Truong Tony H, Beyene Joseph, Hitzler Johann, Abla Oussama, Maloney Anne Marie, Weitzman Sheila, Sung Lillian
Division of Hematology/Oncology, the Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada.
Cancer. 2007 Oct 15;110(8):1832-9. doi: 10.1002/cncr.22990.
Tumor lysis syndrome (TLS) is a well-recognized complication of acute lymphoblastic leukemia (ALL). The ability to predict children at differing risk of TLS would be an early step toward risk-based approaches. The objectives of the current study were 1) to describe the prevalence and predictors of TLS in childhood ALL and 2) to develop a sensitive prediction rule to identify patients at lower risk of TLS.
Health records of children aged </=18 years who were diagnosed with ALL between 1998 and 2004 were reviewed. TLS was defined by the presence of >/=2 laboratory abnormalities occurring in the time frame of interest. Predictors of TLS were determined using univariate and multiple logistic regression analyses.
Among 328 patients, 23% met criteria for TLS. Factors predictive of TLS were male sex (odds ratio [OR], 1.8; P = .041), age >/=10 years (OR, 4.5; P < .0001), splenomegaly (OR, 3.3; P < .0001), mediastinal mass (OR, 12.2; P < .0001), T-cell phenotype (OR, 8.2; P < .0001), central nervous system involvement (OR, 2.8; P = .026), lactate dehydrogenase >/=2000 U/L (OR, 7.6; P < .0001), and white blood count (WBC) >/=20 x 10(9)/L (OR, 4.7; P < .0001). Among variables that were available at presentation, multiple regression analysis identified age >/=10 years, splenomegaly, mediastinal mass, and initial WBC >/=20 x 10(9)/L as independent predictors of TLS. When all 4 of those predictors were absent at presentation (n = 114 patients), the negative predictive value of developing TLS was 97%, with a sensitivity of 95%.
Clinical and laboratory features at the time of presentation identified a group of children with ALL at low risk for TLS that may benefit from a risk-stratified approach directed at reduced TLS monitoring and prophylaxis.
肿瘤溶解综合征(TLS)是急性淋巴细胞白血病(ALL)一种公认的并发症。预测不同TLS风险的儿童的能力是迈向基于风险方法的早期步骤。本研究的目的是:1)描述儿童ALL中TLS的患病率及预测因素;2)制定一个敏感的预测规则以识别TLS低风险患者。
回顾了1998年至2004年间诊断为ALL的18岁及以下儿童的健康记录。TLS定义为在感兴趣的时间段内出现≥2项实验室异常。使用单因素和多因素逻辑回归分析确定TLS的预测因素。
在328例患者中,23%符合TLS标准。TLS的预测因素包括男性(比值比[OR],1.8;P = 0.041)、年龄≥10岁(OR,4.5;P < 0.0001)、脾肿大(OR,3.3;P < 0.0001)、纵隔肿块(OR,12.2;P < 0.0001)、T细胞表型(OR,8.2;P < 0.0001)、中枢神经系统受累(OR,2.8;P = 0.026)、乳酸脱氢酶≥2000 U/L(OR,7.6;P < 0.0001)以及白细胞计数(WBC)≥20×10⁹/L(OR,4.7;P < 0.0001)。在就诊时可获得的变量中,多因素回归分析确定年龄≥10岁、脾肿大、纵隔肿块以及初始WBC≥20×10⁹/L为TLS的独立预测因素。当就诊时所有这4个预测因素均不存在时(n = 114例患者),发生TLS的阴性预测值为97%,敏感性为95%。
就诊时的临床和实验室特征识别出一组ALL患儿TLS风险低,这些患儿可能受益于针对减少TLS监测和预防的风险分层方法。