About: Differential diagnosis of coronavirus disease 2019 from community-acquired-pneumonia by computed tomography scan and follow-up

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About: Differential diagnosis of coronavirus disease 2019 from community-acquired-pneumonia by computed tomography scan and follow-up Goto Sponge NotDistinct Permalink

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Differential diagnosis of coronavirus disease 2019 from community-acquired-pneumonia by computed tomography scan and follow-up
Creator	Wei, Wei Xu, Ping Chen, Lei Hu, Bo Gu, Jin-Feng Liu, Kai-Cai Lv, Wei-Fu Qiu, Xiao-Hui Yao, Jin-Long
Source	Medline; PMC
abstract	OBJECTIVE: Coronavirus disease 2019 (COVID-19) is currently the most serious infectious disease in the world. An accurate diagnosis of this disease in the clinic is very important. This study aims to improve the differential ability of computed tomography (CT) to diagnose COVID-19 and other community-acquired pneumonias (CAPs) and evaluate the short-term prognosis of these patients. METHODS: The clinical and imaging data of 165 COVID-19 and 118 CAP patients diagnosed in seven hospitals in Anhui Province, China from January 21 to February 28, 2020 were retrospectively analysed. The CT manifestations of the two groups were recorded and compared. A correlation analysis was used to examine the relationship between COVID-19 and age, size of lung lesions, number of involved lobes, and CT findings of patients. The factors that were helpful in diagnosing the two groups of patients were identified based on specificity and sensitivity. RESULTS: The typical CT findings of COVID-19 are simple ground-glass opacities (GGO), GGO with consolidation or grid-like changes. The sensitivity and specificity of the combination of age, white blood cell count, and ground-glass opacity in the diagnosis of COVID-19 were 92.7 and 66.1%, respectively. Pulmonary consolidation, fibrous cords, and bronchial wall thickening were used as indicators to exclude COVID-19. The sensitivity and specificity of the combination of these findings were 78.0 and 63.6%, respectively. The follow-up results showed that 67.8% (112/165) of COVID-19 patients had abnormal changes in their lung parameters, and the severity of the pulmonary sequelae of patients over 60 years of age worsened with age. CONCLUSIONS: Age, white blood cell count and ground-glass opacity have high accuracy in the early diagnosis of COVID-19 and the differential diagnosis from CAP. Patients aged over 60 years with COVID-19 have a poor prognosis. This result provides certain significant guidance for the diagnosis and treatment of new coronavirus pneumonia.
has issue date	2020-08-26(xsd:dateTime)
bibo:doi	10.1186/s40249-020-00737-9
bibo:pmid	32843064
has license	cc-by
sha1sum (hex)	e4bf24a3b7c51151f268960c4b8069b866509e05
schema:url	https://doi.org/10.1186/s40249-020-00737-9
resource representing a document's title	Differential diagnosis of coronavirus disease 2019 from community-acquired-pneumonia by computed tomography scan and follow-up
has PubMed Central identifier	PMC7447615
has PubMed identifier	32843064
schema:publication	Infect Dis Poverty
resource representing a document's body	covid:e4bf24a3b7c51151f268960c4b8069b866509e05#body_text
is schema:about of	named entity 'compared' named entity 'recorded' named entity 'retrospectively' named entity 'identified' named entity 'specificity' named entity 'COVID-19' named entity 'groups' named entity 'clinical' named entity 'aims' named entity 'number' named entity 'disease' named entity 'infectious disease' named entity 'COVID-19' named entity 'Coronavirus disease 2019' named entity 'China' named entity 'correlation' named entity 'chest CT' named entity 'COVID' named entity 'SARS-CoV-2' named entity 'China' named entity 'Thoracic' named entity 'sputum' named entity 'COVID-19' named entity 'COVID' named entity 'lung' named entity 'clinical features' named entity 'correlation coefficient' named entity 'white blood cell (WBC) count' named entity 'covid-19' named entity 'coronavirus' named entity 'COVID-19' named entity 'COVID-19' named entity 'early diagnosis' named entity 'CT scanners' named entity 'chest CT' named entity 'COVID-19' named entity 'COVID' named entity 'significant difference' named entity 'COVID' named entity 'CAP' named entity 'lesion' named entity 'COVID-19' named entity 'positive correlation' named entity 'COVID' named entity 'COVID' named entity 'CAP' named entity 'statistical analysis' named entity 'renal failure' named entity 'CAP' named entity 'dyspnoea' named entity 'community-acquired pneumonia' named entity 'COVID' named entity 'plasma cells' named entity 'bacterial infection' named entity 'lung' named entity 'GGO' named entity 'clinical characteristics' named entity 'incidence rate' named entity 'CAP' named entity 'CAP' named entity 'emphysema' named entity 'bronchitis' named entity 'radiologists' named entity 'pneumonia' named entity 'lungs' named entity 'glass shadows' named entity 'CAP' named entity 'CAP' named entity 'leukocytes' named entity 'SARS-CoV-2' named entity 'RT-PCR' named entity 'CAP' named entity 'COVID'

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