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复杂性分类与传统主次分类在预测肝细胞癌肝切除难度方面的比较性能

Comparative Performance of the Complexity Classification and the Conventional Major/Minor Classification for Predicting the Difficulty of Liver Resection for Hepatocellular Carcinoma.

作者信息

Jang Jae Seong, Cho Jai Young, Ahn Soyeon, Han Ho-Seong, Yoon Yoo-Seok, Choi YoungRok, Kwon Seong Uk, Kim Sungho, Guro Hanisah

机构信息

Department of Surgery, Seoul National University Bundang Hospital, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea.

Medical Research Collaborating Center, Seoul National University Bundang Hospital, Bundang-gu, Seongnam-si, Gyeonggi-do, Republic of Korea.

出版信息

Ann Surg. 2018 Jan;267(1):18-23. doi: 10.1097/SLA.0000000000002292.

Abstract

OBJECTIVE

To compare performances for predicting surgical difficulty and postoperative complications.

BACKGROUND

An expert panel recently proposed a complexity classification for liver resection with 3 categories of complexity (low, medium, or high). We compared this new classification with the conventional major/minor classification.

METHODS

We retrospectively reviewed 469 hepatocellular carcinoma patients who underwent liver resection between 1 January 1, 2004 and June 30, 2015. We used receiver-operating characteristic curve analysis to compare the performances of both classifications for predicting perioperative outcomes.

RESULTS

Both classifications effectively differentiated subgroups of patients in terms of their intraoperative findings and short-term outcomes, including blood loss, transfusion rate, operation time, and postoperative hospital stay (all P < 0.05). The ability to predict complications was not significantly different between the major/minor classification and the complexity classification [area under the curve (AUC) 0.625 vs 0.617, respectively; P= 0.754). However, the complexity classification showed stronger correlations with blood loss (AUC 0.690 vs 0.617, respectively; P = 0.001) and operation time (AUC 0.727 vs 0.619, respectively; P < 0.001) compared with the major/minor classification. To check heterogeneity, the minor resection group was further divided into low (n = 184), medium (n = 149), and high complexity (n = 13) groups. Operation time and blood loss were significantly different among these 3 subgroups of patients.

CONCLUSIONS

The complexity classification outperformed the major/minor classification for predicting the surgical difficulty of liver resection.

摘要

目的

比较预测手术难度和术后并发症的性能。

背景

一个专家小组最近提出了一种肝切除术复杂性分类,分为3类复杂性(低、中或高)。我们将这种新分类与传统的大/小分类进行了比较。

方法

我们回顾性分析了2004年1月1日至2015年6月30日期间接受肝切除术的469例肝细胞癌患者。我们使用受试者操作特征曲线分析来比较两种分类预测围手术期结局的性能。

结果

两种分类在术中发现和短期结局方面均能有效区分患者亚组,包括失血量、输血率、手术时间和术后住院时间(所有P<0.05)。大/小分类和复杂性分类在预测并发症方面的能力没有显著差异[曲线下面积(AUC)分别为0.625和0.617;P=0.754]。然而,与大/小分类相比,复杂性分类与失血量(AUC分别为0.690和0.617;P = 0.001)和手术时间(AUC分别为0.727和0.619;P<0.001)的相关性更强。为检查异质性,小切除组进一步分为低(n = 184)、中(n = 149)和高复杂性(n = 13)组。这3个患者亚组的手术时间和失血量有显著差异。

结论

在预测肝切除术的手术难度方面,复杂性分类优于大/小分类。

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