已发表论文

超重或肥胖癌症患者预后营养指数与死亡率的关系:一项多中心观察性研究

 

Authors Zhang X, Li JH, Zhang Q, Li QQ, Zhang KP, Tang M, Ge YZ, Li W, Xu HX, Guo ZQ, Shi HP

Received 27 May 2021

Accepted for publication 28 July 2021

Published 14 August 2021 Volume 2021:14 Pages 3921—3932

DOI https://doi.org/10.2147/JIR.S321724

Checked for plagiarism Yes

Review by Single anonymous peer review

Peer reviewer comments 2

Editor who approved publication: Dr Monika Sharma

Background: Overweight and obese patients with cancer present with chronic inflammation, dysfunctional antitumor immunity and malnutrition risk. Prognostic nutritional index (PNI) is a promising indicator for predicting inflammatory, immunological and nutritional states; however, its prognostic value in overweight and obese patients with cancer has not been explored. Therefore, the aim of the current study was to explore the prognostic value of PNI levels in overweight and obese patients with cancer.
Methods: The current large-scale retrospective cohort multicenter study included 3532 patients. Time-dependent receiver operating characteristic (ROC) curve analysis was used to determine the prediction accuracy of PNI levels for mortality of overweight and obese patients with cancer. Restricted cubic splines were used to model the association between PNI levels and mortality. Association between low PNI and overall survival rate was analyzed using the Kaplan–Meier method and Cox regression model.
Results: Area under the curve (AUC) of the PNI for all-cause mortality was higher compared with that of the neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR) in overweight and obese patients with cancer. There was a significant inverse relationship between PNI levels and all-cause mortality (per SD increment-HR: 0.79; 95% CI: 0.74, 0.85; < 0.001). Subgroup analysis showed that the risk for mortality significantly decreased with increase in PNI levels in patients at risk of malnutrition (per SD increment-HR: 0.67; 95% CI: 0.57, 0.78; < 0.001) and elderly patients (per SD increment-HR: 0.74; 95% CI: 0.64, 0.84; < 0.001). In addition, PNI levels showed an inverse association with mortality in patients without malnutrition risk (per SD increment-HR: 0.81; 95% CI: 0.75, 0.88; < 0.001). Subgroup analysis based on tumor type showed that low PNI was an independent predictor of poor prognosis for patients with lung cancer, gastric cancer and hepatobiliary and pancreatic cancer.
Conclusion: Low PNI levels are associated with an increased risk for all-cause mortality. PNI level is a potential effective inflammation-based prognostic tool for overweight and obese patients with cancer.
Keywords: PNI, mortality, overweight or obese, prognosis, cancer patients