CovidSeniorV1, Main, Exploration, bibRecordById, pubmed:32719039

Lung involvement in macrophage activation syndrome and severe COVID-19: results from a cross-sectional study to assess clinical, laboratory and artificial intelligence-radiological differences.

Identifieur interne : 000443 ( Main/Exploration ); précédent : 000442; suivant : 000444

Lung involvement in macrophage activation syndrome and severe COVID-19: results from a cross-sectional study to assess clinical, laboratory and artificial intelligence-radiological differences.

Auteurs : Piero Ruscitti [Italie] ; Federico Bruno [Italie] ; Onorina Berardicurti [Italie] ; Chiara Acanfora [Italie] ; Viktoriya Pavlych [Italie] ; Pierpaolo Palumbo [Italie] ; Alessandro Conforti [Italie] ; Francesco Carubbi [Italie] ; Ilenia Di Cola [Italie] ; Paola Di Benedetto [Italie] ; Paola Cipriani [Italie] ; Davide Grassi [Italie] ; Carlo Masciocchi [Italie] ; Annamaria Iagnocco [Oman] ; Antonio Barile [Italie] ; Roberto Giacomelli [Italie]

Source :

Annals of the rheumatic diseases [ 1468-2060 ] ; 2020.

RBID : pubmed:32719039

Descripteurs français

KwdFr :
- Adulte d'âge moyen (MeSH), Betacoronavirus (MeSH), Femelle (MeSH), Humains (MeSH), Infections à coronavirus (anatomopathologie), Infections à coronavirus (imagerie diagnostique), Infections à coronavirus (virologie), Intelligence artificielle (MeSH), Mâle (MeSH), Pandémies (MeSH), Pneumopathie virale (anatomopathologie), Pneumopathie virale (imagerie diagnostique), Pneumopathie virale (virologie), Poumon (anatomopathologie), Poumon (imagerie diagnostique), Poumon (virologie), Sujet âgé (MeSH), Syndrome d'activation macrophagique (anatomopathologie), Syndrome d'activation macrophagique (imagerie diagnostique), Tomodensitométrie (méthodes), Études rétrospectives (MeSH), Études transversales (MeSH).
MESH :
- anatomopathologie : Infections à coronavirus, Pneumopathie virale, Poumon, Syndrome d'activation macrophagique.
- imagerie diagnostique : Infections à coronavirus, Pneumopathie virale, Poumon, Syndrome d'activation macrophagique.
- méthodes : Tomodensitométrie.
- virologie : Infections à coronavirus, Pneumopathie virale, Poumon.
- Adulte d'âge moyen, Betacoronavirus, Femelle, Humains, Intelligence artificielle, Mâle, Pandémies, Sujet âgé, Études rétrospectives, Études transversales.

English descriptors

KwdEn :
- Aged (MeSH), Artificial Intelligence (MeSH), Betacoronavirus (MeSH), Coronavirus Infections (diagnostic imaging), Coronavirus Infections (pathology), Coronavirus Infections (virology), Cross-Sectional Studies (MeSH), Female (MeSH), Humans (MeSH), Lung (diagnostic imaging), Lung (pathology), Lung (virology), Macrophage Activation Syndrome (diagnostic imaging), Macrophage Activation Syndrome (pathology), Male (MeSH), Middle Aged (MeSH), Pandemics (MeSH), Pneumonia, Viral (diagnostic imaging), Pneumonia, Viral (pathology), Pneumonia, Viral (virology), Retrospective Studies (MeSH), Tomography, X-Ray Computed (methods).
MESH :
- diagnostic imaging : Coronavirus Infections, Lung, Macrophage Activation Syndrome, Pneumonia, Viral.
- methods : Tomography, X-Ray Computed.
- pathology : Coronavirus Infections, Lung, Macrophage Activation Syndrome, Pneumonia, Viral.
- virology : Coronavirus Infections, Lung, Pneumonia, Viral.
- Aged, Artificial Intelligence, Betacoronavirus, Cross-Sectional Studies, Female, Humans, Male, Middle Aged, Pandemics, Retrospective Studies.

Abstract

OBJECTIVES

To evaluate the clinical pictures, laboratory tests and imaging of patients with lung involvement, either from severe COVID-19 or macrophage activation syndrome (MAS), in order to assess how similar these two diseases are.

METHODS

The present work has been designed as a cross-sectional single-centre study to compare characteristics of patients with lung involvement either from MAS or severe COVID-19. Chest CT scans were assessed by using an artificial intelligence (AI)-based software.

