Sha Y Q, Shen H, Wu W, Xia Y, Miao Y, Cao L, Wang L, Fan L, Xu W, Li J Y, Zhu H Y
Department of Hematology, the First Affiliated Hospital of Nanjing Medical University, Jiangsu Province Hospital, Nanjing 210029, China Pukou CLL Center, Pukou Division of Jiangsu Province Hospital, Nanjing 211800, China.
Zhonghua Xue Ye Xue Za Zhi. 2021 Oct 14;42(10):834-839. doi: 10.3760/cma.j.issn.0253-2727.2021.10.007.
To compare the prognostic value of four prognostic models in predicting time to first treatment (TTFT) in patients with Binet A Chinese chronic lymphocytic leukemia (CLL) . This retrospective analysis included one hundred and ten patients with Binet A CLL, initially diagnosed in the First Affiliated Hospital of Nanjing Medical University (Pukou CLL center) from June 2009 to January 2020. Risk stratification was conducted according to IPS-E, CLL-IPI, CLL1-PM, and Barcelona-Brno prognostic models. Among 110 patients with Binet A CLL patients, the median age was 58 (25-84) years. The median follow-up time was 35 (4-189) months, and 57 (51.8%) patients met the indication for treatment due to symptomatic disease progression during follow-up. Log-rank analysis of nine variables was conducted involving age, Rai stage, absolute lymphocyte count (ALC) , lymph node size, lymphocyte doubling time (LDT) , β(2)-Microglobulin, IGHV status, TP53, and Del (11q) . Additionally, Rai Ⅰ-Ⅲ, ALC>15×10(9)/L, palpable lymph node size ≥1cm, β(2)-Microglobulin>3.5 mg/L, unmutated IGHV, TP53 mutation or deletion, and 11q deletion were independent risk factors of TTFT. Predictive value of each model was assessed by Harrel C-index and Akaike information criterion (AIC) with CLL1-PM (C-index=0.736, AIC=777) , followed by CLL-IPI (C-index=0.722, AIC=933) , IPS-E (C-index=0.683, AIC=1004) , and Barcelona-Brno prognostic model (C-index=0.663, AIC=986) . All four prognostic models effectively predicted TTFT. IPS-E might be an ideal model to guide clinical surveillance because of its easy accessibility and low expenses in routine clinical practice. Therefore, for patients receiving fluorescence in situ hybridization (FISH) and next-generation sequencing (NGS) examination at diagnosis, CLL-IPI or CLL1-PM could be applied to evaluate their prognosis more comprehensively.
比较四种预后模型对中国Binet A期慢性淋巴细胞白血病(CLL)患者首次治疗时间(TTFT)的预测价值。这项回顾性分析纳入了2009年6月至2020年1月在南京医科大学第一附属医院(浦口CLL中心)初诊的110例Binet A期CLL患者。根据IPS-E、CLL-IPI、CLL1-PM和巴塞罗那-布尔诺预后模型进行风险分层。在110例Binet A期CLL患者中,中位年龄为58(25 - 84)岁。中位随访时间为35(4 - 189)个月,57例(51.8%)患者在随访期间因症状性疾病进展符合治疗指征。对年龄、Rai分期、绝对淋巴细胞计数(ALC)、淋巴结大小、淋巴细胞倍增时间(LDT)、β2微球蛋白、IGHV状态、TP53和Del(11q)这9个变量进行对数秩分析。此外,RaiⅠ - Ⅲ期、ALC>15×10⁹/L、可触及淋巴结大小≥1cm、β2微球蛋白>3.5mg/L、IGHV未突变、TP53突变或缺失以及11q缺失是TTFT的独立危险因素。通过Harrel C指数和赤池信息准则(AIC)评估各模型的预测价值,CLL1-PM(C指数 = 0.736,AIC = 777)最佳,其次是CLL-IPI(C指数 = 0.722,AIC = 933)、IPS-E(C指数 = 0.683,AIC = 1004)和巴塞罗那-布尔诺预后模型(C指数 = 0.663,AIC = 986)。所有四种预后模型均能有效预测TTFT。IPS-E因其在常规临床实践中易于获取且费用低廉,可能是指导临床监测的理想模型。因此,对于诊断时接受荧光原位杂交(FISH)和下一代测序(NGS)检查的患者,CLL-IPI或CLL1-PM可用于更全面地评估其预后。