谷歌浏览器插件
订阅小程序
在清言上使用

Nutritional Support in Surgical Oncology: A Survey by SICO in Collaboration with the Intersociety Italian Working Group for Nutritional Support in Cancer Patients

Surgical oncology(2022)

引用 0|浏览3
暂无评分
摘要
PurposeNutritional support is a keystone component in perioperative care in patients undergoing oncological surgery with a direct impact on surgical outcomes. This study aimed to evaluate how nutritional support in the surgical setting is managed and applied in Italian hospitals.MethodsA national survey was designed by the Italian Society of Surgical Oncology (SICO) and disseminated in early 2021. The results were analyzed for the entire population and for comparing the following different subgroups: northern vs. southern regions; high-volume vs. low-volume centers; and junior vs. senior surgeons.ResultsOut of the 141 responses collected from all Italian regions, 43.2% of the participants worked in a surgical unit where nutritional status evaluations and interventions were not routinely practiced, although the key features (nutritional counseling, oral supplementation, enteral and parenteral nutrition) were available in 77.3% of the hospitals. Among the participating centers, the ERAS protocol was systematically applied in only 29.5% of cases, and in 25.5% of cases, most of the items were followed, although not systematically. Among the surgeons who practiced in compliance with the ERAS pathways, almost half of the participants declared that the protocol was applied only for low-risk patients.No significant differences were documented when comparing Italian regions, high-volume vs. low-volume institutions or junior vs. senior participants.ConclusionNutritional support in oncological surgery is frequently neglected in Italian hospitals, regardless of the geographic distribution and volumes of the institutions. A cultural change and an improvement in the availability of nutritional services are needed for widespread implementation.
更多
查看译文
关键词
Oncological surgery,Nutritional support,Malnutrition,ERAS
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要