BACKGROUND: Combat injury patterns differ from civilian trauma in that the former are largely explosion-related, comprising multiple mechanistic and fragment injuries and high-kinetic-energy bullets. Further, unlike civilians, U.S. armed forces combatants are usually heavily protected with helmets and Kevlar body armor with ceramic plate inserts. Searchable databases providing actionable, statistically valid knowledge of body surface entry wounds and resulting organ injury severity are essential to understanding combat trauma. METHODS: Two tools were developed to address these unique aspects of combat injury: (1) the Surface Wound Mapping (SWM) database and Surface Wound Analysis Tool (SWAT) software that were developed to generate 3D density maps of point-of-surface wound entry and resultant anatomic injury severity; and (2) the Abbreviated Injury Scale (AIS) 2005-Military that was developed by a panel of military trauma surgeons to account for multiple injury etiology from explosions and other high-kinetic- energy weapons. Combined data from the Joint Theater Trauma Registry, Navy/Marine Combat Trauma Registry, and the Armed Forces Medical Examiner System Mortality Trauma Registry were coded in AIS 2005-Military, entered into the SWM database, and analyzed for entrance site and wounding path. RESULTS: When data on 1,151 patients, who had a total of 3,500 surface wounds and 12,889 injuries, were entered into SWM, surface wounds averaged 3.0 per casualty and injuries averaged 11.2 per casualty. Of the 3,500 surface wounds, 2,496 (71%) were entrance wounds with 6,631 (51%) associated internal injuries, with 2.2 entrance wounds and 5.8 associated injuries per casualty (some details cannot be given because of operational security). Crude deaths rates were calculated using Maximum AIS-Military. CONCLUSION: These new tools have been successfully implemented to describe combat injury, mortality, and distribution of wounds and associated injuries. AIS 2005-Military is a more precise assignment of severity to military injuries. SWM has brought data from all three combat registries together into one analyzable database. SWM and SWAT allow visualization of wounds and associated injuries by region on a 3D model of the body.
BACKGROUND:Combat injury patterns differ from civilian trauma in that the former are largely explosion-related, comprising multiple mechanistic and fragment injuries and high-kinetic-energy bullets. Further, unlike civilians, U.S. armed forces combatants are usually heavily protected with helmets and Kevlar body armor with ceramic plate inserts. Searchable databases providing actionable, statistically valid knowledge of body surface entry wounds and resulting organ injury severity are essential to understanding combat trauma. METHODS: Two tools were developed to address these unique aspects of combat injury: (1) the Surface Wound Mapping (SWM) database and Surface Wound Analysis Tool (SWAT) software that were developed to generate 3D density maps of point-of-surface wound entry and resultant anatomic injury severity; and (2) the Abbreviated Injury Scale (AIS) 2005-Military that was developed by a panel of military trauma surgeons to account for multiple injury etiology from explosions and other high-kinetic- energy weapons. Combined data from the Joint Theater Trauma Registry, Navy/Marine Combat Trauma Registry, and the Armed Forces Medical Examiner System Mortality Trauma Registry were coded in AIS 2005-Military, entered into the SWM database, and analyzed for entrance site and wounding path. RESULTS: When data on 1,151 patients, who had a total of 3,500 surface wounds and 12,889 injuries, were entered into SWM, surface wounds averaged 3.0 per casualty and injuries averaged 11.2 per casualty. Of the 3,500 surface wounds, 2,496 (71%) were entrance wounds with 6,631 (51%) associated internal injuries, with 2.2 entrance wounds and 5.8 associated injuries per casualty (some details cannot be given because of operational security). Crude deaths rates were calculated using Maximum AIS-Military. CONCLUSION: These new tools have been successfully implemented to describe combat injury, mortality, and distribution of wounds and associated injuries. AIS 2005-Military is a more precise assignment of severity to military injuries. SWM has brought data from all three combat registries together into one analyzable database. SWM and SWAT allow visualization of wounds and associated injuries by region on a 3D model of the body.
Authors: David R Tribble; Bradley Lloyd; Amy Weintrob; Anuradha Ganesan; Clinton K Murray; Ping Li; William Bradley; Susan Fraser; Tyler Warkentien; Lakisha J Gaskins; Françoise Seillier-Moiseiwitsch; Eugene V Millar; Duane R Hospenthal Journal: J Trauma Date: 2011-08
Authors: Bradley A Lloyd; Clinton K Murray; William Bradley; Faraz Shaikh; Deepak Aggarwal; M Leigh Carson; David R Tribble Journal: Mil Med Date: 2017-03 Impact factor: 1.437
Authors: Bradley A Lloyd; Clinton K Murray; Faraz Shaikh; M Leigh Carson; Dana M Blyth; Elizabeth R Schnaubelt; Timothy J Whitman; David R Tribble Journal: Mil Med Date: 2018-09-01 Impact factor: 1.437
Authors: David R Tribble; Nicholas G Conger; Susan Fraser; Todd D Gleeson; Ken Wilkins; Tanya Antonille; Amy Weintrob; Anuradha Ganesan; Lakisha J Gaskins; Ping Li; Greg Grandits; Michael L Landrum; Duane R Hospenthal; Eugene V Millar; Lorne H Blackbourne; James R Dunne; David Craft; Katrin Mende; Glenn W Wortmann; Rachel Herlihy; Jay McDonald; Clinton K Murray Journal: J Trauma Date: 2011-07
Authors: David R Tribble; Ping Li; Tyler E Warkentien; Bradley A Lloyd; Elizabeth R Schnaubelt; Anuradha Ganesan; William Bradley; Deepak Aggarwal; M Leigh Carson; Amy C Weintrob; Clinton K Murray Journal: Mil Med Date: 2016-10 Impact factor: 1.437
Authors: Tyler Warkentien; Carlos Rodriguez; Bradley Lloyd; Justin Wells; Amy Weintrob; James R Dunne; Anuradha Ganesan; Ping Li; William Bradley; Lakisha J Gaskins; Françoise Seillier-Moiseiwitsch; Clinton K Murray; Eugene V Millar; Bryan Keenan; Kristopher Paolino; Mark Fleming; Duane R Hospenthal; Glenn W Wortmann; Michael L Landrum; Mark G Kortepeter; David R Tribble Journal: Clin Infect Dis Date: 2012-10-05 Impact factor: 9.079
Authors: Bradley A Lloyd; Amy C Weintrob; Mary K Hinkle; Gerald R Fortuna; Clinton K Murray; William Bradley; Eugene V Millar; Faraz Shaikh; Kristen Vanderzant; Stacie Gregg; Gina Lloyd; Julie Stevens; M Leigh Carson; Deepak Aggarwal; David R Tribble Journal: Mil Med Date: 2014-03 Impact factor: 1.437