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Hospitalization of influenza-like illness patients recommended by general practitioners in France between 1997 and 2010.

Identifieur interne : 000131 ( France/Analysis ); précédent : 000130; suivant : 000132

Hospitalization of influenza-like illness patients recommended by general practitioners in France between 1997 and 2010.

Auteurs : Camille Pelat [France] ; Andrea Lasserre [France] ; Ana Xavier [France] ; Clément Turbelin [France] ; Thierry Blanchon [France] ; Thomas Hanslik [France]

Source :

RBID : Hal:inserm-00709172

English descriptors

Abstract

BACKGROUND: The case-hospitalization ratio (CHR) is a key quantity for the management of emerging pathogens such as pandemic influenza. Yet, few running surveillance systems prospectively monitor the CHR during influenza epidemics. Here, we analyze the proportion of recommended hospitalizations (PRH) among influenza-like illness (ILI) patients attended in general practice in France and compare the PRH observed during the 2009-2010 A(H1N1) pandemic with the one of the twelve previous seasons. METHODS: ILI cases were recorded by general practitioners (GPs) involved in surveillance, who indicated for each case whether they recommended hospitalization. We stratify the analysis by age, sex, and viral subtype. We investigate the reasons why GPs recommended hospitalization and the presence of risk factors for pandemic A(H1N1) complications. RESULTS: The average PRH over the seasons 1997-1998 to 2008-2009 was 3*4‰ (3-3*9). It was three times higher during the 2009-2010 pandemic than during seasonal influenza epidemics (OR = 2*89, 95% CI: 2*28-3*64). The highest increase was among 20-39-year-old women: OR = 11*8 (5*04-29*59). Overall, the principal reasons for recommending hospitalization were "respiratory problems" and "bad general condition." However, during the pandemic, "age" (mainly associated with infants), "pregnancy," and "diagnostic" became more frequent than before (P < 0*001). Finally, pregnancy was the reported risk factor for pandemic A(H1N1) complications that had the largest impact on hospitalization recommendation during the pandemic (OR = 38*62, P < 0*001). CONCLUSION: Easily implemented in surveillance systems, this protocol has the potential to reveal changes in hospitalization recommendation by GPs. Moreover, if the right data are collected alongside, it could give timely insights into epidemic severity.


Url:
DOI: 10.1111/j.1750-2659.2012.00356.x


Affiliations:


