Erin Fox

Jul 30, 2024 | digitalcommons.library.tmc.edu | Andrew Benjamin |Andrew Young |John Holcomb |Erin Fox

OBJECTIVE: Develop a novel machine learning (ML) model to rapidly identify trauma patients with severe hemorrhage at risk of early mortality. BACKGROUND: The critical administration threshold (CAT, 3 or more units of red blood cells in a 60-minute period) indicates severe hemorrhage and predicts mortality, whereas early identification of such patients improves survival.

Oct 12, 2023 | jamanetwork.com | Ross Davenport |Nicola Curry |Erin Fox |Helen Thomas

Key PointsQuestion  Does transfusion of early and empirical high-dose cryoprecipitate in addition to standard care improve survival in bleeding patients with trauma who require activation of a major hemorrhage protocol? Findings  In this multicenter, international, randomized clinical trial of 1604 patients with trauma comparing standard care vs usual care plus 3 early pools of cryoprecipitate, there was no difference in all-cause 28-day mortality (26.1% vs 25.3%).