Estimation of global and regional incidence and prevalence of abdominal aortic aneurysms 1990 to 2010.
Identifieur interne : 003900 ( PubMed/Corpus ); précédent : 003899; suivant : 003901Estimation of global and regional incidence and prevalence of abdominal aortic aneurysms 1990 to 2010.
Auteurs : Uchechukwu K A. Sampson ; Paul E. Norman ; F Gerald R. Fowkes ; Victor Aboyans ; Yanna Song ; Frank E. Harrell ; Mohammad H. Forouzanfar ; Mohsen Naghavi ; Julie O. Denenberg ; Mary M. Mcdermott ; Michael H. Criqui ; George A. Mensah ; Majid Ezzati ; Christopher MurraySource :
- Global heart [ 2211-8179 ] ; 2014.
English descriptors
- KwdEn :
- Adult, Aged, Aortic Aneurysm, Abdominal (epidemiology), Cost of Illness, Developed Countries (statistics & numerical data), Developing Countries (statistics & numerical data), Female, Global Health (statistics & numerical data), Global Health (trends), Humans, Incidence, Male, Middle Aged, Prevalence, Residence Characteristics (statistics & numerical data).
- MESH :
- epidemiology : Aortic Aneurysm, Abdominal.
- statistics & numerical data : Developed Countries, Developing Countries, Global Health, Residence Characteristics.
- trends : Global Health.
- Adult, Aged, Cost of Illness, Female, Humans, Incidence, Male, Middle Aged, Prevalence.
Abstract
The global burden of abdominal aortic aneurysm (AAA) has not been studied previously. Such information is important given the emergence of cardiovascular diseases in developing countries. We conducted a systematic literature review and estimated the global and regional incidence and prevalence of AAA in 21 world regions by age and sex. The search for prevalence and incidence of AAA using standard clinical and epidemiological terms was conducted using MEDLINE (1950 to 2010), EMBASE (1980 to 2010), AMED (1985 to 2010), CINAHL (1982 to 2010), and LILACS (2008 to 2010). Data abstracted from the systematic review served as priors for Bayesian meta-regression analyses. The analysis drew from 26 high-quality studies to estimate AAA prevalence and incidence. In 1990, the global age-specific prevalence rate per 100,000 ranged from 8.43 (95% CI: 7.03 to 10.14) in the 40 to 44 years age group to 2,422.53 (95% CI: 2,298.63 to 2,562.25) in the 75 to 79 years age group; the corresponding range in 2010 was 7.88 (95% CI: 6.54 to 9.59) to 2,274.82 (95% CI: 2,149.77 to 2,410.17). Prevalence was higher in developed versus developing nations, and the rates within each development stratum decreased between 1990 and 2010. Globally, the age-specific annual incidence rate per 100,000 in 1990 ranged from 0.89 (95% CI: 0.66 to 1.17) in 40 to 44 years age group to 176.08 (95% CI: 162.72 to 190.28) in the 75 to 79 years age group. In 2010, this range was 0.83 (95% CI: 0.61 to 1.11) to 164.57 (95% CI: 152.20 to 178.78). The highest prevalence in 1990 was in Australasia and North America high income regions: 382.65 (95% CI: 356.27 to 410.88) and 300.59 (95% CI: 280.93 to 321.54), respectively. Australasia had the highest prevalence in 2010, although the prevalence decreased to 310.27 (95% CI: 289.01 to 332.94). Regional prevalence increased in Oceania, tropical Latin America, Asia Pacific high income, Southern Sub-Saharan Africa (SSA), Central SSA, South Asia, Western SSA, and Central Asia. AAA global prevalence and incidence rates have decreased over the last 20 years. However, rising rates in some regions highlight the need for policies to enhance global disease surveillance and prevention.
