Jeffrey T Howard1,2, Russ S Kotwal2,3,4, Caryn A Stern2, Jud C Janak2, Edward L Mazuchowski2,5, Frank K Butler2, Zsolt T Stockinger2,6, Barbara R Holcomb7, Raquel C Bono8, David J Smith8. 1. Department of Kinesiology, Health, and Nutrition, The University of Texas at San Antonio. 2. Department of Defense Joint Trauma System, Defense Health Agency, Joint Base San Antonio-Fort Sam Houston, Texas. 3. Department of Military and Emergency Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland. 4. Texas A&M Health Science Center College of Medicine, College Station. 5. Armed Forces Medical Examiner System, Dover Air Force Base, Dover, Delaware. 6. Bureau of Medicine and Surgery, US Navy, Falls Church, Virginia. 7. US Army Medical Research and Materiel Command, Fort Detrick, Maryland. 8. Defense Health Agency, US Department of Defense, Falls Church, Virginia.
Abstract
Importance: Although the Afghanistan and Iraq conflicts have the lowest US case-fatality rates in history, no comprehensive assessment of combat casualty care statistics, major interventions, or risk factors has been reported to date after 16 years of conflict. Objectives: To analyze trends in overall combat casualty statistics, to assess aggregate measures of injury and interventions, and to simulate how mortality rates would have changed had the interventions not occurred. Design, Setting, and Participants: Retrospective analysis of all available aggregate and weighted individual administrative data compiled from Department of Defense databases on all 56 763 US military casualties injured in battle in Afghanistan and Iraq from October 1, 2001, through December 31, 2017. Casualty outcomes were compared with period-specific ratios of the use of tourniquets, blood transfusions, and transport to a surgical facility within 60 minutes. Main Outcomes and Measures: Main outcomes were casualty status (alive, killed in action [KIA], or died of wounds [DOW]) and the case-fatality rate (CFR). Regression, simulation, and decomposition analyses were used to assess associations between covariates, interventions, and individual casualty status; estimate casualty transitions (KIA to DOW, KIA to alive, and DOW to alive); and estimate the contribution of interventions to changes in CFR. Results: In aggregate data for 56 763 casualties, CFR decreased in Afghanistan (20.0% to 8.6%) and Iraq (20.4% to 10.1%) from early stages to later stages of the conflicts. Survival for critically injured casualties (Injury Severity Score, 25-75 [critical]) increased from 2.2% to 39.9% in Afghanistan and from 8.9% to 32.9% in Iraq. Simulations using data from 23 699 individual casualties showed that without interventions assessed, CFR would likely have been higher in Afghanistan (15.6% estimated vs 8.6% observed) and Iraq (16.3% estimated vs 10.1% observed), equating to 3672 additional deaths (95% CI, 3209-4244 deaths), of which 1623 (44.2%) were associated with the interventions studied: 474 deaths (12.9%) (95% CI, 439-510) associated with the use of tourniquets, 873 (23.8%) (95% CI, 840-910) with blood transfusion, and 275 (7.5%) (95% CI, 259-292) with prehospital transport times. Conclusions and Relevance: Our analysis suggests that increased use of tourniquets, blood transfusions, and more rapid prehospital transport were associated with 44.2% of total mortality reduction. More critically injured casualties reached surgical care, with increased survival, implying improvements in prehospital and hospital care.
