CovidSeniorV1, Main, Exploration, bibRecord, 000663

Development and validation of a risk stratification model for screening suspected cases of COVID-19 in China.

Identifieur interne : 000663 ( Main/Exploration ); précédent : 000662; suivant : 000664

Development and validation of a risk stratification model for screening suspected cases of COVID-19 in China.

Auteurs : Jing Ma [République populaire de Chine] ; Xiaowei Shi [République populaire de Chine] ; Weiming Xu [République populaire de Chine] ; Feifei Lv [République populaire de Chine] ; Jian Wu [République populaire de Chine] ; Qiaoling Pan [République populaire de Chine] ; Jinfeng Yang [République populaire de Chine] ; Jiong Yu [République populaire de Chine] ; Hongcui Cao [République populaire de Chine] ; Lanjuan Li [République populaire de Chine]

Source :

Aging [ 1945-4589 ] ; 2020.

RBID : pubmed:32727933

Descripteurs français

KwdFr :
- Adulte (MeSH), Adulte d'âge moyen (MeSH), Appréciation des risques (méthodes), Betacoronavirus (MeSH), Chine (MeSH), Facteurs de risque (MeSH), Femelle (MeSH), Humains (MeSH), Infections à coronavirus (anatomopathologie), Infections à coronavirus (diagnostic), Infections à coronavirus (sang), Mâle (MeSH), Pandémies (MeSH), Pneumopathie virale (anatomopathologie), Pneumopathie virale (diagnostic), Pneumopathie virale (sang), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH), Valeur prédictive des tests (MeSH).
MESH :
- anatomopathologie : Infections à coronavirus, Pneumopathie virale.
- diagnostic : Infections à coronavirus, Pneumopathie virale.
- méthodes : Appréciation des risques.
- sang : Infections à coronavirus, Pneumopathie virale.
- Adulte, Adulte d'âge moyen, Betacoronavirus, Chine, Facteurs de risque, Femelle, Humains, Mâle, Pandémies, Sujet âgé, Sujet âgé de 80 ans ou plus, Valeur prédictive des tests.
Wicri :
- geographic : République populaire de Chine.

English descriptors

KwdEn :
- Adult (MeSH), Aged (MeSH), Aged, 80 and over (MeSH), Betacoronavirus (MeSH), China (MeSH), Coronavirus Infections (blood), Coronavirus Infections (diagnosis), Coronavirus Infections (pathology), Female (MeSH), Humans (MeSH), Male (MeSH), Middle Aged (MeSH), Pandemics (MeSH), Pneumonia, Viral (blood), Pneumonia, Viral (diagnosis), Pneumonia, Viral (pathology), Predictive Value of Tests (MeSH), Risk Assessment (methods), Risk Factors (MeSH).
MESH :
- geographic : China.
- blood : Coronavirus Infections, Pneumonia, Viral.
- diagnosis : Coronavirus Infections, Pneumonia, Viral.
- methods : Risk Assessment.
- pathology : Coronavirus Infections, Pneumonia, Viral.
- Adult, Aged, Aged, 80 and over, Betacoronavirus, Female, Humans, Male, Middle Aged, Pandemics, Predictive Value of Tests, Risk Factors.

Abstract

How to quickly identify high-risk populations is critical to epidemic control. We developed and validated a risk prediction model for screening SARS-CoV-2 infection in suspected cases with an epidemiological history. A total of 1019 patients, ≥13 years of age, who had an epidemiological history were enrolled from fever clinics between January 2020 and February 2020. Among 103 (10.11%) cases of COVID-19 were confirmed. Multivariable analysis summarized four features associated with increased risk of SARS-CoV-2 infection, summarized in the mnemonic COVID-19-REAL: radiological evidence of pneumonia (1 point), eosinophils < 0.005 × 10⁹/L (1 point), age ≥ 32 years (2 points), and leukocytes < 6.05 × 10⁹ /L (1 point). The area under the ROC curve for the training group was 0.863 (95% CI, 0.813 - 0.912). A cut-off value of less than 3 points for COVID-19-REAL was assigned to define the low-risk population. Only 10 (2.70%) of 371 patients were proved to be SARS-CoV-2 positive, with a negative predictive value of 0.973. External validation was similar. This study provides a simple, practical, and robust screening model, COVID-19-REAL, able to identify populations at high risk for SARS-CoV-2 infection.

