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

梁思燕,李 怡,许 琼

肿瘤代谢与营养电子杂志 ›› 2025, Vol. 12 ›› Issue (1) : 99-104.

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肿瘤代谢与营养电子杂志 ›› 2025, Vol. 12 ›› Issue (1) : 99-104.
论著

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

  • 梁思燕,李 怡,许 琼
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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
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摘要

目的 探索基于肺癌患者营养状况模型构建在肺癌患者营养管理中的效果,并建立多因素 Logistic 回归分析预后影 响因素。 方法 选取中山市小榄人民医院肿瘤科 2021 年 4 月至 2024 年 4 月期间收治的 178 例肺癌临床资料进行回顾性分 析,根据时间点分组,以 2022 年 12 月为截断点,2022 年 12 月之前接受常规营养治疗的 89 例患者作为对照组,2022 年 12 月之 后接受基于营养状况构建的营养治疗的 89 例患者作为试验组,比较两组营养指标、人体成分指标差异后,再统计患者并发症 发生情况,根据有无出现并发症分为两组,即预后较好组(n = 146,未出现并发症),预后欠佳组( n = 32,出现并发症),比较两 组一般资料后,经多因素 Logistic 回归分析影响预后因素。 结果 试验组和对照组患者经治疗后白蛋白、总蛋白、血红蛋白、患 者主观整体评估(PG-SGA)评分、内脏脂肪面积、体脂百分比、骨骼肌、蛋白质指标均较同组治疗前有所改善(P<0. 05),而试 验组治疗后 2 周的白蛋白水平(46. 39±4. 58)g / L、总蛋白水平(62. 49±3. 58) g / L、血红蛋白水平(116. 68±7. 78) g / L、内脏脂肪 面积(80. 35±4. 68)cm 2 、体脂百分比(25. 57±2. 51)%、骨骼肌(26. 85±2. 31) kg、蛋白质水平(9. 85±1. 26) kg 高于对照组(P< 0. 05),PG-SGA 评分(3. 86±1. 78)分低于对照组(P<0. 05),试验组治疗后的营养指标、人体成分指标差值也更优于对照组 (P<0. 05)。 同时,经多因素 Logistic 回归分析,临床分期Ⅳ期、常规营养治疗是影响肺癌患者预后情况的独立危险因素(P< 0. 05)。 结论 基于患者营养状况构建营养治疗干预效果显著,可改善肺癌患者的营养状态。 然而,临床分期Ⅳ期、常规营养治 疗会对肺癌患者预后产生不利影响,因此对于病情较重者需合理选择营养治疗。

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

关键词

肺癌 / 营养状况 / 营养治疗 / 治疗响应 / 预测模型 / 预后 / 营养风险筛查 / 康复

Key words

Lung cancer / Nutritional status / Nutritional management / Treatment response / Predictive model / Prognosis / Nutritional risk screening / Rehabilitation

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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[J]. Electronic Journal of Metabolism and Nutrition of Cancer. 2025, 12(1): 99-104

基金

广东省中山市医学科研项目(2021A020329)

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