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ORIGINAL RESEARCH article

Front. Nutr.
Sec. Clinical Nutrition
Volume 11 - 2024 | doi: 10.3389/fnut.2024.1480390
This article is part of the Research Topic Nutrition and Metabolism in Cancer: Role in Prevention and Prognosis View all 21 articles

Construction of a preoperative emotional state and postoperative i ntra-abdominal pressure based prediction model for early enteral feeding intolerance in postoperative patients with gastric cancer

Provisionally accepted
Yingying Xu Yingying Xu 1Dandan Pei Dandan Pei 1*Yin Zhang Yin Zhang 2*Qiongyuan Hu Qiongyuan Hu 1Huanhuan Zhu Huanhuan Zhu 1*Hui Yan Hui Yan 1*Wenxian Guan Wenxian Guan 1*Li Chen Li Chen 1*Meiling Xu Meiling Xu 1*
  • 1 Department of Gastrointestinal Surgery, Nanjing Drum Tower Hospital, Nanjing, China
  • 2 Nanjing Drum Tower Hospital, Nanjing, Jiangsu Province, China

The final, formatted version of the article will be published soon.

    The incidence of enteral nutrition intolerance (ENFI) is high in patients after gastric cancer resection due to the characteristics of surgical traumatic stress and changes in the physiological structure of the digestive tract, and the current evaluation of ENFI mostly depends on the symptoms and complaints of patients , which is lagging and subjective. Accurate and objective prediction of the risk of early ENFI is critical to guide clinical enteral nutrition practice.This study included 470 patients who underwent radical gastric cancer surgery at the department of gastric surgery of a tertiary hospital in Nanjing, Jiangsu Province, between November 2021 and October 2022. The patients were divided into a training set (n=329) and a validation set (n=141) in a 7:3 ratio. The predictors were first screened through Lasso regression. Subsequently, multifactorial logistic regression analysis was used to establish a model for predicting patients' early ENFI column charts . Internal and external validation of the model were performed on the training set and validation set data, respectively, including plotting the area under the curve (AUC) of the receiver operating characteristic (ROC) curve and calibration curves to assess the differentiation and calibration of the prediction model. The incidence of early ENFI in postoperative patients with gastric cancer was 44.68% in the training set and 43.97% in the validation set. The final predictors entered into the model were enteral nutrition solution type (OR1=1.31/OR2=7.23), preoperative enteral nutrition pre-adaptation technique (OR=0.29), surgical approach (OR=2.21),preoperative Profile of Mood State-Short Form score (OR=5.07), and intra-abdominal pressure (OR=6.79). In the internal validation, the AUC was 0.836, the 95% CI ranged from 0.792 to 0.879, the Hosmer-Lemeshow test showed X2 =4.368 and P=0.737, the sensitivity was 0.775, and the specificity was 0.741. In the external validation, the AUC was 0.853, the 95% CI ranged from 0.788 to 0.919, the Hosmer-Lemeshow test showed X2 =13.740 and P=0.089, the sensitivity was 0.785, and the specificity was 0.823.The Nomogram model of early ENFI in postoperative patients with gastric cancer, had good predictive efficacy and may serve as a reference for healthcare professionals to identify high-risk patients with early ENFI after gastrectomy.

    Keywords: gastric cancer, Enteral Nutrition, Feeding intolerance, predictive model, LASSO regression

    Received: 13 Aug 2024; Accepted: 05 Nov 2024.

    Copyright: © 2024 Xu, Pei, Zhang, Hu, Zhu, Yan, Guan, Chen and Xu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Dandan Pei, Department of Gastrointestinal Surgery, Nanjing Drum Tower Hospital, Nanjing, China
    Yin Zhang, Nanjing Drum Tower Hospital, Nanjing, 210008, Jiangsu Province, China
    Huanhuan Zhu, Department of Gastrointestinal Surgery, Nanjing Drum Tower Hospital, Nanjing, China
    Hui Yan, Department of Gastrointestinal Surgery, Nanjing Drum Tower Hospital, Nanjing, China
    Wenxian Guan, Department of Gastrointestinal Surgery, Nanjing Drum Tower Hospital, Nanjing, China
    Li Chen, Department of Gastrointestinal Surgery, Nanjing Drum Tower Hospital, Nanjing, China
    Meiling Xu, Department of Gastrointestinal Surgery, Nanjing Drum Tower Hospital, Nanjing, China

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