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10.1007/s13312-020-1816-8

http://scihub22266oqcxt.onion/10.1007/s13312-020-1816-8
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32255437!7240239!32255437
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suck abstract from ncbi


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pmid32255437      Indian+Pediatr 2020 ; 57 (5): 423-426
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  • Radiographic and Clinical Features of Children With Coronavirus Disease (COVID-19) Pneumonia #MMPMID32255437
  • Li B; Shen J; Li L; Yu C
  • Indian Pediatr 2020[May]; 57 (5): 423-426 PMID32255437show ga
  • OBJECTIVE: The purpose of this study was to investigate chest computed tomography (CT) findings in children with coronavirus disease-19 (COVID-19) pneumonia in our hospital. METHODS: This study included 22 pediatric patients with confirmed COVID-19 from January to March, 2020. The chest CT images and clinical data were reviewed. RESULTS: The most prevalent presenting symptoms were fever (64%) and cough (59%), and a mildly elevated mean (SD) C-reactive protein (CRP) level of 11.22(11.06) and erythrocyte sedimentation rateof 18.8(15.17) were detected. The major CT abnormalities observed were mixed ground-glass opacity and consolidation lesions (36%), consolidations (32%), and ground-glass opacities (14%). Peripheral distribution (45%) of lung lesions was predominant. Most of the lesions were multilobar(68%), with an average of three lung segments involved. CONCLUSIONS: Children with COVID-19 had relatively milder symptoms and less severe lung inflammation than adults. Chest CT plays an important role in the management of children with COVID-19 pneumonia.
  • |*Coronavirus Infections/diagnosis/epidemiology/physiopathology[MESH]
  • |*Pandemics[MESH]
  • |*Pneumonia, Viral/diagnosis/epidemiology/etiology/physiopathology[MESH]
  • |Betacoronavirus/*isolation & purification[MESH]
  • |COVID-19[MESH]
  • |COVID-19 Testing[MESH]
  • |Child[MESH]
  • |China/epidemiology[MESH]
  • |Clinical Laboratory Techniques/methods[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Lung/*diagnostic imaging[MESH]
  • |Male[MESH]
  • |Outcome and Process Assessment, Health Care[MESH]
  • |Reproducibility of Results[MESH]
  • |SARS-CoV-2[MESH]
  • |Symptom Assessment/*methods[MESH]


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