Firsov N N, Bjelle A, Korotaeva T V, Priezzhev A V, Ryaboshapka O M
Russian State Medical University, Moscow, Russia.
Clin Hemorheol Microcirc. 1998 Jul;18(2-3):87-97.
Aggregation and disaggregation kinetics of erythrocytes in samples of whole blood were studied using a backscattering nephelometry technique. Blood was drawn from normal subjects and from patients suffering from different diseases: chronic glomerulonephritis, systemic lupus erythematosus, hereditary hypercholesterolemia, pulmonary hypertension, intestinal tumors preoperatively (age > 60 years), psoriasis, psoriatic arthritis, ischemia and ischemia with diabetes. Blood samples of healthy donors were used as controls. The backscattering signal in the erythroaggregometer was processed according to algorithms yielding quantitative data on the full amplitude of aggregation, characteristic times of spontaneous aggregation, average hydrodynamic strength of all aggregates and, whenever possible, additionally, strength of the largest aggregates. The obtained results confirm that the complexity of erythrocyte aggregation kinetics requires multiparametric description which, when applied to clinical material, enables the differentiation of aggregation characteristics between diseases.
采用背散射比浊法研究了全血样本中红细胞的聚集和解聚动力学。血液取自正常受试者以及患有不同疾病的患者：慢性肾小球肾炎、系统性红斑狼疮、遗传性高胆固醇血症、肺动脉高压、术前（年龄>60岁）的肠道肿瘤、银屑病、银屑病关节炎、缺血以及糖尿病合并缺血。健康供体的血样用作对照。红细胞聚集仪中的背散射信号根据算法进行处理，该算法可得出关于聚集全振幅、自发聚集特征时间、所有聚集体的平均流体动力学强度以及在可能的情况下另外得出最大聚集体强度的定量数据。所得结果证实，红细胞聚集动力学的复杂性需要多参数描述，将其应用于临床材料时，能够区分不同疾病之间的聚集特征。
