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.

Predictive model of increased mortality and bed occupancy if thrombolysis becomes the initial treatment strategy for STEMI during the SARS-CoV-2 pandemic.

Identifieur interne : 000978 ( Main/Corpus ); précédent : 000977; suivant : 000979

Predictive model of increased mortality and bed occupancy if thrombolysis becomes the initial treatment strategy for STEMI during the SARS-CoV-2 pandemic.

Auteurs : Luke Dancy ; Kevin O'Gallagher ; Matthew Ryan ; Philip A. Maccarthy ; Ajay M. Shah

Source :

RBID : pubmed:32719037

English descriptors

Abstract

During the current SARS-CoV-2 pandemic the restructure of healthcare services to meet the huge increase in demand for hospital resource and capacity has led to the proposal that where necessary ST elevation myocardial infarction (STEMI) could be managed by intravenous thrombolysis in the first instance as a means of reducing the workforce requirements of a primary angioplasty service run at a heart attack centre. Our modelling, based on data from the UK, shows that contrary to reducing demand, the effect on both mortality and bed occupancy would be negative with 158 additional deaths per year for each 10% reduction in primary angioplasty and at a cost of ~8,000 additional bed days per year for the same reduction. Our analysis demonstrates that specialist services such as heart attack pathways should be protected during the COVID crisis to maximise the appropriate use of resource and prevent unnecessary mortality.

