预测 Binet a 期慢性淋巴细胞白血病的分期进展。

Salem H Alshemmari, Mazyad Almazyad, Ahmed Alsarraf, Anita Kunhikrishnan, Asha M Isaac, Andy Kaempf
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引用次数: 0

摘要

导言:慢性淋巴细胞白血病(CLL)的临床病程多变,随访和治疗策略缺乏共识,因此有必要建立一个预后模型,以便在诊断时识别高危患者:我们对 212 名确诊为 Binet A 期 CLL 患者的人口统计学和临床特征进行了回顾性分析,这些患者符合通过早期 CLL 国际预后评分(IPS-E)和替代 IPS-E (AIPS-E)进行风险分层的条件。我们评估了这些预后指数在我们年轻的中东队列(诊断时的中位年龄为 59 岁)中的适用性:在中位随访 3.5 年的研究期间,67 名患者(32%)在首次治疗时病情有所进展,确诊后 1 年和 3 年的累计治疗发生率分别为 13% 和 28%。69名患者(占136名已知值患者的51%)携带未突变的免疫球蛋白重链基因(IGHV),21名患者(10%)携带11q或17p缺失基因,其中11%缺乏FISH结果。在每个早期 CLL 预后指数中,被确定为疾病进展高风险的患者(在 124 例可评估 IPS-E 的患者中占 51%;在 109 例可评估 AIPS-E 的患者中占 42%)多于中风险和低风险患者。涉及 IPS-E 和 AIPS-E 组成部分的多变量模型显示,未突变的 IGHV 和升高的绝对淋巴细胞数是较早需要治疗的重要预测因素。两个预后评分对首次治疗时间都有区分作用(对数秩p < 0.001;IPS-E的c统计量为0.74,AIPS-E的c统计量为0.69):结论:尽管开始治疗的临床表现仍不明确,但 IPS-E 和 AIPS-E 是识别高危患者的重要工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting Stage Progression in Binet Stage a Chronic Lymphocytic Leukemia.

Introduction: The variable clinical course of chronic lymphocytic leukemia (CLL) and the lack of consensus on follow-up and treatment strategies have necessitated a prognostic model for identifying high-risk patients at the time of diagnosis.

Methods: We involved a retrospective analysis of demographic and clinical characteristics of 212 patients diagnosed with Binet stage A CLL and thus eligible for risk stratification by both the International Prognostic Score for Early-stage CLL (IPS-E) and the alternative IPS-E (AIPS-E). We evaluated the applicability of these prognostic indices in our young, Middle Eastern cohort (median age 59 at diagnosis).

Results: During the study period with a median follow-up of 3.5 years, 67 patients (32 %) experienced progression to first treatment and cumulative incidence of treatment was 13 % at 1 year and 28 % at 3 years after diagnosis. Sixty-nine (51 % of the 136 with a known value) patients harbored an unmutated immunoglobulin heavy chain gene (IGHV) and 21 (10 %) an 11q or 17p deletion with 11 % lacking FISH results. For each early-stage CLL prognostic index, more patients were identified as high-risk for disease progression (51 % of 124 patients evaluable for IPS-E; 42 % of 109 patients evaluable for AIPS-E) than intermediate-risk and low-risk. Multivariable models involving the IPS-E and AIPS-E components revealed that unmutated IGHV and elevated absolute lymphocyte count were significant predictors of earlier treatment requirement. Both prognostic scores were discriminative of time to first treatment (log-rank p < 0.001; c-statistics of 0.74 for IPS-E and 0.69 for AIPS-E).

Conclusion: Although clarity on clinical behavior with regard to initiation of treatment remains elusive, IPS-E and AIPS-E are valuable tools for identifying high-risk patients.

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