Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Front Immunol. 2021 Feb 16;12:581469. doi: 10.3389/fimmu.2021.581469. eCollection 2021.
Epidemiological factors, clinical characteristics, and risk factors for the mortality of COVID-19 patients have been studied, but the role of complementary systems, possible inflammatory and immune response mechanisms, and detailed clinical courses are uncertain and require further study. In this single center, retrospective case-control study, we included all COVID-19 inpatients transferred or admitted to Wuhan Tongji Hospital from January 3 to March 30 2020 who had definite clinical outcomes (cured or deceased) with complete laboratory and radiological results. Clinical data were extracted from the electronic medical records, and compared between the cured and deceased patients. ROC curves were used to evaluate the prognostic value of the clinical parameters, and multivariable logistic regression analysis was performed to explore the risk factors for mortality. The correlation between the variables was evaluated by Spearman correlation analysis. 208 patients were included in this study, 182 patients were cured and discharged, 26 patients died from COVID-2019. Most patients had comorbidities, with hypertension as the most common chronic disease (80; 38%). The most common symptoms at onset were fever (149; 72%), cough (137; 66%), and dyspnea (113; 54%). Elevated leucocytes, neutrophils, inflammatory biomarkers (CRP, ferritin, IL6, IL8, procalcitonin), PT, D-dimer, myocardial enzymes, BUN, decreased lymphocyte and subsets (T cells, CD4 T cells, CD8 T cells, NK cells, T cells + B cells + NK cells), and immunological factors (C3, C4) indicated poor outcome. PT, C3, and T cells were confirmed as independent prognostic factors for mortality by logistic regression models. IL6 and CPR were positively correlated with neutrophils, but negatively with lymphocytes and lymphocyte subsets except B cells. IL8 and ferritin were negatively related to T cells and CD4 T cells. Positive associations existed between C3 and T cells, CD4 T cells, and CD8 T cells, whereas there was no significant correlation between C4 and lymphocyte subsets. PT was found positively correlated with IL6, IL8, and CRP. Reverse correlations were explored between C3, C4, and PT, CK-MB, total bilirubin. T cells, C3, and PT were identified as independent prognostic factors for mortality. Decreased C3 and C4, dysregulation of lymphocyte subsets and cytokines may lead to death after SARS-CoV-2 infection.
已研究了 COVID-19 患者的流行病学因素、临床特征和死亡危险因素,但补充系统的作用、可能的炎症和免疫反应机制以及详细的临床过程尚不确定,需要进一步研究。在这项单中心回顾性病例对照研究中,我们纳入了 2020 年 1 月 3 日至 3 月 30 日期间因 COVID-19 转入或收治于武汉同济医院的所有住院患者,这些患者具有明确的临床结局(治愈或死亡),且实验室和影像学检查结果完整。临床数据从电子病历中提取,并在治愈和死亡患者之间进行比较。ROC 曲线用于评估临床参数的预后价值,并进行多变量逻辑回归分析以探讨死亡的危险因素。采用 Spearman 相关分析评估变量之间的相关性。本研究共纳入 208 例患者,182 例治愈出院,26 例死于 COVID-19。大多数患者合并有基础疾病,最常见的慢性病是高血压(80 例;38%)。发病时最常见的症状是发热(149 例;72%)、咳嗽(137 例;66%)和呼吸困难(113 例;54%)。白细胞、中性粒细胞升高,炎症标志物(CRP、铁蛋白、IL6、IL8、降钙素原)、PT、D-二聚体、心肌酶、BUN 降低,淋巴细胞和亚群(T 细胞、CD4 T 细胞、CD8 T 细胞、NK 细胞、T 细胞+B 细胞+NK 细胞)以及免疫因子(C3、C4)均提示预后不良。PT、C3 和 T 细胞通过逻辑回归模型被确认为死亡的独立预后因素。IL6 和 CRP 与中性粒细胞呈正相关,与淋巴细胞和除 B 细胞以外的淋巴细胞亚群呈负相关。IL8 和铁蛋白与 T 细胞和 CD4 T 细胞呈负相关。C3 与 T 细胞、CD4 T 细胞和 CD8 T 细胞呈正相关,而 C4 与淋巴细胞亚群无显著相关性。PT 与 IL6、IL8 和 CRP 呈正相关。C3、C4 和 PT 与 CK-MB、总胆红素呈负相关。T 细胞、C3 和 PT 被确定为死亡的独立预后因素。SARS-CoV-2 感染后,C3 和 C4 减少,淋巴细胞亚群和细胞因子失调可能导致死亡。