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Rigshospitalet - a part of Copenhagen University Hospital
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Biomarkers for Traumatic Brain Injury: Data Standards and Statistical Considerations

Research output: Contribution to journalJournal articleResearchpeer-review

DOI

  1. Questionnaires vs Interviews for the Assessment of Global Functional Outcomes After Traumatic Brain Injury

    Research output: Contribution to journalJournal articleResearchpeer-review

  2. Nærdødsoplevelser

    Research output: Contribution to journalJournal articleResearchpeer-review

  3. Occurrence and timing of withdrawal of life-sustaining measures in traumatic brain injury patients: a CENTER-TBI study

    Research output: Contribution to journalJournal articleResearchpeer-review

  • J Russell Huie
  • Stefania Mondello
  • Christopher J Lindsell
  • Luca Antiga
  • Esther L Yuh
  • Elisa R Zanier
  • Serge Masson
  • Bedda L Rosario
  • Adam R Ferguson
  • Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) Investigators, The Transforming Research and Clinical Knowledge in Traumatic Brain Injury (TRACK-TBI) Investigators, Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) Participants and Investigators, Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) Participants and Investigators
  • Daniel Kondziella (Member of study group)
  • Martin Ejler Fabricius (Member of study group)
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Recent biomarker innovations hold potential for transforming diagnosis, prognostic modeling, and precision therapeutic targeting of traumatic brain injury (TBI). However, many biomarkers, including brain imaging, genomics, and proteomics, involve vast quantities of high-throughput and high-content data. Management, curation, analysis, and evidence synthesis of these data are not trivial tasks. In this review, we discuss data management concepts and statistical and data sharing strategies when dealing with biomarker data in the context of TBI research. We propose that application of biomarkers involves three distinct steps-discovery, evaluation, and evidence synthesis. First, complex/big data has to be reduced to useful data elements at the stage of biomarker discovery. Second, inferential statistical approaches must be applied to these biomarker data elements for assessment of biomarker clinical utility and validity. Last, synthesis of relevant research is required to support practice guidelines and enable health decisions informed by the highest quality, up-to-date evidence available. We focus our discussion around recent experiences from the International Traumatic Brain Injury Research (InTBIR) initiative, with a specific focus on four major clinical projects (Transforming Research and Clinical Knowledge in TBI, Collaborative European NeuroTrauma Effectiveness Research in TBI, Collaborative Research on Acute Traumatic Brain Injury in Intensive Care Medicine in Europe, and Approaches and Decisions in Acute Pediatric TBI Trial), which are currently enrolling subjects in North America and Europe. We discuss common data elements, data collection efforts, data-sharing opportunities, and challenges, as well as examine the statistical techniques required to realize successful adoption and use of biomarkers in the clinic as a foundation for precision medicine in TBI.

Original languageEnglish
JournalJournal of Neurotrauma
Volume38
Issue number18
Pages (from-to)2514-2529
Number of pages16
ISSN0897-7151
DOIs
Publication statusPublished - 15 Sep 2021

    Research areas

  • biomarkers, data sharing, traumatic brain injury

ID: 61292165