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DOI 10.1016/j.jinf.2020.11.027

Медицинская библиотека · The Journal of infection · 2020

Clinical application of Epstein-Barr virus DNA loads in Epstein-Barr virus-associated diseases: A cohort study.

Yu Shenglei, Yang Qingluan, Wu Jing, Zhu Mengqi, Ai Jingwen, Zhang Haocheng, Xu Bin, Shao Lingyun, Zhang Wenhong

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

OBJECTIVES

This study evaluated the diagnostic value of Epstein-Barr virus (EBV) DNA load in blood samples of patients with EBV-associated diseases, and proposed a strategy for the interpretation of positive EBV DNA results.

METHODS

Derivation and validation cohorts were established to evaluate the clinical significance of EBV DNA loads in the peripheral blood mononuclear cells (PBMCs) and plasma from EBV-infected patients. EBV DNA loads were compared and receiver operating characteristic curves were employed to assess the optimal cutoff values of EBV DNA for identification of EBV-associated diseases.

RESULTS

The derivation and validation cohorts comprised 135 and 71 subjects, respectively. EBV DNA loads in the PBMCs of the EBV-associated diseases group was significantly higher than that of the EBV non-associated diseases group (5.8 × 104 vs 7.8 × 103 copies/106 cells, P<0.0001). The diagnostic cut-off value of viral load in PBMCs for EBV-associated diseases was determined to be 1.6 × 104 copies/106 cells. The combined EBV DNA load cutoff in PBMCs and positive EBV DNA qualitative detection in plasma (>500 copies/mL) allowed for the differentiation of EBV-associated and non-associated diseases; the sensitivity and specificity were 80.6 and 96.8%, respectively.

CONCLUSIONS

The strategy of combining EBV DNA loads in PBMCs and plasma will potentially help identify EBV-associated diseases.

Для цитирования: Yu Shenglei, Yang Qingluan, Wu Jing, Zhu Mengqi, Ai Jingwen, Zhang Haocheng, Xu Bin, Shao Lingyun, Zhang Wenhong. Clinical application of Epstein-Barr virus DNA loads in Epstein-Barr virus-associated diseases: A cohort study.. The Journal of infection. 2020. DOI: 10.1016/j.jinf.2020.11.027.

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