DOI: 10.18632/aging.103694
PubMed: 32727933
PubMed Central: PMC7425460

Affiliations:

Links toward previous steps (curation, corpus...)

to stream Main, to step Corpus: 000934
to stream Main, to step Curation: 000934

Le document en format XML

<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Development and validation of a risk stratification model for screening suspected cases of COVID-19 in China.</title>
<author><name sortKey="Ma, Jing" sort="Ma, Jing" uniqKey="Ma J" first="Jing" last="Ma">Jing Ma</name>
<affiliation wicri:level="4"><nlm:affiliation>Department of Laboratory Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Laboratory Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
<orgName type="university">Université de Zhejiang</orgName>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Shi, Xiaowei" sort="Shi, Xiaowei" uniqKey="Shi X" first="Xiaowei" last="Shi">Xiaowei Shi</name>
<affiliation wicri:level="4"><nlm:affiliation>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
<orgName type="university">Université de Zhejiang</orgName>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
<affiliation wicri:level="1"><nlm:affiliation>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Xu, Weiming" sort="Xu, Weiming" uniqKey="Xu W" first="Weiming" last="Xu">Weiming Xu</name>
<affiliation wicri:level="1"><nlm:affiliation>Taizhou Enze Medical Center (Group) Enze Hospital, Taizhou 318050, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Taizhou Enze Medical Center (Group) Enze Hospital, Taizhou 318050</wicri:regionArea>
<wicri:noRegion>Taizhou 318050</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Lv, Feifei" sort="Lv, Feifei" uniqKey="Lv F" first="Feifei" last="Lv">Feifei Lv</name>
<affiliation wicri:level="4"><nlm:affiliation>Department of Laboratory Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Laboratory Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
<orgName type="university">Université de Zhejiang</orgName>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Wu, Jian" sort="Wu, Jian" uniqKey="Wu J" first="Jian" last="Wu">Jian Wu</name>
<affiliation wicri:level="4"><nlm:affiliation>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
<orgName type="university">Université de Zhejiang</orgName>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
<affiliation wicri:level="1"><nlm:affiliation>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Pan, Qiaoling" sort="Pan, Qiaoling" uniqKey="Pan Q" first="Qiaoling" last="Pan">Qiaoling Pan</name>
<affiliation wicri:level="4"><nlm:affiliation>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
<orgName type="university">Université de Zhejiang</orgName>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
<affiliation wicri:level="1"><nlm:affiliation>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Yang, Jinfeng" sort="Yang, Jinfeng" uniqKey="Yang J" first="Jinfeng" last="Yang">Jinfeng Yang</name>
<affiliation wicri:level="4"><nlm:affiliation>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
<orgName type="university">Université de Zhejiang</orgName>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
<affiliation wicri:level="1"><nlm:affiliation>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Yu, Jiong" sort="Yu, Jiong" uniqKey="Yu J" first="Jiong" last="Yu">Jiong Yu</name>
<affiliation wicri:level="4"><nlm:affiliation>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
<orgName type="university">Université de Zhejiang</orgName>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
<affiliation wicri:level="1"><nlm:affiliation>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Cao, Hongcui" sort="Cao, Hongcui" uniqKey="Cao H" first="Hongcui" last="Cao">Hongcui Cao</name>
<affiliation wicri:level="4"><nlm:affiliation>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
<orgName type="university">Université de Zhejiang</orgName>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
<affiliation wicri:level="1"><nlm:affiliation>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Li, Lanjuan" sort="Li, Lanjuan" uniqKey="Li L" first="Lanjuan" last="Li">Lanjuan Li</name>
<affiliation wicri:level="4"><nlm:affiliation>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
<orgName type="university">Université de Zhejiang</orgName>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
<affiliation wicri:level="1"><nlm:affiliation>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PubMed</idno>
<date when="2020">2020</date>
<idno type="RBID">pubmed:32727933</idno>
