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Retrospective Study
©Author(s) (or their employer(s)) 2026. No commercial re-use. See Permissions. Published by Baishideng Publishing Group Inc.
World J Gastrointest Surg. Feb 27, 2026; 18(2): 114483
Published online Feb 27, 2026. doi: 10.4240/wjgs.v18.i2.114483
Construction of a risk prediction model for postoperative gastrointestinal dysfunction and prevention in patients with gastrointestinal tumors
Xiao-Hui Wang, Yi Wang, Xi Liu, Xiao-Lan Ouyang, Fen Xie, Lu Liao
Xiao-Hui Wang, Xi Liu, Xiao-Lan Ouyang, Fen Xie, Lu Liao, Department of Gastrointestinal Hernia Surgery, Ganzhou People's Hospital, Ganzhou 341000, Jiangxi Province, China
Yi Wang, School of Nursing, Gannan Medical University, Ganzhou 341000, Jiangxi Province, China
Co-first authors: Xiao-Hui Wang and Yi Wang.
Author contributions: Wang XH and Wang Y contribute equally to this study as co-first authors; Wang XH and Wang Y were responsible for conceptualization, data curation, methodology, software, writing - original draft; Ouyang XL and Xie F were responsible for formal analysis, project administration, visualization; Liao L was responsible for investigation, supervision, validation, writing - review & editing.
Supported by Ganzhou City Science and Technology Plan, No. 2022-YB1477.
Institutional review board statement: The study was reviewed and approved by Institutional Review Board of Ganzhou People's Hospital (Approval No. PJB2024-012-02).
Informed consent statement: The ethics committee has agreed to waive the informed consent form.
Conflict-of-interest statement: The authors declare no conflicts of interest for this article.
Data sharing statement: Technical appendix, statistical code, and dataset available from the corresponding author at LLLLLuiao@yeah.net.
Corresponding author: Lu Liao, BM, Department of Gastrointestinal Hernia Surgery, Ganzhou People's Hospital, No. 16 Meiguan Avenue, Ganzhou 341000, Jiangxi Province, China. llllluiao@yeah.net
Received: October 17, 2025
Revised: November 24, 2025
Accepted: December 19, 2025
Published online: February 27, 2026
Processing time: 131 Days and 22.2 Hours
Abstract
BACKGROUND

The global incidence of gastrointestinal tumors is continuously increasing. Surgery remains the primary treatment modality. However, postoperative gastrointestinal dysfunction remains prevalent, severely impeding patient recovery and increasing medical burden. Existing research investigating risk prediction and preventive management has some limitations.

AIM

To construct a risk-prediction model for postoperative gastrointestinal dysfunction in patients with gastrointestinal tumors and explore preventive management strategies.

METHODS

Data from 176 patients who underwent gastrointestinal tumor surgery at the authors’ hospital between November 2022 and November 2024 were included. Patients were divided into groups according to Tilburg Frailty Scale scores on postoperative day 5. Risk factors were screened using univariate and multivariate logistic regression analyses to establish a model, and the effectiveness of preventive management measures was evaluated.

RESULTS

Seven factors including age, sex, body mass index, tumor stage, operative duration, and preoperative hemoglobin and albumin levels were identified as independent risk factors. The constructed model had an area under the receiver operating characteristic curve of 0.895. The incidence of postoperative gastrointestinal dysfunction in the intervention group was significantly lower than that in the control group using preventive management measures based on the model.

CONCLUSION

An effective risk-prediction model was constructed and independent risk factors were identified. Preventive management measures based on this model can reduce risk and provide a scientific basis for clinical practice.

Keywords: Gastrointestinal neoplasms; Postoperative gastrointestinal dysfunction; Risk prediction model; Preventive management; Intestinal barrier function

Core Tip: The global incidence of gastrointestinal tumors is rising, and postoperative gastrointestinal dysfunction remains prevalent, severely impeding recovery. This study aimed to construct a risk prediction model for this complication and explore preventive management strategies. Using data from 176 patients, seven independent risk factors—such as age, tumor stage, and operative duration—were identified. The model demonstrated high predictive accuracy, with an area under the receiver operating characteristic curve of 0.895. Preventive measures based on the model significantly reduced dysfunction incidence, offering a scientific basis for clinical practice.