PandemieGrippaleV1, Main, Exploration, bibRecord, 000452

Using Clinical Research Networks to Assess Severity of an Emerging Influenza Pandemic

Identifieur interne : 000452 ( Main/Exploration ); précédent : 000451; suivant : 000453

Using Clinical Research Networks to Assess Severity of an Emerging Influenza Pandemic

Auteurs : Lone Simonsen [Danemark] ; Elizabeth Higgs [États-Unis] ; Robert J. Taylor [États-Unis] ; Deborah Wentworth ; Al Cozzi-Lepri [Royaume-Uni] ; Sarah Pett [Royaume-Uni, Australie] ; Dominic E. Dwyer [Australie] ; Richard Davey [États-Unis] ; Ruth Lynfield ; Marcelo Losso [Argentine] ; Kathleen Morales [États-Unis] ; Marshall J. Glesby [États-Unis] ; Jozef Weckx [Belgique] ; Dianne Carey [Australie] ; Cliff Lane [États-Unis] ; Jens Lundgren [Danemark]

Source :

Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America [ 1058-4838 ] ; 2018.

RBID : PMC:6248856

Descripteurs français

KwdFr :
- Adolescent, Adulte, Adulte d'âge moyen, Comportement en matière de santé, Grippe humaine (mortalité), Hospitalisation (), Humains, Indice de gravité médicale, Jeune adulte, Pandémies, Saisons, Sujet âgé, Sujet âgé de 80 ans ou plus, Études rétrospectives.
MESH :
- mortalité : Grippe humaine.
- Adolescent, Adulte, Adulte d'âge moyen, Comportement en matière de santé, Hospitalisation, Humains, Indice de gravité médicale, Jeune adulte, Pandémies, Saisons, Sujet âgé, Sujet âgé de 80 ans ou plus, Études rétrospectives.

English descriptors

KwdEn :
- Adolescent, Adult, Aged, Aged, 80 and over, Health Behavior, Hospitalization (statistics & numerical data), Humans, Influenza, Human (mortality), Middle Aged, Pandemics, Retrospective Studies, Seasons, Severity of Illness Index, Young Adult.
MESH :
- mortality : Influenza, Human.
- statistics & numerical data : Hospitalization.
- Adolescent, Adult, Aged, Aged, 80 and over, Health Behavior, Humans, Middle Aged, Pandemics, Retrospective Studies, Seasons, Severity of Illness Index, Young Adult.

Abstract

AbstractBackground

Early clinical severity assessments during the 2009 influenza A H1N1 pandemic (pH1N1) overestimated clinical severity due to selection bias and other factors. We retrospectively investigated how to use data from the International Network for Strategic Initiatives in Global HIV Trials, a global clinical influenza research network, to make more accurate case fatality ratio (CFR) estimates early in a future pandemic, an essential part of pandemic response.

Methods

We estimated the CFR of medically attended influenza (CFR_MA) as the product of probability of hospitalization given confirmed outpatient influenza and the probability of death given hospitalization with confirmed influenza for the pandemic (2009–2011) and post-pandemic (2012–2015) periods. We used literature survey results on health-seeking behavior to convert that estimate to CFR among all infected persons (CFR_AR).

Results

During the pandemic period, 5.0% (3.1%–6.9%) of 561 pH1N1-positive outpatients were hospitalized. Of 282 pH1N1-positive inpatients, 8.5% (5.7%–12.6%) died. CFR_MAfor pH1N1 was 0.4% (0.2%–0.6%) in the pandemic period 2009–2011 but declined 5-fold in young adults during the post-pandemic period compared to the level of seasonal influenza in the post-pandemic period 2012–2015. CFR for influenza-negative patients did not change over time. We estimated the 2009 pandemic CFR_AR to be 0.025%, 16-fold lower than CFR_MA.

Conclusions

Data from a clinical research network yielded accurate pandemic severity estimates, including increased severity among younger people. Going forward, clinical research networks with a global presence and standardized protocols would substantially aid rapid assessment of clinical severity.

