Literature DB >> 29123699

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

Yukio Akasaki1, Hiroshi Sugimori1, Kenta Momii1, Tomohiko Akahoshi1, Suguru Matsuura1, Yukihide Iwamoto2, Yoshihiko Maehara1, Makoto Hashizume1.   

Abstract

Aims: To recognize patients who require massive transfusion at the early stage of blunt trauma, we retrospectively investigated patients with high-energy blunt injuries transferred within 1 h post-trauma.
Methods: Between August 2007 and July 2011, 233 trauma patients were: (i) injured by a high-energy blunt mechanism with Injury Severity Score ≥9; (ii) not dead on arrival; (iii) older than 9 years; and (iv) at our center within 1 h after injury. The findings for 113 of those patients were analyzed, including those produced by ultrasonography, computed tomography, and arterial blood gas analyses.
Results: Of 113 patients, 33 underwent massive transfusion (≥6 units) within 8 h of arrival. A logistic regression analysis revealed that an arterial lactate level ≥28 mg/dL (P < 0.001; odds ratio, 105.11; 95% confidence interval, 12.58-2,718.84) and a flat ratio of the inferior vena cava on computed tomography ≥3 (P < 0.001; odds ratio, 32.50; 95% confidence interval, 4.44-714.44) were significant independent predictors for a massive transfusion within 8 h. In a receiver operating curve analysis, the area under the curve of the need for massive transfusion was 0.956, with a sensitivity of 0.94 and a specificity of 0.90. A linear predictive formula for the probability (P) of receiving a massive transfusion was generated as P = 2 × lactate (mg/dL) + 15 × the flat ratio of inferior vena cava - 103. Using another 52 trauma patients, the formula was validated. Conclusions: An elevated level of arterial lactate and the flat ratio of inferior vena cava were significant predictors for identifying the patients who would require a massive transfusion in the early stage after high-energy blunt trauma.

Entities:  

Keywords:  Arterial blood gases; flat ratio; inferior vena cava; lactate; massive transfusion; trauma

Year:  2014        PMID: 29123699      PMCID: PMC5667202          DOI: 10.1002/ams2.74

Source DB:  PubMed          Journal:  Acute Med Surg        ISSN: 2052-8817


  24 in total

1.  Contrast material extravasation on contrast-enhanced helical computed tomographic scan of blunt abdominal trauma: its significance on the choice, time, and outcome of treatment.

Authors:  Yon-Cheong Wong; Li-Jen Wang; Lai-Chu See; Jen-Feng Fang; Chip-Jin Ng; Chi-Jen Chen
Journal:  J Trauma       Date:  2003-01

2.  Early diagnosis of hypovolemic shock by sonographic measurement of inferior vena cava in trauma patients.

Authors:  Youichi Yanagawa; Kouichirou Nishi; Toshihisa Sakamoto; Yoshiaki Okada
Journal:  J Trauma       Date:  2005-04

3.  Prediction of mortality and of the need for massive transfusion in casualties arriving at combat support hospitals in Iraq.

Authors:  Leopoldo C Cancio; Charles E Wade; Susan A West; John B Holcomb
Journal:  J Trauma       Date:  2008-02

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

Authors:  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; Colin A Graham
Journal:  Resuscitation       Date:  2011-04-01       Impact factor: 5.262

5.  Trauma Associated Severe Hemorrhage (TASH)-Score: probability of mass transfusion as surrogate for life threatening hemorrhage after multiple trauma.

Authors:  Nedim Yücel; Rolf Lefering; Marc Maegele; Matthias Vorweg; Thorsten Tjardes; Steffen Ruchholtz; Edmund A M Neugebauer; Frank Wappler; Bertil Bouillon; Dieter Rixen
Journal:  J Trauma       Date:  2006-06

6.  Predictive value of a flat inferior vena cava on initial computed tomography for hemodynamic deterioration in patients with blunt torso trauma.

Authors:  Shokei Matsumoto; Kazuhiko Sekine; Motoyasu Yamazaki; Kenihiro Sasao; Tomohiro Funabiki; Masayuki Shimizu; Hiroshi Yoshii; Masanobu Kishikawa; Mitsuhide Kitano
Journal:  J Trauma       Date:  2010-12

7.  The role of rotation thromboelastometry in early prediction of massive transfusion.

Authors:  Harald Leemann; Thomas Lustenberger; Peep Talving; Leslie Kobayashi; Marko Bukur; Mirko Brenni; Martin Brüesch; Donat R Spahn; Marius J B Keel
Journal:  J Trauma       Date:  2010-12

Review 8.  Advanced trauma life support, 8th edition, the evidence for change.

Authors:  John B Kortbeek; Saud A Al Turki; Jameel Ali; Jill A Antoine; Bertil Bouillon; Karen Brasel; Fred Brenneman; Peter R Brink; Karim Brohi; David Burris; Reginald A Burton; Will Chapleau; Wiliam Cioffi; Francisco De Salles Collet e Silva; Art Cooper; Jaime A Cortes; Vagn Eskesen; John Fildes; Subash Gautam; Russell L Gruen; Ron Gross; K S Hansen; Walter Henny; Michael J Hollands; Richard C Hunt; Jose M Jover Navalon; Christoph R Kaufmann; Peggy Knudson; Amy Koestner; Roman Kosir; Claus Falck Larsen; West Livaudais; Fred Luchette; Patrizio Mao; John H McVicker; Jay Wayne Meredith; Charles Mock; Newton Djin Mori; Charles Morrow; Steven N Parks; Pedro Moniz Pereira; Renato Sergio Pogetti; Jesper Ravn; Peter Rhee; Jeffrey P Salomone; Inger B Schipper; Patrick Schoettker; Martin A Schreiber; R Stephen Smith; Lars Bo Svendsen; Wa'el Taha; Mary van Wijngaarden-Stephens; Endre Varga; Eric J Voiglio; Daryl Williams; Robert J Winchell; Robert Winter
Journal:  J Trauma       Date:  2008-06

Review 9.  Blood lactate as a predictor for in-hospital mortality in patients admitted acutely to hospital: a systematic review.

Authors:  Ole Kruse; Niels Grunnet; Charlotte Barfod
Journal:  Scand J Trauma Resusc Emerg Med       Date:  2011-12-28       Impact factor: 2.953

10.  The prognostic value of blood lactate levels relative to that of vital signs in the pre-hospital setting: a pilot study.

Authors:  Tim C Jansen; Jasper van Bommel; Paul G Mulder; Johannes H Rommes; Selma J M Schieveld; Jan Bakker
Journal:  Crit Care       Date:  2008-12-17       Impact factor: 9.097

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