切换至 "中华医学电子期刊资源库"

中华肺部疾病杂志(电子版) ›› 2026, Vol. 19 ›› Issue (05) : 862 -868. doi: 10.3877/cma.j.issn.1674-6902.2026.05.021

论著

甲型流行性感冒患者外周血淋巴细胞及白细胞计数特征分析
马甜甜, 张红军†(), 顾兴, 杜娜, 余茜   
  1. 710100 西安,西安市胸科医院
  • 收稿日期:2025-07-01 出版日期:2026-10-25
  • 通信作者: 张红军
  • 基金资助:
    西安市科技计划项目(2022JH-YBYJ-0157)

Examining the characteristics of peripheral blood lymphocytes and leukocytes in patients with influenza A virus

Tiantian Ma, Hongjun Zhang†(), Xing Gu, Na Du, Xi Yu   

  1. Department of Respiratory and Critical Care Medicine, Xi′an Chest Hospital, Xi′an 710100, China
  • Received:2025-07-01 Published:2026-10-25
  • Corresponding author: Hongjun Zhang
引用本文:

马甜甜, 张红军, 顾兴, 杜娜, 余茜. 甲型流行性感冒患者外周血淋巴细胞及白细胞计数特征分析[J/OL]. 中华肺部疾病杂志(电子版), 2026, 19(05): 862-868.

Tiantian Ma, Hongjun Zhang, Xing Gu, Na Du, Xi Yu. Examining the characteristics of peripheral blood lymphocytes and leukocytes in patients with influenza A virus[J/OL]. Chinese Journal of Lung Diseases(Electronic Edition), 2026, 19(05): 862-868.

目的

甲型流行性感冒(influenza A virus)是一种常见的呼吸道传染病,临床表现和预后受到多种因素的影响,分析甲流患者外周血白细胞及淋巴细胞计数特点,探讨其在甲流病情评估中的临床意义。甲型流感早期症状缺乏特异性,易与其他呼吸道感染混淆,血常规作为简便快速的基础检验项目,可为早期识别提供线索。

方法

回顾性分析2023年1月至2025年2月在我院收治的甲型流感患者159例,依据病情将其分为非危重症者轻型及中型111例为对照组和危重症者重型及危重型48例为观察组。比较两组患者的性别、年龄、病程以及入院和出院时的外周血白细胞和淋巴细胞计数,分析临床特征。

结果

观察组男性39例(81.25%),对照组71例(63.96%),两组以男性占比居多;观察组发病时间(4.33±4.18)d、住院时间(17.21±9.91)d及总病程(21.54±11.16)d较对照组(1.88±1.81)d、(10.23±4.11)d、(12.11±4.68)d,差异比较有统计学意义(P<0.05)。观察组入院时白细胞计数[7.56(4.78,11.30)×109/L、出院时7.32(5.82,9.48)×109/L]高于非危重症组[5.64(4.20,7.48)×109/L、5.46(4.34,7.57)×109/L],P<0.005;而观察组淋巴细胞计数入院时0.50(0.29,0.75)×109/L、出院时0.86(0.60,1.46)×109/L低于非危重症组[0.92(0.63,1.40)×109/L、1.34(1.01,1.73)×109/L],P<0.005。ROC曲线分析结果显示,出院时的白细胞和淋巴细胞计数对患者生存率具有预测价值。进一步的COX回归分析表明,出院时的淋巴细胞水平显著影响患者的死亡风险,而白细胞计数的影响则较小。Kaplan-Meier生存分析显示,正常范围内白细胞和淋巴细胞计数与较好的预后相关。观察组死亡13例,对照组无死亡病例。

结论

甲型流感患者的外周血白细胞和淋巴细胞计数在临床分型和预后中具有重要意义,在临床管理中需重视这些指标,改善患者的预后和生存率。

Objective

Influenza A is a common respiratory infectious disease, and its clinical manifestations and prognosis are influenced by multiple factors. To analyze the characteristics of peripheral blood leukocyte and lymphocyte counts in patients with influenza A, and to explore their clinical significance in the assessment of influenza A severity. Early symptoms of influenza A lack specificity and are easily confused with other respiratory infections; as a simple, rapid, and basic laboratory test, the complete blood count can provide clues for early identification.

Methods

We retrospectively analyzed 159 patients with influenza A who were admitted to our hospital between January 2023 and February 2025, categorizing them into a non-severe group (mild and moderate) and a critical group (severe and critical). We compared the gender, age, duration of illness, and leukocyte and lymphocyte counts at admission and discharge between the two groups to investigate their clinical characteristics.

