Rivard G E, Brummel-Ziedins K E, Mann K G, Fan L, Hofer A, Cohen E
Sainte-Justine Hospital, Montreal, QC, Canada.
J Thromb Haemost. 2005 Sep;3(9):2039-43. doi: 10.1111/j.1538-7836.2005.01513.x.
The objective of this study was to evaluate the possibility of linking the tracing of whole blood clotting in a thrombelastograph (TEG) hemostasis system with the generation of thrombin assessed by thrombin/antithrombin complex (TAT). Citrated whole blood containing corn trypsin inhibitor from volunteers was clotted in the presence of CaCl2 and tissue factor. Clotting was monitored with the eight channels of a TEG system. At different time points, the whole blood TEG reaction cups were kept in a cold quenching solution, centrifuged, and the supernatants were kept at -80 degrees C until assayed for TAT by ELISA. The total thrombus generation (TTG) was calculated from the first derivative of the TEG waveform and was compared with thrombin generation measured by TAT. The two vector values--the TAT thrombin generation data and the corresponding TEG TTG--were analyzed using Pearson correlation coefficients (r) and linear, non-linear and natural log (ln) transformation of TAT values for least-squares goodness-of-fit curves. The best least-squares fit is an exponential curve. Linearizing using the ln of the TAT thrombin generation variable produces the same r (0.94) as of the exponential curve. The prediction equation is y = 8.0465 + 0.0005x (P < or = 0.0001), where y is the TAT thrombin generation variable in the ln transformation and x is the TEG TTG variable. The high magnitude of r and the high significance of the prediction equation demonstrate the high efficacy of the prediction of TAT thrombin generation by the use of TEG TTG.
本研究的目的是评估在血栓弹力图(TEG)止血系统中全血凝血追踪与通过凝血酶/抗凝血酶复合物(TAT)评估的凝血酶生成之间建立联系的可能性。含有来自志愿者的玉米胰蛋白酶抑制剂的枸橼酸盐全血在氯化钙和组织因子存在的情况下发生凝血。使用TEG系统的八个通道监测凝血情况。在不同时间点,将全血TEG反应杯置于冷淬灭溶液中,离心,将上清液保存在-80℃直至通过ELISA测定TAT。从TEG波形的一阶导数计算总血栓生成量(TTG),并与通过TAT测量的凝血酶生成量进行比较。使用Pearson相关系数(r)以及对TAT值进行线性、非线性和自然对数(ln)转换以拟合最小二乘曲线,分析两个向量值——TAT凝血酶生成数据和相应的TEG TTG。最佳的最小二乘拟合是一条指数曲线。使用TAT凝血酶生成变量的ln进行线性化处理得到的r(0.94)与指数曲线相同。预测方程为y = 8.0465 + 0.0005x(P≤0.0001),其中y是ln转换中的TAT凝血酶生成变量,x是TEG TTG变量。r的高值和预测方程的高显著性表明使用TEG TTG预测TAT凝血酶生成具有高效性。