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Positive rate of RT-PCR detection of SARS-CoV-2 infection in 4880 cases from one hospital in Wuhan, China, from Jan to Feb 2020

Identifieur interne : 000E91 ( Pmc/Curation ); précédent : 000E90; suivant : 000E92

Positive rate of RT-PCR detection of SARS-CoV-2 infection in 4880 cases from one hospital in Wuhan, China, from Jan to Feb 2020

Auteurs : Rui Liu [République populaire de Chine] ; Huan Han [République populaire de Chine] ; Fang Liu [République populaire de Chine] ; Zhihua Lv [République populaire de Chine] ; Kailang Wu [République populaire de Chine] ; Yingle Liu [République populaire de Chine] ; Yong Feng [République populaire de Chine] ; Chengliang Zhu [République populaire de Chine]

Source :

RBID : PMC:7094385

Abstract

Highlights

The SARS-CoV-2 NAT positive rate was about 38% for the total 4880 specimens. Male and older population had a significant higher positive rates.

57% was positive among the specimens from the Fever Clinics. Age, not gender, was the risk factor for SARS-CoV-2 infection in fever clinics.

Viral NAT played an important role in identifying SARS-CoV-2 infection.


Url:
DOI: 10.1016/j.cca.2020.03.009
PubMed: 32156607
PubMed Central: 7094385

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PMC:7094385

Le document en format XML

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<title>Highlights</title>
<p>
<list list-type="simple" id="l0005">
<list-item id="o0005">
<label></label>
<p id="p0005">The SARS-CoV-2 NAT positive rate was about 38% for the total 4880 specimens. Male and older population had a significant higher positive rates.</p>
</list-item>
<list-item id="o0010">
<label></label>
<p id="p0010">57% was positive among the specimens from the Fever Clinics. Age, not gender, was the risk factor for SARS-CoV-2 infection in fever clinics.</p>
</list-item>
<list-item id="o0015">
<label></label>
<p id="p0015">Viral NAT played an important role in identifying SARS-CoV-2 infection.</p>
</list-item>
</list>
</p>
</div>
</front>
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<author>
<name sortKey="Fang, Y" uniqKey="Fang Y">Y. Fang</name>
</author>
<author>
<name sortKey="Zhang, H" uniqKey="Zhang H">H. Zhang</name>
</author>
<author>
<name sortKey="Xie, J" uniqKey="Xie J">J. Xie</name>
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<name sortKey="Xie, X" uniqKey="Xie X">X. Xie</name>
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<name sortKey="Zhong, Z" uniqKey="Zhong Z">Z. Zhong</name>
</author>
<author>
<name sortKey="Zhao, W" uniqKey="Zhao W">W. Zhao</name>
</author>
<author>
<name sortKey="Zheng, C" uniqKey="Zheng C">C. Zheng</name>
</author>
<author>
<name sortKey="Wang, F" uniqKey="Wang F">F. Wang</name>
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<author>
<name sortKey="Liu, J" uniqKey="Liu J">J. Liu</name>
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<name sortKey="Li, Q" uniqKey="Li Q">Q. Li</name>
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</author>
<author>
<name sortKey="Wu, P" uniqKey="Wu P">P. Wu</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Huang, C" uniqKey="Huang C">C. Huang</name>
</author>
<author>
<name sortKey="Wang, Y" uniqKey="Wang Y">Y. Wang</name>
</author>
<author>
<name sortKey="Li, X" uniqKey="Li X">X. Li</name>
</author>
</analytic>
</biblStruct>
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<author>
<name sortKey="Zhu, N" uniqKey="Zhu N">N. Zhu</name>
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<author>
<name sortKey="Zhang, D" uniqKey="Zhang D">D. Zhang</name>
</author>
<author>
<name sortKey="Wang, W" uniqKey="Wang W">W. Wang</name>
</author>
