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Phenotyping the Spectrum of Traumatic Brain Injury: A Review and Pathway to Standardization.
Pugh, Mary Jo; Kennedy, Eamonn; Prager, Eric M; Humpherys, Jeffrey; Dams-O'Connor, Kristen; Hack, Dallas; McCafferty, Mary Katherine; Wolfe, Jessica; Yaffe, Kristine; McCrea, Michael; Ferguson, Adam R; Lancashire, Lee; Ghajar, Jamshid; Lumba-Brown, Angela.
Afiliación
  • Pugh MJ; Informatics, Decision-Enhancement and Analytic Sciences Center, VA Salt Lake City, Salt Lake City, Utah, USA.
  • Kennedy E; Department of Internal Medicine, Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, Utah, USA.
  • Prager EM; Informatics, Decision-Enhancement and Analytic Sciences Center, VA Salt Lake City, Salt Lake City, Utah, USA.
  • Humpherys J; Department of Internal Medicine, Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, Utah, USA.
  • Dams-O'Connor K; Cohen Veterans Bioscience, New York, New York, USA.
  • Hack D; Informatics, Decision-Enhancement and Analytic Sciences Center, VA Salt Lake City, Salt Lake City, Utah, USA.
  • McCafferty MK; Department of Internal Medicine, Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, Utah, USA.
  • Wolfe J; Department of Rehabilitation and Human Performance, Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Yaffe K; Cohen Veterans Bioscience, New York, New York, USA.
  • McCrea M; Informatics, Decision-Enhancement and Analytic Sciences Center, VA Salt Lake City, Salt Lake City, Utah, USA.
  • Ferguson AR; Department of Internal Medicine, Division of Epidemiology, University of Utah School of Medicine, Salt Lake City, Utah, USA.
  • Lancashire L; Cohen Veterans Bioscience, New York, New York, USA.
  • Ghajar J; Department of Neurology, University of California San Francisco, California, USA.
  • Lumba-Brown A; San Francisco Veterans Affairs Medical Center, San Francisco, California, USA.
J Neurotrauma ; 38(23): 3222-3234, 2021 12.
Article en En | MEDLINE | ID: mdl-33858210
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Automático / Lesiones Traumáticas del Encéfalo Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: J Neurotrauma Asunto de la revista: NEUROLOGIA / TRAUMATOLOGIA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aprendizaje Automático / Lesiones Traumáticas del Encéfalo Tipo de estudio: Diagnostic_studies Límite: Humans Idioma: En Revista: J Neurotrauma Asunto de la revista: NEUROLOGIA / TRAUMATOLOGIA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos