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Association of Hospitalizations for Asthma with Seasonal and Pandemic Influenza

Identifieur interne : 001706 ( Ncbi/Curation ); précédent : 001705; suivant : 001707

Association 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 :

RBID : PMC:3877191

Descripteurs français

English descriptors

Abstract

Background and objective

Although influenza has been associated with asthma exacerbations, it is not clear the extent to which this association affects healthcare use in the United States (U.S.). 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 U.S., 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.


Url:
DOI: 10.1111/resp.12165
PubMed: 23931674
PubMed Central: 3877191

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PMC:3877191

Le document en format XML

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<term>Asthma</term>
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<term>Hospitalization</term>
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<term>Grippe humaine</term>
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<term>Facteurs de risque</term>
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<term>Femelle</term>
<term>Grippe humaine</term>
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<sec id="S1">
<title>Background and objective</title>
<p id="P1">Although influenza has been associated with asthma exacerbations, it is not clear the extent to which this association affects healthcare use in the United States (U.S.). 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.</p>
</sec>
<sec id="S2">
<title>Methods</title>
<p id="P2">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.</p>
</sec>
<sec id="S3">
<title>Results</title>
<p id="P3">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%.</p>
</sec>
<sec id="S4">
<title>Conclusions</title>
<p id="P4">Influenza activity in the population is significantly associated with asthma hospitalizations in the U.S., 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.</p>
</sec>
</div>
</front>
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