Machine learning insights on intensive care unit-acquired weakness

doi:10.12998/wjcc.v12.i18.3285

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Jun 26, 2024 (publication date) through Nov 7, 2024

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World Journal of Clinical Cases

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2307-8960

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Clin Cases. Jun 26, 2024; 12(18): 3285-3287
Published online Jun 26, 2024. doi: 10.12998/wjcc.v12.i18.3285

Machine learning insights on intensive care unit-acquired weakness

Muad Abdi Hassan, Abdulqadir J Nashwan

Muad Abdi Hassan, Department of Medical Education, Hamad Medical Corporation, Doha 3050, Qatar

Abdulqadir J Nashwan, Department of Nursing, Hamad Medical Corporation, Doha 3050, Qatar

Author contributions: Hassan MA and Nashwan AJ contributed to the manuscript's writing, editing, and literature review.

Conflict-of-interest statement: All the authors declare that they have no conflict of interest.

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: Abdulqadir J Nashwan, MSc, Research Scientist, Department of Nursing, Hamad Medical Corporation, Rayyan Road, Doha 3050, Qatar. anashwan@hamad.qa

Received: February 22, 2024
Revised: March 14, 2024
Accepted: April 28, 2024
Published online: June 26, 2024
Processing time: 117 Days and 1.8 Hours

Core Tip

Core Tip: The study categorized patients into two groups: Intensive care unit-acquired weakness (ICU-AW) and non-ICU-AW, based on their condition on the 14^th day post-ICU admission. The researchers collected data from the initial 14 d of the ICU stay, which included age, comorbidities, sedative and vasopressor dosages, duration of mechanical ventilation, length of the ICU stay, and rehabilitation therapy. They then examined the relationships between these variables and ICU-AW.