RESULTS

Ten patients with MAS and 47 patients with severe COVID-19 with lung involvement were assessed. Although all patients showed fever and dyspnoea, patients with MAS were characterised by thrombocytopaenia, whereas patients with severe COVID-19 were characterised by lymphopaenia and neutrophilia. Higher values of H-score characterised patients with MAS when compared with severe COVID-19. AI-reconstructed images of chest CT scan showed that apical, basal, peripheral and bilateral distributions of ground-glass opacities (GGOs), as well as apical consolidations, were more represented in severe COVID-19 than in MAS. C reactive protein directly correlated with GGOs extension in both diseases. Furthermore, lymphopaenia inversely correlated with GGOs extension in severe COVID-19.

CONCLUSIONS

Our data could suggest laboratory and radiological differences between MAS and severe COVID-19, paving the way for further hypotheses to be investigated in future confirmatory studies.

DOI: 10.1136/annrheumdis-2020-218048
PubMed: 32719039
PubMed Central: PMC7456556

Affiliations:

Italie, Oman

Links toward previous steps (curation, corpus...)

to stream Main, to step Corpus: 000977
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Le document en format XML

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<author><name sortKey="Berardicurti, Onorina" sort="Berardicurti, Onorina" uniqKey="Berardicurti O" first="Onorina" last="Berardicurti">Onorina Berardicurti</name>
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<author><name sortKey="Acanfora, Chiara" sort="Acanfora, Chiara" uniqKey="Acanfora C" first="Chiara" last="Acanfora">Chiara Acanfora</name>
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<country xml:lang="fr">Italie</country>
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<author><name sortKey="Pavlych, Viktoriya" sort="Pavlych, Viktoriya" uniqKey="Pavlych V" first="Viktoriya" last="Pavlych">Viktoriya Pavlych</name>
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<country xml:lang="fr">Italie</country>
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<author><name sortKey="Palumbo, Pierpaolo" sort="Palumbo, Pierpaolo" uniqKey="Palumbo P" first="Pierpaolo" last="Palumbo">Pierpaolo Palumbo</name>
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<country xml:lang="fr">Italie</country>
<wicri:regionArea>Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo</wicri:regionArea>
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<author><name sortKey="Conforti, Alessandro" sort="Conforti, Alessandro" uniqKey="Conforti A" first="Alessandro" last="Conforti">Alessandro Conforti</name>
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<country xml:lang="fr">Italie</country>
<wicri:regionArea>Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo</wicri:regionArea>
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<author><name sortKey="Carubbi, Francesco" sort="Carubbi, Francesco" uniqKey="Carubbi F" first="Francesco" last="Carubbi">Francesco Carubbi</name>
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<country xml:lang="fr">Italie</country>
<wicri:regionArea>Department of Medicine, ASL 1 Avezzano Sulmona L'Aquila, L'Aquila, Abruzzo</wicri:regionArea>
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<author><name sortKey="Di Cola, Ilenia" sort="Di Cola, Ilenia" uniqKey="Di Cola I" first="Ilenia" last="Di Cola">Ilenia Di Cola</name>
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<wicri:regionArea>Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo</wicri:regionArea>
<wicri:noRegion>Abruzzo</wicri:noRegion>
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<author><name sortKey="Di Benedetto, Paola" sort="Di Benedetto, Paola" uniqKey="Di Benedetto P" first="Paola" last="Di Benedetto">Paola Di Benedetto</name>
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<country xml:lang="fr">Italie</country>
<wicri:regionArea>Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo</wicri:regionArea>
<wicri:noRegion>Abruzzo</wicri:noRegion>
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<author><name sortKey="Cipriani, Paola" sort="Cipriani, Paola" uniqKey="Cipriani P" first="Paola" last="Cipriani">Paola Cipriani</name>
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<wicri:regionArea>Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo</wicri:regionArea>
<wicri:noRegion>Abruzzo</wicri:noRegion>
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<author><name sortKey="Grassi, Davide" sort="Grassi, Davide" uniqKey="Grassi D" first="Davide" last="Grassi">Davide Grassi</name>
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<country xml:lang="fr">Italie</country>
