Quality Control in RT-PCR Viral Load Assays: Evaluation of Analytical Performance for HIV, HBV, and HCV.

Q2 Medicine Electronic Journal of the International Federation of Clinical Chemistry and Laboratory Medicine Pub Date : 2024-08-08 eCollection Date: 2024-08-01
Gabriel Thé Araújo Gomes, Elza Gadelha Lima, Victor Tabosa de Oliveira Dos Santos, Lia Maria Sousa Borges Araújo, Glislaine Maria Ribeiro Porto
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Abstract

Introduction: Quality Control Management (QCM) in clinical laboratories is crucial for ensuring reliable results in analytical measurements, with biological variation being a key factor. The study focuses on assessing the analytical performance of the Reverse Transcription Polymerase Chain Reaction (RT-PCR) system for Human Immunodeficiency Virus (HIV), Hepatitis B (HBV), and Hepatitis C (HCV). Five models proposed between 1999 and 2014 offer different approaches to evaluating analytical quality, with Model 2 based on biological variation and Model 5 considering the current state of the art. The study evaluates the RT-PCR system's analytical performance through Internal Quality Control (IQC) and External Quality Control (EQC).

Materials and methods: The Laboratório Central de Saúde Pública do Estado do Ceará (LACEN-CE) conducted daily IQC using commercial kits, and EQC was performed through proficiency testing rounds. Random error, systematic error, and total error were determined for each analyte.

Results: Analytical performance, assessed through CV and random error, met specifications, with HIV and HBV classified as "desirable" and "optimal." EQC results indicated low systematic error, contributing to total errors considered clinically insignificant.

Conclusion: The study highlights the challenge of defining analytical specifications without sufficient biological variability data. Model 5 is deemed the most suitable. The analytical performance of the RT-PCR system for HIV, HBV, and HCV at LACEN-CE demonstrated satisfactory, emphasizing the importance of continuous quality control in molecular biology methodologies.

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RT-PCR 病毒载量检测的质量控制:评估 HIV、HBV 和 HCV 的分析性能。
引言临床实验室的质量控制管理(QCM)对于确保分析测量结果的可靠性至关重要,而生物变异是其中的一个关键因素。本研究重点评估反转录聚合酶链反应(RT-PCR)系统对人类免疫缺陷病毒(HIV)、乙型肝炎病毒(HBV)和丙型肝炎病毒(HCV)的分析性能。1999 年至 2014 年间提出的五个模型提供了不同的分析质量评估方法,其中模型 2 基于生物变异,模型 5 则考虑了当前的技术水平。本研究通过内部质量控制(IQC)和外部质量控制(EQC)对RT-PCR系统的分析性能进行评估:材料和方法:塞阿拉州公共卫生中央实验室(LACEN-CE)使用商业试剂盒进行日常IQC,EQC通过能力测试轮进行。确定了每种分析物的随机误差、系统误差和总误差:结果:通过 CV 和随机误差评估的分析性能符合规范要求,HIV 和 HBV 被列为 "理想 "和 "最佳"。EQC 结果显示系统误差较低,导致总误差被认为在临床上不显著:本研究强调了在没有足够生物变异性数据的情况下确定分析规格所面临的挑战。模型 5 被认为是最合适的。LACEN-CE 的 HIV、HBV 和 HCV RT-PCR 系统的分析性能令人满意,强调了分子生物学方法中持续质量控制的重要性。
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