Association of hospitalizations for asthma with seasonal and pandemic influenza
Identifieur interne : 000F82 ( Main/Exploration ); précédent : 000F81; suivant : 000F83Association of hospitalizations for asthma with seasonal and pandemic influenza
Auteurs : Alicia K. Gerke [États-Unis] ; Ming Yang [États-Unis] ; Fan Tang [États-Unis] ; Eric D. Foster [États-Unis] ; Joseph E. Cavanaugh [États-Unis] ; Philip M. Polgreen [États-Unis]Source :
- Respirology [ 1323-7799 ] ; 2014-01.
Descripteurs français
- KwdFr :
- Adolescent, Adulte, Adulte d'âge moyen, Asthme (), Asthme (épidémiologie), Asthme (étiologie), Facteurs de risque, Facteurs temps, Femelle, Grippe humaine (), Grippe humaine (épidémiologie), Hospitalisation (tendances), Humains, Incidence, Jeune adulte, Mâle, Pandémies, Prévision, Saisons, Sujet âgé, États-Unis d'Amérique (épidémiologie), Études de suivi, Études rétrospectives.
- MESH :
- tendances : Hospitalisation.
- épidémiologie : Asthme, Grippe humaine, États-Unis d'Amérique.
- étiologie : Asthme.
- Adolescent, Adulte, Adulte d'âge moyen, Asthme, Facteurs de risque, Facteurs temps, Femelle, Grippe humaine, Humains, Incidence, Jeune adulte, Mâle, Pandémies, Prévision, Saisons, Sujet âgé, Études de suivi, Études rétrospectives.
- Wicri :
- geographic : États-Unis.
English descriptors
- KwdEn :
- Adolescent, Adult, Aged, Asthma (epidemiology), Asthma (etiology), Asthma (therapy), Female, Follow-Up Studies, Forecasting, Hospitalization (trends), Humans, Incidence, Influenza, Human (complications), Influenza, Human (epidemiology), Male, Middle Aged, Pandemics, Retrospective Studies, Risk Factors, Seasons, Time Factors, United States (epidemiology), Young Adult.
- MESH :
- geographic , epidemiology : United States.
- complications : Influenza, Human.
- epidemiology : Asthma, Influenza, Human.
- etiology : Asthma.
- therapy : Asthma.
- trends : Hospitalization.
- Adolescent, Adult, Aged, Female, Follow-Up Studies, Forecasting, Humans, Incidence, Male, Middle Aged, Pandemics, Retrospective Studies, Risk Factors, Seasons, Time Factors, Young Adult.
Abstract
Background and objective: Although influenza has been associated with asthma exacerbations, it is not clear the extent to which this association affects health care use in the United States. The first goal of this project was to determine whether, and to what extent, the incidence of asthma hospitalizations is associated with seasonal variation in influenza. Second, we used influenza trends (2000–2008) to help predict asthma admissions during the 2009 H1N1 influenza pandemic. Methods: We identified all hospitalizations between 1998 and 2008 in the Nationwide Inpatient Sample from the Healthcare Cost and Utilization Project during which a primary diagnosis of asthma was recorded. Separately, we identified all hospitalizations during which a diagnosis of influenza was recorded. We performed time series regression analyses to investigate the association of monthly asthma admissions with influenza incidence. Finally, we applied these time series regression models using 1998–2008 data, to forecast monthly asthma admissions during the 2009 influenza pandemic. Results: Based on time series regression models, a strong, significant association exists between concurrent influenza activity and incidence of asthma hospitalizations (P‐value < 0.0001). Use of influenza data to predict asthma admissions during the 2009 H1N1 pandemic improved the mean squared prediction error by 60.2%. Conclusions: Influenza activity in the population is significantly associated with asthma hospitalizations in the United States, and this association can be exploited to more accurately forecast asthma admissions. Our results suggest that improvements in influenza surveillance, prevention and treatment may decrease hospitalizations of asthma patients.
On a population basis, influenza activity is associated with asthma hospitalizations in the United States, and this association can be exploited to more accurately forecast asthma admissions. Our results suggest that improvements in influenza surveillance, prevention and treatment may help predict and decrease hospitalizations of asthma patients.
