Influenza-like illness criteria were poorly related to laboratory-confirmed influenza in a sentinel surveillance study.
Identifieur interne : 000619 ( Main/Exploration ); précédent : 000618; suivant : 000620Influenza-like illness criteria were poorly related to laboratory-confirmed influenza in a sentinel surveillance study.
Auteurs : José María Navarro-Marí [Espagne] ; Mercedes Pérez-Ruiz ; Purificaci N Cantudo-Mu Oz ; Carmen Petit-Gancedo ; María Jiménez-Valera ; Manuel Rosa-FraileSource :
- Journal of clinical epidemiology [ 0895-4356 ] ; 2005.
Descripteurs français
- KwdFr :
- Adolescent (MeSH), Adulte (MeSH), Adulte d'âge moyen (MeSH), Enfant (MeSH), Enfant d'âge préscolaire (MeSH), Espagne (épidémiologie), Femelle (MeSH), Fièvre (virologie), Grippe humaine (complications), Grippe humaine (diagnostic), Grippe humaine (épidémiologie), Humains (MeSH), Infections de l'appareil respiratoire (diagnostic), Maladie aigüe (MeSH), Modèles logistiques (MeSH), Mâle (MeSH), Médecine de famille (MeSH), Nourrisson (MeSH), Pharynx (virologie), Répartition par âge (MeSH), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH), Surveillance sentinelle (MeSH), Toux (virologie), Vaccins antigrippaux (administration et posologie), Virus de la grippe A (isolement et purification), Virus influenza B (isolement et purification).
- MESH :
- administration et posologie : Vaccins antigrippaux.
- diagnostic : Grippe humaine, Infections de l'appareil respiratoire.
- isolement et purification : Virus de la grippe A, Virus influenza B.
- virologie : Fièvre, Pharynx, Toux.
- épidémiologie : Espagne, Grippe humaine.
- Adolescent, Adulte, Adulte d'âge moyen, Enfant, Enfant d'âge préscolaire, Femelle, Humains, Maladie aigüe, Modèles logistiques, Mâle, Médecine de famille, Nourrisson, Répartition par âge, Sujet âgé, Sujet âgé de 80 ans ou plus, Surveillance sentinelle.
- Wicri :
- geographic : Espagne.
English descriptors
- KwdEn :
- Acute Disease (MeSH), Adolescent (MeSH), Adult (MeSH), Age Distribution (MeSH), Aged (MeSH), Aged, 80 and over (MeSH), Child (MeSH), Child, Preschool (MeSH), Cough (virology), Family Practice (MeSH), Female (MeSH), Fever (virology), Humans (MeSH), Infant (MeSH), Influenza A virus (isolation & purification), Influenza B virus (isolation & purification), Influenza Vaccines (administration & dosage), Influenza, Human (complications), Influenza, Human (diagnosis), Influenza, Human (epidemiology), Logistic Models (MeSH), Male (MeSH), Middle Aged (MeSH), Pharynx (virology), Respiratory Tract Infections (diagnosis), Sentinel Surveillance (MeSH), Spain (epidemiology).
- MESH :
- chemical , administration & dosage : Influenza Vaccines.
- geographic , epidemiology : Spain.
- complications : Influenza, Human.
- diagnosis : Influenza, Human, Respiratory Tract Infections.
- epidemiology : Influenza, Human.
- isolation & purification : Influenza A virus, Influenza B virus.
- virology : Cough, Fever, Pharynx.
- Acute Disease, Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Child, Child, Preschool, Family Practice, Female, Humans, Infant, Logistic Models, Male, Middle Aged, Sentinel Surveillance.
Abstract
OBJECTIVE
To analyze the most related clinical data for influenza and the utility of influenza-like illness criteria as the clinical threshold for sampling in an influenza sentinel surveillance over a 3-year period.
METHODS
Sentinel physicians collected throat specimens and data from outpatients with acute respiratory infection (< or = 72 hours duration). Laboratory-confirmed influenza infection was compared with independent symptoms and the influenza-like illness criteria, as defined by the Classification Committee of the World Organization of Family Doctors.
RESULTS
From 1934 patients, 359 (18.56%) yielded positive results for influenza viruses. Only 199 (55.4%) of laboratory-confirmed cases fulfilled clinical criteria of influenza-like illness: positive and negative predictive value (PPV and NPV) of 0.36 and 0.88, respectively. Fever, cough, and rhinorrhea individually correlated with influenza infections (PPV: 0.30, 0.20, and 0.20, respectively; NPV: 0.92, 0.87, and 0.85, respectively). Multivariate analysis demonstrated that the correlation of influenza infection with the presence of fever and cough was similar to the correlation between influenza infection and influenza-like illness criteria (odds ratio 2.24 vs. 2.71, respectively).
CONCLUSION
Influenza-like illness criteria are poorly related to laboratory-confirmed influenza. For early detection of influenza viruses in surveillance systems, a less restrictive clinical criterion (specifically, acute respiratory infection) perhaps should be followed.
