Estimating survival rates in MERS-CoV patients 14 and 45 days after experiencing symptoms and determining the differences in survival rates by demographic data, disease characteristics and regions: a worldwide study
Identifieur interne : 000C52 ( Pmc/Curation ); précédent : 000C51; suivant : 000C53Estimating survival rates in MERS-CoV patients 14 and 45 days after experiencing symptoms and determining the differences in survival rates by demographic data, disease characteristics and regions: a worldwide study
Auteurs : Anwar E. AhmedSource :
- Epidemiology and Infection [ 0950-2688 ] ; 2017.
Abstract
Although Middle East respiratory syndrome coronavirus (MERS-CoV) has a recorded 5 years of circulation in 27 countries worldwide, there is no international study to assess whether there is variation in mortality by region. Neither has there been a comprehensive study detailing how the disease characteristics of MERS-CoV influence mortality in patients presenting symptoms. This study aimed to assess how region, patient and disease characteristics influence 14- and 45-day mortality in MERS patients. The author utilised publically available data on MERS-CoV. The study included 883 MERS patients reported between 5 January 2015 and 10 March 2017. Data on patient and disease characteristics were collected. The mean age at MERS-CoV diagnosis was 54.3 years: 69.1% were male, and 86.7% of the cases were reported from Saudi Arabia. About 40% of MERS patients studied were over the age of 60. The study estimated 14- and 45-day survival rates after initial onset of symptoms: 83.67% and 65.9%, respectively. Saudi Arabian MERS patients exhibited 4.1 and 5.0 times higher 14-day (adjusted hazard risk (aHR) = 4.1; 95% confidence interval (CI) 1.012–16.921) and 45-day (aHR = 5.0; 95% CI 1.856–13.581) mortality risk compared with MERS patients in the Republic of Korea or other countries. Similarly, Middle Eastern MERS patients showed 5.3 and 4.1 times higher 14-day (aHR = 5.3; 95% CI 1.070–25.902) and 45-day (aHR = 4.1; 95% CI 1.288–113.076) mortality risk compared with MERS patients in the Republic of Korea or other countries. The results demonstrated a link between mortality and geography, disease and patient factors such as regions, symptoms, source of infections, underlying medical conditions, modes of transmission, non-healthcare workers and those of older age. Educational programmes, access to healthcare and early diagnosis could be implemented as modifiable factors to reduce the higher mortality rates in MERS patients.
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DOI: 10.1017/S095026881700293X
PubMed: 29271336
PubMed Central: 7113020
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Estimating survival rates in MERS-CoV patients 14 and 45 days after experiencing symptoms and determining the differences in survival rates by demographic data, disease characteristics and regions: a worldwide study</title><author><name sortKey="Ahmed, Anwar E" sort="Ahmed, Anwar E" uniqKey="Ahmed A" first="Anwar E." last="Ahmed">Anwar E. Ahmed</name><affiliation><nlm:aff id="aff1"></nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">29271336</idno><idno type="pmc">7113020</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7113020</idno><idno type="RBID">PMC:7113020</idno><idno type="doi">10.1017/S095026881700293X</idno><date when="2017">2017</date><idno type="wicri:Area/Pmc/Corpus">000C52</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000C52</idno><idno type="wicri:Area/Pmc/Curation">000C52</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">000C52</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Estimating survival rates in MERS-CoV patients 14 and 45 days after experiencing symptoms and determining the differences in survival rates by demographic data, disease characteristics and regions: a worldwide study</title><author><name sortKey="Ahmed, Anwar E" sort="Ahmed, Anwar E" uniqKey="Ahmed A" first="Anwar E." last="Ahmed">Anwar E. Ahmed</name><affiliation><nlm:aff id="aff1"></nlm:aff></affiliation></author></analytic><series><title level="j">Epidemiology and Infection</title><idno type="ISSN">0950-2688</idno><idno type="eISSN">1469-4409</idno><imprint><date when="2017">2017</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>Although Middle East respiratory syndrome coronavirus (MERS-CoV) has a recorded 5 years of circulation in 27 countries worldwide, there is no international study to assess whether there is variation in mortality by region. Neither