(1. Department of Emergency, Traditional Chinese Medicine Hospital of Kunshan Affiliated to Nanjing University of Traditional Chinese Medicine, Kunshan Jiangsu 215300; 2. Department of General Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan Hubei 430030, China)
Abstract:Objective: To analyse the relevant clinical predictors of patients who died of severe novel coronavirus disease 2019(COVID19). Methods: Fiftyone patients who died of severe COVID-19 (death group) admitted to the Intensive Care Unit of Wuhan Tongji Guanggu Hospital from February to March 2020, and 67 patients who did not die from severe COVID-19 at the same time (nondeath group) were selected. Further, the clinical manifestations, imaging findings, and laboratory examinations of the two groups were compared and analyzed. Results: There were significant differences in age, smoking history (>10 years), chronic obstructive pulmonary disease (COPD), respiratory failure, heart failure, sepsis, renal failure, multiple organ dysfunction syndrome (MODS), more than 50% lung involvement, aspartate aminotransferase, urea nitrogen, lactate dehydrogenase, glomerular filtration rate (eGFR) and heart failure marker Nterminal probrain natriuretic peptide between the two groups (P<0.05). However, multivariate logistic regression analysis found that only age, smoking history (>10 years), respiratory failure, MODS, BUN and eGFR were correlated with the prognosis of COVID-19 patients (P<0.05). Conclusion: Severe COVID19 patients who are older than 67 years old, with a history of smoking more than 10 years or COPD, or respiratory failure, MODS, and significantly elevated indicators of urea nitrogen and eGFR during treatment, which often indicates aggravation of the disease and risk of death.
[2]Kannan S, Shaik Syed Ali P, Sheeza A, et al. COVID19 (Novel Coronavirus 2019)recent trends\[J\]. Eur Rev Med Pharmacol Sci, 2020, 24(4):2006-2011.
[3]RicoMesa JS, White A, Anderson AS. Outcomes in patients with COVID19 infection taking ACEI/ARB\[J\]. Curr Cardiol Rep, 2020, 22(5):31.
[4]Tian S, Hu N, Lou J, et al. Characteristics of COVID19 infection in Beijing\[J\]. J Infect, 2020, 80(4):401-406.
[5]Jiang F, Deng L, Zhang L, et al. Review of the clinical characteristics of coronavirus disease 2019 (COVID19)\[J\]. J Gen Intern Med, 2020, 35(5):1545-1549.
[7]SifuentesRodríguez E, PalaciosReyes D. COVID19: The outbreak caused by a new coronavirus\[J\]. Bol Med Hosp Infant Mex, 2020, 77(2):47-53.
[8]Gosain R, Abdou Y, Singh A, et al. COVID19 and cancer: a comprehensive review\[J\]. Curr Oncol Rep, 2020, 22(5):53.
[9]Lauer SA, Grantz KH, Bi Q, et al. The incubation period of coronavirus disease 2019 (COVID19) from publicly reported confirmed cases: estimation and application\[J\]. Ann Intern Med, 2020, 172(9):577-582.
[10]Meng L, Hua F, Bian Z. Coronavirus disease 2019 (COVID19): emerging and future challenges for dental and oral medicine\[J\]. J Dent Res, 2020, 99(5):481-487.