A conceptual time window-based model for the early stratification of trauma patients

A. J. Lamparello, R. A. Namas, G. Constantine, T. O. McKinley, E. Elster, Y. Vodovotz, T. R. Billiar*

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

20 Scopus citations

Abstract

Progress in the testing of therapies targeting the immune response following trauma, a leading cause of morbidity and mortality worldwide, has been slow. We propose that the design of interventional trials in trauma would benefit from a scheme or platform that could support the identification and implementation of prognostic strategies for patient stratification. Here, we propose a stratification scheme based on defined time periods or windows following the traumatic event. This ‘time-window’ model allows for the incorporation of prognostic variables ranging from circulating biomarkers and clinical data to patient-specific information such as gene variants to predict adverse short- or long-term outcomes. A number of circulating biomarkers, including cell injury markers and damage-associated molecular patterns (DAMPs), and inflammatory mediators have been shown to correlate with adverse outcomes after trauma. Likewise, several single nucleotide polymorphisms (SNPs) associate with complications or death in trauma patients. This review summarizes the status of our understanding of the prognostic value of these classes of variables in predicting outcomes in trauma patients. Strategies for the incorporation of these prognostic variables into schemes designed to stratify trauma patients, such as our time-window model, are also discussed.

Original languageEnglish
Pages (from-to)2-15
Number of pages14
JournalJournal of Internal Medicine
Volume286
Issue number1
DOIs
StatePublished - Jul 2019
Externally publishedYes

Keywords

  • DAMPs
  • biomarkers
  • chemokines
  • cytokines
  • endothelial markers
  • polytrauma
  • prognosticators
  • single nucleotide polymorphisms

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