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中国的机器人外科学杂志 | ISSN 2096-7721 | CN 10-1650/R

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

作者:姬雨行,曹雄,苏嘉诚,韩彪

Vol. 6 No. 4 Apr. 2025 DOI: 10.12180/j.issn.2096-7721.2025.04.026 发布日期:2025-05-09
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

作者简介:

目的:讨论术前控制营养状态(CONUT)评分对行达芬奇机器人辅助食管癌 Mckeown 术(RAME)后患者并发症的预 测价值。方法:回顾性分析 2019 年 3 月—2024 年 3 月于兰州大学第一医院行 RAME 的 203 例患者,依据 COUNT 评分将患 者分为高 CONUT 组(≥ 3 分,n=34)与低 CONUT 组(<3 分,n=169),对比两组患者的临床特征与术后并发症差异,采 用 Logistic 回归分析探讨影响患者术后并发症的因素。结果:高 CONUT 组患者术后总体并发症的发生率、吻合口狭窄、吻 合口瘘、胸腔积液、切口感染的发生率显著高于低 CONUT 组(P<0.05)。术前胆固醇计数、COUNT 评分为影响术后并发症 的可能危险因素,COUNT 评分≥ 3 分为预测 RAME 术后患者并发症的独立危险因素(P<0.05)。结论:COUNT 评分可作为 RAME 术后患者并发症发生的一个强有力的独立预测指标,有助于为患者提供精确且及时的个体化治疗和干预以改善预后。

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 lowCONUT 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.

稿件信息

基金项目:甘肃省科技创新人才计划(24YFWA011) 

Foundation Item: Science and Technology Innovation Talent Plan of Gansu Province(24YFWA011)  

引用格式:姬雨行,曹雄,苏嘉诚,等 . 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. 

Citation: JI Y X, CAO X, SU J C, et al. Prognostic value of CONUT score in predicting postoperative complications following robot-assisted  McKeown esophagectomy[J]. Chinese Journal of Robotic Surgery, 2025, 6(4): 660-666. 

通讯作者(Corresponding Author):韩彪 (HAN Biao),Email:hanbiao66@163.com

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