Clinical and Experimental Onco-Hematology Unit, IRCCS, Centro di Riferimento Oncologico, Aviano (PN), Italy.
Hematol Oncol. 2011 Jun;29(2):91-9. doi: 10.1002/hon.959. Epub 2010 Jul 28.
We wish to validate in a multicentric CLL population a nomogram and a risk score recently developed to predict overall survival (OS). Complete records from 1037 CLL patients were retrospectively collected to estimate OS and time to treatment (TTT). Cox models were used to test the independence of age, β-2-microglobulin, absolute lymphocyte count (ALC), sex, Rai stage and number of involved lymph node regions (LNR). Accuracy of prognostic models was tested with the concordance index (c-index). Median follow-up was 5.5 years, with 151 deaths and 475 treated patients. Median OS was not reached (65% survival rate at 13.9 years), median TTT was 6 years. We confirmed the ability of the prognostic score to predict OS and TTT in three risk groups, with results comparable with those reported in the original report. However, ALC and Rai stage were not independent predictors, whereas the Binet staging system, which incorporates LNR variable, showed independent predictive power; furthermore, both 5- and 10-year OS estimates from nomogram were lower compared to real data. When separately analysed, the impact of therapy on OS was not selected as independent predictor of OS in our series. According to these results, we proposed a simpler four-variable model (age, sex, Binet staging, β-2-microglobulin) and a new nomogram. This model had a c-index of 0.78 versus 0.76 of the six-variable model (p = 0.043), showing better predictive accuracy. External validation and refinement are needed on independent data sets, possibly from cancer registry patients' series.
我们希望在多中心 CLL 人群中验证最近开发的用于预测总生存期 (OS) 的列线图和风险评分。回顾性收集了 1037 例 CLL 患者的完整记录,以估计 OS 和治疗时间 (TTT)。Cox 模型用于检验年龄、β-2-微球蛋白、绝对淋巴细胞计数 (ALC)、性别、Rai 分期和受累淋巴结区域数 (LNR) 的独立性。使用一致性指数 (c-index) 检验预后模型的准确性。中位随访时间为 5.5 年,有 151 例死亡和 475 例治疗患者。中位 OS 未达到(13.9 年时 65%的生存率),中位 TTT 为 6 年。我们在三个风险组中证实了预后评分预测 OS 和 TTT 的能力,结果与原始报告中的结果相当。然而,ALC 和 Rai 分期不是独立的预测因素,而包含 LNR 变量的 Binet 分期系统显示出独立的预测能力;此外,列线图的 5 年和 10 年 OS 估计值均低于真实数据。单独分析时,我们研究系列中治疗对 OS 的影响未被选为 OS 的独立预测因素。根据这些结果,我们提出了一个更简单的四变量模型(年龄、性别、Binet 分期、β-2-微球蛋白)和一个新的列线图。该模型的 c-index 为 0.78,而六变量模型为 0.76(p=0.043),显示出更好的预测准确性。需要在独立数据集上进行外部验证和改进,可能来自癌症登记患者系列。