A prediction model of nutritional management and treatment response of lung cancer patients was constructed based on the
nutritional status of lung cancer patients
Liang Siyan, Li Yi, Xu Qiong
Department of Oncology Xiaolan People's Hospital of Zhongshan Zhongshan 528400 Guangdong China
Abstract：Objective Explore the effect of the model construction based on the nutritional status of lung cancer patients in the
nutritional management of lung cancer patients and establish a binary Logistic regression to analyze the prognostic factors. Method
The clinical data of 178 cases of lung cancer admitted in Zhongshan Xiaolan People's Hospital from April 2021 to April 2024 were
selected for retrospective analysis group according to the time points taking December 2022 as the cut-off point of the 89 patients
who received routine nutritional support before December 2022 and served as controls 89 patients who received nutritional management
after December 2022 constructed based on nutritional status as the observation group after comparing the differences between
nutritional indicators and human composition indexes recount the occurrence of patient complications Divided into two groups
according to the presence of presence that is the better prognosis group n = 146 no complications have occurred Group with poor
prognosis n = 32 complications occur After comparing the two groups of general data Prognostic factors were influenced by the
binary Logistic regression analysis. Result In the observation group and the control group albumin total protein hemoglobin
PG-SGA score visceral fat area body fat percentage skeletal muscle and protein index all improved compared with the same group
P <0. 05 however albumin 46. 39 ± 4. 58 g / L total protein 62. 49 ± 3. 58 g / L hemoglobin 116. 68 ± 7. 78 g / L visceral
fat area 80. 35 ± 4. 68 cm
2
body fat percentage 25. 57 ± 2. 51 % skeletal muscle 26. 85 ± 2. 31 kg protein 9. 85 ± 1. 26 kg was
higher than the control group P <0. 05 The PG-SGA score 3. 86 ± 1. 78 score was lower than that of the control group P <
0. 05 The difference between nutrition index and human composition index in the observation group was also better than that in the
control group P <0. 05 . Meanwhile by binary Logistic regression analysis clinical stage IV and routine nutritional support were
independent factors affecting the prognosis of lung cancer patients P <0. 05 . Conclusion The nutritional management intervention based on the nutritional status of lung cancer patients is effective and can improve the nutritional status. However clinical stage IV and
routine nutritional support will adversely affect the prognosis of lung cancer patients so the nutritional support should be reasonably
selected for the more severe patients
梁思燕,李 怡,许 琼. 基于肺癌患者营养状况构建肺癌患者营养治疗与治疗响应的预测模型[J]. 肿瘤代谢与营养电子杂志, 2025, 12(1): 99-104.
Liang Siyan, Li Yi, Xu Qiong. A prediction model of nutritional management and treatment response of lung cancer patients was constructed based on the
nutritional status of lung cancer patients. Electron J Metab Nutr Cancer, 2025, 12(1): 99-104.
