Publication Name	World Journal of Critical Care Medicine
Manuscript ID	105147
Country	India

Received	2025-01-13 08:18
Peer-Review Started	2025-01-13 08:18
To Make the First Decision
Return for Revision	2025-03-20 06:33
Revised	2025-04-07 17:17
Second Decision	2025-04-24 02:47
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief	2025-04-24 08:58
Articles in Press	2025-04-24 08:58
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript	2025-07-01 03:21
Publish the Manuscript Online	2025-07-18 15:29

ISSN	2220-3141(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) 2025. 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	Anesthesiology
Manuscript Type	Editorial
Article Title	Unplanned intensive care unit admissions in trauma patients: A critical appraisal
Manuscript Source	Invited Manuscript
All Author List	Amlan Swain, Deb Sanjay Nag, Jayanta Kumar Laik, Seelora Sahu, Mrunalkant Panchal and Shivani Srirala
ORCID	Author(s) ORCID Number Amlan Swain http://orcid.org/0000-0002-0810-7262 Deb Sanjay Nag http://orcid.org/0000-0003-2200-9324
Funding Agency and Grant Number
Corresponding Author	Deb Sanjay Nag, Department of Anaesthesiology, Tata Main Hospital, C Road West, Northern Town, Bistupur, Jamshedpur 831001, Jharkhand, India. ds.nag@tatasteel.com
Key Words	Trauma centers; Intensive care units; APACHE; Patient readmission; Machine learning
Core Tip	Unplanned intensive care unit (ICU) admissions after trauma significantly worsen patient outcomes and increase healthcare costs. Existing predictive tools include Injury Severity Score, New Injury Severity Score (anatomical scoring) and Glasgow Coma Scale, an Acute Physiology and Chronic Health Evaluation III (physiological scoring) the as well as the stability and workload index for the transfer score. Machine learning offers a promising alternative particularly when combined with electronic health records. Reducing unplanned ICU admissions requires a multifaceted approach. Combining advanced predictive modeling with proactive management and interdisciplinary coordination is crucial for reducing the incidence and impact of unplanned ICU admissions in patients with trauma.
Publish Date	2025-07-18 15:29
Citation	<p>Swain A, Nag DS, Laik JK, Sahu S, Panchal M, Srirala S. Unplanned intensive care unit admissions in trauma patients: A critical appraisal. <i>World J Crit Care Med</i> 2025; 14(3): 105147</p>
URL	https://www.wjgnet.com/2220-3141/full/v14/i3/105147.htm
DOI	https://dx.doi.org/10.5492/wjccm.v14.i3.105147

Full Article (PDF)	WJCCM-14-105147-with-cover.pdf
Manuscript File	105147_Auto_Edited_082942.docx
Answering Reviewers	105147-answering-reviewers.pdf
Audio Core Tip	105147-audio.mp3
Conflict-of-Interest Disclosure Form	105147-conflict-of-interest-statement.pdf
Copyright License Agreement	105147-copyright-assignment.pdf
Non-Native Speakers of English Editing Certificate	105147-non-native-speakers.pdf
Peer-review Report	105147-peer-reviews.pdf
Scientific Misconduct Check	105147-scientific-misconduct-check.png
Scientific Editor Work List	105147-scientific-editor-work-list.pdf
CrossCheck Report	105147-crosscheck-report.pdf