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Ruwei JIANG, Lijun XU, Huiru WANG, Siyu HUANG. Clinical and Pathological Characteristics of Non-small Cell Lung Cancer with Pleural Effusion at Different Hematocrit Levels and Their Correlation with Prognosis[J]. Journal of Kunming Medical University.
Citation: Ruwei JIANG, Lijun XU, Huiru WANG, Siyu HUANG. Clinical and Pathological Characteristics of Non-small Cell Lung Cancer with Pleural Effusion at Different Hematocrit Levels and Their Correlation with Prognosis[J]. Journal of Kunming Medical University.

Clinical and Pathological Characteristics of Non-small Cell Lung Cancer with Pleural Effusion at Different Hematocrit Levels and Their Correlation with Prognosis

  • Received Date: 2025-12-03
    Available Online: 2026-03-15
  •   Objective   To investigate the clinical influencing factors of hematocrit (HCT) levels in non-small cell lung cancer (NSCLC) patients with pleural effusion (PE), and to analyze the impact of HCT levels on the prognosis of patients.   Methods  A total of 125 patients with NSCLC complicated with PE admitted to the People’ s Hospital of Yingshang County, Anhui Province from January 2020 to May 2025 were selected. The patients were divided into high HCT group (>39.84%), intermediate HCT group (36.52%–39.84%), and low HCT group (<36.52%) according to the tertiles of HCT levels after 4 cycles of treatment (subsequent analyses were all based on this time point). Stepwise regression analysis was used to correct the relationship between clinicopathological characteristics and HCT levels. Multivariate logistic regression was used to analyze the independent correlation between HCT levels and poor prognosis, and further subgroup analyses were conducted by stratifying blood routine indicators, carcinoembryonic antigen (CEA), and Ki67 nuclear-associated antigen (Ki67). Sensitivity analysis was conducted using the E-value method. Interval likelihood ratio, receiver operating characteristic (ROC) curve and area under the curve (AUC), and restricted cubic spline (RCS) were used to analyze the prediction of HCT levels on poor prognosis and the dose-response relationship between them. Kaplan-Meier survival curves were used for survival analysis.  Results  There were statistically significant differences in gender, age, lymph node metastasis, degree of differentiation, tumor stage, smoking history, HCT, lymphocyte (LY) count, neutrophil (NE) count, neutrophil-lymphocyte count ratio (NLR), eosinophil (EOS) count, CEA, Ki67, hemoglobin (Hb), ferritin (Fer), transferrin saturation (TSAT), albumin (ALB), C-reactive protein (CRP) levels , objective response rate and disease control rate among the three groups of patients (all P < 0.05). Gender, smoking history, tumor stage, and lymphatic metastasis were closely related to HCT levels (P < 0.05). HCT levels at each time point after treatment were significantly higher in the good prognosis group compared to the poor prognosis group (P < 0.05). After adjusting for confounding factors, there was still an independent correlation between HCT levels and the risk of poor prognosis (OR = 1.472, 95%CI: 1.345~1.620). HCT levels were associated with the prognosis of patients with NSCLC complicated with PE within different ranges of NE, LY, NLR, EOS, CEA, and Ki67. The E-value in the sensitivity analysis was 3.983. Low HCT levels could significantly increase the risk of poor prognosis, with a positive likelihood ratio of 6.468 (95%CI: 2.703~15.478)(P < 0.001), high HCT levels could significantly reduce the risk of poor prognosis, with a likelihood ratio of 0.064 (95%CI: 0.009~0.450)(P < 0.05). HCT levels had high predictive efficacy for poor prognosis in the overall population and different gender groups, with AUC of 0.940 (95%CI: 0.733~0.988), 0.823 (95%CI: 0.767~0.876), and 0.844 (95%CI: 0.753~0.903) respectively, and the optimal cut-off values for HCT levels were 36.24%, 32.89%, and 35.35% respectively. There was a non-linear dose-response relationship between HCT levels and the risk of poor prognosis in the overall population and different gender groups (Pfor non-linear < 0.05) . The progression-free survival (PFS) of patients with medium and high HCT levels was significantly higher than that of patients with low HCT levels (P < 0.05) .  Conclusion   Low HCT levels significantly increase the risk of poor prognosis in NSCLC patients with PE. When HCT≤36.24%, the association strength between HCT levels and poor prognosis risk is markedly increased, and this association exists at different levels of NE, LY, NLR, EOS, CEA, and Ki67. Comprehensive monitoring of these indices in clinical diagnosis and treatment has important clinical value for assessing prognosis in these patients.
