Risks of Death and Severe Disease in Patients With Middle East Respiratory Syndrome Coronavirus, 2012–2015
Identifieur interne : 001036 ( Main/Merge ); précédent : 001035; suivant : 001037Risks of Death and Severe Disease in Patients With Middle East Respiratory Syndrome Coronavirus, 2012–2015
Auteurs : Caitlin M. Rivers ; Maimuna S. Majumder ; Eric T. LofgrenSource :
- American Journal of Epidemiology [ 0002-9262 ] ; 2016.
Descripteurs français
- KwdFr :
- Adolescent, Adulte, Adulte d'âge moyen, Animaux, Bases de données factuelles, Comorbidité, Coronavirus du syndrome respiratoire du Moyen-Orient (pathogénicité), Enfant, Enfant d'âge préscolaire, Facteurs de risque, Femelle, Humains, Indice de gravité médicale, Infections à coronavirus (mortalité), Infections à coronavirus (physiopathologie), Infections à coronavirus (transmission), Jeune adulte, Loi de Poisson, Maladies professionnelles (mortalité), Maladies professionnelles (virologie), Maladies professionnelles (épidémiologie), Maladies transmissibles émergentes (mortalité), Maladies transmissibles émergentes (virologie), Maladies transmissibles émergentes (épidémiologie), Mâle, Nourrisson, Nouveau-né, Personnel de santé (), Répartition par sexe, Répartition par âge, Sujet âgé, Sujet âgé de 80 ans ou plus, Zoonoses (mortalité), Zoonoses (virologie), Zoonoses (épidémiologie).
- MESH :
- mortalité : Infections à coronavirus, Maladies professionnelles, Maladies transmissibles émergentes, Zoonoses.
- pathogénicité : Coronavirus du syndrome respiratoire du Moyen-Orient.
- physiopathologie : Infections à coronavirus.
- virologie : Maladies professionnelles, Maladies transmissibles émergentes, Zoonoses.
- épidémiologie : Infections à coronavirus, Maladies professionnelles, Maladies transmissibles émergentes, Zoonoses.
- Adolescent, Adulte, Adulte d'âge moyen, Animaux, Bases de données factuelles, Comorbidité, Enfant, Enfant d'âge préscolaire, Facteurs de risque, Femelle, Humains, Indice de gravité médicale, Jeune adulte, Loi de Poisson, Mâle, Nourrisson, Nouveau-né, Personnel de santé, Répartition par sexe, Répartition par âge, Sujet âgé, Sujet âgé de 80 ans ou plus.
English descriptors
- KwdEn :
- Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Animals, Child, Child, Preschool, Communicable Diseases, Emerging (epidemiology), Communicable Diseases, Emerging (mortality), Communicable Diseases, Emerging (virology), Comorbidity, Coronavirus Infections (mortality), Coronavirus Infections (physiopathology), Coronavirus Infections (transmission), Databases, Factual, Female, Health Personnel (statistics & numerical data), Humans, Infant, Infant, Newborn, Male, Middle Aged, Middle East Respiratory Syndrome Coronavirus (pathogenicity), Occupational Diseases (epidemiology), Occupational Diseases (mortality), Occupational Diseases (virology), Poisson Distribution, Risk Factors, Severity of Illness Index, Sex Distribution, Young Adult, Zoonoses (epidemiology), Zoonoses (mortality), Zoonoses (virology).
- MESH :
- epidemiology : Communicable Diseases, Emerging, Occupational Diseases, Zoonoses.
- mortality : Communicable Diseases, Emerging, Coronavirus Infections, Occupational Diseases, Zoonoses.
- pathogenicity : Middle East Respiratory Syndrome Coronavirus.
- physiopathology : Coronavirus Infections.
- statistics & numerical data : Health Personnel.
- transmission : Coronavirus Infections.
- virology : Communicable Diseases, Emerging, Occupational Diseases, Zoonoses.
- Adolescent, Adult, Age Distribution, Aged, Aged, 80 and over, Animals, Child, Child, Preschool, Comorbidity, Databases, Factual, Female, Humans, Infant, Infant, Newborn, Male, Middle Aged, Poisson Distribution, Risk Factors, Severity of Illness Index, Sex Distribution, Young Adult.
Abstract
Middle East respiratory syndrome coronavirus (MERS-CoV) is an emerging pathogen, first recognized in 2012, with a high case fatality risk, no vaccine, and no treatment beyond supportive care. We estimated the relative risks of death and severe disease among MERS-CoV patients in the Middle East between 2012 and 2015 for several risk factors, using Poisson regression with robust variance and a bootstrap-based expectation maximization algorithm to handle extensive missing data. Increased age and underlying comorbidity were risk factors for both death and severe disease, while cases arising in Saudi Arabia were more likely to be severe. Cases occurring later in the emergence of MERS-CoV and among health-care workers were less serious. This study represents an attempt to estimate risk factors for an emerging infectious disease using open data and to address some of the uncertainty surrounding MERS-CoV epidemiology.
Url:
DOI: 10.1093/aje/kww013
PubMed: 27608662
PubMed Central: 5023790
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PMC:5023790Le document en format XML
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<term>Mâle</term>
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<term>Nouveau-né</term>
<term>Personnel de santé ()</term>
<term>Répartition par sexe</term>
<term>Répartition par âge</term>
<term>Sujet âgé</term>
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<term>Zoonoses (mortalité)</term>
<term>Zoonoses (virologie)</term>
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<term>Maladies transmissibles émergentes</term>
<term>Zoonoses</term>
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<keywords scheme="MESH" qualifier="pathogénicité" xml:lang="fr"><term>Coronavirus du syndrome respiratoire du Moyen-Orient</term>
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<term>Age Distribution</term>
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<term>Aged, 80 and over</term>
<term>Animals</term>
<term>Child</term>
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<term>Databases, Factual</term>
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<term>Infant</term>
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<term>Male</term>
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<term>Poisson Distribution</term>
<term>Risk Factors</term>
<term>Severity of Illness Index</term>
<term>Sex Distribution</term>
<term>Young Adult</term>
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<term>Adulte d'âge moyen</term>
<term>Animaux</term>
<term>Bases de données factuelles</term>
<term>Comorbidité</term>
<term>Enfant</term>
<term>Enfant d'âge préscolaire</term>
<term>Facteurs de risque</term>
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<term>Humains</term>
<term>Indice de gravité médicale</term>
<term>Jeune adulte</term>
<term>Loi de Poisson</term>
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<term>Personnel de santé</term>
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<front><div type="abstract" xml:lang="en"><title>Abstract</title>
<p>Middle East respiratory syndrome coronavirus (MERS-CoV) is an emerging pathogen, first recognized in 2012, with a high case fatality risk, no vaccine, and no treatment beyond supportive care. We estimated the relative risks of death and severe disease among MERS-CoV patients in the Middle East between 2012 and 2015 for several risk factors, using Poisson regression with robust variance and a bootstrap-based expectation maximization algorithm to handle extensive missing data. Increased age and underlying comorbidity were risk factors for both death and severe disease, while cases arising in Saudi Arabia were more likely to be severe. Cases occurring later in the emergence of MERS-CoV and among health-care workers were less serious. This study represents an attempt to estimate risk factors for an emerging infectious disease using open data and to address some of the uncertainty surrounding MERS-CoV epidemiology.</p>
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