DOI: 10.1016/j.jclinepi.2004.08.014
PubMed: 15768487
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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<term>Adolescent (MeSH)</term>
<term>Adult (MeSH)</term>
<term>Age Distribution (MeSH)</term>
<term>Aged (MeSH)</term>
<term>Aged, 80 and over (MeSH)</term>
<term>Child (MeSH)</term>
<term>Child, Preschool (MeSH)</term>
<term>Cough (virology)</term>
<term>Family Practice (MeSH)</term>
<term>Female (MeSH)</term>
<term>Fever (virology)</term>
<term>Humans (MeSH)</term>
<term>Infant (MeSH)</term>
<term>Influenza A virus (isolation & purification)</term>
<term>Influenza B virus (isolation & purification)</term>
<term>Influenza Vaccines (administration & dosage)</term>
<term>Influenza, Human (complications)</term>
<term>Influenza, Human (diagnosis)</term>
<term>Influenza, Human (epidemiology)</term>
<term>Logistic Models (MeSH)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Pharynx (virology)</term>
<term>Respiratory Tract Infections (diagnosis)</term>
<term>Sentinel Surveillance (MeSH)</term>
<term>Spain (epidemiology)</term>
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<keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent (MeSH)</term>
<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>Fièvre (virologie)</term>
<term>Grippe humaine (complications)</term>
<term>Grippe humaine (diagnostic)</term>
<term>Grippe humaine (épidémiologie)</term>
<term>Humains (MeSH)</term>
<term>Infections de l'appareil respiratoire (diagnostic)</term>
<term>Maladie aigüe (MeSH)</term>
<term>Modèles logistiques (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Médecine de famille (MeSH)</term>
<term>Nourrisson (MeSH)</term>
<term>Pharynx (virologie)</term>
<term>Répartition par âge (MeSH)</term>
<term>Sujet âgé (MeSH)</term>
<term>Sujet âgé de 80 ans ou plus (MeSH)</term>
<term>Surveillance sentinelle (MeSH)</term>
<term>Toux (virologie)</term>
<term>Vaccins antigrippaux (administration et posologie)</term>
<term>Virus de la grippe A (isolement et purification)</term>
<term>Virus influenza B (isolement et purification)</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="administration & dosage" xml:lang="en"><term>Influenza Vaccines</term>
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<keywords scheme="MESH" qualifier="administration et posologie" xml:lang="fr"><term>Vaccins antigrippaux</term>
</keywords>
<keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>Influenza, Human</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Influenza, Human</term>
<term>Respiratory Tract Infections</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Grippe humaine</term>
<term>Infections de l'appareil respiratoire</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Influenza, Human</term>
</keywords>
<keywords scheme="MESH" qualifier="isolation & purification" xml:lang="en"><term>Influenza A virus</term>
<term>Influenza B virus</term>
</keywords>
<keywords scheme="MESH" qualifier="isolement et purification" xml:lang="fr"><term>Virus de la grippe A</term>
<term>Virus influenza B</term>
</keywords>
<keywords scheme="MESH" qualifier="virologie" xml:lang="fr"><term>Fièvre</term>
<term>Pharynx</term>
<term>Toux</term>
</keywords>
<keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Cough</term>
<term>Fever</term>
<term>Pharynx</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>Acute Disease</term>
<term>Adolescent</term>
<term>Adult</term>
<term>Age Distribution</term>
<term>Aged</term>
<term>Aged, 80 and over</term>
<term>Child</term>
<term>Child, Preschool</term>
<term>Family Practice</term>
<term>Female</term>
<term>Humans</term>
<term>Infant</term>
<term>Logistic Models</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Sentinel Surveillance</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Adolescent</term>
<term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Enfant</term>
<term>Enfant d'âge préscolaire</term>
<term>Femelle</term>
<term>Humains</term>
<term>Maladie aigüe</term>
<term>Modèles logistiques</term>
<term>Mâle</term>
<term>Médecine de famille</term>
<term>Nourrisson</term>
<term>Répartition par âge</term>
<term>Sujet âgé</term>
<term>Sujet âgé de 80 ans ou plus</term>
<term>Surveillance sentinelle</term>
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<keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Espagne</term>
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<front><div type="abstract" xml:lang="en"><p><b>OBJECTIVE</b>
</p>
<p>To analyze the most related clinical data for influenza and the utility of influenza-like illness criteria as the clinical threshold for sampling in an influenza sentinel surveillance over a 3-year period.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>METHODS</b>
</p>
<p>Sentinel physicians collected throat specimens and data from outpatients with acute respiratory infection (< or = 72 hours duration). Laboratory-confirmed influenza infection was compared with independent symptoms and the influenza-like illness criteria, as defined by the Classification Committee of the World Organization of Family Doctors.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>From 1934 patients, 359 (18.56%) yielded positive results for influenza viruses. Only 199 (55.4%) of laboratory-confirmed cases fulfilled clinical criteria of influenza-like illness: positive and negative predictive value (PPV and NPV) of 0.36 and 0.88, respectively. Fever, cough, and rhinorrhea individually correlated with influenza infections (PPV: 0.30, 0.20, and 0.20, respectively; NPV: 0.92, 0.87, and 0.85, respectively). Multivariate analysis demonstrated that the correlation of influenza infection with the presence of fever and cough was similar to the correlation between influenza infection and influenza-like illness criteria (odds ratio 2.24 vs. 2.71, respectively).</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSION</b>
