Hospitalization Fatality Risk of Influenza A(H1N1)pdm09: A Systematic Review and Meta-Analysis.
Identifieur interne : 000630 ( PubMed/Corpus ); précédent : 000629; suivant : 000631Hospitalization Fatality Risk of Influenza A(H1N1)pdm09: A Systematic Review and Meta-Analysis.
Auteurs : Jessica Y. Wong ; Heath Kelly ; Chung-Mei M. Cheung ; Eunice Y. Shiu ; Peng Wu ; Michael Y. Ni ; Dennis K M. Ip ; Benjamin J. CowlingSource :
- American journal of epidemiology [ 1476-6256 ] ; 2015.
English descriptors
- KwdEn :
- Adolescent, Adult, Age Distribution, Aged, Child, Databases, Bibliographic, Global Health (statistics & numerical data), Hospital Mortality, Humans, Influenza A Virus, H1N1 Subtype, Influenza, Human (epidemiology), Influenza, Human (mortality), Influenza, Human (virology), Middle Aged, Pandemics, Risk Assessment, Severity of Illness Index, Young Adult.
- MESH :
- epidemiology : Influenza, Human.
- mortality : Influenza, Human.
- statistics & numerical data : Global Health.
- virology : Influenza, Human.
- Adolescent, Adult, Age Distribution, Aged, Child, Databases, Bibliographic, Hospital Mortality, Humans, Influenza A Virus, H1N1 Subtype, Middle Aged, Pandemics, Risk Assessment, Severity of Illness Index, Young Adult.
Abstract
During the 2009 influenza pandemic, uncertainty surrounding the severity of human infections with the influenza A(H1N1)pdm09 virus hindered the calibration of the early public health response. The case fatality risk was widely used to assess severity, but another underexplored and potentially more immediate measure is the hospitalization fatality risk (HFR), defined as the probability of death among H1N1pdm09 cases who required hospitalization for medical reasons. In this review, we searched for relevant studies published in MEDLINE (PubMed) and EMBASE between April 1, 2009, and January 9, 2014. Crude estimates of the HFR ranged from 0% to 52%, with higher estimates from tertiary-care referral hospitals in countries with a lower gross domestic product, but in wealthy countries the estimate was 1%-3% in all settings. Point estimates increased substantially with age and with lower gross domestic product. Early in the next pandemic, estimation of a standardized HFR may provide a picture of the severity of infection, particularly if it is presented in comparison with a similarly standardized HFR for seasonal influenza in the same setting.
DOI: 10.1093/aje/kwv054
PubMed: 26188191
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pubmed:26188191Le document en format XML
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Ni</name></author><author><name sortKey="Ip, Dennis K M" sort="Ip, Dennis K M" uniqKey="Ip D" first="Dennis K M" last="Ip">Dennis K M. Ip</name></author><author><name sortKey="Cowling, Benjamin J" sort="Cowling, Benjamin J" uniqKey="Cowling B" first="Benjamin J" last="Cowling">Benjamin J. Cowling</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2015">2015</date><idno type="RBID">pubmed:26188191</idno><idno type="pmid">26188191</idno><idno type="doi">10.1093/aje/kwv054</idno><idno type="wicri:Area/PubMed/Corpus">000630</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000630</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Hospitalization Fatality Risk of Influenza A(H1N1)pdm09: A Systematic Review and Meta-Analysis.</title><author><name sortKey="Wong, Jessica Y" sort="Wong, Jessica Y" uniqKey="Wong J" first="Jessica Y" last="Wong">Jessica Y. Wong</name></author><author><name sortKey="Kelly, Heath" sort="Kelly, Heath" uniqKey="Kelly H" first="Heath" last="Kelly">Heath Kelly</name></author><author><name sortKey="Cheung, Chung Mei M" sort="Cheung, Chung Mei M" uniqKey="Cheung C" first="Chung-Mei M" last="Cheung">Chung-Mei M. Cheung</name></author><author><name sortKey="Shiu, Eunice Y" sort="Shiu, Eunice Y" uniqKey="Shiu E" first="Eunice Y" last="Shiu">Eunice Y. Shiu</name></author><author><name sortKey="Wu, Peng" sort="Wu, Peng" uniqKey="Wu P" first="Peng" last="Wu">Peng Wu</name></author><author><name sortKey="Ni, Michael Y" sort="Ni, Michael Y" uniqKey="Ni M" first="Michael Y" last="Ni">Michael Y. Ni</name></author><author><name sortKey="Ip, Dennis K M" sort="Ip, Dennis K M" uniqKey="Ip D" first="Dennis K M" last="Ip">Dennis K M. Ip</name></author><author><name sortKey="Cowling, Benjamin J" sort="Cowling, Benjamin J" uniqKey="Cowling B" first="Benjamin J" last="Cowling">Benjamin J. Cowling</name></author></analytic><series><title level="j">American journal of epidemiology</title><idno type="eISSN">1476-6256</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Age Distribution</term><term>Aged</term><term>Child</term><term>Databases, Bibliographic</term><term>Global Health (statistics & numerical data)</term><term>Hospital Mortality</term><term>Humans</term><term>Influenza A Virus, H1N1 Subtype</term><term>Influenza, Human (epidemiology)</term><term>Influenza, Human (mortality)</term><term>Influenza, Human (virology)</term><term>Middle Aged</term><term>Pandemics</term><term>Risk Assessment</term><term>Severity of Illness Index</term><term>Young