Laboratory Department, Hospital Univeritari i Politècnic la Fe. Av Fernando Abril Martorell 106; 46026 València, Spain.
Microbiology Department, Hospital Univeritari i Politècnic la Fe. Av Fernando Abril Martorell 106; 46026 València, Spain.
Diagn Microbiol Infect Dis. 2024 Mar;108(3):116167. doi: 10.1016/j.diagmicrobio.2023.116167. Epub 2023 Dec 24.
The present investigation assessed the Liaison® diagnostic performance in detecting Epstein-Barr (EBV) IgM-VCA in a large patient cohort, considering age and symptomatology. VIDAS® were employed as a benchmark for acute EBV infection. The study also probed other coexisting conditions and potential cross-reactivity for error sources. A total of 1311 samples were analyzed, with notable associations found only among paediatric (kappa=0.75) and young adult (kappa=0.58) populations with compatible symptoms. ROC analysis revealed varying optimal cutoff values based on age and symptom categorizations. Logistic regression models identified age and patients from Oncology or Infectious Disease as significant factors for false positives. Potential interferences emerged with RF, ANCA, cytomegalovirus-IgM and VHS-IgM. Notably, Liaison® couldn´t distinguish EBV patients from Oncology, Haemathology or Internal Medicine. This study provides valuable insights, such as implementing ageand symptom-specific thresholds or reviewing test requests, for optimizing EBV serology in microbiology laboratories, leading to faster and more reliable responses.
本研究评估了 Liaison® 在检测大样本队列中 EBV IgM-VCA 时的诊断性能，同时考虑了年龄和症状。VIDAS® 被用作急性 EBV 感染的基准。该研究还探讨了其他共存情况和潜在的交叉反应，以确定误差来源。共分析了 1311 个样本，仅在儿科（kappa=0.75）和年轻成人（kappa=0.58）具有相符症状的人群中发现了显著相关性。ROC 分析显示，基于年龄和症状分类，最佳截断值有所不同。逻辑回归模型确定年龄和来自肿瘤学或传染病学的患者是假阳性的重要因素。RF、ANCA、巨细胞病毒 IgM 和 VHS IgM 可能存在干扰。值得注意的是，Liaison® 无法区分肿瘤学、血液学或内科的 EBV 患者。本研究为优化微生物学实验室中的 EBV 血清学提供了有价值的见解，例如实施基于年龄和症状的阈值或审查检测请求，以实现更快、更可靠的反应。
