Early identification of pneumonia patients at increased risk of Middle East respiratory syndrome coronavirus infection in Saudi Arabia
Identifieur interne : 001D66 ( Ncbi/Checkpoint ); précédent : 001D65; suivant : 001D67Early identification of pneumonia patients at increased risk of Middle East respiratory syndrome coronavirus infection in Saudi Arabia
Auteurs : Anwar E. Ahmed [Arabie saoudite] ; Hamdan Al-Jahdali [Arabie saoudite] ; Abeer N. Alshukairi [Arabie saoudite] ; Mody Alaqeel [Arabie saoudite] ; Salma S. Siddiq [Arabie saoudite] ; Hanan Alsaab [Arabie saoudite] ; Ezzeldin A. Sakr [Arabie saoudite] ; Hamed A. Alyahya [Arabie saoudite] ; Munzir M. Alandonisi [Arabie saoudite] ; Alaa T. Subedar [Arabie saoudite] ; Nouf M. Aloudah [Arabie saoudite] ; Salim Baharoon [Arabie saoudite] ; Majid A. Alsalamah [Arabie saoudite] ; Sameera Al Johani [Arabie saoudite] ; Mohammed G. Alghamdi [Arabie saoudite]Source :
- International Journal of Infectious Diseases [ 1201-9712 ] ; 2018.
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.
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.
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 (
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.
Url:
DOI: 10.1016/j.ijid.2018.03.005
PubMed: 29550445
PubMed Central: 7110544
Affiliations:
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PMC:7110544Le document en format XML
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Early identification of pneumonia patients at increased risk of Middle East respiratory syndrome coronavirus infection in Saudi Arabia</title>
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<author><name sortKey="Alshukairi, Abeer N" sort="Alshukairi, Abeer N" uniqKey="Alshukairi A" first="Abeer N." last="Alshukairi">Abeer N. Alshukairi</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="Sakr, Ezzeldin A" sort="Sakr, Ezzeldin A" uniqKey="Sakr E" first="Ezzeldin A." last="Sakr">Ezzeldin A. Sakr</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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<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="Alsalamah, Majid A" sort="Alsalamah, Majid A" uniqKey="Alsalamah M" first="Majid A." last="Alsalamah">Majid A. Alsalamah</name>
<affiliation wicri:level="1"><nlm:aff id="aff0005">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</nlm:aff>
<country xml:lang="fr">Arabie saoudite</country>
<wicri:regionArea>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</wicri:regionArea>
<wicri:noRegion>Riyadh 11426</wicri:noRegion>
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</author>
<author><name sortKey="Al Johani, Sameera" sort="Al Johani, Sameera" uniqKey="Al Johani S" first="Sameera" last="Al Johani">Sameera Al Johani</name>
<affiliation wicri:level="1"><nlm:aff id="aff0005">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</nlm:aff>
<country xml:lang="fr">Arabie saoudite</country>
<wicri:regionArea>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</wicri:regionArea>
<wicri:noRegion>Riyadh 11426</wicri:noRegion>
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</author>
<author><name sortKey="Alghamdi, Mohammed G" sort="Alghamdi, Mohammed G" uniqKey="Alghamdi M" first="Mohammed G." last="Alghamdi">Mohammed G. Alghamdi</name>
<affiliation wicri:level="1"><nlm:aff id="aff0015">King Fahad General Hospital, Jeddah, Saudi Arabia</nlm:aff>
<country xml:lang="fr">Arabie saoudite</country>
<wicri:regionArea>King Fahad General Hospital, Jeddah</wicri:regionArea>
<wicri:noRegion>Jeddah</wicri:noRegion>
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</analytic>
<series><title level="j">International Journal of Infectious Diseases</title>
<idno type="ISSN">1201-9712</idno>
<idno type="eISSN">1878-3511</idno>
<imprint><date when="2018">2018</date>
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<term>Coronavirus Infections (complications)</term>
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<term>Pneumonia</term>
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<keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Pneumopathie infectieuse</term>
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<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia</term>
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<keywords scheme="MESH" qualifier="genetics" xml:lang="en"><term>Middle East Respiratory Syndrome Coronavirus</term>
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<keywords scheme="MESH" qualifier="génétique" xml:lang="fr"><term>Coronavirus du syndrome respiratoire du Moyen-Orient</term>
