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HBV 感染在慢性淋巴细胞白血病中的预后作用。

The prognostic role of HBV infection in chronic lymphocytic leukemia.

机构信息

Department of Hematology, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China.

Key Laboratory of Hematology of Nanjing Medical University, Nanjing, 210029, China.

出版信息

J Cancer Res Clin Oncol. 2018 Jul;144(7):1309-1315. doi: 10.1007/s00432-018-2663-z. Epub 2018 May 14.

Abstract

PURPOSE

We attempt to assess the impact of hepatis-B virus (HBV) status on the prognosis of chronic lymphocytic leukemia (CLL) using a Chinese case cohort.

METHODS

Five hundred and one consecutive newly diagnosed subjects with CLL were enrolled in this case cohort. HBV infection was defined as hepatitis B surface antigen (HBsAg) positive or hepatitis-B core antibody (HBcAb) positive. Univariate and stepwise multivariate Cox regression analyses were used to screen the prognostic risk factors associated with the end point of time-to-treatment (TTT) or overall survival (OS). Bootstrap re-sampling method was used to evaluate the model's internal validity. The discriminative ability of the models was evaluated using time-dependent receiver-operator characteristic (ROC) curves and corresponding areas under the curve (AUC).

RESULTS

One hundred and twenty-one subjects (24%) among 501 patients were HBV positive. HBV infection was an independent predictor for the prognosis of TTT (HR = 1.37; 95% CI 1.04-1.80) or OS (HR =2.85; 95% CI 1.80-4.52). The AUCs for HBV infection were 0.62 (95% CI 0.58-0.66) for TTT and 0.69 (95% CI 0.66-0.72) for OS, respectively. When we combined HBV infection with the traditional clinical and biological factors, significant improvements for model's discrimination were observed for TTT [AUC: 0.81 (95% CI: 0.77-0.85) vs. 0.78 (95% CI: 0.74-0.82), P < 0.001] and OS [AUC: 0.81 (95% CI 0.76-0.86) vs. 0.76 (95% CI 0.71-0.82), P < 0.001). Further bootstrap re-sampling method revealed good internal consistence for the final optimal models (Average AUC: 0.78 for TTT and 0.79 for OS based on 1000 bootstraps).

CONCLUSIONS

Our results indicated that HBV infection should be served as an important risk predictor for prognosis of CLL (TTT and OS).

摘要

目的

我们试图使用中国的病例队列来评估乙型肝炎病毒(HBV)状态对慢性淋巴细胞白血病(CLL)预后的影响。

方法

本病例队列纳入了 501 例新诊断的 CLL 患者。HBV 感染定义为乙肝表面抗原(HBsAg)阳性或乙肝核心抗体(HBcAb)阳性。采用单因素和逐步多因素 Cox 回归分析筛选与治疗时间(TTT)或总生存(OS)终点相关的预后危险因素。采用 Bootstrap 重抽样法评估模型的内部有效性。采用时间依赖性接受者操作特征(ROC)曲线和相应的曲线下面积(AUC)评估模型的判别能力。

结果

501 例患者中,有 121 例(24%)为 HBV 阳性。HBV 感染是 TTT(HR=1.37;95%CI 1.04-1.80)或 OS(HR=2.85;95%CI 1.80-4.52)预后的独立预测因素。HBV 感染的 TTT 曲线下面积为 0.62(95%CI 0.58-0.66),OS 曲线下面积为 0.69(95%CI 0.66-0.72)。当我们将 HBV 感染与传统的临床和生物学因素相结合时,TTT 时模型的判别能力显著提高[AUC:0.81(95%CI:0.77-0.85)比 0.78(95%CI:0.74-0.82),P<0.001]和 OS[AUC:0.81(95%CI 0.76-0.86)比 0.76(95%CI 0.71-0.82),P<0.001]。进一步的 Bootstrap 重抽样法显示,最终最优模型的内部一致性良好(基于 1000 次 bootstrap 的平均 AUC:TTT 为 0.78,OS 为 0.79)。

结论

我们的结果表明,HBV 感染应作为 CLL(TTT 和 OS)预后的重要危险因素。

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