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10.3760/cma.j.cn112147-20200214-00094

http://scihub22266oqcxt.onion/10.3760/cma.j.cn112147-20200214-00094
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32486557!ä!32486557

suck abstract from ncbi


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pmid32486557      Zhonghua+Jie+He+He+Hu+Xi+Za+Zhi 2020 ; 43 (6): 509-515
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  • Clinical features and high resolution CT imaging evolution of coronavirus disease 2019 #MMPMID32486557
  • Lu XF; Gong W; Wang L; Li L; Xie BJ; Peng ZF; Zha YF
  • Zhonghua Jie He He Hu Xi Za Zhi 2020[Jun]; 43 (6): 509-515 PMID32486557show ga
  • Objective: To investigate the clinical manifestations of the clinical characteristics of 141 patients with coronavirus disease 2019 (COVID-19) and the imaging evolution characteristics of High Resolution CT (HRCT) in the chest. Methods: From January 20, 2020 to February 8, 141 COVID-19 patients in Renmin Hospital of Wuhan University, 77 males and 64 females, with a median age of 49 (9,87) , were retrospectively analyzed. The clinical features, laboratory examination indexes and HRCT evolution findings of 141 COVID-19 patients were analyzed. Results: Laboratory examinations of 141 COVID-19 patients showed a decrease in white blood cell count and lymphocyte ratio. Among the 141 patients with COVID-19, fever (>37.5 ?) was the most common clinical manifestation in 139 cases (98.58%) , and occasionally non-respiratory symptoms such as diarrhea in 4 cases (2.84%) . 141 patients with COVID-19 had abnormal HRCT. 52 (36.88%) chest HRCT images showed ground-glass opacity (GGO) , mainly under pleural; 23 (16.31%) GGO with focal consolidation; 27 (19.15%) small flaky shadows; 20 cases (14.18%) large flaky consolidation shadows; 48 cases (34.04%) bronchovascular bundle thickening and vascular penetrating signs; 5 cases (3.55%) had air bronchial signs; 7 cases (4.96%) of small nodule shadows; 5 cases (3.55%) of fibrosis, grid shadows or strand shadows.135 cases (95.74%) were positive for the first time nucleic acid test, 6 cases (4.26%) were negative, and 71 cases (50.35%) of common type, 47 cases (33.33%) of severe type and 23 cases (16.31%) of critical type were found during the same period. The average time from onset of each type to the first CT examination was: (2.51+/-1.32) , (5.02+/-2.01) , and (5.91+/-1.76) days; 19 (19/47, 40.43%) of which were severe for the first time CT classification worsened at the second examination and lessened at the third examination. 141 cases (100%) were positive for the second nucleic acid test, and the HRCT results for the same period were 44 cases (31.21%) of common type, 53 cases (37.59%) of severe type, and 44 cases (31.21%) of critical type; the average interval time was (3.32+/-1.61) , (3.93+/-1.84) , (4.15+/-1.57) days;the third nucleic acid test were positive among 113 cases and 28 cases were negative, HRCT results of the same period were 79 cases (56.03%) of common type, 46 cases (32.62%) of severe type, and 16 cases (11.35%) of critical type;the average interval from the first CT examination were: (5.59+/-1.83) , (7.32+/-1.37) , (7.55+/-1.78) days. The differences in CT typing at different time were statistically significant (P<0.05) . Conclusion: The clinical features of COVID-19 and HRCT images are diverse, extensive GGO and infiltrates in both lungs are typical. Viral nucleic acid tests usually occur earlier or at the same time as the CT examination positive, and there are false negatives in nucleic acid tests. In some epidemiological backgrounds, CT imaging manifestations and evolutionary characteristics are of great significance for early warning of lung injury, assessment of disease severity, and assistance in clinical typing and post-treatment follow-up.
  • |*Tomography, X-Ray Computed[MESH]
  • |Adolescent[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |Aged, 80 and over[MESH]
  • |Betacoronavirus[MESH]
  • |COVID-19[MESH]
  • |Child[MESH]
  • |Coronavirus Infections/*diagnostic imaging/pathology[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Lung/diagnostic imaging[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/*diagnostic imaging/pathology[MESH]
  • |Retrospective Studies[MESH]
  • |SARS-CoV-2[MESH]


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