Effectiveness of antiviral treatment in preventing death in severe hospitalised influenza cases over six seasons.
Identifieur interne : 000069 ( Main/Exploration ); précédent : 000068; suivant : 000070Effectiveness of antiviral treatment in preventing death in severe hospitalised influenza cases over six seasons.
Auteurs : A. Domínguez [Espagne] ; A. Romero-Tamarit [Espagne] ; N. Soldevila [Espagne] ; P. Godoy [Espagne] ; M. Jané [Espagne] ; A. Martínez [Espagne] ; N. Torner [Espagne] ; J A Caylà [Espagne] ; C. Rius [Espagne]Source :
- Epidemiology and infection [ 1469-4409 ] ; 2018.
Descripteurs français
- KwdFr :
- Adulte (MeSH), Adulte d'âge moyen (MeSH), Antiviraux (usage thérapeutique), Espagne (épidémiologie), Femelle (MeSH), Grippe humaine (traitement médicamenteux), Grippe humaine (virologie), Grippe humaine (épidémiologie), Hospitalisation (statistiques et données numériques), Humains (MeSH), Jeune adulte (MeSH), Mâle (MeSH), Saisons (MeSH), Sous-type H1N1 du virus de la grippe A (physiologie), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH), Unités de soins intensifs (statistiques et données numériques).
- MESH :
- physiologie : Sous-type H1N1 du virus de la grippe A.
- statistiques et données numériques : Hospitalisation, Unités de soins intensifs.
- traitement médicamenteux : Grippe humaine.
- usage thérapeutique : Antiviraux.
- virologie : Grippe humaine.
- épidémiologie : Espagne, Grippe humaine.
- Adulte, Adulte d'âge moyen, Femelle, Humains, Jeune adulte, Mâle, Saisons, Sujet âgé, Sujet âgé de 80 ans ou plus.
- Wicri :
- geographic : Espagne.
English descriptors
- KwdEn :
- Adult (MeSH), Aged (MeSH), Aged, 80 and over (MeSH), Antiviral Agents (therapeutic use), Female (MeSH), Hospitalization (statistics & numerical data), Humans (MeSH), Influenza A Virus, H1N1 Subtype (physiology), Influenza, Human (drug therapy), Influenza, Human (epidemiology), Influenza, Human (virology), Intensive Care Units (statistics & numerical data), Male (MeSH), Middle Aged (MeSH), Seasons (MeSH), Spain (epidemiology), Young Adult (MeSH).
- MESH :
- chemical , therapeutic use : Antiviral Agents.
- geographic , epidemiology : Spain.
- drug therapy : Influenza, Human.
- epidemiology : Influenza, Human.
- physiology : Influenza A Virus, H1N1 Subtype.
- statistics & numerical data : Hospitalization, Intensive Care Units.
- virology : Influenza, Human.
- Adult, Aged, Aged, 80 and over, Female, Humans, Male, Middle Aged, Seasons, Young Adult.
Abstract
We investigated the predictors of neuraminidase inhibitor (NAI) treatment in severe hospitalised influenza cases and the association between antiviral treatment and mortality. An observational epidemiological study was carried out in Catalonia (Spain) during 2010-2016 in patients aged ⩾18 years. Severe hospitalised cases of laboratory-confirmed influenza requiring hospitalisation were included. We collected demographic, virological and clinical characteristics. Mixed-effects logistic regression was used to estimate crude and adjusted odds ratio (aOR). We included 1727 hospitalised patients, of whom 1577 (91.3%) received NAI. Receiving NAI ⩽48 h after onset of clinical symptoms (aOR 0.37, 95% confidence interval (CI) 0.22-0.63), ⩽3 days (aOR 0.49, 95% CI 0.30-0.79) and ⩽5 days (aOR 0.50, 95% CI 0.32-0.79) was associated with a reduction in deaths. In patients admitted to the intensive care unit (ICU) (595; 34.5%), treatment ⩽48 h (aOR 0.32, 95% CI 0.14-0.74), ⩽3 days (aOR 0.44, 95% CI 0.20-0.97) and ⩽5 days (aOR 0.45, 95% CI 0.22-0.96) was associated with a reduction in deaths. Receiving treatment >5 days after onset of clinical symptoms was not associated with the reduction in deaths in hospitalised patients or those admitted to the ICU. NAI treatment of hospitalised patients with severe confirmed influenza was effective in avoiding death, mainly when administered ⩽48 h after symptom onset, but also when no more than 5 days had elapsed.
