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控制营养状态评分在预测机器人辅助食管癌根治术后并发症中的应用

姬雨行 曹雄 苏嘉诚 韩彪

机器人外科学杂志(中英文)2025,Vol.6Issue(4):660-666,7.
机器人外科学杂志(中英文)2025,Vol.6Issue(4):660-666,7.DOI:10.12180/j.issn.2096-7721.2025.04.026

控制营养状态评分在预测机器人辅助食管癌根治术后并发症中的应用

Prognostic value of CONUT score in predicting postoperative complications following robot-assisted McKeown esophagectomy

姬雨行 1曹雄 1苏嘉诚 1韩彪1

作者信息

  • 1. 兰州大学第一临床学院 甘肃 兰州 730030||兰州大学第一医院胸外科·胸外科关键技术研发与应用专业甘肃省国际科研合作基地 甘肃 兰州 730030
  • 折叠

摘要

Abstract

Objective:To investigate the predictive value of the preoperative Controlling Nutritional Status(CONUT)score for postoperative complications in patients undergoing robot-assisted McKeown esophagectomy(RAME).Methods:A retrospective analysis was performed on 203 patients who underwent RAME at the First Hospital of Lanzhou University from March 2019 to March 2024.Patients were divided into the high-CONUT group(≥3 points,n=34)and the low-CONUT group(<3 points,n=169)based on preoperative CONUT scores.Clinical characteristics and postoperative complications were compared between the groups of patients.Logistic regression analysis was used to identify risk factors for complications.Results:The high-CONUT group showed significantly higher incidence of overall postoperative complications,anastomotic stricture,anastomotic leakage,pleural effusion,and surgical site infection compared to the low-CONUT group(P<0.05).Preoperative cholesterol levels and CONUT score were identified as potential risk factors for complications,with a CONUT score≥3 points serving as an independent predictor of postoperative complications for RAME(P<0.05).Conclusion:The CONUT score is a robust independent predictor of complications following RAME,enabling precise and timely individualized interventions to improve patient prognosis.

关键词

机器人辅助手术/控制营养状态评分/食管癌/并发症/预测价值

Key words

Robot-assisted Surgery/Controlled Nutritional Status Score/Esophageal Cancer/Postoperative Complication/Predictive Value

分类

临床医学

引用本文复制引用

姬雨行,曹雄,苏嘉诚,韩彪..控制营养状态评分在预测机器人辅助食管癌根治术后并发症中的应用[J].机器人外科学杂志(中英文),2025,6(4):660-666,7.

基金项目

甘肃省科技创新人才计划(24YFWA011)Science and Technology Innovation Talent Plan of Gansu Province(24YFWA011) (24YFWA011)

机器人外科学杂志(中英文)

2096-7721

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