Serveur d'exploration sur les pandémies grippales

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.

Risk modelling the mortality impact of antimicrobial resistance in secondary pneumococcal pneumonia infections during the 2009 influenza pandemic.

Identifieur interne : 000136 ( PubMed/Corpus ); précédent : 000135; suivant : 000137

Risk modelling the mortality impact of antimicrobial resistance in secondary pneumococcal pneumonia infections during the 2009 influenza pandemic.

Auteurs : Carrie E. Barnes ; C Raina Macintyre

Source :

RBID : pubmed:31096052

English descriptors

Abstract

The aim of this study was to estimate the impact of antimicrobial resistance (AMR) in secondary pneumococcal pneumonia infections on global mortality during the 2009 influenza pandemic, to estimate future pandemic mortality risk and to inform pandemic preparedness.

DOI: 10.1016/j.ijid.2019.05.005
PubMed: 31096052

Links to Exploration step

pubmed:31096052

Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">Risk modelling the mortality impact of antimicrobial resistance in secondary pneumococcal pneumonia infections during the 2009 influenza pandemic.</title>
<author>
<name sortKey="Barnes, Carrie E" sort="Barnes, Carrie E" uniqKey="Barnes C" first="Carrie E" last="Barnes">Carrie E. Barnes</name>
<affiliation>
<nlm:affiliation>School of Public Health and Community Medicine, University of New South Wales, Sydney, Australia. Electronic address: carrie.barnes@dhhs.vic.gov.au.</nlm:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Macintyre, C Raina" sort="Macintyre, C Raina" uniqKey="Macintyre C" first="C Raina" last="Macintyre">C Raina Macintyre</name>
<affiliation>
<nlm:affiliation>The Kirby Institute, Sydney, Australia.</nlm:affiliation>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PubMed</idno>
<date when="2019">2019</date>
<idno type="RBID">pubmed:31096052</idno>
<idno type="pmid">31096052</idno>
<idno type="doi">10.1016/j.ijid.2019.05.005</idno>
<idno type="wicri:Area/PubMed/Corpus">000136</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000136</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en">Risk modelling the mortality impact of antimicrobial resistance in secondary pneumococcal pneumonia infections during the 2009 influenza pandemic.</title>
<author>
<name sortKey="Barnes, Carrie E" sort="Barnes, Carrie E" uniqKey="Barnes C" first="Carrie E" last="Barnes">Carrie E. Barnes</name>
<affiliation>
<nlm:affiliation>School of Public Health and Community Medicine, University of New South Wales, Sydney, Australia. Electronic address: carrie.barnes@dhhs.vic.gov.au.</nlm:affiliation>
</affiliation>
</author>
<author>
<name sortKey="Macintyre, C Raina" sort="Macintyre, C Raina" uniqKey="Macintyre C" first="C Raina" last="Macintyre">C Raina Macintyre</name>
<affiliation>
<nlm:affiliation>The Kirby Institute, Sydney, Australia.</nlm:affiliation>
</affiliation>
</author>
</analytic>
<series>
<title level="j">International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases</title>
<idno type="eISSN">1878-3511</idno>
<imprint>
<date when="2019" type="published">2019</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="KwdEn" xml:lang="en">
<term>Adolescent</term>
<term>Adult</term>
<term>Anti-Bacterial Agents (pharmacology)</term>
<term>Coinfection (drug therapy)</term>
<term>Coinfection (epidemiology)</term>
<term>Coinfection (microbiology)</term>
<term>Coinfection (mortality)</term>
<term>Drug Resistance, Bacterial</term>
<term>Female</term>
<term>Humans</term>
<term>Influenza Vaccines (administration & dosage)</term>
<term>Influenza Vaccines (adverse effects)</term>
<term>Influenza, Human (complications)</term>
<term>Influenza, Human (epidemiology)</term>
<term>Influenza, Human (prevention & control)</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Pandemics (prevention & control)</term>
<term>Pneumococcal Vaccines (administration & dosage)</term>
<term>Pneumococcal Vaccines (genetics)</term>
<term>Pneumococcal Vaccines (immunology)</term>
<term>Pneumonia, Pneumococcal (epidemiology)</term>
<term>Pneumonia, Pneumococcal (etiology)</term>
<term>Pneumonia, Pneumococcal (microbiology)</term>
<term>Pneumonia, Pneumococcal (mortality)</term>
<term>Streptococcus pneumoniae (drug effects)</term>
<term>Streptococcus pneumoniae (genetics)</term>
<term>Streptococcus pneumoniae (physiology)</term>
<term>Vaccination</term>
<term>Young Adult</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="administration & dosage" xml:lang="en">
<term>Influenza Vaccines</term>
<term>Pneumococcal Vaccines</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="adverse effects" xml:lang="en">
<term>Influenza Vaccines</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="genetics" xml:lang="en">
<term>Pneumococcal Vaccines</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="immunology" xml:lang="en">
<term>Pneumococcal Vaccines</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="pharmacology" xml:lang="en">
<term>Anti-Bacterial Agents</term>
</keywords>
<keywords scheme="MESH" qualifier="complications" xml:lang="en">
<term>Influenza, Human</term>
</keywords>
<keywords scheme="MESH" qualifier="drug effects" xml:lang="en">