DOI: 10.1017/S0950268818000663
PubMed: 29606178
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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Torner</name><affiliation wicri:level="4"><nlm:affiliation>Departament de Medicina, Universitat de Barcelona, Barcelona, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Departament de Medicina, Universitat de Barcelona, Barcelona</wicri:regionArea><placeName><settlement type="city">Barcelone</settlement><region nuts="2" type="region">Catalogne</region></placeName><orgName type="university">Université de Barcelone</orgName></affiliation><affiliation wicri:level="3"><nlm:affiliation>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid</wicri:regionArea><placeName><settlement type="city">Madrid</settlement><region nuts="2" type="region">Communauté de Madrid</region></placeName></affiliation><affiliation wicri:level="3"><nlm:affiliation>Agència de Salut Pública de Catalunya, Generalitat de Catalunya, Barcelona, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Agència de Salut Pública de Catalunya, Generalitat de Catalunya, Barcelona</wicri:regionArea><placeName><settlement type="city">Barcelone</settlement><region nuts="2" type="region">Catalogne</region></placeName></affiliation></author><author><name sortKey="Cayla, J A" sort="Cayla, J A" uniqKey="Cayla J" first="J A" last="Caylà">J A Caylà</name><affiliation wicri:level="3"><nlm:affiliation>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid</wicri:regionArea><placeName><settlement type="city">Madrid</settlement><region nuts="2" type="region">Communauté de Madrid</region></placeName></affiliation><affiliation wicri:level="3"><nlm:affiliation>Agència de Salut Pública de Barcelona, Barcelona, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Agència de Salut Pública de Barcelona, Barcelona</wicri:regionArea><placeName><settlement type="city">Barcelone</settlement><region nuts="2" type="region">Catalogne</region></placeName></affiliation></author><author><name sortKey="Rius, C" sort="Rius, C" uniqKey="Rius C" first="C" last="Rius">C. 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Domínguez</name><affiliation wicri:level="4"><nlm:affiliation>Departament de Medicina, Universitat de Barcelona, Barcelona, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Departament de Medicina, Universitat de Barcelona, Barcelona</wicri:regionArea><placeName><settlement type="city">Barcelone</settlement><region nuts="2" type="region">Catalogne</region></placeName><orgName type="university">Université de Barcelone</orgName></affiliation><affiliation wicri:level="3"><nlm:affiliation>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid</wicri:regionArea><placeName><settlement type="city">Madrid</settlement><region nuts="2" type="region">Communauté de Madrid</region></placeName></affiliation></author><author><name sortKey="Romero Tamarit, A" sort="Romero Tamarit, A" uniqKey="Romero Tamarit A" first="A" last="Romero-Tamarit">A. Romero-Tamarit</name><affiliation wicri:level="3"><nlm:affiliation>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid</wicri:regionArea><placeName><settlement type="city">Madrid</settlement><region nuts="2" type="region">Communauté de Madrid</region></placeName></affiliation></author><author><name sortKey="Soldevila, N" sort="Soldevila, N" uniqKey="Soldevila N" first="N" last="Soldevila">N. Soldevila</name><affiliation wicri:level="4"><nlm:affiliation>Departament de Medicina, Universitat de Barcelona, Barcelona, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Departament de Medicina, Universitat de Barcelona, Barcelona</wicri:regionArea><placeName><settlement type="city">Barcelone</settlement><region nuts="2" type="region">Catalogne</region></placeName><orgName type="university">Université de Barcelone</orgName></affiliation><affiliation wicri:level="3"><nlm:affiliation>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid</wicri:regionArea><placeName><settlement type="city">Madrid</settlement><region nuts="2" type="region">Communauté de Madrid</region></placeName></affiliation></author><author><name sortKey="Godoy, P" sort="Godoy, P" uniqKey="Godoy P" first="P" last="Godoy">P. Godoy</name><affiliation wicri:level="3"><nlm:affiliation>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid</wicri:regionArea><placeName><settlement