Serveur d'exploration sur la COVID chez les séniors

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Streamlined Poststroke Treatment Order Sets During the SARS-CoV-2 Pandemic: Simplifying While Not Compromising Care.

Identifieur interne : 000201 ( Main/Exploration ); précédent : 000200; suivant : 000202

Streamlined Poststroke Treatment Order Sets During the SARS-CoV-2 Pandemic: Simplifying While Not Compromising Care.

Auteurs : Laura C. Gioia ; Alexandre Y. Poppe ; Roxanne Laroche ; Tristan Dacier-Falque ; Isabelle Sévigny ; Nicole Daneault ; Yan Deschaintre ; Grégory Jacquin ; Christian Stapf ; Celine Odier

Source :

RBID : pubmed:32790493

Descripteurs français

English descriptors

Abstract

BACKGROUND AND PURPOSE

Standard poststroke treatment monitoring protocols are made problematic during the coronavirus disease 2019 (COVID-19) pandemic by the frequency of patient assessments, requiring repeated donning and doffing procedures in a short interval of time.

METHODS

A streamlined poststroke treatment protocol was developed to limit frequency of patient encounters while maximizing the yield of each encounter by grouping together different components of poststroke care into single bedside visits.

RESULTS

Streamlined order sets were developed late March 2020. During the first 6 weeks following implementation, 70 patients were admitted to a geographically defined designated warm COVID-19 unit with modified poststroke care order sets. Of these, 33 (47.1%) patients received acute reperfusion therapy. All but 3 patients evolved favorably with either stable or improving National Institutes of Health Stroke Scale at 24 hours. In the 3 patients who experienced early neurological deterioration, none were found to be attributable to insufficient patient monitoring.

CONCLUSIONS

Adapting preexisting poststroke care protocols may be necessary while the risk of COVID-19 infection remains high. We propose a streamlined approach to facilitate poststroke monitoring in patients with stroke with unknown COVID status.


DOI: 10.1161/STROKEAHA.120.031008
PubMed: 32790493
PubMed Central: PMC7446994


Affiliations:


