dominique Prie 1 , Marie-Liesse Piketty 1
Affiliation  

Immunoassays are powerful qualitative and quantitative analytical techniques. Since the first description of an immunoassay method in 1959, advances have been made in assay designs and analytical characteristics, opening the door for their widespread implementation in clinical laboratories. Clinical endocrinology is closely linked to laboratory medicine because hormone quantification is important for the diagnosis, treatment, and prognosis of endocrine disorders. Several interferences in immunoassays have been identified through the years; although some are no longer encountered in daily practice, cross-reaction, heterophile antibodies, biotin, and anti-analyte antibodies still cause problems. Newer interferences are also emerging with the development of new therapies. The interfering substance may be exogenous (e.g., a drug or substance absorbed by the patient) or endogenous (e.g., antibodies produced by the patient), and the bias caused by interference can be positive or negative. The consequences of interference can be deleterious when clinicians consider erroneous results to establish a diagnosis, leading to unnecessary explorations or inappropriate treatments. Clinical laboratories and manufacturers continue to investigate methods for the detection, elimination, and prevention of interferences. However, no system is completely devoid of such incidents. In this review, we focus on the analytical interferences encountered in daily practice and possible solutions for their detection or elimination.

中文翻译:

激素免疫测定干扰:2021 年更新。

免疫测定是强大的定性和定量分析技术。自 1959 年首次描述免疫测定方法以来,测定设计和分析特性取得了进展,为它们在临床实验室中的广泛应用打开了大门。临床内分泌学与实验室医学密切相关,因为激素定量对于内分泌疾病的诊断、治疗和预后很重要。多年来,已经确定了免疫测定中的几种干扰;虽然有些在日常实践中不再遇到,但交叉反应、嗜异性抗体、生物素和抗分析物抗体仍然会引起问题。随着新疗法的发展,新的干扰也不断出现。干扰物质可能是外源性的(例如,患者吸收的药物或物质)或内源性(例如患者产生的抗体),干扰引起的偏差可以是正的或负的。当临床医生考虑错误的结果来确定诊断时,干扰的后果可能是有害的,导致不必要的探索或不适当的治疗。临床实验室和制造商继续研究检测、消除和预防干扰的方法。然而,没有一个系统是完全没有此类事件的。在这篇综述中,我们重点关注日常实践中遇到的分析干扰以及检测或消除这些干扰的可能解决方案。当临床医生考虑错误的结果来确定诊断时,干扰的后果可能是有害的,导致不必要的探索或不适当的治疗。临床实验室和制造商继续研究检测、消除和预防干扰的方法。然而,没有一个系统是完全没有此类事件的。在这篇综述中,我们重点关注日常实践中遇到的分析干扰以及检测或消除这些干扰的可能解决方案。当临床医生考虑错误的结果来确定诊断时,干扰的后果可能是有害的,导致不必要的探索或不适当的治疗。临床实验室和制造商继续研究检测、消除和预防干扰的方法。然而,没有一个系统是完全没有此类事件的。在这篇综述中,我们重点关注日常实践中遇到的分析干扰以及检测或消除这些干扰的可能解决方案。任何系统都不会完全杜绝此类事件。在这篇综述中,我们重点关注日常实践中遇到的分析干扰以及检测或消除这些干扰的可能解决方案。任何系统都不会完全杜绝此类事件。在这篇综述中,我们重点关注日常实践中遇到的分析干扰以及检测或消除这些干扰的可能解决方案。
更新日期:2021-08-11
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