<term>Streptococcus pneumoniae</term>
</keywords>
<keywords scheme="MESH" qualifier="drug therapy" xml:lang="en">
<term>Coinfection</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en">
<term>Coinfection</term>
<term>Influenza, Human</term>
<term>Pneumonia, Pneumococcal</term>
</keywords>
<keywords scheme="MESH" qualifier="etiology" xml:lang="en">
<term>Pneumonia, Pneumococcal</term>
</keywords>
<keywords scheme="MESH" qualifier="genetics" xml:lang="en">
<term>Streptococcus pneumoniae</term>
</keywords>
<keywords scheme="MESH" qualifier="microbiology" xml:lang="en">
<term>Coinfection</term>
<term>Pneumonia, Pneumococcal</term>
</keywords>
<keywords scheme="MESH" qualifier="mortality" xml:lang="en">
<term>Coinfection</term>
<term>Pneumonia, Pneumococcal</term>
</keywords>
<keywords scheme="MESH" qualifier="physiology" xml:lang="en">
<term>Streptococcus pneumoniae</term>
</keywords>
<keywords scheme="MESH" qualifier="prevention & control" xml:lang="en">
<term>Influenza, Human</term>
<term>Pandemics</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Adolescent</term>
<term>Adult</term>
<term>Drug Resistance, Bacterial</term>
<term>Female</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Vaccination</term>
<term>Young Adult</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">The aim of this study was to estimate the impact of antimicrobial resistance (AMR) in secondary pneumococcal pneumonia infections on global mortality during the 2009 influenza pandemic, to estimate future pandemic mortality risk and to inform pandemic preparedness.</div>
</front>
</TEI>
<pubmed>
<MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM">
<PMID Version="1">31096052</PMID>
<DateCompleted>
<Year>2019</Year>
<Month>10</Month>
<Day>28</Day>
</DateCompleted>
<DateRevised>
<Year>2019</Year>
<Month>10</Month>
<Day>28</Day>
</DateRevised>
<Article PubModel="Print-Electronic">
<Journal>
<ISSN IssnType="Electronic">1878-3511</ISSN>
<JournalIssue CitedMedium="Internet">
<Volume>85</Volume>
<PubDate>
<Year>2019</Year>
<Month>Aug</Month>
</PubDate>
</JournalIssue>
<Title>International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases</Title>
<ISOAbbreviation>Int. J. Infect. Dis.</ISOAbbreviation>
</Journal>
<ArticleTitle>Risk modelling the mortality impact of antimicrobial resistance in secondary pneumococcal pneumonia infections during the 2009 influenza pandemic.</ArticleTitle>
<Pagination>
<MedlinePgn>1-6</MedlinePgn>
</Pagination>
<ELocationID EIdType="pii" ValidYN="Y">S1201-9712(19)30211-5</ELocationID>
<ELocationID EIdType="doi" ValidYN="Y">10.1016/j.ijid.2019.05.005</ELocationID>
<Abstract>
<AbstractText Label="OBJECTIVES" NlmCategory="OBJECTIVE">The aim of this study was to estimate the impact of antimicrobial resistance (AMR) in secondary pneumococcal pneumonia infections on global mortality during the 2009 influenza pandemic, to estimate future pandemic mortality risk and to inform pandemic preparedness.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">Risk analysis modelling was conducted using a multivariate risk formula. Literature reviews were conducted to generate global central estimates for each of the parameters of the risk formula in relation to the 2009 influenza pandemic, secondary pneumococcal pneumonia, rates of AMR, and pneumococcal vaccine efficacy as a component of pandemic preparedness.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">Global Streptococcus pneumoniae AMR was estimated at 21.8% to 27.6%, and contributed to 1.8% to 2.3% of deaths during the 2009 influenza pandemic. When directly applied to mortality due to multidrug resistance, pneumococcal vaccination could potentially prevent 1277 to 3754 deaths and could have reduced mortality from multidrug-resistant S. pneumoniae to 1% to 1.2%.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">AMR in secondary pneumococcal infections contributed towards a small percentage of the global mortality during the 2009 influenza pandemic. Increased S. pneumoniae AMR could result in a three- to four-fold rise in mortality due to secondary pneumococcal infections in future influenza pandemics. Pneumococcal vaccination has an important role in preventing pneumococcal co-infections and combating AMR in all populations, and should be considered a key component of influenza pandemic preparedness or early action plans.</AbstractText>
<CopyrightInformation>Copyright © 2019 The Authors. Published by Elsevier Ltd.. All rights reserved.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y">
<Author ValidYN="Y">
<LastName>Barnes</LastName>
<ForeName>Carrie E</ForeName>
<Initials>CE</Initials>
<AffiliationInfo>
<Affiliation>School of Public Health and Community Medicine, University of New South Wales, Sydney, Australia. Electronic address: carrie.barnes@dhhs.vic.gov.au.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y">
<LastName>MacIntyre</LastName>
<ForeName>C Raina</ForeName>
<Initials>CR</Initials>
<AffiliationInfo>
<Affiliation>The Kirby Institute, Sydney, Australia.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList>
<PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic">
<Year>2019</Year>