Adult</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="mortality" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Global Health</term></keywords><keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Age Distribution</term><term>Aged</term><term>Child</term><term>Databases, Bibliographic</term><term>Hospital Mortality</term><term>Humans</term><term>Influenza A Virus, H1N1 Subtype</term><term>Middle Aged</term><term>Pandemics</term><term>Risk Assessment</term><term>Severity of Illness Index</term><term>Young Adult</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">During the 2009 influenza pandemic, uncertainty surrounding the severity of human infections with the influenza A(H1N1)pdm09 virus hindered the calibration of the early public health response. The case fatality risk was widely used to assess severity, but another underexplored and potentially more immediate measure is the hospitalization fatality risk (HFR), defined as the probability of death among H1N1pdm09 cases who required hospitalization for medical reasons. In this review, we searched for relevant studies published in MEDLINE (PubMed) and EMBASE between April 1, 2009, and January 9, 2014. Crude estimates of the HFR ranged from 0% to 52%, with higher estimates from tertiary-care referral hospitals in countries with a lower gross domestic product, but in wealthy countries the estimate was 1%-3% in all settings. Point estimates increased substantially with age and with lower gross domestic product. Early in the next pandemic, estimation of a standardized HFR may provide a picture of the severity of infection, particularly if it is presented in comparison with a similarly standardized HFR for seasonal influenza in the same setting. </div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">26188191</PMID><DateCompleted><Year>2015</Year><Month>10</Month><Day>26</Day></DateCompleted><DateRevised><Year>2018</Year><Month>12</Month><Day>02</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1476-6256</ISSN><JournalIssue CitedMedium="Internet"><Volume>182</Volume><Issue>4</Issue><PubDate><Year>2015</Year><Month>Aug</Month><Day>15</Day></PubDate></JournalIssue><Title>American journal of epidemiology</Title><ISOAbbreviation>Am. J. Epidemiol.</ISOAbbreviation></Journal><ArticleTitle>Hospitalization Fatality Risk of Influenza A(H1N1)pdm09: A Systematic Review and Meta-Analysis.</ArticleTitle><Pagination><MedlinePgn>294-301</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1093/aje/kwv054</ELocationID><Abstract><AbstractText>During the 2009 influenza pandemic, uncertainty surrounding the severity of human infections with the influenza A(H1N1)pdm09 virus hindered the calibration of the early public health response. The case fatality risk was widely used to assess severity, but another underexplored and potentially more immediate measure is the hospitalization fatality risk (HFR), defined as the probability of death among H1N1pdm09 cases who required hospitalization for medical reasons. In this review, we searched for relevant studies published in MEDLINE (PubMed) and EMBASE between April 1, 2009, and January 9, 2014. Crude estimates of the HFR ranged from 0% to 52%, with higher estimates from tertiary-care referral hospitals in countries with a lower gross domestic product, but in wealthy countries the estimate was 1%-3% in all settings. Point estimates increased substantially with age and with lower gross domestic product. Early in the next pandemic, estimation of a standardized HFR may provide a picture of the severity of infection, particularly if it is presented in comparison with a similarly standardized HFR for seasonal influenza in the same setting. </AbstractText><CopyrightInformation>© The Author 2015. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Wong</LastName><ForeName>Jessica Y</ForeName><Initials>JY</Initials></Author><Author ValidYN="Y"><LastName>Kelly</LastName><ForeName>Heath</ForeName><Initials>H</Initials></Author><Author ValidYN="Y"><LastName>Cheung</LastName><ForeName>Chung-Mei M</ForeName><Initials>CM</Initials></Author><Author ValidYN="Y"><LastName>Shiu</LastName><ForeName>Eunice Y</ForeName><Initials>EY</Initials></Author><Author ValidYN="Y"><LastName>Wu</LastName><ForeName>Peng</ForeName><Initials>P</Initials></Author><Author ValidYN="Y"><LastName>Ni</LastName><ForeName>Michael Y</ForeName><Initials>MY</Initials></Author><Author ValidYN="Y"><LastName>Ip</LastName><ForeName>Dennis K M</ForeName><Initials>DK</Initials></Author><Author ValidYN="Y"><LastName>Cowling</LastName><ForeName>Benjamin J</ForeName><Initials>BJ</Initials></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="D017418">Meta-Analysis</PublicationType><PublicationType UI="D052061">Research Support, N.I.H., Extramural</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType><PublicationType UI="D016454">Review</PublicationType><PublicationType UI="D000078182">Systematic Review</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2015</Year><Month>07</Month><Day>18</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Am J 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