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目的:回顾性分析武汉市第三医院收治的重症新型冠状病毒肺炎(COVID-19)患者血液白细胞计数(WBC)、淋巴细胞计数(LYM)、淋巴细胞%(LYM%)、血清免疫球蛋白(IGA、IGG、IGM)以及补体(C3、C4)等指标水平，探讨其与COVID-19重症患者转归的相关性并评价其预测价值。方法:随机筛选武汉市第三医院确诊的85例COVID-19重症患者，分为转归良好组(50例)和转归不良组(35例)，统计分析比较两组入院早期的WBC、LYM、LYM%、IGA、IGG、IGM以及C3、C4水平、组间的差异、各指标的相关性、以及单检和联检时的ROC曲线，判断各指标和转归的关系以及对转归的预测效能。结果:两组间WBC、LYM、LYM%、IGG、IGA水平差异均有统计学意义(n P＝0.000，0.015，0.000，0.000，0.001)，其中LYM、LYM%呈显著正相关(n r＝0.669，n P＝0.000)，而WBC与LYM%水平呈显著负相关(n r＝-0.600，n P＝0.000)，WBC与IGA水平之间呈显著正相关(n r＝0.283，n P＝0.009)且IGG与IGA水平亦呈显著正相关(n r＝0.0.442，n P＝0.000)；n Logistic回归分析后，WBC、LYM、LYM%、IGG、IGA均是转归的重要影响因素(n P＝0.001，0.022，0.000，0.000，0.003)；但只有WBC、IGG和LYM%水平是转归不良的独立风险因素(n P＝0.034，0.004，0.001)，对其预测转归效能分别作单检及联检ROC曲线，同时联检WBC、LYM%、IGG时AUC最大(AUC＝0.890，n P＝0.000)，约登指数n YI＝0.657时，对于不良转归有最大的预测效能，灵敏度为77.10%和特异度为88.00%。其它指标IGM、C3、C4、IGG/IGM、C3/C4水平的差异无统计学意义(n P＝0.066，0.204，0.076，0.310，0.156)。n 结论:COVID-19重症患者入院早期的WBC、LYM、LYM%、IGG、IGA水平对COVID-19重症肺炎转归有重要预测价值，WBC、LYM%和IGG水平是不良转归的独立风险因子，联检三者对转归预测效能最佳。“,”Objective:To retrospectively analyze the blood leukocytes (WBC), lymphocytes (LYM), lymphocyte% (LYM%), and serum total immunoglobulin (IGA, IGG, IGM) and complement (C3, C4) index levels to explore its predictive value for the outcome of COVID-19 severe pneumonia.Methods:Eighty-five COVID-19 patients with severe pneumonia diagnosed in our hospital were randomly selected and were divided into good outcome group (50 cases) and poor outcome group (35 cases). WBC, LYM, LYM%, IGA, IGG, IGM, and C3, C4 level data, and analyze the differences between the two groups, the correlation of each indicator, and ROC curves of single and joint detection to explore relationship between indicators and outcomes, and the predictive efficacy of indicators on outcomes.Results:Differences in WBC, LYM, LYM%, IGG, and IGA levels were significant between the two groups (n P=0.000, 0.015, 0.000, 0.000, 0.001), among them with significant differences, LYM and LYM% were significantly positively correlated (n r=0.669, n P=0.000), while WBC and LYM% levels were significantly negatively correlated (n r=-0.600, n P=0.000), WBC and IGA levels were significantly positively correlated (n r=0.283, n P=0.009) and IGG and IGA levels were also significantly positively correlated (n r=0.0.442, n P=0.000); After logistic regression analysis, WBC, LYM, LYM%, IGG, and IGA are all important influencing factors (n P=0.001, 0.022, 0.000, 0.000, 0.003); but only the levels of WBC, IGG, and LYM% are Independent risk factors (n P=0.034, 0.004, 0.001), the n ROC curve of the single detection and joint detection of their predicted outcome performance, respectively, and the max AUC (AUC=0.890, n P=0.000) at the time of joint testing of WBC, LYM% and IGG, index YI=0.657, it has the greatest predictive power for adverse outcomes, with a sensitivity of 77.10% and a specificity of 88.00%. IGM, C3, C4, IGG/IGM, and C3/C4 levels were not significantly different(n P=0.066, 0.204, 0.076, 0.310, 0.156).n Conclusions:The levels of WBC, LYM, LYM%, IGG, and IGA in the early admission of COVID-19 infected patients with severe pneumonia have important predictive value for the outcome of them. WBC, LYM% and IGG levels are independent risks and joint detection of the three indexes have the best predictive performance.