type="city">Madrid</settlement><region nuts="2" type="region">Communauté de Madrid</region></placeName></affiliation><affiliation wicri:level="3"><nlm:affiliation>Agència de Salut Pública de Catalunya, Generalitat de Catalunya, Barcelona, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Agència de Salut Pública de Catalunya, Generalitat de Catalunya, Barcelona</wicri:regionArea><placeName><settlement type="city">Barcelone</settlement><region nuts="2" type="region">Catalogne</region></placeName></affiliation></author><author><name sortKey="Jane, M" sort="Jane, M" uniqKey="Jane M" first="M" last="Jané">M. Jané</name><affiliation wicri:level="3"><nlm:affiliation>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid</wicri:regionArea><placeName><settlement type="city">Madrid</settlement><region nuts="2" type="region">Communauté de Madrid</region></placeName></affiliation><affiliation wicri:level="3"><nlm:affiliation>Agència de Salut Pública de Catalunya, Generalitat de Catalunya, Barcelona, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Agència de Salut Pública de Catalunya, Generalitat de Catalunya, Barcelona</wicri:regionArea><placeName><settlement type="city">Barcelone</settlement><region nuts="2" type="region">Catalogne</region></placeName></affiliation></author><author><name sortKey="Martinez, A" sort="Martinez, A" uniqKey="Martinez A" first="A" last="Martínez">A. Martínez</name><affiliation wicri:level="3"><nlm:affiliation>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid</wicri:regionArea><placeName><settlement type="city">Madrid</settlement><region nuts="2" type="region">Communauté de Madrid</region></placeName></affiliation><affiliation wicri:level="3"><nlm:affiliation>Agència de Salut Pública de Catalunya, Generalitat de Catalunya, Barcelona, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Agència de Salut Pública de Catalunya, Generalitat de Catalunya, Barcelona</wicri:regionArea><placeName><settlement type="city">Barcelone</settlement><region nuts="2" type="region">Catalogne</region></placeName></affiliation></author><author><name sortKey="Torner, N" sort="Torner, N" uniqKey="Torner N" first="N" last="Torner">N. Torner</name><affiliation wicri:level="4"><nlm:affiliation>Departament de Medicina, Universitat de Barcelona, Barcelona, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Departament de Medicina, Universitat de Barcelona, Barcelona</wicri:regionArea><placeName><settlement type="city">Barcelone</settlement><region nuts="2" type="region">Catalogne</region></placeName><orgName type="university">Université de Barcelone</orgName></affiliation><affiliation wicri:level="3"><nlm:affiliation>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid</wicri:regionArea><placeName><settlement type="city">Madrid</settlement><region nuts="2" type="region">Communauté de Madrid</region></placeName></affiliation><affiliation wicri:level="3"><nlm:affiliation>Agència de Salut Pública de Catalunya, Generalitat de Catalunya, Barcelona, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Agència de Salut Pública de Catalunya, Generalitat de Catalunya, Barcelona</wicri:regionArea><placeName><settlement type="city">Barcelone</settlement><region nuts="2" type="region">Catalogne</region></placeName></affiliation></author><author><name sortKey="Cayla, J A" sort="Cayla, J A" uniqKey="Cayla J" first="J A" last="Caylà">J A Caylà</name><affiliation wicri:level="3"><nlm:affiliation>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid</wicri:regionArea><placeName><settlement type="city">Madrid</settlement><region nuts="2" type="region">Communauté de Madrid</region></placeName></affiliation><affiliation wicri:level="3"><nlm:affiliation>Agència de Salut Pública de Barcelona, Barcelona, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Agència de Salut Pública de Barcelona, Barcelona</wicri:regionArea><placeName><settlement type="city">Barcelone</settlement><region nuts="2" type="region">Catalogne</region></placeName></affiliation></author><author><name sortKey="Rius, C" sort="Rius, C" uniqKey="Rius C" first="C" last="Rius">C. Rius</name><affiliation wicri:level="3"><nlm:affiliation>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid</wicri:regionArea><placeName><settlement type="city">Madrid</settlement><region nuts="2" type="region">Communauté de Madrid</region></placeName></affiliation><affiliation wicri:level="3"><nlm:affiliation>Agència de Salut Pública de Barcelona, Barcelona, Spain.