Url:
- https://api.istex.fr/ark:/67375/WNG-N8VWS195-K/fulltext.pdf
- http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3877191
DOI: 10.1111/resp.12165
Affiliations:
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Gerke</name><affiliation wicri:level="4"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Internal Medicine, University of Iowa, Iowa, Iowa City</wicri:regionArea><orgName type="university">Université de l'Iowa</orgName><placeName><settlement type="city">Iowa City</settlement><region type="state">Iowa</region></placeName></affiliation></author><author><name sortKey="Yang, Ming" sort="Yang, Ming" uniqKey="Yang M" first="Ming" last="Yang">Ming Yang</name><affiliation wicri:level="3"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Harvard School of Public Health, Massachusetts, Boston</wicri:regionArea><placeName><settlement type="city">Boston</settlement><region type="state">Massachusetts</region></placeName></affiliation></author><author><name sortKey="Tang, Fan" sort="Tang, Fan" uniqKey="Tang F" first="Fan" last="Tang">Fan Tang</name><affiliation wicri:level="4"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Biostatistics, University of Iowa, Iowa, Iowa City</wicri:regionArea><orgName type="university">Université de l'Iowa</orgName><placeName><settlement type="city">Iowa City</settlement><region type="state">Iowa</region></placeName></affiliation></author><author><name sortKey="Foster, Eric D" sort="Foster, Eric D" uniqKey="Foster E" first="Eric D." last="Foster">Eric D. Foster</name><affiliation wicri:level="4"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Biostatistics, University of Iowa, Iowa, Iowa City</wicri:regionArea><orgName type="university">Université de l'Iowa</orgName><placeName><settlement type="city">Iowa City</settlement><region type="state">Iowa</region></placeName></affiliation></author><author><name sortKey="Cavanaugh, Joseph E" sort="Cavanaugh, Joseph E" uniqKey="Cavanaugh J" first="Joseph E." last="Cavanaugh">Joseph E. 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Polgreen</name><affiliation wicri:level="4"><country xml:lang="fr">États-Unis</country><wicri:regionArea>Department of Internal Medicine, University of Iowa, Iowa, Iowa City</wicri:regionArea><orgName type="university">Université de l'Iowa</orgName><placeName><settlement type="city">Iowa City</settlement><region type="state">Iowa</region></placeName></affiliation><affiliation wicri:level="1"><country wicri:rule="url">États-Unis</country></affiliation></author></analytic><monogr></monogr><series><title level="j" type="main">Respirology</title><title level="j" type="alt">RESPIROLOGY</title><idno type="ISSN">1323-7799</idno><idno type="eISSN">1440-1843</idno><imprint><biblScope unit="vol">19</biblScope><biblScope unit="issue">1</biblScope><biblScope unit="page" from="116">116</biblScope><biblScope unit="page" to="121">121</biblScope><biblScope unit="page-count">6</biblScope><date type="published" when="2014-01">2014-01</date></imprint><idno type="ISSN">1323-7799</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">1323-7799</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Aged</term><term>Asthma (epidemiology)</term><term>Asthma (etiology)</term><term>Asthma (therapy)</term><term>Female</term><term>Follow-Up Studies</term><term>Forecasting</term><term>Hospitalization (trends)</term><term>Humans</term><term>Incidence</term><term>Influenza, Human (complications)</term><term>Influenza, Human (epidemiology)</term><term>Male</term><term>Middle Aged</term><term>Pandemics</term><term>Retrospective Studies</term><term>Risk Factors</term><term>Seasons</term><term>Time Factors</term><term>United States (epidemiology)</term><term>Young Adult</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adolescent</term><term>Adulte</term><term>Adulte d'âge moyen</term><term>Asthme ()</term><term>Asthme (épidémiologie)</term><term>Asthme (étiologie)</term><term>Facteurs de risque</term><term>Facteurs temps</term><term>Femelle</term><term>Grippe humaine ()</term><term>Grippe humaine (épidémiologie)</term><term>Hospitalisation (tendances)</term><term>Humains</term><term>Incidence</term><term>Jeune adulte</term><term>Mâle</term><term>Pandémies</term><term>Prévision</term><term>Saisons</term><term>Sujet âgé</term><term>États-Unis d'Amérique (épidémiologie)</term><term>Études de suivi</term><term>Études rétrospectives</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>United States</term></keywords><keywords scheme="MESH" qualifier="complications" xml:lang="en"><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Asthma</term><term>Influenza, Human</term></keywords><keywords scheme="MESH" qualifier="etiology" xml:lang="en"><term>Asthma</term></keywords><keywords