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影响白细胞计数高的急性髓细胞白血病患者生存的因素。

Factors affecting survival of patients with acute myelocytic leukemia presenting with high wbc counts.

作者信息

Vaughan W P, Kimball A W, Karp J E, Dragon L H, Burke P J

出版信息

Cancer Treat Rep. 1981 Nov-Dec;65(11-12):1007-13.

PMID:6945910
Abstract

Eighteen patients referred to The Johns Hopkins Oncology Center for treatment of acute myelocytic leukemia during a 2-year period had pretreatment wbc counts greater than 50,000/microliter. Despite immediate admission, aggressive supportive care, and rapid institution of chemotherapy, six patients died from complications of the high wbc count at presentation. The patients who died had significantly higher initial wbc counts, lower platelet counts, and lower arterial oxygen saturation; they were older, more likely to be female, and more likely to have abnormal serum urea nitrogen than the 12 patients who survived. Five of the six patients who died had experienced a delay of greater than 48 hours from diagnosis to referral, and only one of the 12 patients who survived was not promptly referred for treatment at the time of diagnosis (P = 0.004). A mathematical model, the logit of the fraction of the initial wbc count versus the logarithm of time after starting therapy, was used to describe the response of the wbc count to chemotherapy. This logit analysis reduced the data for individual patients to a linear function, permitting statistical description of the population as a whole. This statistical description makes possible the comparison of different approaches to lowering the wbc count in such patients and the correlation of rate of response of wbc count with the probability of achieving remission and with duration of remission.

摘要

在两年期间,18名因急性髓细胞白血病转诊至约翰霍普金斯肿瘤中心接受治疗的患者,其治疗前白细胞计数超过50,000/微升。尽管患者立即入院、接受积极的支持治疗并迅速开始化疗,但仍有6名患者在就诊时因高白细胞计数的并发症死亡。死亡患者的初始白细胞计数显著更高、血小板计数更低、动脉血氧饱和度更低;与12名存活患者相比,他们年龄更大,更可能为女性,血清尿素氮异常的可能性也更大。6名死亡患者中有5名从诊断到转诊的时间延迟超过48小时,而12名存活患者中只有1名在诊断时未及时转诊接受治疗(P = 0.004)。使用一个数学模型,即初始白细胞计数的分数的对数几率与开始治疗后时间的对数,来描述白细胞计数对化疗的反应。这种对数几率分析将个体患者的数据简化为一个线性函数,从而能够对总体人群进行统计学描述。这种统计学描述使得比较降低此类患者白细胞计数的不同方法以及白细胞计数的反应率与达到缓解的概率和缓解持续时间之间的相关性成为可能。

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