</nlm:affiliation><country xml:lang="fr">Espagne</country><wicri:regionArea>Agència de Salut Pública de Barcelona, Barcelona</wicri:regionArea><placeName><settlement type="city">Barcelone</settlement><region nuts="2" type="region">Catalogne</region></placeName></affiliation></author></analytic><series><title level="j">Epidemiology and infection</title><idno type="eISSN">1469-4409</idno><imprint><date when="2018" type="published">2018</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult (MeSH)</term><term>Aged (MeSH)</term><term>Aged, 80 and over (MeSH)</term><term>Antiviral Agents (therapeutic use)</term><term>Female (MeSH)</term><term>Hospitalization (statistics & numerical data)</term><term>Humans (MeSH)</term><term>Influenza A Virus, H1N1 Subtype (physiology)</term><term>Influenza, Human (drug therapy)</term><term>Influenza, Human (epidemiology)</term><term>Influenza, Human (virology)</term><term>Intensive Care Units (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>Adulte (MeSH)</term><term>Adulte d'âge moyen (MeSH)</term><term>Antiviraux (usage thérapeutique)</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>Jeune adulte (MeSH)</term><term>Mâle (MeSH)</term><term>Saisons (MeSH)</term><term>Sous-type H1N1 du virus de la grippe A (physiologie)</term><term>Sujet âgé (MeSH)</term><term>Sujet âgé de 80 ans ou plus (MeSH)</term><term>Unités de soins intensifs (statistiques et données numériques)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="therapeutic use" xml:lang="en"><term>Antiviral Agents</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>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="physiologie" xml:lang="fr"><term>Sous-type H1N1 du virus de la grippe A</term></keywords><keywords scheme="MESH" qualifier="physiology" xml:lang="en"><term>Influenza A Virus, H1N1 Subtype</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Hospitalization</term><term>Intensive Care Units</term></keywords><keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Hospitalisation</term><term>Unités de soins intensifs</term></keywords><keywords scheme="MESH" qualifier="traitement médicamenteux" xml:lang="fr"><term>Grippe humaine</term></keywords><keywords scheme="MESH" qualifier="usage thérapeutique" xml:lang="fr"><term>Antiviraux</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>Espagne</term><term>Grippe humaine</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Aged</term><term>Aged, 80 and over</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Seasons</term><term>Young Adult</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte</term><term>Adulte d'âge moyen</term><term>Femelle</term><term>Humains</term><term>Jeune adulte</term><term>Mâle</term><term>Saisons</term><term>Sujet âgé</term><term>Sujet âgé de 80 ans ou plus</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Espagne</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">We investigated the predictors of neuraminidase inhibitor (NAI) treatment in severe hospitalised influenza cases and the association between antiviral treatment and mortality. An observational epidemiological study was carried out in Catalonia (Spain) during 2010-2016 in patients aged ⩾18 years. Severe hospitalised cases of laboratory-confirmed influenza requiring hospitalisation were included. We collected demographic, virological and clinical characteristics. Mixed-effects logistic regression was used to estimate crude and adjusted odds ratio (aOR). We included 1727 hospitalised patients, of whom 1577 (91.3%) received NAI. Receiving NAI ⩽48 h after onset of clinical symptoms (aOR 0.37, 95% confidence interval (CI) 0.22-0.63), ⩽3 days (aOR 0.49, 95% CI 0.30-0.79) and ⩽5 days (aOR 0.50, 95% CI 0.32-0.79) was associated with a reduction in deaths. In patients admitted to the intensive care unit (ICU) (595; 34.5%), treatment ⩽48 h (aOR 0.32, 95% CI 0.14-0.74), ⩽3 days (aOR 0.44, 95% CI 0.20-0.97) and ⩽5 days (aOR 0.45, 95% CI 0.22-0.96) was associated with a reduction in deaths. Receiving treatment >5 days after onset of clinical symptoms was not associated with the reduction in deaths in hospitalised patients or those admitted to the ICU. NAI treatment of hospitalised patients with severe confirmed influenza was effective in avoiding death, mainly when administered ⩽48 h after symptom onset, but also when no more than 5 days had elapsed.