<Month>05</Month>
<Day>13</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo>
<Country>Canada</Country>
<MedlineTA>Int J Infect Dis</MedlineTA>
<NlmUniqueID>9610933</NlmUniqueID>
<ISSNLinking>1201-9712</ISSNLinking>
</MedlineJournalInfo>
<ChemicalList>
<Chemical>
<RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D000900">Anti-Bacterial Agents</NameOfSubstance>
</Chemical>
<Chemical>
<RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D007252">Influenza Vaccines</NameOfSubstance>
</Chemical>
<Chemical>
<RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D022242">Pneumococcal Vaccines</NameOfSubstance>
</Chemical>
</ChemicalList>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList>
<MeshHeading>
<DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D000900" MajorTopicYN="N">Anti-Bacterial Agents</DescriptorName>
<QualifierName UI="Q000494" MajorTopicYN="Y">pharmacology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D060085" MajorTopicYN="N">Coinfection</DescriptorName>
<QualifierName UI="Q000188" MajorTopicYN="N">drug therapy</QualifierName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
<QualifierName UI="Q000382" MajorTopicYN="N">microbiology</QualifierName>
<QualifierName UI="Q000401" MajorTopicYN="Y">mortality</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D024881" MajorTopicYN="Y">Drug Resistance, Bacterial</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D007252" MajorTopicYN="N">Influenza Vaccines</DescriptorName>
<QualifierName UI="Q000008" MajorTopicYN="N">administration & dosage</QualifierName>
<QualifierName UI="Q000009" MajorTopicYN="N">adverse effects</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName>
<QualifierName UI="Q000150" MajorTopicYN="Y">complications</QualifierName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
<QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</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>
<QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D022242" MajorTopicYN="N">Pneumococcal Vaccines</DescriptorName>
<QualifierName UI="Q000008" MajorTopicYN="N">administration & dosage</QualifierName>
<QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName>
<QualifierName UI="Q000276" MajorTopicYN="N">immunology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D011018" MajorTopicYN="N">Pneumonia, Pneumococcal</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
<QualifierName UI="Q000209" MajorTopicYN="N">etiology</QualifierName>
<QualifierName UI="Q000382" MajorTopicYN="N">microbiology</QualifierName>
<QualifierName UI="Q000401" MajorTopicYN="Y">mortality</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D013296" MajorTopicYN="N">Streptococcus pneumoniae</DescriptorName>
<QualifierName UI="Q000187" MajorTopicYN="Y">drug effects</QualifierName>
<QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName>
<QualifierName UI="Q000502" MajorTopicYN="N">physiology</QualifierName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D014611" MajorTopicYN="N">Vaccination</DescriptorName>
</MeshHeading>
<MeshHeading>
<DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM">
<Keyword MajorTopicYN="N">Antimicrobial resistance</Keyword>
<Keyword MajorTopicYN="N">Pandemic influenza</Keyword>
<Keyword MajorTopicYN="N">Secondary pneumococcal pneumonia</Keyword>
<Keyword MajorTopicYN="N">Streptococcus pneumoniae</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData>
<History>
<PubMedPubDate PubStatus="received">
<Year>2019</Year>
<Month>02</Month>
<Day>26</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="revised">
<Year>2019</Year>
<Month>05</Month>
<Day>01</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted">
<Year>2019</Year>
<Month>05</Month>
<Day>03</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed">
<Year>2019</Year>
<Month>5</Month>
<Day>17</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline">
<Year>2019</Year>
<Month>10</Month>
<Day>29</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez">
<Year>2019</Year>
<Month>5</Month>
<Day>17</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList>
<ArticleId IdType="pubmed">31096052</ArticleId>
<ArticleId IdType="pii">S1201-9712(19)30211-5</ArticleId>
<ArticleId IdType="doi">10.1016/j.ijid.2019.05.005</ArticleId>
</ArticleIdList>
</PubmedData>
</pubmed>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/PandemieGrippaleV1/Data/PubMed/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000136 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd -nk 000136 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    PandemieGrippaleV1
   |flux=    PubMed
   |étape=   Corpus
   |type=    RBID
   |clé=     pubmed:31096052
   |texte=   Risk modelling the mortality impact of antimicrobial resistance in secondary pneumococcal pneumonia infections during the 2009 influenza pandemic.
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Corpus/RBID.i   -Sk "pubmed:31096052" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Corpus/biblio.hfd   \
       | NlmPubMed2Wicri -a PandemieGrippaleV1 

Wicri

This area was generated with Dilib version V0.6.34.
Data generation: Wed Jun 10 11:04:28 2020. Site generation: Sun Mar 28 09:10:28 2021