Zeng Hao, Gou Yue, Qi Chang, Tan Sihan, Agrafiotis Apostolos C, Hong Goohyeon, Tanino Yoshinori, Jeon Kyeongman, Wei Qi, Zhang Yuanyuan, Wang Xiaoyu, Li Weimin, Tian Panwen, Li Yalun
Department of Pulmonary and Critical Care Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Institute of Respiratory Health and Multimorbidity, Institute of Respiratory Health, Frontiers Science Center for Disease-related Molecular Network, Precision Medicine Center/Precision Medicine Key Laboratory of Sichuan Province, West China Hospital, Sichuan University, Chengdu, China.
Lung Cancer Center/Lung Cancer Institute, West China Hospital, Sichuan University, Chengdu, China.
J Thorac Dis. 2025 Aug 31;17(8):6099-6111. doi: 10.21037/jtd-2025-1295. Epub 2025 Aug 22.
The infection of pneumonia (PJP) increases the rate of malignancy-related death. It is crucial to estimate the risk of PJP in this population. Peripheral blood neutrophil-to-lymphocyte ratio (NLR) has been proven to have significant value in predicting bacterial infection. However, the associations between peripheral blood NLR and PJP in patients with solid tumors have not been investigated. We aimed to identify whether baseline peripheral-blood NLR was correlated with PJP in patients with solid tumors.
We retrospectively reviewed medical records of all consecutive patients with solid tumors and a proven diagnosis of PJP according to the European Organization for Research and Treatment of Cancer (EORTC) consensus definitions. Patients were randomly grouped into a discovery cohort and a validation cohort in a 2:1 ratio. Propensity score matching was performed in a 1:2 ratio between patients with PJP and those without PJP. Demographic and clinical data were collected, which included malignancy types, baseline NLR, chest imaging, coexisting pulmonary disease, and treatment regimens. The receiver operating characteristic (ROC) curve was used to determine the optimal cutoff value of NLR for analyzing risk of PJP. Multivariate logistic analysis was performed to identify the risk factors of PJP.
A total of 249 patients were included, of whom 83 had PJP infection and 166 did not. A total of 157 (63.1%) patients were aged 65 years or older, 73.5% of participants were male, and 37.3% were never-smokers. Patients with PJP had a higher NLR level than those without PJP (P<0.001). The optimal threshold of NLR to predict PJP was 6.22. Multivariate analysis revealed independent associations with higher NLR (odds ratio: 4.96; 95% confidence interval: 1.82-13.50; P=0.002) and PJP after adjustment for age, sex, and smoking status. The incidence of PJP in the high-NLR subgroup (NLR ≥6.22) was significantly higher than that in the low-NLR subgroup (NLR 6.22) in the discovery (65.3% 19.8%; P<0.001) and validation cohorts (65.4% 19.0%; P<0.001). Moreover, NLR was negatively correlated with absolute CD4 and CD8 cell count. Patients with high NLR had a lower mean absolute CD4 and CD8 cell count than those with low NLR.
Among patients with solid tumors, a baseline feature of high NLR (≥6.22) was independently associated with an increased risk of PJP development. Furthermore, the NLR demonstrates potential utility in assessing immune status. Therefore, clinicians should consider initiating PJP prophylaxis earlier or performing earlier PJP screening in patients with solid tumors and elevated peripheral blood NLR.
肺孢子菌肺炎(PJP)感染会增加恶性肿瘤相关的死亡率。评估该人群发生PJP的风险至关重要。外周血中性粒细胞与淋巴细胞比值(NLR)已被证明在预测细菌感染方面具有重要价值。然而,实体瘤患者外周血NLR与PJP之间的关联尚未得到研究。我们旨在确定实体瘤患者的基线外周血NLR是否与PJP相关。
我们回顾性分析了所有连续的实体瘤患者的病历,这些患者根据欧洲癌症研究与治疗组织(EORTC)的共识定义被确诊为PJP。患者以2:1的比例随机分为发现队列和验证队列。在PJP患者和非PJP患者之间以1:2的比例进行倾向评分匹配。收集了人口统计学和临床数据,包括恶性肿瘤类型、基线NLR、胸部影像学、并存的肺部疾病和治疗方案。采用受试者工作特征(ROC)曲线确定用于分析PJP风险的NLR最佳截断值。进行多因素逻辑分析以确定PJP的危险因素。
共纳入249例患者,其中83例发生PJP感染,166例未发生。共有157例(63.1%)患者年龄在65岁及以上,73.5%的参与者为男性,37.3%为从不吸烟者。发生PJP的患者NLR水平高于未发生PJP的患者(P<0.001)。预测PJP的NLR最佳阈值为6.22。多因素分析显示,在调整年龄、性别和吸烟状态后,较高的NLR(优势比:4.96;95%置信区间:1.82 - 13.50;P = 0.002)与PJP独立相关。在发现队列(65.3%对19.8%;P<0.001)和验证队列(65.4%对19.0%;P<0.001)中,高NLR亚组(NLR≥6.22)的PJP发生率显著高于低NLR亚组(NLR<6.22)。此外,NLR与绝对CD4和CD8细胞计数呈负相关。高NLR患者的平均绝对CD4和CD8细胞计数低于低NLR患者。
在实体瘤患者中,高NLR(≥6.22)的基线特征与PJP发生风险增加独立相关。此外,NLR在评估免疫状态方面具有潜在效用。因此,临床医生应考虑在实体瘤患者且外周血NLR升高时更早地启动PJP预防或更早地进行PJP筛查。