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10.1007/s41999-020-00356-5

http://scihub22266oqcxt.onion/10.1007/s41999-020-00356-5
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32662041!7355129!32662041
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suck abstract from ncbi


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pmid32662041      Eur+Geriatr+Med 2020 ; 11 (5): 843-850
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  • Clinical and CT features of the COVID-19 infection: comparison among four different age groups #MMPMID32662041
  • Li W; Fang Y; Liao J; Yu W; Yao L; Cui H; Zeng X; Li S; Huang C
  • Eur Geriatr Med 2020[Oct]; 11 (5): 843-850 PMID32662041show ga
  • PURPOSE: To compare and analyze the clinical and CT features of coronavirus disease 2019 (COVID-19) among four different age groups. METHODS: 97 patients (45 males, 52 females, mean age, 66.2 +/- 5.0) with chest CT examination and positive reverse transcriptase-polymerase chain reaction test (RT-PCR) from January 17, 2020 to February 21, 2020 were retrospectively studied. The patients were divided into four age groups (children [0-17 years], young adults [18-44 years], middle age [45-59 years], and senior [>/= 60 years]) according to their age after the diagnosis was made based on PCR test and clinical symptoms. RESULTS: Comorbidities such as hypertension, diabetes mellitus, and heart disease are more common in the senior group. Cluster onset (two or more confirmed cases in a small area) is more common in the children group and senior group. Older patients were found to have a higher incidence of the highest clinical classification (severe or critical) in these four groups. Senior patients have a higher incidence of large/multiple ground-glass opacity (GGO). Child patients are mostly negative for chest CT or with involvement of only one lobe of the lung; while in older patients, there was a higher incidence of involvement of four or five lung lobes. The frequency of lobe involvement was also found to have significant differences in the four age groups. CONCLUSION: The clinical and imaging features of patients in different age groups were found to be significantly different. A better understanding of the age differences in comorbidities, cluster onset, highest clinical classification, large/multiple GGO, numbers of lobes affected, and frequency of lobe involvement can be useful in the diagnosis of COVID-19 patients of different ages.
  • |*Coronavirus Infections/diagnostic imaging/epidemiology/pathology[MESH]
  • |*Pandemics[MESH]
  • |*Pneumonia, Viral/diagnostic imaging/epidemiology/pathology[MESH]
  • |*Tomography, X-Ray Computed[MESH]
  • |Adolescent[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |Betacoronavirus[MESH]
  • |COVID-19[MESH]
  • |Child[MESH]
  • |Child, Preschool[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Infant[MESH]
  • |Infant, Newborn[MESH]
  • |Lung/diagnostic imaging/pathology[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Retrospective Studies[MESH]
  • |SARS-CoV-2[MESH]
  • |Severity of Illness Index[MESH]


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