<idno type="pmid">32727933</idno>
<idno type="doi">10.18632/aging.103694</idno>
<idno type="pmc">PMC7425460</idno>
<idno type="wicri:Area/Main/Corpus">000934</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000934</idno>
<idno type="wicri:Area/Main/Curation">000934</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000934</idno>
<idno type="wicri:Area/Main/Exploration">000934</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en">Development and validation of a risk stratification model for screening suspected cases of COVID-19 in China.</title>
<author><name sortKey="Ma, Jing" sort="Ma, Jing" uniqKey="Ma J" first="Jing" last="Ma">Jing Ma</name>
<affiliation wicri:level="4"><nlm:affiliation>Department of Laboratory Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Laboratory Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
<orgName type="university">Université de Zhejiang</orgName>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Shi, Xiaowei" sort="Shi, Xiaowei" uniqKey="Shi X" first="Xiaowei" last="Shi">Xiaowei Shi</name>
<affiliation wicri:level="4"><nlm:affiliation>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
<orgName type="university">Université de Zhejiang</orgName>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
<affiliation wicri:level="1"><nlm:affiliation>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Xu, Weiming" sort="Xu, Weiming" uniqKey="Xu W" first="Weiming" last="Xu">Weiming Xu</name>
<affiliation wicri:level="1"><nlm:affiliation>Taizhou Enze Medical Center (Group) Enze Hospital, Taizhou 318050, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Taizhou Enze Medical Center (Group) Enze Hospital, Taizhou 318050</wicri:regionArea>
<wicri:noRegion>Taizhou 318050</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Lv, Feifei" sort="Lv, Feifei" uniqKey="Lv F" first="Feifei" last="Lv">Feifei Lv</name>
<affiliation wicri:level="4"><nlm:affiliation>Department of Laboratory Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Laboratory Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
<orgName type="university">Université de Zhejiang</orgName>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Wu, Jian" sort="Wu, Jian" uniqKey="Wu J" first="Jian" last="Wu">Jian Wu</name>
<affiliation wicri:level="4"><nlm:affiliation>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
<orgName type="university">Université de Zhejiang</orgName>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
<affiliation wicri:level="1"><nlm:affiliation>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Pan, Qiaoling" sort="Pan, Qiaoling" uniqKey="Pan Q" first="Qiaoling" last="Pan">Qiaoling Pan</name>
<affiliation wicri:level="4"><nlm:affiliation>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
<orgName type="university">Université de Zhejiang</orgName>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
<affiliation wicri:level="1"><nlm:affiliation>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Yang, Jinfeng" sort="Yang, Jinfeng" uniqKey="Yang J" first="Jinfeng" last="Yang">Jinfeng Yang</name>
<affiliation wicri:level="4"><nlm:affiliation>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
<orgName type="university">Université de Zhejiang</orgName>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
<affiliation wicri:level="1"><nlm:affiliation>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Yu, Jiong" sort="Yu, Jiong" uniqKey="Yu J" first="Jiong" last="Yu">Jiong Yu</name>
<affiliation wicri:level="4"><nlm:affiliation>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
<orgName type="university">Université de Zhejiang</orgName>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
<affiliation wicri:level="1"><nlm:affiliation>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Cao, Hongcui" sort="Cao, Hongcui" uniqKey="Cao H" first="Hongcui" last="Cao">Hongcui Cao</name>
<affiliation wicri:level="4"><nlm:affiliation>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
<orgName type="university">Université de Zhejiang</orgName>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
<affiliation wicri:level="1"><nlm:affiliation>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Li, Lanjuan" sort="Li, Lanjuan" uniqKey="Li L" first="Lanjuan" last="Li">Lanjuan Li</name>
<affiliation wicri:level="4"><nlm:affiliation>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
<orgName type="university">Université de Zhejiang</orgName>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
