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World J Crit Care Med. Sep 9, 2025; 14(3): 108272
Published online Sep 9, 2025. doi: 10.5492/wjccm.v14.i3.108272
Predicting weaning failure from invasive mechanical ventilation: The promise and pitfalls of clinical prediction scores
Maneesh Gaddam, Dedeepya Gullapalli, Zayaan A Adrish, Arnav Y Reddy, Muhammad Adrish
Maneesh Gaddam, Department of Pulmonary, Critical Care and Sleep Medicine, Appalachian Regional Healthcare, Hazard, KY 41701, United States
Dedeepya Gullapalli, Department of Internal Medicine, Appalachian Regional Healthcare, Harlan, KY 40831, United States
Zayaan A Adrish, Arnav Y Reddy, Lawrence E Elkins High School, Missouri City, TX 77479, United States
Muhammad Adrish, Section of Pulmonary and Critical Care Medicine, Ben Taub Hospital/Baylor College of Medicine, Houston, TX 77030, United States
Author contributions: Gaddam M and Adrish M contributed to the study’s conceptualization and methodology; All co-authors contributed to data acquisition; The original draft was prepared by Gaddam M, Gullapalli D, Adrish ZA and Reddy AY, and additional changes were made by Adrish M; Adrish M has supervised and final edited the manuscript; All co-authors provided intellectual contributions and made critical revisions to this paper; All authors approved the final version of the manuscript.
Conflict-of-interest statement: Authors report no financial conflicts relevant to this paper.
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: https://creativecommons.org/Licenses/by-nc/4.0/
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
Received: April 9, 2025
Revised: April 29, 2025
Accepted: June 3, 2025
Published online: September 9, 2025
Processing time: 100 Days and 9.9 Hours
Core Tip

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.