In:
PLOS ONE, Public Library of Science (PLoS), Vol. 16, No. 1 ( 2021-1-28), p. e0246030-
Abstract:
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.
Type of Medium:
Online Resource
ISSN:
1932-6203
DOI:
10.1371/journal.pone.0246030
DOI:
10.1371/journal.pone.0246030.t001
DOI:
10.1371/journal.pone.0246030.t002
DOI:
10.1371/journal.pone.0246030.t003
DOI:
10.1371/journal.pone.0246030.t004
DOI:
10.1371/journal.pone.0246030.t005
DOI:
10.1371/journal.pone.0246030.t006
DOI:
10.1371/journal.pone.0246030.s001
DOI:
10.1371/journal.pone.0246030.s002
DOI:
10.1371/journal.pone.0246030.s003
DOI:
10.1371/journal.pone.0246030.s004
DOI:
10.1371/journal.pone.0246030.s005
DOI:
10.1371/journal.pone.0246030.s006
DOI:
10.1371/journal.pone.0246030.r001
DOI:
10.1371/journal.pone.0246030.r002
DOI:
10.1371/journal.pone.0246030.r003
DOI:
10.1371/journal.pone.0246030.r004
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2021
detail.hit.zdb_id:
2267670-3
