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©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastrointest Oncol. Sep 15, 2024; 16(9): 3761-3764
Published online Sep 15, 2024. doi: 10.4251/wjgo.v16.i9.3761
Published online Sep 15, 2024. doi: 10.4251/wjgo.v16.i9.3761
Predictive modeling for post operative delirium in elderly
Chris B Lamprecht, Abeer Dagra, Brandon Lucke-Wold, Lillian S. Wells Department of Neurosurgery, University of Florida, Gaineville, FL 32610, United States
Author contributions: Lamprecht CB and Dagra A contributed to literature research, manuscript composition and editing; Lucke-Wold B contributed to conceptualization and editing the manuscript.
Conflict-of-interest statement: There are no conflict of interests to disclose for all authors.
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: Abeer Dagra, BSc, Research Assistant, Lillian S. Wells Department of Neurosurgery, University of Florida, Newell Drive, Gainesville, FL 32610, United States. abeer.dagra@ufl.edu
Received: March 19, 2024
Revised: May 9, 2024
Accepted: June 3, 2024
Published online: September 15, 2024
Processing time: 173 Days and 6.4 Hours
Revised: May 9, 2024
Accepted: June 3, 2024
Published online: September 15, 2024
Processing time: 173 Days and 6.4 Hours
Core Tip
Core Tip: Postoperative delirium (POD) presents significant challenges in elderly patients, with no current gold standard for prevention. This editorial sheds light on a study that introduces a predictive model utilizing synthetic minority oversampling technique (SMOTE) to identify high-risk patients. Key risk factors include comorbidity index, anesthesia grade, and surgical duration. The editorial discusses that standardizing predictive models across surgical subspecialties is crucial for effective POD manage