Greene Thomas J, DeSantis Stacia M, Fox Erin E, Wade Charles E, Holcomb John B, Swartz Michael D
Department of Biostatistics, School of Public Health, University of Texas Health Science Center at Houston, 1200 Pressler St, Houston, TX 77030.
Center for Translational Injury Research, University of Texas Health Science Center at Houston, 6410 Fannin St, Houston, TX 77030.
Mil Med. 2018 Mar 1;183(suppl_1):124-133. doi: 10.1093/milmed/usx137.
Recently, observational studies analyzing prehospital blood product transfusions (PHT) for trauma have become more widespread in both military and civilian communities. Due to these studies' non-random treatment assignment, propensity score (PS) methodologies are often used to determine an intervention's effectiveness. However, there are no guidelines on how to appropriately conduct PS analyses in prehospital studies. Such analyses are complicated when treatments are given in emergent settings as the ability to administer treatment early, often before hospital admission, can interfere with assumptions of PS modeling. This study conducts a systematic review of literature from military and civilian populations to assess current practice of PS methodology in PHT analyses. The decision-making process from the multicenter Prehospital Resuscitation on Helicopter Study (PROHS) is discussed and used as a motivating example. Results show that researchers often omit or incorrectly assess variable balance between treatment groups and include inappropriate variables in the propensity model. When used correctly, PS methodology is an effective statistical technique to show that aggressive en route resuscitation strategies, including PHT, can reduce mortality in individuals with severe trauma. This review provides guidelines for best practices in study design and analyses that will advance trauma care.
最近,分析创伤患者院前血液制品输注(PHT)的观察性研究在军事和 civilian 社区中都变得更加普遍。由于这些研究的非随机治疗分配,倾向评分(PS)方法经常被用来确定干预措施的有效性。然而,对于如何在院前研究中适当地进行 PS 分析,目前尚无指南。当在紧急情况下进行治疗时,此类分析会变得复杂,因为在医院入院前尽早进行治疗的能力可能会干扰 PS 建模的假设。本研究对来自军事和 civilian 人群的文献进行了系统综述,以评估 PHT 分析中 PS 方法的当前实践。多中心直升机院前复苏研究(PROHS)的决策过程将被讨论并用作一个激励性的例子。结果表明,研究人员经常忽略或错误评估治疗组之间的变量平衡,并在倾向模型中纳入不适当的变量。如果正确使用,PS 方法是一种有效的统计技术,可表明包括 PHT 在内的积极的途中复苏策略可以降低严重创伤患者的死亡率。本综述为研究设计和分析的最佳实践提供了指南,这将推动创伤护理的发展。 (注:原文中“civilian”未翻译完整,推测可能是“平民”等意思,你可根据实际情况补充完整。)