1. Using the geriatric nutritional risk index to predict outcomes in older patients with remnant gastric cancer after gastrectomy: a retrospective multicenter study in Japan.
- Author
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Matsunaga T, Saito H, Osaki T, Fukuda K, Fukumoto Y, Takahashi S, Taniguchi K, Iwamoto A, Kuroda H, Katano K, Shimizu S, Shishido Y, Miyatani K, Sakamoto T, and Fujiwara Y
- Subjects
- Humans, Aged, Retrospective Studies, Female, Male, Prognosis, Japan epidemiology, Aged, 80 and over, Geriatric Assessment methods, Treatment Outcome, Survival Rate, Risk, Gastric Stump pathology, Predictive Value of Tests, Risk Assessment methods, Gastrectomy, Stomach Neoplasms surgery, Stomach Neoplasms mortality, Stomach Neoplasms pathology, Postoperative Complications epidemiology, Postoperative Complications etiology, Nutrition Assessment
- Abstract
Purpose: This study investigated the prognostic value of the geriatric nutritional risk index (GNRI) in patients undergoing curative gastrectomy for remnant gastric cancer (RGC)., Methods: This multicenter retrospective study included 105 patients with RGC of ≥ 65 years of age who underwent curative gastrectomy at 10 institutions in Japan between January 2000 and December 2016. Postoperative complications, overall survival (OS), and disease-specific survival (DSS) were analyzed., Results: Receiver operating curve analyses indicated that the optimal cutoff value of the GNRI for OS was 95.4. Patients were categorized into high and low GNRI groups based on the optimal GNRI cutoff value. The GNRI was significantly correlated with body mass index (p < 0.001), amount of bleeding (p = 0.021), Clavien-Dindo grade 5 postoperative complications (p = 0.040), death caused by primary disease (p = 0.010), and death caused by other diseases (p = 0.002). The OS and DSS were significantly worse in the low GNRI group. A low GNRI and T3 or deeper tumor invasion were independent prognostic factors for OS and DSS., Conclusions: The GNRI is a promising predictor of both short- and long-term outcomes in older patients with RGC., (© 2024. The Author(s) under exclusive licence to Springer Nature Singapore Pte Ltd.)
- Published
- 2024
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