OBJECTIVE: Injury and shock lead to alterations in conventional coagulation tests (CCTs). Recently, rapid thrombelastography (r-TEG) has become recognized as a comprehensive assessment of coagulation abnormalities. We have previously shown that admission r-TEG results are available faster than CCTs and predict pulmonary embolism. We hypothesized that r-TEGs more reliably predict blood component transfusion than CCTs. METHODS: Consecutive patients admitted between September 2009 and February 2011 who met the highest-level trauma activations were included. All had admission r-TEG and CCTs. We correlated r-TEG values [activated clotting time (ACT), r, k, α, maximal amplitude (MA), LY30] with their corresponding CCTs [prothrombin time (PT)/activated partial thromboplastin time (aPTT), international normalized ratio (INR), platelet count and fibrinogen] for transfusion requirements. Charges were calculated for each test. Demographics, vital signs, and injury severity were recorded. RESULTS: We studied 1974 major trauma activations. The median injury severity score was 17 [interquartile range 9-26]; 25% were in shock; 28% were transfused; and 6% died within 24 hours. Overall, r-TEG correlated with CCTs. When controlling for age, injury mechanism, weighted-Revised Trauma Score, base excess and hemoglobin, ACT-predicted red blood cell (RBC) transfusion, and the α-angle predicted massive RBC transfusion better than PT/aPTT or INR (P < 0.001). The α-angle was superior to fibrinogen for predicting plasma transfusion (P < 0.001); MA was superior to platelet count for predicting platelet transfusion (P < 0.001); and LY-30 (rate of amplitude reduction 30 minutes after the MA is reached) documented fibrinolysis. These correlations improved for transfused, shocked or head injured patients. The charge for r-TEG ($317) was similar to the 5 CCTs ($286). CONCLUSIONS: The r-TEG data was clinically superior to results from 5 CCTs. In addition, r-TEG identified patients with an increased risk of early RBC, plasma and platelet transfusions, and fibrinolysis. Admission CCTs can be replaced with r-TEG.
OBJECTIVE: Injury and shock lead to alterations in conventional coagulation tests (CCTs). Recently, rapid thrombelastography (r-TEG) has become recognized as a comprehensive assessment of coagulation abnormalities. We have previously shown that admission r-TEG results are available faster than CCTs and predict pulmonary embolism. We hypothesized that r-TEGs more reliably predict blood component transfusion than CCTs. METHODS: Consecutive patients admitted between September 2009 and February 2011 who met the highest-level trauma activations were included. All had admission r-TEG and CCTs. We correlated r-TEG values [activated clotting time (ACT), r, k, α, maximal amplitude (MA), LY30] with their corresponding CCTs [prothrombin time (PT)/activated partial thromboplastin time (aPTT), international normalized ratio (INR), platelet count and fibrinogen] for transfusion requirements. Charges were calculated for each test. Demographics, vital signs, and injury severity were recorded. RESULTS: We studied 1974 major trauma activations. The median injury severity score was 17 [interquartile range 9-26]; 25% were in shock; 28% were transfused; and 6% died within 24 hours. Overall, r-TEG correlated with CCTs. When controlling for age, injury mechanism, weighted-Revised Trauma Score, base excess and hemoglobin, ACT-predicted red blood cell (RBC) transfusion, and the α-angle predicted massive RBC transfusion better than PT/aPTT or INR (P < 0.001). The α-angle was superior to fibrinogen for predicting plasma transfusion (P < 0.001); MA was superior to platelet count for predicting platelet transfusion (P < 0.001); and LY-30 (rate of amplitude reduction 30 minutes after the MA is reached) documented fibrinolysis. These correlations improved for transfused, shocked or head injured patients. The charge for r-TEG ($317) was similar to the 5 CCTs ($286). CONCLUSIONS: The r-TEG data was clinically superior to results from 5 CCTs. In addition, r-TEG identified patients with an increased risk of early RBC, plasma and platelet transfusions, and fibrinolysis. Admission CCTs can be replaced with r-TEG.
Authors: John A Harvin; John P Sharpe; Martin A Croce; Michael D Goodman; Timothy A Pritts; Elizabeth D Dauer; Benjamin J Moran; Rachel D Rodriguez; Ben L Zarzaur; Laura A Kreiner; Jeffrey A Claridge; John B Holcomb Journal: J Trauma Acute Care Surg Date: 2019-07 Impact factor: 3.313
Authors: John B Holcomb; Erin E Fox; Xuan Zhang; Nathan White; Charles E Wade; Bryan A Cotton; Deborah J del Junco; Eileen M Bulger; Mitchell J Cohen; Martin A Schreiber; John G Myers; Karen J Brasel; Herb A Phelan; Louis H Alarcon; Peter Muskat; Mohammad H Rahbar Journal: J Trauma Acute Care Surg Date: 2013-07 Impact factor: 3.313
Authors: Lucy Z Kornblith; Matthew E Kutcher; Brittney J Redick; Carolyn S Calfee; Ryan F Vilardi; Mitchell Jay Cohen Journal: J Trauma Acute Care Surg Date: 2014-02 Impact factor: 3.313
Authors: Nathan J White; Yi Wang; Xiaoyun Fu; Jessica C Cardenas; Erika J Martin; Donald F Brophy; Charles E Wade; Xu Wang; Alexander E St John; Esther B Lim; Susan A Stern; Kevin R Ward; José A López; Dominic Chung Journal: Free Radic Biol Med Date: 2016-04-20 Impact factor: 7.376
Authors: Joshua B Brown; Jason L Sperry; Anisleidy Fombona; Timothy R Billiar; Andrew B Peitzman; Francis X Guyette Journal: J Am Coll Surg Date: 2015-01-24 Impact factor: 6.113
Authors: Karim Asehnoune; Zsolt Balogh; Giuseppe Citerio; Andre Cap; Timothy Billiar; Nino Stocchetti; Mitchell J Cohen; Paolo Pelosi; Nicola Curry; Christine Gaarder; Russell Gruen; John Holcomb; Beverley J Hunt; Nicole P Juffermans; Mark Maegele; Mark Midwinter; Frederick A Moore; Michael O'Dwyer; Jean-François Pittet; Herbert Schöchl; Martin Schreiber; Philip C Spinella; Simon Stanworth; Robert Winfield; Karim Brohi Journal: Intensive Care Med Date: 2017-07-29 Impact factor: 17.440
Authors: J N Harr; E E Moore; T L Chin; M P Chapman; A Ghasabyan; J R Stringham; A Banerjee; C C Silliman Journal: Eur J Trauma Emerg Surg Date: 2014-04-04 Impact factor: 3.693
Authors: Allie M Massaro; Sean Doerfler; Kelsey Nawalinski; Bernard Michel; Nicolette Driscoll; Connie Ju; Hiren Patel; Francis Quattrone; Suzanne Frangos; Eileen Maloney-Wilensky; Michael Sean Grady; Sherman C Stein; Scott E Kasner; Monisha A Kumar Journal: Neurocrit Care Date: 2015-02 Impact factor: 3.210
Authors: Julia R Coleman; Ernest E Moore; Michael P Chapman; Anirban Banerjee; Christopher C Silliman; Arsen Ghasabyan; James Chandler; Jason M Samuels; Angela Sauaia Journal: Surgery Date: 2018-06-12 Impact factor: 3.982