| Literature DB >> 33947273 |
Juliet Haarbauer-Krupa1, Mary Jo Pugh2,3, Eric M Prager4, Nicole Harmon4, Jessica Wolfe4, Kristine Yaffe5,6,7.
Abstract
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.Entities:
Keywords: clinical trial designs; epidemiology; patient selection criteria; traumatic brain injury
Mesh:
Year: 2021 PMID: 33947273 PMCID: PMC9122127 DOI: 10.1089/neu.2021.0062
Source DB: PubMed Journal: J Neurotrauma ISSN: 0897-7151 Impact factor: 4.869
Actionable Research Opportunities for Epidemiological Studies in TBI
| Roadmap: Opportunities for next steps | Action |
|---|---|
| Consider how injury severity, mechanism of injury, age, and lifetime TBI history could influence chronic outcomes. |
Develop taxonomy of TBI based on biological impact, disease mechanism, and/or longitudinal course, rather than on injury severity. Consider how population characteristics affect the etiology of the course and outcome of TBI. |
| Consider how epidemiological factors contribute to patient diagnosis and heterogeneity. |
Identify putative areas of interventional investigation around the presence of comorbid conditions, which suggests the potential for a shared underlying biology. Consider the opportunities and challenges of patients who present with multiple health conditions in future clinical trials’ inclusion and exclusion criteria. Develop longitudinal studies in diverse populations (e.g., pediatric, military, sports, and elderly) and identify outcome trajectories and differences in the mechanisms of injury. |
| Leverage new approaches for data collection. |
Identify new approaches for data collection in clinical care settings, including the type of care received, use of wearable devices, and methods (e.g., machine learning, artificial intelligence) to analyze the complex data and understand persons at risk for phenotypes representing poor outcomes. |
| Build a national TBI registry to enable monitoring of trends in health, resources, allocation, and priority setting; ensure better data collection; and establish best practices for intervention timeliness, monitoring, and evaluation. |
Develop a database or registry (similar to TBI Model Systems) that follows persons over time. Ensure that the registry follows all severities of TBI, how patients were enrolled, and tools to track those with mild injuries or those who did not receive rehabilitation services. |
TBI, traumatic brain injury.