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


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<term>Aged (MeSH)</term>
<term>Aged, 80 and over (MeSH)</term>
<term>Betacoronavirus (MeSH)</term>
<term>Coronavirus Infections (MeSH)</term>
<term>Critical Pathways (MeSH)</term>
<term>Female (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Male (MeSH)</term>
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<term>Betacoronavirus</term>
<term>Coronavirus Infections</term>
<term>Critical Pathways</term>
<term>Female</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Pandemics</term>
<term>Pneumonia, Viral</term>
<term>Quality of Health Care</term>
<term>Thrombectomy</term>
<term>Thrombolytic Therapy</term>
<term>Workflow</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr">
<term>Adulte d'âge moyen</term>
<term>Betacoronavirus</term>
<term>Femelle</term>
<term>Flux de travaux</term>
<term>Humains</term>
<term>Infections à coronavirus</term>
<term>Mâle</term>
<term>Pandémies</term>
<term>Pneumopathie virale</term>
<term>Programme clinique</term>
<term>Qualité des soins de santé</term>
<term>Sujet âgé</term>
<term>Sujet âgé de 80 ans ou plus</term>
<term>Thrombectomie</term>
<term>Traitement thrombolytique</term>
</keywords>
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</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<p>
<b>BACKGROUND AND PURPOSE</b>
</p>
<p>Standard poststroke treatment monitoring protocols are made problematic during the coronavirus disease 2019 (COVID-19) pandemic by the frequency of patient assessments, requiring repeated donning and doffing procedures in a short interval of time.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>METHODS</b>
</p>
<p>A streamlined poststroke treatment protocol was developed to limit frequency of patient encounters while maximizing the yield of each encounter by grouping together different components of poststroke care into single bedside visits.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>RESULTS</b>
</p>
<p>Streamlined order sets were developed late March 2020. During the first 6 weeks following implementation, 70 patients were admitted to a geographically defined designated warm COVID-19 unit with modified poststroke care order sets. Of these, 33 (47.1%) patients received acute reperfusion therapy. All but 3 patients evolved favorably with either stable or improving National Institutes of Health Stroke Scale at 24 hours. In the 3 patients who experienced early neurological deterioration, none were found to be attributable to insufficient patient monitoring.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>CONCLUSIONS</b>
</p>
<p>Adapting preexisting poststroke care protocols may be necessary while the risk of COVID-19 infection remains high. We propose a streamlined approach to facilitate poststroke monitoring in patients with stroke with unknown COVID status.</p>
</div>
</front>
</TEI>
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<MedlineCitation Status="MEDLINE" Owner="NLM">
<PMID Version="1">32790493</PMID>
<DateCompleted>
<Year>2020</Year>
<Month>10</Month>
<Day>08</Day>
</DateCompleted>
<DateRevised>
<Year>2020</Year>
<Month>10</Month>
<Day>08</Day>
</DateRevised>
<Article PubModel="Print-Electronic">
<Journal>
<ISSN IssnType="Electronic">1524-4628</ISSN>
<JournalIssue CitedMedium="Internet">
<Volume>51</Volume>
<Issue>10</Issue>
<PubDate>
<Year>2020</Year>
<Month>10</Month>
</PubDate>
</JournalIssue>
<Title>Stroke</Title>
<ISOAbbreviation>Stroke</ISOAbbreviation>
</Journal>
<ArticleTitle>Streamlined Poststroke Treatment Order Sets During the SARS-CoV-2 Pandemic: Simplifying While Not Compromising Care.</ArticleTitle>
<Pagination>
<MedlinePgn>3115-3118</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1161/STROKEAHA.120.031008</ELocationID>
<Abstract>
<AbstractText Label="BACKGROUND AND PURPOSE">Standard poststroke treatment monitoring protocols are made problematic during the coronavirus disease 2019 (COVID-19) pandemic by the frequency of patient assessments, requiring repeated donning and doffing procedures in a short interval of time.</AbstractText>
<AbstractText Label="METHODS">A streamlined poststroke treatment protocol was developed to limit frequency of patient encounters while maximizing the yield of each encounter by grouping together different components of poststroke care into single bedside visits.</AbstractText>
<AbstractText Label="RESULTS">Streamlined order sets were developed late March 2020. During the first 6 weeks following implementation, 70 patients were admitted to a geographically defined designated warm COVID-19 unit with modified poststroke care order sets. Of these, 33 (47.1%) patients received acute reperfusion therapy. All but 3 patients evolved favorably with either stable or improving National Institutes of Health Stroke Scale at 24 hours. In the 3 patients who experienced early neurological deterioration, none were found to be attributable to insufficient patient monitoring.</AbstractText>
<AbstractText Label="CONCLUSIONS">Adapting preexisting poststroke care protocols may be necessary while the risk of COVID-19 infection remains high. We propose a streamlined approach to facilitate poststroke monitoring in patients with stroke with unknown COVID status.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y">
<LastName>Gioia</LastName>
<ForeName>Laura C</ForeName>
<Initials>LC</Initials>
<AffiliationInfo>
<Affiliation>Department of Neurosciences, Université de Montréal (L.C.G., A.Y.P., N.D., Y.D., G.J., C.S., C.O.).</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Neurovascular Health Group, Neuroscience Axis, Centre de recherche de l'Université de Montréal (CRCHUM) (L.C.G., A.Y.P., N.D., Y.D., G.J., C.S., C.O.).</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Department of Neurology, Neurovascular Health Program, Centre hospitalier de l'Université de Montréal (CHUM). (L.C.G., A.Y.P., N.D., Y.D., G.J., C.S., C.O.).</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Poppe</LastName>
<ForeName>Alexandre Y</ForeName>
<Initials>AY</Initials>
<AffiliationInfo>
<Affiliation>Department of Neurosciences, Université de Montréal (L.C.G., A.Y.P., N.D., Y.D., G.J., C.S., C.O.).</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Neurovascular Health Group, Neuroscience Axis, Centre de recherche de l'Université de Montréal (CRCHUM) (L.C.G., A.Y.P., N.D., Y.D., G.J., C.S., C.O.).</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Department of Neurology, Neurovascular Health Program, Centre hospitalier de l'Université de Montréal (CHUM). (L.C.G., A.Y.P., N.D., Y.D., G.J., C.S., C.O.).</Affiliation>
