Interim influenza vaccine effectiveness: A good proxy for final estimates in Spain in the seasons 2010-2014.
Identifieur interne : 000178 ( Main/Exploration ); précédent : 000177; suivant : 000179Interim influenza vaccine effectiveness: A good proxy for final estimates in Spain in the seasons 2010-2014.
Auteurs : Silvia Jiménez-Jorge [Espagne] ; Francisco Pozo [Espagne] ; Amparo Larrauri [Espagne]Source :
- Vaccine [ 1873-2518 ] ; 2015.
Descripteurs français
- KwdFr :
- Adolescent (MeSH), Adulte (MeSH), Adulte d'âge moyen (MeSH), Enfant (MeSH), Enfant d'âge préscolaire (MeSH), Espagne (épidémiologie), Femelle (MeSH), Grippe humaine (prévention et contrôle), Grippe humaine (épidémiologie), Humains (MeSH), Jeune adulte (MeSH), Mâle (MeSH), Nourrisson (MeSH), Nouveau-né (MeSH), Résultat thérapeutique (MeSH), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH), Surveillance sentinelle (MeSH), Vaccination (méthodes), Vaccins antigrippaux (administration et posologie), Vaccins antigrippaux (immunologie), Études cas-témoins (MeSH).
- MESH :
- administration et posologie : Vaccins antigrippaux.
- immunologie : Vaccins antigrippaux.
- méthodes : Vaccination.
- prévention et contrôle : Grippe humaine.
- épidémiologie : Espagne, Grippe humaine.
- Adolescent, Adulte, Adulte d'âge moyen, Enfant, Enfant d'âge préscolaire, Femelle, Humains, Jeune adulte, Mâle, Nourrisson, Nouveau-né, Résultat thérapeutique, Sujet âgé, Sujet âgé de 80 ans ou plus, Surveillance sentinelle, Études cas-témoins.
- Wicri :
- geographic : Espagne.
English descriptors
- KwdEn :
- Adolescent (MeSH), Adult (MeSH), Aged (MeSH), Aged, 80 and over (MeSH), Case-Control Studies (MeSH), Child (MeSH), Child, Preschool (MeSH), Female (MeSH), Humans (MeSH), Infant (MeSH), Infant, Newborn (MeSH), Influenza Vaccines (administration & dosage), Influenza Vaccines (immunology), Influenza, Human (epidemiology), Influenza, Human (prevention & control), Male (MeSH), Middle Aged (MeSH), Sentinel Surveillance (MeSH), Spain (epidemiology), Treatment Outcome (MeSH), Vaccination (methods), Young Adult (MeSH).
- MESH :
- chemical , administration & dosage : Influenza Vaccines.
- chemical , immunology : Influenza Vaccines.
- geographic , epidemiology : Spain.
- epidemiology : Influenza, Human.
- methods : Vaccination.
- prevention & control : Influenza, Human.
- Adolescent, Adult, Aged, Aged, 80 and over, Case-Control Studies, Child, Child, Preschool, Female, Humans, Infant, Infant, Newborn, Male, Middle Aged, Sentinel Surveillance, Treatment Outcome, Young Adult.
Abstract
INTRODUCTION
The agreement between interim and final influenza vaccine effectiveness (VE) estimates would support the use of interim assessments as a proxy for final VE results to guide health authorities in influenza prevention. We aimed to compare interim/final VE estimates in Spain.
METHODS
We used a test-negative case-control study (cycEVA) for 2010/11-2013/14 seasons. Sensitivity analyses were carried out by type/subtype of influenza virus and by target groups for vaccination.
RESULTS
In general, interim estimates were higher compared to end-season estimates. Interim and final VE differences were higher for the target groups compared to all population. Subtype-specific interim/final VE estimates showed greater concordance (3-13%) than for any virus (7-24%).
CONCLUSION
In Spain, interim influenza VE estimates over 2010-2014 were a good proxy of the final protection of the vaccine. Interim and final estimates showed greater concordance for all population and if performed subtype-specific.