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<author><name sortKey="Masciocchi, Carlo" sort="Masciocchi, Carlo" uniqKey="Masciocchi C" first="Carlo" last="Masciocchi">Carlo Masciocchi</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.</nlm:affiliation>
<country xml:lang="fr">Italie</country>
<wicri:regionArea>Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo</wicri:regionArea>
<wicri:noRegion>Abruzzo</wicri:noRegion>
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<author><name sortKey="Iagnocco, Annamaria" sort="Iagnocco, Annamaria" uniqKey="Iagnocco A" first="Annamaria" last="Iagnocco">Annamaria Iagnocco</name>
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<wicri:noRegion>Piemonte</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Barile, Antonio" sort="Barile, Antonio" uniqKey="Barile A" first="Antonio" last="Barile">Antonio Barile</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.</nlm:affiliation>
<country xml:lang="fr">Italie</country>
<wicri:regionArea>Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo</wicri:regionArea>
<wicri:noRegion>Abruzzo</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Giacomelli, Roberto" sort="Giacomelli, Roberto" uniqKey="Giacomelli R" first="Roberto" last="Giacomelli">Roberto Giacomelli</name>
<affiliation wicri:level="1"><nlm:affiliation>Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.</nlm:affiliation>
<country xml:lang="fr">Italie</country>
<wicri:regionArea>Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo</wicri:regionArea>
<wicri:noRegion>Abruzzo</wicri:noRegion>
</affiliation>
</author>
</analytic>
<series><title level="j">Annals of the rheumatic diseases</title>
<idno type="eISSN">1468-2060</idno>
<imprint><date when="2020" type="published">2020</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aged (MeSH)</term>
<term>Artificial Intelligence (MeSH)</term>
<term>Betacoronavirus (MeSH)</term>
<term>Coronavirus Infections (diagnostic imaging)</term>
<term>Coronavirus Infections (pathology)</term>
<term>Coronavirus Infections (virology)</term>
<term>Cross-Sectional Studies (MeSH)</term>
<term>Female (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Lung (diagnostic imaging)</term>
<term>Lung (pathology)</term>
<term>Lung (virology)</term>
<term>Macrophage Activation Syndrome (diagnostic imaging)</term>
<term>Macrophage Activation Syndrome (pathology)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Pandemics (MeSH)</term>
<term>Pneumonia, Viral (diagnostic imaging)</term>
<term>Pneumonia, Viral (pathology)</term>
<term>Pneumonia, Viral (virology)</term>
<term>Retrospective Studies (MeSH)</term>
<term>Tomography, X-Ray Computed (methods)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Adulte d'âge moyen (MeSH)</term>
<term>Betacoronavirus (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Infections à coronavirus (anatomopathologie)</term>
<term>Infections à coronavirus (imagerie diagnostique)</term>
<term>Infections à coronavirus (virologie)</term>
<term>Intelligence artificielle (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Pandémies (MeSH)</term>
<term>Pneumopathie virale (anatomopathologie)</term>
<term>Pneumopathie virale (imagerie diagnostique)</term>
<term>Pneumopathie virale (virologie)</term>
<term>Poumon (anatomopathologie)</term>
<term>Poumon (imagerie diagnostique)</term>
<term>Poumon (virologie)</term>
<term>Sujet âgé (MeSH)</term>
<term>Syndrome d'activation macrophagique (anatomopathologie)</term>
<term>Syndrome d'activation macrophagique (imagerie diagnostique)</term>
<term>Tomodensitométrie (méthodes)</term>
<term>Études rétrospectives (MeSH)</term>
<term>Études transversales (MeSH)</term>
</keywords>
<keywords scheme="MESH" qualifier="anatomopathologie" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
<term>Poumon</term>
<term>Syndrome d'activation macrophagique</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnostic imaging" xml:lang="en"><term>Coronavirus Infections</term>
<term>Lung</term>
<term>Macrophage Activation Syndrome</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="imagerie diagnostique" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
<term>Poumon</term>
<term>Syndrome d'activation macrophagique</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Tomography, X-Ray Computed</term>
</keywords>
<keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Tomodensitométrie</term>
</keywords>
<keywords scheme="MESH" qualifier="pathology" xml:lang="en"><term>Coronavirus Infections</term>
<term>Lung</term>
<term>Macrophage Activation Syndrome</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="virologie" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
<term>Poumon</term>
</keywords>
<keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Coronavirus Infections</term>
