Improvement of Treatment Outcomes after Implementation of a Massive Transfusion Protocol: A Level I Trauma Center Experience

We assessed the effectiveness of the implementation of an institutional massive transfusion protocol (MTP) for resuscitation with a 1:1:1 transfusion ratio of packed red blood cell (PRBC), fresh frozen plasma, and platelet units. In a Level I trauma center database, all trauma admissions (2004–2012)...

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Bibliographic Details
Published inThe American surgeon Vol. 83; no. 4; pp. 394 - 398
Main Authors Nunn, Andrew, Fischer, Peter, Sing, Ronald, Templin, Megan, Avery, Michael, Christmas, A. Britton
Format Journal Article
LanguageEnglish
Published Los Angeles, CA SAGE Publications 01.04.2017
SAGE PUBLICATIONS, INC
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Summary:We assessed the effectiveness of the implementation of an institutional massive transfusion protocol (MTP) for resuscitation with a 1:1:1 transfusion ratio of packed red blood cell (PRBC), fresh frozen plasma, and platelet units. In a Level I trauma center database, all trauma admissions (2004–2012) that received massive transfusions (≥10 units PRBCs in the first 24 hours) were reviewed retrospectively. Demographic data, transfusion ratios, and outcomes were compared before (PRE) and after (POST) MTP implementation in May 2008. Age, sex, and mechanism of injury were similar between 239 PRE and 208 POST trauma patients requiring massive transfusion. Transfusion ratios of fresh frozen plasma:PRBC and platelet:PRBC increased after MTP implementation. Among survivors, MTP implementation shortened hospital length of stay from 31 to 26 days (P = 0.04) and intensive care unit length of stay from 31 to 26 days (P = 0.02). Linear regression identified treatment after (versus before) implementation of MTP as an independent predictor of decreased ventilator days after adjusting for age, Glasgow Coma Scale, and chest Abbreviated Injury Score (P < 0.0001). Modest improvement in ratios likely does not account for all significant improvements in outcomes. Implementing a standardized protocol likely impacts automation, efficiency, and/or timeliness of product delivery.
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ISSN:0003-1348
1555-9823
DOI:10.1177/000313481708300429