Phenotyping the Spectrum of Traumatic Brain Injury: A Review and Pathway to Standardization
| Autor: | Jamshid Ghajar, Lee Lancashire, Jeffrey Humpherys, Eric M. Prager, Adam R. Ferguson, Angela Lumba-Brown, Kristine Yaffe, Dallas Hack, Eamonn Kennedy, Mary Katherine McCafferty, Michael McCrea, Mary Jo Pugh, Kristen Dams-O'Connor, Jessica Wolfe |
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| Rok vydání: | 2021 |
| Předmět: |
030506 rehabilitation
Standardization Human studies Traumatic brain injury business.industry Reference Standards medicine.disease Machine Learning 03 medical and health sciences 0302 clinical medicine Phenotype nervous system Meta-analysis Concussion Brain Injuries Traumatic medicine Humans Neurology (clinical) State of the science 0305 other medical science business Brain trauma Neuroscience 030217 neurology & neurosurgery |
| Zdroj: | Journal of neurotrauma. 38(23) |
| ISSN: | 1557-9042 |
| Popis: | It is widely appreciated that the spectrum of traumatic brain injury (TBI), mild through severe, contains distinct clinical presentations, variably referred to as subtypes, phenotypes, and/or clinical profiles. As part of the Brain Trauma Blueprint TBI State of the Science, we review the current literature on TBI phenotyping with an emphasis on unsupervised methodological approaches, and describe five phenotypes that appear similar across reports. However, we also find the literature contains divergent analysis strategies, inclusion criteria, findings, and use of terms. Further, whereas some studies delineate phenotypes within a specific severity of TBI, others derive phenotypes across the full spectrum of severity. Together, these facts confound direct synthesis of the findings. To overcome this, we introduce PhenoBench, a freely available code repository for the standardization and evaluation of raw phenotyping data. With this review and toolset, we provide a pathway toward robust, data-driven phenotypes that can capture the heterogeneity of TBI, enabling reproducible insights and targeted care. |
| Databáze: | OpenAIRE |
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