Literature DB >> 27461634

Influencing factors and interventional strategies for early enteral nutrition after gastric carcinoma surgery.

Nian-Mei Li1, Fei Liu1, Feng-Ying Lv2, Qi-Wen Zhang1.   

Abstract

OBJECTIVE: The aim of this study is to investigate the factors influencing early enteral nutrition (EN) to develop guidelines after gastric carcinoma (GC) surgery, and to propose appropriate interventions.
MATERIALS AND METHODS: A total of 118 GC patients have administrated EN 24 h after surgery and were divided into standard-achieving and nonstandard-achieving groups based on meeting 60% of energy needs. The clinical data of these two groups were retrospectively analyzed and compared.
RESULTS: The intraoperative blood loss, proportion of those with body mass ≤60 kg, and those cases tolerating EN in the standard-achieving group were significantly greater than in the nonstandard-achieving group, and the differences were statistically significant (P < 0.05). Gender, age, operative time, catheter length, American Society of Anesthesiologists risk class, and postoperative exhaust time showed no statistically significant differences (P > 0.05). However, logistic regression analysis revealed that intraoperative blood loss, body mass, and EN tolerance were independent risk factors influencing achievement of standards for early postoperative EN in GC patients (P < 0.05).
CONCLUSIONS: Individual differences should be considered when performing EN, and individualized nutritional support should be provided to improve the standard-achieving rate.

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Year:  2016        PMID: 27461634     DOI: 10.4103/0973-1482.179179

Source DB:  PubMed          Journal:  J Cancer Res Ther        ISSN: 1998-4138            Impact factor:   1.805


  2 in total

1.  Effect of Hospital to Home nutrition management model on postoperative clinical outcomes of patients with laryngeal carcinoma.

Authors:  Guihua Song; Haizhen Liu
Journal:  Oncol Lett       Date:  2017-08-02       Impact factor: 2.967

2.  Expression profile of cytokines in gastric cancer patients using proteomic antibody microarray.

Authors:  Xiaoqiang Quan; Yi Ding; Ruo Feng; Xiaoyan Zhu; Qinxian Zhang
Journal:  Oncol Lett       Date:  2017-09-29       Impact factor: 2.967

  2 in total

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