Clinical Trials Registration

NCT01056354 and NCT010561.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6248856

DOI: 10.1093/cid/ciy088
PubMed: 29746631
PubMed Central: 6248856

Affiliations:

Le document en format XML

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<author><name sortKey="Lane, Cliff" sort="Lane, Cliff" uniqKey="Lane C" first="Cliff" last="Lane">Cliff Lane</name>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent</term>
<term>Adult</term>
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<term>Aged, 80 and over</term>
<term>Health Behavior</term>
<term>Hospitalization (statistics & numerical data)</term>
<term>Humans</term>
<term>Influenza, Human (mortality)</term>
<term>Middle Aged</term>
<term>Pandemics</term>
<term>Retrospective Studies</term>
<term>Seasons</term>
<term>Severity of Illness Index</term>
<term>Young Adult</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent</term>
<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Comportement en matière de santé</term>
<term>Grippe humaine (mortalité)</term>
<term>Hospitalisation ()</term>
<term>Humains</term>
<term>Indice de gravité médicale</term>
<term>Jeune adulte</term>
<term>Pandémies</term>
<term>Saisons</term>
<term>Sujet âgé</term>
<term>Sujet âgé de 80 ans ou plus</term>
<term>Études rétrospectives</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="statistics & numerical data" xml:lang="en"><term>Hospitalization</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Adolescent</term>
<term>Adult</term>
<term>Aged</term>
<term>Aged, 80 and over</term>
<term>Health Behavior</term>
<term>Humans</term>
<term>Middle Aged</term>
<term>Pandemics</term>
<term>Retrospective Studies</term>
<term>Seasons</term>
<term>Severity of Illness Index</term>
<term>Young Adult</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term>
<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Comportement en matière de santé</term>
<term>Hospitalisation</term>
<term>Humains</term>
<term>Indice de gravité médicale</term>
<term>Jeune adulte</term>
<term>Pandémies</term>
<term>Saisons</term>
<term>Sujet âgé</term>
<term>Sujet âgé de 80 ans ou plus</term>
<term>Études rétrospectives</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en"><title>Abstract</title>
<sec id="s1"><title>Background</title>
<p>Early clinical severity assessments during the 2009 influenza A H1N1 pandemic (pH1N1)
overestimated clinical severity due to selection bias and other factors. We
retrospectively investigated how to use data from the International Network for
Strategic Initiatives in Global HIV Trials, a global clinical influenza research
network, to make more accurate case fatality ratio (CFR) estimates early in a future
pandemic, an essential part of pandemic response.</p>
</sec>
<sec id="s2"><title>Methods</title>
<p>We estimated the CFR of medically attended influenza (CFR<sub>MA</sub>) as the product
of probability of hospitalization given confirmed outpatient influenza and the
probability of death given hospitalization with confirmed influenza for the pandemic
(2009–2011) and post-pandemic (2012–2015) periods. We used literature survey results on
health-seeking behavior to convert that estimate to CFR among all infected persons
(CFR<sub>AR</sub>
).</p>
</sec>
<sec id="s3"><title>Results</title>
<p>During the pandemic period, 5.0% (3.1%–6.9%) of 561 pH1N1-positive outpatients were
hospitalized. Of 282 pH1N1-positive inpatients, 8.5% (5.7%–12.6%) died. CFR<sub>MA</sub>for pH1N1 was 0.4% (0.2%–0.6%) in the pandemic period 2009–2011 but declined 5-fold in
young adults during the post-pandemic period compared to the level of seasonal influenza
in the post-pandemic period 2012–2015. CFR for influenza-negative patients did not
change over time. We estimated the 2009 pandemic CFR<sub>AR</sub> to be 0.025%, 16-fold
lower than CFR<sub>MA</sub>
.</p>