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">29606178</PMID><DateCompleted><Year>2019</Year><Month>01</Month><Day>04</Day></DateCompleted><DateRevised><Year>2020</Year><Month>01</Month><Day>30</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1469-4409</ISSN><JournalIssue CitedMedium="Internet"><Volume>146</Volume><Issue>7</Issue><PubDate><Year>2018</Year><Month>05</Month></PubDate></JournalIssue><Title>Epidemiology and infection</Title><ISOAbbreviation>Epidemiol. Infect.</ISOAbbreviation></Journal><ArticleTitle>Effectiveness of antiviral treatment in preventing death in severe hospitalised influenza cases over six seasons.</ArticleTitle><Pagination><MedlinePgn>799-808</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1017/S0950268818000663</ELocationID><Abstract><AbstractText>We investigated the predictors of neuraminidase inhibitor (NAI) treatment in severe hospitalised influenza cases and the association between antiviral treatment and mortality. An observational epidemiological study was carried out in Catalonia (Spain) during 2010-2016 in patients aged ⩾18 years. Severe hospitalised cases of laboratory-confirmed influenza requiring hospitalisation were included. We collected demographic, virological and clinical characteristics. Mixed-effects logistic regression was used to estimate crude and adjusted odds ratio (aOR). We included 1727 hospitalised patients, of whom 1577 (91.3%) received NAI. Receiving NAI ⩽48 h after onset of clinical symptoms (aOR 0.37, 95% confidence interval (CI) 0.22-0.63), ⩽3 days (aOR 0.49, 95% CI 0.30-0.79) and ⩽5 days (aOR 0.50, 95% CI 0.32-0.79) was associated with a reduction in deaths. In patients admitted to the intensive care unit (ICU) (595; 34.5%), treatment ⩽48 h (aOR 0.32, 95% CI 0.14-0.74), ⩽3 days (aOR 0.44, 95% CI 0.20-0.97) and ⩽5 days (aOR 0.45, 95% CI 0.22-0.96) was associated with a reduction in deaths. Receiving treatment >5 days after onset of clinical symptoms was not associated with the reduction in deaths in hospitalised patients or those admitted to the ICU. NAI treatment of hospitalised patients with severe confirmed influenza was effective in avoiding death, mainly when administered ⩽48 h after symptom onset, but also when no more than 5 days had elapsed.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Domínguez</LastName><ForeName>A</ForeName><Initials>A</Initials><Identifier Source="ORCID">https://orcid.org/0000-0003-0219-1907</Identifier><AffiliationInfo><Affiliation>Departament de Medicina, Universitat de Barcelona, Barcelona, Spain.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Romero-Tamarit</LastName><ForeName>A</ForeName><Initials>A</Initials><Identifier Source="ORCID">https://orcid.org/0000-0003-4391-6150</Identifier><AffiliationInfo><Affiliation>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Soldevila</LastName><ForeName>N</ForeName><Initials>N</Initials><AffiliationInfo><Affiliation>Departament de Medicina, Universitat de Barcelona, Barcelona, Spain.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Godoy</LastName><ForeName>P</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Agència de Salut Pública de Catalunya, Generalitat de Catalunya, Barcelona, Spain.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jané</LastName><ForeName>M</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Agència de Salut Pública de Catalunya, Generalitat de Catalunya, Barcelona, Spain.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Martínez</LastName><ForeName>A</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Agència de Salut Pública de Catalunya, Generalitat de Catalunya, Barcelona, Spain.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Torner</LastName><ForeName>N</ForeName><Initials>N</Initials><AffiliationInfo><Affiliation>Departament de Medicina, Universitat de Barcelona, Barcelona, Spain.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Agència de Salut Pública de Catalunya, Generalitat de Catalunya, Barcelona, Spain.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Caylà</LastName><ForeName>J A</ForeName><Initials>JA</Initials><AffiliationInfo><Affiliation>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Agència de Salut Pública de Barcelona, Barcelona, Spain.