Peters Matthew E, Rao Vani, Bechtold Kathleen T, Roy Durga, Sair Haris I, Leoutsakos Jeannie-Marie, Diaz-Arrastia Ramon, Stevens Robert D, Batty D Scott, Falk Hayley, Fernandez Christopher, Ofoche Uju, Vassila Alexandra, Hall Anna J, Anderson Braden, Bessman Edward, Lyketsos Constantine G, Everett Allen D, Van Eyk Jennifer, Korley Frederick K
a Johns Hopkins University School of Medicine , Baltimore , MD , USA.
b Uniformed Services University of the Health Sciences , Bethesda , MD , USA.
Brain Inj. 2017;31(3):370-378. doi: 10.1080/02699052.2016.1231344. Epub 2017 Jan 31.
Accurate diagnosis and risk stratification of traumatic brain injury (TBI) at time of presentation remains a clinical challenge. The Head Injury Serum Markers for Assessing Response to Trauma study (HeadSMART) aims to examine blood-based biomarkers for diagnosing and determining prognosis in TBI.
HeadSMART is a 6-month prospective cohort study comparing emergency department patients evaluated for TBI (exposure group) to (1) emergency department patients evaluated for traumatic injury without head trauma and (2) healthy persons. Study methods and characteristics of the first 300 exposure participants are discussed.
Of the first 300 participants in the exposure arm, 70% met the American Congress of Rehabilitation Medicine criteria for TBI, with the majority (80.1%) classified as mild TBI. The majority of subjects in the exposure arm had Glasgow Coma Scale scores of 13-15 (98.0%), normal head computed tomography (81.3%) and no prior history of concussion (71.7%).
With systematic phenotyping, HeadSMART will facilitate diagnosis and risk-stratification of the heterogeneous group of individuals currently diagnosed with TBI.
创伤性脑损伤(TBI)在就诊时的准确诊断和风险分层仍然是一项临床挑战。用于评估创伤反应的头部损伤血清标志物研究(HeadSMART)旨在研究用于诊断和确定TBI预后的血液生物标志物。
HeadSMART是一项为期6个月的前瞻性队列研究,将因TBI接受评估的急诊科患者(暴露组)与(1)因创伤性损伤而非头部创伤接受评估的急诊科患者以及(2)健康人进行比较。讨论了前300名暴露参与者的研究方法和特征。
在暴露组的前300名参与者中,70%符合美国康复医学学会的TBI标准,大多数(80.1%)被归类为轻度TBI。暴露组中的大多数受试者格拉斯哥昏迷量表评分为13 - 15分(98.0%),头部计算机断层扫描正常(81.3%)且无前驱脑震荡史(71.7%)。
通过系统的表型分析,HeadSMART将有助于对目前诊断为TBI的异质性个体群体进行诊断和风险分层。