Medical Modeling, Simulation, and Mission Support Department, Naval Health Research Center, San Diego, California, United States of America.
Leidos, Inc., San Diego, California, United States of America.
PLoS One. 2022 Apr 6;17(4):e0266588. doi: 10.1371/journal.pone.0266588. eCollection 2022.
The U.S. military conflicts in Iraq and Afghanistan had the most casualties since Vietnam with more than 53,000 wounded in action. Novel injury mechanisms, such as improvised explosive devices, and higher rates of survivability compared with previous wars led to a new pattern of combat injuries. The purpose of the present study was to use latent class analysis (LCA) to identify combat injury profiles among U.S. military personnel who survived serious wounds.
A total of 5,227 combat casualty events with an Injury Severity Score (ISS) of 9 or greater that occurred in Iraq and Afghanistan from December 2002 to July 2019 were identified from the Expeditionary Medical Encounter Database for analysis. The Barell Injury Diagnosis Matrix was used to classify injuries into binary variables by site and type of injury. LCA was employed to identify injury profiles that accounted for co-occurring injuries. Injury profiles were described and compared by demographic, operational, and injury-specific variables.
Seven injury profiles were identified and defined as: (1) open wounds (18.8%), (2) Type 1 traumatic brain injury (TBI)/facial injuries (14.2%), (3) disseminated injuries (6.8%), (4) Type 2 TBI (15.4%), (5) lower extremity injuries (19.8%), (6) burns (7.4%), and (7) chest and/or abdominal injuries (17.7%). Profiles differed by service branch, combat location, year of injury, injury mechanism, combat posture at the time of injury, and ISS.
LCA identified seven distinct and interpretable injury profiles among U.S. military personnel who survived serious combat injuries in Iraq or Afghanistan. These findings may be of interest to military medical planners as resource needs are evaluated and projected for future conflicts, and medical professionals involved in the rehabilitation of wounded service members.
自越南战争以来,美国在伊拉克和阿富汗的军事冲突中伤亡人数最多,有超过 53000 人在战斗中受伤。新颖的伤害机制,如简易爆炸装置,以及与以往战争相比更高的存活率,导致了一种新的战斗伤害模式。本研究的目的是使用潜在类别分析(LCA)来识别在严重伤口中幸存下来的美国军事人员的战斗伤害情况。
从 2002 年 12 月至 2019 年 7 月,在伊拉克和阿富汗发生的 5227 起伤害严重程度评分(ISS)为 9 或更高的战斗伤亡事件,从远征医疗遭遇数据库中确定用于分析。使用 Barell 伤害诊断矩阵,通过部位和伤害类型将伤害分类为二进制变量。采用潜在类别分析(LCA)识别可解释共同发生伤害的伤害情况。描述并比较伤害情况,包括人口统计学、操作和伤害特异性变量。
确定了七种伤害情况,分别为:(1)开放性伤口(18.8%)、(2)1 型创伤性脑损伤(TBI)/面部损伤(14.2%)、(3)弥散性损伤(6.8%)、(4)2 型 TBI(15.4%)、(5)下肢损伤(19.8%)、(6)烧伤(7.4%)和(7)胸部和/或腹部损伤(17.7%)。不同的伤害情况与兵种、战斗地点、受伤年份、伤害机制、受伤时的战斗姿势和 ISS 有关。
LCA 在在伊拉克或阿富汗幸存严重战斗伤害的美国军人中确定了七种不同且可解释的伤害情况。这些发现可能会引起军事医疗规划者的兴趣,因为需要评估和预测未来冲突的资源需求,以及参与受伤服务成员康复的医疗专业人员。