<affiliation wicri:level="1"><nlm:affiliation>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003</wicri:regionArea>
<placeName><settlement type="city">Hangzhou</settlement>
<region type="province">Zhejiang</region>
</placeName>
</affiliation>
</author>
</analytic>
<series><title level="j">Aging</title>
<idno type="eISSN">1945-4589</idno>
<imprint><date when="2020" type="published">2020</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult (MeSH)</term>
<term>Aged (MeSH)</term>
<term>Aged, 80 and over (MeSH)</term>
<term>Betacoronavirus (MeSH)</term>
<term>China (MeSH)</term>
<term>Coronavirus Infections (blood)</term>
<term>Coronavirus Infections (diagnosis)</term>
<term>Coronavirus Infections (pathology)</term>
<term>Female (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Pandemics (MeSH)</term>
<term>Pneumonia, Viral (blood)</term>
<term>Pneumonia, Viral (diagnosis)</term>
<term>Pneumonia, Viral (pathology)</term>
<term>Predictive Value of Tests (MeSH)</term>
<term>Risk Assessment (methods)</term>
<term>Risk Factors (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Adulte (MeSH)</term>
<term>Adulte d'âge moyen (MeSH)</term>
<term>Appréciation des risques (méthodes)</term>
<term>Betacoronavirus (MeSH)</term>
<term>Chine (MeSH)</term>
<term>Facteurs de risque (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Infections à coronavirus (anatomopathologie)</term>
<term>Infections à coronavirus (diagnostic)</term>
<term>Infections à coronavirus (sang)</term>
<term>Mâle (MeSH)</term>
<term>Pandémies (MeSH)</term>
<term>Pneumopathie virale (anatomopathologie)</term>
<term>Pneumopathie virale (diagnostic)</term>
<term>Pneumopathie virale (sang)</term>
<term>Sujet âgé (MeSH)</term>
<term>Sujet âgé de 80 ans ou plus (MeSH)</term>
<term>Valeur prédictive des tests (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="geographic" xml:lang="en"><term>China</term>
</keywords>
<keywords scheme="MESH" qualifier="anatomopathologie" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" qualifier="blood" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Risk Assessment</term>
</keywords>
<keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Appréciation des risques</term>
</keywords>
<keywords scheme="MESH" qualifier="pathology" xml:lang="en"><term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="sang" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Adult</term>
<term>Aged</term>
<term>Aged, 80 and over</term>
<term>Betacoronavirus</term>
<term>Female</term>
<term>Humans</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Pandemics</term>
<term>Predictive Value of Tests</term>
<term>Risk Factors</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Adulte</term>
<term>Adulte d'âge moyen</term>
<term>Betacoronavirus</term>
<term>Chine</term>
<term>Facteurs de risque</term>
<term>Femelle</term>
<term>Humains</term>
<term>Mâle</term>
<term>Pandémies</term>
<term>Sujet âgé</term>
<term>Sujet âgé de 80 ans ou plus</term>
<term>Valeur prédictive des tests</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>République populaire de Chine</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">How to quickly identify high-risk populations is critical to epidemic control. We developed and validated a risk prediction model for screening SARS-CoV-2 infection in suspected cases with an epidemiological history. A total of 1019 patients, ≥13 years of age, who had an epidemiological history were enrolled from fever clinics between January 2020 and February 2020. Among 103 (10.11%) cases of COVID-19 were confirmed. Multivariable analysis summarized four features associated with increased risk of SARS-CoV-2 infection, summarized in the mnemonic COVID-19-REAL: radiological evidence of pneumonia (1 point), eosinophils < 0.005 × 10<sup>9</sup>
/L (1 point), age ≥ 32 years (2 points), and leukocytes < 6.05 × 10<sup>9</sup>
 /L (1 point). The area under the ROC curve for the training group was 0.863 (95% CI, 0.813 - 0.912). A cut-off value of less than 3 points for COVID-19-REAL was assigned to define the low-risk population. Only 10 (2.70%) of 371 patients were proved to be SARS-CoV-2 positive, with a negative predictive value of 0.973. External validation was similar. This study provides a simple, practical, and robust screening model, COVID-19-REAL, able to identify populations at high risk for SARS-CoV-2 infection.</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32727933</PMID>
<DateCompleted><Year>2020</Year>
<Month>08</Month>
<Day>13</Day>
</DateCompleted>
<DateRevised><Year>2020</Year>
<Month>08</Month>
<Day>27</Day>