</analytic>
</biblStruct>
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<analytic>
<author>
<name sortKey="Wang, D" uniqKey="Wang D">D. Wang</name>
</author>
<author>
<name sortKey="Hu, B" uniqKey="Hu B">B. Hu</name>
</author>
<author>
<name sortKey="Hu, C" uniqKey="Hu C">C. Hu</name>
</author>
</analytic>
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<biblStruct></biblStruct>
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<author>
<name sortKey="Chen, N" uniqKey="Chen N">N. Chen</name>
</author>
<author>
<name sortKey="Zhou, M" uniqKey="Zhou M">M. Zhou</name>
</author>
<author>
<name sortKey="Dong, X" uniqKey="Dong X">X. Dong</name>
</author>
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<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">Clin Chim Acta</journal-id>
<journal-id journal-id-type="iso-abbrev">Clin. Chim. Acta</journal-id>
<journal-title-group>
<journal-title>Clinica Chimica Acta; International Journal of Clinical Chemistry</journal-title>
</journal-title-group>
<issn pub-type="ppub">0009-8981</issn>
<issn pub-type="epub">1873-3492</issn>
<publisher>
<publisher-name>Elsevier B.V.</publisher-name>
</publisher>
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<article-meta>
<article-id pub-id-type="pmid">32156607</article-id>
<article-id pub-id-type="pmc">7094385</article-id>
<article-id pub-id-type="publisher-id">S0009-8981(20)30112-1</article-id>
<article-id pub-id-type="doi">10.1016/j.cca.2020.03.009</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Article</subject>
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</article-categories>
<title-group>
<article-title>Positive rate of RT-PCR detection of SARS-CoV-2 infection in 4880 cases from one hospital in Wuhan, China, from Jan to Feb 2020</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" id="au005">
<name>
<surname>Liu</surname>
<given-names>Rui</given-names>
</name>
<xref rid="af005" ref-type="aff">a</xref>
<xref rid="fn1" ref-type="fn">1</xref>
</contrib>
<contrib contrib-type="author" id="au010">
<name>
<surname>Han</surname>
<given-names>Huan</given-names>
</name>
<xref rid="af005" ref-type="aff">a</xref>
<xref rid="fn1" ref-type="fn">1</xref>
</contrib>
<contrib contrib-type="author" id="au015">
<name>
<surname>Liu</surname>
<given-names>Fang</given-names>
</name>
<xref rid="af010" ref-type="aff">b</xref>
<xref rid="af015" ref-type="aff">c</xref>
</contrib>
<contrib contrib-type="author" id="au020">
<name>
<surname>Lv</surname>
<given-names>Zhihua</given-names>
</name>
<xref rid="af005" ref-type="aff">a</xref>
</contrib>
<contrib contrib-type="author" id="au025">
<name>
<surname>Wu</surname>
<given-names>Kailang</given-names>
</name>
<xref rid="af010" ref-type="aff">b</xref>
</contrib>
<contrib contrib-type="author" id="au030">
<name>
<surname>Liu</surname>
<given-names>Yingle</given-names>
</name>
<xref rid="af010" ref-type="aff">b</xref>
</contrib>
<contrib contrib-type="author" id="au035">
<name>
<surname>Feng</surname>
<given-names>Yong</given-names>
</name>
<email>yongfeng@whu.edu.cn</email>
<xref rid="af020" ref-type="aff">d</xref>
<xref rid="cor1" ref-type="corresp"></xref>
</contrib>
<contrib contrib-type="author" id="au040">
<name>
<surname>Zhu</surname>
<given-names>Chengliang</given-names>
</name>
<email>xinchengzhu@163.com</email>
<xref rid="af005" ref-type="aff">a</xref>
<xref rid="cor1" ref-type="corresp"></xref>
</contrib>
</contrib-group>
<aff id="af005">
<label>a</label>
Dept. of Clinical Laboratory, Renmin Hospital of Wuhan University, Wuhan 430060, Hubei, China</aff>
<aff id="af010">
<label>b</label>
Dept.State Key Laboratory of Virology (Wuhan University), College of Life Sciences of Wuhan University, Wuhan 430072, Hubei, China</aff>