<term>Lung</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Aged</term>
<term>Artificial Intelligence</term>
<term>Betacoronavirus</term>
<term>Cross-Sectional Studies</term>
<term>Female</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Pandemics</term>
<term>Retrospective Studies</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Adulte d'âge moyen</term>
<term>Betacoronavirus</term>
<term>Femelle</term>
<term>Humains</term>
<term>Intelligence artificielle</term>
<term>Mâle</term>
<term>Pandémies</term>
<term>Sujet âgé</term>
<term>Études rétrospectives</term>
<term>Études transversales</term>
</keywords>
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<front><div type="abstract" xml:lang="en"><p><b>OBJECTIVES</b>
</p>
<p>To evaluate the clinical pictures, laboratory tests and imaging of patients with lung involvement, either from severe COVID-19 or macrophage activation syndrome (MAS), in order to assess how similar these two diseases are.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>The present work has been designed as a cross-sectional single-centre study to compare characteristics of patients with lung involvement either from MAS or severe COVID-19. Chest CT scans were assessed by using an artificial intelligence (AI)-based software.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>Ten patients with MAS and 47 patients with severe COVID-19 with lung involvement were assessed. Although all patients showed fever and dyspnoea, patients with MAS were characterised by thrombocytopaenia, whereas patients with severe COVID-19 were characterised by lymphopaenia and neutrophilia. Higher values of H-score characterised patients with MAS when compared with severe COVID-19. AI-reconstructed images of chest CT scan showed that apical, basal, peripheral and bilateral distributions of ground-glass opacities (GGOs), as well as apical consolidations, were more represented in severe COVID-19 than in MAS. C reactive protein directly correlated with GGOs extension in both diseases. Furthermore, lymphopaenia inversely correlated with GGOs extension in severe COVID-19.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b>
</p>
<p>Our data could suggest laboratory and radiological differences between MAS and severe COVID-19, paving the way for further hypotheses to be investigated in future confirmatory studies.</p>
</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32719039</PMID>
<DateCompleted><Year>2020</Year>
<Month>09</Month>
<Day>08</Day>
</DateCompleted>
<DateRevised><Year>2020</Year>
<Month>09</Month>
<Day>08</Day>
</DateRevised>
<Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1468-2060</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>79</Volume>
<Issue>9</Issue>
<PubDate><Year>2020</Year>
<Month>09</Month>
</PubDate>
</JournalIssue>
<Title>Annals of the rheumatic diseases</Title>
<ISOAbbreviation>Ann Rheum Dis</ISOAbbreviation>
</Journal>
<ArticleTitle>Lung involvement in macrophage activation syndrome and severe COVID-19: results from a cross-sectional study to assess clinical, laboratory and artificial intelligence-radiological differences.</ArticleTitle>
<Pagination><MedlinePgn>1152-1155</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1136/annrheumdis-2020-218048</ELocationID>
<Abstract><AbstractText Label="OBJECTIVES">To evaluate the clinical pictures, laboratory tests and imaging of patients with lung involvement, either from severe COVID-19 or macrophage activation syndrome (MAS), in order to assess how similar these two diseases are.</AbstractText>
<AbstractText Label="METHODS">The present work has been designed as a cross-sectional single-centre study to compare characteristics of patients with lung involvement either from MAS or severe COVID-19. Chest CT scans were assessed by using an artificial intelligence (AI)-based software.</AbstractText>
<AbstractText Label="RESULTS">Ten patients with MAS and 47 patients with severe COVID-19 with lung involvement were assessed. Although all patients showed fever and dyspnoea, patients with MAS were characterised by thrombocytopaenia, whereas patients with severe COVID-19 were characterised by lymphopaenia and neutrophilia. Higher values of H-score characterised patients with MAS when compared with severe COVID-19. AI-reconstructed images of chest CT scan showed that apical, basal, peripheral and bilateral distributions of ground-glass opacities (GGOs), as well as apical consolidations, were more represented in severe COVID-19 than in MAS. C reactive protein directly correlated with GGOs extension in both diseases. Furthermore, lymphopaenia inversely correlated with GGOs extension in severe COVID-19.</AbstractText>
<AbstractText Label="CONCLUSIONS">Our data could suggest laboratory and radiological differences between MAS and severe COVID-19, paving the way for further hypotheses to be investigated in future confirmatory studies.</AbstractText>
