Role of hepatitis B antibody in predicting reactivation of resolved hepatitis B virus infection in leukemia patients
Role of hepatitis B antibody in predicting reactivation of resolved hepatitis B virus infection in leukemia patients
复制标题
乙型肝炎抗体在预测白血病患者已治愈的乙型肝炎病毒感染再激活中的作用
DOI:
10.1016/j.antiviral.2020.104765
复制
发表时间:
2020
影响因子:
7.6
通讯作者:
Pan Xiao-Ben
中科院分区:
文献类型:
--
作者:
Wu Tian;Wu Nan;Ma Yan-Xiu;Wu Jing;Gao Yan;Pan Xiao-Ben
Background & AimsQuantification of anti-HBs and anti-HBc predicts the risk of HBV reactivation (HBVr) in lymphoma patients receiving rituximab treatment. However, it remains unclear whether the quantification is predictive of HBVr in leukemia patients undergoing immunosuppression.Methodsand patients: Clinical and laboratory data of the leukemia patients with resolved HBV infection diagnosed between January 2013 and March 2018 were retrospectively collected. Data series of HBV seromarkers and HBV DNA levels before the patients receiving chemotherapy and/or hematopoietic stem cell transplantation (HSCT) and during follow-up duration were analyzed.ResultsIn total, 533 leukemia patients with resolved HBV infection were included. The incidences of HBVr were 5.7% (25/441) and 2.2% (2/92) in patients receiving HSCT and chemotherapy, respectively. In patients receiving HSCT, acute lymphoid leukemia had a significantly higher incidence of HBVr than acute myeloid leukemia (8.9%vs3.9%,P< 0.05). The incidence varied almost zero to 40% due to the differences in the profiles of HBV antibodies. High anti-HBs (cut-off of 79.2 IU/L) or low anti-HBc levels (cut-off of 4.475, S/CO) at baseline were associated with a low risk of HBVr. Anti-HBe status did not affect the incidence of HBVr. However, the cut-offs were only predictive of HBVr in the patients who had negative anti-HBe.ConclusionThe baseline profiles of HBV antibodies are predictive of the risk of HBVr in leukemia patients undergoing immunosuppression. However, seronegative anti-HBe is a prerequisite for using baseline anti-HBs and anti-HBc quantification to predict HBVr risk.