Real-time characterization of risks of death associated with the Middle East respiratory syndrome (MERS) in the Republic of Korea, 2015.
Identifieur interne : 001373 ( PubMed/Checkpoint ); précédent : 001372; suivant : 001374Real-time characterization of risks of death associated with the Middle East respiratory syndrome (MERS) in the Republic of Korea, 2015.
Auteurs : Kenji Mizumoto [Japon] ; Akira Endo [Japon] ; Gerardo Chowell [États-Unis] ; Yuichiro Miyamatsu [Japon] ; Masaya Saitoh [Japon] ; Hiroshi Nishiura [Japon]Source :
- BMC medicine [ 1741-7015 ] ; 2015.
Descripteurs français
- KwdFr :
- MESH :
- mortalité : Infection croisée, Infections à coronavirus.
- épidémiologie : République de Corée.
- Adulte d'âge moyen, Analyse de survie, Analyse multivariée, Facteurs de risque, Femelle, Flambées de maladies, Humains, Mâle.
English descriptors
- KwdEn :
- MESH :
- epidemiology : Republic of Korea.
- mortality : Coronavirus Infections, Cross Infection.
- Disease Outbreaks, Female, Humans, Male, Middle Aged, Multivariate Analysis, Risk Factors, Survival Analysis.
Abstract
An outbreak of the Middle East respiratory syndrome (MERS), comprising 185 cases linked to healthcare facilities, occurred in the Republic of Korea from May to July 2015. Owing to the nosocomial nature of the outbreak, it is particularly important to gain a better understanding of the epidemiological determinants characterizing the risk of MERS death in order to predict the heterogeneous risk of death in medical settings.
DOI: 10.1186/s12916-015-0468-3
PubMed: 26420593
Affiliations:
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associated with the Middle East respiratory syndrome (MERS) in the Republic of Korea, 2015.</title><author><name sortKey="Mizumoto, Kenji" sort="Mizumoto, Kenji" uniqKey="Mizumoto K" first="Kenji" last="Mizumoto">Kenji Mizumoto</name><affiliation wicri:level="4"><nlm:affiliation>Graduate School of Arts and Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo, 1538902, Japan. mizumotokenji@gmail.com.</nlm:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Graduate School of Arts and Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo, 1538902</wicri:regionArea><orgName type="university">Université de Tokyo</orgName><placeName><settlement type="city">Tokyo</settlement><region type="province">Région de Kantō</region></placeName></affiliation></author><author><name sortKey="Endo, Akira" sort="Endo, Akira" uniqKey="Endo A" first="Akira" last="Endo">Akira Endo</name><affiliation wicri:level="4"><nlm:affiliation>Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 1130033, Japan. akr.endo@outlook.jp.</nlm:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 1130033</wicri:regionArea><orgName type="university">Université de Tokyo</orgName><placeName><settlement type="city">Tokyo</settlement><region type="province">Région de Kantō</region></placeName></affiliation></author><author><name sortKey="Chowell, Gerardo" sort="Chowell, Gerardo" uniqKey="Chowell G" first="Gerardo" last="Chowell">Gerardo Chowell</name><affiliation wicri:level="2"><nlm:affiliation>School of Public Health, Georgia State University, Atlanta, Georgia, USA. gchowell@gsu.edu.</nlm:affiliation><country xml:lang="fr">États-Unis</country><wicri:regionArea>School of Public Health, Georgia State University, Atlanta, Georgia</wicri:regionArea><placeName><region type="state">Géorgie (États-Unis)</region></placeName></affiliation></author><author><name sortKey="Miyamatsu, Yuichiro" sort="Miyamatsu, Yuichiro" uniqKey="Miyamatsu Y" first="Yuichiro" last="Miyamatsu">Yuichiro Miyamatsu</name><affiliation wicri:level="4"><nlm:affiliation>Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 1130033, Japan. yuichiromiyamatsu@gmail.com.</nlm:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 1130033</wicri:regionArea><orgName type="university">Université de Tokyo</orgName><placeName><settlement type="city">Tokyo</settlement><region type="province">Région de Kantō</region></placeName></affiliation></author><author><name sortKey="Saitoh, Masaya" sort="Saitoh, Masaya" uniqKey="Saitoh M" first="Masaya" last="Saitoh">Masaya Saitoh</name><affiliation wicri:level="4"><nlm:affiliation>Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 1130033, Japan. saitohm@ism.ac.jp.</nlm:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 1130033</wicri:regionArea><orgName type="university">Université de Tokyo</orgName><placeName><settlement type="city">Tokyo</settlement><region type="province">Région de Kantō</region></placeName></affiliation></author><author><name sortKey="Nishiura, Hiroshi" sort="Nishiura, Hiroshi" uniqKey="Nishiura H" first="Hiroshi" last="Nishiura">Hiroshi Nishiura</name><affiliation wicri:level="4"><nlm:affiliation>Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 1130033, Japan. nishiurah@m.u-tokyo.ac.jp.