Real-time estimation of the hospitalization fatality risk of influenza A(H1N1)pdm09 in Hong Kong.
Identifieur interne : 000470 ( PubMed/Checkpoint ); précédent : 000469; suivant : 000471Real-time estimation of the hospitalization fatality risk of influenza A(H1N1)pdm09 in Hong Kong.
Auteurs : J Y Wong [République populaire de Chine] ; P. Wu [République populaire de Chine] ; E H Y. Lau [République populaire de Chine] ; T K Tsang [République populaire de Chine] ; V J Fang [République populaire de Chine] ; L-M Ho [République populaire de Chine] ; B J Cowling [République populaire de Chine]Source :
- Epidemiology and infection [ 1469-4409 ] ; 2016.
Descripteurs français
- KwdFr :
- Adulte, Adulte d'âge moyen, Analyse de survie, Facteurs de l'âge, Femelle, Grippe humaine (mortalité), Grippe humaine (virologie), Grippe humaine (épidémiologie), Hong Kong (épidémiologie), Hospitalisation, Humains, Jeune adulte, Mâle, Sous-type H1N1 du virus de la grippe A (isolement et purification), Sujet âgé, Sujet âgé de 80 ans ou plus, Études rétrospectives, Évaluation des risques.
- MESH :
- isolement et purification : Sous-type H1N1 du virus de la grippe A.
- mortalité : Grippe humaine.
- virologie : Grippe humaine.
- épidémiologie : Grippe humaine, Hong Kong.
- Adulte, Adulte d'âge moyen, Analyse de survie, Facteurs de l'âge, Femelle, Hospitalisation, Humains, Jeune adulte, Mâle, Sujet âgé, Sujet âgé de 80 ans ou plus, Études rétrospectives, Évaluation des risques.
English descriptors
- KwdEn :
- Adult, Age Factors, Aged, Aged, 80 and over, Female, Hong Kong (epidemiology), Hospitalization, Humans, Influenza A Virus, H1N1 Subtype (isolation & purification), Influenza, Human (epidemiology), Influenza, Human (mortality), Influenza, Human (virology), Male, Middle Aged, Retrospective Studies, Risk Assessment, Survival Analysis, Young Adult.
- MESH :
- epidemiology : Hong Kong, Influenza, Human.
- isolation & purification : Influenza A Virus, H1N1 Subtype.
- mortality : Influenza, Human.
- virology : Influenza, Human.
- Adult, Age Factors, Aged, Aged, 80 and over, Female, Hospitalization, Humans, Male, Middle Aged, Retrospective Studies, Risk Assessment, Survival Analysis, Young Adult.
Abstract
During the early stage of an epidemic, timely and reliable estimation of the severity of infections are important for predicting the impact that the influenza viruses will have in the population. We obtained age-specific deaths and hospitalizations for patients with laboratory-confirmed H1N1pdm09 infections from June 2009 to December 2009 in Hong Kong. We retrospectively obtained the real-time estimates of the hospitalization fatality risk (HFR), using crude estimation or allowing for right-censoring for final status in some patients. Models accounting for right-censoring performed better than models without adjustments. The risk of deaths in hospitalized patients with confirmed H1N1pdm09 increased with age. Reliable estimates of the HFR could be obtained before the peak of the first wave of H1N1pdm09 in young and middle-aged adults but after the peak in the elderly. In the next influenza pandemic, timely estimation of the HFR will contribute to risk assessment and disease control.
