Comprehensive complication index as a prognostic factor in minimally invasive esophagectomy for esophageal squamous cell carcinoma

医学 食管切除术 并发症 回顾性队列研究 内科学 外科肿瘤学 比例危险模型 接收机工作特性 食管鳞状细胞癌 淋巴结 多元分析 肿瘤科 外科
作者
Takuya Kudo,Taro Oshikiri,Hironobu Goto,Hitoshi Harada,Naoki Urakawa,Hiroshi Hasegawa,Shingo Kanaji,Kimihiro Yamashita,Takeru Matsuda,Yoshihiro Kakeji
出处
期刊:Esophagus [Springer Science+Business Media]
标识
DOI:10.1007/s10388-022-00911-y
摘要

BackgroundPostoperative complications affect long-term prognosis in patients with esophageal squamous cell carcinoma (ESCC). Although a comprehensive estimator can predict long-term prognosis, the Clavien–Dindo classification system, a widely used approach to evaluate complications, assesses each complication individually. We aimed to clarify the utility of the comprehensive complication index (CCI) on predicting the overall survival (OS) of patients with ESCC following minimally invasive esophagectomy (MIE).MethodsThis was a retrospective study of patients undergoing MIE for ESCC in the prone position between January 2011 and December 2018. Multivariate analyses using the Cox proportional hazards model were performed to determine independent risk factors for OS.ResultsThe study cohort included 229 patients who were categorized into patients with CCI values of ≥ 33.7 (CCI high) and < 33.7 (CCI low) by receiver-operating characteristic (ROC) curve analysis. There were no significant differences between the two groups according to clinicopathological factors, such as sex, age, tumor location, tumor depth, lymph node metastasis, and neoadjuvant chemotherapy. The intraoperative transfusion rate in the CCI high group was significantly higher than in the CCI low group. The 5 year OS rate was significantly lower in the CCI high group than in the CCI low group (49.5% vs. 65.7%, p = 0.030). By multivariate analyses, age, tumor depth, lymph node metastasis, and the CCI were independent predictors of OS.ConclusionsComprehensive assessment of postoperative complications using the CCI was useful in predicting OS of patients undergoing MIE for the ESCC.
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