</p>
<p>Influenza-like illness criteria are poorly related to laboratory-confirmed influenza. For early detection of influenza viruses in surveillance systems, a less restrictive clinical criterion (specifically, acute respiratory infection) perhaps should be followed.</p>
</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">15768487</PMID>
<DateCompleted><Year>2005</Year>
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<Title>Journal of clinical epidemiology</Title>
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<ArticleTitle>Influenza-like illness criteria were poorly related to laboratory-confirmed influenza in a sentinel surveillance study.</ArticleTitle>
<Pagination><MedlinePgn>275-9</MedlinePgn>
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<Abstract><AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">To analyze the most related clinical data for influenza and the utility of influenza-like illness criteria as the clinical threshold for sampling in an influenza sentinel surveillance over a 3-year period.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">Sentinel physicians collected throat specimens and data from outpatients with acute respiratory infection (< or = 72 hours duration). Laboratory-confirmed influenza infection was compared with independent symptoms and the influenza-like illness criteria, as defined by the Classification Committee of the World Organization of Family Doctors.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">From 1934 patients, 359 (18.56%) yielded positive results for influenza viruses. Only 199 (55.4%) of laboratory-confirmed cases fulfilled clinical criteria of influenza-like illness: positive and negative predictive value (PPV and NPV) of 0.36 and 0.88, respectively. Fever, cough, and rhinorrhea individually correlated with influenza infections (PPV: 0.30, 0.20, and 0.20, respectively; NPV: 0.92, 0.87, and 0.85, respectively). Multivariate analysis demonstrated that the correlation of influenza infection with the presence of fever and cough was similar to the correlation between influenza infection and influenza-like illness criteria (odds ratio 2.24 vs. 2.71, respectively).</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">Influenza-like illness criteria are poorly related to laboratory-confirmed influenza. For early detection of influenza viruses in surveillance systems, a less restrictive clinical criterion (specifically, acute respiratory infection) perhaps should be followed.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Navarro-Marí</LastName>
<ForeName>José María</ForeName>
<Initials>JM</Initials>
<AffiliationInfo><Affiliation>Servicio de Microbiología, Hospital Universitario Virgen de las Nieves, Granada, Spain. josem.navarro.sspa@juntadeandalucia.es</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Pérez-Ruiz</LastName>
<ForeName>Mercedes</ForeName>
<Initials>M</Initials>
</Author>
<Author ValidYN="Y"><LastName>Cantudo-Muñoz</LastName>
<ForeName>Purificación</ForeName>
<Initials>P</Initials>
</Author>
<Author ValidYN="Y"><LastName>Petit-Gancedo</LastName>
<ForeName>Carmen</ForeName>
<Initials>C</Initials>
</Author>
<Author ValidYN="Y"><LastName>Jiménez-Valera</LastName>
<ForeName>María</ForeName>
<Initials>M</Initials>
</Author>
<Author ValidYN="Y"><LastName>Rosa-Fraile</LastName>
<ForeName>Manuel</ForeName>
<Initials>M</Initials>
</Author>
<Author ValidYN="Y"><CollectiveName>Influenza Surveillance Network in Andalusia, Spain</CollectiveName>
</Author>
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<Language>eng</Language>
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<MeshHeading><DescriptorName UI="D016015" MajorTopicYN="N">Logistic Models</DescriptorName>
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<QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName>
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<MeshHeading><DescriptorName UI="D018571" MajorTopicYN="Y">Sentinel Surveillance</DescriptorName>
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</country>
</list>
<tree><noCountry><name sortKey="Cantudo Mu Oz, Purificaci N" sort="Cantudo Mu Oz, Purificaci N" uniqKey="Cantudo Mu Oz P" first="Purificaci N" last="Cantudo-Mu Oz">Purificaci N Cantudo-Mu Oz</name>
<name sortKey="Jimenez Valera, Maria" sort="Jimenez Valera, Maria" uniqKey="Jimenez Valera M" first="María" last="Jiménez-Valera">María Jiménez-Valera</name>
<name sortKey="Perez Ruiz, Mercedes" sort="Perez Ruiz, Mercedes" uniqKey="Perez Ruiz M" first="Mercedes" last="Pérez-Ruiz">Mercedes Pérez-Ruiz</name>
<name sortKey="Petit Gancedo, Carmen" sort="Petit Gancedo, Carmen" uniqKey="Petit Gancedo C" first="Carmen" last="Petit-Gancedo">Carmen Petit-Gancedo</name>
<name sortKey="Rosa Fraile, Manuel" sort="Rosa Fraile, Manuel" uniqKey="Rosa Fraile M" first="Manuel" last="Rosa-Fraile">Manuel Rosa-Fraile</name>
</noCountry>
<country name="Espagne"><noRegion><name sortKey="Navarro Mari, Jose Maria" sort="Navarro Mari, Jose Maria" uniqKey="Navarro Mari J" first="José María" last="Navarro-Marí">José María Navarro-Marí</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>
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