DOI: 10.1016/j.vaccine.2015.03.051
PubMed: 25869892
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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<term>Adult (MeSH)</term>
<term>Aged (MeSH)</term>
<term>Aged, 80 and over (MeSH)</term>
<term>Case-Control Studies (MeSH)</term>
<term>Child (MeSH)</term>
<term>Child, Preschool (MeSH)</term>
<term>Female (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Infant (MeSH)</term>
<term>Infant, Newborn (MeSH)</term>
<term>Influenza Vaccines (administration & dosage)</term>
<term>Influenza Vaccines (immunology)</term>
<term>Influenza, Human (epidemiology)</term>
<term>Influenza, Human (prevention & control)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Sentinel Surveillance (MeSH)</term>
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<term>Treatment Outcome (MeSH)</term>
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<term>Adulte (MeSH)</term>
<term>Adulte d'âge moyen (MeSH)</term>
<term>Enfant (MeSH)</term>
<term>Enfant d'âge préscolaire (MeSH)</term>
<term>Espagne (épidémiologie)</term>
<term>Femelle (MeSH)</term>
<term>Grippe humaine (prévention et contrôle)</term>
<term>Grippe humaine (épidémiologie)</term>
<term>Humains (MeSH)</term>
<term>Jeune adulte (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Nourrisson (MeSH)</term>
<term>Nouveau-né (MeSH)</term>
<term>Résultat thérapeutique (MeSH)</term>
<term>Sujet âgé (MeSH)</term>
<term>Sujet âgé de 80 ans ou plus (MeSH)</term>
<term>Surveillance sentinelle (MeSH)</term>
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<term>Vaccins antigrippaux (immunologie)</term>
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<term>Grippe humaine</term>
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<term>Adult</term>
<term>Aged</term>
<term>Aged, 80 and over</term>
<term>Case-Control Studies</term>
<term>Child</term>
<term>Child, Preschool</term>
<term>Female</term>
<term>Humans</term>
<term>Infant</term>
<term>Infant, Newborn</term>
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<front><div type="abstract" xml:lang="en"><p><b>INTRODUCTION</b>
</p>
<p>The agreement between interim and final influenza vaccine effectiveness (VE) estimates would support the use of interim assessments as a proxy for final VE results to guide health authorities in influenza prevention. We aimed to compare interim/final VE estimates in Spain.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>We used a test-negative case-control study (cycEVA) for 2010/11-2013/14 seasons. Sensitivity analyses were carried out by type/subtype of influenza virus and by target groups for vaccination.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>In general, interim estimates were higher compared to end-season estimates. Interim and final VE differences were higher for the target groups compared to all population. Subtype-specific interim/final VE estimates showed greater concordance (3-13%) than for any virus (7-24%).</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSION</b>
</p>
<p>In Spain, interim influenza VE estimates over 2010-2014 were a good proxy of the final protection of the vaccine. Interim and final estimates showed greater concordance for all population and if performed subtype-specific.</p>
</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">25869892</PMID>
<DateCompleted><Year>2016</Year>
<Month>03</Month>
<Day>11</Day>
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<DateRevised><Year>2015</Year>
<Month>06</Month>
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<Abstract><AbstractText Label="INTRODUCTION" NlmCategory="BACKGROUND">The agreement between interim and final influenza vaccine effectiveness (VE) estimates would support the use of interim assessments as a proxy for final VE results to guide health authorities in influenza prevention. We aimed to compare interim/final VE estimates in Spain.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">We used a test-negative case-control study (cycEVA) for 2010/11-2013/14 seasons. Sensitivity analyses were carried out by type/subtype of influenza virus and by target groups for vaccination.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">In general, interim estimates were higher compared to end-season estimates. Interim and final VE differences were higher for the target groups compared to all population. Subtype-specific interim/final VE estimates showed greater concordance (3-13%) than for any virus (7-24%).</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">In Spain, interim influenza VE estimates over 2010-2014 were a good proxy of the final protection of the vaccine. Interim and final estimates showed greater concordance for all population and if performed subtype-specific.</AbstractText>
<CopyrightInformation>Copyright © 2015 Elsevier Ltd. All rights reserved.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Jiménez-Jorge</LastName>
<ForeName>Silvia</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>National Centre of Epidemiology, Institute of Health Carlos III, c/Monforte de Lemos no.5, 28029 Madrid, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain. Electronic address: silviajimenezjorge@gmail.com.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Pozo</LastName>
<ForeName>Francisco</ForeName>
