Abstract
Purpose
Since the outbreak in late December 2019 in Wuhan, China, coronavirus disease-2019 (COVID-19) has become a global pandemic. We analyzed and compared the clinical, laboratory, and radiological characteristics between survivors and non-survivors and identify risk factors for mortality.
Methods
Clinical and laboratory variables, radiological features, treatment approach, and complications were retrospectively collected in two centers of Hubei province, China. Cox regression analysis was conducted to identify the risk factors for mortality.
Results
A total of 432 patients were enrolled, and the median patient age was 54 years. The overall mortality rate was 5.09% (22/432). As compared with the survivor group (n = 410), those in the non-survivor group (n = 22) were older, and they had a higher frequency of comorbidities and were more prone to suffer from dyspnea. Several abnormal laboratory variables indicated that acute cardiac injury, hepatic damage, and acute renal insufficiency were detected in the non-survivor group. Non-surviving patients also had a high computed tomography (CT) score and higher rate of consolidation. The most common complication causing death was acute respiratory distress syndrome (ARDS) (18/22, 81.8%). Multivariate Cox regression analysis revealed that hemoglobin (Hb) <90 g/L (hazard ratio, 10.776; 95% confidence interval, 3.075–37.766; p<0.0001), creatine kinase (CK-MB) >8 U/L (9.155; 2.424–34.584; p = 0.001), lactate dehydrogenase (LDH) >245 U/L (5.963; 2.029–17.529; p = 0.001), procalcitonin (PCT) >0.5 ng/ml (7.080; 1.671–29.992; p = 0.008), and CT score >10 (39.503; 12.430–125.539; p<0.0001) were independent risk factors for the mortality of COVID-19.
Conclusions
Low Hb, high LDH, PCT, and CT score on admission were the predictors for mortality and could assist clinicians in early identification of poor prognosis among COVID-19 patients.
Funder
Youth Research Fund from Fujian Provincial Health Bureau
Young people training project from Fujian Province Health Bureau
Natural Science Foundation of Fujian Province
Publisher
Public Library of Science (PLoS)
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