DOI: 10.1017/S0950268815003179
PubMed: 27125572
Affiliations:
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Wu</name><affiliation wicri:level="1"><nlm:affiliation>School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region,China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region</wicri:regionArea><wicri:noRegion>Hong Kong Special Administrative Region</wicri:noRegion></affiliation></author><author><name sortKey="Lau, E H Y" sort="Lau, E H Y" uniqKey="Lau E" first="E H Y" last="Lau">E H Y. Lau</name><affiliation wicri:level="1"><nlm:affiliation>School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region,China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region</wicri:regionArea><wicri:noRegion>Hong Kong Special Administrative Region</wicri:noRegion></affiliation></author><author><name sortKey="Tsang, T K" sort="Tsang, T K" uniqKey="Tsang T" first="T K" last="Tsang">T K Tsang</name><affiliation wicri:level="1"><nlm:affiliation>School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region,China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region</wicri:regionArea><wicri:noRegion>Hong Kong Special Administrative Region</wicri:noRegion></affiliation></author><author><name sortKey="Fang, V J" sort="Fang, V J" uniqKey="Fang V" first="V J" last="Fang">V J Fang</name><affiliation wicri:level="1"><nlm:affiliation>School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region,China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region</wicri:regionArea><wicri:noRegion>Hong Kong Special Administrative Region</wicri:noRegion></affiliation></author><author><name sortKey="Ho, L M" sort="Ho, L M" uniqKey="Ho L" first="L-M" last="Ho">L-M Ho</name><affiliation wicri:level="1"><nlm:affiliation>School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region,China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region</wicri:regionArea><wicri:noRegion>Hong Kong Special Administrative Region</wicri:noRegion></affiliation></author><author><name sortKey="Cowling, B J" sort="Cowling, B J" uniqKey="Cowling B" first="B J" last="Cowling">B J Cowling</name><affiliation wicri:level="1"><nlm:affiliation>School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region,China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region</wicri:regionArea><wicri:noRegion>Hong Kong Special Administrative Region</wicri:noRegion></affiliation></author></analytic><series><title level="j">Epidemiology and infection</title><idno type="eISSN">1469-4409</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult</term><term>Age Factors</term><term>Aged</term><term>Aged, 80 and over</term><term>Female</term><term>Hong Kong (epidemiology)</term><term>Hospitalization</term><term>Humans</term><term>Influenza A Virus, H1N1 Subtype (isolation & purification)</term><term>Influenza, Human (epidemiology)</term><term>Influenza, Human (mortality)</term><term>Influenza, Human (virology)</term><term>Male</term><term>Middle Aged</term><term>Retrospective Studies</term><term>Risk Assessment</term><term>Survival Analysis</term><term>Young Adult</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte</term><term>Adulte d'âge moyen</term><term>Analyse de survie</term><term>Facteurs de l'âge</term><term>Femelle</term><term>Grippe humaine (mortalité)</term><term>Grippe humaine (virologie)</term><term>Grippe humaine (épidémiologie)</term><term>Hong Kong (épidémiologie)</term><term>Hospitalisation</term><term>Humains</term><term>Jeune adulte</term><term>Mâle</term><term>Sous-type H1N1 du virus de la grippe A (isolement et purification)</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term><term>Études rétrospectives</term><term>Évaluation des risques</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Hong Kong</term><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="isolation & purification" xml:lang="en"><term>Influenza A Virus, H1N1 Subtype</term></keywords><keywords scheme="MESH" qualifier="isolement et purification" xml:lang="fr"><term>Sous-type H1N1 du virus de la grippe A</term></keywords><keywords scheme="MESH" qualifier="mortality" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="mortalité" xml:lang="fr"><term>Grippe humaine</term></keywords><keywords scheme="MESH" qualifier="virologie" xml:lang="fr"><term>Grippe humaine</term></keywords><keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Grippe humaine</term><term>Hong Kong</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Age Factors</term><term>Aged</term><term>Aged, 80 and