[Clinical Characteristics and Prognostic Factors of Patients with Primary Parotid Gland Lymphoma]

Zhongguo Shi Yan Xue Ye Xue Za Zhi. 2023;31(4):1077-1084. doi: 10.19746/j.cnki.issn.1009-2137.2023.04.023.
[Article in Chinese]

Abstract

Objective: To explore the clinical characteristics and prognostic factors of patients with primary parotid gland lymphoma, and construct a prognostic model nomogram for patients with primary diffuse large B-cell lymphoma (DLBCL) of parotid gland.

Methods: Primary parotid gland lymphoma and primary DLBCL of parotid gland patients from 1984 to 2016 were identified from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate Cox regression analysis were conducted to determine the independent prognostic factors of primary parotid gland lymphoma and primary DLBCL of parotid gland, respectively. According to the established independent prognostic factors of primary DLBCL of parotid gland, nomogram was built to predict 3- and 5-year survival, and the discrimination and calibration of the model were evaluated by concordance index (C-index) and calibration plots.

Results: A total of 2 610 patients with primary parotid gland lymphoma were identified. Their median age was 66(15-99) years old, the male to female ratio was 1∶1.8, and 20.5% of them was primary DLBCL of parotid gland, which was the most common histological subtype in aggressive lymphomas. Multivariate Cox regression analysis showed that sex, age, Ann Arbor stage, years of diagnosis, marital status, histological subtype, surgery, and radiation were the independent prognostic factors of primary parotid gland lymphoma, while age, marital status, surgery, and chemotherapy were the independent prognostic factors of primary DLBCL of parotid gland. The C-index of the prediction model was 0.702(95%CI: 0.696-0.768), reflecting a good discrimination ability. The predicted value probability of the calibration plots was close to the actual value probability, reflecting a good accuracy ability.

Conclusions: Sex, age, Ann Arbor stage, years of diagnosis, marital status, histological subtype, surgery, and radiation were the independent prognostic factors of primary parotid gland lymphoma. The nomogram survival prediction model for primary DLBCL of parotid gland patients can assist clinical decision effectively.

题目: 原发性腮腺淋巴瘤的临床特征及预后影响因素.

目的: 分析原发性腮腺淋巴瘤患者的临床特征及预后影响因素,构建原发性腮腺弥漫大B细胞淋巴瘤患者的预后预测模型.

方法: 从SEER数据库获取1984-2016年确诊为原发性腮腺淋巴瘤患者的临床相关资料并从中分选出原发性腮腺弥漫大B细胞淋巴瘤患者的临床相关资料。分别通过单因素和多因素Cox回归分析来确定影响原发性腮腺淋巴瘤和原发性腮腺弥漫大B细胞淋巴瘤的独立预后因素。在已知原发性腮腺弥漫大B细胞淋巴瘤独立预后因素的前提下建立预测模型,用于预测患者3年和5年的生存情况,并通过一致性指数和校正图来评估该模型的区分度和校准度.

结果: 纳入2 610例原发性腮腺淋巴瘤患者,中位年龄66(15-99)岁,男女比例为1∶1.8,其中205%为原发性腮腺弥漫大B细胞淋巴瘤,是侵袭性淋巴瘤中最常见的组织学亚型。Cox多因素回归分析显示,年龄、性别、诊断年限、婚姻状况、分期、组织学亚型、手术、放疗为原发性腮腺淋巴瘤患者生存的独立预后影响因素,而年龄、婚姻状况、化疗、手术为原发性腮腺弥漫大B细胞淋巴瘤患者生存的独立预后影响因素。预测模型一致性指数为0702(95%CI:0.696-0.768),体现出该模型较好的区分度。预测模型校准曲线图中的预测值概率与实际值概率相近,体现出该模型较好的准确度.

结论: 年龄、性别、诊断年限、婚姻状况、分期、组织学分型、手术、放疗是原发性腮腺淋巴瘤患者独立预后影响因素。针对原发性腮腺弥漫大B细胞淋巴瘤患者的列线图生存预测模型可应用于临床个体化方案的制定.

Keywords: SEER database; nomogram; primary parotid gland lymphoma; prognostic factor.

Publication types

  • English Abstract