GrippeEspagneV1, Main, Exploration, bibRecord, 000001

Hospital-acquired influenza infections detected by a surveillance system over six seasons, from 2010/2011 to 2015/2016.

Identifieur interne : 000001 ( Main/Exploration ); précédent : 000000; suivant : 000002

Hospital-acquired influenza infections detected by a surveillance system over six seasons, from 2010/2011 to 2015/2016.

Auteurs : P. Godoy [Espagne] ; N. Torner [Espagne] ; N. Soldevila [Espagne] ; C. Rius [Espagne] ; M. Jane [Espagne] ; A. Martínez [Espagne] ; J A Caylà [Espagne] ; A. Domínguez [Espagne]

Source :

BMC infectious diseases [ 1471-2334 ] ; 2020.

RBID : pubmed:31992207

Descripteurs français

KwdFr :
- Adolescent (MeSH), Adulte (MeSH), Adulte d'âge moyen (MeSH), Durée du séjour (statistiques et données numériques), Déficits immunitaires (virologie), Déficits immunitaires (épidémiologie), Espagne (épidémiologie), Femelle (MeSH), Grippe humaine (traitement médicamenteux), Grippe humaine (virologie), Grippe humaine (épidémiologie), Hospitalisation (statistiques et données numériques), Humains (MeSH), Infection croisée (traitement médicamenteux), Infection croisée (épidémiologie), Jeune adulte (MeSH), Mâle (MeSH), Prévention des infections (MeSH), Saisons (MeSH), Sujet âgé (MeSH).
MESH :
- statistiques et données numériques : Durée du séjour, Hospitalisation.
- traitement médicamenteux : Grippe humaine, Infection croisée.
- virologie : Déficits immunitaires, Grippe humaine.
- épidémiologie : Déficits immunitaires, Espagne, Grippe humaine, Infection croisée.
- Adolescent, Adulte, Adulte d'âge moyen, Femelle, Humains, Jeune adulte, Mâle, Prévention des infections, Saisons, Sujet âgé.
Wicri :
- geographic : Espagne.

English descriptors

KwdEn :
- Adolescent (MeSH), Adult (MeSH), Aged (MeSH), Cross Infection (drug therapy), Cross Infection (epidemiology), Female (MeSH), Hospitalization (statistics & numerical data), Humans (MeSH), Immunologic Deficiency Syndromes (epidemiology), Immunologic Deficiency Syndromes (virology), Infection Control (MeSH), Influenza, Human (drug therapy), Influenza, Human (epidemiology), Influenza, Human (virology), Length of Stay (statistics & numerical data), Male (MeSH), Middle Aged (MeSH), Seasons (MeSH), Spain (epidemiology), Young Adult (MeSH).
MESH :
- geographic , epidemiology : Spain.
- drug therapy : Cross Infection, Influenza, Human.
- epidemiology : Cross Infection, Immunologic Deficiency Syndromes, Influenza, Human.
- statistics & numerical data : Hospitalization, Length of Stay.
- virology : Immunologic Deficiency Syndromes, Influenza, Human.
- Adolescent, Adult, Aged, Female, Humans, Infection Control, Male, Middle Aged, Seasons, Young Adult.

Abstract

BACKGROUND

In addition to outbreaks of nosocomial influenza, sporadic nosocomial influenza infections also occur but are generally not reported in the literature. This study aimed to determine the epidemiologic characteristics of cases of nosocomial influenza compared with the remaining severe cases of severe influenza in acute hospitals in Catalonia (Spain) which were identified by surveillance.

METHODS

An observational case-case epidemiological study was carried out in patients aged ≥18 years from Catalan 12 hospitals between 2010 and 2016. For each laboratory-confirmed influenza case (nosocomial or not) we collected demographic, virological and clinical characteristics. We defined patients with nosocomial influenza as those admitted to a hospital for a reason other than acute respiratory infection in whom ILI symptoms developed ≥48 h after admission and influenza virus infection was confirmed using RT-PCR. Mixed-effects regression was used to estimate the crude and adjusted OR.

