在经典型霍奇金淋巴瘤患者中，通过将白细胞淋巴细胞比值（LLR）和预后营养指数（PNI）与 IPS 系统相结合，得到更简单、更具解释性的指标。
Easier and more explanatory indices by integrating leukocyte lymphocyte ratio (LLR) and prognostic nutritional index (PNI) to IPS systems in cases with classical Hodgkin lymphoma.
机构信息
Cukurova University, Faculty of Medicine, Dept of Oncology, Turkey; Cukurova University, Faculty of Medicine, Dept of Hematology, Turkey.
Hacettepe University, Faculty of Medicine, Dept of Oncology, Turkey.
出版信息
Leuk Res. 2021 Aug;107:106586. doi: 10.1016/j.leukres.2021.106586. Epub 2021 Apr 24.
The aim of this study is to determine the power of he international prognostic scoring systems (IPS-7 and IPS-3) and to obtain indices by integrating leukocyte lymphocyte ratio (LLR) and prognostic nutritional index (PNI) factors as prognostic indicators in cases with classical Hodgkin lymphoma (cHL). 1012 patients with cHL were evaluated with 2 different IPS-4 scores with four parameters: stage, age, hemoglobin level, and either LLR or PNI. Statistical package SPSS v 22.0 was used. Two different Cox regression models were obtained for OS and PFS. Model 1 showed LLR ≥ 5,8 as the highest risk for OS and anemia as the highest risk for PFS. Model 2 showed PNI ≤ 45,2 as the highest risk for OS and anemia as the highest risk for PFS. IPS-4 scores obtained by integrating either LLR or PNI to IPS-3 integration of a biologic parameter either LLR or PNI need to be determined with clinical risk scoring parameters.
本研究旨在确定国际预后评分系统（IPS-7 和 IPS-3）的效能，并通过整合白细胞淋巴细胞比（LLR）和预后营养指数（PNI）等因素，获得预后指标，以评估经典型霍奇金淋巴瘤（cHL）患者。我们对 1012 例 cHL 患者进行了两种不同的 IPS-4 评分，评分参数包括 4 个方面：分期、年龄、血红蛋白水平、LLR 或 PNI。使用 SPSS v 22.0 统计软件包。为 OS 和 PFS 建立了两种不同的 Cox 回归模型。模型 1 显示 LLR≥5.8 是 OS 的最高风险因素，贫血是 PFS 的最高风险因素。模型 2 显示 PNI≤45.2 是 OS 的最高风险因素，贫血是 PFS 的最高风险因素。需要通过临床风险评分参数来确定将 LLR 或 PNI 整合到 IPS-3 中获得的 IPS-4 评分。
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