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7/18/2025 3:29:41 PM | Browse: 10 | Download: 58
Publication Name World Journal of Critical Care Medicine
Manuscript ID 108272
Country United States
Received
2025-04-09 10:09
Peer-Review Started
2025-04-09 10:10
To Make the First Decision
Return for Revision
2025-04-17 02:40
Revised
2025-04-29 05:59
Second Decision
2025-06-03 02:53
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2025-06-03 12:03
Articles in Press
2025-06-03 12:03
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2025-07-03 01:55
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 Critical Care Medicine
Manuscript Type Minireviews
Article Title Predicting weaning failure from invasive mechanical ventilation: The promise and pitfalls of clinical prediction scores
Manuscript Source Unsolicited Manuscript
All Author List Maneesh Gaddam, Dedeepya Gullapalli, Zayaan A Adrish, Arnav Y Reddy and Muhammad Adrish
ORCID
Author(s) ORCID Number
Muhammad Adrish http://orcid.org/0000-0002-5553-6182
Funding Agency and Grant Number
Corresponding Author Muhammad Adrish, Associate Professor, Section of Pulmonary and Critical Care Medicine, Ben Taub Hospital/Baylor College of Medicine, 1504 Taub Loop, Houston, TX 77030, United States. aadrish@gmail.com
Key Words Mechanical ventilation; Weaning; Prediction models; Artificial intelligence; Respiratory failure
Core Tip This paper aims to review the roles and limitations of clinical prediction scores in guiding ventilator weaning decisions. It highlights the variability in score performance, the need for population-specific validation, and explores the emerging potential of artificial intelligence-driven models to enhance accuracy, personalization, and safety in invasive mechanical ventilation liberation.
Publish Date 2025-07-18 15:29
Citation <p>Gaddam M, Gullapalli D, Adrish ZA, Reddy AY, Adrish M. Predicting weaning failure from invasive mechanical ventilation: The promise and pitfalls of clinical prediction scores. <i>World J Crit Care Med</i> 2025; 14(3): 108272</p>
URL https://www.wjgnet.com/2220-3141/full/v14/i3/108272.htm
DOI https://dx.doi.org/10.5492/wjccm.v14.i3.108272
Full Article (PDF) WJCCM-14-108272-with-cover.pdf
Manuscript File 108272_Auto_Edited_062236.docx
Answering Reviewers 108272-answering-reviewers.pdf
Audio Core Tip 108272-audio.mp3
Conflict-of-Interest Disclosure Form 108272-conflict-of-interest-statement.pdf
Copyright License Agreement 108272-copyright-assignment.pdf
Peer-review Report 108272-peer-reviews.pdf
Scientific Misconduct Check 108272-scientific-misconduct-check.png
Scientific Editor Work List 108272-scientific-editor-work-list.pdf
CrossCheck Report 108272-crosscheck-report.pdf