Accelerating availability of clinically-relevant parameter estimates from thromboelastogram point-of-care device

BACKGROUND Modeling approaches offer a novel way to detect and predict coagulopathy in trauma patients. A dynamic model, built and tested on thromboelastogram (TEG) data, was used to generate a virtual library of over 160,000 simulated RapidTEGs. The patient-specific parameters are the initial platelet count, platelet activation rate, thrombus growth rate, and lysis rate ( P (0), k 1 , k 2 , and k 3 , respectively). METHODS Patient data from...