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Rius</LastName><ForeName>C</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Agència de Salut Pública de Barcelona, Barcelona, Spain.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><CollectiveName>Surveillance of Hospitalized Cases of Severe Influenza in Catalonia Working Group</CollectiveName></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2018</Year><Month>04</Month><Day>02</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Epidemiol Infect</MedlineTA><NlmUniqueID>8703737</NlmUniqueID><ISSNLinking>0950-2688</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D000998">Antiviral Agents</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000998" MajorTopicYN="N">Antiviral Agents</DescriptorName><QualifierName UI="Q000627" MajorTopicYN="Y">therapeutic use</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006760" MajorTopicYN="N">Hospitalization</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D053118" MajorTopicYN="N">Influenza A Virus, H1N1 Subtype</DescriptorName><QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000188" MajorTopicYN="Y">drug therapy</QualifierName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D007362" MajorTopicYN="N">Intensive Care Units</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="Y">Adherence</Keyword><Keyword MajorTopicYN="Y">adults</Keyword><Keyword MajorTopicYN="Y">antiviral treatment</Keyword><Keyword MajorTopicYN="Y">effectiveness</Keyword><Keyword MajorTopicYN="Y">influenza</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>2018</Year><Month>4</Month><Day>3</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2019</Year><Month>1</Month><Day>5</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2018</Year><Month>4</Month><Day>3</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">29606178</ArticleId><ArticleId IdType="pii">S0950268818000663</ArticleId><ArticleId IdType="doi">10.1017/S0950268818000663</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Espagne</li></country><region><li>Catalogne</li><li>Communauté de Madrid</li></region><settlement><li>Barcelone</li><li>Madrid</li></settlement><orgName><li>Université de Barcelone</li></orgName></list><tree><country name="Espagne"><region name="Catalogne"><name sortKey="Dominguez, A" sort="Dominguez, A" uniqKey="Dominguez A" first="A" last="Domínguez">A. Domínguez</name></region><name sortKey="Cayla, J A" sort="Cayla, J A" uniqKey="Cayla J" first="J A" last="Caylà">J A Caylà</name><name sortKey="Cayla, J A" sort="Cayla, J A" uniqKey="Cayla J" first="J A" last="Caylà">J A Caylà</name><name sortKey="Dominguez, A" sort="Dominguez, A" uniqKey="Dominguez A" first="A" last="Domínguez">A. Domínguez</name><name sortKey="Godoy, P" sort="Godoy, P" uniqKey="Godoy P" first="P" last="Godoy">P. Godoy</name><name sortKey="Godoy, P" sort="Godoy, P" uniqKey="Godoy P" first="P" last="Godoy">P. Godoy</name><name sortKey="Jane, M" sort="Jane, M" uniqKey="Jane M" first="M" last="Jané">M. Jané</name><name sortKey="Jane, M" sort="Jane, M" uniqKey="Jane M" first="M" last="Jané">M. Jané</name><name sortKey="Martinez, A" sort="Martinez, A" uniqKey="Martinez A" first="A" last="Martínez">A. Martínez</name><name sortKey="Martinez, A" sort="Martinez, A" uniqKey="Martinez A" first="A" last="Martínez">A. Martínez</name><name sortKey="Rius, C" sort="Rius, C" uniqKey="Rius C" first="C" last="Rius">C. Rius</name><name sortKey="Rius, C" sort="Rius, C" uniqKey="Rius C" first="C" last="Rius">C. Rius</name><name sortKey="Romero Tamarit, A" sort="Romero Tamarit, A" uniqKey="Romero Tamarit A" first="A" last="Romero-Tamarit">A. Romero-Tamarit</name><name sortKey="Soldevila, N" sort="Soldevila, N" uniqKey="Soldevila N" first="N" last="Soldevila">N. Soldevila</name><name sortKey="Soldevila, N" sort="Soldevila, N" uniqKey="Soldevila N" first="N" last="Soldevila">N. Soldevila</name><name sortKey="Torner, N" sort="Torner, N" uniqKey="Torner N" first="N" last="Torner">N. Torner</name><name sortKey="Torner, N" sort="Torner, N" uniqKey="Torner N" first="N" last="Torner">N. Torner</name><name sortKey="Torner, N" sort="Torner, N" uniqKey="Torner N" first="N" last="Torner">N. Torner</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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