<Initials>F</Initials>
<AffiliationInfo><Affiliation>Institute of Health Carlos III, National Centre for Microbiology, National Influenza Centre, 28220 Majadahonda, Madrid, Spain. Electronic address: pacopozo@isciii.es.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Larrauri</LastName>
<ForeName>Amparo</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>National Centre of Epidemiology, Institute of Health Carlos III, c/Monforte de Lemos no.5, 28029 Madrid, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Institute of Health Carlos III, Madrid, Spain. Electronic address: alarrauri@isciii.es.</Affiliation>
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<MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName>
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<MeshHeading><DescriptorName UI="D007231" MajorTopicYN="N">Infant, Newborn</DescriptorName>
</MeshHeading>
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<QualifierName UI="Q000276" MajorTopicYN="Y">immunology</QualifierName>
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<MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName>
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<Keyword MajorTopicYN="N">Influenza</Keyword>
<Keyword MajorTopicYN="N">Interim analysis</Keyword>
<Keyword MajorTopicYN="N">Sentinel networks</Keyword>
<Keyword MajorTopicYN="N">Vaccine effectiveness</Keyword>
</KeywordList>
<InvestigatorList><Investigator ValidYN="Y"><LastName>de Mateo</LastName>
<ForeName>Salvador</ForeName>
<Initials>S</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Delgado-Sanz</LastName>
<ForeName>Concepción</ForeName>
<Initials>C</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Casas</LastName>
<ForeName>Inmaculada</ForeName>
<Initials>I</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>García-Cenoz</LastName>
<ForeName>Manuel</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Castilla</LastName>
<ForeName>Jesús</ForeName>
<Initials>J</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Rodríguez</LastName>
<ForeName>Carolina</ForeName>
<Initials>C</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Vega</LastName>
<ForeName>Tomás</ForeName>
<Initials>T</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Quiñones</LastName>
<ForeName>Carmen</ForeName>
<Initials>C</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Martínez</LastName>
<ForeName>Eva</ForeName>
<Initials>E</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Vanrell</LastName>
<ForeName>Juana M</ForeName>
<Initials>JM</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Giménez</LastName>
<ForeName>Jaume</ForeName>
<Initials>J</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Castrillejo</LastName>
<ForeName>Daniel</ForeName>
<Initials>D</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Altzíbar</LastName>
<ForeName>Jone M</ForeName>
<Initials>JM</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>González-Carril</LastName>
<ForeName>Fernando</ForeName>
<Initials>F</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Ramos</LastName>
<ForeName>Julián M</ForeName>
<Initials>JM</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Serrano</LastName>
<ForeName>María C</ForeName>
<Initials>MC</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Martínez</LastName>
<ForeName>Ana</ForeName>
<Initials>A</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Torner</LastName>
<ForeName>Nuria</ForeName>
<Initials>N</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Pérez</LastName>
<ForeName>Esteban</ForeName>
<Initials>E</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Gallardo</LastName>
<ForeName>Virtudes</ForeName>
<Initials>V</Initials>
</Investigator>
</InvestigatorList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2014</Year>
<Month>12</Month>
<Day>01</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="revised"><Year>2015</Year>
<Month>03</Month>
<Day>11</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2015</Year>
<Month>03</Month>
<Day>18</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez"><Year>2015</Year>
<Month>4</Month>
<Day>15</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2015</Year>
<Month>4</Month>
<Day>15</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2016</Year>
<Month>3</Month>
<Day>12</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">25869892</ArticleId>
<ArticleId IdType="pii">S0264-410X(15)00359-X</ArticleId>
<ArticleId IdType="doi">10.1016/j.vaccine.2015.03.051</ArticleId>
</ArticleIdList>
</PubmedData>
</pubmed>
<affiliations><list><country><li>Espagne</li>
</country>
<region><li>Communauté de Madrid</li>
</region>
<settlement><li>Madrid</li>
</settlement>
</list>
<tree><country name="Espagne"><region name="Communauté de Madrid"><name sortKey="Jimenez Jorge, Silvia" sort="Jimenez Jorge, Silvia" uniqKey="Jimenez Jorge S" first="Silvia" last="Jiménez-Jorge">Silvia Jiménez-Jorge</name>
</region>
<name sortKey="Larrauri, Amparo" sort="Larrauri, Amparo" uniqKey="Larrauri A" first="Amparo" last="Larrauri">Amparo Larrauri</name>
<name sortKey="Pozo, Francisco" sort="Pozo, Francisco" uniqKey="Pozo F" first="Francisco" last="Pozo">Francisco Pozo</name>
</country>
</tree>
</affiliations>
</record>
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