scheme="MESH" qualifier="tendances" xml:lang="fr"><term>Hospitalisation</term></keywords><keywords scheme="MESH" qualifier="therapy" xml:lang="en"><term>Asthma</term></keywords><keywords scheme="MESH" qualifier="trends" xml:lang="en"><term>Hospitalization</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Asthme</term><term>Grippe humaine</term><term>États-Unis d'Amérique</term></keywords><keywords scheme="MESH" qualifier="étiologie" xml:lang="fr"><term>Asthme</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Aged</term><term>Female</term><term>Follow-Up Studies</term><term>Forecasting</term><term>Humans</term><term>Incidence</term><term>Male</term><term>Middle Aged</term><term>Pandemics</term><term>Retrospective Studies</term><term>Risk Factors</term><term>Seasons</term><term>Time Factors</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>Asthme</term><term>Facteurs de risque</term><term>Facteurs temps</term><term>Femelle</term><term>Grippe humaine</term><term>Humains</term><term>Incidence</term><term>Jeune adulte</term><term>Mâle</term><term>Pandémies</term><term>Prévision</term><term>Saisons</term><term>Sujet âgé</term><term>Études de suivi</term><term>Études rétrospectives</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>États-Unis</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract">Background and objective: Although influenza has been associated with asthma exacerbations, it is not clear the extent to which this association affects health care use in the United States. The first goal of this project was to determine whether, and to what extent, the incidence of asthma hospitalizations is associated with seasonal variation in influenza. Second, we used influenza trends (2000–2008) to help predict asthma admissions during the 2009 H1N1 influenza pandemic. Methods: We identified all hospitalizations between 1998 and 2008 in the Nationwide Inpatient Sample from the Healthcare Cost and Utilization Project during which a primary diagnosis of asthma was recorded. Separately, we identified all hospitalizations during which a diagnosis of influenza was recorded. We performed time series regression analyses to investigate the association of monthly asthma admissions with influenza incidence. Finally, we applied these time series regression models using 1998–2008 data, to forecast monthly asthma admissions during the 2009 influenza pandemic. Results: Based on time series regression models, a strong, significant association exists between concurrent influenza activity and incidence of asthma hospitalizations (P‐value < 0.0001). Use of influenza data to predict asthma admissions during the 2009 H1N1 pandemic improved the mean squared prediction error by 60.2%. Conclusions: Influenza activity in the population is significantly associated with asthma hospitalizations in the United States, and this association can be exploited to more accurately forecast asthma admissions. Our results suggest that improvements in influenza surveillance, prevention and treatment may decrease hospitalizations of asthma patients.</div><div type="abstract">On a population basis, influenza activity is associated with asthma hospitalizations in the United States, and this association can be exploited to more accurately forecast asthma admissions. Our results suggest that improvements in influenza surveillance, prevention and treatment may help predict and decrease hospitalizations of asthma patients.</div></front></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>Iowa</li><li>Massachusetts</li></region><settlement><li>Boston</li><li>Iowa City</li></settlement><orgName><li>Université de l'Iowa</li></orgName></list><tree><country name="États-Unis"><region name="Iowa"><name sortKey="Gerke, Alicia K" sort="Gerke, Alicia K" uniqKey="Gerke A" first="Alicia K." last="Gerke">Alicia K. Gerke</name></region><name sortKey="Cavanaugh, Joseph E" sort="Cavanaugh, Joseph E" uniqKey="Cavanaugh J" first="Joseph E." last="Cavanaugh">Joseph E. Cavanaugh</name><name sortKey="Foster, Eric D" sort="Foster, Eric D" uniqKey="Foster E" first="Eric D." last="Foster">Eric D. Foster</name><name sortKey="Polgreen, Philip M" sort="Polgreen, Philip M" uniqKey="Polgreen P" first="Philip M." last="Polgreen">Philip M. Polgreen</name><name sortKey="Polgreen, Philip M" sort="Polgreen, Philip M" uniqKey="Polgreen P" first="Philip M." last="Polgreen">Philip M. Polgreen</name><name sortKey="Tang, Fan" sort="Tang, Fan" uniqKey="Tang F" first="Fan" last="Tang">Fan Tang</name><name sortKey="Yang, Ming" sort="Yang, Ming" uniqKey="Yang M" first="Ming" last="Yang">Ming Yang</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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