</DateRevised>
<Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1945-4589</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>12</Volume>
<Issue>14</Issue>
<PubDate><Year>2020</Year>
<Month>07</Month>
<Day>29</Day>
</PubDate>
</JournalIssue>
<Title>Aging</Title>
<ISOAbbreviation>Aging (Albany NY)</ISOAbbreviation>
</Journal>
<ArticleTitle>Development and validation of a risk stratification model for screening suspected cases of COVID-19 in China.</ArticleTitle>
<Pagination><MedlinePgn>13882-13894</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.18632/aging.103694</ELocationID>
<Abstract><AbstractText>How to quickly identify high-risk populations is critical to epidemic control. We developed and validated a risk prediction model for screening SARS-CoV-2 infection in suspected cases with an epidemiological history. A total of 1019 patients, ≥13 years of age, who had an epidemiological history were enrolled from fever clinics between January 2020 and February 2020. Among 103 (10.11%) cases of COVID-19 were confirmed. Multivariable analysis summarized four features associated with increased risk of SARS-CoV-2 infection, summarized in the mnemonic COVID-19-REAL: radiological evidence of pneumonia (1 point), eosinophils < 0.005 × 10<sup>9</sup>
/L (1 point), age ≥ 32 years (2 points), and leukocytes < 6.05 × 10<sup>9</sup>
 /L (1 point). The area under the ROC curve for the training group was 0.863 (95% CI, 0.813 - 0.912). A cut-off value of less than 3 points for COVID-19-REAL was assigned to define the low-risk population. Only 10 (2.70%) of 371 patients were proved to be SARS-CoV-2 positive, with a negative predictive value of 0.973. External validation was similar. This study provides a simple, practical, and robust screening model, COVID-19-REAL, able to identify populations at high risk for SARS-CoV-2 infection.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Ma</LastName>
<ForeName>Jing</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Department of Laboratory Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Shi</LastName>
<ForeName>Xiaowei</ForeName>
<Initials>X</Initials>
<AffiliationInfo><Affiliation>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Xu</LastName>
<ForeName>Weiming</ForeName>
<Initials>W</Initials>
<AffiliationInfo><Affiliation>Taizhou Enze Medical Center (Group) Enze Hospital, Taizhou 318050, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Lv</LastName>
<ForeName>Feifei</ForeName>
<Initials>F</Initials>
<AffiliationInfo><Affiliation>Department of Laboratory Medicine, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Wu</LastName>
<ForeName>Jian</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Pan</LastName>
<ForeName>Qiaoling</ForeName>
<Initials>Q</Initials>
<AffiliationInfo><Affiliation>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Yang</LastName>
<ForeName>Jinfeng</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Yu</LastName>
<ForeName>Jiong</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Cao</LastName>
<ForeName>Hongcui</ForeName>
<Initials>H</Initials>
<AffiliationInfo><Affiliation>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Li</LastName>
<ForeName>Lanjuan</ForeName>
<Initials>L</Initials>
<AffiliationInfo><Affiliation>State Key Laboratory for The Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Hangzhou 310003, China.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
<PublicationType UI="D023361">Validation Study</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2020</Year>
<Month>07</Month>
<Day>29</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>United States</Country>
<MedlineTA>Aging (Albany NY)</MedlineTA>
<NlmUniqueID>101508617</NlmUniqueID>
<ISSNLinking>1945-4589</ISSNLinking>
</MedlineJournalInfo>
<SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName>
<SupplMeshName Type="Organism" UI="C000656484">severe acute respiratory syndrome coronavirus 2</SupplMeshName>
</SupplMeshList>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="N">Betacoronavirus</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D002681" MajorTopicYN="N" Type="Geographic">China</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName>
<QualifierName UI="Q000097" MajorTopicYN="N">blood</QualifierName>
<QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName>
<QualifierName UI="Q000473" MajorTopicYN="N">pathology</QualifierName>
</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="D058873" MajorTopicYN="N">Pandemics</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName>
