Rocky Vista University College of Osteopathic Medicine, Parker, Colorado; San Antonio Uniformed Services Health Education Consortium, San Antonio, Texas.
Rocky Vista University College of Osteopathic Medicine, Parker, Colorado; San Antonio Uniformed Services Health Education Consortium, San Antonio, Texas.
J Surg Res. 2024 Oct;302:533-539. doi: 10.1016/j.jss.2024.07.034. Epub 2024 Aug 22.
Surgeons and military personnel are subjected to high-stress scenarios, which leads to greater rates of burnout. There is room to optimize performance and longevity in these careers by better understanding the body's stress response and applying it to stress management training. This study aims to understand the physiological response in those engaged in trauma scenarios by examining 6 hormones and 42 cytokines during the Intensive Surgical and Trauma Skills Course held at Strategic Operations Inc in San Diego, CA.
Thirty-seven military medical students participated in full immersion, hyper-realistic, and experiential mass casualty high-stress scenarios. Participants were exposed to both operating and emergency room scenarios. Saliva samples were taken after stress inoculation (postinoculation) and again 1 hr after each scenario (recovery). Saliva samples were analyzed using plex assays from Eve Technologies. Data were grouped and analyzed by location and timing using mixed effect nonlinear models. Distributions were compared by location and were analyzed with respect to biomarker levels over the 4-day training period.
For emergency room scenarios, there was a decrease in the following cytokines from postinoculation to recovery: epidermal growth factor (EGF), granulocyte colony stimulating factor (G-CSF), epidermal growth factor, granulocyte colony stimulating factor, interleukin 1alpha (IL-1α), interleukin 1beta (IL-1 β), IL-1RA, IL-4, IL-8, IL-10, IL-18, monocyte chemotactic protein (MCP) 1, macrophage colony stimulating factor (M-CSF), macrophage derived chemokine (MDC), CXC motif ligand 9 (MIG/CXCL9), regulated upon activation, normal T cell expressed and secreted (RANTES), and vascular endothelial growth factor (P < 0.05, t > 3.0). For operating room scenarios, there was a decrease in the following cytokines: EGF, G-CSF, IL-1α, IL-1 β, IL-1RA, IL-6, IL-8, IL-10, IL-18, M-CSF, MDC, MIG/CXCL9, RANTES, and tumor necrosis factor alpha. In operating room scenarios, an increase in the hormone levels of progesterone and triodothyronine were observed. The cytokines observed in both groups included EGF, IL-1α, RANTES, MDC, EGF, G-CSF, IL-1RA, IL-18, MIG/CXCL9, IL-8, IL-1β, M-CSF, and IL-10. These significant biomarkers were also graphed and visualized as variable throughout the week.
These preliminary data narrow a wide array of stress biomarkers to a smaller, significant group. Surgeons and military personnel are subjected to extraordinary levels of stress with narrow margins for error. To optimize performance and outcomes, it is pertinent to understand the physiological stress response. Future investigation and pairing of cytokine measurements with neuropsychological and performance-based testing will target opportunities to direct training and identify profiles of individuals well suited for stressful environments.
外科医生和军人经常处于高压力的环境中,这导致他们的 burnout 率更高。通过更好地了解身体的应激反应并将其应用于应激管理培训,这些职业在提高绩效和延长职业寿命方面有很大的提升空间。本研究旨在通过检查在加利福尼亚州圣地亚哥的战略运营公司举行的强化外科和创伤技能课程期间的 6 种激素和 42 种细胞因子,了解从事创伤场景的人员的生理反应。
37 名军事医学学生参加了沉浸式、超现实和体验式大规模伤亡高压力场景。参与者接触了手术和急诊室场景。在应激接种后(接种后)和每个场景后 1 小时(恢复)采集唾液样本。使用 Eve 技术公司的 plex 检测试剂盒分析唾液样本。通过混合效应非线性模型按地点和时间对数据进行分组和分析。通过地点比较分布,并分析了 4 天培训期间的生物标志物水平。
对于急诊室场景,从接种后到恢复时,以下细胞因子水平下降:表皮生长因子(EGF)、粒细胞集落刺激因子(G-CSF)、白细胞介素 1α(IL-1α)、白细胞介素 1β(IL-1β)、白细胞介素 1 受体拮抗剂(IL-1RA)、白细胞介素 4(IL-4)、白细胞介素 8(IL-8)、白细胞介素 10(IL-10)、白细胞介素 18(IL-18)、单核细胞趋化蛋白 1(MCP-1)、巨噬细胞集落刺激因子(M-CSF)、巨噬细胞来源的趋化因子(MDC)、CXC 基序配体 9(MIG/CXCL9)、调节激活正常 T 细胞表达和分泌(RANTES)和血管内皮生长因子(VEGF)(P<0.05,t>3.0)。对于手术室场景,以下细胞因子水平下降:EGF、G-CSF、IL-1α、IL-1β、IL-1RA、IL-6、IL-8、IL-10、IL-18、M-CSF、MDC、MIG/CXCL9、RANTES 和肿瘤坏死因子-α。在手术室场景中,观察到激素孕酮和三碘甲状腺原氨酸水平升高。在两组中观察到的细胞因子包括 EGF、IL-1α、RANTES、MDC、EGF、G-CSF、IL-1RA、IL-18、MIG/CXCL9、IL-8、IL-1β、M-CSF 和 IL-10。这些显著的生物标志物也被绘制成图,并在整个星期内作为变量可视化。
这些初步数据将广泛的应激生物标志物缩小到一个更小但更显著的群体。外科医生和军人经常面临巨大的压力,容错率很低。为了优化绩效和结果,了解生理应激反应至关重要。未来的研究和细胞因子测量与神经心理学和基于表现的测试相结合,将针对培训机会和识别适合压力环境的个体特征。