over</term><term>Female</term><term>Hospitalization</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Retrospective Studies</term><term>Risk Assessment</term><term>Survival Analysis</term><term>Young Adult</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte</term><term>Adulte d'âge moyen</term><term>Analyse de survie</term><term>Facteurs de l'âge</term><term>Femelle</term><term>Hospitalisation</term><term>Humains</term><term>Jeune adulte</term><term>Mâle</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term><term>Études rétrospectives</term><term>Évaluation des risques</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">During the early stage of an epidemic, timely and reliable estimation of the severity of infections are important for predicting the impact that the influenza viruses will have in the population. We obtained age-specific deaths and hospitalizations for patients with laboratory-confirmed H1N1pdm09 infections from June 2009 to December 2009 in Hong Kong. We retrospectively obtained the real-time estimates of the hospitalization fatality risk (HFR), using crude estimation or allowing for right-censoring for final status in some patients. Models accounting for right-censoring performed better than models without adjustments. The risk of deaths in hospitalized patients with confirmed H1N1pdm09 increased with age. Reliable estimates of the HFR could be obtained before the peak of the first wave of H1N1pdm09 in young and middle-aged adults but after the peak in the elderly. In the next influenza pandemic, timely estimation of the HFR will contribute to risk assessment and disease control.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">27125572</PMID><DateCompleted><Year>2017</Year><Month>06</Month><Day>13</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1469-4409</ISSN><JournalIssue CitedMedium="Internet"><Volume>144</Volume><Issue>8</Issue><PubDate><Year>2016</Year><Month>06</Month></PubDate></JournalIssue><Title>Epidemiology and infection</Title><ISOAbbreviation>Epidemiol. Infect.</ISOAbbreviation></Journal><ArticleTitle>Real-time estimation of the hospitalization fatality risk of influenza A(H1N1)pdm09 in Hong Kong.</ArticleTitle><Pagination><MedlinePgn>1579-83</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1017/S0950268815003179</ELocationID><Abstract><AbstractText>During the early stage of an epidemic, timely and reliable estimation of the severity of infections are important for predicting the impact that the influenza viruses will have in the population. We obtained age-specific deaths and hospitalizations for patients with laboratory-confirmed H1N1pdm09 infections from June 2009 to December 2009 in Hong Kong. We retrospectively obtained the real-time estimates of the hospitalization fatality risk (HFR), using crude estimation or allowing for right-censoring for final status in some patients. Models accounting for right-censoring performed better than models without adjustments. The risk of deaths in hospitalized patients with confirmed H1N1pdm09 increased with age. Reliable estimates of the HFR could be obtained before the peak of the first wave of H1N1pdm09 in young and middle-aged adults but after the peak in the elderly. In the next influenza pandemic, timely estimation of the HFR will contribute to risk assessment and disease control.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Wong</LastName><ForeName>J Y</ForeName><Initials>JY</Initials><AffiliationInfo><Affiliation>School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region,China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wu</LastName><ForeName>P</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region,China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lau</LastName><ForeName>E H Y</ForeName><Initials>EH</Initials><AffiliationInfo><Affiliation>School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region,China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Tsang</LastName><ForeName>T K</ForeName><Initials>TK</Initials><AffiliationInfo><Affiliation>School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region,China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Fang</LastName><ForeName>V J</ForeName><Initials>VJ</Initials><AffiliationInfo><Affiliation>School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region,China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ho</LastName><ForeName>L-M</ForeName><Initials>LM</Initials><AffiliationInfo><Affiliation>School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region,China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Cowling</LastName><ForeName>B J</ForeName><Initials>BJ</Initials><AffiliationInfo><Affiliation>School of Public Health,Li Ka Shing Faculty of Medicine,The University of Hong Kong,Hong Kong Special Administrative Region,China.