Prognostic Value of Lung Ultrasonography in Older Nursing Home Residents Affected by COVID-19.
Identifieur interne : 000352 ( Main/Corpus ); précédent : 000351; suivant : 000353Prognostic Value of Lung Ultrasonography in Older Nursing Home Residents Affected by COVID-19.
Auteurs : Nicola Veronese ; Luca Gino Sbrogi ; Roberto Valle ; Laura Marin ; Elena Boscolo Fiore ; Andrea TiozzoSource :
- Journal of the American Medical Directors Association [ 1538-9375 ] ; 2020.
English descriptors
- KwdEn :
- Aged (MeSH), Aged, 80 and over (MeSH), Betacoronavirus (MeSH), Clinical Laboratory Techniques (MeSH), Coronavirus Infections (diagnosis), Coronavirus Infections (diagnostic imaging), Female (MeSH), Humans (MeSH), Lung (diagnostic imaging), Male (MeSH), Nursing Homes (organization & administration), Pandemics (MeSH), Pneumonia, Viral (diagnostic imaging), Retrospective Studies (MeSH), Ultrasonography (MeSH).
- MESH :
- diagnosis : Coronavirus Infections.
- diagnostic imaging : Coronavirus Infections, Lung, Pneumonia, Viral.
- organization & administration : Nursing Homes.
- Aged, Aged, 80 and over, Betacoronavirus, Clinical Laboratory Techniques, Female, Humans, Male, Pandemics, Retrospective Studies, Ultrasonography.
Abstract
OBJECTIVES
Lung ultrasonographic (LUS) imaging may play an important role in the management of patients with COVID-19-associated lung injury, particularly in some special populations. However, data regarding the prognostic role of the LUS in nursing home residents, one of the populations most affected by COVID-19, are not still available.
DESIGN
Retrospective.
SETTINGS AND PARTICIPANTS
Nursing home residents affected by COVID-19 were followed up with an LUS from April 8 to May 14, 2020, in Chioggia, Venice.
METHODS
COVID-19 was diagnosed through a nasopharyngeal swab. LUS results were scored using a 12-zone method. For each of the 12 zones (2 posterior, 2 anterior, 2 lateral, for both left and right lungs), the possible score ranged from 0 to 3 (1 = presence of B lines, separated, with <50% of space from the pleural line; 2 = presence of B lines, separated, with >50% of space from the pleural line; 3 = lung thickening with tissuelike aspect). The total score ranged from 0 to 36. Mortality was assessed using administrative data. Data regarding accuracy (and related parameters) were reported.
RESULTS
Among 175 nursing home residents, 48 (mean age: 84.1 years; mainly female) were affected by COVID-19. Twelve died during the follow-up period. The mean LUS score was 3. The area under the curve of LUS in predicting mortality was 0.603 [95% confidence interval (CI): 0.419-0.787], and it increased to 0.725 (95% CI: 0.41-0.99) after including follow-up LUS controls. Taking an LUS score ≥4 as exposure variable and mortality as outcome, the sensitivity was 58.33% and specificity 63.89%, with a positive likelihood ratio of 1.62 and a negative of 0.65.
CONCLUSIONS AND IMPLICATIONS
LUS is able to significantly predict mortality in nursing home residents affected by COVID-19, suggesting that this simple tool can be routinely used in this setting instead of more invasive techniques available only in hospital.