<QualifierName UI="Q000097" MajorTopicYN="N">blood</QualifierName>
<QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName>
<QualifierName UI="Q000473" MajorTopicYN="N">pathology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011237" MajorTopicYN="N">Predictive Value of Tests</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018570" MajorTopicYN="N">Risk Assessment</DescriptorName>
<QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">COVID-19</Keyword>
<Keyword MajorTopicYN="Y">model</Keyword>
<Keyword MajorTopicYN="Y">risk stratification</Keyword>
<Keyword MajorTopicYN="Y">severe acute respiratory syndrome coronavirus 2</Keyword>
<Keyword MajorTopicYN="Y">suspected cases</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year>
<Month>04</Month>
<Day>28</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2020</Year>
<Month>06</Month>
<Day>25</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2020</Year>
<Month>7</Month>
<Day>31</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2020</Year>
<Month>8</Month>
<Day>14</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez"><Year>2020</Year>
<Month>7</Month>
<Day>31</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">32727933</ArticleId>
<ArticleId IdType="doi">10.18632/aging.103694</ArticleId>
<ArticleId IdType="pii">103694</ArticleId>
<ArticleId IdType="pmc">PMC7425460</ArticleId>
</ArticleIdList>
<ReferenceList><Reference><Citation>Clin Infect Dis. 2020 Jul 28;71(15):706-712</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32109279</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>N Engl J Med. 2020 Mar 26;382(13):1199-1207</Citation>
<ArticleIdList><ArticleId IdType="pubmed">31995857</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>MMWR Morb Mortal Wkly Rep. 2020 Feb 07;69(5):140-146</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32027631</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Clin Infect Dis. 2020 Jul 28;71(15):786-792</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32211755</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Science. 2020 May 1;368(6490):489-493</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32179701</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Lancet. 2020 Feb 22;395(10224):e39</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32035510</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>JAMA. 2020 Feb 7;:</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32031570</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Ann Emerg Med. 2012 Nov;60(5):591-600</Citation>
<ArticleIdList><ArticleId IdType="pubmed">22921165</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Lancet. 2020 Feb 15;395(10223):497-506</Citation>
<ArticleIdList><ArticleId IdType="pubmed">31986264</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Clin Med. 2020 Feb 26;9(3):</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32110875</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Radiology. 2020 Aug;296(2):E41-E45</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32049601</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Lancet. 2020 Feb 29;395(10225):685</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32059800</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Int J Infect Dis. 2018 May;70:51-56</Citation>
<ArticleIdList><ArticleId IdType="pubmed">29550445</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>JAMA. 2020 Mar 23;:</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32203977</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>N Engl J Med. 2020 Feb 20;382(8):727-733</Citation>
<ArticleIdList><ArticleId IdType="pubmed">31978945</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>mBio. 2018 Oct 9;9(5):</Citation>
<ArticleIdList><ArticleId IdType="pubmed">30301856</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Med Virol. 2020 May;92(5):491-494</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32056249</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Nature. 2020 Mar 20;:</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32203376</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Lancet. 2020 Feb 29;395(10225):689-697</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32014114</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Lancet Infect Dis. 2020 May;20(5):565-574</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32213337</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Virology. 