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Updated: Feb 25, 2026

Laparoscopic Radical Gastrectomy for Remnant Gastric Cancer
Published on: October 31, 2025
Postoperative decrease of serum albumin predicts short-term complications in patients undergoing gastric cancer
Zhi-Jian Liu1, Xiao-Long Ge1, Shi-Chao Ai1
1Zhi-Jian Liu, Shi-Chao Ai, Feng Sun, Li Chen, Wen-Xian Guan, Department of Gastrointestinal Surgery, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, Jiangsu Province, China.
A postoperative decrease in serum albumin (∆ALB) of 14.0% or more accurately predicts short-term complications after gastrectomy. This simple predictor aids in identifying high-risk patients for gastric cancer surgery.
Area of Science:
- Gastroenterology
- Surgical Oncology
- Clinical Chemistry
Background:
- Postoperative complications following gastrectomy significantly impact patient outcomes.
- Accurate prediction of these complications is crucial for timely intervention and improved patient management.
Purpose of the Study:
- To identify a simple and accurate predictor for short-term postoperative complications after gastrectomy.
- To evaluate the efficacy of serum albumin decrease as a predictive marker.
Main Methods:
- A cohort of 223 patients undergoing gastric cancer resection was analyzed.
- Univariate and multivariate analyses identified risk factors, with receiver operating characteristic curves determining diagnostic accuracy.
- Postoperative decrease in serum albumin (∆ALB) was assessed as a predictor.
Main Results:
- Short-term complications occurred in 27.8% of patients.
- A postoperative ∆ALB ≥ 14.0% was an independent risk factor (OR = 17.957, P < 0.001), demonstrating higher accuracy than C-reactive protein.
- Patients with ∆ALB ≥ 14.0% experienced higher complication rates, prolonged hospital stays, and increased comprehensive complication index.
Conclusions:
- Postoperative ∆ALB ≥ 14.0% is a reliable and simple predictor for short-term complications after gastric cancer resection.
- This finding facilitates early identification of high-risk patients, enabling proactive management strategies.
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