PDF(Pubmed)
Abstract：
UNASSIGNED: Hepatocellular carcinoma (HCC) patients with compensated cirrhosis typically face a high prevalence and unfavorable prognosis. However, there is currently a deficiency in prediction models to anticipate the prognosis of these patients. Therefore, our study included the Gamma-glutamyl transpeptidase-to-platelet ratio (GPR) in analysis and aimed to develop a nomogram for HCC patients with compensated cirrhosis after local ablation.
UNASSIGNED: Enrolling 669 patients who underwent local ablation at Beijing You\'an Hospital during the period from January 1, 2014, to December 31, 2022, this study focused on individuals with compensated cirrhotic HCC. In a ratio of 7:3, patients were allocated to the training cohort (n=468) and the validation cohort (n=201). Lasso-Cox regression was employed to identify independent prognostic factors for overall survival (OS). Subsequently, a nomogram was constructed using these factors and was validated through receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA).
UNASSIGNED: GPR, age, and hemoglobin were identified by Lasso-Cox regression as independent prognostic factors of the nomogram. The area under the ROC curves (AUCs) for 3-, 5-, and 8-year OS (0.701, 0.755, and 0.768 for the training cohort; 0.684, 0.707, and 0.778 for the validation cohort), and C-indices (0.695 for training cohort; 0.679 for validation cohort) exhibited the excellent predictive ability of the nomogram. Calibration curves and DCA curves indicated favorable calibration performance and clinical utility. Patients were further stratified into two risk groups according to the median nomogram score. There existed an obvious distinction between the two groups both in the training cohort and validation cohort.
UNASSIGNED: In summary, this research established and validated a novel nomogram to predict OS, which had good predictive power for HCC patients with compensated cirrhosis after local ablation.
UNASSIGNED: Enrolling 669 patients who underwent local ablation at Beijing You\'an Hospital during the period from January 1, 2014, to December 31, 2022, this study focused on individuals with compensated cirrhotic HCC. In a ratio of 7:3, patients were allocated to the training cohort (n=468) and the validation cohort (n=201). Lasso-Cox regression was employed to identify independent prognostic factors for overall survival (OS). Subsequently, a nomogram was constructed using these factors and was validated through receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA).
UNASSIGNED: GPR, age, and hemoglobin were identified by Lasso-Cox regression as independent prognostic factors of the nomogram. The area under the ROC curves (AUCs) for 3-, 5-, and 8-year OS (0.701, 0.755, and 0.768 for the training cohort; 0.684, 0.707, and 0.778 for the validation cohort), and C-indices (0.695 for training cohort; 0.679 for validation cohort) exhibited the excellent predictive ability of the nomogram. Calibration curves and DCA curves indicated favorable calibration performance and clinical utility. Patients were further stratified into two risk groups according to the median nomogram score. There existed an obvious distinction between the two groups both in the training cohort and validation cohort.
UNASSIGNED: In summary, this research established and validated a novel nomogram to predict OS, which had good predictive power for HCC patients with compensated cirrhosis after local ablation.
摘要：
■具有代偿性肝硬化的肝细胞癌（HCC）患者通常面临高患病率和不良预后。然而,目前在预测这些患者预后的预测模型方面存在不足.因此,我们的研究纳入了γ-谷氨酰转肽酶与血小板比值(GPR)的分析,旨在为局部消融后代偿性肝硬化的HCC患者建立列线图.
在2014年1月1日至2022年12月31日期间，在北京佑安医院进行局部消融的669例患者，本研究集中于代偿性肝硬化HCC患者。以7:3的比例,患者被分配到训练队列(n=468)和验证队列(n=201)。Lasso-Cox回归用于确定总生存期（OS）的独立预后因素。随后，使用这些因素构建列线图，并通过受试者工作特征(ROC)曲线进行验证，校正曲线,和决策曲线分析(DCA)。
■GPR，年龄,通过Lasso-Cox回归将血红蛋白和血红蛋白确定为列线图的独立预后因素。3-的ROC曲线下面积（AUC），5-,和8年OS（培训队列为0.701、0.755和0.768；验证队列为0.684、0.707和0.778），和C指数(0.695为训练队列;0.679为验证队列)显示出列线图的出色预测能力。校准曲线和DCA曲线表明良好的校准性能和临床实用性。根据中位列线图评分将患者进一步分层为两个风险组。两组在训练队列和验证队列中都存在明显的区别。
■总之，这项研究建立并验证了一种新的列线图来预测操作系统，对于局部消融后代偿性肝硬化的HCC患者具有良好的预测能力。
在2014年1月1日至2022年12月31日期间，在北京佑安医院进行局部消融的669例患者，本研究集中于代偿性肝硬化HCC患者。以7:3的比例,患者被分配到训练队列(n=468)和验证队列(n=201)。Lasso-Cox回归用于确定总生存期（OS）的独立预后因素。随后，使用这些因素构建列线图，并通过受试者工作特征(ROC)曲线进行验证，校正曲线,和决策曲线分析(DCA)。
■GPR，年龄,通过Lasso-Cox回归将血红蛋白和血红蛋白确定为列线图的独立预后因素。3-的ROC曲线下面积（AUC），5-,和8年OS（培训队列为0.701、0.755和0.768；验证队列为0.684、0.707和0.778），和C指数(0.695为训练队列;0.679为验证队列)显示出列线图的出色预测能力。校准曲线和DCA曲线表明良好的校准性能和临床实用性。根据中位列线图评分将患者进一步分层为两个风险组。两组在训练队列和验证队列中都存在明显的区别。
■总之，这项研究建立并验证了一种新的列线图来预测操作系统，对于局部消融后代偿性肝硬化的HCC患者具有良好的预测能力。
