TY - JOUR T1 - Cytokines and their relationship with the severity and prognosis of coronavirus disease 2019 (COVID-19): a retrospective cohort study JF - BMJ Open JO - BMJ Open DO - 10.1136/bmjopen-2020-041471 VL - 10 IS - 11 SP - e041471 AU - Qing Quan Liu AU - Anying Cheng AU - Yiru Wang AU - Haifang Li AU - Liu Hu AU - Xuecheng Zhao AU - Tao Wang AU - Fan He Y1 - 2020/11/01 UR - http://bmjopen.bmj.com/content/10/11/e041471.abstract N2 - Objective To delineate the characteristics and clinical significance of plasma inflammatory cytokines altered in COVID-19.Design Retrospective, single-centre cohort study.Setting Tongji Hospital in Wuhan, China.Participants Among a cohort of 308 patients with a diagnosis of COVID-19, 138 patients died while 170 patients recovered and were discharged from the hospital. The data were collected until 27 February 2020.Primary and secondary outcome measures Clinical characteristics and laboratory findings were obtained from electronic medical records using data collection forms.Results The percentage of patients with elevated interleukin 2 receptor (IL-2R), IL-6, IL-8, IL-10 and tumour necrosis factor (TNF) increased with severity of disease (p<0.0001 for all). IL-2R (p<0.0001), IL-6 (p<0.0001), IL-8 (p=0.0001), IL-10 (p<0.0001) and TNF (p<0.0001) were also twofold to 20-fold higher in patients who died compared with those who recovered. Also, IL-6 and IL-10 increased in both the progressive patient groups: moderate (p=0.0026) and severe (p<0.0001). In multivariate analysis, higher levels of IL-2R (OR 1.001, 95% CI 1.000 to 1.002, p=0.031) and IL-6 (OR 1.013, 95% CI 1.003 to 1.024, p=0.015) on admission were associated with increasing odds of in-hospital death, independent of other covariates, including severity of disease and lymphocyte count.Conclusion Increased proinflammatory and anti-inflammatory cytokines, including IL-2R, IL-6, IL-8, TNF and IL-10, showed an obvious association with both COVID-19 severity and in-hospital mortality. Thus, our study indicates that cytokines are valuable in predicting the severity of COVID-19 and helps in distinguishing critically ill patients from the less affected ones. ER -