宁会彬, 李贵珍, 翟文化, 靳慧鸣, 李宽, 彭真, 蒋冬梅, 尚佳. 129例新型冠状病毒肺炎患者的血常规特点及其变化与临床分型的关系分析[J]. 上海预防医学, 2020, 32(12): 1016-1020. DOI: 10.19428/j.cnki.sjpm.2020.20565
引用本文: 宁会彬, 李贵珍, 翟文化, 靳慧鸣, 李宽, 彭真, 蒋冬梅, 尚佳. 129例新型冠状病毒肺炎患者的血常规特点及其变化与临床分型的关系分析[J]. 上海预防医学, 2020, 32(12): 1016-1020. DOI: 10.19428/j.cnki.sjpm.2020.20565
NING Hui-bin, LI Gui-zhen, ZHAI Wen-hua, JIN Hui-ming, LI Kuan, PENG Zhen, JIANG Dong-mei, SHANG Jia. Relationship between blood routine characteristics and clinical classification in 129 COVID-19 patients[J]. Shanghai Journal of Preventive Medicine, 2020, 32(12): 1016-1020. DOI: 10.19428/j.cnki.sjpm.2020.20565
Citation: NING Hui-bin, LI Gui-zhen, ZHAI Wen-hua, JIN Hui-ming, LI Kuan, PENG Zhen, JIANG Dong-mei, SHANG Jia. Relationship between blood routine characteristics and clinical classification in 129 COVID-19 patients[J]. Shanghai Journal of Preventive Medicine, 2020, 32(12): 1016-1020. DOI: 10.19428/j.cnki.sjpm.2020.20565

129例新型冠状病毒肺炎患者的血常规特点及其变化与临床分型的关系分析

Relationship between blood routine characteristics and clinical classification in 129 COVID-19 patients

  • 摘要:
    目的探讨新型冠状病毒肺炎(COVID-19)患者的血常规特点,分析血常规指标变化与临床分型的相关性。
    方法回顾性分析129例COVID-19成年患者首诊及治疗后(转归前)血常规及C反应蛋白的检测结果,计算中性粒细胞与淋巴细胞比值(NLR)、血小板与淋巴细胞比值(PLR)、淋巴细胞与单核细胞比值(LMR),比较非重症组(93例)和重症组(36例)治疗后和首诊时上述指标的差异,观察治疗后血常规指标变化与患者预后的相关性。
    结果129例患者的平均年龄为(46.9±17.4)岁,男女性比例为1.2 ∶ 1。白细胞下降者(< 4×109/L)35例(27.1%),淋巴细胞下降者(< 1.1×109/L)59例(45.7%)。两组患者的年龄、治疗天数、血常规指标差异有统计学意义;治疗前后差异有统计学意义的指标为白细胞数、中性粒细胞百分比、淋巴细胞数、淋巴细胞百分比、单核细胞数、单核细胞百分比、红细胞数、血红蛋白量、C反应蛋白、NLR;两组患者治疗前后血红蛋白量差值、血小板计数差值及NLR差值比较,差异有统计学意义(P < 0.05)。
    结论COVID-19患者年龄越大、淋巴细胞数越低、NLR和PLR越高、LMR越低以及C反应蛋白越高则患者重症的发生风险就越大。在治疗后均可出现粒细胞数的增加,尤其是淋巴细胞数的明显增加,以及C反应蛋白和NLR的下降。淋巴细胞计数、NLR、C反应蛋白水平变化能够预测COVID-19患者的重症风险及评估治疗的疗效。

     

    Abstract:
    ObjectiveTo investigate the characteristics of blood routine in 129 patients with COVID-19, and analyze the correlation between blood routine parameter changes and clinical classification.
    MethodsA total of 129 COVID-19 patients were recruited and their blood samples were collected at the beginning and the end of treatment.The neutrophil-to-lymphocyte ratio(NLR), platelet-to-lymphocyte ratio(PLR), lymphocyte-to-monocyte ratio(LMR) and C-reactive protein(CRP) were determined and used to calculate Δ NLR, Δ PLR, Δ LMR.The differences in these parameters were compared between the non-severe group (93 cases) and the severe group (36 cases).In addition, the relationship between the changes in blood routine test result and the prognosis of patients was determined.
    ResultsThe average age of 129 patients was 46.9±17.4 years old, and the ratio of male to female was 1.2 ∶ 1.Thirty-five (35) cases (27.1%) had leucopenia (< 4×109/L) and 59 cases (45.7%) had lymphopenia (< 1.1×109/L).There were statistically significant differences in age, treatment days, blood routine indexes between these two groups.In all the patients, the differences between before and after treatment were statistically significant in the following: leukocyte number, neutrophil cell percentage, lymphocyte number, lymphocyte percentage, monocyte number, monocyte percentage.The differences in RBC, HGB, CRP, and NLR between the two groups before and after treatment were also statistically significant (P < 0.05).
    ConclusionThe older COVID-19 patients have lower number of lymphocytes, higher NLR and PLR, lower LMR and higher CRP.They have a higher risk of progressing to severe disease.After treatment, there is an increase in the number of granulocytes, especially the number of lymphocytes, while a decrease in CRP and NLR.The change of lymphocyte count, NLR and CRP levels can predict the risk of severe COVID-19 and evaluate the therapeutic effect.

     

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