DOI: 10.1016/j.gheart.2013.12.009
PubMed: 25432125
Links to Exploration step
pubmed:25432125Le document en format XML
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Mensah</name><affiliation><nlm:affiliation>Center for Translation Research and Implementation Science (CTRIS), National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Ezzati, Majid" sort="Ezzati, Majid" uniqKey="Ezzati M" first="Majid" last="Ezzati">Majid Ezzati</name><affiliation><nlm:affiliation>Institute for Health Metrics and Evaluation, Seattle, WA, USA; School of Public Health, Imperial College London, United Kingdom.</nlm:affiliation></affiliation></author><author><name sortKey="Murray, Christopher" sort="Murray, Christopher" uniqKey="Murray C" first="Christopher" last="Murray">Christopher Murray</name><affiliation><nlm:affiliation>Institute for Health Metrics and Evaluation, Seattle, WA, USA.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2014">2014</date><idno type="RBID">pubmed:25432125</idno><idno type="pmid">25432125</idno><idno type="doi">10.1016/j.gheart.2013.12.009</idno><idno type="wicri:Area/PubMed/Corpus">003900</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">003900</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Estimation of global and regional incidence and prevalence of abdominal aortic aneurysms 1990 to 2010.</title><author><name sortKey="Sampson, Uchechukwu K A" sort="Sampson, Uchechukwu K A" uniqKey="Sampson U" first="Uchechukwu K A" last="Sampson">Uchechukwu K A. Sampson</name><affiliation><nlm:affiliation>Department of Medicine, Vanderbilt University Medical Center (VUMC), Nashville, TN, USA. Electronic address: u.sampson@vanderbilt.edu.</nlm:affiliation></affiliation></author><author><name sortKey="Norman, Paul E" sort="Norman, Paul E" uniqKey="Norman P" first="Paul E" last="Norman">Paul E. Norman</name><affiliation><nlm:affiliation>School of Surgery, University of Western Australia, Fremantle, Western Australia, Australia.</nlm:affiliation></affiliation></author><author><name sortKey="Fowkes, F Gerald R" sort="Fowkes, F Gerald R" uniqKey="Fowkes F" first="F Gerald R" last="Fowkes">F Gerald R. Fowkes</name><affiliation><nlm:affiliation>Centre for Population Health Sciences, University of Edinburgh, Edinburgh, United Kingdom.</nlm:affiliation></affiliation></author><author><name sortKey="Aboyans, Victor" sort="Aboyans, Victor" uniqKey="Aboyans V" first="Victor" last="Aboyans">Victor Aboyans</name><affiliation><nlm:affiliation>Department of Cardiology, Dupuytren University Hospital and INSERM U1094, Tropical Neuro-epidemiology, Limoges, France.</nlm:affiliation></affiliation></author><author><name sortKey="Song, Yanna" sort="Song, Yanna" uniqKey="Song Y" first="Yanna" last="Song">Yanna Song</name><affiliation><nlm:affiliation>Department of Biostatistics, VUMC, Nashville, TN, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Harrell, Frank E" sort="Harrell, Frank E" uniqKey="Harrell F" first="Frank E" last="Harrell">Frank E. Harrell</name><affiliation><nlm:affiliation>Department of Biostatistics, VUMC, Nashville, TN, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Forouzanfar, Mohammad H" sort="Forouzanfar, Mohammad H" uniqKey="Forouzanfar M" first="Mohammad H" last="Forouzanfar">Mohammad H. Forouzanfar</name><affiliation><nlm:affiliation>Institute for Health Metrics and Evaluation, Seattle, WA, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Naghavi, Mohsen" sort="Naghavi, Mohsen" uniqKey="Naghavi M" first="Mohsen" last="Naghavi">Mohsen Naghavi</name><affiliation><nlm:affiliation>Institute for Health Metrics and Evaluation, Seattle, WA, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Denenberg, Julie O" sort="Denenberg, Julie O" uniqKey="Denenberg J" first="Julie O" last="Denenberg">Julie O. Denenberg</name><affiliation><nlm:affiliation>Department of Family and Preventive Medicine, University of California, San Diego, CA, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Mcdermott, Mary M" sort="Mcdermott, Mary M" uniqKey="Mcdermott M" first="Mary M" last="Mcdermott">Mary M. Mcdermott</name><affiliation><nlm:affiliation>Department of Medicine and Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Criqui, Michael H" sort="Criqui, Michael H" uniqKey="Criqui M" first="Michael H" last="Criqui">Michael H. Criqui</name><affiliation><nlm:affiliation>Department of Family and Preventive Medicine, University of California, San Diego, CA, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Mensah, George A" sort="Mensah, George A" uniqKey="Mensah G" first="George A" last="Mensah">George A. Mensah</name><affiliation><nlm:affiliation>Center for Translation Research and Implementation Science (CTRIS), National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.