About: Clinical and CT features of the COVID-19 infection: comparison among four different age groups

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Clinical and CT features of the COVID-19 infection: comparison among four different age groups
Creator	Li, Wei Li, Shaolin Yu, Wenjun Cui, Huaqian Fang, Yijie Huang, Chuan Liao, Jianwei Yao, Lin Zeng, ·
Source	Medline; PMC
abstract	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.
has issue date	2020-07-13(xsd:dateTime)
bibo:doi	10.1007/s41999-020-00356-5
bibo:pmid	32662041
has license	no-cc
sha1sum (hex)	95ed7444dd30d413e6b2305f145222da4e14e66a
schema:url	https://doi.org/10.1007/s41999-020-00356-5
resource representing a document's title	Clinical and CT features of the COVID-19 infection: comparison among four different age groups
has PubMed Central identifier	PMC7355129
has PubMed identifier	32662041
schema:publication	Eur Geriatr Med
resource representing a document's body	covid:95ed7444dd30d413e6b2305f145222da4e14e66a#body_text
is schema:about of	named entity 'Aim' named entity 'middle age' named entity 'infected' named entity 'lung lobes' named entity 'COVID-19' named entity 'INVOLVEMENT' named entity 'PATIENTS' named entity 'STUDY' named entity 'MIDDLE AGE' named entity 'groups' named entity 'ground-glass opacity' named entity 'multiple' named entity 'COVID-19' named entity 'infection' named entity 'COVID' named entity 'COVID-19' named entity 'infection' named entity 'CT scan' named entity 'GGO' named entity 'upper lobe' named entity 'pneumonia' named entity 'statistical difference' named entity 'Infection' named entity 'expectoration' named entity 'lung parenchyma' named entity 'clinical symptoms' named entity 'mmHg' named entity '2019-nCoV' named entity 'Declaration of Helsinki' named entity 'cough' named entity 'exudation' named entity 'lung lobe' named entity 'radiographic' named entity 'early diagnosis' named entity 'Fisher exact test' named entity 'global pandemic' named entity 'Code of Ethics' named entity 'capillaries' named entity 'nasopharyngeal' named entity 'Spearman correlation' named entity 'mmHg' named entity 'lung' named entity 'ground-glass opacities' named entity 'fluorescence' named entity 'alveolar' named entity 'infectious disease' named entity 'alveolar' named entity 'mechanical ventilation' named entity 'Sun Yat-sen University' named entity 'COVID' named entity 'gastrointestinal symptoms' named entity 'mAs' named entity 'fever' named entity 'SARS-CoV-2' named entity 'National Health Commission' named entity 'older patients' named entity 'Informed consent' named entity 'statistically significant' named entity 'GGO' named entity 'COVID-19' named entity 'chest CT' named entity 'SPSS' named entity 'chest tightness' named entity 'prognosis' named entity 'symptoms and signs' named entity 'lesion' named entity 'older patients' named entity 'mAs' named entity 'GGO' named entity 'homogeneity of variance' named entity 'Comorbidities' named entity 'ground-glass opacity' named entity 'older patients'

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