<CopyrightInformation>© Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y" EqualContrib="Y"><LastName>Ruscitti</LastName>
<ForeName>Piero</ForeName>
<Initials>P</Initials>
<AffiliationInfo><Affiliation>Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y" EqualContrib="Y"><LastName>Bruno</LastName>
<ForeName>Federico</ForeName>
<Initials>F</Initials>
<AffiliationInfo><Affiliation>Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Berardicurti</LastName>
<ForeName>Onorina</ForeName>
<Initials>O</Initials>
<Identifier Source="ORCID">0000-0002-2808-1581</Identifier>
<AffiliationInfo><Affiliation>Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Acanfora</LastName>
<ForeName>Chiara</ForeName>
<Initials>C</Initials>
<AffiliationInfo><Affiliation>Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Pavlych</LastName>
<ForeName>Viktoriya</ForeName>
<Initials>V</Initials>
<AffiliationInfo><Affiliation>Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Palumbo</LastName>
<ForeName>Pierpaolo</ForeName>
<Initials>P</Initials>
<AffiliationInfo><Affiliation>Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Conforti</LastName>
<ForeName>Alessandro</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Carubbi</LastName>
<ForeName>Francesco</ForeName>
<Initials>F</Initials>
<Identifier Source="ORCID">0000-0003-1958-5136</Identifier>
<AffiliationInfo><Affiliation>Department of Medicine, ASL 1 Avezzano Sulmona L'Aquila, L'Aquila, Abruzzo, Italy.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Di Cola</LastName>
<ForeName>Ilenia</ForeName>
<Initials>I</Initials>
<AffiliationInfo><Affiliation>Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Di Benedetto</LastName>
<ForeName>Paola</ForeName>
<Initials>P</Initials>
<Identifier Source="ORCID">0000-0003-2927-8703</Identifier>
<AffiliationInfo><Affiliation>Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Cipriani</LastName>
<ForeName>Paola</ForeName>
<Initials>P</Initials>
<AffiliationInfo><Affiliation>Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Grassi</LastName>
<ForeName>Davide</ForeName>
<Initials>D</Initials>
<AffiliationInfo><Affiliation>Department of Life, Health, and Environmental Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Masciocchi</LastName>
<ForeName>Carlo</ForeName>
<Initials>C</Initials>
<AffiliationInfo><Affiliation>Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Iagnocco</LastName>
<ForeName>Annamaria</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>Dipartimento Scienze Cliniche e Biologiche, Università degli Studi di Torino, Torino, Piemonte, Italy annamaria.iagnocco1@gmail.com.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y" EqualContrib="Y"><LastName>Barile</LastName>
<ForeName>Antonio</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y" EqualContrib="Y"><LastName>Giacomelli</LastName>
<ForeName>Roberto</ForeName>
<Initials>R</Initials>
<Identifier Source="ORCID">0000-0003-0670-9638</Identifier>
<AffiliationInfo><Affiliation>Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D003160">Comparative Study</PublicationType>
<PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2020</Year>
<Month>07</Month>
<Day>21</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>England</Country>
<MedlineTA>Ann Rheum Dis</MedlineTA>
<NlmUniqueID>0372355</NlmUniqueID>
<ISSNLinking>0003-4967</ISSNLinking>
</MedlineJournalInfo>
<SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName>
<SupplMeshName Type="Organism" UI="C000656484">severe acute respiratory syndrome coronavirus 2</SupplMeshName>
</SupplMeshList>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D001185" MajorTopicYN="N">Artificial Intelligence</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="Y">Betacoronavirus</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName>
<QualifierName UI="Q000000981" MajorTopicYN="Y">diagnostic imaging</QualifierName>
<QualifierName UI="Q000473" MajorTopicYN="N">pathology</QualifierName>
<QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D003430" MajorTopicYN="N">Cross-Sectional Studies</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008168" MajorTopicYN="N">Lung</DescriptorName>
<QualifierName UI="Q000000981" MajorTopicYN="N">diagnostic imaging</QualifierName>
<QualifierName UI="Q000473" MajorTopicYN="N">pathology</QualifierName>
<QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D055501" MajorTopicYN="N">Macrophage Activation Syndrome</DescriptorName>
<QualifierName UI="Q000000981" MajorTopicYN="Y">diagnostic imaging</QualifierName>
<QualifierName UI="Q000473" MajorTopicYN="N">pathology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName>
