Literature DB >> 25029432

Changing patterns of in-hospital deaths following implementation of damage control resuscitation practices in US forward military treatment facilities.

Nicholas R Langan1, Matthew Eckert1, Matthew J Martin1.   

Abstract

IMPORTANCE: Analysis of combat deaths provides invaluable epidemiologic and quality-improvement data for trauma centers and is particularly important under rapidly evolving battlefield conditions.
OBJECTIVE: To analyze the evolution of injury patterns, early care, and resuscitation among patients who subsequently died in the hospital, before and after implementation of damage control resuscitation (DCR) policies. DESIGN, SETTING, AND PARTICIPANTS: In a review of the Joint Theater Trauma Registry (2002-2011) of US forward combat hospitals, cohorts of patients with vital signs at presentation and subsequent in-hospital death were grouped into 2 time periods: pre-DCR (before 2006) and DCR (2006-2011). MAIN OUTCOMES AND MEASURES: Injury types and Injury Severity Scores (ISSs), timing and location of death, and initial (24-hour) and total volume of blood products and fluid administered.
RESULTS: Of 57,179 soldiers admitted to a forward combat hospital, 2565 (4.5%) subsequently died in the hospital. The majority of patients (74%) were severely injured (ISS > 15), and 80% died within 24 hours of admission. Damage control resuscitation policies were widely implemented by 2006 and resulted in a decrease in mean 24-hour crystalloid infusion volume (6.1-3.2 L) and increased fresh frozen plasma use (3.2-10.1 U) (both P < .05) in this population. The mean packed red blood cells to fresh frozen plasma ratio changed from 2.6:1 during the pre-DCR period to 1.4:1 during the DCR period (P < .01). There was a significant increase in mean ISS between cohorts (pre-DCR ISS = 23 vs DCR ISS = 27; P < .05) and a marked shift in injury patterns favoring more severe head trauma in the DCR cohort. CONCLUSIONS AND RELEVANCE: There has been a significant shift in resuscitation practices in forward combat hospitals indicating widespread military adoption of DCR. Patients who died in a hospital during the DCR period were more likely to be severely injured and have a severe brain injury, consistent with a decrease in deaths among potentially salvageable patients.

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Year:  2014        PMID: 25029432     DOI: 10.1001/jamasurg.2014.940

Source DB:  PubMed          Journal:  JAMA Surg        ISSN: 2168-6254            Impact factor:   14.766


  28 in total

1.  Transfusion of plasma, platelets, and red blood cells in a 1:1:1 vs a 1:1:2 ratio and mortality in patients with severe trauma: the PROPPR randomized clinical trial.

Authors:  John B Holcomb; Barbara C Tilley; Sarah Baraniuk; Erin E Fox; Charles E Wade; Jeanette M Podbielski; Deborah J del Junco; Karen J Brasel; Eileen M Bulger; Rachael A Callcut; Mitchell Jay Cohen; Bryan A Cotton; Timothy C Fabian; Kenji Inaba; Jeffrey D Kerby; Peter Muskat; Terence O'Keeffe; Sandro Rizoli; Bryce R H Robinson; Thomas M Scalea; Martin A Schreiber; Deborah M Stein; Jordan A Weinberg; Jeannie L Callum; John R Hess; Nena Matijevic; Christopher N Miller; Jean-Francois Pittet; David B Hoyt; Gail D Pearson; Brian Leroux; Gerald van Belle
Journal:  JAMA       Date:  2015-02-03       Impact factor: 56.272

2.  Blurred front lines: triage and initial management of blast injuries.

Authors:  George C Balazs; Micah B Blais; Eric M Bluman; Romney C Andersen; Benjamin K Potter
Journal:  Curr Rev Musculoskelet Med       Date:  2015-09

3.  Rotational thromboelastometry significantly optimizes transfusion practices for damage control resuscitation in combat casualties.

Authors:  Nicolas J Prat; Andrew D Meyer; Nichole K Ingalls; Julie Trichereau; Joseph J DuBose; Andrew P Cap
Journal:  J Trauma Acute Care Surg       Date:  2017-09       Impact factor: 3.313

Review 4.  Optimal Fluid Therapy for Traumatic Hemorrhagic Shock.

Authors:  Ronald Chang; John B Holcomb
Journal:  Crit Care Clin       Date:  2017-01       Impact factor: 3.598

5.  Osteomyelitis Risk Factors Related to Combat Trauma Open Upper Extremity Fractures: A Case-Control Analysis.

Authors:  Tyler E Warkentien; Louis R Lewandowski; Benjamin K Potter; Joseph L Petfield; Daniel J Stinner; Margot Krauss; Clinton K Murray; David R Tribble
Journal:  J Orthop Trauma       Date:  2019-12       Impact factor: 2.512

6.  Osteomyelitis Risk Factors Related to Combat Trauma Open Tibia Fractures: A Case-Control Analysis.

Authors:  David R Tribble; Louis R Lewandowski; Benjamin K Potter; Joseph L Petfield; Daniel J Stinner; Anuradha Ganesan; Margot Krauss; Clinton K Murray
Journal:  J Orthop Trauma       Date:  2018-09       Impact factor: 2.512

7.  A controlled resuscitation strategy is feasible and safe in hypotensive trauma patients: results of a prospective randomized pilot trial.

Authors:  Martin A Schreiber; Eric N Meier; Samuel A Tisherman; Jeffrey D Kerby; Craig D Newgard; Karen Brasel; Debra Egan; William Witham; Carolyn Williams; Mohamud Daya; Jeff Beeson; Belinda H McCully; Stephen Wheeler; Delores Kannas; Susanne May; Barbara McKnight; David B Hoyt
Journal:  J Trauma Acute Care Surg       Date:  2015-04       Impact factor: 3.313

8.  Lessons of war: Combat-related injury infections during the Vietnam War and Operation Iraqi and Enduring Freedom.

Authors:  Dana M Blyth; Heather C Yun; David R Tribble; Clinton K Murray
Journal:  J Trauma Acute Care Surg       Date:  2015-10       Impact factor: 3.313

9.  Recommendations on RBC Transfusion in Critically Ill Children With Nonlife-Threatening Bleeding or Hemorrhagic Shock From the Pediatric Critical Care Transfusion and Anemia Expertise Initiative.

Authors:  Oliver Karam; Robert T Russell; Paul Stricker; Adam M Vogel; Scot T Bateman; Stacey L Valentine; Philip C Spinella
Journal:  Pediatr Crit Care Med       Date:  2018-09       Impact factor: 3.624

10.  Massive transfusion prediction in patients with multiple trauma by decision tree: a retrospective analysis.

Authors:  Liu Wei; Wu Chenggao; Zou Juan; Le Aiping
Journal:  Indian J Hematol Blood Transfus       Date:  2020-09-12       Impact factor: 0.900

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