About: Differences of clinical and imaging findings in multiple generations of secondary COVID-19 infection in Xi'an, China

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About: Differences of clinical and imaging findings in multiple generations of secondary COVID-19 infection in Xi'an, China Goto Sponge NotDistinct Permalink

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Differences of clinical and imaging findings in multiple generations of secondary COVID-19 infection in Xi'an, China
Creator	Yang, Jian Wang, Yan Zhou, Jie Liu, Zhe Wang, Zekun Med, M Med, B Chao, § Jian, Zhijie Li, Runqing Liang, Ting Zeng, Lingxia Zhao, Huifang
Source	MedRxiv
abstract	PURPOSE: In the global presence of secondary infections with the coronavirus disease 2019 (COVID-19), little is known about the transmission characteristics of COVID-19 outside Wuhan, China. We evaluated differences in clinic and radiologic findings of multiple generations of COVID-19 infection in Xi'an (Shaanxi, China) to provide more clues for the correct estimate of the disease. METHODS: All COVID-19 infected patients reported in Xi'an up to 10 February 2020 were included for this analysis. Among these cases, clinical and chest CT data of 62 cases were obtained from three hospital in Xi'an. With this information, patients were grouped on basis of exposure history and transmission chains as first-generation, second-generation and third-generation patients. We described clinical characteristics and evaluated CT score/patterns in these COVID-19 cases. RESULTS: There was a clear age differences in multiple generations with COVID-19 infection. Above two thirds of the second-generation (75.0%) and third-generation patients (77.8%) were aged [≥]45 years while 40.0% of first-generation cases at this age (p=0.001). More than half of second-generation patients (52.8%) and third-generation patients (55.6%) have comorbidities and is predominantly hypertensive (22.8% of second-generation vs. 27.8% of third-generation infections). The main exposure of second- and third-generation patients in Xi'an is family exposure (35.2%). For evaluation of CT findings of pulmonary involvement, the total CT score were 4.22{+/-}3.00 in first-generation group, 4.35{+/-}3.03 in second-generation group and 7.62{+/-}3.56 in third-generation group (p<0.001). In all of three generations, the predominant pattern of abnormality observed was organizing pneumonia (65.5% in first-generation group, 61.5% in second-generation group and 71.4% in third-generation group). The average courses of the disease in third-generation infections has obviously extension (22.93{+/-}7.22 days of first-generation, 21.53{+/-}8.31 days of second-generation vs. 31.00{+/-}8.12 days of third-generation group, p=0.004). There were no significant differences of the pulmonary sequelae among three generation patients. CONCLUSION: There is more serious pulmonary infection of COVID-19 pneumonia in second- and third-generation patients, which might be attribute to the elder age and comorbidity of these patients.
has issue date	2020-05-25(xsd:dateTime)
bibo:doi	10.1101/2020.05.23.20109496
has license	medrxiv
sha1sum (hex)	151558f51d0abfd390d6eb765d3a4521d06cfb27
schema:url	https://doi.org/10.1101/2020.05.23.20109496
resource representing a document's title	Differences of clinical and imaging findings in multiple generations of secondary COVID-19 infection in Xi'an, China
resource representing a document's body	covid:151558f51d0abfd390d6eb765d3a4521d06cfb27#body_text
is schema:about of	named entity 'COVID-19' named entity 'China' named entity 'Xi'an' named entity 'medical conditions' named entity 'clinical characteristics' named entity 'April 19' named entity 'organizing pneumonia' named entity 'SPSS' named entity 'WHO' named entity 'peer review' named entity 'Mann-Whitney U test' named entity 'demographic information' named entity 'COVID-19 infections' named entity 'COVID' named entity 'Xi'an' named entity 'monocytes' named entity 'follow-up' named entity 'symptom' named entity 'infection' named entity 'pneumonic' named entity 'Philips Healthcare' named entity 'lung' named entity 'statistically significant' named entity 'IBM' named entity 'clinical symptoms' named entity 'lung lobes' named entity 'CT scanners' named entity 'lungs' named entity 'Wuhan' named entity 'fever' named entity 'COVID-19' named entity 'organizing pneumonia' named entity 'monocytes' named entity 'comorbidity' named entity 'medRxiv' named entity 'comorbidity' named entity 'follow-up' named entity 'ECMO' named entity 'CT scans' named entity 'epidemic curve' named entity 'phagocytosis' named entity 'diffuse alveolar damage' named entity 'chest CT' named entity 'cough' named entity 'epidemic curve' named entity 'Hypertension' named entity 'lung' named entity 'preprint' named entity 'COVID' named entity 'Chest CT' named entity 'China' named entity 'symptom' named entity 'health workers' named entity 'transmission' named entity 'coronavirus disease 2019' named entity 'Xi'an' named entity 'COVID' named entity 'China' named entity 'hospital discharge' named entity 'medRxiv' named entity 'Hubei' named entity 'lesion' named entity 'preprint' named entity 'radiological studies' named entity 'Chinese Spring Festival' named entity 'Wuhan' named entity 'travel restrictions' named entity 'preprint' named entity 'Spring Festival' named entity 'Chi-square test' named entity 'epidemiological' named entity 'GGO' named entity 'MERS'

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