Environmental triggers of acute myocardial infarction: results of a nationwide multiple-factorial population study.
Identifieur interne : 000031 ( Main/Exploration ); précédent : 000030; suivant : 000032Environmental triggers of acute myocardial infarction: results of a nationwide multiple-factorial population study.
Auteurs : Marc J. Claeys ; Sarah Coenen ; Charlotte Colpaert ; Joke Bilcke ; Phillip Beutels ; Kristien Wouters ; Victor Legrand ; Pierre Van Damme ; Christiaan VrintsSource :
- Acta cardiologica [ 0001-5385 ] ; 2015.
Descripteurs français
- KwdFr :
- Adulte d'âge moyen, Belgique (épidémiologie), Exposition environnementale (effets indésirables), Facteurs de risque, Femelle, Humains, Incidence, Infarctus du myocarde (), Infarctus du myocarde (épidémiologie), Infarctus du myocarde (étiologie), Intervention coronarienne percutanée (), Mâle, Sujet âgé, Surveillance de la population (), Taux de survie (tendances), Électrocardiographie, Études de suivi, Études rétrospectives, Évaluation des risques ().
- MESH :
- effets indésirables : Exposition environnementale.
- tendances : Taux de survie.
- épidémiologie : Belgique, Infarctus du myocarde.
- étiologie : Infarctus du myocarde.
- Adulte d'âge moyen, Facteurs de risque, Femelle, Humains, Incidence, Infarctus du myocarde, Intervention coronarienne percutanée, Mâle, Sujet âgé, Surveillance de la population, Électrocardiographie, Études de suivi, Études rétrospectives, Évaluation des risques.
- Wicri :
- geographic : Belgique.
English descriptors
- KwdEn :
- Aged, Belgium (epidemiology), Electrocardiography, Environmental Exposure (adverse effects), Female, Follow-Up Studies, Humans, Incidence, Male, Middle Aged, Myocardial Infarction (epidemiology), Myocardial Infarction (etiology), Myocardial Infarction (surgery), Percutaneous Coronary Intervention (methods), Population Surveillance (methods), Retrospective Studies, Risk Assessment (methods), Risk Factors, Survival Rate (trends).
- MESH :
- geographic , epidemiology : Belgium.
- adverse effects : Environmental Exposure.
- epidemiology : Myocardial Infarction.
- etiology : Myocardial Infarction.
- methods : Percutaneous Coronary Intervention, Population Surveillance, Risk Assessment.
- surgery : Myocardial Infarction.
- trends : Survival Rate.
- Aged, Electrocardiography, Female, Follow-Up Studies, Humans, Incidence, Male, Middle Aged, Retrospective Studies, Risk Factors.
Abstract
OBJECTIVE
The objective of this study was to study the independent environmental triggers of ST-elevation myocardial infarction (STEMI) in a multifactorial environmental population model.
METHODS AND RESULTS
Daily counts of all STEMI patients who underwent urgent percutaneous coronary intervention over the period 2006-2009 in Belgium were associated with average daily meteorological data and influenza-like illness incidence data. The following meteorological measures were investigated: particulate matter less than 10 μM (PM10) and less than 2.5 μM (PM(2.5)), ozone, black smoke, temperature and relative humidity. During the study period a total of 15,964 STEMI patients (mean age 63, 75% male) were admitted with a daily average admission rate of 11 ± 4 patients. A multivariate Poisson regression analysis showed that only the temperature was significantly correlated with STEMI, with an 8% increase in the risk of STEMI for each 10°C decrease in temperature (adjusted incidence risk ratio (IRR) 0.92, 95% CI 0.89-0.96). The effects of temperature were consistent among several subpopulations but the strongest effect was seen in diabetic patients (IRR 0.85, 95% CI 0.78 -0.95). There was a trend for an incremental risk of STEMI for each 10 μg/m³ PM(2.5) increase and during influenza epidemics with IRR of 1.02 (95% CI 1.00-1.04) and 1.07 (95% CI 0.98-1.16), respectively.
CONCLUSION
In a global environmental model, low temperature is the most important environmental trigger for STEMI, whereas air pollution and influenza epidemics only seem to have a modest effect.
