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Articles Published Processes
7/11/2024 9:22:48 AM | Browse: 50 | Download: 241
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Received |
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2024-04-28 13:09 |
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Peer-Review Started |
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2024-04-28 13:09 |
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To Make the First Decision |
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Return for Revision |
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2024-05-16 02:41 |
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Revised |
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2024-05-25 15:52 |
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Second Decision |
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2024-06-20 02:39 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2024-06-20 07:11 |
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Articles in Press |
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2024-06-20 07:11 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2024-07-02 05:18 |
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Typeset the Manuscript |
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2024-07-05 09:01 |
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Publish the Manuscript Online |
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2024-07-11 09:22 |
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) 2024. Published by Baishideng Publishing Group Inc. All rights reserved. |
Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
Website |
http://www.wjgnet.com |
Category |
Critical Care Medicine |
Manuscript Type |
Retrospective Study |
Article Title |
Assessment of early factors for identification or prediction severe acute pancreatitis in pregnancy
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Manuscript Source |
Unsolicited Manuscript |
All Author List |
Li-Fen Mei, Quan Gan, Jing Hu, Yun-Xiang Li, Rui Tian and Cheng-Jian Shi |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Cheng-Jian Shi, PhD, Affiliate Associate Professor, Surgeon, Department of Biliary-Pancreatic Surgery, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, No. 1095 Jiefang Avenue, Wuhan 430030, Hubei Province, China. chengj1010@sina.com |
Key Words |
Severe acute pancreatitis in pregnancy; Early identification factors; Early predictive factors; Clinical features; Laboratory biochemical index |
Core Tip |
This retrospective study explored factors for early identification or prediction of severe acute pancreatitis in pregnancy (SAPIP). A total of 45 APIP patients were enrolled. Logistic regression analysis showed that heart rate (HR), neutrophil ratio (NEUT%), neutrophil–lymphocyte ratio (NLR) and lymphocyte count were significantly correlated with SAPIP. These four indexes showed valuable area under the curve, sensitivity and specificity through receiver operating characteristic curve analysis. These results suggest that HR, NEUT%, NLR and lymphocyte count can be used for early identification or prediction of SAPIP. |
Publish Date |
2024-07-11 09:22 |
Citation |
<p>Mei LF, Gan Q, Hu J, Li YX, Tian R, Shi CJ. Assessment of early factors for identification or prediction severe acute pancreatitis in pregnancy. <i>World J Clin Cases</i> 2024; 12(24): 5502-5512</p> |
URL |
https://www.wjgnet.com/2307-8960/full/v12/i24/5502.htm |
DOI |
https://dx.doi.org/10.12998/wjcc.v12.i24.5502 |
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