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Articles Published Processes
2/5/2026 6:01:50 AM | Browse: 0 | Download: 0
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Received |
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2025-12-15 05:32 |
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Peer-Review Started |
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2025-12-15 05:32 |
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First Decision by Editorial Office Director |
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2025-12-29 08:23 |
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Return for Revision |
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2025-12-29 08:23 |
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Revised |
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2026-01-08 11:36 |
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Publication Fee Transferred |
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Second Decision by Editor |
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2026-01-23 02:41 |
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Second Decision by Editor-in-Chief |
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Final Decision by Editorial Office Director |
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2026-01-23 06:40 |
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Articles in Press |
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2026-01-23 06:40 |
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Edit the Manuscript by Language Editor |
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Typeset the Manuscript |
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2026-01-29 07:30 |
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Publish the Manuscript Online |
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2026-02-05 06:01 |
| ISSN |
2307-8960 (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) 2026. Published by Baishideng Publishing Group Inc. All rights reserved. |
| Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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| Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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| Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
| Website |
http://www.wjgnet.com |
| Category |
Rehabilitation |
| Manuscript Type |
Retrospective Study |
| Article Title |
Machine learning model for predicting hospital-acquired functional decline in older patients with postoperative cardiovascular surgery
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| Manuscript Source |
Invited Manuscript |
| All Author List |
Ryotaro Hiramatsu, Shinsuke Imaoka, Shohei Minata, Hidenori Sako and Noboru Sato |
| ORCID |
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| Funding Agency and Grant Number |
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| Corresponding Author |
Shinsuke Imaoka, PhD, Research Fellow, Department of Rehabilitation, Oita Oka Hospital, 3-7-11 Nishitsurusaki, Oita 870-0192, Japan. imaoka2734@keiwakai.oita.jp |
| Key Words |
Cardiac surgery; Machine learning; Hospital-acquired functional decline; Extreme gradient boosting model; Predictive modeling |
| Core Tip |
Hospital-acquired functional decline (HAFD) is a critical yet underrecognized complication in older patients undergoing cardiovascular surgery. We developed and validated a machine learning–based prediction model for HAFD using preoperative clinical and physical function data. Among seven models, the extreme gradient boosting model demonstrated the highest predictive performance. SHapley Additive exPlanations analysis identified female sex and slower preoperative walking speed as key contributors to HAFD. This interpretable model may support early risk stratification and targeted preoperative interventions to prevent functional decline in clinical practice. |
| Publish Date |
2026-02-05 06:01 |
| Citation |
Hiramatsu R, Imaoka S, Minata S, Sako H, Sato N. Machine learning model for predicting hospital-acquired functional decline in older patients with postoperative cardiovascular surgery. World J Clin Cases 2026; 14(4): 117700 |
| URL |
https://www.wjgnet.com/2307-8960/full/v14/i4/117700.htm |
| DOI |
https://dx.doi.org/10.12998/wjcc.v14.i4.117700 |
© 1993-2026 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
California Corporate Number: 3537345