DOI: 10.7861/clinmed.2020-0293
PubMed: 32719037
PubMed Central: PMC7539733

Links to Exploration step

pubmed:32719037

Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">Predictive model of increased mortality and bed occupancy if thrombolysis becomes the initial treatment strategy for STEMI during the SARS-CoV-2 pandemic.</title>
<author>
<name sortKey="Dancy, Luke" sort="Dancy, Luke" uniqKey="Dancy L" first="Luke" last="Dancy">Luke Dancy</name>
<affiliation>
<nlm:affiliation>King's College Hospital NHS Foundation Trust, London, UK.</nlm:affiliation>
</affiliation>
</author>
<author>
<name sortKey="O Gallagher, Kevin" sort="O Gallagher, Kevin" uniqKey="O Gallagher K" first="Kevin" last="O'Gallagher">Kevin O'Gallagher</name>
<affiliation>
<nlm:affiliation>The King's College London British Heart Foundation Centre of Research Excellence, London, UK kevin.o'gallagher@kcl.ac.uk.</nlm:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Ryan, Matthew" sort="Ryan, Matthew" uniqKey="Ryan M" first="Matthew" last="Ryan">Matthew Ryan</name>
<affiliation>
<nlm:affiliation>The King's College London British Heart Foundation Centre of Research Excellence, London, UK.</nlm:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Maccarthy, Philip A" sort="Maccarthy, Philip A" uniqKey="Maccarthy P" first="Philip A" last="Maccarthy">Philip A. Maccarthy</name>
<affiliation>
<nlm:affiliation>King's College Hospital NHS Foundation Trust, London, UK.</nlm:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Shah, Ajay M" sort="Shah, Ajay M" uniqKey="Shah A" first="Ajay M" last="Shah">Ajay M. Shah</name>
<affiliation>
<nlm:affiliation>The King's College London British Heart Foundation Centre of Research Excellence, London, UK.</nlm:affiliation>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PubMed</idno>
<date when="2020">2020</date>
<idno type="RBID">pubmed:32719037</idno>
<idno type="pmid">32719037</idno>
<idno type="doi">10.7861/clinmed.2020-0293</idno>
<idno type="pmc">PMC7539733</idno>
<idno type="wicri:Area/Main/Corpus">000978</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000978</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en">Predictive model of increased mortality and bed occupancy if thrombolysis becomes the initial treatment strategy for STEMI during the SARS-CoV-2 pandemic.</title>
<author>
<name sortKey="Dancy, Luke" sort="Dancy, Luke" uniqKey="Dancy L" first="Luke" last="Dancy">Luke Dancy</name>
<affiliation>
<nlm:affiliation>King's College Hospital NHS Foundation Trust, London, UK.</nlm:affiliation>
</affiliation>
</author>
<author>
<name sortKey="O Gallagher, Kevin" sort="O Gallagher, Kevin" uniqKey="O Gallagher K" first="Kevin" last="O'Gallagher">Kevin O'Gallagher</name>
<affiliation>
<nlm:affiliation>The King's College London British Heart Foundation Centre of Research Excellence, London, UK kevin.o'gallagher@kcl.ac.uk.</nlm:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Ryan, Matthew" sort="Ryan, Matthew" uniqKey="Ryan M" first="Matthew" last="Ryan">Matthew Ryan</name>
<affiliation>
<nlm:affiliation>The King's College London British Heart Foundation Centre of Research Excellence, London, UK.</nlm:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Maccarthy, Philip A" sort="Maccarthy, Philip A" uniqKey="Maccarthy P" first="Philip A" last="Maccarthy">Philip A. Maccarthy</name>
<affiliation>
<nlm:affiliation>King's College Hospital NHS Foundation Trust, London, UK.</nlm:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Shah, Ajay M" sort="Shah, Ajay M" uniqKey="Shah A" first="Ajay M" last="Shah">Ajay M. Shah</name>
<affiliation>
<nlm:affiliation>The King's College London British Heart Foundation Centre of Research Excellence, London, UK.</nlm:affiliation>
</affiliation>
</author>
</analytic>
<series>
<title level="j">Clinical medicine (London, England)</title>
<idno type="eISSN">1473-4893</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>Bed Occupancy (statistics & numerical data)</term>
<term>Coronavirus Infections (epidemiology)</term>
<term>Coronavirus Infections (prevention & control)</term>
<term>Female (MeSH)</term>
<term>Hospital Mortality (trends)</term>
<term>Humans (MeSH)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Outcome Assessment, Health Care (MeSH)</term>
<term>Pandemics (prevention & control)</term>
<term>Pandemics (statistics & numerical data)</term>
<term>Percutaneous Coronary Intervention (statistics & numerical data)</term>
<term>Pneumonia, Viral (epidemiology)</term>
<term>Pneumonia, Viral (prevention & control)</term>
<term>Risk Assessment (MeSH)</term>
<term>ST Elevation Myocardial Infarction (diagnosis)</term>
<term>ST Elevation Myocardial Infarction (mortality)</term>
<term>ST Elevation Myocardial Infarction (therapy)</term>
<term>Severe Acute Respiratory Syndrome (epidemiology)</term>
<term>Severe Acute Respiratory Syndrome (prevention & control)</term>
<term>Thrombolytic Therapy (methods)</term>
<term>Thrombolytic Therapy (statistics & numerical data)</term>
<term>United Kingdom (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="geographic" xml:lang="en">
<term>United Kingdom</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnosis" xml:lang="en">
<term>ST Elevation Myocardial Infarction</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en">
<term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
<term>Severe Acute Respiratory Syndrome</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en">
<term>Thrombolytic Therapy</term>
</keywords>
<keywords scheme="MESH" qualifier="mortality" xml:lang="en">
<term>ST Elevation Myocardial Infarction</term>
</keywords>
<keywords scheme="MESH" qualifier="prevention & control" xml:lang="en">
<term>Coronavirus Infections</term>
<term>Pandemics</term>
<term>Pneumonia, Viral</term>
<term>Severe Acute Respiratory Syndrome</term>
</keywords>
<keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en">
<term>Bed Occupancy</term>
<term>Pandemics</term>
<term>Percutaneous Coronary Intervention</term>
<term>Thrombolytic Therapy</term>
</keywords>
<keywords scheme="MESH" qualifier="therapy" xml:lang="en">
<term>ST Elevation Myocardial Infarction</term>
</keywords>
<keywords scheme="MESH" qualifier="trends" xml:lang="en">
<term>Hospital Mortality</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Aged</term>
<term>Female</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Outcome Assessment, Health Care</term>
<term>Risk Assessment</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">During the current SARS-CoV-2 pandemic the restructure of healthcare services to meet the huge increase in demand for hospital resource and capacity has led to the proposal that where necessary ST elevation myocardial infarction (STEMI) could be managed by intravenous thrombolysis in the first instance as a means of reducing the workforce requirements of a primary angioplasty service run at a heart attack centre. Our modelling, based on data from the UK, shows that contrary to reducing demand, the effect on both mortality and bed occupancy would be negative with 158 additional deaths per year for each 10% reduction in primary angioplasty and at a cost of ~8,000 additional bed days per year for the same reduction. Our analysis demonstrates that specialist services such as heart attack pathways should be protected during the COVID crisis to maximise the appropriate use of resource and prevent unnecessary mortality.</div>
</front>
</TEI>
<pubmed>
<MedlineCitation Status="MEDLINE" Owner="NLM">
<PMID Version="1">32719037</PMID>
<DateCompleted>
<Year>2020</Year>
<Month>10</Month>
<Day>02</Day>
</DateCompleted>
<DateRevised>
<Year>2020</Year>
<Month>10</Month>
<Day>09</Day>
</DateRevised>
<Article PubModel="Print-Electronic">
<Journal>
<ISSN IssnType="Electronic">1473-4893</ISSN>
<JournalIssue CitedMedium="Internet">
<Volume>20</Volume>
<Issue>5</Issue>
<PubDate>
<Year>2020</Year>
<Month>09</Month>
</PubDate>
</JournalIssue>
<Title>Clinical medicine (London, England)</Title>
<ISOAbbreviation>Clin Med (Lond)</ISOAbbreviation>
</Journal>
<ArticleTitle>Predictive model of increased mortality and bed occupancy if thrombolysis becomes the initial treatment strategy for STEMI during the SARS-CoV-2 pandemic.</ArticleTitle>
<Pagination>
<MedlinePgn>e170-e172</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.7861/clinmed.2020-0293</ELocationID>
<Abstract>
<AbstractText>During the current SARS-CoV-2 pandemic the restructure of healthcare services to meet the huge increase in demand for hospital resource and capacity has led to the proposal that where necessary ST elevation myocardial infarction (STEMI) could be managed by intravenous thrombolysis in the first instance as a means of reducing the workforce requirements of a primary angioplasty service run at a heart attack centre. Our modelling, based on data from the UK, shows that contrary to reducing demand, the effect on both mortality and bed occupancy would be negative with 158 additional deaths per year for each 10% reduction in primary angioplasty and at a cost of ~8,000 additional bed days per year for the same reduction. Our analysis demonstrates that specialist services such as heart attack pathways should be protected during the COVID crisis to maximise the appropriate use of resource and prevent unnecessary mortality.</AbstractText>
<CopyrightInformation>© Royal College of Physicians 2020. All rights reserved.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y">
<LastName>Dancy</LastName>
<ForeName>Luke</ForeName>
<Initials>L</Initials>
<AffiliationInfo>
<Affiliation>King's College Hospital NHS Foundation Trust, London, UK.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>O'Gallagher</LastName>
<ForeName>Kevin</ForeName>
<Initials>K</Initials>
<AffiliationInfo>
<Affiliation>The King's College London British Heart Foundation Centre of Research Excellence, London, UK kevin.o'gallagher@kcl.ac.uk.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Ryan</LastName>
<ForeName>Matthew</ForeName>
<Initials>M</Initials>
<AffiliationInfo>
<Affiliation>The King's College London British Heart Foundation Centre of Research Excellence, London, UK.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>MacCarthy</LastName>
<ForeName>Philip A</ForeName>
<Initials>PA</Initials>
<AffiliationInfo>
<Affiliation>King's College Hospital NHS Foundation Trust, London, UK.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>Shah</LastName>
<ForeName>Ajay M</ForeName>
<Initials>AM</Initials>
<AffiliationInfo>
<Affiliation>The King's College London British Heart Foundation Centre of Research Excellence, London, UK.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList>
<PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D016454">Review</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic">
<Year>2020</Year>
<Month>07</Month>
<Day>27</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo>
<Country>England</Country>
<MedlineTA>Clin Med (Lond)</MedlineTA>
<NlmUniqueID>101092853</NlmUniqueID>
<ISSNLinking>1470-2118</ISSNLinking>
</MedlineJournalInfo>
<SupplMeshList>
<SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName>
</SupplMeshList>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList>
<MeshHeading>
<DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D001509" MajorTopicYN="N">Bed Occupancy</DescriptorName>
<QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
<QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D017052" MajorTopicYN="N">Hospital Mortality</DescriptorName>
<QualifierName UI="Q000639" MajorTopicYN="N">trends</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D017063" MajorTopicYN="N">Outcome Assessment, Health Care</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName>
<QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName>
<QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D062645" MajorTopicYN="N">Percutaneous Coronary Intervention</DescriptorName>
<QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
<QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D018570" MajorTopicYN="N">Risk Assessment</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000072657" MajorTopicYN="N">ST Elevation Myocardial Infarction</DescriptorName>
<QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName>
<QualifierName UI="Q000401" MajorTopicYN="Y">mortality</QualifierName>
<QualifierName UI="Q000628" MajorTopicYN="Y">therapy</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D045169" MajorTopicYN="N">Severe Acute Respiratory Syndrome</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
<QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D015912" MajorTopicYN="N">Thrombolytic Therapy</DescriptorName>
<QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName>
<QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D006113" MajorTopicYN="N" Type="Geographic">United Kingdom</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM">
<Keyword MajorTopicYN="Y">COVID-19</Keyword>
<Keyword MajorTopicYN="Y">STEMI</Keyword>
<Keyword MajorTopicYN="Y">primary PCI</Keyword>
<Keyword MajorTopicYN="Y">thrombolysis</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData>
<History>
<PubMedPubDate PubStatus="pubmed">
<Year>2020</Year>
<Month>7</Month>
<Day>29</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline">
<Year>2020</Year>
<Month>10</Month>
<Day>3</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez">
<Year>2020</Year>
<Month>7</Month>
<Day>29</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList>
<ArticleId IdType="pubmed">32719037</ArticleId>
<ArticleId IdType="pii">clinmed.2020-0293</ArticleId>
<ArticleId IdType="doi">10.7861/clinmed.2020-0293</ArticleId>
<ArticleId IdType="pmc">PMC7539733</ArticleId>
</ArticleIdList>
<ReferenceList>
<Reference>
<Citation>Intensive Care Med. 2012 Oct;38(10):1647-53</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">22777516</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Heart. 2001 Jan;85(1):104-12</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">11119477</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Circulation. 2020 Jun 16;141(24):1951-1953</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32315205</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Lancet. 2003 Jan 4;361(9351):13-20</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">12517460</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Am Heart J. 2020 Aug;226:45-48</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32497914</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>JAMA. 2020 Apr 28;323(16):1545-1546</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32167538</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Eur J Heart Fail. 2020 Jun;22(6):967-974</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32485082</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Lancet. 2020 Jun 6;395(10239):1763-1770</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32442528</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>J Am Coll Cardiol. 2015 Mar 31;65(12):1161-1171</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">25814223</ArticleId>
</ArticleIdList>
</Reference>
<Reference>
<Citation>Lancet. 2020 Feb 15;395(10223):507-513</Citation>
<ArticleIdList>
<ArticleId IdType="pubmed">32007143</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
</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 000978 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Main/Corpus/biblio.hfd -nk 000978 | 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:32719037
   |texte=   Predictive model of increased mortality and bed occupancy if thrombolysis becomes the initial treatment strategy for STEMI during the SARS-CoV-2 pandemic.
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Corpus/RBID.i   -Sk "pubmed:32719037" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Corpus/biblio.hfd   \
       | NlmPubMed2Wicri -a CovidSeniorV1 

Wicri

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