Rozman C, Montserrat E, Rodríguez-Fernández J M, Ayats R, Vallespí T, Parody R, Ríos A, Prados D, Morey M, Gomis F
Blood. 1984 Sep;64(3):642-8.
In previous studies, the prognostic value of bone marrow (BM) histologic patterns in chronic lymphocytic leukemia (CLL) has been demonstrated. In order to investigate whether such a value is independent of other prognostic parameters, a multivariate survival analysis (Cox's regression model) was undertaken in a series of 329 CLL patients in whom a BM had been performed. The following binary variables were included in the analysis: age (more than 60 years), lymphadenopathy (more than two areas involved), splenomegaly, hepatomegaly, absolute lymphocyte count (more than 30,000 microL), anemia (hemoglobin less than 10 g/dL), thrombocytopenia (less than 100,000 microL), and BM pattern (diffuse v nondiffuse). Three variables entered the regression at significant level: BM pattern (P less than .001), anemia (P less than .001), and hepatomegaly (P = .03). The model was also tested by expressing the variables in a continuous way when possible. Again, BM pattern entered first in the regression (P less than .001), followed by the hepatomegaly (P = .002), hemoglobin level (P = .02), and lymphadenopathy (P = .04). When both the binary and the continuous models were tested separately in 227 patients with BM as initial staging procedure and in 102 patients in whom this was performed later during the course of the disease, in all instances, BM pattern entered first in the regression at a highly significant level. BM histologic pattern appears to be a better single prognostic parameter than any one of the variables employed in current clinical staging systems. A combined clinicopathologic system incorporating the BM pattern, together with the usual clinical variables, is presented.
在以往的研究中,已经证实了骨髓(BM)组织学模式在慢性淋巴细胞白血病(CLL)中的预后价值。为了研究这种价值是否独立于其他预后参数,对329例已进行骨髓检查的CLL患者进行了多因素生存分析(Cox回归模型)。分析中纳入了以下二元变量:年龄(超过60岁)、淋巴结病(累及两个以上区域)、脾肿大、肝肿大、绝对淋巴细胞计数(超过30,000/μL)、贫血(血红蛋白低于10 g/dL)、血小板减少(低于100,000/μL)以及骨髓模式(弥漫性与非弥漫性)。有三个变量在显著水平进入回归模型:骨髓模式(P<0.001)、贫血(P<0.001)和肝肿大(P = 0.03)。当尽可能以连续方式表达变量时,也对该模型进行了测试。同样,骨髓模式首先进入回归模型(P<0.001),其次是肝肿大(P = 0.002)、血红蛋白水平(P = 0.02)和淋巴结病(P = 0.04)。当分别在227例将骨髓检查作为初始分期程序的患者和102例在疾病过程中后来进行骨髓检查的患者中对二元模型和连续模型进行测试时,在所有情况下,骨髓模式均以高度显著水平首先进入回归模型。骨髓组织学模式似乎是比当前临床分期系统中使用的任何一个变量都更好的单一预后参数。本文提出了一个结合骨髓模式以及常用临床变量的联合临床病理系统。