[弥漫大 B 细胞淋巴瘤患者 C 反应蛋白与白蛋白比值和格拉斯哥预后评分的预后价值比较]。

Q4 Medicine
Hong-Yan Wang, Hong Deng, Mei-Jiao Huang, Liang Zhang, Tai-Ran Chen, Yu Liu, Xing-Li Zou
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引用次数: 0

摘要

目的比较两种基于C反应蛋白(CRP)和白蛋白(ALB)的预测模型,即CRP与ALB比值(CAR)和格拉斯哥预后评分(GPS),在新诊断的弥漫大B细胞淋巴瘤(DLBCL)患者中的预后价值:回顾性分析2014年5月至2022年1月本中心收治的新诊断DLBCL患者的数据。共纳入111例完成至少4个周期R-CHOP或R-CHOP类似化疗的患者,并提供详细的临床、实验室数据和随访信息。采用接收者操作特征曲线(ROC)评估治疗前CAR对疾病进展和生存期的预测价值。此外,还评估了 CAR 与患者基线临床、实验室特征之间的关联,并比较了不同 CAR 和 GPS 亚组之间的无进展生存期(PFS)和总生存期(OS)。最后,采用单变量和多变量COX比例危险回归模型分析了影响疾病结局的因素:ROC曲线显示,CAR预测DLBCL患者PFS和OS的曲线下面积(AUC)分别为0.687(P =0.002)和0.695(P =0.005),预测PFS和OS的最佳临界值均为0.11。与CAR较低(60岁(P =0.025)、ECOG评分≥2(P =0.004)、卢加诺分期III-IV(P <0.001)、非生殖中心B细胞样(非GCB)亚型(P =0.035)、乳酸脱氢酶(LDH)升高(P <0.001)、结节外受累部位>1(P =0.004)和IPI评分>2(P <0.001)的患者相比。对患者的中期反应评估显示,低CAR组的总反应率(ORR)和完全反应率(CRR)均明显优于高CAR组(ORR:96.9% vs 80.0%,P =0.035;CRR:63.6% vs 32.5%,P =0.008)。中位随访时间为24个月,CAR较低的患者的中位PFS和OS明显长于CAR较高的患者(中位PFS:未达到 vs 67个月,P =0.0026;中位OS:未达到 vs 67个月,P =0.002),而GPS为0、1和2的患者的PFS(P =0.11)和OS(P =0.11)无统计学差异。多变量 Cox 回归分析表明,只有性别(男性)和 IPI 评分大于 2 分是影响 PFS 和 OS 的独立危险因素:结论:CAR与DLBCL患者的疾病进展和生存期明显相关;与GPS相比,CAR在预测DLBCL患者的疾病预后方面更具优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
[Comparison of the Prognostic Value of C-Reactive Protein to Albumin Ratio and Glasgow Prognostic Score in Patients with Diffuse Large B-Cell Lymphoma].

Objective: To compare the prognostic value of two predictive models based on C-reactive protein (CRP) and albumin (ALB), namely the CRP to ALB ratio (CAR) and the Glasgow prognostic score (GPS), in newly diagnosed patients with diffuse large B-cell lymphoma (DLBCL).

Methods: The data of newly diagnosed DLBCL patients admitted to our center from May 2014 to January 2022 were reviewed. A total of 111 patients who completed at least 4 cycles of R-CHOP or R-CHOP-like chemotherapy with detailed clinical, laboratory data and follow-up information were included. The receiver operating characteristic (ROC) curve was performed to evaluate the predictive value of pre-treatment CAR on disease progression and survival. Furthermore, the association between CAR and baseline clinical, laboratory characteristics of patients was evaluated, and progression-free survival (PFS) and overall survival (OS) were compared between different CAR and GPS subgroups. Finally, the univariate and multivariate COX propor-tional hazard regression models were used to analyze the factors affecting disease outcomes.

Results: ROC curve showed that the area under the curve (AUC) of CAR predicting PFS and OS in DLBCL patients was 0.687 (P =0.002) and 0.695 (P =0.005), respectively, with the optimal cut-off value of 0.11 for both predicting PFS and OS. Compared with the lower CAR (<0.11) group, the higher CAR (≥0.11) group had more clinical risk factors, including age >60 years (P =0.025), ECOG score ≥2 (P =0.004), Lugano stage III-IV (P < 0.001), non-germinal center B-cell-like (non-GCB) subtype (P =0.035), elevated lactate dehydrogenase (LDH) ( P < 0.001), extranodal involved site >1 (P =0.004) and IPI score >2 (P < 0.001). The interim response evaluation of patients showed that the overall response rate (ORR) and complete response rate (CRR) in the lower CAR group were both significantly better than those in the higher CAR group (ORR: 96.9% vs 80.0%, P =0.035; CRR: 63.6% vs 32.5%, P =0.008). With a median follow-up of 24 months, patients with lower CAR had significantly longer median PFS and OS than those with higher CAR (median PFS: not reached vs 67 months, P =0.0026; median OS: not reached vs 67 months, P =0.002), while there was no statistical difference in PFS (P =0.11) and OS (P =0.11) in patients with GPS of 0, 1, and 2. Multivariate Cox regression analysis indicated that only sex (male) and IPI score >2 were independent risk factors for both PFS and OS.

Conclusion: CAR is significantly correlated with disease progression and survival in DLBCL patients; And compared with GPS, CAR has more advantages in predicting disease outcomes in DLBCL patients.

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中国实验血液学杂志
中国实验血液学杂志 Medicine-Medicine (all)
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