Lynch Alex M, Ruterbories Laura, Jack John, Motsinger-Reif Alison A, Hanel Rita
Department of Clinical Sciences, North Carolina State University, Raleigh, North Carolina.
Department of Statistics, North Carolina State University, Raleigh, North Carolina.
J Vet Emerg Crit Care (San Antonio). 2020 Jul;30(4):418-425. doi: 10.1111/vec.12979. Epub 2020 Jun 25.
Determine the correlation between kaolin-activated thromboelastography (TEG) variables (R, K, angle, and maximum amplitude [MA]) and PCV, fibrinogen concentration (FC), and total fibrinogen (TF) in an ex vivo model.
Two healthy adult mixed-breed dogs.
Citrated whole blood was obtained and separated into packed red cells, platelet rich plasma, and platelet poor plasma (PPP). An aliquot of PPP was heated to denature heat labile proteins (fibrinogen, factor V, factor VIII). Blood components were recombined for analyses of 6 physiological scenarios: anemia with low fibrinogen; anemia with moderate fibrinogen; anemia with normal fibrinogen; anemia with normal saline; normal PCV and normal fibrinogen; and normal PCV and low fibrinogen. A Kruskal-Wallis test, along with linear regressions on pairwise combinations of TEG variables, was used to determine the correlation between TEG variables and PCV, FC, and TF.
Maximum amplitude correlated with FC (R 0.60, P < 0.001) and TF (R 0.57, P < 0.001) but not PCV (R 0.003, P = 0.7). Angle and K time were moderately correlated with FC ([angle: R 0.53, P < 0.001]; [K: R 0.55, P < 0.001]) and TF ([alpha angle: R 0.52, P < 0.001]; [K: R 0.51, P < 0.001]) but not PCV. The R time was weakly correlated with PCV (R 0.15, P < 0.009) but not FC or TF.
In an ex vivo model, plasma proteins but not PCV impacted TEG variables. This suggests that TEG changes noted with anemia are imparted by changes in available fibrinogen in a fixed microenvironment rather than artifact of anemia.
在体外模型中确定高岭土激活血栓弹力图(TEG)变量(R、K、角度和最大振幅[MA])与血细胞比容(PCV)、纤维蛋白原浓度(FC)和总纤维蛋白原(TF)之间的相关性。
两只健康的成年混血犬。
采集枸橼酸盐抗凝血并分离为压积红细胞、富血小板血浆和贫血小板血浆(PPP)。取一份PPP加热使热不稳定蛋白(纤维蛋白原、因子V、因子VIII)变性。将血液成分重新组合以分析6种生理情况:低纤维蛋白原性贫血;中度纤维蛋白原性贫血;正常纤维蛋白原性贫血;生理盐水性贫血;正常PCV和正常纤维蛋白原;正常PCV和低纤维蛋白原。采用Kruskal-Wallis检验以及对TEG变量的成对组合进行线性回归,以确定TEG变量与PCV、FC和TF之间的相关性。
最大振幅与FC(R = 0.60,P < 0.001)和TF(R = 0.57,P < 0.001)相关,但与PCV无关(R = 0.003,P = 0.7)。角度和K时间与FC([角度:R = 0.53,P < 0.001];[K:R = 0.55,P < 0.001])和TF([α角度:R = 0.52,P < 0.001];[K:R = 0.51,P < 0.001])中度相关,但与PCV无关。R时间与PCV弱相关(R = 0.15,P < 0.009),但与FC或TF无关。
在体外模型中,影响TEG变量的是血浆蛋白而非PCV。这表明贫血时观察到的TEG变化是由固定微环境中可用纤维蛋白原的变化引起的,而非贫血的假象。