Clinical and CT characteristics of healthcare workers with COVID-19: A single-centered, retrospective study.
Identifieur interne : 000777 ( Main/Exploration ); précédent : 000776; suivant : 000778Clinical and CT characteristics of healthcare workers with COVID-19: A single-centered, retrospective study.
Auteurs : Ying Xiong [République populaire de Chine] ; Qiang Zhang ; Dong Sun ; Wenzhen ZhuSource :
- Medicine [ 1536-5964 ] ; 2020.
Descripteurs français
- KwdFr :
- Adulte (MeSH), Adulte d'âge moyen (MeSH), Betacoronavirus (MeSH), Exposition professionnelle (effets indésirables), Femelle (MeSH), Humains (MeSH), Infections à coronavirus (imagerie diagnostique), Infections à coronavirus (transmission), Infections à coronavirus (virologie), Maladies professionnelles (imagerie diagnostique), Maladies professionnelles (virologie), Mâle (MeSH), Pandémies (MeSH), Personnel de santé (statistiques et données numériques), Pneumopathie virale (imagerie diagnostique), Pneumopathie virale (transmission), Pneumopathie virale (virologie), Poumon (anatomopathologie), Poumon (imagerie diagnostique), Sujet âgé (MeSH), Tomodensitométrie (méthodes), Transmission de maladie infectieuse du patient au professionnel de santé (MeSH), Études rétrospectives (MeSH).
- MESH :
- anatomopathologie : Poumon.
- effets indésirables : Exposition professionnelle.
- imagerie diagnostique : Infections à coronavirus, Maladies professionnelles, Pneumopathie virale, Poumon.
- méthodes : Tomodensitométrie.
- statistiques et données numériques : Personnel de santé.
- virologie : Infections à coronavirus, Maladies professionnelles, Pneumopathie virale.
- transmission : Adulte, Adulte d'âge moyen, Betacoronavirus, Femelle, Humains, Infections à coronavirus, Mâle, Pandémies, Pneumopathie virale, Sujet âgé, Transmission de maladie infectieuse du patient au professionnel de santé, Études rétrospectives.
English descriptors
- KwdEn :
- Adult (MeSH), Aged (MeSH), Betacoronavirus (MeSH), Coronavirus Infections (diagnostic imaging), Coronavirus Infections (transmission), Coronavirus Infections (virology), Female (MeSH), Health Personnel (statistics & numerical data), Humans (MeSH), Infectious Disease Transmission, Patient-to-Professional (MeSH), Lung (diagnostic imaging), Lung (pathology), Male (MeSH), Middle Aged (MeSH), Occupational Diseases (diagnostic imaging), Occupational Diseases (virology), Occupational Exposure (adverse effects), Pandemics (MeSH), Pneumonia, Viral (diagnostic imaging), Pneumonia, Viral (transmission), Pneumonia, Viral (virology), Retrospective Studies (MeSH), Tomography, X-Ray Computed (methods).
- MESH :
- adverse effects : Occupational Exposure.
- diagnostic imaging : Coronavirus Infections, Lung, Occupational Diseases, Pneumonia, Viral.
- methods : Tomography, X-Ray Computed.
- pathology : Lung.
- statistics & numerical data : Health Personnel.
- transmission : Coronavirus Infections, Pneumonia, Viral.
- virology : Coronavirus Infections, Occupational Diseases, Pneumonia, Viral.
- Adult, Aged, Betacoronavirus, Female, Humans, Infectious Disease Transmission, Patient-to-Professional, Male, Middle Aged, Pandemics, Retrospective Studies.
Abstract
A large number of healthcare workers have been infected with coronavirus disease-2019 (COVID-19). We aimed to investigate their clinical and chest computed tomography (CT) characteristics.The clinical, laboratory test and CT features of 43 medical and hospital staff with confirmed COVID-19 (MP group, 26-70 years old) were retrospectively analyzed, and compared to 43 non-medical related patients (non-MP group, 26-71 years old). Follow-up CT characteristics were analyzed to assess the disease progression in the period of hospitalization.At admission, the main complaints of the MP group, including fever (81.4%), fatigue (48.8%) and cough (41.9%), were similar to the non-MP group. The C-reactive protein, erythrocyte sedimentation rate, and lactate dehydrogenase levels were higher in the non-MP group than the MP group (17.5 ± 22.4 mg/L, 20.2 ± 23.4 mm/H and 219 ± 66U/L, respectively, P < .05). Ground-grass opacities, consolidation, interstitial thickening were common CT features of both groups. The severity of opacities on initial CT were less in the MP group (5.3 ± 3.9 scores) than in the non-MP group (9.1 ± 4.8 scores, P < .05). Before regular treatments, the sum score of the opacities showed weak to moderate correlations with duration, C-reactive protein, erythrocyte sedimentation rate and lactate dehydrogenase levels (R ranged from 0.341-0.651, P < .05). In the study time window, the duration from illness onset to when the most obvious pulmonary opacities were observed, according to CT findings, were similar in the MP group (13.3 ± 6.6 days) and the non-MP group (13.8 ± 5.1 days, P = .69). Mild to moderate anxiety and depression were observed in both groups.Despite greater knowledge of how to protect themselves than the general population, healthcare workers are also susceptible to COVID-19 infection. Occupational exposure is a very important factor. Healthcare workers have a higher vigilance about the infection in the early stage of the disease.