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  • [1]
    徐年兴, 魏东, 乔俊杰, 等. CD8+、IL-6和PaO2对不可切除ⅢB/C和Ⅳ期非小细胞肺癌免疫治疗触发放射召回性肺炎的预测价值[J]. 山东大学学报(医学版), 2025, 63(2): 29-35.
    [2]
    Gonnelli F, Hassan W, Bonifazi M, et al. Malignant pleural effusion: Current understanding and therapeutic approach[J]. Respir Res, 2024, 25(1): 47. doi: 10.1186/s12931-024-02684-7
    [3]
    王沛, 朱建波. 重组人血管内皮抑制素治疗非小细胞肺癌的临床研究进展[J]. 中国新药杂志, 2025, 34(3): 270-274. doi: 10.20251/j.cnki.1003-3734.2025.03.008
    [4]
    殷柳梅, 夏萍, 焦子宸. 红细胞特征参数和线粒体DNA在肺癌诊断中的应用价值[J]. 东南大学学报(医学版), 2023, 42(4): 547-553.
    [5]
    Xie J, Cao H, Jin D, et al. Correlation analysis of hematocrit level and coronary heart disease in patients with chest pain: A case-control study[J]. J Thorac Dis, 2025, 17(4): 2492-2502. doi: 10.21037/jtd-2025-645
    [6]
    Bozzini C, Busti F, Marchi G, et al. Anemia in patients receiving anticancer treatments: Focus on novel therapeutic approaches[J]. Front Oncol, 2024, 14: 1380358. doi: 10.3389/fonc.2024.1380358
    [7]
    Li G S, Huang T, Li J X, et al. Correlation between hematocrit and the risk of common human cancers: Results of a 1999-2020 observational survey and Mendelian randomization analysis[J]. Expert Rev Hematol, 2025, 18(4): 333-344. doi: 10.1080/17474086.2025.2486381
    [8]
    郭华, 赵静, 李丹丹. 非小细胞肺癌组织中miR-148a-3p、EGFR及SCCAg的表达及其对预后的评估价值[J]. 实用癌症杂志, 2025, 40(3): 366-368+372.
    [9]
    中华医学会肿瘤学分会, 中华医学会杂志社. 中华医学会肺癌临床诊疗指南(2022版)[J]. 中华医学杂志, 2022, 102(23): 1706-1740.
    [10]
    杨学宁, 吴一龙. 实体瘤治疗疗效评价标准——RECIST[J]. 循证医学, 2004, 4(2): 85-90, 111.
    [11]
    Jung V R, de Souza N M P, da Rosa D K A, et al. Detection of Anemia in schoolchildren aged 6-18 Years with hematocrit percentile charts and the impact of economic status in southern Brazil[J]. Am J Hum Biol, 2025, 37(4): e70034. doi: 10.1002/ajhb.70034
    [12]
    Wang J, Zhang L, Cui X, et al. Bcl11a maintains hematopoietic stem cell function but accelerates inflammation-driven exhaustion during aging[J]. Sci Immunol, 2025, 10(106): eadr2041. doi: 10.1126/sciimmunol.adr2041
    [13]
    Sangani R G, Deepak V, Anwar J, et al. Cigarette smoking, and blood monocyte count correlate with chronic lung injuries and mortality[J]. Int J Chron Obstruct Pulmon Dis, 2023, 18: 431-446.
    [14]
    Tang M, Yin Y, Wang W, et al. Exploring the multifaceted effects of Interleukin-1 in lung cancer: From tumor development to immune modulation[J]. Life Sci, 2024, 342: 122539. doi: 10.1016/j.lfs.2024.122539
    [15]
    Zhang X, Du X, Cui Y. The lymphatic highway: How lymphatics drive lung health and disease[J]. Lung, 2024, 202(5): 487-499. doi: 10.1007/s00408-024-00739-6
    [16]
    Wu J, Song J, Yin X, et al. Recent advancements of nanotechnology-based strategies for overcoming tumor microenvironment hypoxia[J]. Front Biosci, 2022, 27(5): 145. doi: 10.31083/j.fbl2705145
    [17]
    Pramanik N, Gupta A, Ghanwatkar Y, et al. Recent advances in drug delivery and targeting for the treatment of pancreatic cancer[J]. J Control Release, 2024, 366: 231-260. doi: 10.1016/j.jconrel.2023.12.053
    [18]
    Alissafi T, Kalafati L, Lazari M, et al. Mitochondrial oxidative damage underlies regulatory T cell defects in autoimmunity[J]. Cell Metab, 2020, 32(4): 591-604. e7.
    [19]
    Erin N, Grahovac J, Brozovic A, et al. Tumor microenvironment and epithelial mesenchymal transition as targets to overcome tumor multidrug resistance[J]. Drug Resist Updat, 2020, 53: 100715. doi: 10.1016/j.drup.2020.100715
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