RESULTS

One thousand seven hundred twenty-two hospitalized patients with severe laboratory-confirmed influenza virus infection were included: 96 (5.6%) were classified as nosocomial influenza and more frequently had > 14 days of hospital stay (42.7% vs. 27.7%, P < .001) and higher mortality (18.8% vs. 12.6%, P < .02). The variables associated with nosocomial influenza cases in acute-care hospital settings were chronic renal disease (aOR 2.44 95% CI 1.44-4.15) and immunodeficiency (aOR 1.79 95% CI 1.04-3.06).

CONCLUSIONS

Nosocomial infections are a recurring problem associated with high rates of chronic diseases and death. These findings underline the need for adherence to infection control guidelines.

DOI: 10.1186/s12879-020-4792-7
PubMed: 31992207
PubMed Central: PMC6988218

Affiliations:

Links toward previous steps (curation, corpus...)

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Le document en format XML

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<author><name sortKey="Torner, N" sort="Torner, N" uniqKey="Torner N" first="N" last="Torner">N. Torner</name>
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<wicri:regionArea>Epidemiology Service. Agència de Salut Pública de Catalunya, Generalitat de Catalunya, Barcelona</wicri:regionArea>
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<author><name sortKey="Martinez, A" sort="Martinez, A" uniqKey="Martinez A" first="A" last="Martínez">A. Martínez</name>
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<author><name sortKey="Cayla, J A" sort="Cayla, J A" uniqKey="Cayla J" first="J A" last="Caylà">J A Caylà</name>
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<country xml:lang="fr">Espagne</country>
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<series><title level="j">BMC infectious diseases</title>
<idno type="eISSN">1471-2334</idno>
<imprint><date when="2020" type="published">2020</date>
</imprint>
</series>
</biblStruct>
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</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent (MeSH)</term>
<term>Adult (MeSH)</term>
<term>Aged (MeSH)</term>
<term>Cross Infection (drug therapy)</term>
<term>Cross Infection (epidemiology)</term>
<term>Female (MeSH)</term>
<term>Hospitalization (statistics & numerical data)</term>
<term>Humans (MeSH)</term>
<term>Immunologic Deficiency Syndromes (epidemiology)</term>
<term>Immunologic Deficiency Syndromes (virology)</term>
<term>Infection Control (MeSH)</term>
<term>Influenza, Human (drug therapy)</term>
<term>Influenza, Human (epidemiology)</term>
<term>Influenza, Human (virology)</term>
<term>Length of Stay (statistics & numerical data)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Seasons (MeSH)</term>
<term>Spain (epidemiology)</term>
<term>Young Adult (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent (MeSH)</term>
<term>Adulte (MeSH)</term>
<term>Adulte d'âge moyen (MeSH)</term>
<term>Durée du séjour (statistiques et données numériques)</term>
<term>Déficits immunitaires (virologie)</term>
<term>Déficits immunitaires (épidémiologie)</term>
<term>Espagne (épidémiologie)</term>
<term>Femelle (MeSH)</term>
<term>Grippe humaine (traitement médicamenteux)</term>
<term>Grippe humaine (virologie)</term>
<term>Grippe humaine (épidémiologie)</term>
<term>Hospitalisation (statistiques et données numériques)</term>
<term>Humains (MeSH)</term>
<term>Infection croisée (traitement médicamenteux)</term>
<term>Infection croisée (épidémiologie)</term>
<term>Jeune adulte (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Prévention des infections (MeSH)</term>
<term>Saisons (MeSH)</term>
<term>Sujet âgé (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Spain</term>
</keywords>
<keywords scheme="MESH" qualifier="drug therapy" xml:lang="en"><term>Cross Infection</term>
<term>Influenza, Human</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Cross Infection</term>
<term>Immunologic Deficiency Syndromes</term>
<term>Influenza, Human</term>
</keywords>
<keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Hospitalization</term>
<term>Length of Stay</term>
</keywords>
<keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Durée du séjour</term>
<term>Hospitalisation</term>
</keywords>
<keywords scheme="MESH" qualifier="traitement médicamenteux" xml:lang="fr"><term>Grippe humaine</term>
<term>Infection croisée</term>
</keywords>
<keywords scheme="MESH" qualifier="virologie" xml:lang="fr"><term>Déficits immunitaires</term>
<term>Grippe humaine</term>
</keywords>
<keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Immunologic Deficiency Syndromes</term>
<term>Influenza, Human</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Déficits immunitaires</term>
<term>Espagne</term>
<term>Grippe humaine</term>
<term>Infection croisée</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Adolescent</term>
<term>Adult</term>
<term>Aged</term>
<term>Female</term>
<term>Humans</term>
<term>Infection Control</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Seasons</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>Femelle</term>
