一种新的血管免疫母细胞性 T 细胞淋巴瘤预后模型：55 例回顾性研究。
A novel prognostic model for angioimmunoblastic T-cell lymphoma: A retrospective study of 55 cases.
机构信息
Department of Haematology/Oncology and Paediatric Oncology, Guangxi Medical University Affiliated Cancer Hospital, Nanning, Guangxi, China.
出版信息
J Int Med Res. 2021 May;49(5):3000605211013274. doi: 10.1177/03000605211013274.
OBJECTIVE
To explore prognostic factors and develop an accurate prognostic prediction model for angioimmunoblastic T-cell lymphoma (AITL).
METHODS
Clinical data from Chinese patients with newly diagnosed AITL were retrospectively analysed. Overall survival (OS) and progression-free survival (PFS) were estimated using Kaplan-Meier method survival curves; prognostic factors were determined using a Cox proportional hazards model. The sensitivity and specificity of the predicted survival rates were compared using area under the curve (AUC) of receiver operating characteristic (ROC) curves.
RESULTS
The estimated 5-year OS and PFS of 55 eligible patients with AITL were 22% and 3%, respectively. Multivariate analysis showed that the presence of pneumonia, and serous cavity effusions at initial diagnosis were significant prognostic factors for OS. Based on AUC ROC values, our novel prognostic model was superior to IPI and PIT based models and suggested better diagnostic accuracy.
CONCLUSIONS
Our prognostic model based on pneumonia, and serous cavity effusions at initial diagnosis enabled a balanced classification of AITL patients into different risk groups.
目的
探索血管免疫母细胞性 T 细胞淋巴瘤（AITL）的预后因素并建立准确的预后预测模型。
方法
回顾性分析中国新诊断 AITL 患者的临床资料。采用 Kaplan-Meier 生存曲线估计总生存期（OS）和无进展生存期（PFS）；采用 Cox 比例风险模型确定预后因素。通过接收者操作特征（ROC）曲线下面积（AUC）比较预测生存率的敏感性和特异性。
结果
55 例 AITL 患者的 5 年 OS 和 PFS 估计值分别为 22%和 3%。多因素分析显示，初诊时存在肺炎和浆膜腔积液是 OS 的显著预后因素。基于 AUC ROC 值，我们的新预后模型优于 IPI 和 PIT 模型，提示具有更好的诊断准确性。
结论
我们基于初诊时肺炎和浆膜腔积液的预后模型能够将 AITL 患者均衡地分为不同风险组。
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