</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="Q000473" MajorTopicYN="N">pathology</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>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">arthritis, juvenile</Keyword>
<Keyword MajorTopicYN="Y">inflammation</Keyword>
<Keyword MajorTopicYN="Y">still's disease, adult-onset</Keyword>
</KeywordList>
<CoiStatement>Competing interests: None declared.</CoiStatement>
</MedlineCitation>
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<Month>05</Month>
<Day>19</Day>
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<Month>07</Month>
<Day>08</Day>
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<Month>07</Month>
<Day>09</Day>
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<affiliations><list><country><li>Italie</li>
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<tree><country name="Italie"><noRegion><name sortKey="Ruscitti, Piero" sort="Ruscitti, Piero" uniqKey="Ruscitti P" first="Piero" last="Ruscitti">Piero Ruscitti</name>
</noRegion>
<name sortKey="Acanfora, Chiara" sort="Acanfora, Chiara" uniqKey="Acanfora C" first="Chiara" last="Acanfora">Chiara Acanfora</name>
<name sortKey="Barile, Antonio" sort="Barile, Antonio" uniqKey="Barile A" first="Antonio" last="Barile">Antonio Barile</name>
<name sortKey="Berardicurti, Onorina" sort="Berardicurti, Onorina" uniqKey="Berardicurti O" first="Onorina" last="Berardicurti">Onorina Berardicurti</name>
<name sortKey="Bruno, Federico" sort="Bruno, Federico" uniqKey="Bruno F" first="Federico" last="Bruno">Federico Bruno</name>
<name sortKey="Carubbi, Francesco" sort="Carubbi, Francesco" uniqKey="Carubbi F" first="Francesco" last="Carubbi">Francesco Carubbi</name>
<name sortKey="Cipriani, Paola" sort="Cipriani, Paola" uniqKey="Cipriani P" first="Paola" last="Cipriani">Paola Cipriani</name>
<name sortKey="Conforti, Alessandro" sort="Conforti, Alessandro" uniqKey="Conforti A" first="Alessandro" last="Conforti">Alessandro Conforti</name>
<name sortKey="Di Benedetto, Paola" sort="Di Benedetto, Paola" uniqKey="Di Benedetto P" first="Paola" last="Di Benedetto">Paola Di Benedetto</name>
<name sortKey="Di Cola, Ilenia" sort="Di Cola, Ilenia" uniqKey="Di Cola I" first="Ilenia" last="Di Cola">Ilenia Di Cola</name>
<name sortKey="Giacomelli, Roberto" sort="Giacomelli, Roberto" uniqKey="Giacomelli R" first="Roberto" last="Giacomelli">Roberto Giacomelli</name>
<name sortKey="Grassi, Davide" sort="Grassi, Davide" uniqKey="Grassi D" first="Davide" last="Grassi">Davide Grassi</name>
<name sortKey="Masciocchi, Carlo" sort="Masciocchi, Carlo" uniqKey="Masciocchi C" first="Carlo" last="Masciocchi">Carlo Masciocchi</name>
<name sortKey="Palumbo, Pierpaolo" sort="Palumbo, Pierpaolo" uniqKey="Palumbo P" first="Pierpaolo" last="Palumbo">Pierpaolo Palumbo</name>
<name sortKey="Pavlych, Viktoriya" sort="Pavlych, Viktoriya" uniqKey="Pavlych V" first="Viktoriya" last="Pavlych">Viktoriya Pavlych</name>
</country>
<country name="Oman"><noRegion><name sortKey="Iagnocco, Annamaria" sort="Iagnocco, Annamaria" uniqKey="Iagnocco A" first="Annamaria" last="Iagnocco">Annamaria Iagnocco</name>
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Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/CovidSeniorV1/Data/Main/Exploration

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000443 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000443 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    CovidSeniorV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     pubmed:32719039
   |texte=   Lung involvement in macrophage activation syndrome and severe COVID-19: results from a cross-sectional study to assess clinical, laboratory and artificial intelligence-radiological differences.
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i   -Sk "pubmed:32719039" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd   \
       | NlmPubMed2Wicri -a CovidSeniorV1

This area was generated with Dilib version V0.6.37.
Data generation: Thu Oct 15 09:49:45 2020. Site generation: Wed Jan 27 17:10:23 2021

	Serveur d'exploration sur la COVID chez les séniors
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.

Serveur d'exploration sur la COVID chez les séniors

Lung involvement in macrophage activation syndrome and severe COVID-19: results from a cross-sectional study to assess clinical, laboratory and artificial intelligence-radiological differences.

Lung involvement in macrophage activation syndrome and severe COVID-19: results from a cross-sectional study to assess clinical, laboratory and artificial intelligence-radiological differences.

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English descriptors

Abstract

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Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki