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首页> 外文期刊>ANZ journal of surgery >Different clinical risk scores for prediction of early mortality after liver resection for hepatocellular carcinoma: which is the best?
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Different clinical risk scores for prediction of early mortality after liver resection for hepatocellular carcinoma: which is the best?

机译:不同临床风险评分用于预测肝切除肝癌肝切除后的早期死亡率:哪个是最好的?

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Background Prediction of early mortality after hepatectomies for hepatocellular carcinoma is essential to identify high‐risk patients and to decrease the operative mortality rate. Several post‐operative clinical risk scores were developed recently to predict mortality post‐hepatectomy; however, which one is the best remains undefined. Therefore, the aim of this study was to evaluate the performance of the different post‐operative clinical risk scores in predicting early mortality after hepatectomies. Methods A total of 240 patients who underwent liver resection for hepatocellular carcinoma at our hospital between June 2011 and July 2016 were retrospectively reviewed. Post‐operative clinical risk scores including 50–50 criteria, peak bilirubin 7 mg/dL, model for end‐stage liver disease (MELD), risk assessment for early mortality and Hyder scores were evaluated for their performance in predicting early mortality after hepatic resection using the receiver operating characteristic (ROC) curve. Results The 90‐day mortality rate after hepatic resection was around 2.5%. The 50–50 criteria and peak bilirubin 7 mg/dL were weak predictors of early mortality with low sensitivity (area under the ROC curve: 0.65, 0.66, respectively), whereas, Hyder, risk assessment for early mortality, and post‐operative MELD were good predictors of early mortality (area under the ROC curve: 0.89, 0.91 and 0.88, respectively). Moreover, MELD score on post‐operative day 3 was an independent risk factor for 90‐day mortality with an odds ratio of 1.4 (95% confidence interval 1.06–1.81, P = 0.02). Conclusions Post‐operative clinical risk scores, especially MELD, were capable of predicting early mortality after liver resection and should be used to identify high‐risk patients and provide them with more intensive medical care.
机译:背景技术对肝细胞癌肝切除术后早期死亡率的背景预测对于鉴定高危患者并降低手术死亡率至关重要。最近开发了几种后术后临床风险评分,以预测肝切除术后死亡率;但是,哪一个是最好的遗骸未定义。因此,本研究的目的是评估不同术后临床风险评分的性能在肝切除术后预测早期死亡率。方法回顾性审查了2011年6月至2016年7月在2011年6月至7月期间接受肝细胞癌肝切除肝切除肝切除的240例患者。术后临床风险评分包括50-50标准,峰胆红素& 7 mg / dl,末期肝病(MELD)的模型,对早期死亡率和厕所进行的风险评估进行了评估,以便在预测早期死亡率之前进行性能使用接收器操作特征(ROC)曲线的肝切除。结果肝切除后90天的死亡率约为2.5%。 50-50个标准和峰胆红素& 7 mg / dl的早期死亡率弱预测因子,具有低灵敏度(ROC曲线下的面积分别为0.65,0.66),而早期死亡率,早期死亡率的风险评估,以及手术融合是早期死亡率的良好预测因子(ROC曲线下的面积:0.89,0.91和0.88分别)。此外,操作后第3天的混合评分是90天死亡率的独立风险因子,其比率为1.4(95%置信区间1.06-1.81,P = 0.02)。结论术后临床风险评分,特别是融合,能够在肝切除后预测早期死亡率,应用于识别高危患者,并为他们提供更密集的医疗保健。

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