Nutritional Risk Assessment by Scored Patient-Generated Subjective Global Assessment Associated with Demographic Characteristics in 23,904 Common Malignant Tumors Patients

Abstract

Malnutrition is a problem affecting tumor patients greatly. This study aims to investigate whether demographic characteristics are related to the malnutrition of cancer patients. Twenty-three thousand nine hundred and four (23,904) patients with 16 common malignant tumors were enrolled in the study. Patient Generated Subjective Global Assessment (PG-SGA) was used as a screening tool to assess the nutritional risk of patients and analysis of variance was used to compare PG-SGA scores of patients. Correlations between PG-SGA scores and demographic characteristics were evaluated by correlation analysis. We observed that 57.88% tumor patients had some degree of malnutrition (score ≥4) and only 20.61% were well-nourished (score 0–1). Screening scores were higher among older patients for most of the tumors. PG-SGA scores showed the significant difference between females and males in some tumors. In addition, the PG-SGA scores of some tumors were significantly different in various types of medical insurances, education levels, occupations, regions, and nationalities. Correlation analysis indicated the existence of associations between PG-SGA scores and demographic characteristics. Understanding the distribution of nutritional risk of tumor patients and the correlations between the PG-SGA scores and demographic characteristics could help identify subgroups who may benefit from targeted interventions to improve the effect of clinical treatment and the quality of life for oncology patients.

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Acknowledgments

We thank Suyi Li, Zengning Li, Kunhua Wang, Jing Wu, Ying He, Jiajun Yang, Conghua Xie, Fuxiang Zhou, Xinxia Song, Gongyan Chen, Wenjun Ma, Suxia Luo, Zihua Chen, Minghua Cong, Hu Ma, Chunling Zhou, Wei Wang, Qi Luo, Yongmei Shi, Yumei Qi, Haiping Jiang, Wenxian Guan, Junqiang Chen, Jiaxin Chen, Yu Fang, Lan Zhou, Yongdong Feng, Rongshao Tan, Tao Li, Junwen Ou, Qingchuan Zhao, Jianxiong Wu, Xin Lin, Liuqing Yang and Zhenming Fu for acquisition and Verification of data.

Disclosure Statement

The authors declare that they have no competing interests.

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Funding

This work was financially supported by The Investigation on Nutrition Status and Clinical Outcome of Common Cancers Group (INSCOC) of Chinese Society for Oncological Nutrition & Supportive Care; The National Key Research and Development Program [2017YFC1309200]; The National Natural Science Foundation of China [U1604168]; Support Program for Scientific and Technological Innovation Talents of Henan Universities [19HASTIT005]; Medical Science and Technology key projects of Henan Province [201602295].