Results

In the observation group, there were 39 males (81.25%), and in the control group, there were 71 males (63.96%); males accounted for the majority in both groups. The time to onset (4.33±4.18) d, length of hospital stay (17.21±9.91) d, and total disease duration (21.54±11.16) d in the observation group were compared with those in the control group (1.88±1.81) d, (10.23±4.11) d, and (12.11±4.68) d, and the differences were statistically significant (P<0.05). The white blood cell count in the observation group was 7.56(4.78, 11.30)×109/L at admission and 7.32(5.82, 9.48)×109/L at discharge, which were significantly higher than those in the non critical group [5.64(4.20, 7.48)×109/L at admission and 5.46(4.34, 7.57)×109/L at discharge] (P<0.005); The lymphocyte count in the observation group was 0.50(0.29, 0.75)×109/L at admission and 0.86 (0.60, 1.46)×109/L at discharge, which were significantly lower than those in the non critical group [0.92(0.63, 1.40)×109/L at admission and 1.34(1.01, 1.73)×109/L at discharge] (P<0.005). ROC curve analysis indicated that the leukocyte and lymphocyte counts at discharge were good predictors of patient survival. Further COX regression analysis showed that the lymphocyte levels at discharge significantly affected the risk of death in patients, while the impact of leukocyte count was less significant. Kaplan-Meier survival analysis indicated that leukocyte and lymphocyte counts within the normal range were associated with better prognosis.

Conclusion

The leukocyte and lymphocyte counts in patients with influenza A are important for clinical classification and prognosis, which means these indicators should be taken seriously in clinical management to improve patient prognosis and survival rates. Future research could look into the clinical value and potential mechanisms of these indicators.

