The CBI-M framework for characterization of traumatic brain injury: Evaluation of performance using data from the CENTER-TBI and TRACK-TBI prospective cohort studies
by Dana Pisică, Ana Mikolić, John K. Yue, Michael A. McCrea, Kristen Dams-O’Connor, Véronique De Keyser, Sonia Jain, Amy J. Markowitz, David K. Menon, Virginia Newcombe, Ewout W. Steyerberg, Xiaoying Sun, Hester F. Lingsma, Geoffrey T. Manley, Andrew I. R. Maas, on behalf of the CENTER-TBI and TRACK-TBI Investigators Background The CBI-M Framework, incorporating Clinical, Biomarker, Imaging, and…
The CBI-M Framework, which integrates Clinical, Biomarker, Imaging, and Modifier pillars, was evaluated for its performance in characterizing patients with acute traumatic brain injury (TBI) using data from the CENTER-TBI and TRACK-TBI prospective cohort studies. The study found that the full CBI-M model achieved excellent discrimination in predicting key clinical endpoints, including diagnosis, care pathways, and outcomes at 6 months post-injury.
The Biomarker and Imaging pillars were most influential in predicting CT-defined abnormalities and major cranial surgery, respectively, while the full CBI-M model showed stronger associations with 6-month mortality and unfavorable outcomes compared to established prediction models IMPACT-Lab and CRASH-CT.
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