Oncotarget

Research Papers:

Construction of a model predicting the risk of tube feeding intolerance after gastrectomy for gastric cancer based on 225 cases from a single Chinese center

Wu Xiaoyong, Li Xuzhao, Yu Deliang, Yu Pengfei, Hang Zhenning, Bai Bin, Li Zhengyan, Pang Fangning, Wang Shiqi _ and Zhao Qingchuan

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Oncotarget. 2017; 8:99940-99949. https://doi.org/10.18632/oncotarget.21966

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Abstract

Wu Xiaoyong1,2,*, Li Xuzhao1,*, Yu Deliang1,*, Yu Pengfei1,*, Hang Zhenning1, Bai Bin1, Li Zhengyan1, Pang Fangning1, Wang Shiqi1 and Zhao Qingchuan1

1Division of Digestive Surgery, Xijing Hospital of Digestive Diseases, Fourth Military Medical University, 710032, Xi’an, Shaanxi, China

2Department of Hepatobiliary Surgery, Shanxi Provincial People's Hospital, 030012, Taiyuan, Shanxi, China

*These authors contributed equally to this work

Correspondence to:

Wang Shiqi, email: [email protected]

Zhao Qingchuan, email: [email protected]

Keywords: tube feeding intolerance, gastric cancer, gastrectomy, risk facts, predictive model

Received: July 07, 2017     Accepted: September 20, 2017     Published: October 23, 2017

ABSTRACT

Identifying patients at high risk of tube feeding intolerance (TFI) after gastric cancer surgery may prevent the occurrence of TFI; however, a predictive model is lacking. We therefore analyzed the incidence of TFI and its associated risk factors after gastric cancer surgery in 225 gastric cancer patients divided into without-TFI (n = 114) and with-TFI (n = 111) groups. A total of 49.3% of patients experienced TFI after gastric cancer. Multivariate analysis identified a history of functional constipation (FC), a preoperative American Society of Anesthesiologists (ASA) score of III, a high pain score at 6-hour postoperation, and a high white blood cell (WBC) count on the first day after surgery as independent risk factors for TFI. The area under the curve (AUC) was 0.756, with an optimal cut-off value of 0.5410. In order to identify patients at high risk of TFI after gastric cancer surgery, we constructed a predictive nomogram model based on the selected independent risk factors to indicate the probability of developing TFI. Use of our predictive nomogram model in screening, if a probability > 0.5410, indicated a high-risk patients would with a 70.1% likelihood of developing TFI. These high-risk individuals should take measures to prevent TFI before feeding with enteral nutrition.


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