Monitoring bronchoalveolar lavage with electrical impedance tomography: first experience in a patient with COVID-19.
Identifieur interne : 000423 ( Main/Exploration ); précédent : 000422; suivant : 000424Monitoring bronchoalveolar lavage with electrical impedance tomography: first experience in a patient with COVID-19.
Auteurs : Yingyun Fu [République populaire de Chine] ; Rongrong Zou ; Shouhong Wang ; Junmin Wen ; Lei Rong ; Ming Tang ; Baojun Yu ; Fulan Cen ; Zhanqi Zhao ; Inéz Frerichs ; Andy Adler ; Yingxia Liu ; Lei LiuSource :
- Physiological measurement [ 1361-6579 ] ; 2020.
Descripteurs français
- KwdFr :
- Betacoronavirus (MeSH), Humains (MeSH), Impédance électrique (usage thérapeutique), Infections à coronavirus (complications), Infections à coronavirus (imagerie diagnostique), Infections à coronavirus (thérapie), Lavage bronchoalvéolaire (méthodes), Monitorage physiologique (méthodes), Mâle (MeSH), Pandémies (MeSH), Pneumopathie virale (complications), Pneumopathie virale (imagerie diagnostique), Pneumopathie virale (thérapie), Sujet âgé (MeSH), Syndrome de détresse respiratoire de l'adulte (imagerie diagnostique), Syndrome de détresse respiratoire de l'adulte (thérapie), Syndrome de détresse respiratoire de l'adulte (étiologie), Tomographie (méthodes), Ventilation artificielle (méthodes).
- MESH :
- imagerie diagnostique : Infections à coronavirus, Pneumopathie virale, Syndrome de détresse respiratoire de l'adulte.
- méthodes : Lavage bronchoalvéolaire, Monitorage physiologique, Tomographie, Ventilation artificielle.
- thérapie : Infections à coronavirus, Pneumopathie virale, Syndrome de détresse respiratoire de l'adulte.
- usage thérapeutique : Impédance électrique.
- étiologie : Syndrome de détresse respiratoire de l'adulte.
- complications : Betacoronavirus, Humains, Infections à coronavirus, Mâle, Pandémies, Pneumopathie virale, Sujet âgé.
English descriptors
- KwdEn :
- Aged (MeSH), Betacoronavirus (MeSH), Bronchoalveolar Lavage (methods), Coronavirus Infections (complications), Coronavirus Infections (diagnostic imaging), Coronavirus Infections (therapy), Electric Impedance (therapeutic use), Humans (MeSH), Male (MeSH), Monitoring, Physiologic (methods), Pandemics (MeSH), Pneumonia, Viral (complications), Pneumonia, Viral (diagnostic imaging), Pneumonia, Viral (therapy), Respiration, Artificial (methods), Respiratory Distress Syndrome, Adult (diagnostic imaging), Respiratory Distress Syndrome, Adult (etiology), Respiratory Distress Syndrome, Adult (therapy), Tomography (methods).
- MESH :
- complications : Coronavirus Infections, Pneumonia, Viral.
- diagnostic imaging : Coronavirus Infections, Pneumonia, Viral, Respiratory Distress Syndrome, Adult.
- etiology : Respiratory Distress Syndrome, Adult.
- methods : Bronchoalveolar Lavage, Monitoring, Physiologic, Respiration, Artificial, Tomography.
- therapeutic use : Electric Impedance.
- therapy : Coronavirus Infections, Pneumonia, Viral, Respiratory Distress Syndrome, Adult.
- Aged, Betacoronavirus, Humans, Male, Pandemics.
Abstract
OBJECTIVE
Patients with the novel coronavirus disease (COVID-19) often have airway secretions that severely compromise ventilation. This study investigates electrical impedance tomography (EIT) monitoring of a therapeutic bronchoalveolar lavage (BAL) in a patient with COVID-19.
APPROACH
A patient with COVID-19 developed acute respiratory distress syndrome requiring mechanical ventilation. He received regional BAL to remove mucus in the small airways (20 ml × 5). Regional ventilation changes before BAL, 30 min after and in the following days, were monitored with EIT.
MAIN RESULTS
Regional ventilation worsened shortly after BAL and improved in the following days. The improvement of the oxygenation did not exactly match the ventilation improvement, which indicated a possible ventilation/perfusion mismatch.
SIGNIFICANCE
Therapeutic BAL might improve regional ventilation for COVID-19 and EIT could be a useful tool at the bedside to monitor the ventilation treatment of COVID-19.
DOI: 10.1088/1361-6579/abab1b
PubMed: 32736369
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Authors contributed equally to this study.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Southern University of Science and Technology, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen</wicri:regionArea><placeName><settlement type="city">Shenzhen</settlement><region type="province">Guangdong</region></placeName></affiliation></author><author><name sortKey="Zou, Rongrong" sort="Zou, Rongrong" uniqKey="Zou R" first="Rongrong" last="Zou">Rongrong Zou</name></author><author><name sortKey="Wang, Shouhong" sort="Wang, Shouhong" uniqKey="Wang S" first="Shouhong" last="Wang">Shouhong Wang</name></author><author><name sortKey="Wen, Junmin" sort="Wen, Junmin" uniqKey="Wen J" first="Junmin" last="Wen">Junmin Wen</name></author><author><name sortKey="Rong, Lei" sort="Rong, Lei" uniqKey="Rong L" first="Lei" last="Rong">Lei Rong</name></author><author><name sortKey="Tang, Ming" sort="Tang, Ming" uniqKey="Tang M" first="Ming" last="Tang">Ming Tang</name></author><author><name sortKey="Yu, Baojun" sort="Yu, Baojun" uniqKey="Yu B" first="Baojun" last="Yu">Baojun Yu</name></author><author><name sortKey="Cen, Fulan" sort="Cen, Fulan" uniqKey="Cen F" first="Fulan" last="Cen">Fulan Cen</name></author><author><name sortKey="Zhao, Zhanqi" sort="Zhao, Zhanqi" uniqKey="Zhao Z" first="Zhanqi" last="Zhao">Zhanqi Zhao</name></author><author><name sortKey="Frerichs, Inez" sort="Frerichs, Inez" uniqKey="Frerichs I" first="Inéz" last="Frerichs">Inéz Frerichs</name></author><author><name sortKey="Adler, Andy" sort="Adler, Andy" uniqKey="Adler A" first="Andy" last="Adler">Andy Adler</name></author><author><name sortKey="Liu, Yingxia" sort="Liu, Yingxia" uniqKey="Liu Y" first="Yingxia" last="Liu">Yingxia Liu</name></author><author><name sortKey="Liu, Lei" sort="Liu, Lei" uniqKey="Liu L" first="Lei" last="Liu">Lei Liu</name></author></analytic><series><title level="j">Physiological measurement</title><idno type="eISSN">1361-6579</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>Betacoronavirus (MeSH)</term><term>Bronchoalveolar Lavage (methods)</term><term>Coronavirus Infections (complications)</term><term>Coronavirus Infections (diagnostic imaging)</term><term>Coronavirus Infections (therapy)</term><term>Electric Impedance (therapeutic use)</term><term>Humans (MeSH)</term><term>Male (MeSH)</term><term>Monitoring, Physiologic (methods)</term><term>Pandemics (MeSH)</term><term>Pneumonia, Viral (complications)</term><term>Pneumonia, Viral (diagnostic imaging)</term><term>Pneumonia, Viral (therapy)</term><term>Respiration, Artificial (methods)</term><term>Respiratory Distress Syndrome, Adult (diagnostic imaging)</term><term>Respiratory Distress Syndrome, Adult (etiology)</term><term>Respiratory Distress Syndrome, Adult (therapy)</term><term>Tomography (methods)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Betacoronavirus (MeSH)</term><term>Humains (MeSH)</term><term>Impédance électrique (usage thérapeutique)</term><term>Infections à coronavirus (complications)</term><term>Infections à coronavirus (imagerie diagnostique)</term><term>Infections à coronavirus (thérapie)</term><term>Lavage bronchoalvéolaire (méthodes)</term><term>Monitorage physiologique (méthodes)</term><term>Mâle (MeSH)</term><term>Pandémies (MeSH)</term><term>Pneumopathie virale (complications)</term><term>Pneumopathie virale (imagerie diagnostique)</term><term>Pneumopathie virale (thérapie)</term><term>Sujet âgé (MeSH)</term><term>Syndrome de détresse respiratoire de l'adulte (imagerie diagnostique)</term><term>Syndrome de détresse respiratoire de l'adulte (thérapie)</term><term>Syndrome de détresse respiratoire de l'adulte (étiologie)</term><term>Tomographie (méthodes)</term><term>Ventilation artificielle (méthodes)</term></keywords><keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="diagnostic imaging" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term><term>Respiratory Distress Syndrome, Adult</term></keywords><keywords scheme="MESH" qualifier="etiology" xml:lang="en"><term>Respiratory Distress Syndrome, Adult</term></keywords><keywords scheme="MESH" qualifier="imagerie diagnostique" xml:lang="fr"><term>Infections à coronavirus</term><term>Pneumopathie virale</term><term>Syndrome de détresse respiratoire de l'adulte</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Bronchoalveolar Lavage</term><term>Monitoring, Physiologic</term><term>Respiration, Artificial</term><term>Tomography</term></keywords><keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Lavage bronchoalvéolaire</term><term>Monitorage physiologique</term><term>Tomographie</term><term>Ventilation artificielle</term></keywords><keywords scheme="MESH" qualifier="therapeutic use" xml:lang="en"><term>Electric Impedance</term></keywords><keywords scheme="MESH" qualifier="therapy" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term><term>Respiratory Distress Syndrome, Adult</term></keywords><keywords scheme="MESH" qualifier="thérapie" xml:lang="fr"><term>Infections à coronavirus</term><term>Pneumopathie virale</term><term>Syndrome de détresse respiratoire de l'adulte</term></keywords><keywords scheme="MESH" qualifier="usage thérapeutique" xml:lang="fr"><term>Impédance électrique</term></keywords><keywords scheme="MESH" qualifier="étiologie" xml:lang="fr"><term>Syndrome de détresse respiratoire de l'adulte</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Aged</term><term>Betacoronavirus</term><term>Humans</term><term>Male</term><term>Pandemics</term></keywords><keywords scheme="MESH" qualifier="complications" xml:lang="fr"><term>Betacoronavirus</term><term>Humains</term><term>Infections à coronavirus</term><term>Mâle</term><term>Pandémies</term><term>Pneumopathie virale</term><term>Sujet âgé</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>OBJECTIVE</b></p><p>Patients with the novel coronavirus disease (COVID-19) often have airway secretions that severely compromise ventilation. This study investigates electrical impedance tomography (EIT) monitoring of a therapeutic bronchoalveolar lavage (BAL) in a patient with COVID-19.</p></div><div type="abstract" xml:lang="en"><p><b>APPROACH</b></p><p>A patient with COVID-19 developed acute respiratory distress syndrome requiring mechanical ventilation. He received regional BAL to remove mucus in the small airways (20 ml × 5). Regional ventilation changes before BAL, 30 min after and in the following days, were monitored with EIT.</p></div><div type="abstract" xml:lang="en"><p><b>MAIN RESULTS</b></p><p>Regional ventilation worsened shortly after BAL and improved in the following days. The improvement of the oxygenation did not exactly match the ventilation improvement, which indicated a possible ventilation/perfusion mismatch.</p></div><div type="abstract" xml:lang="en"><p><b>SIGNIFICANCE</b></p><p>Therapeutic BAL might improve regional ventilation for COVID-19 and EIT could be a useful tool at the bedside to monitor the ventilation treatment of COVID-19.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32736369</PMID><DateCompleted><Year>2020</Year><Month>09</Month><Day>29</Day></DateCompleted><DateRevised><Year>2020</Year><Month>09</Month><Day>29</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1361-6579</ISSN><JournalIssue CitedMedium="Internet"><Volume>41</Volume><Issue>8</Issue><PubDate><Year>2020</Year><Month>09</Month><Day>10</Day></PubDate></JournalIssue><Title>Physiological measurement</Title><ISOAbbreviation>Physiol Meas</ISOAbbreviation></Journal><ArticleTitle>Monitoring bronchoalveolar lavage with electrical impedance tomography: first experience in a patient with COVID-19.</ArticleTitle><Pagination><MedlinePgn>085008</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1088/1361-6579/abab1b</ELocationID><Abstract><AbstractText Label="OBJECTIVE">Patients with the novel coronavirus disease (COVID-19) often have airway secretions that severely compromise ventilation. This study investigates electrical impedance tomography (EIT) monitoring of a therapeutic bronchoalveolar lavage (BAL) in a patient with COVID-19.</AbstractText><AbstractText Label="APPROACH">A patient with COVID-19 developed acute respiratory distress syndrome requiring mechanical ventilation. He received regional BAL to remove mucus in the small airways (20 ml × 5). Regional ventilation changes before BAL, 30 min after and in the following days, were monitored with EIT.</AbstractText><AbstractText Label="MAIN RESULTS">Regional ventilation worsened shortly after BAL and improved in the following days. The improvement of the oxygenation did not exactly match the ventilation improvement, which indicated a possible ventilation/perfusion mismatch.</AbstractText><AbstractText Label="SIGNIFICANCE">Therapeutic BAL might improve regional ventilation for COVID-19 and EIT could be a useful tool at the bedside to monitor the ventilation treatment of COVID-19.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Fu</LastName><ForeName>Yingyun</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>Department of Pulmonary and Critical Care Medicine, The First Affiliated Hospital of Southern University of Science and Technology, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, People's Republic of China. Authors contributed equally to this study.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zou</LastName><ForeName>Rongrong</ForeName><Initials>R</Initials></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Shouhong</ForeName><Initials>S</Initials></Author><Author ValidYN="Y"><LastName>Wen</LastName><ForeName>Junmin</ForeName><Initials>J</Initials></Author><Author ValidYN="Y"><LastName>Rong</LastName><ForeName>Lei</ForeName><Initials>L</Initials></Author><Author ValidYN="Y"><LastName>Tang</LastName><ForeName>Ming</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Yu</LastName><ForeName>Baojun</ForeName><Initials>B</Initials></Author><Author ValidYN="Y"><LastName>Cen</LastName><ForeName>Fulan</ForeName><Initials>F</Initials></Author><Author ValidYN="Y"><LastName>Zhao</LastName><ForeName>Zhanqi</ForeName><Initials>Z</Initials></Author><Author ValidYN="Y"><LastName>Frerichs</LastName><ForeName>Inéz</ForeName><Initials>I</Initials></Author><Author ValidYN="Y"><LastName>Adler</LastName><ForeName>Andy</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Liu</LastName><ForeName>Yingxia</ForeName><Initials>Y</Initials></Author><Author ValidYN="Y"><LastName>Liu</LastName><ForeName>Lei</ForeName><Initials>L</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D002363">Case Reports</PublicationType><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>09</Month><Day>10</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Physiol Meas</MedlineTA><NlmUniqueID>9306921</NlmUniqueID><ISSNLinking>0967-3334</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="D000073640" MajorTopicYN="Y">Betacoronavirus</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018893" MajorTopicYN="N">Bronchoalveolar Lavage</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000150" MajorTopicYN="N">complications</QualifierName><QualifierName UI="Q000000981" MajorTopicYN="N">diagnostic imaging</QualifierName><QualifierName UI="Q000628" MajorTopicYN="Y">therapy</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D017097" MajorTopicYN="N">Electric Impedance</DescriptorName><QualifierName UI="Q000627" MajorTopicYN="Y">therapeutic use</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008991" MajorTopicYN="N">Monitoring, Physiologic</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName><QualifierName UI="Q000150" MajorTopicYN="N">complications</QualifierName><QualifierName UI="Q000000981" MajorTopicYN="N">diagnostic imaging</QualifierName><QualifierName UI="Q000628" MajorTopicYN="Y">therapy</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012121" MajorTopicYN="N">Respiration, Artificial</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012128" MajorTopicYN="N">Respiratory Distress Syndrome, Adult</DescriptorName><QualifierName UI="Q000000981" MajorTopicYN="N">diagnostic imaging</QualifierName><QualifierName UI="Q000209" MajorTopicYN="N">etiology</QualifierName><QualifierName UI="Q000628" MajorTopicYN="N">therapy</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D014054" MajorTopicYN="N">Tomography</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>8</Month><Day>1</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>9</Month><Day>30</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>8</Month><Day>1</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32736369</ArticleId><ArticleId IdType="doi">10.1088/1361-6579/abab1b</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>République populaire de Chine</li></country><region><li>Guangdong</li></region><settlement><li>Shenzhen</li></settlement></list><tree><noCountry><name sortKey="Adler, Andy" sort="Adler, Andy" uniqKey="Adler A" first="Andy" last="Adler">Andy Adler</name><name sortKey="Cen, Fulan" sort="Cen, Fulan" uniqKey="Cen F" first="Fulan" last="Cen">Fulan Cen</name><name sortKey="Frerichs, Inez" sort="Frerichs, Inez" uniqKey="Frerichs I" first="Inéz" last="Frerichs">Inéz Frerichs</name><name sortKey="Liu, Lei" sort="Liu, Lei" uniqKey="Liu L" first="Lei" last="Liu">Lei Liu</name><name sortKey="Liu, Yingxia" sort="Liu, Yingxia" uniqKey="Liu Y" first="Yingxia" last="Liu">Yingxia Liu</name><name sortKey="Rong, Lei" sort="Rong, Lei" uniqKey="Rong L" first="Lei" last="Rong">Lei Rong</name><name sortKey="Tang, Ming" sort="Tang, Ming" uniqKey="Tang M" first="Ming" last="Tang">Ming Tang</name><name sortKey="Wang, Shouhong" sort="Wang, Shouhong" uniqKey="Wang S" first="Shouhong" last="Wang">Shouhong Wang</name><name sortKey="Wen, Junmin" sort="Wen, Junmin" uniqKey="Wen J" first="Junmin" last="Wen">Junmin Wen</name><name sortKey="Yu, Baojun" sort="Yu, Baojun" uniqKey="Yu B" first="Baojun" last="Yu">Baojun Yu</name><name sortKey="Zhao, Zhanqi" sort="Zhao, Zhanqi" uniqKey="Zhao Z" first="Zhanqi" last="Zhao">Zhanqi Zhao</name><name sortKey="Zou, Rongrong" sort="Zou, Rongrong" uniqKey="Zou R" first="Rongrong" last="Zou">Rongrong Zou</name></noCountry><country name="République populaire de Chine"><region name="Guangdong"><name sortKey="Fu, Yingyun" sort="Fu, Yingyun" uniqKey="Fu Y" first="Yingyun" last="Fu">Yingyun 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