</nlm:affiliation></affiliation></author><author><name sortKey="Ezzati, Majid" sort="Ezzati, Majid" uniqKey="Ezzati M" first="Majid" last="Ezzati">Majid Ezzati</name><affiliation><nlm:affiliation>Institute for Health Metrics and Evaluation, Seattle, WA, USA; School of Public Health, Imperial College London, United Kingdom.</nlm:affiliation></affiliation></author><author><name sortKey="Murray, Christopher" sort="Murray, Christopher" uniqKey="Murray C" first="Christopher" last="Murray">Christopher Murray</name><affiliation><nlm:affiliation>Institute for Health Metrics and Evaluation, Seattle, WA, USA.</nlm:affiliation></affiliation></author></analytic><series><title level="j">Global heart</title><idno type="eISSN">2211-8179</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult</term><term>Aged</term><term>Aortic Aneurysm, Abdominal (epidemiology)</term><term>Cost of Illness</term><term>Developed Countries (statistics & numerical data)</term><term>Developing Countries (statistics & numerical data)</term><term>Female</term><term>Global Health (statistics & numerical data)</term><term>Global Health (trends)</term><term>Humans</term><term>Incidence</term><term>Male</term><term>Middle Aged</term><term>Prevalence</term><term>Residence Characteristics (statistics & numerical data)</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Aortic Aneurysm, Abdominal</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Developed Countries</term><term>Developing Countries</term><term>Global Health</term><term>Residence Characteristics</term></keywords><keywords scheme="MESH" qualifier="trends" xml:lang="en"><term>Global Health</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Aged</term><term>Cost of Illness</term><term>Female</term><term>Humans</term><term>Incidence</term><term>Male</term><term>Middle Aged</term><term>Prevalence</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The global burden of abdominal aortic aneurysm (AAA) has not been studied previously. Such information is important given the emergence of cardiovascular diseases in developing countries. We conducted a systematic literature review and estimated the global and regional incidence and prevalence of AAA in 21 world regions by age and sex. The search for prevalence and incidence of AAA using standard clinical and epidemiological terms was conducted using MEDLINE (1950 to 2010), EMBASE (1980 to 2010), AMED (1985 to 2010), CINAHL (1982 to 2010), and LILACS (2008 to 2010). Data abstracted from the systematic review served as priors for Bayesian meta-regression analyses. The analysis drew from 26 high-quality studies to estimate AAA prevalence and incidence. In 1990, the global age-specific prevalence rate per 100,000 ranged from 8.43 (95% CI: 7.03 to 10.14) in the 40 to 44 years age group to 2,422.53 (95% CI: 2,298.63 to 2,562.25) in the 75 to 79 years age group; the corresponding range in 2010 was 7.88 (95% CI: 6.54 to 9.59) to 2,274.82 (95% CI: 2,149.77 to 2,410.17). Prevalence was higher in developed versus developing nations, and the rates within each development stratum decreased between 1990 and 2010. Globally, the age-specific annual incidence rate per 100,000 in 1990 ranged from 0.89 (95% CI: 0.66 to 1.17) in 40 to 44 years age group to 176.08 (95% CI: 162.72 to 190.28) in the 75 to 79 years age group. In 2010, this range was 0.83 (95% CI: 0.61 to 1.11) to 164.57 (95% CI: 152.20 to 178.78). The highest prevalence in 1990 was in Australasia and North America high income regions: 382.65 (95% CI: 356.27 to 410.88) and 300.59 (95% CI: 280.93 to 321.54), respectively. Australasia had the highest prevalence in 2010, although the prevalence decreased to 310.27 (95% CI: 289.01 to 332.94). Regional prevalence increased in Oceania, tropical Latin America, Asia Pacific high income, Southern Sub-Saharan Africa (SSA), Central SSA, South Asia, Western SSA, and Central Asia. AAA global prevalence and incidence rates have decreased over the last 20 years. However, rising rates in some regions highlight the need for policies to enhance global disease surveillance and prevention.