</sec>
<sec id="s4"><title>Conclusions</title>
<p>Data from a clinical research network yielded accurate pandemic severity estimates,
including increased severity among younger people. Going forward, clinical research
networks with a global presence and standardized protocols would substantially aid rapid
assessment of clinical severity.</p>
</sec>
<sec id="s5"><title>Clinical Trials Registration</title>
<p>NCT01056354 and NCT010561.</p>
</sec>
</div>
</front>
</TEI>
<affiliations><list><country><li>Argentine</li>
<li>Australie</li>
<li>Belgique</li>
<li>Danemark</li>
<li>Royaume-Uni</li>
<li>États-Unis</li>
</country>
<region><li>Angleterre</li>
<li>Grand Londres</li>
<li>Maryland</li>
<li>Nouvelle-Galles du Sud</li>
<li>État de New York</li>
</region>
<settlement><li>Londres</li>
<li>Sydney</li>
</settlement>
<orgName><li>Université de Sydney</li>
</orgName>
</list>
<tree><noCountry><name sortKey="Lynfield, Ruth" sort="Lynfield, Ruth" uniqKey="Lynfield R" first="Ruth" last="Lynfield">Ruth Lynfield</name>
<name sortKey="Wentworth, Deborah" sort="Wentworth, Deborah" uniqKey="Wentworth D" first="Deborah" last="Wentworth">Deborah Wentworth</name>
</noCountry>
<country name="Danemark"><noRegion><name sortKey="Simonsen, Lone" sort="Simonsen, Lone" uniqKey="Simonsen L" first="Lone" last="Simonsen">Lone Simonsen</name>
</noRegion>
<name sortKey="Lundgren, Jens" sort="Lundgren, Jens" uniqKey="Lundgren J" first="Jens" last="Lundgren">Jens Lundgren</name>
<name sortKey="Simonsen, Lone" sort="Simonsen, Lone" uniqKey="Simonsen L" first="Lone" last="Simonsen">Lone Simonsen</name>
</country>
<country name="États-Unis"><region name="Maryland"><name sortKey="Higgs, Elizabeth" sort="Higgs, Elizabeth" uniqKey="Higgs E" first="Elizabeth" last="Higgs">Elizabeth Higgs</name>
</region>
<name sortKey="Davey, Richard" sort="Davey, Richard" uniqKey="Davey R" first="Richard" last="Davey">Richard Davey</name>
<name sortKey="Glesby, Marshall J" sort="Glesby, Marshall J" uniqKey="Glesby M" first="Marshall J" last="Glesby">Marshall J. Glesby</name>
<name sortKey="Lane, Cliff" sort="Lane, Cliff" uniqKey="Lane C" first="Cliff" last="Lane">Cliff Lane</name>
<name sortKey="Morales, Kathleen" sort="Morales, Kathleen" uniqKey="Morales K" first="Kathleen" last="Morales">Kathleen Morales</name>
<name sortKey="Taylor, Robert J" sort="Taylor, Robert J" uniqKey="Taylor R" first="Robert J" last="Taylor">Robert J. Taylor</name>
</country>
<country name="Royaume-Uni"><region name="Angleterre"><name sortKey="Cozzi Lepri, Al" sort="Cozzi Lepri, Al" uniqKey="Cozzi Lepri A" first="Al" last="Cozzi-Lepri">Al Cozzi-Lepri</name>
</region>
<name sortKey="Pett, Sarah" sort="Pett, Sarah" uniqKey="Pett S" first="Sarah" last="Pett">Sarah Pett</name>
</country>
<country name="Australie"><noRegion><name sortKey="Pett, Sarah" sort="Pett, Sarah" uniqKey="Pett S" first="Sarah" last="Pett">Sarah Pett</name>
</noRegion>
<name sortKey="Carey, Dianne" sort="Carey, Dianne" uniqKey="Carey D" first="Dianne" last="Carey">Dianne Carey</name>
<name sortKey="Dwyer, Dominic E" sort="Dwyer, Dominic E" uniqKey="Dwyer D" first="Dominic E" last="Dwyer">Dominic E. Dwyer</name>
</country>
<country name="Argentine"><noRegion><name sortKey="Losso, Marcelo" sort="Losso, Marcelo" uniqKey="Losso M" first="Marcelo" last="Losso">Marcelo Losso</name>
</noRegion>
</country>
<country name="Belgique"><noRegion><name sortKey="Weckx, Jozef" sort="Weckx, Jozef" uniqKey="Weckx J" first="Jozef" last="Weckx">Jozef Weckx</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>

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Serveur d'exploration sur les pandémies grippales

Using Clinical Research Networks to Assess Severity of an Emerging Influenza Pandemic

Using Clinical Research Networks to Assess Severity of an Emerging Influenza Pandemic

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