预测巴塞罗那临床肝癌(BCLC) B/C期肝细胞癌患者肝切除术后复发引起的早期癌症相关死亡的Nomogram:一项多中心研究

IF 2.5 3区 医学 Q2 GASTROENTEROLOGY & HEPATOLOGY
Zhan-Cheng Qiu, Hao-Zheng Cai, You-Wei Wu, Jun-Long Dai, Wei-Li Qi, Chu-Wen Chen, Yue-Qing Xu, Chuan Li, Tian-Fu Wen
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引用次数: 0

摘要

背景:对于巴塞罗那临床肝癌(BCLC) B/C期的肝细胞癌(HCC)患者,早期识别肝切除术后复发导致的早期癌症相关死亡(1年内,ECRD)的风险对于外科医生做出临床决策很重要。我们的研究旨在建立一个nomogram来预测BCLC B/C期HCC患者复发后的ECRD。方法:2012年1月至2018年12月,来自4个医疗中心的672例BCLC B/C期HCC患者纳入我们的研究。患者按6:4的比例随机分为训练组(n = 404)和验证组(n = 268)。采用最小绝对收缩和选择算子(LASSO) logistic回归模型建立nomogram模型。结果:在我们的LASSO-logistic回归模型中,三个变量与复发性ECRD独立相关:甲胎蛋白-肿瘤负荷评分(ATS评分,奇数比[OR]: 1.12, p = 0.001), BCLC分期(OR: 4.39, p)。结论:我们建立了一个nomogram,对于预测BCLC B/C期HCC患者复发性ECRD具有极好的预测能力,这可能有助于外科医生避免无效的肝切除术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nomogram for predicting early cancer-related death due to recurrence after liver resection in hepatocellular carcinoma patients with Barcelona Clinic Liver Cancer (BCLC) stage B/C: a multicenter study.

Background: Early identification of the risk of early cancer-related death (within one year, ECRD) due to recurrence after liver resection for hepatocellular carcinoma (HCC) patients with Barcelona Clinic Liver Cancer (BCLC) stage B/C is important for surgeons to make clinical decisions. Our study aimed to establish a nomogram to predict the ECRD due to recurrence for HCC patients with BCLC stage B/C.

Methods: A total of 672 HCC patients with BCLC stages B/C from four medical centers between January 2012 and December 2018 were included in our study. The patients were randomly divided into a training cohort (n = 404) and a validation cohort (n = 268) at a ratio of 6:4. The least absolute shrinkage and selection operator (LASSO) logistic regression model was used to establish a nomogram model.

Results: In our LASSO-logistic regression model, three variables were independently associated with the ECRD due to recurrence: the alpha-fetoprotein-tumor burden score (ATS score, Odd Ratio [OR]: 1.12, p = 0.001), BCLC stage (OR: 4.39, p < 0.001) and the aspartate transaminase (AST) to alanine transaminase (ALT) ratio (AAR, OR: 1.49, p = 0.027) and we established the nomogram model based on these three variables. The nomogram model showed superior predictive ability in the training cohort (Area under the curve [AUC]: 0.754, 95%CI: 0.703-0.804) and the validation cohort (AUC: 0.741, 95%CI: 0.660-0.823). Compared with the ATS score, BCLC stage and AAR, the nomogram both had better predictive ability in both the training cohort (ATS score, AUC: 0.699, 95%CI: 0.646-0.752, p = 0.010; BCLC stage, AUC: AUC: 0.684, 95%CI: 0.637-0.732, p < 0.001; AAR, AUC: 0.593, 95%CI: 0.522-0.663, p < 0.001) and the validation cohort (ATS score, AUC: 0.659, 95%CI: 0.577-0.740, p = 0.002; BCLC stage, AUC: 0.688, 95%CI: 0.622-0.753, p = 0.009; AAR, AUC: 0.540, 95%CI: 0.436-0.645, p < 0.001).

Conclusions: We established a nomogram that had excellent predictive power for predicting the ECRD due to recurrence in HCC patients with BCLC stage B/C, which might help surgeons to avoid futile liver resection.

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来源期刊
BMC Gastroenterology
BMC Gastroenterology 医学-胃肠肝病学
CiteScore
4.20
自引率
0.00%
发文量
465
审稿时长
6 months
期刊介绍: BMC Gastroenterology is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of gastrointestinal and hepatobiliary disorders, as well as related molecular genetics, pathophysiology, and epidemiology.
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