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A latent class model for defining severe hemorrhage

Authors :
Rahbar, Mohammad H.
Junco, Deborah J. del
Huang, Hanwen
Ning, Jing
Fox, Erin E.
Zhang, Xuan
Schreiber, Martin A.
Brasel, Karen J.
Bulger, Eileen M.
Wade, Charles E.
Cotton, Bryan A.
Phelan, Herb A.
Cohen, Mitchell J.
Myers, John G.
Alarcon, Louis H.
Muskat, Peter
Holcomb, John B.
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