BPG is committed to discovery and dissemination of knowledge
Articles Published Processes
9/28/2020 1:45:47 AM | Browse: 1127 | Download: 2590
 |
Received |
|
2020-04-19 16:10 |
|
Peer-Review Started |
|
2020-04-19 16:10 |
|
First Decision by Editorial Office Director |
|
2020-07-25 05:56 |
|
Return for Revision |
|
2020-07-25 05:56 |
|
Revised |
|
2020-08-08 15:42 |
 |
Publication Fee Transferred |
|
|
|
Second Decision by Editor |
|
2020-09-01 11:58 |
|
Second Decision by Editor-in-Chief |
|
|
|
Final Decision by Editorial Office Director |
|
2020-09-01 19:33 |
|
Articles in Press |
|
2020-09-01 19:33 |
|
Edit the Manuscript by Language Editor |
|
2020-09-14 06:15 |
|
Typeset the Manuscript |
|
2020-09-24 00:47 |
|
Publish the Manuscript Online |
|
2020-09-28 01:45 |
| ISSN |
2307-8960 (online) |
| Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
| Copyright |
© The Author(s) 2020. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
|
| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
|
| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Infectious Diseases |
| Manuscript Type |
Retrospective Study |
| Article Title |
Clinical application of combined detection of SARS-CoV-2-specific antibody and nucleic acid
|
| Manuscript Source |
Invited Manuscript |
| All Author List |
Qing-Bin Meng, Jing-Jing Peng, Xin Wei, Jia-Yao Yang, Peng-Cheng Li, Zi-Wei Qu, Yong-Fen Xiong, Guang-Jiang Wu, Zhi-Min Hu, Jian-Chun Yu and Wen Su |
| ORCID |
|
| Funding Agency and Grant Number |
| Funding Agency |
Grant Number |
| Natural Science Foundation of Hubei Province, China |
2016CFB596 |
| Wuhan City Medical Research Project, China |
WX17Q39 |
| Wuhan City Medical Research Project, China |
WX15B14 |
|
| Corresponding Author |
Wen Su, MD, PhD, Dean, Professor, Department of Science and Education, Wuhan Integrated TCM and Western Medicine Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 215 Zhongshan Avenue, Wuhan 430022, Hubei Province, China. 501820747@qq.com |
| Key Words |
SARS-CoV-2; COVID-19; Nucleic acid detection; Immunoglobulin M; Immunoglobulin G; Diagnosis |
| Core Tip |
We retrospectively analyzed 652 suspected coronavirus disease 2019 (COVID-19) patients, and 206 non-COVID-19 patients to investigate the diagnostic value of severe acute respiratory syndrome coronavirus (SARS-CoV)-2 IgM/IgG and nucleic acid detection. We found that 237/652 (36.3%) suspected COVID-19 patients were positive for nucleic acid tests, 311 (47.7%) were positive for IgM, and 592 (90.8%) were positive for IgG. With reverse transcription polymerase chain reaction (RT-PCR) results as reference, the specificity, sensitivity, and accuracy of IgM/IgG combined tests for SARS-CoV-2 infection were 98.5%, 95.8%, and 97.1%, respectively. Our data indicates that serological IgM/IgG combined test can be used in combination with RT-PCR for diagnosis of SARS-CoV-2 infection. |
| Publish Date |
2020-09-28 01:45 |
| Citation |
Meng QB, Peng JJ, Wei X, Yang JY, Li PC, Qu ZW, Xiong YF, Wu GJ, Hu ZM, Yu JC, Su W. Clinical application of combined detection of SARS-CoV-2-specific antibody and nucleic acid. World J Clin Cases 2020; 8(19): 4360-4369
|
| URL |
https://www.wjgnet.com/2307-8960/full/v8/i19/4360.htm |
| DOI |
https://dx.doi.org/10.12998/wjcc.v8.i19.4360 |
Copyright © 1993-2026 Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA. All rights reserved, including rights relating to text and data mining, AI training, and similar technologies. For open-access content, the applicable copyright and licensing terms govern.
