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ORIGINAL RESEARCH article

Front. Nutr.
Sec. Nutrition and Metabolism
Volume 11 - 2024 | doi: 10.3389/fnut.2024.1425317
This article is part of the Research Topic Nutrition and Metabolism in Cancer: Role in Prevention and Prognosis View all 13 articles

Development and Validation of a Novel Prognostic Prediction System Based on GLIM-defined malnutrition for Patients with Colorectal Cancer Underwent Radical Surgery

Provisionally accepted
Xialin Yan Xialin Yan 1Junchang Zhu Junchang Zhu 1Junqi Wang Junqi Wang 1Yingjie Lu Yingjie Lu 1Xingzhao Ye Xingzhao Ye 1Xiangwei Sun Xiangwei Sun 1Haojie Jiang Haojie Jiang 2Zongze Li Zongze Li 2Chenhao He Chenhao He 2Wenbo Zhai Wenbo Zhai 2Qiantong Dong Qiantong Dong 2Weizhe Chen Weizhe Chen 2Zhen Yu Zhen Yu 3Yifei Pan Yifei Pan 1Dongdong Huang Dongdong Huang 2*
  • 1 First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang Province, China
  • 2 Department of Gastrointestinal Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China, Wenzhou, China
  • 3 Department of Gastrointestinal Surgery, Shanghai Tenth People's Hospital, Tongji University, Shanghai, China

The final, formatted version of the article will be published soon.

    Background： Malnutrition often occurs in the patients with colorectal cancer. The aim of this study is to develop a predictive model based on of GLIM criteria for the patients with colorectal cancer and underwent radical surgery.Methods： From December 2015 to May 2021, patients with colorectal cancer and underwent radical surgery at our center were recruited in this study. GLIM-defined malnutrition and other clinicopathological characteristics were collected prospectively and screened by COX regeneration were applied to build the novel nomogram for prognostic prediction, which was validated and also compared with the traditional nutritional factors for prediction. Results： Among the 983 patients enrolled in this study, malnutrition was identified in 234 (23.80%) patients. Multivariate analysis indicated that GLIM-defined malnutrition is the independent risk factor for overall survival (HR=1.793, 95% CI=1.390-2.313 for moderate malnutrition and HR=3.485, 95% CI=2.087-5.818 for severe malnutrition). The novel nomogram based on GLIM criteria demonstrated a better performance than existing criteria, with AUC of 0.729, 0.703 and 0.683 for 1-year, 3-year and 5-year OS respectively in validation cohort. Besides, the risk score determined by this system exhibited the significantly poorer short-term and long-term clinical outcomes in high-risk group in both malnourished and well-nourished patients.Conclusion： Combining with handgrip strength, serum albumin level, TNM stage and etc. would improve the predictive effect of GLIM criteria for the patients with colorectal cancer who underwent radical surgery, and benefit the individual prognostic prediction of colorectal cancer.

    Keywords: global leadership initiative on malnutrition, Clinical Nutrition, colorectal cancer, nomogram, clinical outcomes

    Received: 29 Apr 2024; Accepted: 20 Sep 2024.

    Copyright: © 2024 Yan, Zhu, Wang, Lu, Ye, Sun, Jiang, Li, He, Zhai, Dong, Chen, Yu, Pan and Huang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Dongdong Huang, Department of Gastrointestinal Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China, Wenzhou, China

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