DOI: 10.1097/MD.0000000000021396
PubMed: 32791752
PubMed Central: PMC7386973
Affiliations:
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rétrospectives</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">A large number of healthcare workers have been infected with coronavirus disease-2019 (COVID-19). We aimed to investigate their clinical and chest computed tomography (CT) characteristics.The clinical, laboratory test and CT features of 43 medical and hospital staff with confirmed COVID-19 (MP group, 26-70 years old) were retrospectively analyzed, and compared to 43 non-medical related patients (non-MP group, 26-71 years old). Follow-up CT characteristics were analyzed to assess the disease progression in the period of hospitalization.At admission, the main complaints of the MP group, including fever (81.4%), fatigue (48.8%) and cough (41.9%), were similar to the non-MP group. The C-reactive protein, erythrocyte sedimentation rate, and lactate dehydrogenase levels were higher in the non-MP group than the MP group (17.5 ± 22.4 mg/L, 20.2 ± 23.4 mm/H and 219 ± 66U/L, respectively, P < .05). Ground-grass opacities, consolidation, interstitial thickening were common CT features of both groups. The severity of opacities on initial CT were less in the MP group (5.3 ± 3.9 scores) than in the non-MP group (9.1 ± 4.8 scores, P < .05). Before regular treatments, the sum score of the opacities showed weak to moderate correlations with duration, C-reactive protein, erythrocyte sedimentation rate and lactate dehydrogenase levels (R ranged from 0.341-0.651, P < .05). In the study time window, the duration from illness onset to when the most obvious pulmonary opacities were observed, according to CT findings, were similar in the MP group (13.3 ± 6.6 days) and the non-MP group (13.8 ± 5.1 days, P = .69). Mild to moderate anxiety and depression were observed in both groups.Despite greater knowledge of how to protect themselves than the general population, healthcare workers are also susceptible to COVID-19 infection. Occupational exposure is a very important factor. Healthcare workers have a higher vigilance about the infection in the early stage of the disease.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32791752</PMID><DateCompleted><Year>2020</Year><Month>08</Month><Day>24</Day></DateCompleted><DateRevised><Year>2020</Year><Month>08</Month><Day>24</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1536-5964</ISSN><JournalIssue CitedMedium="Internet"><Volume>99</Volume><Issue>30</Issue><PubDate><Year>2020</Year><Month>Jul</Month><Day>24</Day></PubDate></JournalIssue><Title>Medicine</Title><ISOAbbreviation>Medicine (Baltimore)</ISOAbbreviation></Journal><ArticleTitle>Clinical and CT characteristics of healthcare workers with COVID-19: A single-centered, retrospective study.</ArticleTitle><Pagination><MedlinePgn>e21396</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1097/MD.0000000000021396</ELocationID><Abstract><AbstractText>A large number of healthcare workers have been infected with coronavirus disease-2019 (COVID-19). We aimed to investigate their clinical and chest computed tomography (CT) characteristics.The clinical, laboratory test and CT features of 43 medical and hospital staff with confirmed COVID-19 (MP group, 26-70 years old) were retrospectively analyzed, and compared to 43 non-medical related patients (non-MP group, 26-71 years old). Follow-up CT characteristics were analyzed to assess the disease progression in the period of hospitalization.At admission, the main complaints of the MP group, including fever (81.4%), fatigue (48.8%) and cough (41.9%), were similar to the non-MP group. The C-reactive protein, erythrocyte sedimentation rate, and lactate dehydrogenase levels were higher in the non-MP group than the MP group (17.5 ± 22.4 mg/L, 20.2 ± 23.4 mm/H and 219 ± 66U/L, respectively, P < .05). Ground-grass opacities, consolidation, interstitial thickening were common CT features of both groups. The severity of opacities on initial CT were less in the MP group (5.3 ± 3.9 scores) than in the non-MP group (9.1 ± 4.8 scores, P < .05). Before regular treatments, the sum score of the opacities showed weak to moderate correlations with duration, C-reactive protein, erythrocyte sedimentation rate and lactate dehydrogenase levels (R ranged from 0.341-0.651, P < .05). In the study time window, the duration from illness onset to when the most obvious pulmonary opacities were observed, according to CT findings, were similar in the MP group (13.3 ± 6.6 days) and the non-MP group (13.8 ± 5.1 days, P = .69). Mild to moderate anxiety and depression were observed in both groups.Despite greater knowledge of how to protect themselves than the general population, healthcare workers are also susceptible to COVID-19 infection. Occupational exposure is a very important factor. Healthcare workers have a higher vigilance about the infection in the early stage of the disease.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Xiong</LastName><ForeName>Ying</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>aDepartment of Radiology bDepartment of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Qiang</ForeName><Initials>Q</Initials></Author><Author ValidYN="Y"><LastName>Sun</LastName><ForeName>Dong</ForeName><Initials>D</Initials></Author><Author ValidYN="Y"><LastName>Zhu</LastName><ForeName>Wenzhen</ForeName><Initials>W</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D023362">Evaluation Study</PublicationType><PublicationType UI="D016428">Journal 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MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009784" MajorTopicYN="N">Occupational Diseases</DescriptorName><QualifierName UI="Q000000981" MajorTopicYN="Y">diagnostic imaging</QualifierName><QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016273" MajorTopicYN="N">Occupational Exposure</DescriptorName><QualifierName UI="Q000009" MajorTopicYN="N">adverse effects</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName><QualifierName UI="Q000000981" MajorTopicYN="Y">diagnostic imaging</QualifierName><QualifierName UI="Q000635" MajorTopicYN="N">transmission</QualifierName><QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012189" MajorTopicYN="N">Retrospective Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014057" MajorTopicYN="N">Tomography, X-Ray Computed</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>8</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>8</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>8</Month><Day>25</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32791752</ArticleId><ArticleId IdType="doi">10.1097/MD.0000000000021396</ArticleId><ArticleId 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