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>U54 GM088558</GrantID><Acronym>GM</Acronym><Agency>NIGMS NIH HHS</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D052061">Research Support, N.I.H., Extramural</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Epidemiol Infect</MedlineTA><NlmUniqueID>8703737</NlmUniqueID><ISSNLinking>0950-2688</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000367" MajorTopicYN="N">Age Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006723" MajorTopicYN="N">Hong Kong</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006760" MajorTopicYN="Y">Hospitalization</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D053118" MajorTopicYN="N">Influenza A Virus, H1N1 Subtype</DescriptorName><QualifierName UI="Q000302" MajorTopicYN="Y">isolation & purification</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000401" MajorTopicYN="Y">mortality</QualifierName><QualifierName UI="Q000821" MajorTopicYN="Y">virology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012189" MajorTopicYN="N">Retrospective Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018570" MajorTopicYN="N">Risk Assessment</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016019" MajorTopicYN="N">Survival Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">Epidemiology</Keyword><Keyword MajorTopicYN="Y">influenza A</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2016</Year><Month>4</Month><Day>30</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2016</Year><Month>4</Month><Day>30</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2017</Year><Month>6</Month><Day>14</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">27125572</ArticleId><ArticleId IdType="pii">S0950268815003179</ArticleId><ArticleId IdType="doi">10.1017/S0950268815003179</ArticleId><ArticleId IdType="pmc">PMC5528870</ArticleId><ArticleId IdType="mid">NIHMS881045</ArticleId></ArticleIdList><ReferenceList><Reference><Citation>Am J Epidemiol. 2011 Dec 1;174(11):1307-15</Citation><ArticleIdList><ArticleId IdType="pubmed">22025354</ArticleId></ArticleIdList></Reference><Reference><Citation>BMJ. 2009 Jul 14;339:b2840</Citation><ArticleIdList><ArticleId IdType="pubmed">19602714</ArticleId></ArticleIdList></Reference><Reference><Citation>Arch Med Res. 2012 Oct;43(7):563-70</Citation><ArticleIdList><ArticleId IdType="pubmed">23079035</ArticleId></ArticleIdList></Reference><Reference><Citation>Lancet. 2013 Jul 13;382(9887):138-45</Citation><ArticleIdList><ArticleId IdType="pubmed">23803487</ArticleId></ArticleIdList></Reference><Reference><Citation>Epidemiology. 2010 Nov;21(6):842-6</Citation><ArticleIdList><ArticleId IdType="pubmed">20805752</ArticleId></ArticleIdList></Reference><Reference><Citation>PLoS Med. 2011 Oct;8(10):e1001103</Citation><ArticleIdList><ArticleId IdType="pubmed">21990967</ArticleId></ArticleIdList></Reference><Reference><Citation>Am J Epidemiol. 2005 Sep 1;162(5):479-86</Citation><ArticleIdList><ArticleId IdType="pubmed">16076827</ArticleId></ArticleIdList></Reference><Reference><Citation>Stat Med. 2007 Apr 30;26(9):1982-98</Citation><ArticleIdList><ArticleId IdType="pubmed">16981181</ArticleId></ArticleIdList></Reference><Reference><Citation>PLoS Med. 2011 Jun;8(6):e1000442</Citation><ArticleIdList><ArticleId IdType="pubmed">21713000</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>République populaire de Chine</li></country></list><tree><country name="République populaire de Chine"><noRegion><name sortKey="Wong, J Y" sort="Wong, J Y" uniqKey="Wong J" first="J Y" last="Wong">J Y Wong</name></noRegion><name sortKey="Cowling, B J" sort="Cowling, B J" uniqKey="Cowling B" first="B J" last="Cowling">B J Cowling</name><name sortKey="Fang, V J" sort="Fang, V J" uniqKey="Fang V" first="V J" last="Fang">V J Fang</name><name sortKey="Ho, L M" sort="Ho, L M" uniqKey="Ho L" first="L-M" last="Ho">L-M Ho</name><name sortKey="Lau, E H Y" sort="Lau, E H Y" uniqKey="Lau E" first="E H Y" last="Lau">E H Y. Lau</name><name sortKey="Tsang, T K" sort="Tsang, T K" uniqKey="Tsang T" first="T K" last="Tsang">T K Tsang</name><name sortKey="Wu, P" sort="Wu, P" uniqKey="Wu P" first="P" last="Wu">P. Wu</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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