<term>Humains</term>
<term>Jeune adulte</term>
<term>Mâle</term>
<term>Prévention des infections</term>
<term>Saisons</term>
<term>Sujet âgé</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Espagne</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en"><p><b>BACKGROUND</b>
</p>
<p>In addition to outbreaks of nosocomial influenza, sporadic nosocomial influenza infections also occur but are generally not reported in the literature. This study aimed to determine the epidemiologic characteristics of cases of nosocomial influenza compared with the remaining severe cases of severe influenza in acute hospitals in Catalonia (Spain) which were identified by surveillance.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>An observational case-case epidemiological study was carried out in patients aged ≥18 years from Catalan 12 hospitals between 2010 and 2016. For each laboratory-confirmed influenza case (nosocomial or not) we collected demographic, virological and clinical characteristics. We defined patients with nosocomial influenza as those admitted to a hospital for a reason other than acute respiratory infection in whom ILI symptoms developed ≥48 h after admission and influenza virus infection was confirmed using RT-PCR. Mixed-effects regression was used to estimate the crude and adjusted OR.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>One thousand seven hundred twenty-two hospitalized patients with severe laboratory-confirmed influenza virus infection were included: 96 (5.6%) were classified as nosocomial influenza and more frequently had > 14 days of hospital stay (42.7% vs. 27.7%, P < .001) and higher mortality (18.8% vs. 12.6%, P < .02). The variables associated with nosocomial influenza cases in acute-care hospital settings were chronic renal disease (aOR 2.44 95% CI 1.44-4.15) and immunodeficiency (aOR 1.79 95% CI 1.04-3.06).</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b>
</p>
<p>Nosocomial infections are a recurring problem associated with high rates of chronic diseases and death. These findings underline the need for adherence to infection control guidelines.</p>
</div>
</front>
</TEI>
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<DateCompleted><Year>2020</Year>
<Month>03</Month>
<Day>25</Day>
</DateCompleted>
<DateRevised><Year>2020</Year>
<Month>03</Month>
<Day>25</Day>
</DateRevised>
<Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1471-2334</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>20</Volume>
<Issue>1</Issue>
<PubDate><Year>2020</Year>
<Month>Jan</Month>
<Day>28</Day>
</PubDate>
</JournalIssue>
<Title>BMC infectious diseases</Title>
<ISOAbbreviation>BMC Infect. Dis.</ISOAbbreviation>
</Journal>
<ArticleTitle>Hospital-acquired influenza infections detected by a surveillance system over six seasons, from 2010/2011 to 2015/2016.</ArticleTitle>
<Pagination><MedlinePgn>80</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1186/s12879-020-4792-7</ELocationID>
<Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">In addition to outbreaks of nosocomial influenza, sporadic nosocomial influenza infections also occur but are generally not reported in the literature. This study aimed to determine the epidemiologic characteristics of cases of nosocomial influenza compared with the remaining severe cases of severe influenza in acute hospitals in Catalonia (Spain) which were identified by surveillance.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">An observational case-case epidemiological study was carried out in patients aged ≥18 years from Catalan 12 hospitals between 2010 and 2016. For each laboratory-confirmed influenza case (nosocomial or not) we collected demographic, virological and clinical characteristics. We defined patients with nosocomial influenza as those admitted to a hospital for a reason other than acute respiratory infection in whom ILI symptoms developed ≥48 h after admission and influenza virus infection was confirmed using RT-PCR. Mixed-effects regression was used to estimate the crude and adjusted OR.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">One thousand seven hundred twenty-two hospitalized patients with severe laboratory-confirmed influenza virus infection were included: 96 (5.6%) were classified as nosocomial influenza and more frequently had > 14 days of hospital stay (42.7% vs. 27.7%, P < .001) and higher mortality (18.8% vs. 12.6%, P < .02). The variables associated with nosocomial influenza cases in acute-care hospital settings were chronic renal disease (aOR 2.44 95% CI 1.44-4.15) and immunodeficiency (aOR 1.79 95% CI 1.04-3.06).</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">Nosocomial infections are a recurring problem associated with high rates of chronic diseases and death. These findings underline the need for adherence to infection control guidelines.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Godoy</LastName>
<ForeName>P</ForeName>
<Initials>P</Initials>
<Identifier Source="ORCID">http://orcid.org/0000-0002-2896-7286</Identifier>
