Acute Myocardial Infarctions, Strokes and Influenza: Seasonal and Pandemic Effects
Identifieur interne : 000639 ( Pmc/Checkpoint ); précédent : 000638; suivant : 000640Acute Myocardial Infarctions, Strokes and Influenza: Seasonal and Pandemic Effects
Auteurs : E. D. Foster [États-Unis] ; J. E. Cavanaugh [États-Unis] ; W. G. Haynes [États-Unis] ; M. Yang [États-Unis] ; A. K. Gerke [États-Unis] ; F. Tang [États-Unis] ; P. M. Polgreen [États-Unis]Source :
- Epidemiology and infection [ 0950-2688 ] ; 2013.
Abstract
The incidence of myocardial infarctions and influenza follow similar seasonal patterns. To determine if acute myocardial infarctions (AMIs) and ischemic strokes are associated with influenza activity, we built time series models using data from the Nationwide Inpatient Sample. In these models, we used influenza activity to predict the incidence of AMI and ischemic stroke. We fit national models as well as models based on four geographic regions and five age groups. Across all models, we found consistent significant associations between AMIs and influenza activity, but not between ischemic strokes and influenza. Associations between influenza and AMI increased with age, were greatest in those over 80 years old, and were present in all geographic regions. In addition, the natural experiment provided by the second wave of the influenza pandemic in 2009 provided further evidence of the relationship between influenza and AMI, because both series peaked in the same non-winter month.
Url:
DOI: 10.1017/S0950268812002890
PubMed: 23286343
PubMed Central: 3733340
Affiliations:
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<front><div type="abstract" xml:lang="en"><title>SUMMARY</title>
<p id="P2">The incidence of myocardial infarctions and influenza follow similar seasonal patterns. To determine if acute myocardial infarctions (AMIs) and ischemic strokes are associated with influenza activity, we built time series models using data from the Nationwide Inpatient Sample. In these models, we used influenza activity to predict the incidence of AMI and ischemic stroke. We fit national models as well as models based on four geographic regions and five age groups. Across all models, we found consistent significant associations between AMIs and influenza activity, but not between ischemic strokes and influenza. Associations between influenza and AMI increased with age, were greatest in those over 80 years old, and were present in all geographic regions. In addition, the natural experiment provided by the second wave of the influenza pandemic in 2009 provided further evidence of the relationship between influenza and AMI, because both series peaked in the same non-winter month.</p>
</div>
</front>
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<pmc article-type="research-article"><pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
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<front><journal-meta><journal-id journal-id-type="nlm-journal-id">8703737</journal-id>
<journal-id journal-id-type="pubmed-jr-id">3646</journal-id>
<journal-id journal-id-type="nlm-ta">Epidemiol Infect</journal-id>
<journal-id journal-id-type="iso-abbrev">Epidemiol. Infect.</journal-id>
<journal-title-group><journal-title>Epidemiology and infection</journal-title>
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<issn pub-type="epub">1469-4409</issn>
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<article-id pub-id-type="pmc">3733340</article-id>
<article-id pub-id-type="doi">10.1017/S0950268812002890</article-id>
<article-id pub-id-type="manuscript">NIHMS489778</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
</subj-group>
</article-categories>
<title-group><article-title>Acute Myocardial Infarctions, Strokes and Influenza: Seasonal and Pandemic Effects</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Foster</surname>
<given-names>E. D.</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Cavanaugh</surname>
<given-names>J. E.</given-names>
</name>
<xref ref-type="aff" rid="A1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Haynes</surname>
<given-names>W. G.</given-names>
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<xref ref-type="aff" rid="A2">2</xref>
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<contrib contrib-type="author"><name><surname>Yang</surname>
<given-names>M.</given-names>
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<xref ref-type="aff" rid="A1">1</xref>
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<contrib contrib-type="author"><name><surname>Gerke</surname>
<given-names>A. K.</given-names>
</name>
<xref ref-type="aff" rid="A3">3</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Tang</surname>
<given-names>F.</given-names>
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<xref ref-type="aff" rid="A1">1</xref>
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<contrib contrib-type="author"><name><surname>Polgreen</surname>
<given-names>P. M.</given-names>
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<xref ref-type="aff" rid="A4">4</xref>
<xref ref-type="aff" rid="A5">5</xref>
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<aff id="A1"><label>1</label>
Department of Biostatistics, College of Public Health, University of Iowa, Iowa City, Iowa</aff>
<aff id="A2"><label>2</label>
General Clinical Research Center, Department of Internal Medicine, Carver College of Medicine, University of Iowa, Iowa City, Iowa</aff>
<aff id="A3"><label>3</label>
Division of Pulmonary and Critical Care, Department of Internal Medicine, University of Iowa, Iowa City, Iowa</aff>
<aff id="A4"><label>4</label>
Division of Infectious Diseases, Department of Internal Medicine, Carver College of Medicine, University of Iowa, Iowa City, Iowa</aff>
<aff id="A5"><label>5</label>
Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, Iowa</aff>
<author-notes><corresp id="FN1">Correspondence: Eric D. Foster, Department of Biostatistics – College of Public Health, 105 River Street – The University of Iowa, Iowa City, IA 52242. (319) 384-8421. <email>eric-foster@uiowa.edu</email>
</corresp>
<fn id="FN2" fn-type="conflict"><p><bold>DISCLOSURES</bold>
</p>
<p>The authors have no conflicts of interest.</p>
</fn>
</author-notes>
<pub-date pub-type="nihms-submitted"><day>28</day>
<month>6</month>
<year>2013</year>
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<pub-date pub-type="epub"><day>03</day>
<month>1</month>
<year>2013</year>
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<pub-date pub-type="ppub"><month>4</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="pmc-release"><day>01</day>
<month>4</month>
<year>2014</year>
</pub-date>
<volume>141</volume>
<issue>4</issue>
<fpage>735</fpage>
<lpage>744</lpage>
<abstract><title>SUMMARY</title>
<p id="P2">The incidence of myocardial infarctions and influenza follow similar seasonal patterns. To determine if acute myocardial infarctions (AMIs) and ischemic strokes are associated with influenza activity, we built time series models using data from the Nationwide Inpatient Sample. In these models, we used influenza activity to predict the incidence of AMI and ischemic stroke. We fit national models as well as models based on four geographic regions and five age groups. Across all models, we found consistent significant associations between AMIs and influenza activity, but not between ischemic strokes and influenza. Associations between influenza and AMI increased with age, were greatest in those over 80 years old, and were present in all geographic regions. In addition, the natural experiment provided by the second wave of the influenza pandemic in 2009 provided further evidence of the relationship between influenza and AMI, because both series peaked in the same non-winter month.</p>
</abstract>
<kwd-group><kwd>acute myocardial infarction</kwd>
<kwd>ischemic stroke</kwd>
<kwd>influenza</kwd>
<kwd>pandemic</kwd>
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<funding-group><award-group><funding-source country="United States">National Institute of Allergy and Infectious Diseases Extramural Activities : NIAID</funding-source>
<award-id>K01 AI075089 || AI</award-id>
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<affiliations><list><country><li>États-Unis</li>
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