• Shock · Jul 2022

    Longitudinal analysis of transcriptomic subtypes in trauma patients.

    • Tianmeng Chen, Yue Wei, Yoram Vodovotz, Wei Chen, and Timothy R Billiar.
    • Department of Biostatistics, School of Public Health, University of Pittsburgh, Pennsylvania.
    • Shock. 2022 Jul 1; 58 (1): 343734-37.

    AbstractObjective: We previously identified two transcriptomic subtypes (Signature Groups: SG1 vs. SG2) in trauma patients at 12 hours postinjury, with SG1 associated with worse outcomes. In this study, we aimed to further characterize the changes in SG subtype categorization of trauma patients over time after injury and define the corresponding association with outcomes based on the timing of the subtype designation. Methods and Results: This study was a secondary analysis of published data of whole-blood leukocyte transcriptomics, a longitudinal data from 167 severe blunt trauma patients. We assigned trauma patients to SG1 or SG2 subtype for time points between 12 hours and 28 days, inclusive, postinjury and characterized their longitudinal outcomes. SG1 assignment, regardless of time point, was associated consistently with slower recovery. Further analysis revealed that additional prognostic information could be obtained by assessing SG subtype at both 12 hours and 1 day. Conclusions: This study provides a proof of concept that immune status can worsen after admission and highlights the benefit of longitudinally monitoring SG subtypes in trauma patients.Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the Shock Society.

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