• Resuscitation · Jun 2011

    Early risk stratification of patients with major trauma requiring massive blood transfusion.

    • Timothy H Rainer, Anthony M-H Ho, Janice H H Yeung, Nai Kwong Cheung, Raymond S M Wong, Ning Tang, Siu Keung Ng, George K C Wong, Paul B S Lai, and Colin A Graham.
    • Department of Accident and Emergency Medicine, Prince of Wales Hospital, The Chinese University of Hong Kong, Shatin, NT, Hong Kong. thrainer@cuhk.edu.hk
    • Resuscitation. 2011 Jun 1;82(6):724-9.

    BackgroundThere is limited evidence to guide the recognition of patients with massive, uncontrolled hemorrhage who require initiation of a massive transfusion (MT) protocol.ObjectiveTo risk stratify patients with major trauma and to predict need for MT.DesignsRetrospective analysis of an administrative trauma database of major trauma patients. A REGIONAL TRAUMA CENTRE: A regional trauma centres in Hong Kong.PatientsPatients with Injury Severity Score ≥ 9 and age ≥ 12 years were included. Burn patients, patients with known severe anemia and renal failure, or died within 24h were excluded.Main Outcome MeasuresDelivery of ≥ 10 units of packed red blood cells (RBC) within 24h.ResultsBetween 01/01/2001 and 30/06/2009, 1891 patients met the inclusion criteria. 92 patients required ≥ 10 units RBC within 24h. Seven variables which were easy to be measured in the ED and significantly predicted the need for MT are heart rate ≥ 120/min; systolic blood pressure ≤ 90 mm Hg; Glasgow coma scale ≤ 8; displaced pelvic fracture; CT scan or FAST positive for fluid; base deficit >5 mmol/L; hemoglobin ≤ 7 g/dL; and hemoglobin 7.1-10 g/dL. At a cut off of ≥ 6, the overall correct classification for predicting need for MT was 96.9%, with a sensitivity of 31.5% and specificity of 99.7%, and an incidence of MT of 82.9%. The area under the curve was 0.889.ConclusionA prediction rule for determining an increased likelihood for the need for massive transfusion has been derived. This needs validation in an independent data set.Copyright © 2011 Elsevier Ireland Ltd. All rights reserved.

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