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Albumin‐bilirubin grade‐based nomogram of the BCLC system for personalized prognostic prediction in hepatocellular carcinoma

机译:BCLC系统基于白蛋白-胆红素等级的列线图,用于肝细胞癌的个性化预后预测

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Abstract Background amp; Aims The prognostic accuracy of individual hepatocellular carcinoma (HCC) patient in each Barcelona Clinic Liver Cancer (BCLC) stage is unclear. We aimed to develop and validate an albumin‐bilirubin (ALBI) grade‐based nomogram of BCLC to estimate survival for individual HCC patient. Methods Between 2002 and 2016, 3690 patients with newly diagnosed HCC were prospectively enrolled and retrospectively analysed. Patients were randomly split into derivation and validation cohort by 1:1 ratio. Multivariate Cox proportional hazards model was used to generate the nomogram from tumour burden, ALBI grade and performance status (PS). The concordance index and calibration plot were determined to evaluate the performance of this nomogram. Results Beta coefficients from the Cox model were used to assign nomogram points to different degrees of tumour burden, ALBI grade and PS. The scores of the nomogram ranged from 0 to 24, and were used to predict 3‐ and 5‐year patient survival. The concordance index of this nomogram was 0.77 (95 confidence interval CI: 0.71‐0.81) in the derivation cohort and 0.76 (95 CI: 0.71‐0.81) in the validation cohort. The calibration plots to predict both 3‐ and 5‐year survival rate well matched with the 45‐degree ideal line for both cohorts, except for ALBI‐based BCLC stage 0 in the validation cohort. Conclusions The proposed ALBI‐based nomogram of BCLC system is a simple and feasible strategy in the precision medicine era. Our data indicate it is a straightforward and user‐friendly prognostic tool to estimate the survival of individual HCC patient except for very early stage patients.
机译:摘要 背景和目的 巴塞罗那诊所肝癌(BCLC)每个阶段的个体肝细胞癌(HCC)患者的预后准确性尚不清楚。我们旨在开发和验证基于白蛋白-胆红素 (ALBI) 等级的 BCLC 列线图,以估计个体 HCC 患者的生存率。方法 前瞻性入组2002—2016年3690例新诊断HCC患者,回顾性分析。患者按 1:1 的比例随机分为推导组和验证组。采用多变量Cox比例风险模型,根据肿瘤负荷、ALBI分级和体能状态(PS)生成列线图。确定一致性指数和校准图以评估该列线图的性能。结果 采用Cox模型的Beta系数对不同程度的肿瘤负荷、ALBI分级和PS进行列线图点分配。列线图的评分范围为 0 至 24,用于预测患者 3 年和 5 年生存率。该列线图的一致性指数在推导队列中为0.77(95%置信区间[CI]:0.71-0.81),在验证队列中为0.76(95%CI:0.71-0.81)。预测 3 年和 5 年生存率的校准图与两个队列的 45 度理想线非常匹配,但验证队列中基于 ALBI 的 BCLC 阶段 0 除外。结论 所提出的基于ALBI的BCLC系统列线图是精准医疗时代一种简单可行的策略。我们的数据表明,它是一种简单易用的预后工具,可以估计个体HCC患者的生存率,但非常早期的患者除外。

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