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">25432125</PMID><DateCreated><Year>2014</Year><Month>11</Month><Day>29</Day></DateCreated><DateCompleted><Year>2015</Year><Month>07</Month><Day>27</Day></DateCompleted><DateRevised><Year>2014</Year><Month>11</Month><Day>29</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">2211-8179</ISSN><JournalIssue CitedMedium="Internet"><Volume>9</Volume><Issue>1</Issue><PubDate><Year>2014</Year><Month>Mar</Month></PubDate></JournalIssue><Title>Global heart</Title><ISOAbbreviation>Glob Heart</ISOAbbreviation></Journal><ArticleTitle>Estimation of global and regional incidence and prevalence of abdominal aortic aneurysms 1990 to 2010.</ArticleTitle><Pagination><MedlinePgn>159-70</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.gheart.2013.12.009</ELocationID><ELocationID EIdType="pii" ValidYN="Y">S2211-8160(13)00212-3</ELocationID><Abstract><AbstractText>The global burden of abdominal aortic aneurysm (AAA) has not been studied previously. Such information is important given the emergence of cardiovascular diseases in developing countries. We conducted a systematic literature review and estimated the global and regional incidence and prevalence of AAA in 21 world regions by age and sex. The search for prevalence and incidence of AAA using standard clinical and epidemiological terms was conducted using MEDLINE (1950 to 2010), EMBASE (1980 to 2010), AMED (1985 to 2010), CINAHL (1982 to 2010), and LILACS (2008 to 2010). Data abstracted from the systematic review served as priors for Bayesian meta-regression analyses. The analysis drew from 26 high-quality studies to estimate AAA prevalence and incidence. In 1990, the global age-specific prevalence rate per 100,000 ranged from 8.43 (95% CI: 7.03 to 10.14) in the 40 to 44 years age group to 2,422.53 (95% CI: 2,298.63 to 2,562.25) in the 75 to 79 years age group; the corresponding range in 2010 was 7.88 (95% CI: 6.54 to 9.59) to 2,274.82 (95% CI: 2,149.77 to 2,410.17). Prevalence was higher in developed versus developing nations, and the rates within each development stratum decreased between 1990 and 2010. Globally, the age-specific annual incidence rate per 100,000 in 1990 ranged from 0.89 (95% CI: 0.66 to 1.17) in 40 to 44 years age group to 176.08 (95% CI: 162.72 to 190.28) in the 75 to 79 years age group. In 2010, this range was 0.83 (95% CI: 0.61 to 1.11) to 164.57 (95% CI: 152.20 to 178.78). The highest prevalence in 1990 was in Australasia and North America high income regions: 382.65 (95% CI: 356.27 to 410.88) and 300.59 (95% CI: 280.93 to 321.54), respectively. Australasia had the highest prevalence in 2010, although the prevalence decreased to 310.27 (95% CI: 289.01 to 332.94). Regional prevalence increased in Oceania, tropical Latin America, Asia Pacific high income, Southern Sub-Saharan Africa (SSA), Central SSA, South Asia, Western SSA, and Central Asia. AAA global prevalence and incidence rates have decreased over the last 20 years. However, rising rates in some regions highlight the need for policies to enhance global disease surveillance and prevention.</AbstractText><CopyrightInformation>Copyright © 2014 World Heart Federation (Geneva). Published by Elsevier B.V. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Sampson</LastName><ForeName>Uchechukwu K A</ForeName><Initials>UK</Initials><AffiliationInfo><Affiliation>Department of Medicine, Vanderbilt University Medical Center (VUMC), Nashville, TN, USA. Electronic address: u.sampson@vanderbilt.edu.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Norman</LastName><ForeName>Paul E</ForeName><Initials>PE</Initials><AffiliationInfo><Affiliation>School of Surgery, University of Western Australia, Fremantle, Western Australia, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Fowkes</LastName><ForeName>F Gerald R</ForeName><Initials>FG</Initials><AffiliationInfo><Affiliation>Centre for Population Health Sciences, University of Edinburgh, Edinburgh, United Kingdom.