</nlm:affiliation><country xml:lang="fr">Japon</country><wicri:regionArea>Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 1130033</wicri:regionArea><orgName type="university">Université de Tokyo</orgName><placeName><settlement type="city">Tokyo</settlement><region type="province">Région de Kantō</region></placeName></affiliation></author></analytic><series><title level="j">BMC medicine</title><idno type="eISSN">1741-7015</idno><imprint><date when="2015" type="published">2015</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Coronavirus Infections (mortality)</term><term>Cross Infection (mortality)</term><term>Disease Outbreaks</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Multivariate Analysis</term><term>Republic of Korea (epidemiology)</term><term>Risk Factors</term><term>Survival Analysis</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte d'âge moyen</term><term>Analyse de survie</term><term>Analyse multivariée</term><term>Facteurs de risque</term><term>Femelle</term><term>Flambées de maladies</term><term>Humains</term><term>Infection croisée (mortalité)</term><term>Infections à coronavirus (mortalité)</term><term>Mâle</term><term>République de Corée (épidémiologie)</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Republic of Korea</term></keywords><keywords scheme="MESH" qualifier="mortality" xml:lang="en"><term>Coronavirus Infections</term><term>Cross Infection</term></keywords><keywords scheme="MESH" qualifier="mortalité" xml:lang="fr"><term>Infection croisée</term><term>Infections à coronavirus</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>République de Corée</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Disease Outbreaks</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Multivariate Analysis</term><term>Risk Factors</term><term>Survival Analysis</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte d'âge moyen</term><term>Analyse de survie</term><term>Analyse multivariée</term><term>Facteurs de risque</term><term>Femelle</term><term>Flambées de maladies</term><term>Humains</term><term>Mâle</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">An outbreak of the Middle East respiratory syndrome (MERS), comprising 185 cases linked to healthcare facilities, occurred in the Republic of Korea from May to July 2015. Owing to the nosocomial nature of the outbreak, it is particularly important to gain a better understanding of the epidemiological determinants characterizing the risk of MERS death in order to predict the heterogeneous risk of death in medical settings.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">26420593</PMID><DateCompleted><Year>2016</Year><Month>04</Month><Day>27</Day></DateCompleted><DateRevised><Year>2018</Year><Month>12</Month><Day>02</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1741-7015</ISSN><JournalIssue CitedMedium="Internet"><Volume>13</Volume><PubDate><Year>2015</Year><Month>Sep</Month><Day>30</Day></PubDate></JournalIssue><Title>BMC medicine</Title><ISOAbbreviation>BMC Med</ISOAbbreviation></Journal><ArticleTitle>Real-time characterization of risks of death associated with the Middle East respiratory syndrome (MERS) in the Republic of Korea, 2015.</ArticleTitle><Pagination><MedlinePgn>228</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1186/s12916-015-0468-3</ELocationID><Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">An outbreak of the Middle East respiratory syndrome (MERS), comprising 185 cases linked to healthcare facilities, occurred in the Republic of Korea from May to July 2015. Owing to the nosocomial nature of the outbreak, it is particularly important to gain a better understanding of the epidemiological determinants characterizing the risk of MERS death in order to predict the heterogeneous risk of death in medical settings.</AbstractText><AbstractText Label="METHODS" NlmCategory="METHODS">We have devised a novel statistical model that identifies the risk of MERS death during the outbreak in real time. While accounting for the time delay from illness onset to death, risk factors for death were identified using a linear predictor tied to a logit model. We employ this approach to (1) quantify the risks of death and (2) characterize the temporal evolution of the case fatality ratio (CFR) as case ascertainment greatly improved during the course of the outbreak.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">Senior persons aged 60 years or over were found to be 9.3 times (95% confidence interval (CI), 5.3-16.9) more likely to die compared to younger MERS cases. Patients under treatment were at a 7.8-fold (95% CI, 4.0-16.7) significantly higher risk of death compared to other MERS cases. The CFR among patients aged 60 years or older under treatment was estimated at 48.2% (95% CI, 35.2-61.3) as of July 31, 2015, while the CFR among other cases was estimated to lie below 15%. From June 6, 2015, onwards, the CFR declined 0.3-fold (95% CI, 0.1-1.1) compared to the earlier epidemic period, which may perhaps reflect enhanced case ascertainment following major contact tracing efforts.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">The risk of MERS death was significantly associated with older age as well as treatment for underlying diseases after explicitly adjusting for the delay between illness onset and death. Because MERS outbreaks are greatly amplified in the healthcare setting, enhanced infection control practices in medical facilities should strive to shield risk groups from MERS exposure.