| 98-方案诊治儿童急性淋巴细胞白血病疗效和预后因素分析 |
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| 引用本文： | 刘瑞海,宋亮,刘华林,孙立荣,梁卉.98-方案诊治儿童急性淋巴细胞白血病疗效和预后因素分析[J].临床儿科杂志,2010,28(5). |
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| 作者姓名： | 刘瑞海 宋亮 刘华林 孙立荣 梁卉 |
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| 作者单位： | 1. 青岛市妇女儿童医疗保健中心内二科,山东青岛,266011
2. 青岛大学医学院附属医院小儿血液科,山东青岛,266003 |
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| 摘 要： | 目的探讨98-方案诊治儿童急性淋巴细胞白血病(ALL)的疗效和预后因素,以便进一步提高儿童ALL无事生存率(EFS)。方法回顾性分析1998年10月—2003年7月83例初诊儿童ALL临床资料,采用Kaplan Meier法评估各因素对患儿5年无事生存率(5-year EFS)的影响,组间患儿5-year EFS差异比较采用Log-Rank检验,COX比例风险回归模型分析各变量的独立预后价值。结果83例儿童ALL完全缓解(CR)率为96.4%,总体5-year EFS为(62.0±6.0)%。多因素分析表明泼尼松诱导试验不良是预后不良的独立因素,其相对危险度(RR)为1.577;而治疗顺从是预后良好的独立因素,其RR为0.443。泼尼松诱导试验高度敏感对预后不良预测的敏感度和特异度分别为67.9%和76.7%,泼尼松诱导试验高度敏感+敏感对预后不良预测的敏感度和特异度分别为94.3%和33.3%。结论采用98-方案治疗儿童ALL疗效满意,泼尼松诱导试验不良是预后不良的独立因素,泼尼松诱导试验高度敏感对预后不良预测的敏感度和特异度都比较高,治疗顺从是预后良好的重要因素。
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| 关 键 词： | 儿童 急性淋巴细胞白血病 无事生存 COX比例风险回归模型 |
Effectiveness and prognostic factors of childhood acute lymphoblastic leukemia treated with 98-protocol |
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| LIU Rui-hai,SONG Liang,LIU Hua-lin,Sun Li-rong,LIANG Hui.Effectiveness and prognostic factors of childhood acute lymphoblastic leukemia treated with 98-protocol[J].The Journal of Clinical Pediatrics,2010,28(5). |
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| Authors: | LIU Rui-hai SONG Liang LIU Hua-lin Sun Li-rong LIANG Hui |
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| Institution: | 1.Second Department of Internal Medicine/a>;Qingdao Medical Center for Women and Children/a>;Qingdao 266011/a>;Shandong/a>;China/a>;2.Department of Pediatric Hematology/a>;Affiliated Hospital of Qingdao University Medical College/a>;Qingdao 266003/a>;China |
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| Abstract: | Objective To evaluate the therapeutic effectiveness and prognostic factors of childhood acute lymphoblastic leukemia (ALL) diagnosed and treated with 98-protocol. To improve event-free survival of childhood ALL by summarizing the clinical experience. Methods Eighty-three (83) children diagnosed as ALL from October 1998 to July 2003 were analyzed retrospectively. Factors influencing 5-year EFS were evaluated by Kaplan-Meier analysis and the differences of the 5-year EFS among groups were compared with log-ra... |
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| Keywords: | children acute lymphocytic leukemia event-free survival COX proportional hazardsregression model |
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