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Aboyans</LastName><ForeName>Victor</ForeName><Initials>V</Initials><AffiliationInfo><Affiliation>Department of Cardiology, Dupuytren University Hospital and INSERM U1094, Tropical Neuro-epidemiology, Limoges, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Song</LastName><ForeName>Yanna</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>Department of Biostatistics, VUMC, Nashville, TN, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Harrell</LastName><ForeName>Frank E</ForeName><Initials>FE</Initials><Suffix>Jr</Suffix><AffiliationInfo><Affiliation>Department of Biostatistics, VUMC, Nashville, TN, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Forouzanfar</LastName><ForeName>Mohammad H</ForeName><Initials>MH</Initials><AffiliationInfo><Affiliation>Institute for Health Metrics and Evaluation, Seattle, WA, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Naghavi</LastName><ForeName>Mohsen</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Institute for Health Metrics and Evaluation, Seattle, WA, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Denenberg</LastName><ForeName>Julie O</ForeName><Initials>JO</Initials><AffiliationInfo><Affiliation>Department of Family and Preventive Medicine, University of California, San Diego, CA, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>McDermott</LastName><ForeName>Mary M</ForeName><Initials>MM</Initials><AffiliationInfo><Affiliation>Department of Medicine and Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Criqui</LastName><ForeName>Michael H</ForeName><Initials>MH</Initials><AffiliationInfo><Affiliation>Department of Family and Preventive Medicine, University of California, San Diego, CA, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Mensah</LastName><ForeName>George A</ForeName><Initials>GA</Initials><AffiliationInfo><Affiliation>Center for Translation Research and Implementation Science (CTRIS), National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ezzati</LastName><ForeName>Majid</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Institute for Health Metrics and Evaluation, Seattle, WA, USA; School of Public Health, Imperial College London, United Kingdom.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Murray</LastName><ForeName>Christopher</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Institute for Health Metrics and Evaluation, Seattle, WA, USA.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D016454">Review</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>Glob Heart</MedlineTA><NlmUniqueID>101584391</NlmUniqueID></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017544" MajorTopicYN="N">Aortic Aneurysm, Abdominal</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D017281" MajorTopicYN="Y">Cost of Illness</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D019049" MajorTopicYN="N">Developed Countries</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003906" MajorTopicYN="N">Developing Countries</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014943" MajorTopicYN="N">Global Health</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName><QualifierName UI="Q000639" MajorTopicYN="Y">trends</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" 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="D015995" MajorTopicYN="N">Prevalence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012111" MajorTopicYN="N">Residence Characteristics</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2014</Year><Month>11</Month><Day>30</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>11</Month><Day>30</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2015</Year><Month>7</Month><Day>28</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">25432125</ArticleId><ArticleId IdType="pii">S2211-8160(13)00212-3</ArticleId><ArticleId IdType="doi">10.1016/j.gheart.2013.12.009</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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