图1 甲型流感患者入院时和出院时白细胞及淋巴细胞水平
表1 甲型流行性感冒患者一般临床资料比较
图2 甲型流感患者入院和出院时白细胞和淋巴细胞水平的标准ROC曲线分析
表2 根据标准ROC分析外周血白细胞和淋巴细胞的预后价值
表3 甲型流感患者外周血白细胞和淋巴细胞水平于临界值的预后风险
图3 以临界值、LLN和ULN分组的患者累积生存率。图A为甲型流感患者入院时白细胞水平的Kaplan-Meier曲线分析;图B为甲型流感患者入院时淋巴细胞水平的Kaplan-Meier曲线分析;图C为甲型流感患者出院时白细胞水平的Kaplan-Meier曲线分析;图D为甲型流感患者出院时淋巴细胞水平的Kaplan-Meier曲线分析注:LLN为正常下限;ULN为正常上限;白细胞为leukocyte;淋巴细胞为lymphocyte
1
Liang Y. Pathogenicity and virulence of influenza[J]. Virulence, 2023, 14(1): 2223057.
2
Unal S, Schnitzler P, Giesen N, et al. Molecular epidemiology and disease severity of influenza virus infection in patients with haematological disorders[J]. J Med Virol, 2023, 95(6): e28835.
3
Simonetti O, Martini M, Armocida E. COVID-19 and Spanish flu-18: review of medical and social parallelisms between two global pandemics[J]. J Prev Med Hyg, 2021, 62(3): E613-E620.
4
席宇晶,史文欣,杨晓雪. 甲型H1N1流感疫情分析及防制对策探讨[J]. 中国病原生物学杂志,2024, 19(5): 604-606.
5
Wauquier N, Becquart P, Padilla C, et al. Human fatal zaire ebola virus infection is associated with an aberrant innate immunity and with massive lymphocyte apoptosis[J]. PLoS Negl Trop Dis, 2010, 4(10): e837.
6
Irshad M, Gupta P, Irshad K. Immunopathogenesis of liver injury during hepatitis C virus infection[J]. Viral Immunol, 2019, 32(3): 112-120.
7
Bennett S, Gunson RN, MacLean A, et al. The validation of a real-time RT-PCR assay which detects influenza A and types simultaneously for influenza A H1N1 (2009) and oseltamivir-resistant (H275Y) influenza A H1N1 (2009)[J]. J Virol Methods, 2011, 171(1): 86-90.
8
Arnal A, Vittecoq M, Pearce-Duvet J, et al. Laridae: A neglected reservoir that could play a major role in avian influenza virus epidemiological dynamics[J]. Crit Rev Microbiol, 2015, 41(4): 508-519.
9
Keynan Y, Malik S, Fowke KR. The role of polymorphisms in host immune genes in determining the severity of respiratory illness caused by pandemic H1N1 influenza[J]. Public Health Genomics, 2013, 16(1-2): 9-16.
10
Magalhaes I, Eriksson M, Linde C, et al. Difference in immune response in vaccinated and unvaccinated Swedish individuals after the 2009 influenza pandemic[J]. BMC Infect Dis, 2014, 14: 319.
11
Rodriguez-Ramirez HG, Salinas-Carmona MC, Barboza-Quintana O,et al. CD206+ cell number differentiates influenza A (H1N1)pdm09 from seasonal influenza A virus in fatal cases[J]. Mediators Inflamm, 2014, 2014: 921054.
12
张曦木,张雪倩,冯聪,等. 流行性感冒合并肺炎临床特征分析[J/OL]. 中华肺部疾病杂志(电子版), 2020, 13(1): 63-68.
13
Bernardinello N, Grisostomi G, Cocconcelli E, et al. The clinical relevance of lymphocyte to monocyte ratio in patients with Idiopathic Pulmonary Fibrosis (IPF)[J]. Respir Med, 2022, 191: 106686.
14
Vargas E, Apewokin S, Madan R. Role of the leukocyte response in normal and immunocompromised host after Clostridium difficile infection[J]. Anaerobe, 2017, 45: 101-105.
15
Zimina VN, Kravchenko AV. Impact of etiotropic therapy on the immune status of patients with HIV infection and tuberculosis[J]. Ter Arkh, 2015, 87(11): 37-41.
16
Cheng Y, Zhao H, Song P, et al. Dynamic changes of lymphocyte counts in adult patients with severe pandemic H1N1 influenza A[J]. J Infect Public Health, 2019, 12(6): 878-883.
17
Gunson R, Maclean A, Davies E, et al. Development of a multiplex real-time RT-PCR that allows universal detection of influenza A viruses and simultaneous typing of influenza A/H1N1/2009 virus[J]. J Virol Methods, 2010, 163(2): 258-261.
18
安慧琴,郭明丽,韩晓丽,等. 突发性聋患者的人格特征分析[J]. 临床耳鼻咽喉头颈外科杂志,2014, 28(7): 484-486.
19
Li Y, Reeves RM, Wang X, et al. Global patterns in monthly activity of influenza virus, respiratory syncytial virus, parainfluenza virus, and metapneumovirus: a systematic analysis[J]. Lancet Glob Health, 2019, 7(8): e1031-e1045.
