Tsvetaeva N V, Zavadenko M A, Popov V Iu, Glasko E N, Gorodnicheva V F, Levina A A, Pochtar' M E, Vinogradova O Iu, Alisova A M, Frank G A, Khoroshko N D
Ter Arkh. 1996;68(7):37-42.
Basing on computer processing of 126 primary clinical and laboratory parameters obtained from 92 patients with myelodysplasia and using multifactorial regression analysis, the authors have developed prognostic models of life span and probability of transformation into acute leukemia. The model of life span enabled recognition of 3 prognostic groups of myelodysplasia patients: of high (median 10 months), moderate (median 22 months) and low (median 35 months) risk. This makes it possible to prognosticate the disease and assume optimal therapeutic policy.
基于对92例骨髓增生异常综合征患者的126项主要临床和实验室参数进行计算机处理，并运用多因素回归分析，作者开发出了寿命和转化为急性白血病概率的预后模型。寿命模型能够识别骨髓增生异常综合征患者的3个预后组：高风险组（中位数为10个月）、中度风险组（中位数为22个月）和低风险组（中位数为35个月）。这使得对该疾病进行预后预测并制定最佳治疗策略成为可能。
