MersV1, PubMed, Curation, bibRecord, 000966

Early identification of pneumonia patients at increased risk of Middle East respiratory syndrome coronavirus infection in Saudi Arabia.

Identifieur interne : 000966 ( PubMed/Curation ); précédent : 000965; suivant : 000967

Early identification of pneumonia patients at increased risk of Middle East respiratory syndrome coronavirus infection in Saudi Arabia.

Source :

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases [ 1878-3511 ] ; 2018.

RBID : pubmed:29550445

Descripteurs français

KwdFr :
- Adolescent, Adulte, Adulte d'âge moyen, Alanine transaminase (métabolisme), Animaux, Arabie saoudite (épidémiologie), Chameaux, Coronavirus du syndrome respiratoire du Moyen-Orient (génétique), Coronavirus du syndrome respiratoire du Moyen-Orient (isolement et purification), Diagnostic précoce, Femelle, Humains, Infections à coronavirus (), Infections à coronavirus (traitement médicamenteux), Infections à coronavirus (virologie), Infections à coronavirus (épidémiologie), Jeune adulte, Mise au point de programmes, Mâle, Pneumopathie infectieuse (), Pneumopathie infectieuse (diagnostic), Pneumopathie infectieuse (immunologie), Pneumopathie infectieuse (épidémiologie), Risque, Réaction de polymérisation en chaine en temps réel, Sujet âgé, Sujet âgé de 80 ans ou plus, Valeur prédictive des tests, Études cas-témoins, Études rétrospectives.
MESH :
- diagnostic : Pneumopathie infectieuse.
- génétique : Coronavirus du syndrome respiratoire du Moyen-Orient.
- immunologie : Pneumopathie infectieuse.
- isolement et purification : Coronavirus du syndrome respiratoire du Moyen-Orient.
- métabolisme : Alanine transaminase.
- traitement médicamenteux : Infections à coronavirus.
- virologie : Infections à coronavirus.
- épidémiologie : Arabie saoudite, Infections à coronavirus, Pneumopathie infectieuse.
- Adolescent, Adulte, Adulte d'âge moyen, Animaux, Chameaux, Diagnostic précoce, Femelle, Humains, Infections à coronavirus, Jeune adulte, Mise au point de programmes, Mâle, Pneumopathie infectieuse, Risque, Réaction de polymérisation en chaine en temps réel, Sujet âgé, Sujet âgé de 80 ans ou plus, Valeur prédictive des tests, Études cas-témoins, Études rétrospectives.
Wicri :
- geographic : Arabie saoudite.

English descriptors

KwdEn :
- Adolescent, Adult, Aged, Aged, 80 and over, Alanine Transaminase (metabolism), Animals, Camelus, Case-Control Studies, Coronavirus Infections (complications), Coronavirus Infections (drug therapy), Coronavirus Infections (epidemiology), Coronavirus Infections (virology), Early Diagnosis, Female, Humans, Male, Middle Aged, Middle East Respiratory Syndrome Coronavirus (genetics), Middle East Respiratory Syndrome Coronavirus (isolation & purification), Pneumonia (complications), Pneumonia (diagnosis), Pneumonia (epidemiology), Pneumonia (immunology), Predictive Value of Tests, Program Development, Real-Time Polymerase Chain Reaction, Retrospective Studies, Risk, Saudi Arabia (epidemiology), Young Adult.
MESH :
- chemical , metabolism : Alanine Transaminase.
- geographic , epidemiology : Saudi Arabia.
- complications : Coronavirus Infections, Pneumonia.
- diagnosis : Pneumonia.
- drug therapy : Coronavirus Infections.
- epidemiology : Coronavirus Infections, Pneumonia.
- genetics : Middle East Respiratory Syndrome Coronavirus.
- immunology : Pneumonia.
- isolation & purification : Middle East Respiratory Syndrome Coronavirus.
- virology : Coronavirus Infections.
- Adolescent, Adult, Aged, Aged, 80 and over, Animals, Camelus, Case-Control Studies, Early Diagnosis, Female, Humans, Male, Middle Aged, Predictive Value of Tests, Program Development, Real-Time Polymerase Chain Reaction, Retrospective Studies, Risk, Young Adult.

Abstract

The rapid and accurate identification of individuals who are at high risk of Middle East respiratory syndrome coronavirus (MERS-CoV) infection remains a major challenge for the medical and scientific communities. The aim of this study was to develop and validate a risk prediction model for the screening of suspected cases of MERS-CoV infection in patients who have developed pneumonia.

