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A latent class model for defining severe hemorrhage
- Source :
- Journal of Trauma and Acute Care Surgery; July 2013, Vol. 75 Issue: Supplement 1 pS82-S88, 7p
- Publication Year :
- 2013
-
Abstract
- Several predictive models have been developed to identify trauma patients who have had severe hemorrhage (SH) and may need a massive transfusion (MT) protocol. However, almost all these models define SH as the transfusion of 10 or more units of red blood cells (RBCs) within 24 hours of emergency department admission (also known as MT). This definition excludes some patients with SH, especially those who die before a 10th unit of RBCs could be transfused, which calls the validity of these prediction models into question. We show how a latent class model could improve the accuracy of identifying the SH patients.
Details
- Language :
- English
- ISSN :
- 21630755 and 21630763
- Volume :
- 75
- Issue :
- Supplement 1
- Database :
- Supplemental Index
- Journal :
- Journal of Trauma and Acute Care Surgery
- Publication Type :
- Periodical
- Accession number :
- ejs48508023
- Full Text :
- https://doi.org/10.1097/TA.0b013e31828fa3d3