20
Mendoza LM, et al. Antigenic characterization of H1N1 influenza viruses that circulated during the 2019-2020 season in philadelphia, pennsylvania[J]. Influenza Other Respir Viruses, 2025, 19(6): e70104.
21
Zhao J, Wang X, Ragupathy V, et al. Rapid detection and differentiation of swine-origin influenza A virus (H1N1/2009) from other seasonal influenza A viruses[J]. Viruses, 2012, 4(11): 3012-3019.
22
Nicola V, Marian K. Lessons iearned from the A (H1N1) influenza pandemic[J]. Best Pract Res Clin Obstet Gynaecol, 2021, 76: 41-52.
23
Delgado-Sanz C, Mazagatos C, Oliva Dominguez JA, et al. Illness severity in hospitalized influenza patients by virus type and subtype, spain, 2010-2017[J]. Emerging Infectious Diseases, 2020, 26(2): 220-228.
24
Wright CL, Cacala S. Enterocolic lymphocytic phlebitis with lymphocytic colitis, lymphocytic appendicitis, and lymphocytic enteritis[J]. Am J Surg Pathol, 2004, 28(4): 542-547.
25
Vivaldo G da C, Marielena VS, Dhullya Eduarda RS, et al. Comparative epidemiology between the 2009 H1N1 influenza and COVID-19 pandemics[J]. J Infect Public Health, 2020, 13(12): 1797-1804.
26
Toal M, Agyeman-Duah K, Schwenk A, et al. Swine flu and pregnancy[J]. J Obstet Gynaecol, 2010, 30(2): 97-100.
27
Chen JF, Sun BC, Yuan J, et al. Surveillance of influenza virus during 2010-2012 in Changsha, China[J]. Southeast Asian J Trop Med Public Health, 2014, 45(2): 319-325.
28
Alain B. From COVID to H1N1: Back to the future[J]. J Eval Clin Pract, 2024, 30(1): 119-120.
29
John CWH, Kachun N, Rachel HHC, et al. Dynamic interaction between SARS-CoV-2 and influenza a virus infection in human respiratory tissues and cells[J]. Microorganisms, 2025, 13(5): 988.
30
Giuseppe B, Michela F, Aniello M, et al. COVID-19 and H1N1-09: a systematic review of two pandemics with a focus on the lung at autopsy[J]. Front Biosci (Landmark Ed), 2022, 27(6): 182.
[1] 孙俊, 杜学钦, 臧瑞, 陈果, 沈坚. 血清降钙素原、C反应蛋白、白细胞计数、中性粒细胞计数在胃肠炎型蘑菇中毒患者中的诊断价值[J/OL]. 中华危重症医学杂志(电子版), 2025, 18(04): 301-304.
[2] 周润泽, 郭映兰, 刘霞, 韦红. 新生儿重症百日咳临床特征及危险因素分析[J/OL]. 中华妇幼临床医学杂志(电子版), 2025, 21(03): 329-336.
[3] 王国成, 刘雅静, 彭亚光. 北京市顺义区学龄前儿童血常规4项指标参考区间及其变化[J/OL]. 中华妇幼临床医学杂志(电子版), 2023, 19(02): 187-193.
[4] 龙艳明, 杨传忠, 陈广纯, 吴琴琴, 赵洁, 李耿生, 韦秀凡. 低剂量维生素K对病理性黄疸早产儿血清胆红素水平及血液学指标的影响[J/OL]. 中华妇幼临床医学杂志(电子版), 2021, 17(04): 431-437.
[5] 文福生, 张必旗, 常佳军. 多指标联合检测在小儿细菌性肺炎病原学诊断中的应用[J/OL]. 中华实验和临床感染病杂志(电子版), 2020, 14(05): 418-423.
[6] 章琪, 徐爱忠, 汪东树, 王永胜. 不同CO2气腹压对腹腔镜上消化道穿孔修补术后炎性反应的影响[J/OL]. 中华普通外科学文献(电子版), 2022, 16(04): 278-282.
[7] 王达, 朱建敏. 血小板/淋巴细胞计数比值对乳腺癌新辅助化疗疗效的预测效能[J/OL]. 中华普外科手术学杂志(电子版), 2025, 19(06): 650-653.
[8] 陶俊, 黄敏洁, 陈香, 曹磊, 徐俊伟. 炎性复合指标对慢性阻塞性肺疾病并发心房颤动风险的预测价值[J/OL]. 中华肺部疾病杂志(电子版), 2026, 19(04): 657-662.
[9] 王金强, 王妮妮, 陈荣荣, 张诚实, 张青, 冯契靓, 刘明, 程联云, 赵云峰, 雷撼, 秦二云. PIV、PLR联合D-二聚体及肌钙蛋白I对123例急性肺栓塞危险分层的回顾性研究[J/OL]. 中华肺部疾病杂志(电子版), 2026, 19(04): 586-592.
[10] 陆利芳, 徐靓, 陶丽芳, 顾震宇. 淋巴细胞计数在评估难治性支原体肺炎患儿预后中的意义[J/OL]. 中华肺部疾病杂志(电子版), 2020, 13(06): 785-787.
[11] 于小鹏, 陈晨, 陈家璐, 童焕军, 邱应和, 吴泓, 宋天强, 何宇, 毛先海, 翟文龙, 程张军, 李敬东, 耿智敏, 汤朝晖. 肝内胆管细胞癌淋巴结清扫患者生存获益的术前临床病理特征[J/OL]. 中华肝脏外科手术学电子杂志, 2023, 12(03): 278-283.
[12] 何睿, 齐心, 温冰, 李会娟, 袁戈恒. 糖尿病足坏死性软组织感染的危险因素评估[J/OL]. 中华临床医师杂志(电子版), 2021, 15(02): 81-86.
[13] 徐韫健, 吴柳, 尹小毛. 结核病γ-干扰素释放试验假阴性的影响因素分析[J/OL]. 中华临床实验室管理电子杂志, 2024, 12(02): 75-79.
[14] 黄军, 胡静美, 童辉纯, 周艳萍. 脑脊液和血清指标联合应用在小儿化脓性脑膜炎诊断中的价值[J/OL]. 中华临床实验室管理电子杂志, 2021, 09(03): 143-149.
[15] 范江砂, 徐文艳. 重症和不同分期ITP患者外周血淋巴细胞计数及其与生化指标的相关性[J/OL]. 中华卫生应急电子杂志, 2020, 06(06): 356-359.
阅读次数
全文


摘要


AI
小
编
AI小编
你好!我是《中华医学电子期刊资源库》AI小编,有什么可以帮您的吗?