<AffiliationInfo><Affiliation>Epidemiology Service. Agència de Salut Pública de Catalunya, Generalitat de Catalunya, Barcelona, Spain. pere.godoy@gencat.cat.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain. pere.godoy@gencat.cat.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Institut de Recerca Biomédica de Lleida, IRBLleida, Lleida, Spain. pere.godoy@gencat.cat.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Torner</LastName>
<ForeName>N</ForeName>
<Initials>N</Initials>
<AffiliationInfo><Affiliation>Epidemiology Service. Agència de Salut Pública de Catalunya, Generalitat de Catalunya, Barcelona, Spain.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Departamento de Medicina, Universidad de Barcelona, Barcelona, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Soldevila</LastName>
<ForeName>N</ForeName>
<Initials>N</Initials>
<AffiliationInfo><Affiliation>CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Departamento de Medicina, Universidad de Barcelona, Barcelona, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Rius</LastName>
<ForeName>C</ForeName>
<Initials>C</Initials>
<AffiliationInfo><Affiliation>CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Agència de Salut Pública de Barcelona, Barcelona, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Jane</LastName>
<ForeName>M</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>Epidemiology Service. Agència de Salut Pública de Catalunya, Generalitat de Catalunya, Barcelona, Spain.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Martínez</LastName>
<ForeName>A</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>Epidemiology Service. Agència de Salut Pública de Catalunya, Generalitat de Catalunya, Barcelona, Spain.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Departamento de Medicina, Universidad de Barcelona, Barcelona, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Caylà</LastName>
<ForeName>J A</ForeName>
<Initials>JA</Initials>
<AffiliationInfo><Affiliation>CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Agència de Salut Pública de Barcelona, Barcelona, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Domínguez</LastName>
<ForeName>A</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Departamento de Medicina, Universidad de Barcelona, Barcelona, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><CollectiveName>Working Group on the Surveillance of Severe Influenza Hospitalized Cases in Catalonia</CollectiveName>
</Author>
</AuthorList>
<Language>eng</Language>
<GrantList CompleteYN="Y"><Grant><GrantID>Program of Surveillance, Prevention and Control of Transmissible Diseases (PREVICET) of CIBER de Epidemiología y Salud Pública (CIBERESP)</GrantID>
<Agency>Instituto de Salud Carlos III (ES)</Agency>
<Country></Country>
</Grant>
<Grant><GrantID>2017/SGR 1342</GrantID>
<Agency>Catalan Agency for the Management of Grants for University Research</Agency>
<Country></Country>
</Grant>
</GrantList>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D064888">Observational Study</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2020</Year>
<Month>01</Month>
<Day>28</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>England</Country>
<MedlineTA>BMC Infect Dis</MedlineTA>
<NlmUniqueID>100968551</NlmUniqueID>
<ISSNLinking>1471-2334</ISSNLinking>
</MedlineJournalInfo>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D003428" MajorTopicYN="N">Cross Infection</DescriptorName>
<QualifierName UI="Q000188" MajorTopicYN="N">drug therapy</QualifierName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006760" MajorTopicYN="N">Hospitalization</DescriptorName>
<QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D007153" MajorTopicYN="N">Immunologic Deficiency Syndromes</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
<QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D017053" MajorTopicYN="N">Infection Control</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName>
<QualifierName UI="Q000188" MajorTopicYN="N">drug therapy</QualifierName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
<QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D007902" MajorTopicYN="N">Length of Stay</DescriptorName>
<QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012621" MajorTopicYN="N">Seasons</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D013030" MajorTopicYN="N" Type="Geographic">Spain</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Healthcare-associated infection</Keyword>
<Keyword MajorTopicYN="N">Hospitalized patients</Keyword>
<Keyword MajorTopicYN="N">Influenza</Keyword>
<Keyword MajorTopicYN="N">Nosocomial infection</Keyword>
</KeywordList>
<InvestigatorList><Investigator ValidYN="Y"><LastName>Alsedà</LastName>
<ForeName>M</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Álvarez</LastName>
<ForeName>J</ForeName>
<Initials>J</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Arias</LastName>
<ForeName>C</ForeName>
<Initials>C</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Balañà</LastName>
<ForeName>P J</ForeName>
