Real-time estimation of the hospitalization fatality risk of influenza A(H1N1)pdm09 in Hong Kong
Identifieur interne : 000845 ( Main/Exploration ); précédent : 000844; suivant : 000846Real-time estimation of the hospitalization fatality risk of influenza A(H1N1)pdm09 in Hong Kong
Auteurs : Jessica Y. Wong [République populaire de Chine] ; Peng Wu [République populaire de Chine] ; Eric H. Y. Lau [République populaire de Chine] ; Tim K. Tsang [République populaire de Chine] ; Vicky J. Fang [République populaire de Chine] ; Lai-Ming Ho [République populaire de Chine] ; Benjamin J. Cowling [République populaire de Chine]Source :
- Epidemiology and infection [ 0950-2688 ] ; 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 are important for predicting the impact that the influenza viruses will have in the population. We obtained age-specific deaths and hospitalizations among patients with laboratory-confirmed H1N1pdm09 infections from June 2009 through December 2009 in Hong Kong. We retrospectively obtained the real-time estimates of the hospitalization fatality risk, 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 among 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 hospitalization fatality risk will contribute to risk assessment and disease control.
Url:
DOI: 10.1017/S0950268815003179
PubMed: 27125572
PubMed Central: 5528870
Affiliations:
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Wong</name><affiliation wicri:level="1"><nlm:aff id="A1">School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China</nlm:aff><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="Wu, Peng" sort="Wu, Peng" uniqKey="Wu P" first="Peng" last="Wu">Peng Wu</name><affiliation wicri:level="1"><nlm:aff id="A1">School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China</nlm:aff><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, Eric H Y" sort="Lau, Eric H Y" uniqKey="Lau E" first="Eric H. Y." last="Lau">Eric H. Y. Lau</name><affiliation wicri:level="1"><nlm:aff id="A1">School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China</nlm:aff><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, Tim K" sort="Tsang, Tim K" uniqKey="Tsang T" first="Tim K." last="Tsang">Tim K. Tsang</name><affiliation wicri:level="1"><nlm:aff id="A1">School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China</nlm:aff><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, Vicky J" sort="Fang, Vicky J" uniqKey="Fang V" first="Vicky J." last="Fang">Vicky J. Fang</name><affiliation wicri:level="1"><nlm:aff id="A1">School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China</nlm:aff><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, Lai Ming" sort="Ho, Lai Ming" uniqKey="Ho L" first="Lai-Ming" last="Ho">Lai-Ming Ho</name><affiliation wicri:level="1"><nlm:aff id="A1">School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China</nlm:aff><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, Benjamin J" sort="Cowling, Benjamin J" uniqKey="Cowling B" first="Benjamin J." last="Cowling">Benjamin J. Cowling</name><affiliation wicri:level="1"><nlm:aff id="A1">School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China</nlm:aff><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="ISSN">0950-2688</idno><idno type="eISSN">1469-4409</idno><imprint><date when="2016">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"><title>SUMMARY</title><p id="P1">During the early stage of an epidemic, timely and reliable estimation of the severity are important for predicting the impact that the influenza viruses will have in the population. We obtained age-specific deaths and hospitalizations among patients with laboratory-confirmed H1N1pdm09 infections from June 2009 through December 2009 in Hong Kong. We retrospectively obtained the real-time estimates of the hospitalization fatality risk, 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 among 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 hospitalization fatality risk will contribute to risk assessment and disease control.</p></div></front></TEI><affiliations><list><country><li>République populaire de Chine</li></country></list><tree><country name="République populaire de Chine"><noRegion><name sortKey="Wong, Jessica Y" sort="Wong, Jessica Y" uniqKey="Wong J" first="Jessica Y." last="Wong">Jessica Y. Wong</name></noRegion><name sortKey="Cowling, Benjamin J" sort="Cowling, Benjamin J" uniqKey="Cowling B" first="Benjamin J." last="Cowling">Benjamin J. Cowling</name><name sortKey="Fang, Vicky J" sort="Fang, Vicky J" uniqKey="Fang V" first="Vicky J." last="Fang">Vicky J. Fang</name><name sortKey="Ho, Lai Ming" sort="Ho, Lai Ming" uniqKey="Ho L" first="Lai-Ming" last="Ho">Lai-Ming Ho</name><name sortKey="Lau, Eric H Y" sort="Lau, Eric H Y" uniqKey="Lau E" first="Eric H. Y." last="Lau">Eric H. Y. Lau</name><name sortKey="Tsang, Tim K" sort="Tsang, Tim K" uniqKey="Tsang T" first="Tim K." last="Tsang">Tim K. Tsang</name><name sortKey="Wu, Peng" sort="Wu, Peng" uniqKey="Wu P" first="Peng" last="Wu">Peng Wu</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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