Importance: Although the Afghanistan and Iraq conflicts have the lowest US case-fatality rates in history, no comprehensive assessment of combat casualty care statistics, major interventions, or risk factors has been reported to date after 16 years of conflict. Objectives: To analyze trends in overall combat casualty statistics, to assess aggregate measures of injury and interventions, and to simulate how mortality rates would have changed had the interventions not occurred. Design, Setting, and Participants: Retrospective analysis of all available aggregate and weighted individual administrative data compiled from Department of Defense databases on all 56 763 US military casualties injured in battle in Afghanistan and Iraq from October 1, 2001, through December 31, 2017. Casualty outcomes were compared with period-specific ratios of the use of tourniquets, blood transfusions, and transport to a surgical facility within 60 minutes. Main Outcomes and Measures: Main outcomes were casualty status (alive, killed in action [KIA], or died of wounds [DOW]) and the case-fatality rate (CFR). Regression, simulation, and decomposition analyses were used to assess associations between covariates, interventions, and individual casualty status; estimate casualty transitions (KIA to DOW, KIA to alive, and DOW to alive); and estimate the contribution of interventions to changes in CFR. Results: In aggregate data for 56 763 casualties, CFR decreased in Afghanistan (20.0% to 8.6%) and Iraq (20.4% to 10.1%) from early stages to later stages of the conflicts. Survival for critically injured casualties (Injury Severity Score, 25-75 [critical]) increased from 2.2% to 39.9% in Afghanistan and from 8.9% to 32.9% in Iraq. Simulations using data from 23 699 individual casualties showed that without interventions assessed, CFR would likely have been higher in Afghanistan (15.6% estimated vs 8.6% observed) and Iraq (16.3% estimated vs 10.1% observed), equating to 3672 additional deaths (95% CI, 3209-4244 deaths), of which 1623 (44.2%) were associated with the interventions studied: 474 deaths (12.9%) (95% CI, 439-510) associated with the use of tourniquets, 873 (23.8%) (95% CI, 840-910) with blood transfusion, and 275 (7.5%) (95% CI, 259-292) with prehospital transport times. Conclusions and Relevance: Our analysis suggests that increased use of tourniquets, blood transfusions, and more rapid prehospital transport were associated with 44.2% of total mortality reduction. More critically injured casualties reached surgical care, with increased survival, implying improvements in prehospital and hospital care.
Authors: John F Kragh; Thomas J Walters; David G Baer; Charles J Fox; Charles E Wade; Jose Salinas; John B Holcomb Journal: Ann Surg Date: 2009-01 Impact factor: 12.969
Authors: Russ S Kotwal; Harold R Montgomery; Ethan A Miles; Curtis C Conklin; Michael T Hall; Stanley A McChrystal Journal: J Trauma Acute Care Surg Date: 2017-06 Impact factor: 3.313
Authors: Rebecca Schroll; Alison Smith; Norman E McSwain; John Myers; Kristin Rocchi; Kenji Inaba; Stefano Siboni; Gary A Vercruysse; Irada Ibrahim-Zada; Jason L Sperry; Christian Martin-Gill; Jeremy W Cannon; Seth R Holland; Martin A Schreiber; Diane Lape; Alexander L Eastman; Cari S Stebbins; Paula Ferrada; Jinfeng Han; Peter Meade; Juan C Duchesne Journal: J Trauma Acute Care Surg Date: 2015-07 Impact factor: 3.313
Authors: Brian J Eastridge; Robert L Mabry; Peter Seguin; Joyce Cantrell; Terrill Tops; Paul Uribe; Olga Mallett; Tamara Zubko; Lynne Oetjen-Gerdes; Todd E Rasmussen; Frank K Butler; Russ S Kotwal; Russell S Kotwal; John B Holcomb; Charles Wade; Howard Champion; Mimi Lawnick; Leon Moores; Lorne H Blackbourne Journal: J Trauma Acute Care Surg Date: 2012-12 Impact factor: 3.313
Authors: Andrew J MacGregor; Amber L Dougherty; Edwin W D'Souza; Cameron T McCabe; Daniel J Crouch; James M Zouris; Jessica R Watrous; John J Fraser Journal: Qual Life Res Date: 2021-04-22 Impact factor: 4.147
Authors: Sarah E Dyer; J David Remer; Kelsey E Hannifin; Aishwarya Hombal; Joseph C Wenke; Thomas J Walters; George J Christ Journal: J Appl Physiol (1985) Date: 2022-01-06
Authors: Lusha Xiang; Alfredo S Calderon; Harold G Klemcke; Carmen Hinojosa-Laborde; Sandra C Becerra; Kathy L Ryan Journal: J Appl Physiol (1985) Date: 2022-08-25
Authors: Todd O McKinley; Roman M Natoli; James P Fischer; Jeffrey D Rytlewski; David C Scofield; Rashad Usmani; Alexander Kuzma; Kaitlyn S Griffin; Emily Jewell; Paul Childress; Karl D Shively; Tien-Min Gabriel Chu; Jeffrey O Anglen; Melissa A Kacena Journal: Mil Med Date: 2021-11-02 Impact factor: 1.437