<Initials>PJ</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Barrabeig</LastName>
<ForeName>I</ForeName>
<Initials>I</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Camps</LastName>
<ForeName>N</ForeName>
<Initials>N</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Carol</LastName>
<ForeName>M</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Ferràs</LastName>
<ForeName>J</ForeName>
<Initials>J</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Ferrús</LastName>
<ForeName>G</ForeName>
<Initials>G</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Follia</LastName>
<ForeName>N</ForeName>
<Initials>N</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Godoy</LastName>
<ForeName>P</ForeName>
<Initials>P</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Bach</LastName>
<ForeName>P</ForeName>
<Initials>P</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Jané</LastName>
<ForeName>M</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Martínez</LastName>
<ForeName>A</ForeName>
<Initials>A</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Minguell</LastName>
<ForeName>S</ForeName>
<Initials>S</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Parrón</LastName>
<ForeName>I</ForeName>
<Initials>I</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Plasència</LastName>
<ForeName>E</ForeName>
<Initials>E</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Sala-Farré</LastName>
<ForeName>M R</ForeName>
<Initials>MR</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Torner</LastName>
<ForeName>N</ForeName>
<Initials>N</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Torra</LastName>
<ForeName>R</ForeName>
<Initials>R</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Torres</LastName>
<ForeName>J</ForeName>
<Initials>J</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Caylà</LastName>
<ForeName>J A</ForeName>
<Initials>JA</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Gorrindo</LastName>
<ForeName>P</ForeName>
<Initials>P</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Rius</LastName>
<ForeName>C</ForeName>
<Initials>C</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Marcos</LastName>
<ForeName>M A</ForeName>
<Initials>MA</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Mosquera</LastName>
<ForeName>M D M</ForeName>
<Initials>MDM</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Vilella</LastName>
<ForeName>A</ForeName>
<Initials>A</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Antón</LastName>
<ForeName>A</ForeName>
<Initials>A</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Pumarola</LastName>
<ForeName>T</ForeName>
<Initials>T</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Campins</LastName>
<ForeName>M</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>García</LastName>
<ForeName>D</ForeName>
<Initials>D</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Espejo</LastName>
<ForeName>E</ForeName>
<Initials>E</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Freixas</LastName>
<ForeName>N</ForeName>
<Initials>N</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Riera Garcia</LastName>
<ForeName>M</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Maraver</LastName>
<ForeName>E</ForeName>
<Initials>E</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Mas</LastName>
<ForeName>D</ForeName>
<Initials>D</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Perez</LastName>
<ForeName>R</ForeName>
<Initials>R</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Rebull</LastName>
<ForeName>J</ForeName>
<Initials>J</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Pou</LastName>
<ForeName>J</ForeName>
<Initials>J</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>García-Pardo</LastName>
<ForeName>G</ForeName>
<Initials>G</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Olona</LastName>
<ForeName>M</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Barcenilla</LastName>
<ForeName>F</ForeName>
<Initials>F</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Castellana</LastName>
<ForeName>D</ForeName>
<Initials>D</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Navarro-Rubio</LastName>
<ForeName>G</ForeName>
<Initials>G</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Force</LastName>
<ForeName>L L</ForeName>
<Initials>LL</Initials>
</Investigator>
</InvestigatorList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2018</Year>
<Month>11</Month>
<Day>18</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2020</Year>
<Month>01</Month>
<Day>14</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez"><Year>2020</Year>
<Month>1</Month>
<Day>30</Day>
<Hour>6</Hour>
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<PubMedPubDate PubStatus="medline"><Year>2020</Year>
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Hospital-acquired influenza infections detected by a surveillance system over six seasons, from 2010/2011 to 2015/2016.

Hospital-acquired influenza infections detected by a surveillance system over six seasons, from 2010/2011 to 2015/2016.

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