Tomura S, Tsutani K, Sakuma A, Takeuchi J
Clin Nephrol. 1985 Feb;23(2):55-62.
Differences in clinical and laboratory findings between different renal histological lesions were examined in 138 patients with primary glomerular diseases, and discriminant analysis was carried out in 72 patients to determine whether each histological type could be distinguished by the linear combination of these findings. The histological types were classified into 7 groups: minimal change nephrotic syndrome (MCNS); focal glomerular sclerosis (FGS); membranous nephropathy (MN); membranoproliferative GN (MPGN); proliferative GN (PGN); PGN with focal crescents (P X fc); and minor glomerular lesions (MGL). Ten variantes were selected from the clinical and laboratory findings in the early stage of the disease: sex, age of onset, acute onset, oliguria, urine protein, RBC in urinary sediment, serum albumin, serum total cholesterol, serum creatinine, and systolic blood pressure. In the discriminant analysis made regarding all these items collectively as continuous variantes, there was a significant difference (p less than 0.001) in the combination patterns of the variantes among histological types. Therefore, further analysis was performed using canonical axes and a multi-stage discriminant method. The canonical score and data obtained by a multi-stage discriminant method demonstrated that MCNS, MN, MPGN, and the group of PGN, P X fc and MGL could be distinguished from each other well, but that the degree of proliferation or the presence of focal lesions could not be predicted. As a result of these studies, we obtained a discriminant formula with which we could predict, with fairly high accuracy, some histological types on the basis of data on the 10 items mentioned.
对138例原发性肾小球疾病患者不同肾脏组织学病变的临床和实验室检查结果差异进行了研究,并对72例患者进行判别分析,以确定能否通过这些检查结果的线性组合区分每种组织学类型。组织学类型分为7组:微小病变肾病(MCNS);局灶性节段性肾小球硬化(FGS);膜性肾病(MN);膜增生性肾小球肾炎(MPGN);增生性肾小球肾炎(PGN);伴局灶性新月体形成的PGN(P X fc);以及轻微肾小球病变(MGL)。从疾病早期的临床和实验室检查结果中选取了10个变量:性别、发病年龄、急性起病、少尿、尿蛋白、尿沉渣红细胞、血清白蛋白、血清总胆固醇、血清肌酐和收缩压。在将所有这些项目作为连续变量进行的判别分析中,各组织学类型变量的组合模式存在显著差异(p<0.001)。因此,使用典型轴和多阶段判别方法进行了进一步分析。典型得分和通过多阶段判别方法获得的数据表明,MCNS、MN、MPGN以及PGN、P X fc和MGL组可以很好地相互区分,但无法预测增殖程度或局灶性病变的存在。通过这些研究,我们得到了一个判别公式,利用该公式可以根据上述10项数据,以相当高的准确率预测某些组织学类型。