Mouhamed Yazan Abou-Ismail, Chong Zhang, Angela P Presson, Shruti Chaturvedi, Ana G Antun, Andrew M Farland, Ryan Woods, Ara Metjian, Yara A Park, Gustaaf de Ridder, Briana Gibson, Raj S Kasthuri, Darla K Liles, Frank Akwaa, Todd Clover, Lisa Baumann Kreuziger, Meera Sridharan, Ronald S Go, Keith R McCrae, Harsh Vardhan Upreti, Radhika Gangaraju, Nicole K Kocher, X Long Zheng, Jay S Raval, Camila Masias, Spero R Cataland, Andrew D Johnson, Elizabeth Davis, Michael D Evans, Marshall Mazepa, Ming Y Lim
BACKGROUND: Mortality due to immune-mediated thrombotic thrombocytopenic purpura (iTTP) remains significant. Predicting mortality risk may potentially help individualize treatment. The French Thrombotic Microangiopathy (TMA) Reference Score has not been externally validated in the United States. Recent advances in machine learning technology can help analyze large numbers of variables with complex interactions for the development of prediction models. OBJECTIVES: To validate the French TMA Reference Score in the United States Thrombotic Microangiopathy (USTMA) iTTP database and subsequently develop a novel mortality prediction tool, the USTMA TTP Mortality Index...
March 2024: Research and Practice in Thrombosis and Haemostasis