DOI: 10.2143/AC.70.6.3120182
PubMed: 26717218
Affiliations:
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Claeys</name></author><author><name sortKey="Coenen, Sarah" sort="Coenen, Sarah" uniqKey="Coenen S" first="Sarah" last="Coenen">Sarah Coenen</name></author><author><name sortKey="Colpaert, Charlotte" sort="Colpaert, Charlotte" uniqKey="Colpaert C" first="Charlotte" last="Colpaert">Charlotte Colpaert</name></author><author><name sortKey="Bilcke, Joke" sort="Bilcke, Joke" uniqKey="Bilcke J" first="Joke" last="Bilcke">Joke Bilcke</name></author><author><name sortKey="Beutels, Phillip" sort="Beutels, Phillip" uniqKey="Beutels P" first="Phillip" last="Beutels">Phillip Beutels</name></author><author><name sortKey="Wouters, Kristien" sort="Wouters, Kristien" uniqKey="Wouters K" first="Kristien" last="Wouters">Kristien Wouters</name></author><author><name sortKey="Legrand, Victor" sort="Legrand, Victor" uniqKey="Legrand V" first="Victor" last="Legrand">Victor Legrand</name></author><author><name sortKey="Van Damme, Pierre" sort="Van Damme, Pierre" uniqKey="Van Damme P" first="Pierre" last="Van Damme">Pierre Van Damme</name></author><author><name sortKey="Vrints, Christiaan" sort="Vrints, Christiaan" uniqKey="Vrints C" first="Christiaan" last="Vrints">Christiaan Vrints</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2015">2015</date><idno type="RBID">pubmed:26717218</idno><idno type="pmid">26717218</idno><idno type="doi">10.2143/AC.70.6.3120182</idno><idno type="wicri:Area/Main/Corpus">000024</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000024</idno><idno type="wicri:Area/Main/Curation">000024</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000024</idno><idno type="wicri:Area/Main/Exploration">000024</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Environmental triggers of acute myocardial infarction: results of a nationwide multiple-factorial population study.</title><author><name sortKey="Claeys, Marc J" sort="Claeys, Marc J" uniqKey="Claeys M" first="Marc J" last="Claeys">Marc J. 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xml:lang="fr"><term>Belgique</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>OBJECTIVE</b></p><p>The objective of this study was to study the independent environmental triggers of ST-elevation myocardial infarction (STEMI) in a multifactorial environmental population model.</p></div><div type="abstract" xml:lang="en"><p><b>METHODS AND RESULTS</b></p><p>Daily counts of all STEMI patients who underwent urgent percutaneous coronary intervention over the period 2006-2009 in Belgium were associated with average daily meteorological data and influenza-like illness incidence data. The following meteorological measures were investigated: particulate matter less than 10 μM (PM10) and less than 2.5 μM (PM(2.5)), ozone, black smoke, temperature and relative humidity. During the study period a total of 15,964 STEMI patients (mean age 63, 75% male) were admitted with a daily average admission rate of 11 ± 4 patients. A multivariate Poisson regression analysis showed that only the temperature was significantly correlated with STEMI, with an 8% increase in the risk of STEMI for each 10°C decrease in temperature (adjusted incidence risk ratio (IRR) 0.92, 95% CI 0.89-0.96). The effects of temperature were consistent among several subpopulations but the strongest effect was seen in diabetic patients (IRR 0.85, 95% CI 0.78 -0.95). There was a trend for an incremental risk of STEMI for each 10 μg/m³ PM(2.5) increase and during influenza epidemics with IRR of 1.02 (95% CI 1.00-1.04) and 1.07 (95% CI 0.98-1.16), respectively.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSION</b></p><p>In a global environmental model, low temperature is the most important environmental trigger for STEMI, whereas air pollution and influenza epidemics only seem to have a modest effect.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">26717218</PMID><DateCompleted><Year>2016</Year><Month>02</Month><Day>18</Day></DateCompleted><DateRevised><Year>2017</Year><Month>05</Month><Day>11</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0001-5385</ISSN><JournalIssue CitedMedium="Print"><Volume>70</Volume><Issue>6</Issue><PubDate><Year>2015</Year><Month>Dec</Month></PubDate></JournalIssue><Title>Acta cardiologica</Title><ISOAbbreviation>Acta Cardiol</ISOAbbreviation></Journal><ArticleTitle>Environmental triggers of acute myocardial infarction: results of a nationwide multiple-factorial population study.