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Original Research

Preoperative Prognostic Nutrition Index as a Prognostic Indicator of Survival in Elderly Patients Undergoing Gastric Cancer Surgery

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Pages 5263-5273 | Published online: 02 Jul 2021
 

Abstract

Purpose

Gastric cancer is a common tumor type associated with nutritional and immune status. The aim of the current study was to investigate the prognostic value of a preoperative prognostic nutritional index (PNI), composed of nutritional factors and immune factors in elderly patients undergoing gastric cancer surgery.

Patients and Methods

A total of 454 patients undergoing gastric cancer surgery were divided into two groups based on preoperative PNI scores: ≤45.1 (n = 307) and >45.1 (n = 147). Survival analysis was performed using the Kaplan–Meier method and Log rank tests. Univariate and multivariate analyses were conducted to identify independent prognostic factors using a Cox proportional hazards model.

Results

According to the X-tile program, the optimal cutoff value for predicting overall survival (OS) with the PNI was 45.1. The receiver operating characteristic analysis revealed that PNI exhibited 70.6% sensitivity and 56.5% specificity for predicting death during long-term follow-up. The cumulative incidence of postoperative 4-year mortality indicated that the risk of death increased significantly for PNI ≤45.1. In multivariate analysis, preoperative PNI was a significant independent predictor of mortality. In the age-stratified subgroup analysis, preoperative PNI was more sensitive for the old elderly subgroup than for the young elderly subgroup.

Conclusion

Preoperative PNI is a sensitive and specific prognostic predictor among elderly patients undergoing gastric cancer surgery.

Acknowledgments

This study was supported by the National Key R&D Program of China [grant number 2018YFC2000301]; National Natural Science Foundation [grant no. 81800262]; Science and Technology Planning Project of Guangzhou [grant numbers 202002030101 and 201903010005]; Medical Science and Technology Research Fund Project of Guangdong [grant number 202051422855320]; and the High-level Hospital Construction Project [grant number DFJH2020002].

Disclosure

The authors report no conflicts of interest in this work.