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Mizumoto</LastName><ForeName>Kenji</ForeName><Initials>K</Initials><AffiliationInfo><Affiliation>Graduate School of Arts and Sciences, The University of Tokyo, 3-8-1 Komaba, Meguro-ku, Tokyo, 1538902, Japan. mizumotokenji@gmail.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Endo</LastName><ForeName>Akira</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 1130033, Japan. akr.endo@outlook.jp.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Chowell</LastName><ForeName>Gerardo</ForeName><Initials>G</Initials><AffiliationInfo><Affiliation>School of Public Health, Georgia State University, Atlanta, Georgia, USA. gchowell@gsu.edu.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, Maryland, USA. gchowell@gsu.edu.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Miyamatsu</LastName><ForeName>Yuichiro</ForeName><Initials>Y</Initials><AffiliationInfo><Affiliation>Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 1130033, Japan. yuichiromiyamatsu@gmail.com.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>CREST, Japan Science and Technology Agency, Honcho 4-1-8, Kawaguchi, Saitama, 332-0012, Japan. yuichiromiyamatsu@gmail.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Saitoh</LastName><ForeName>Masaya</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 1130033, Japan. saitohm@ism.ac.jp.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>CREST, Japan Science and Technology Agency, Honcho 4-1-8, Kawaguchi, Saitama, 332-0012, Japan. saitohm@ism.ac.jp.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>The Institute of Statistical Mathematics, Tachikawa, Tokyo, Japan. saitohm@ism.ac.jp.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Nishiura</LastName><ForeName>Hiroshi</ForeName><Initials>H</Initials><AffiliationInfo><Affiliation>Graduate School of Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 1130033, Japan. nishiurah@m.u-tokyo.ac.jp.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>CREST, Japan Science and Technology Agency, Honcho 4-1-8, Kawaguchi, Saitama, 332-0012, Japan. nishiurah@m.u-tokyo.ac.jp.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>BB/M008894/1</GrantID><Agency>Biotechnology and Biological Sciences Research Council</Agency><Country>United Kingdom</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D052061">Research Support, N.I.H., Extramural</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType><PublicationType UI="D013486">Research Support, U.S. Gov't, Non-P.H.S.</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2015</Year><Month>09</Month><Day>30</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>BMC Med</MedlineTA><NlmUniqueID>101190723</NlmUniqueID><ISSNLinking>1741-7015</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000401" MajorTopicYN="Y">mortality</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003428" MajorTopicYN="N">Cross Infection</DescriptorName><QualifierName UI="Q000401" MajorTopicYN="Y">mortality</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D004196" MajorTopicYN="Y">Disease Outbreaks</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015999" MajorTopicYN="N">Multivariate Analysis</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D056910" MajorTopicYN="N">Republic of Korea</DescriptorName><QualifierName UI="Q000453" 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IdType="pubmed">16981181</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>Japon</li><li>États-Unis</li></country><region><li>Géorgie (États-Unis)</li><li>Région de Kantō</li></region><settlement><li>Tokyo</li></settlement><orgName><li>Université de Tokyo</li></orgName></list><tree><country name="Japon"><region name="Région de Kantō"><name sortKey="Mizumoto, Kenji" sort="Mizumoto, Kenji" uniqKey="Mizumoto K" first="Kenji" last="Mizumoto">Kenji Mizumoto</name></region><name sortKey="Endo, Akira" sort="Endo, Akira" uniqKey="Endo A" first="Akira" last="Endo">Akira Endo</name><name sortKey="Miyamatsu, Yuichiro" sort="Miyamatsu, Yuichiro" uniqKey="Miyamatsu Y" first="Yuichiro" last="Miyamatsu">Yuichiro Miyamatsu</name><name sortKey="Nishiura, Hiroshi" sort="Nishiura, Hiroshi" uniqKey="Nishiura H" first="Hiroshi" last="Nishiura">Hiroshi Nishiura</name><name sortKey="Saitoh, Masaya" sort="Saitoh, Masaya" uniqKey="Saitoh M" first="Masaya" last="Saitoh">Masaya Saitoh</name></country><country name="États-Unis"><region name="Géorgie (États-Unis)"><name sortKey="Chowell, Gerardo" sort="Chowell, Gerardo" uniqKey="Chowell G" first="Gerardo" last="Chowell">Gerardo Chowell</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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|flux= PubMed
|étape= Checkpoint
|type= RBID
|clé= pubmed:26420593
|texte= Real-time characterization of risks of death associated with the Middle East respiratory syndrome (MERS) in the Republic of Korea, 2015.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Checkpoint/RBID.i -Sk "pubmed:26420593" \
| HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Checkpoint/biblio.hfd \
| NlmPubMed2Wicri -a MersV1
| This area was generated with Dilib version V0.6.33. |  |