</ArticleTitle><Pagination><MedlinePgn>693-701</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.2143/AC.70.6.3120182</ELocationID><Abstract><AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">The objective of this study was to study the independent environmental triggers of ST-elevation myocardial infarction (STEMI) in a multifactorial environmental population model.</AbstractText><AbstractText Label="METHODS AND RESULTS" NlmCategory="RESULTS">Daily counts of all STEMI patients who underwent urgent percutaneous coronary intervention over the period 2006-2009 in Belgium were associated with average daily meteorological data and influenza-like illness incidence data. The following meteorological measures were investigated: particulate matter less than 10 μM (PM10) and less than 2.5 μM (PM(2.5)), ozone, black smoke, temperature and relative humidity. During the study period a total of 15,964 STEMI patients (mean age 63, 75% male) were admitted with a daily average admission rate of 11 ± 4 patients. A multivariate Poisson regression analysis showed that only the temperature was significantly correlated with STEMI, with an 8% increase in the risk of STEMI for each 10°C decrease in temperature (adjusted incidence risk ratio (IRR) 0.92, 95% CI 0.89-0.96). The effects of temperature were consistent among several subpopulations but the strongest effect was seen in diabetic patients (IRR 0.85, 95% CI 0.78 -0.95). There was a trend for an incremental risk of STEMI for each 10 μg/m³ PM(2.5) increase and during influenza epidemics with IRR of 1.02 (95% CI 1.00-1.04) and 1.07 (95% CI 0.98-1.16), respectively.</AbstractText><AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">In a global environmental model, low temperature is the most important environmental trigger for STEMI, whereas air pollution and influenza epidemics only seem to have a modest effect.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Claeys</LastName><ForeName>Marc J</ForeName><Initials>MJ</Initials></Author><Author ValidYN="Y"><LastName>Coenen</LastName><ForeName>Sarah</ForeName><Initials>S</Initials></Author><Author ValidYN="Y"><LastName>Colpaert</LastName><ForeName>Charlotte</ForeName><Initials>C</Initials></Author><Author ValidYN="Y"><LastName>Bilcke</LastName><ForeName>Joke</ForeName><Initials>J</Initials></Author><Author 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MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015994" MajorTopicYN="N">Incidence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009203" MajorTopicYN="N">Myocardial Infarction</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000209" MajorTopicYN="Y">etiology</QualifierName><QualifierName UI="Q000601" MajorTopicYN="N">surgery</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D062645" MajorTopicYN="N">Percutaneous Coronary Intervention</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011159" MajorTopicYN="N">Population Surveillance</DescriptorName><QualifierName UI="Q000379" 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Claeys</name><name sortKey="Coenen, Sarah" sort="Coenen, Sarah" uniqKey="Coenen S" first="Sarah" last="Coenen">Sarah Coenen</name><name sortKey="Colpaert, Charlotte" sort="Colpaert, Charlotte" uniqKey="Colpaert C" first="Charlotte" last="Colpaert">Charlotte Colpaert</name><name sortKey="Legrand, Victor" sort="Legrand, Victor" uniqKey="Legrand V" first="Victor" last="Legrand">Victor Legrand</name><name sortKey="Van Damme, Pierre" sort="Van Damme, Pierre" uniqKey="Van Damme P" first="Pierre" last="Van Damme">Pierre Van Damme</name><name sortKey="Vrints, Christiaan" sort="Vrints, Christiaan" uniqKey="Vrints C" first="Christiaan" last="Vrints">Christiaan Vrints</name><name sortKey="Wouters, Kristien" sort="Wouters, Kristien" uniqKey="Wouters K" first="Kristien" last="Wouters">Kristien Wouters</name></noCountry></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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