DOI: 10.1016/j.ijid.2018.03.005
PubMed: 29550445

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Le document en format XML

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<sourceDesc><biblStruct><analytic><title xml:lang="en">Early identification of pneumonia patients at increased risk of Middle East respiratory syndrome coronavirus infection in Saudi Arabia.</title>
<author><name sortKey="Ahmed, Anwar E" sort="Ahmed, Anwar E" uniqKey="Ahmed A" first="Anwar E" last="Ahmed">Anwar E. Ahmed</name>
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<author><name sortKey="Siddiq, Salma S" sort="Siddiq, Salma S" uniqKey="Siddiq S" first="Salma S" last="Siddiq">Salma S. Siddiq</name>
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<author><name sortKey="Alsaab, Hanan" sort="Alsaab, Hanan" uniqKey="Alsaab H" first="Hanan" last="Alsaab">Hanan Alsaab</name>
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<author><name sortKey="Alyahya, Hamed A" sort="Alyahya, Hamed A" uniqKey="Alyahya H" first="Hamed A" last="Alyahya">Hamed A. Alyahya</name>
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<author><name sortKey="Alandonisi, Munzir M" sort="Alandonisi, Munzir M" uniqKey="Alandonisi M" first="Munzir M" last="Alandonisi">Munzir M. Alandonisi</name>
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<country xml:lang="fr">Arabie saoudite</country>
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<author><name sortKey="Subedar, Alaa T" sort="Subedar, Alaa T" uniqKey="Subedar A" first="Alaa T" last="Subedar">Alaa T. Subedar</name>
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<author><name sortKey="Aloudah, Nouf M" sort="Aloudah, Nouf M" uniqKey="Aloudah N" first="Nouf M" last="Aloudah">Nouf M. Aloudah</name>
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<author><name sortKey="Baharoon, Salim" sort="Baharoon, Salim" uniqKey="Baharoon S" first="Salim" last="Baharoon">Salim Baharoon</name>
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</affiliation>
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<author><name sortKey="Alsalamah, Majid A" sort="Alsalamah, Majid A" uniqKey="Alsalamah M" first="Majid A" last="Alsalamah">Majid A. Alsalamah</name>
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<author><name sortKey="Al Johani, Sameera" sort="Al Johani, Sameera" uniqKey="Al Johani S" first="Sameera" last="Al Johani">Sameera Al Johani</name>
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</affiliation>
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<author><name sortKey="Alghamdi, Mohammed G" sort="Alghamdi, Mohammed G" uniqKey="Alghamdi M" first="Mohammed G" last="Alghamdi">Mohammed G. Alghamdi</name>
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<country xml:lang="fr">Arabie saoudite</country>
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</affiliation>
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<imprint><date when="2018" type="published">2018</date>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent</term>
<term>Adult</term>
<term>Aged</term>
<term>Aged, 80 and over</term>
<term>Alanine Transaminase (metabolism)</term>
<term>Animals</term>
<term>Camelus</term>
<term>Case-Control Studies</term>
<term>Coronavirus Infections (complications)</term>
<term>Coronavirus Infections (drug therapy)</term>
<term>Coronavirus Infections (epidemiology)</term>
<term>Coronavirus Infections (virology)</term>
<term>Early Diagnosis</term>
<term>Female</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Middle East Respiratory Syndrome Coronavirus (genetics)</term>
<term>Middle East Respiratory Syndrome Coronavirus (isolation & purification)</term>
<term>Pneumonia (complications)</term>
<term>Pneumonia (diagnosis)</term>
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<term>Pneumonia (immunology)</term>
<term>Predictive Value of Tests</term>
<term>Program Development</term>
<term>Real-Time Polymerase Chain Reaction</term>
<term>Retrospective Studies</term>
<term>Risk</term>
<term>Saudi Arabia (epidemiology)</term>
<term>Young Adult</term>
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<front><div type="abstract" xml:lang="en">The rapid and accurate identification of individuals who are at high risk of Middle East respiratory syndrome coronavirus (MERS-CoV) infection remains a major challenge for the medical and scientific communities. The aim of this study was to develop and validate a risk prediction model for the screening of suspected cases of MERS-CoV infection in patients who have developed pneumonia.</div>
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<DateCompleted><Year>2018</Year>
<Month>09</Month>
<Day>27</Day>
</DateCompleted>
<DateRevised><Year>2020</Year>
<Month>04</Month>
<Day>07</Day>
</DateRevised>
<Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1878-3511</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>70</Volume>
<PubDate><Year>2018</Year>
<Month>May</Month>
</PubDate>
</JournalIssue>
<Title>International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases</Title>
<ISOAbbreviation>Int. J. Infect. Dis.</ISOAbbreviation>
</Journal>
<ArticleTitle>Early identification of pneumonia patients at increased risk of Middle East respiratory syndrome coronavirus infection in Saudi Arabia.</ArticleTitle>
<Pagination><MedlinePgn>51-56</MedlinePgn>
</Pagination>
<ELocationID EIdType="pii" ValidYN="Y">S1201-9712(18)30064-X</ELocationID>
<ELocationID EIdType="doi" ValidYN="Y">10.1016/j.ijid.2018.03.005</ELocationID>
<Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">The rapid and accurate identification of individuals who are at high risk of Middle East respiratory syndrome coronavirus (MERS-CoV) infection remains a major challenge for the medical and scientific communities. The aim of this study was to develop and validate a risk prediction model for the screening of suspected cases of MERS-CoV infection in patients who have developed pneumonia.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">A two-center, retrospective case-control study was performed. A total of 360 patients with confirmed pneumonia who were evaluated for MERS-CoV infection by real-time reverse transcription polymerase chain reaction (rRT-PCR) between September 1, 2012 and June 1, 2016 at King Abdulaziz Medical City in Riyadh and King Fahad General Hospital in Jeddah, were included. According to the rRT-PCR results, 135 patients were positive for MERS-CoV and 225 were negative. Demographic characteristics, clinical presentations, and radiological and laboratory findings were collected for each subject.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">A risk prediction model to identify pneumonia patients at increased risk of MERS-CoV was developed. The model included male sex, contact with a sick patient or camel, diabetes, severe illness, low white blood cell (WBC) count, low alanine aminotransferase (ALT), and high aspartate aminotransferase (AST). The model performed well in predicting MERS-CoV infection (area under the receiver operating characteristics curves (AUC) 0.8162), on internal validation (AUC 0.8037), and on a goodness-of-fit test (p=0.592). The risk prediction model, which produced an optimal probability cut-off of 0.33, had a sensitivity of 0.716 and specificity of 0.783.</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">This study provides a simple, practical, and valid algorithm to identify pneumonia patients at increased risk of MERS-CoV infection. This risk prediction model could be useful for the early identification of patients at the highest risk of MERS-CoV infection. Further validation of the prediction model on a large prospective cohort of representative patients with pneumonia is necessary.</AbstractText>
<CopyrightInformation>Copyright © 2018 The Author(s). Published by Elsevier Ltd.. All rights reserved.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Ahmed</LastName>
<ForeName>Anwar E</ForeName>
<Initials>AE</Initials>
<AffiliationInfo><Affiliation>King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City (KAMC), Ministry of National Guard - Health Affairs, Riyadh 11426, Saudi Arabia. Electronic address: ahmeda5@vcu.edu.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Al-Jahdali</LastName>
<ForeName>Hamdan</ForeName>
<Initials>H</Initials>
<AffiliationInfo><Affiliation>King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City (KAMC), Ministry of National Guard - Health Affairs, Riyadh 11426, Saudi Arabia. Electronic address: jahdalih@gamil.com.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Alshukairi</LastName>
<ForeName>Abeer N</ForeName>
<Initials>AN</Initials>
<AffiliationInfo><Affiliation>King Faisal Specialist Hospital and Research Centre, Jeddah, Saudi Arabia. Electronic address: Abeer.Alshukairi@gmail.com.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Alaqeel</LastName>
<ForeName>Mody</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City (KAMC), Ministry of National Guard - Health Affairs, Riyadh 11426, Saudi Arabia. Electronic address: modyalaqeel@gmail.com.</Affiliation>
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</Author>
<Author ValidYN="Y"><LastName>Siddiq</LastName>
<ForeName>Salma S</ForeName>
<Initials>SS</Initials>
<AffiliationInfo><Affiliation>King Fahad General Hospital, Jeddah, Saudi Arabia. Electronic address: salmasiddiqua123@gmail.com.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Alsaab</LastName>
<ForeName>Hanan</ForeName>
<Initials>H</Initials>
<AffiliationInfo><Affiliation>King Fahad General Hospital, Jeddah, Saudi Arabia. Electronic address: haaalsaab@moh.gov.sa.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Sakr</LastName>
