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