Evidence map›Paper›PMID 40964193›Full record

ArticleJournal of inflammation research2025

Exploring Inflammatory-Related Factors Associated with Postoperative Length of Hospital Stay in Elderly Patients Undergoing Gastrointestinal Tumor Surgery Using Machine Learning.

Jing Liu, Yubang Hu, Xiaoxuan Zhan, Huanwei Wang, Cai Li

Abstract read
In one paragraph

Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jing Liu *Department of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China.
Yubang Hu *Department of Anesthesiology, the Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, People's Republic of China.
Xiaoxuan Zhan *Department of Anesthesiology, the Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, People's Republic of China.
Huanwei WangDepartment of Anesthesiology, the Eighth Affiliated Hospital, Sun Yat-Sen University, Shenzhen, People's Republic of China.
Cai LiDepartment of Anesthesiology, Nanfang Hospital, Southern Medical University, Guangzhou, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The influencing factors of postoperative recovery in elderly patients undergoing gastrointestinal tumor surgery are complex, and inflammatory responses have been confirmed to play a critical role. However, the specific impact of inflammatory cells on postoperative length of hospital stay (LOS) in elderly patients following general anesthesia for gastrointestinal surgery remains unclear. Methods: This study collected perioperative data from elderly patients who underwent gastrointestinal tumor surgery at a tertiary hospital between 2019 and 2023. By analyzing the relationship between perioperative factors and postoperative LOS, we first used the LASSO algorithm for variable selection and then employed XGBoost modeling to identify factors associated with rapid (LOS < 7 days) and delayed (LOS > 12 days) discharge. We further explored how inflammatory cells affect postoperative recovery in elderly patients, with results visualized using SHAP (SHapley Additive exPlanations) plots. Results: A total of 300 elderly patients who underwent gastrointestinal tumor resection were included, with 58.7% male and a mean age of 72 ± 6.4 years. Key factors associated with rapid discharge included operative time, age, blood loss, total intraoperative fluid input, urine output, preoperative neutrophil percentage, hemoglobin, and preoperative creatinine. Specifically, a preoperative neutrophil percentage in the 60%-70% range was linked to faster discharge. For delayed discharge, significant factors included age, operative time, preoperative creatinine, preoperative hemoglobin, preoperative neutrophil percentage, intraoperative urine output, the difference in neutrophil counts between pre- and postoperative periods, total intraoperative fluid input, and blood loss. Patients with preoperative neutrophil percentages of 70%-80% and neutrophil count differences of 5%-25% were more likely to experience delayed discharge. Conclusion: In elderly patients undergoing gastrointestinal tumor resection, preoperative neutrophil percentage and the change in neutrophil percentages from pre- to postoperative periods significantly influence postoperative LOS.

Indexed as

elderly patientsgastrointestinal tumor surgeryinflammatory cellsmachine learning

Identifiers

PMID40964193
PMCPMC12439816

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