2008 Apr 25;374(1):151-63</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18234270</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Engineering (Beijing). 2019 Oct;5(5):940-947</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32288963</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Lancet. 2020 Feb 15;395(10223):507-513</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32007143</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Radiology. 2020 Apr;295(1):210-217</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32027573</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>BMJ. 2020 Apr 21;369:m1443</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32317267</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Med Virol. 2020 May;92(5):464-467</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32031264</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>Am J Respir Crit Care Med. 2020 Jun 1;201(11):1372-1379</Citation>
<ArticleIdList><ArticleId IdType="pubmed">32242738</ArticleId>
</ArticleIdList>
</Reference>
<Reference><Citation>J Immunol. 2008 Nov 1;181(9):6337-48</Citation>
<ArticleIdList><ArticleId IdType="pubmed">18941225</ArticleId>
</ArticleIdList>
</Reference>
</ReferenceList>
</PubmedData>
</pubmed>
<affiliations><list><country><li>République populaire de Chine</li>
</country>
<region><li>Zhejiang</li>
</region>
<settlement><li>Hangzhou</li>
</settlement>
<orgName><li>Université de Zhejiang</li>
</orgName>
</list>
<tree><country name="République populaire de Chine"><region name="Zhejiang"><name sortKey="Ma, Jing" sort="Ma, Jing" uniqKey="Ma J" first="Jing" last="Ma">Jing Ma</name>
</region>
<name sortKey="Cao, Hongcui" sort="Cao, Hongcui" uniqKey="Cao H" first="Hongcui" last="Cao">Hongcui Cao</name>
<name sortKey="Cao, Hongcui" sort="Cao, Hongcui" uniqKey="Cao H" first="Hongcui" last="Cao">Hongcui Cao</name>
<name sortKey="Li, Lanjuan" sort="Li, Lanjuan" uniqKey="Li L" first="Lanjuan" last="Li">Lanjuan Li</name>
<name sortKey="Li, Lanjuan" sort="Li, Lanjuan" uniqKey="Li L" first="Lanjuan" last="Li">Lanjuan Li</name>
<name sortKey="Lv, Feifei" sort="Lv, Feifei" uniqKey="Lv F" first="Feifei" last="Lv">Feifei Lv</name>
<name sortKey="Pan, Qiaoling" sort="Pan, Qiaoling" uniqKey="Pan Q" first="Qiaoling" last="Pan">Qiaoling Pan</name>
<name sortKey="Pan, Qiaoling" sort="Pan, Qiaoling" uniqKey="Pan Q" first="Qiaoling" last="Pan">Qiaoling Pan</name>
<name sortKey="Shi, Xiaowei" sort="Shi, Xiaowei" uniqKey="Shi X" first="Xiaowei" last="Shi">Xiaowei Shi</name>
<name sortKey="Shi, Xiaowei" sort="Shi, Xiaowei" uniqKey="Shi X" first="Xiaowei" last="Shi">Xiaowei Shi</name>
<name sortKey="Wu, Jian" sort="Wu, Jian" uniqKey="Wu J" first="Jian" last="Wu">Jian Wu</name>
<name sortKey="Wu, Jian" sort="Wu, Jian" uniqKey="Wu J" first="Jian" last="Wu">Jian Wu</name>
<name sortKey="Xu, Weiming" sort="Xu, Weiming" uniqKey="Xu W" first="Weiming" last="Xu">Weiming Xu</name>
<name sortKey="Yang, Jinfeng" sort="Yang, Jinfeng" uniqKey="Yang J" first="Jinfeng" last="Yang">Jinfeng Yang</name>
<name sortKey="Yang, Jinfeng" sort="Yang, Jinfeng" uniqKey="Yang J" first="Jinfeng" last="Yang">Jinfeng Yang</name>
<name sortKey="Yu, Jiong" sort="Yu, Jiong" uniqKey="Yu J" first="Jiong" last="Yu">Jiong Yu</name>
<name sortKey="Yu, Jiong" sort="Yu, Jiong" uniqKey="Yu J" first="Jiong" last="Yu">Jiong Yu</name>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/CovidSeniorV1/Data/Main/Exploration

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000663 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000663 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    CovidSeniorV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     pubmed:32727933
   |texte=   Development and validation of a risk stratification model for screening suspected cases of COVID-19 in China.
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i   -Sk "pubmed:32727933" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd   \
       | NlmPubMed2Wicri -a CovidSeniorV1

This area was generated with Dilib version V0.6.37.
Data generation: Thu Oct 15 09:49:45 2020. Site generation: Wed Jan 27 17:10:23 2021

	Serveur d'exploration sur la COVID chez les séniors
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.

Serveur d'exploration sur la COVID chez les séniors

Development and validation of a risk stratification model for screening suspected cases of COVID-19 in China.

Development and validation of a risk stratification model for screening suspected cases of COVID-19 in China.

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki