Deng Cheri, Li Weiping, Bunch Connor, Zackariya Sufyan, Patel Shivani, Buckner Hallie, Condon Shaun, Walsh Matthew, Miller Joseph, Walsh Mark, Hall Timothy, Jin Jionghua Judy, Stegemann Jan
University of Michigan.
Henry Ford Hospital.
Res Sq. 2024 Oct 16:rs.3.rs-4784695. doi: 10.21203/rs.3.rs-4784695/v1.
Disordered hemostasis associated with life-threatening hemorrhage commonly afflicts patients in the emergency room, critical care unit, and perioperative settings. Rapid and sensitive hemostasis phenotyping is needed to guide administration of blood components and hemostatic adjuncts to reverse aberrant coagulofibrinolysis. Here, resonant acoustic rheometry (RAR), a technique that quantifies the viscoelastic properties of soft biomaterials, was applied to assess plasma coagulation in a cohort of bleeding patients with concomitant clinical coagulation assays and whole blood thromboelastography (TEG) as part of their routine care. RAR captured the dynamic characteristics of plasma coagulation that were coagulation activators-dependent. RAR coagulation parameters correlated with TEG reaction time and TEG functional fibrinogen, especially when stratified by comorbidities. A quadratic classifier trained on RAR parameters predicted transfusion of fresh frozen plasma and cryoprecipitate with high overall accuracy. These results demonstrate the potential of RAR as a bedside hemostasis assessment to guide transfusion in bleeding patients.
与危及生命的出血相关的止血功能紊乱常见于急诊室、重症监护病房和围手术期的患者。需要快速且灵敏的止血表型分析来指导血液成分和止血辅助剂的使用,以逆转异常的凝血纤维蛋白溶解。在此,共振声学流变学(RAR)是一种量化软生物材料粘弹性特性的技术,作为常规护理的一部分,被应用于一组出血患者,同时进行临床凝血检测和全血血栓弹力图(TEG)来评估血浆凝固。RAR捕捉到了依赖于凝血激活剂的血浆凝固动态特征。RAR凝血参数与TEG反应时间和TEG功能性纤维蛋白原相关,尤其是在按合并症分层时。基于RAR参数训练的二次分类器预测新鲜冰冻血浆和冷沉淀的输注具有较高的总体准确率。这些结果证明了RAR作为床边止血评估方法指导出血患者输血的潜力。