has there been a comprehensive study detailing how the disease characteristics of MERS-CoV influence mortality in patients presenting symptoms. This study aimed to assess how region, patient and disease characteristics influence 14- and 45-day mortality in MERS patients. The author utilised publically available data on MERS-CoV. The study included 883 MERS patients reported between 5 January 2015 and 10 March 2017. Data on patient and disease characteristics were collected. The mean age at MERS-CoV diagnosis was 54.3 years: 69.1% were male, and 86.7% of the cases were reported from Saudi Arabia. About 40% of MERS patients studied were over the age of 60. The study estimated 14- and 45-day survival rates after initial onset of symptoms: 83.67% and 65.9%, respectively. Saudi Arabian MERS patients exhibited 4.1 and 5.0 times higher 14-day (adjusted hazard risk (aHR) = 4.1; 95% confidence interval (CI) 1.012–16.921) and 45-day (aHR = 5.0; 95% CI 1.856–13.581) mortality risk compared with MERS patients in the Republic of Korea or other countries. Similarly, Middle Eastern MERS patients showed 5.3 and 4.1 times higher 14-day (aHR = 5.3; 95% CI 1.070–25.902) and 45-day (aHR = 4.1; 95% CI 1.288–113.076) mortality risk compared with MERS patients in the Republic of Korea or other countries. The results demonstrated a link between mortality and geography, disease and patient factors such as regions, symptoms, source of infections, underlying medical conditions, modes of transmission, non-healthcare workers and those of older age. Educational programmes, access to healthcare and early diagnosis could be implemented as modifiable factors to reduce the higher mortality rates in MERS patients.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Feikin, Dr" uniqKey="Feikin D">DR Feikin</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Al Ghamdi, M" uniqKey="Al Ghamdi M">M Al Ghamdi</name></author><author><name sortKey="Alghamdi, Km" uniqKey="Alghamdi K">KM Alghamdi</name></author><author><name sortKey="Ghandoora, Y" uniqKey="Ghandoora Y">Y Ghandoora</name></author><author><name sortKey="Alzahrani, A" uniqKey="Alzahrani A">A Alzahrani</name></author><author><name sortKey="Salah, F" uniqKey="Salah F">F Salah</name></author><author><name sortKey="Alsulami, A" uniqKey="Alsulami A">A Alsulami</name></author><author><name sortKey="Bawayan, Mf" uniqKey="Bawayan M">MF Bawayan</name></author><author><name sortKey="Vaidya, D" uniqKey="Vaidya 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S">S Al-Hajjar</name></author><author><name sortKey="Al Barrak, A" uniqKey="Al Barrak A">A Al-Barrak</name></author><author><name sortKey="Flemban, H" uniqKey="Flemban H">H Flemban</name></author><author><name sortKey="Al Nassir, Wn" uniqKey="Al Nassir W">WN Al-Nassir</name></author><author><name sortKey="Balkhy, Hh" uniqKey="Balkhy H">HH Balkhy</name></author><author><name sortKey="Al Hakeem, Rf" uniqKey="Al Hakeem R">RF Al-Hakeem</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Pavli, A" uniqKey="Pavli A">A Pavli</name></author><author><name sortKey="Tsiodras, S" uniqKey="Tsiodras S">S Tsiodras</name></author><author><name sortKey="Maltezou, Hc" uniqKey="Maltezou H">HC Maltezou</name></author></analytic></biblStruct></listBibl></div1></back></TEI><pmc article-type="research-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Epidemiol Infect</journal-id><journal-id journal-id-type="iso-abbrev">Epidemiol. Infect</journal-id><journal-id journal-id-type="publisher-id">HYG</journal-id><journal-title-group><journal-title>Epidemiology and Infection</journal-title></journal-title-group><issn pub-type="ppub">0950-2688</issn><issn pub-type="epub">1469-4409</issn><publisher><publisher-name>Cambridge University Press</publisher-name><publisher-loc>Cambridge, UK</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">29271336</article-id><article-id pub-id-type="pmc">7113020</article-id><article-id pub-id-type="doi">10.1017/S095026881700293X</article-id><article-id pub-id-type="pii">S095026881700293X</article-id><article-id pub-id-type="publisher-id">00293</article-id><article-categories><subj-group subj-group-type="heading"><subject>Original Papers</subject></subj-group><subj-group subj-group-type="section"><subject>MERS-CoV</subject></subj-group></article-categories><title-group><article-title>Estimating survival rates in MERS-CoV patients 14 and 45 days after experiencing symptoms and determining the differences in survival rates by demographic data, disease characteristics and regions: a worldwide study</article-title><alt-title alt-title-type="left-running">Anwar E. Ahmed</alt-title><alt-title alt-title-type="right-running"><italic>Epidemiology & Infection</italic></alt-title></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid" authenticated="false">http://orcid.org/0000-0001-8743-6007</contrib-id><name><surname>Ahmed</surname><given-names>Anwar E.