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Hal:inserm-00709172

Le document en format XML

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<name sortKey="Blanchon, Thierry" sort="Blanchon, Thierry" uniqKey="Blanchon T" first="Thierry" last="Blanchon">Thierry Blanchon</name>
<affiliation wicri:level="1">
<hal:affiliation type="laboratory" xml:id="struct-3065" status="OLD">
<orgName>Epidémiologie des maladies infectieuses et modélisation</orgName>
<orgName type="acronym">ESIM</orgName>
<desc>
<address>
<addrLine>Faculte de Médecine Saint-Antoine 27, Rue Chaligny 75571 Paris Cedex 12</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.u707.jussieu.fr</ref>
</desc>
<listRelation>
<relation active="#struct-93591" type="direct"></relation>
<relation name="U707" active="#struct-303623" type="direct"></relation>
</listRelation>
<tutelles>
<tutelle active="#struct-93591" type="direct">
<org type="institution" xml:id="struct-93591" status="OLD">
<orgName>Université Pierre et Marie Curie - Paris 6</orgName>
<orgName type="acronym">UPMC</orgName>
<date type="end">2017-12-31</date>
<desc>
<address>
<addrLine>4 place Jussieu - 75005 Paris</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.upmc.fr/</ref>
</desc>
</org>
</tutelle>
<tutelle name="U707" active="#struct-303623" type="direct">
<org type="institution" xml:id="struct-303623" status="VALID">
<idno type="IdRef">026388278</idno>
<orgName>Institut National de la Santé et de la Recherche Médicale</orgName>
<orgName type="acronym">INSERM</orgName>
<desc>
<address>
<addrLine>101, rue de Tolbiac, 75013 Paris </addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.inserm.fr</ref>
</desc>
</org>
</tutelle>
</tutelles>
</hal:affiliation>
<country>France</country>
</affiliation>
</author>
<author>
<name sortKey="Hanslik, Thomas" sort="Hanslik, Thomas" uniqKey="Hanslik T" first="Thomas" last="Hanslik">Thomas Hanslik</name>
<affiliation wicri:level="1">
<hal:affiliation type="laboratory" xml:id="struct-3065" status="OLD">
<orgName>Epidémiologie des maladies infectieuses et modélisation</orgName>
<orgName type="acronym">ESIM</orgName>
<desc>
<address>
<addrLine>Faculte de Médecine Saint-Antoine 27, Rue Chaligny 75571 Paris Cedex 12</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.u707.jussieu.fr</ref>
</desc>
<listRelation>
<relation active="#struct-93591" type="direct"></relation>
<relation name="U707" active="#struct-303623" type="direct"></relation>
</listRelation>
<tutelles>
<tutelle active="#struct-93591" type="direct">
<org type="institution" xml:id="struct-93591" status="OLD">
<orgName>Université Pierre et Marie Curie - Paris 6</orgName>
<orgName type="acronym">UPMC</orgName>
<date type="end">2017-12-31</date>
<desc>
<address>
<addrLine>4 place Jussieu - 75005 Paris</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.upmc.fr/</ref>
</desc>
</org>
</tutelle>
<tutelle name="U707" active="#struct-303623" type="direct">
<org type="institution" xml:id="struct-303623" status="VALID">
<idno type="IdRef">026388278</idno>
<orgName>Institut National de la Santé et de la Recherche Médicale</orgName>
<orgName type="acronym">INSERM</orgName>
<desc>
<address>
<addrLine>101, rue de Tolbiac, 75013 Paris </addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.inserm.fr</ref>
</desc>
</org>
</tutelle>
</tutelles>
</hal:affiliation>
<country>France</country>
</affiliation>
</author>
</analytic>
<idno type="DOI">10.1111/j.1750-2659.2012.00356.x</idno>
<series>
<title level="j">Influenza and Other Respiratory Viruses</title>
<idno type="ISSN">1750-2640</idno>
<imprint>
<date type="datePub">2013-01</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass>
<keywords scheme="mix" xml:lang="en">
<term>case-hospitalization ratio</term>
<term>emerging pathogens</term>
<term>influenza pandemics</term>
<term>severity</term>
<term>severity.</term>
<term>surveillance</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<p>BACKGROUND: The case-hospitalization ratio (CHR) is a key quantity for the management of emerging pathogens such as pandemic influenza. Yet, few running surveillance systems prospectively monitor the CHR during influenza epidemics. Here, we analyze the proportion of recommended hospitalizations (PRH) among influenza-like illness (ILI) patients attended in general practice in France and compare the PRH observed during the 2009-2010 A(H1N1) pandemic with the one of the twelve previous seasons. METHODS: ILI cases were recorded by general practitioners (GPs) involved in surveillance, who indicated for each case whether they recommended hospitalization. We stratify the analysis by age, sex, and viral subtype. We investigate the reasons why GPs recommended hospitalization and the presence of risk factors for pandemic A(H1N1) complications. RESULTS: The average PRH over the seasons 1997-1998 to 2008-2009 was 3*4‰ (3-3*9). It was three times higher during the 2009-2010 pandemic than during seasonal influenza epidemics (OR = 2*89, 95% CI: 2*28-3*64). The highest increase was among 20-39-year-old women: OR = 11*8 (5*04-29*59). Overall, the principal reasons for recommending hospitalization were "respiratory problems" and "bad general condition." However, during the pandemic, "age" (mainly associated with infants), "pregnancy," and "diagnostic" became more frequent than before (P < 0*001). Finally, pregnancy was the reported risk factor for pandemic A(H1N1) complications that had the largest impact on hospitalization recommendation during the pandemic (OR = 38*62, P < 0*001). CONCLUSION: Easily implemented in surveillance systems, this protocol has the potential to reveal changes in hospitalization recommendation by GPs. Moreover, if the right data are collected alongside, it could give timely insights into epidemic severity.</p>
</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>France</li>
</country>
</list>
<tree>
<country name="France">
<noRegion>
<name sortKey="Pelat, Camille" sort="Pelat, Camille" uniqKey="Pelat C" first="Camille" last="Pelat">Camille Pelat</name>
</noRegion>
<name sortKey="Blanchon, Thierry" sort="Blanchon, Thierry" uniqKey="Blanchon T" first="Thierry" last="Blanchon">Thierry Blanchon</name>
<name sortKey="Hanslik, Thomas" sort="Hanslik, Thomas" uniqKey="Hanslik T" first="Thomas" last="Hanslik">Thomas Hanslik</name>
<name sortKey="Lasserre, Andrea" sort="Lasserre, Andrea" uniqKey="Lasserre A" first="Andrea" last="Lasserre">Andrea Lasserre</name>
<name sortKey="Turbelin, Clement" sort="Turbelin, Clement" uniqKey="Turbelin C" first="Clément" last="Turbelin">Clément Turbelin</name>
<name sortKey="Xavier, Ana" sort="Xavier, Ana" uniqKey="Xavier A" first="Ana" last="Xavier">Ana Xavier</name>
</country>
</tree>
</affiliations>
</record>

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