Prognostic association and prediction model construction of malnutrition and NPC patients based on GLIM criteria

1Xu Ting,2Lin Jiajia,2Lai Jianyue,2Cheng Mei,1Zhao Huiling

Electronic Journal of Metabolism and Nutrition of Cancer ›› 2024, Vol. 11 ›› Issue (4) : 519-524.

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Electronic Journal of Metabolism and Nutrition of Cancer ›› 2024, Vol. 11 ›› Issue (4) : 519-524.

Prognostic association and prediction model construction of malnutrition and NPC patients based on GLIM criteria

  • 1Xu Ting,2Lin Jiajia,2Lai Jianyue,2Cheng Mei,1Zhao Huiling
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Abstract

Objective To explore the prognostic association of malnutrition and NPC patients based on GLIM criteria and the prediction model construction. Method A total of 185 NPC patients were collected from January 2022 to January 2023 and were divided into two groups based on GLIM criteria namely malnutrition group n = 72 and no malnutrition group n = 113 . Compared with general data malnutrition factors were affected by binary Logistic regression analysis. After another 12-month follow-up association with nutritional status by Cox proportional risk Kaplan-Meier survival analysis and ROC curve analysis of malnutrition based on GLIM criteria. Result After binary Logistic regression analysis age ≥ 60 years OR = 2. 393 TNM stage Ⅲ ~ Ⅳ OR = 2. 053 ≥3 gastrointestinal symptoms OR = 2. 288 and chemoradiotherapy OR = 2. 097 were independent risk factors for malnutrition in NPC patients P <0. 05 . After a 12-month follow-up visit 66 progression-free survival in the malnutrition group 112 control subjects with progression-free survival according to the Kaplan-Meier survival analysis statistical difference in death / recurrence rate and survival time between the two groups P <0. 05 After the Cox proportional risk analysis Malnutrition was an independent factor affecting the prognosis of NPC patients P <0. 05 After the ROC curve analysis Assessment of malnutrition based on GLIM criteria in predicting NPC prognosis AUC = 0. 743 S. E. = 0. 083 P = 0. 029 95% CI = 0. 580 - 0. 907 sensitivity of 85. 7% specificity of 62. 9% the Youden index is set at 0. 486 indicating a high predictive efficacy of malnutrition assessment based on the GLIM criteria. Conclusion The nutritional status of nasopharyngeal cancer patients will be affected by age tumor TNM digestive tract symptoms and radiotherapy and chemotherapy. For high-risk factors precise prevention and rehabilitation should be required to reduce the malnutrition rate. At the same time it is necessary to focus on monitoring the malnutrition status based on GLIM standards timely detect malnutrition and guide clinical intervention to improve the prognosis.

Key words

GLIM standard / Malnutrition / Nasopharyngeal carcinoma / Prognosis / Prediction / Model construction / Nutrition monitoring / Rehabilitation

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1Xu Ting,2Lin Jiajia,2Lai Jianyue,2Cheng Mei,1Zhao Huiling. Prognostic association and prediction model construction of malnutrition and NPC patients based on GLIM criteria[J]. Electronic Journal of Metabolism and Nutrition of Cancer. 2024, 11(4): 519-524
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