DOI: 10.1016/j.jamda.2020.07.034
PubMed: 32883596
PubMed Central: PMC7388855
Links to Exploration step
pubmed:32883596Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Prognostic Value of Lung Ultrasonography in Older Nursing Home Residents Affected by COVID-19.</title><author><name sortKey="Veronese, Nicola" sort="Veronese, Nicola" uniqKey="Veronese N" first="Nicola" last="Veronese">Nicola Veronese</name><affiliation><nlm:affiliation>Primary Care Department, Azienda ULSS 3 (Unità Locale Socio Sanitaria) "Serenissima", Veneto Region, Italy. Electronic address: ilmannato@gmail.com.</nlm:affiliation></affiliation></author><author><name sortKey="Sbrogi, Luca Gino" sort="Sbrogi, Luca Gino" uniqKey="Sbrogi L" first="Luca Gino" last="Sbrogi">Luca Gino Sbrogi</name><affiliation><nlm:affiliation>Department of Prevention, Azienda ULSS 3 (Unità Locale Socio Sanitaria) "Serenissima", Veneto Region, Italy.</nlm:affiliation></affiliation></author><author><name sortKey="Valle, Roberto" sort="Valle, Roberto" uniqKey="Valle R" first="Roberto" last="Valle">Roberto Valle</name><affiliation><nlm:affiliation>Cardiology Department, Ospedale Madonna della Navicella, Azienda ULSS 3 (Unità Locale Socio Sanitaria) "Serenissima", Veneto Region, Italy.</nlm:affiliation></affiliation></author><author><name sortKey="Marin, Laura" sort="Marin, Laura" uniqKey="Marin L" first="Laura" last="Marin">Laura Marin</name><affiliation><nlm:affiliation>Primary Care Department, Azienda ULSS 3 (Unità Locale Socio Sanitaria) "Serenissima", Veneto Region, Italy.</nlm:affiliation></affiliation></author><author><name sortKey="Boscolo Fiore, Elena" sort="Boscolo Fiore, Elena" uniqKey="Boscolo Fiore E" first="Elena" last="Boscolo Fiore">Elena Boscolo Fiore</name><affiliation><nlm:affiliation>"Felice Fortunato Casson" Nursing Home, Chioggia, Venice, Italy.</nlm:affiliation></affiliation></author><author><name sortKey="Tiozzo, Andrea" sort="Tiozzo, Andrea" uniqKey="Tiozzo A" first="Andrea" last="Tiozzo">Andrea Tiozzo</name><affiliation><nlm:affiliation>Emergency Department, Ospedale Madonna della Navicella, Azienda ULSS 3 (Unità Locale Socio Sanitaria) "Serenissima", Primary Care Department, Veneto Region, Italy.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:32883596</idno><idno type="pmid">32883596</idno><idno type="doi">10.1016/j.jamda.2020.07.034</idno><idno type="pmc">PMC7388855</idno><idno type="wicri:Area/Main/Corpus">000352</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000352</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Prognostic Value of Lung Ultrasonography in Older Nursing Home Residents Affected by COVID-19.</title><author><name sortKey="Veronese, Nicola" sort="Veronese, Nicola" uniqKey="Veronese N" first="Nicola" last="Veronese">Nicola Veronese</name><affiliation><nlm:affiliation>Primary Care Department, Azienda ULSS 3 (Unità Locale Socio Sanitaria) "Serenissima", Veneto Region, Italy. Electronic address: ilmannato@gmail.com.</nlm:affiliation></affiliation></author><author><name sortKey="Sbrogi, Luca Gino" sort="Sbrogi, Luca Gino" uniqKey="Sbrogi L" first="Luca Gino" last="Sbrogi">Luca Gino Sbrogi</name><affiliation><nlm:affiliation>Department of Prevention, Azienda ULSS 3 (Unità Locale Socio Sanitaria) "Serenissima", Veneto Region, Italy.</nlm:affiliation></affiliation></author><author><name sortKey="Valle, Roberto" sort="Valle, Roberto" uniqKey="Valle R" first="Roberto" last="Valle">Roberto Valle</name><affiliation><nlm:affiliation>Cardiology Department, Ospedale Madonna della Navicella, Azienda ULSS 3 (Unità Locale Socio Sanitaria) "Serenissima", Veneto Region, Italy.</nlm:affiliation></affiliation></author><author><name sortKey="Marin, Laura" sort="Marin, Laura" uniqKey="Marin L" first="Laura" last="Marin">Laura Marin</name><affiliation><nlm:affiliation>Primary Care Department, Azienda ULSS 3 (Unità Locale Socio Sanitaria) "Serenissima", Veneto Region, Italy.</nlm:affiliation></affiliation></author><author><name sortKey="Boscolo Fiore, Elena" sort="Boscolo Fiore, Elena" uniqKey="Boscolo Fiore E" first="Elena" last="Boscolo Fiore">Elena Boscolo Fiore</name><affiliation><nlm:affiliation>"Felice Fortunato Casson" Nursing Home, Chioggia, Venice, Italy.</nlm:affiliation></affiliation></author><author><name sortKey="Tiozzo, Andrea" sort="Tiozzo, Andrea" uniqKey="Tiozzo A" first="Andrea" last="Tiozzo">Andrea Tiozzo</name><affiliation><nlm:affiliation>Emergency Department, Ospedale Madonna della Navicella, Azienda ULSS 3 (Unità Locale Socio Sanitaria) "Serenissima", Primary Care Department, Veneto Region, Italy.