Epidemiology of Chronic Effects of Traumatic Brain Injury.

Epidemiology of Chronic Effects of Traumatic Brain Injury.
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DOI:
10.1089/neu.2021.0062
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发表时间:
2021-12
影响因子:
4.2
通讯作者:
Yaffe, Kristine
Yaffe, Kristine
中科院分区:
医学2区
文献类型:
--
作者:
Haarbauer-Krupa, Juliet;Pugh, Mary Jo;Prager, Eric M.;Harmon, Nicole;Wolfe, Jessica;Yaffe, Kristine

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虽然许多被诊断为创伤性脑损伤(TBI)的患者,特别是轻度脑损伤患者,在几周内就会从症状中恢复过来,但有一小部分人会出现在受伤后持续数月或数年的症状,并对患者及其家人的生活质量产生重大影响。与创伤性脑损伤负性结局可能性增加相关的因素不仅包括损伤和损伤机制的特征,还包括患者的年龄、损伤前状态、合并情况、环境和恢复能力倾向。在这篇文章中,作为脑创伤蓝图:脑损伤科学现状框架的一部分,我们研究了脑损伤的长期结果的流行病学,包括发病率、患病率和危险因素。我们认识到需要增加对发病率、恢复率和治疗的纵向、全球性、标准化和有效性评估,以及对遗传、种族、民族、性别和环境对脑外伤预后的影响的标准化评估。通过确定流行病学因素如何影响不同人群的脑外伤结局并潜在地影响不同疾病的进展,我们可以指导研究人员和临床医生进行更精确的患者诊断,以及量身定制的管理,并改进临床试验设计、数据评估和患者选择标准。
Although many patients diagnosed with traumatic brain injury (TBI), particularly mild TBI, recover from their symptoms within a few weeks, a small but meaningful subset experience symptoms that persist for months or years after injury and significantly impact quality of life for the person and their family. Factors associated with an increased likelihood of negative TBI outcomes include not only characteristics of the injury and injury mechanism, but also the person’s age, pre-injury status, comorbid conditions, environment, and propensity for resilience. In this article, as part of the Brain Trauma Blueprint: TBI State of the Science framework, we examine the epidemiology of long-term outcomes of TBI, including incidence, prevalence, and risk factors. We identify the need for increased longitudinal, global, standardized, and validated assessments on incidence, recovery, and treatments, as well as standardized assessments of the influence of genetics, race, ethnicity, sex, and environment on TBI outcomes. By identifying how epidemiological factors contribute to TBI outcomes in different groups of persons and potentially impact differential disease progression, we can guide investigators and clinicians toward more-precise patient diagnosis, along with tailored management, and improve clinical trial designs, data evaluation, and patient selection criteria.
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