空军军医大学学报2025，Vol.46Issue(6)：733-738,6.DOI:10.13276/j.issn.2097-1656.2025.06.006
外周血淋巴细胞衍生参数在甲型流行性感冒病毒肺炎早期识别中的作用
Role of peripheral blood lymphocyte-derived parameters in the early identification of influenza A virus pneumonia
摘要
Abstract
Objective To explore the role of peripheral blood lymphocyte-derived parameters[systemic immune-inflammation index(SII),neutrophil to lymphocyte ratio(NLR),platelet to lymphocyte ratio(PLR),and C-reactive protein to lymphocyte ratio(CLR)]in the early identification of pneumonia in patients infected with influenza A virus.Methods A retrospective collection of clinical data from hospitalized patients with influenza A virus infection at Tangdu Hospital,Air Force Medical University from October 2023 to October 2024 was conducted.There were 101 cases in the non-pneumonia group and 106 cases in the pneumonia group.Results Patients in the influenza A virus pneumonia group had a higher average age and more frequent cough symptoms.Inflammatory markers such as C-reactive protein(CRP),D-dimer,white blood cells,and neutrophils were significantly elevated,while lymphocytes and eosinophil levels were decreased.Peripheral blood lymphocyte-derived parameters SII,NLR,PLR,and CLR were significantly increased in the pneumonia group and positively correlated with the expression levels of CRP.ROC analysis showed that the AUC values and their 95％CI for SII,NLR,PLR,and CLR were 0.654(0.579-0.728),0.670(0.596-0.743),0.620(0.544-0.696),and 0.667(0.593-0.740),respectively.When used in combination,the AUC value and its 95％CI reached 0.702(0.631-0.773),which significantly exceeded the diagnostic benefit of a single parameter.Conclusion Peripheral blood lymphocyte-derived parameters SII,NLR,PLR,and CLR have application value in the early identification of pneumonia in patients infected with influenza A virus.关键词
甲型流行性感冒病毒/肺炎/外周血淋巴细胞衍生参数Key words
influenza A virus/pneumonia/peripheral blood lymphocyte-derived parameters分类
临床医学引用本文复制引用
高富国,高永恒,金发光..外周血淋巴细胞衍生参数在甲型流行性感冒病毒肺炎早期识别中的作用[J].空军军医大学学报,2025,46(6):733-738,6.基金项目
国家自然科学基金面上项目(82270084) （82270084）
陕西省重点产业链项目(2022ZDLSF01-10) （2022ZDLSF01-10）
