Literature DB >> 21458905

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

Timothy H Rainer1, 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, Colin A Graham.   

Abstract

BACKGROUND: There is limited evidence to guide the recognition of patients with massive, uncontrolled hemorrhage who require initiation of a massive transfusion (MT) protocol.
OBJECTIVE: To risk stratify patients with major trauma and to predict need for MT. DESIGNS: Retrospective analysis of an administrative trauma database of major trauma patients. A REGIONAL TRAUMA CENTRE: A regional trauma centres in Hong Kong. PATIENTS: Patients 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 MEASURES: Delivery of ≥ 10 units of packed red blood cells (RBC) within 24h.
RESULTS: Between 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.
CONCLUSION: A 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.

Entities:  

Mesh:

Year:  2011        PMID: 21458905     DOI: 10.1016/j.resuscitation.2011.02.016

Source DB:  PubMed          Journal:  Resuscitation        ISSN: 0300-9572            Impact factor:   5.262


  33 in total

Review 1.  Protocols for massive blood transfusion: when and why, and potential complications.

Authors:  E Guerado; A Medina; M I Mata; J M Galvan; M L Bertrand
Journal:  Eur J Trauma Emerg Surg       Date:  2015-12-09       Impact factor: 3.693

2.  Empiric transfusion strategies during life-threatening hemorrhage.

Authors:  Geoffrey R Nunns; Ernest E Moore; Gregory R Stettler; Hunter B Moore; Arsen Ghasabyan; Mitchell Cohen; Benjamin R Huebner; Christopher C Silliman; Anirban Banerjee; Angela Sauaia
Journal:  Surgery       Date:  2018-04-27       Impact factor: 3.982

3.  Application status of blood constituents during massive blood transfusion in some regions of China.

Authors:  Jiang-Cun Yang; Yang Sun; Cui-Xiang Xu; Qian-Li Dang; Ling Li; Yong-Gang Xu; Yao-Jun Song; Hong Yan
Journal:  Int J Clin Exp Med       Date:  2014-07-15

4.  A simple predictive formula for the blood requirement in patients with high-energy blunt injuries transferred within one hour post-trauma.

Authors:  Yukio Akasaki; Hiroshi Sugimori; Kenta Momii; Tomohiko Akahoshi; Suguru Matsuura; Yukihide Iwamoto; Yoshihiko Maehara; Makoto Hashizume
Journal:  Acute Med Surg       Date:  2014-10-20

5.  Defining when to initiate massive transfusion: a validation study of individual massive transfusion triggers in PROMMTT patients.

Authors:  Rachael A Callcut; Bryan A Cotton; Peter Muskat; Erin E Fox; Charles E Wade; John B Holcomb; Martin A Schreiber; Mohammad H Rahbar; Mitchell J Cohen; M Margaret Knudson; Karen J Brasel; Eileen M Bulger; Deborah J Del Junco; John G Myers; Louis H Alarcon; Bryce R H Robinson
Journal:  J Trauma Acute Care Surg       Date:  2013-01       Impact factor: 3.313

6.  Recursive partitioning identifies greater than 4 U of packed red blood cells per hour as an improved massive transfusion definition.

Authors:  Alexis Marika Moren; David Hamptom; Brian Diggs; Laszlo Kiraly; Erin E Fox; John B Holcomb; Mohammad Hossein Rahbar; Karen J Brasel; Mitchell Jay Cohen; Eileen M Bulger; Martin A Schreiber
Journal:  J Trauma Acute Care Surg       Date:  2015-12       Impact factor: 3.313

7.  Early resuscitation intensity as a surrogate for bleeding severity and early mortality in the PROMMTT study.

Authors:  Elaheh Rahbar; Erin E Fox; Deborah J del Junco; John A Harvin; John B Holcomb; Charles E Wade; Martin A Schreiber; Mohammad H Rahbar; Eileen M Bulger; Herb A Phelan; Karen J Brasel; Louis H Alarcon; John G Myers; Mitchell J Cohen; Peter Muskat; Bryan A Cotton
Journal:  J Trauma Acute Care Surg       Date:  2013-07       Impact factor: 3.313

8.  A latent class model for defining severe hemorrhage: experience from the PROMMTT study.

Authors:  Mohammad H Rahbar; Deborah J del Junco; Hanwen Huang; Jing Ning; Erin E Fox; Xuan Zhang; Martin A Schreiber; Karen J Brasel; Eileen M Bulger; Charles E Wade; Bryan A Cotton; Herb A Phelan; Mitchell J Cohen; John G Myers; Louis H Alarcon; Peter Muskat; John B Holcomb
Journal:  J Trauma Acute Care Surg       Date:  2013-07       Impact factor: 3.313

9.  The impact of missing trauma data on predicting massive transfusion.

Authors:  Amber W Trickey; Erin E Fox; Deborah J del Junco; Jing Ning; John B Holcomb; Karen J Brasel; Mitchell J Cohen; Martin A Schreiber; Eileen M Bulger; Herb A Phelan; Louis H Alarcon; John G Myers; Peter Muskat; Bryan A Cotton; Charles E Wade; Mohammad H Rahbar
Journal:  J Trauma Acute Care Surg       Date:  2013-07       Impact factor: 3.313

10.  Impact of perioperative hemoglobin levels on postoperative outcomes in gastric cancer surgery.

Authors:  Do-Hyun Jung; Hyuk-Joon Lee; Dong-Seok Han; Yun-Suhk Suh; Seong-Ho Kong; Kuhn-Uk Lee; Han-Kwang Yang
Journal:  Gastric Cancer       Date:  2012-09-25       Impact factor: 7.370

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.