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<keywords scheme="MESH" qualifier="immunology" xml:lang="en"><term>Pneumonia</term>
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<keywords scheme="MESH" qualifier="isolation & purification" xml:lang="en"><term>Middle East Respiratory Syndrome Coronavirus</term>
</keywords>
<keywords scheme="MESH" qualifier="isolement et purification" xml:lang="fr"><term>Coronavirus du syndrome respiratoire du Moyen-Orient</term>
</keywords>
<keywords scheme="MESH" qualifier="métabolisme" xml:lang="fr"><term>Alanine transaminase</term>
</keywords>
<keywords scheme="MESH" qualifier="traitement médicamenteux" xml:lang="fr"><term>Infections à coronavirus</term>
</keywords>
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</keywords>
<keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Coronavirus Infections</term>
</keywords>
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<term>Infections à coronavirus</term>
<term>Pneumopathie infectieuse</term>
</keywords>
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<term>Adult</term>
<term>Aged</term>
<term>Aged, 80 and over</term>
<term>Animals</term>
<term>Camelus</term>
<term>Case-Control Studies</term>
<term>Early Diagnosis</term>
<term>Female</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</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>Young Adult</term>
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<term>Adulte</term>
<term>Adulte d'âge moyen</term>
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<term>Infections à coronavirus</term>
<term>Jeune adulte</term>
<term>Mise au point de programmes</term>
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<term>Sujet âgé de 80 ans ou plus</term>
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<front><div type="abstract" xml:lang="en"><sec><title>Background</title>
<p>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.</p>
</sec>
<sec><title>Methods</title>
<p>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.</p>
</sec>
<sec><title>Results</title>
<p>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 (<italic>p</italic>
= 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.</p>
</sec>
<sec><title>Conclusions</title>
<p>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.</p>
</sec>
</div>
</front>
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</div1>
</back>
</TEI>
<affiliations><list><country><li>Arabie saoudite</li>
</country>
</list>
<tree><country name="Arabie saoudite"><noRegion><name sortKey="Ahmed, Anwar E" sort="Ahmed, Anwar E" uniqKey="Ahmed A" first="Anwar E." last="Ahmed">Anwar E. Ahmed</name>
</noRegion>
<name sortKey="Al Jahdali, Hamdan" sort="Al Jahdali, Hamdan" uniqKey="Al Jahdali H" first="Hamdan" last="Al-Jahdali">Hamdan Al-Jahdali</name>
<name sortKey="Al Johani, Sameera" sort="Al Johani, Sameera" uniqKey="Al Johani S" first="Sameera" last="Al Johani">Sameera Al Johani</name>
<name sortKey="Alandonisi, Munzir M" sort="Alandonisi, Munzir M" uniqKey="Alandonisi M" first="Munzir M." last="Alandonisi">Munzir M. Alandonisi</name>
<name sortKey="Alaqeel, Mody" sort="Alaqeel, Mody" uniqKey="Alaqeel M" first="Mody" last="Alaqeel">Mody Alaqeel</name>
<name sortKey="Alghamdi, Mohammed G" sort="Alghamdi, Mohammed G" uniqKey="Alghamdi M" first="Mohammed G." last="Alghamdi">Mohammed G. Alghamdi</name>
<name sortKey="Aloudah, Nouf M" sort="Aloudah, Nouf M" uniqKey="Aloudah N" first="Nouf M." last="Aloudah">Nouf M. Aloudah</name>
<name sortKey="Alsaab, Hanan" sort="Alsaab, Hanan" uniqKey="Alsaab H" first="Hanan" last="Alsaab">Hanan Alsaab</name>
<name sortKey="Alsalamah, Majid A" sort="Alsalamah, Majid A" uniqKey="Alsalamah M" first="Majid A." last="Alsalamah">Majid A. Alsalamah</name>
<name sortKey="Alshukairi, Abeer N" sort="Alshukairi, Abeer N" uniqKey="Alshukairi A" first="Abeer N." last="Alshukairi">Abeer N. Alshukairi</name>
<name sortKey="Alyahya, Hamed A" sort="Alyahya, Hamed A" uniqKey="Alyahya H" first="Hamed A." last="Alyahya">Hamed A. Alyahya</name>
<name sortKey="Baharoon, Salim" sort="Baharoon, Salim" uniqKey="Baharoon S" first="Salim" last="Baharoon">Salim Baharoon</name>
<name sortKey="Sakr, Ezzeldin A" sort="Sakr, Ezzeldin A" uniqKey="Sakr E" first="Ezzeldin A." last="Sakr">Ezzeldin A. Sakr</name>
<name sortKey="Siddiq, Salma S" sort="Siddiq, Salma S" uniqKey="Siddiq S" first="Salma S." last="Siddiq">Salma S. Siddiq</name>
<name sortKey="Subedar, Alaa T" sort="Subedar, Alaa T" uniqKey="Subedar A" first="Alaa T." last="Subedar">Alaa T. Subedar</name>
</country>
</tree>
</affiliations>
</record>
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