Institute of Anesthesiology, University of Zurich and University Hospital Zurich, Zurich, Switzerland.
Department of Anaesthesiology, Intensive Care Medicine and Pain Therapy, University Hospital Frankfurt, Frankfurt/Main, Germany.
Anaesthesia. 2020 Aug;75(8):1059-1069. doi: 10.1111/anae.14985. Epub 2020 Feb 6.
Point-of-care viscoelastic coagulation tests are used increasingly and enable physicians to run precise whole blood coagulation diagnostics. However, the somewhat complicated and abstract presentation of results may hinder these advantages. For this reason, we developed the Visual Clot as an alternative mode of presentation for thrombelastometric data. An algorithm takes existing parameters from rotational thromboelastometry and creates a visual representation in the form of an animated blood clot named 'Visual Clot'. In a prospective international dual-centre study, 60 physicians were presented with rotational thromboelastometry results in the standard way or as a Visual Clot. They were then asked to make therapeutic decisions based on pathological findings. Overall proportion of correct therapeutic decisions was median (IQR [range] 100 (83-100 [39-100]) % for Visual Clot vs. 44 (25-50 [0-83]) % for standard rotational thromboelastometry presentation of results, p < 0.001. Mixed regression models yielded a mean OR (95%CI) 22.1 (13.4-36.5), p < 0.001 for correct decisions with the Visual Clot compared with standard rotational thromboelastometry, with an 18.7 (16.4-21.1), p < 0.001 second decrease in decision time. Perceived cognitive work-load was lower, and participants rated their diagnostic confidence to be higher with the Visual Clot, both p < 0.001. Although correct interpretation of standard rotational thromboelastometry results depended on previous rotational thromboelastometry knowledge and experience, Visual Clot interpretation did not. The Visual Clot improved rotational thromboelastometry-based therapeutic decisions, as pathologies can be recognised more rapidly and accurately. These findings underline the significance of an alternative additional visualisation technique that simplifies the interpretation of abstract standard data.
即时凝血弹性成像检测被广泛应用,使医生能够进行精确的全血凝血诊断。然而,结果的呈现方式较为复杂和抽象,可能会影响这些优势的发挥。为此,我们开发了可视血凝块(Visual Clot)作为血栓弹力图数据的另一种呈现方式。该算法从旋转血栓弹性图中提取现有参数,并以动画血凝块的形式创建一个可视表示,命名为“可视血凝块(Visual Clot)”。在一项前瞻性的国际双中心研究中,60 名医生以标准方式或可视血凝块的方式呈现旋转血栓弹性图的结果,然后根据病理发现做出治疗决策。基于病理发现,正确治疗决策的总体比例为中位数(IQR [范围] 100(83-100 [39-100])%,可视血凝块 vs. 44(25-50 [0-83])%,标准旋转血栓弹性图呈现结果,p < 0.001。混合回归模型得出平均比值比(95%CI)22.1(13.4-36.5),p < 0.001,可视血凝块与标准旋转血栓弹性图相比,正确决策的可能性更高,决策时间缩短 18.7(16.4-21.1),p < 0.001。可视血凝块的认知工作负荷更低,参与者认为使用可视血凝块时诊断信心更高,均为 p < 0.001。尽管标准旋转血栓弹性图结果的正确解释取决于之前对旋转血栓弹性图的了解和经验,但可视血凝块的解释却不受此影响。可视血凝块改善了基于旋转血栓弹性图的治疗决策,因为可以更快、更准确地识别病理。这些发现强调了替代的可视化技术的重要性,该技术简化了对抽象标准数据的解释。