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7/11/2024 9:22:48 AM | Browse: 50 | Download: 241
Publication Name World Journal of Clinical Cases
Manuscript ID 96121
Country China
Received
2024-04-28 13:09
Peer-Review Started
2024-04-28 13:09
To Make the First Decision
Return for Revision
2024-05-16 02:41
Revised
2024-05-25 15:52
Second Decision
2024-06-20 02:39
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2024-06-20 07:11
Articles in Press
2024-06-20 07:11
Publication Fee Transferred
Edit the Manuscript by Language Editor
2024-07-02 05:18
Typeset the Manuscript
2024-07-05 09:01
Publish the Manuscript Online
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
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 Critical Care Medicine
Manuscript Type Retrospective Study
Article Title Assessment of early factors for identification or prediction severe acute pancreatitis in pregnancy
Manuscript Source Unsolicited Manuscript
All Author List Li-Fen Mei, Quan Gan, Jing Hu, Yun-Xiang Li, Rui Tian and Cheng-Jian Shi
ORCID
Author(s) ORCID Number
Li-Fen Mei http://orcid.org/0000-0003-0127-2852
Rui Tian http://orcid.org/0000-0002-9423-0514
Cheng-Jian Shi http://orcid.org/0000-0001-5709-4122
Funding Agency and Grant Number
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
Full Article (PDF) WJCC-12-5502-with-cover.pdf
Manuscript File 96121-Review-Filipodia.docx
Answering Reviewers 96121-answering-reviewers.pdf
Audio Core Tip 96121-audio.mp3
Biostatistics Review Certificate 96121-biostatistics-statement.pdf
Conflict-of-Interest Disclosure Form 96121-conflict-of-interest-statement.pdf
Copyright License Agreement 96121-copyright-assignment.pdf
Institutional Review Board Approval Form or Document 96121-institutional-review-board-statement.pdf
Non-Native Speakers of English Editing Certificate 96121-non-native-speakers.pdf
Peer-review Report 96121-peer-reviews.pdf
Scientific Misconduct Check 96121-scientific-misconduct-check.png
Scientific Editor Work List 96121-scientific-editor-work-list.pdf
CrossCheck Report 96121-crosscheck-report.pdf
CrossCheck Report 96121-crosscheck-report.png