<ForeName>Ezzeldin A</ForeName>
<Initials>EA</Initials>
<AffiliationInfo><Affiliation>King Fahad General Hospital, Jeddah, Saudi Arabia. Electronic address: ezzsakr@hotmail.com.</Affiliation>
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</Author>
<Author ValidYN="Y"><LastName>Alyahya</LastName>
<ForeName>Hamed A</ForeName>
<Initials>HA</Initials>
<AffiliationInfo><Affiliation>King Fahad General Hospital, Jeddah, Saudi Arabia. Electronic address: hamed88807@hotmail.com.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Alandonisi</LastName>
<ForeName>Munzir M</ForeName>
<Initials>MM</Initials>
<AffiliationInfo><Affiliation>King Fahad General Hospital, Jeddah, Saudi Arabia. Electronic address: munzir.andonisi@gmail.com.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Subedar</LastName>
<ForeName>Alaa T</ForeName>
<Initials>AT</Initials>
<AffiliationInfo><Affiliation>King Fahad General Hospital, Jeddah, Saudi Arabia. Electronic address: alaa.subedar@gmail.com.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Aloudah</LastName>
<ForeName>Nouf M</ForeName>
<Initials>NM</Initials>
<AffiliationInfo><Affiliation>King Saud University, Riyadh, Saudi Arabia. Electronic address: naloudah@ksu.edu.sa.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Baharoon</LastName>
<ForeName>Salim</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City (KAMC), Ministry of National Guard - Health Affairs, Riyadh 11426, Saudi Arabia. Electronic address: baharoon@hotmail.com.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Alsalamah</LastName>
<ForeName>Majid A</ForeName>
<Initials>MA</Initials>
<AffiliationInfo><Affiliation>King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City (KAMC), Ministry of National Guard - Health Affairs, Riyadh 11426, Saudi Arabia. Electronic address: malsalamah@gmail.com.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Al Johani</LastName>
<ForeName>Sameera</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>King Abdullah International Medical Research Center (KAIMRC), King Saud bin Abdulaziz University for Health Sciences (KSAU-HS), King Abdulaziz Medical City (KAMC), Ministry of National Guard - Health Affairs, Riyadh 11426, Saudi Arabia. Electronic address: Johanis@ngha.med.sa.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Alghamdi</LastName>
<ForeName>Mohammed G</ForeName>
<Initials>MG</Initials>
<AffiliationInfo><Affiliation>King Fahad General Hospital, Jeddah, Saudi Arabia. Electronic address: dr_id2012@yahoo.com.</Affiliation>
</AffiliationInfo>
</Author>
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<Language>eng</Language>
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<PublicationType UI="D016448">Multicenter Study</PublicationType>
<PublicationType UI="D023361">Validation Study</PublicationType>
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<ArticleDate DateType="Electronic"><Year>2018</Year>
<Month>03</Month>
<Day>14</Day>
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<MedlineJournalInfo><Country>Canada</Country>
<MedlineTA>Int J Infect Dis</MedlineTA>
<NlmUniqueID>9610933</NlmUniqueID>
<ISSNLinking>1201-9712</ISSNLinking>
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<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
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<MeshHeading><DescriptorName UI="D016730" MajorTopicYN="N">Program Development</DescriptorName>
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<MeshHeading><DescriptorName UI="D060888" MajorTopicYN="N">Real-Time Polymerase Chain Reaction</DescriptorName>
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<MeshHeading><DescriptorName UI="D012189" MajorTopicYN="N">Retrospective Studies</DescriptorName>
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<MeshHeading><DescriptorName UI="D012306" MajorTopicYN="N">Risk</DescriptorName>
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<MeshHeading><DescriptorName UI="D012529" MajorTopicYN="N" Type="Geographic">Saudi Arabia</DescriptorName>
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<Keyword MajorTopicYN="N">MERS-CoV case definitions</Keyword>
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   |texte=   Early identification of pneumonia patients at increased risk of Middle East respiratory syndrome coronavirus infection in Saudi Arabia.
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Early identification of pneumonia patients at increased risk of Middle East respiratory syndrome coronavirus infection in Saudi Arabia.

Early identification of pneumonia patients at increased risk of Middle East respiratory syndrome coronavirus infection in Saudi Arabia.

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