</AffiliationInfo>
</Author>
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<LastName>Laroche</LastName>
<ForeName>Roxanne</ForeName>
<Initials>R</Initials>
<AffiliationInfo>
<Affiliation>Department of Nursing Sciences, Centre hospitalier de l'Université de Montréal (CHUM). (R,L., T.D.-F., I.S.).</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Dacier-Falque</LastName>
<ForeName>Tristan</ForeName>
<Initials>T</Initials>
<AffiliationInfo>
<Affiliation>Department of Nursing Sciences, Centre hospitalier de l'Université de Montréal (CHUM). (R,L., T.D.-F., I.S.).</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Sévigny</LastName>
<ForeName>Isabelle</ForeName>
<Initials>I</Initials>
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</AffiliationInfo>
</Author>
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<LastName>Daneault</LastName>
<ForeName>Nicole</ForeName>
<Initials>N</Initials>
<AffiliationInfo>
<Affiliation>Department of Neurosciences, Université de Montréal (L.C.G., A.Y.P., N.D., Y.D., G.J., C.S., C.O.).</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Neurovascular Health Group, Neuroscience Axis, Centre de recherche de l'Université de Montréal (CRCHUM) (L.C.G., A.Y.P., N.D., Y.D., G.J., C.S., C.O.).</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Department of Neurology, Neurovascular Health Program, Centre hospitalier de l'Université de Montréal (CHUM). (L.C.G., A.Y.P., N.D., Y.D., G.J., C.S., C.O.).</Affiliation>
</AffiliationInfo>
</Author>
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</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Neurovascular Health Group, Neuroscience Axis, Centre de recherche de l'Université de Montréal (CRCHUM) (L.C.G., A.Y.P., N.D., Y.D., G.J., C.S., C.O.).</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Department of Neurology, Neurovascular Health Program, Centre hospitalier de l'Université de Montréal (CHUM). (L.C.G., A.Y.P., N.D., Y.D., G.J., C.S., C.O.).</Affiliation>
</AffiliationInfo>
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</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Neurovascular Health Group, Neuroscience Axis, Centre de recherche de l'Université de Montréal (CRCHUM) (L.C.G., A.Y.P., N.D., Y.D., G.J., C.S., C.O.).</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Department of Neurology, Neurovascular Health Program, Centre hospitalier de l'Université de Montréal (CHUM). (L.C.G., A.Y.P., N.D., Y.D., G.J., C.S., C.O.).</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y">
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<Initials>C</Initials>
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<AffiliationInfo>
<Affiliation>Neurovascular Health Group, Neuroscience Axis, Centre de recherche de l'Université de Montréal (CRCHUM) (L.C.G., A.Y.P., N.D., Y.D., G.J., C.S., C.O.).</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Department of Neurology, Neurovascular Health Program, Centre hospitalier de l'Université de Montréal (CHUM). (L.C.G., A.Y.P., N.D., Y.D., G.J., C.S., C.O.).</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Odier</LastName>
<ForeName>Celine</ForeName>
<Initials>C</Initials>
<AffiliationInfo>
<Affiliation>Department of Neurosciences, Université de Montréal (L.C.G., A.Y.P., N.D., Y.D., G.J., C.S., C.O.).</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Neurovascular Health Group, Neuroscience Axis, Centre de recherche de l'Université de Montréal (CRCHUM) (L.C.G., A.Y.P., N.D., Y.D., G.J., C.S., C.O.).</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Department of Neurology, Neurovascular Health Program, Centre hospitalier de l'Université de Montréal (CHUM). (L.C.G., A.Y.P., N.D., Y.D., G.J., C.S., C.O.).</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList>
<PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic">
<Year>2020</Year>
<Month>08</Month>
<Day>13</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo>
<Country>United States</Country>
<MedlineTA>Stroke</MedlineTA>
<NlmUniqueID>0235266</NlmUniqueID>
<ISSNLinking>0039-2499</ISSNLinking>
</MedlineJournalInfo>
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<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="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000073640" MajorTopicYN="N">Betacoronavirus</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D018352" MajorTopicYN="Y">Coronavirus Infections</DescriptorName>
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<MeshHeading>
<DescriptorName UI="D019091" MajorTopicYN="Y">Critical Pathways</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
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<MeshHeading>
<DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
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<MeshHeading>
<DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D008991" MajorTopicYN="N">Monitoring, Physiologic</DescriptorName>
<QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName>
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<MeshHeading>
<DescriptorName UI="D058873" MajorTopicYN="Y">Pandemics</DescriptorName>
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<MeshHeading>
<DescriptorName UI="D011024" MajorTopicYN="Y">Pneumonia, Viral</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D011787" MajorTopicYN="Y">Quality of Health Care</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D020521" MajorTopicYN="N">Stroke</DescriptorName>
<QualifierName UI="Q000503" MajorTopicYN="N">physiopathology</QualifierName>
<QualifierName UI="Q000628" MajorTopicYN="Y">therapy</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D017131" MajorTopicYN="N">Thrombectomy</DescriptorName>
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<Hour>6</Hour>
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<name sortKey="Dacier Falque, Tristan" sort="Dacier Falque, Tristan" uniqKey="Dacier Falque T" first="Tristan" last="Dacier-Falque">Tristan Dacier-Falque</name>
<name sortKey="Daneault, Nicole" sort="Daneault, Nicole" uniqKey="Daneault N" first="Nicole" last="Daneault">Nicole Daneault</name>
<name sortKey="Deschaintre, Yan" sort="Deschaintre, Yan" uniqKey="Deschaintre Y" first="Yan" last="Deschaintre">Yan Deschaintre</name>
<name sortKey="Gioia, Laura C" sort="Gioia, Laura C" uniqKey="Gioia L" first="Laura C" last="Gioia">Laura C. Gioia</name>
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