Zhen J, Chen W, Xu YF, Ma YM. Risk factors and prediction model for acute respiratory distress syndrome in patients with digestive tumor after surgery. World J Gastrointest Surg 2026; 18(1): 112103 [DOI: 10.4240/wjgs.v18.i1.112103]
Corresponding Author of This Article
Ying-Min Ma, MD, Professor, Beijing Youan Hospital, Capital Medical University, No. 8 Xitoutiao outside You’anmen, Fengtai District, Beijing 100069, China. jessicaj140505@163.com
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Retrospective Study
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This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (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/
Jan 27, 2026 (publication date) through Jan 28, 2026
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Journal Information of This Article
Publication Name
World Journal of Gastrointestinal Surgery
ISSN
1948-9366
Publisher of This Article
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
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Zhen J, Chen W, Xu YF, Ma YM. Risk factors and prediction model for acute respiratory distress syndrome in patients with digestive tumor after surgery. World J Gastrointest Surg 2026; 18(1): 112103 [DOI: 10.4240/wjgs.v18.i1.112103]
World J Gastrointest Surg. Jan 27, 2026; 18(1): 112103 Published online Jan 27, 2026. doi: 10.4240/wjgs.v18.i1.112103
Risk factors and prediction model for acute respiratory distress syndrome in patients with digestive tumor after surgery
Jie Zhen, Wei Chen, Yi-Fei Xu, Ying-Min Ma
Jie Zhen, Wei Chen, Yi-Fei Xu, Department of Intensive Care Unit, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China
Ying-Min Ma, Beijing Youan Hospital, Capital Medical University, Beijing 100069, China
Author contributions: Zhen J conceived the project and wrote the manuscript; Chen W designed the study and acquired the data; Xu YF analyzed the data; Ma YM edited the manuscript; and all authors contributed to the article and approved the submitted version.
Institutional review board statement: This study was approved by the Medical Ethics Committee of Beijing Shijitan Hospital, Capital Medical University, approval No. IIT2025-023-002.
Informed consent statement: The ethics committee approved the waiver of informed consent because of the retrospective nature of this study.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Data sharing statement: The data used in this study can be obtained from the corresponding author upon request.
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: Ying-Min Ma, MD, Professor, Beijing Youan Hospital, Capital Medical University, No. 8 Xitoutiao outside You’anmen, Fengtai District, Beijing 100069, China. jessicaj140505@163.com
Received: August 15, 2025 Revised: September 16, 2025 Accepted: December 1, 2025 Published online: January 27, 2026 Processing time: 159 Days and 2 Hours
Core Tip
Core Tip: This study identified advanced age, smoking history, preoperative pulmonary infection, hypoalbuminemia, impaired pulmonary function, and anastomotic leakage as key risk factors for postoperative acute respiratory distress syndrome in patients with digestive tumors. A novel nomogram prediction model based on these factors demonstrated excellent discriminative ability (area under the curve = 0.86-0.91) in identifying high-risk patients. These findings emphasize the importance of preoperative optimization (e.g., smoking cessation, infection control, and nutritional support) and postoperative vigilance, particularly in patients with poor pulmonary reserve. This practical tool enables individualized risk assessment and early intervention to reduce acute respiratory distress syndrome incidence and improve surgical outcomes.
