Application of nutritional therapy for modified jejunostomy in patients with esophageal cancer and construction of prognostic risk model

Wu Haiyan, Xu Jingjing, Chen Chen, Wu Chenchen, Lu Dongmei, Yin Tianjiao

Electronic Journal of Metabolism and Nutrition of Cancer ›› 2025, Vol. 12 ›› Issue (2) : 181-188.

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PDF(926 KB)
Electronic Journal of Metabolism and Nutrition of Cancer ›› 2025, Vol. 12 ›› Issue (2) : 181-188.

Application of nutritional therapy for modified jejunostomy in patients with esophageal cancer and construction of prognostic risk model

  • Wu Haiyan, Xu Jingjing, Chen Chen, Wu Chenchen, Lu Dongmei, Yin Tianjiao
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Abstract

Objective To explore the application effect of modified jejunostomy nutrition support in esophageal cancer and construct the risk prediction model of complications. Method Retrospective analysis of 197 esophageal cancer patients was collected from the First Hospital of Huai 'an affiliated to Nanjing Medical University / First People's Hospital of Huai 'an City from April 2020 to October 2023. The patients were divided into two groups based on treatment methods the control group of 98 cases received nasogastric tube insertion while the experimental group of 99 cases received modified jejunal stoma for nutritional support. The study compared the nutritional indicators and complication rates during the treatment period at 14 days post-intervention. Additionally the incidence of postoperative complications was recorded and divided into two groups the group with complications n = 24 and the group without complications n = 173 . For indicators showing differences in univariate analysis binary Logistic regression was used to identify independent factors influencing postoperative complications and the evaluation effectiveness of the binary logistic regression model was verified. The above procedures were summarized for the training group. Result The total protein albumin and hemoglobin levels in the intervention group were higher than those in the control group after the trial with a lower incidence of postoperative complications compared to the control group and the difference was statistically significant P<0. 05 . Univariate analysis showed that age surgery duration alcohol consumption history anastomosis site nutritional risk and intervention method had an impact on postoperative complications P<0. 05 . Bivariate Logistic regression analysis revealed that age ≥60 years surgery duration < 240 min alcohol consumption history anastomosis site at the neck nutritional risk and nasogastric tube use were independent risk factors for postoperative complications in esophageal cancer patients P<0. 05 . The samples of all the studies are divided into the training set and the validation set. An evaluation model was established based on these risk factors with the training set showing an AUC of 0. 840 a 95%CI of 0. 766 to 0. 913 a specificity of 75. 10% and a sensitivity of 79. 20% the validation set had an AUC of 0. 828 a 95%CI of 0. 711 to 0. 944 a specificity of 98. 84% and a sensitivity of 66. 67% indicating that the model has good discriminative power. Conclusion Compared to nasogastric tube insertion modified jejunal stoma nutrition support can better improve the postoperative nutritional status of esophageal cancer patients. However postoperative complications are still influenced by factors such as nastomosis site age alcohol consumption history nutritional risk intervention method and surgery duration. Therefore it is essential to focus on these risk factors and implement corresponding preventive and intervention measures to reduce postoperative complications in esophageal cancer patients and improve patient outcomes.

Key words

Modified jejunostomy tube / Nutritional support / Esophageal cancer / Complications / Risk / Prediction / Prognosis / Model building

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Wu Haiyan, Xu Jingjing, Chen Chen, Wu Chenchen, Lu Dongmei, Yin Tianjiao. Application of nutritional therapy for modified jejunostomy in patients with esophageal cancer and construction of prognostic risk model[J]. Electronic Journal of Metabolism and Nutrition of Cancer. 2025, 12(2): 181-188
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