</given-names></name><xref ref-type="aff" rid="aff1"></xref><xref ref-type="corresp" rid="cor1"></xref></contrib></contrib-group><aff id="aff1"><addr-line>King Abdullah International Medical Research Center (KAIMRC)/College of Public Health and Health Informatics</addr-line>,<institution>King Saud bin Abdulaziz University for Health Sciences</institution>,<addr-line>Riyadh</addr-line>,<country>Saudi Arabia</country></aff><author-notes><corresp id="cor1"><bold>Author for correspondence:</bold> Anwar E. Ahmed, E-mail: <email>ahmeda5@vcu.edu</email></corresp></author-notes><pub-date pub-type="ppub"><month>3</month><year>2018</year></pub-date><pub-date pub-type="epub"><day>22</day><month>12</month><year>2017</year></pub-date><volume>146</volume><issue>4</issue><fpage>489</fpage><lpage>495</lpage><history><date date-type="received"><day>11</day><month>4</month><year>2017</year></date><date date-type="rev-recd"><day>25</day><month>10</month><year>2017</year></date><date date-type="accepted"><day>22</day><month>11</month><year>2017</year></date></history><permissions><copyright-statement>© Cambridge University Press 2017</copyright-statement><copyright-year>2017</copyright-year><copyright-holder>Cambridge University Press</copyright-holder><license license-type="other" xlink:href="simple"><license-p>This article is made available via the PMC Open Access Subset for unrestricted re-use and analyses in any form or by any means subject to acknowledgement of the original source. These permissions are granted for the duration of the COVID-19 pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.</license-p></license></permissions><self-uri xlink:title="pdf" xlink:href="S095026881700293Xa.pdf"></self-uri><abstract abstract-type="normal"><p>Although Middle East respiratory syndrome coronavirus (MERS-CoV) has a recorded 5 years of circulation in 27 countries worldwide, there is no international study to assess whether there is variation in mortality by region. Neither has there been a comprehensive study detailing how the disease characteristics of MERS-CoV influence mortality in patients presenting symptoms. This study aimed to assess how region, patient and disease characteristics influence 14- and 45-day mortality in MERS patients. The author utilised publically available data on MERS-CoV. The study included 883 MERS patients reported between 5 January 2015 and 10 March 2017. Data on patient and disease characteristics were collected. The mean age at MERS-CoV diagnosis was 54.3 years: 69.1% were male, and 86.7% of the cases were reported from Saudi Arabia. About 40% of MERS patients studied were over the age of 60. The study estimated 14- and 45-day survival rates after initial onset of symptoms: 83.67% and 65.9%, respectively. Saudi Arabian MERS patients exhibited 4.1 and 5.0 times higher 14-day (adjusted hazard risk (aHR) = 4.1; 95% confidence interval (CI) 1.012–16.921) and 45-day (aHR = 5.0; 95% CI 1.856–13.581) mortality risk compared with MERS patients in the Republic of Korea or other countries. Similarly, Middle Eastern MERS patients showed 5.3 and 4.1 times higher 14-day (aHR = 5.3; 95% CI 1.070–25.902) and 45-day (aHR = 4.1; 95% CI 1.288–113.076) mortality risk compared with MERS patients in the Republic of Korea or other countries. The results demonstrated a link between mortality and geography, disease and patient factors such as regions, symptoms, source of infections, underlying medical conditions, modes of transmission, non-healthcare workers and those of older age. Educational programmes, access to healthcare and early diagnosis could be implemented as modifiable factors to reduce the higher mortality rates in MERS patients.</p></abstract><kwd-group><title>Key words</title><kwd>Camels</kwd><kwd>MERS-CoV</kwd><kwd>older age</kwd><kwd>Republic of Korea</kwd><kwd>Saudi Arabia</kwd></kwd-group><counts><fig-count count="4"></fig-count><table-count count="3"></table-count><ref-count count="17"></ref-count><page-count count="7"></page-count></counts></article-meta></front></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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