A pandemic named coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbroke in China since December 2019 This disease has caused more than 70000 deaths worldwide We intend to analyze the risk factors of death and establish a prognosis nomogram for critical patients with COVID-19 We analyzed the clinical data of COVID-19 patients in Zhongnan Hospital of Wuhan University who were critical cases with COVID-19 before March 20, 2020 Data were collected at admission and compared between survivors and non-survivors and analyzed by univariable and multivariable logistic regression analysis Finally, 104 patients were included, and 50 of whom died Age [ OR 5 73 (95% CI, 1 14-28 81)], chest tightness [OR 5 50 (95%CI, 1 02-29 64)], AST [OR 6 57 (95%CI, 1 33-32 48)]and BUN [5 59 (95%CI, 1 05-29 74)] at admission were considered to predict the risk of death in critical patients and were selected to construct the nomogram Subsequently, we established a nomogram model and validated it The sensitivity and specificity of the nomogram were 96 0% and 74 1%, respectively The AUC was 0 893 (95% CI, 0 807-0 980)
Risk factors analysis and nomogram construction of non-survivors in critical patients with COVID-19