<aff id="af015">
<label>c</label>
Dept.Wuhan Institute of Biotechnology, Wuhan 430075, Hubei, China</aff>
<aff id="af020">
<label>d</label>
School of Basic Medical Sciences, Wuhan University, Wuhan 430071, Hubei, China</aff>
<author-notes>
<corresp id="cor1">
<label></label>
Corresponding author.
<email>yongfeng@whu.edu.cn</email>
<email>xinchengzhu@163.com</email>
</corresp>
<fn id="fn1">
<label>1</label>
<p id="np010">These authors contribute equally to this study.</p>
</fn>
</author-notes>
<pub-date pub-type="pmc-release">
<day>7</day>
<month>3</month>
<year>2020</year>
</pub-date>
<pmc-comment> PMC Release delay is 0 months and 0 days and was based on .</pmc-comment>
<pub-date pub-type="epub">
<day>7</day>
<month>3</month>
<year>2020</year>
</pub-date>
<elocation-id></elocation-id>
<history>
<date date-type="received">
<day>2</day>
<month>3</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>6</day>
<month>3</month>
<year>2020</year>
</date>
</history>
<permissions>
<copyright-statement>© 2020 Elsevier B.V. All rights reserved.</copyright-statement>
<copyright-year>2020</copyright-year>
<copyright-holder></copyright-holder>
<license>
<license-p>Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.</license-p>
</license>
</permissions>
<abstract abstract-type="author-highlights" id="ab005">
<title>Highlights</title>
<p>
<list list-type="simple" id="l0005">
<list-item id="o0005">
<label></label>
<p id="p0005">The SARS-CoV-2 NAT positive rate was about 38% for the total 4880 specimens. Male and older population had a significant higher positive rates.</p>
</list-item>
<list-item id="o0010">
<label></label>
<p id="p0010">57% was positive among the specimens from the Fever Clinics. Age, not gender, was the risk factor for SARS-CoV-2 infection in fever clinics.</p>
</list-item>
<list-item id="o0015">
<label></label>
<p id="p0015">Viral NAT played an important role in identifying SARS-CoV-2 infection.</p>
</list-item>
</list>
</p>
</abstract>
<abstract id="ab010">
<sec>
<title>Background</title>
<p>There’s an outbreak of a novel coronavirus (SARS-CoV-2) infection since December 2019, first in China, and currently with more than 80 thousand confirmed infection globally in 29 countries till March 2, 2020. Identification, isolation and caring for patients early are essential to limit human-to-human transmission including reducing secondary infections among close contacts and health care workers, preventing transmission amplification events. The RT-PCR detection of viral nucleic acid test (NAT) was one of the most quickly established laboratory diagnosis method in a novel viral pandemic, just as in this COVID-19 outbreak.</p>
</sec>
<sec>
<title>Methods</title>
<p>4880 cases that had respiratory infection symptoms or close contact with COVID-19 patients in hospital in Wuhan, China, were tested for SARS-CoV-2 infection by use of quantitative RT-PCR (qRT-PCR) on samples from the respiratory tract. Positive rates were calculated in groups divided by genders or ages.</p>
</sec>
<sec>
<title>Results</title>
<p>The positive rate was about 38% for the total 4880 specimens. Male and older population had a significant higher positive rates. However, 57% was positive among the specimens from the Fever Clinics. Binary logistic regression analysis showed that age, not gender, was the risk factor for SARS-CoV-2 infection in fever clinics.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>Therefore, we concluded that viral NAT played an important role in identifying SARS-CoV-2 infection.</p>
</sec>
</abstract>
</article-meta>
</front>
</pmc>
</record>

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