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Journal of the American Medical Directors Association</title><idno type="eISSN">1538-9375</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>Aged, 80 and over (MeSH)</term><term>Betacoronavirus (MeSH)</term><term>Clinical Laboratory Techniques (MeSH)</term><term>Coronavirus Infections (diagnosis)</term><term>Coronavirus Infections (diagnostic imaging)</term><term>Female (MeSH)</term><term>Humans (MeSH)</term><term>Lung (diagnostic imaging)</term><term>Male (MeSH)</term><term>Nursing Homes (organization & administration)</term><term>Pandemics (MeSH)</term><term>Pneumonia, Viral (diagnostic imaging)</term><term>Retrospective Studies (MeSH)</term><term>Ultrasonography (MeSH)</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Coronavirus Infections</term></keywords><keywords scheme="MESH" qualifier="diagnostic imaging" xml:lang="en"><term>Coronavirus Infections</term><term>Lung</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="organization & administration" xml:lang="en"><term>Nursing Homes</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Aged</term><term>Aged, 80 and over</term><term>Betacoronavirus</term><term>Clinical Laboratory Techniques</term><term>Female</term><term>Humans</term><term>Male</term><term>Pandemics</term><term>Retrospective Studies</term><term>Ultrasonography</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>OBJECTIVES</b></p><p>Lung ultrasonographic (LUS) imaging may play an important role in the management of patients with COVID-19-associated lung injury, particularly in some special populations. However, data regarding the prognostic role of the LUS in nursing home residents, one of the populations most affected by COVID-19, are not still available.</p></div><div type="abstract" xml:lang="en"><p><b>DESIGN</b></p><p>Retrospective.</p></div><div type="abstract" xml:lang="en"><p><b>SETTINGS AND PARTICIPANTS</b></p><p>Nursing home residents affected by COVID-19 were followed up with an LUS from April 8 to May 14, 2020, in Chioggia, Venice.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS</b></p><p>COVID-19 was diagnosed through a nasopharyngeal swab. LUS results were scored using a 12-zone method. For each of the 12 zones (2 posterior, 2 anterior, 2 lateral, for both left and right lungs), the possible score ranged from 0 to 3 (1 = presence of B lines, separated, with <50% of space from the pleural line; 2 = presence of B lines, separated, with >50% of space from the pleural line; 3 = lung thickening with tissuelike aspect). The total score ranged from 0 to 36. Mortality was assessed using administrative data. Data regarding accuracy (and related parameters) were reported.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>Among 175 nursing home residents, 48 (mean age: 84.1 years; mainly female) were affected by COVID-19. Twelve died during the follow-up period. The mean LUS score was 3. The area under the curve of LUS in predicting mortality was 0.603 [95% confidence interval (CI): 0.419-0.787], and it increased to 0.725 (95% CI: 0.41-0.99) after including follow-up LUS controls. Taking an LUS score ≥4 as exposure variable and mortality as outcome, the sensitivity was 58.33% and specificity 63.89%, with a positive likelihood ratio of 1.62 and a negative of 0.65.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS AND IMPLICATIONS</b></p><p>LUS is able to significantly predict mortality in nursing home residents affected by COVID-19, suggesting that this simple tool can be routinely used in this setting instead of more invasive techniques available only in hospital.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32883596</PMID><DateCompleted><Year>2020</Year><Month>10</Month><Day>06</Day></DateCompleted><DateRevised><Year>2020</Year><Month>10</Month><Day>06</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1538-9375</ISSN><JournalIssue CitedMedium="Internet"><Volume>21</Volume><Issue>10</Issue><PubDate><Year>2020</Year><Month>Oct</Month></PubDate></JournalIssue><Title>Journal of the American Medical Directors Association</Title><ISOAbbreviation>J Am Med Dir Assoc</ISOAbbreviation></Journal><ArticleTitle>Prognostic Value of Lung Ultrasonography in Older Nursing Home Residents Affected by COVID-19.</ArticleTitle><Pagination><MedlinePgn>1384-1386</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S1525-8610(20)30659-9</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.jamda.2020.07.034</ELocationID><Abstract><AbstractText Label="OBJECTIVES" NlmCategory="OBJECTIVE">Lung ultrasonographic (LUS) imaging may play an important role in the management of patients with COVID-19-associated lung injury, particularly in some special populations. However, data regarding the prognostic role of the LUS in nursing home residents, one of the populations most affected by COVID-19, are not still available.</AbstractText><AbstractText Label="DESIGN" NlmCategory="METHODS">Retrospective.</AbstractText><AbstractText Label="SETTINGS AND PARTICIPANTS" NlmCategory="METHODS">Nursing home residents affected by COVID-19 were followed up with an LUS from April 8 to May 14, 2020, in Chioggia, Venice.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">COVID-19 was diagnosed through a nasopharyngeal swab. LUS results were scored using a 12-zone method. For each of the 12 zones (2 posterior, 2 anterior, 2 lateral, for both left and right lungs), the possible score ranged from 0 to 3 (1 = presence of B lines, separated, with <50% of space from the pleural line; 2 = presence of B lines, separated, with >50% of space from the pleural line; 3 = lung thickening with tissuelike aspect). The total score ranged from 0 to 36. Mortality was assessed using administrative data. Data regarding accuracy (and related parameters) were reported.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Among 175 nursing home residents, 48 (mean age: 84.1 years; mainly female) were affected by COVID-19. Twelve died during the follow-up period. The mean LUS score was 3. The area under the curve of LUS in predicting mortality was 0.603 [95% confidence interval (CI): 0.419-0.787], and it increased to 0.725 (95% CI: 0.41-0.99) after including follow-up LUS controls. Taking an LUS score ≥4 as exposure variable and mortality as outcome, the sensitivity was 58.33% and specificity 63.89%, with a positive likelihood ratio of 1.62 and a negative of 0.65.</AbstractText><AbstractText Label="CONCLUSIONS AND IMPLICATIONS" NlmCategory="CONCLUSIONS">LUS is able to significantly predict mortality in nursing home residents affected by COVID-19, suggesting that this simple tool can be routinely used in this setting instead of more invasive techniques available only in hospital.</AbstractText><CopyrightInformation>Copyright © 2020 AMDA – The Society for Post-Acute and Long-Term Care Medicine. Published by Elsevier Inc. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Veronese</LastName><ForeName>Nicola</ForeName><Initials>N</Initials><AffiliationInfo><Affiliation>Primary Care Department, Azienda ULSS 3 (Unità Locale Socio Sanitaria) "Serenissima", Veneto Region, Italy. Electronic address: ilmannato@gmail.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Sbrogiò</LastName><ForeName>Luca Gino</ForeName><Initials>LG</Initials><AffiliationInfo><Affiliation>Department of Prevention, Azienda ULSS 3 (Unità Locale Socio Sanitaria) "Serenissima", Veneto Region, Italy.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Valle</LastName><ForeName>Roberto</ForeName><Initials>R</Initials><AffiliationInfo><Affiliation>Cardiology Department, Ospedale Madonna della Navicella, Azienda ULSS 3 (Unità Locale Socio Sanitaria) "Serenissima", Veneto Region, Italy.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Marin</LastName><ForeName>Laura</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>Primary Care Department, Azienda ULSS 3 (Unità Locale Socio Sanitaria) "Serenissima", Veneto Region, Italy.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Boscolo Fiore</LastName><ForeName>Elena</ForeName><Initials>E</Initials><AffiliationInfo><Affiliation>"Felice Fortunato Casson" Nursing Home, Chioggia, Venice, Italy.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Tiozzo</LastName><ForeName>Andrea</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Emergency Department, Ospedale Madonna della Navicella, Azienda ULSS 3 (Unità Locale Socio Sanitaria) "Serenissima", Primary Care Department, Veneto Region, Italy.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>07</Month><Day>29</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>J Am Med Dir Assoc</MedlineTA><NlmUniqueID>100893243</NlmUniqueID><ISSNLinking>1525-8610</ISSNLinking></MedlineJournalInfo><SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName><SupplMeshName Type="Protocol" UI="C000657964">COVID-19 diagnostic testing</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="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="Y">Betacoronavirus</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D019411" MajorTopicYN="N">Clinical Laboratory Techniques</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName><QualifierName UI="Q000000981" MajorTopicYN="Y">diagnostic imaging</QualifierName></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="Y">diagnostic imaging</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009735" MajorTopicYN="N">Nursing Homes</DescriptorName><QualifierName UI="Q000458" MajorTopicYN="Y">organization & administration</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></MeshHeading><MeshHeading><DescriptorName UI="D012189" MajorTopicYN="N">Retrospective Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014463" MajorTopicYN="N">Ultrasonography</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">COVID-19</Keyword><Keyword MajorTopicYN="N">Ultrasonography</Keyword><Keyword MajorTopicYN="N">lung</Keyword><Keyword MajorTopicYN="N">nursing home</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>06</Month><Day>09</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2020</Year><Month>07</Month><Day>23</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>07</Month><Day>24</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>9</Month><Day>5</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>10</Month><Day>7</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>9</Month><Day>5</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32883596</ArticleId><ArticleId IdType="pii">S1525-8610(20)30659-9</ArticleId><ArticleId IdType="doi">10.1016/j.jamda.2020.07.034</ArticleId><ArticleId IdType="pmc">PMC7388855</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/CovidSeniorV1/Data/Main/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000352 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Corpus/biblio.hfd -nk 000352 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Sante
|area= CovidSeniorV1
|flux= Main
|étape= Corpus
|type= RBID
|clé= pubmed:32883596
|texte= Prognostic Value of Lung Ultrasonography in Older Nursing Home Residents Affected by COVID-19.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Corpus/RBID.i -Sk "pubmed:32883596" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Corpus/biblio.hfd \
| NlmPubMed2Wicri -a CovidSeniorV1
| This area was generated with Dilib version V0.6.37. |  |