Assessing the prediction potential of an in silico computer model of intracranial pressure dynamics*

Wakeland, Wayne W.; Agbeko, Rachel; Vinecore, Kevin; Peters, Mark; Goldstein, Brahm

doi:10.1097/ccm.0b013e31819b629d

Cited by 18 publications

(1 citation statement)

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“…Models developed by Ursino and his team included multiple aspects of cerebral autoregulation, calibrated with data from a prospective study in which patients were given mild ventilation challenges (Ursino et al, 2000), and showed excellent prediction potential. Wakeland et al (2009) also calibrated a systems dynamics ICP model on patient data collected prospectively for pediatric TBI patients. In this model, patients were given mild physiologic challenges (raising or lowering the head of the bed or moderately adjusting ventilator settings) at multiple time points, but results revealed inadequate clinical prediction capability due to patient responses to a dramatically varying stimulus.…”

Section: Acute Injury Mechanismsmentioning

confidence: 99%

System dynamics modeling for traumatic brain injury: Mini-review of applications

Kenzie

Parks

Carney

et al. 2022

Front. Bioeng. Biotechnol.

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Traumatic brain injury (TBI) is a highly complex phenomenon involving a cascade of disruptions across biomechanical, neurochemical, neurological, cognitive, emotional, and social systems. Researchers and clinicians urgently need a rigorous conceptualization of brain injury that encompasses nonlinear and mutually causal relations among the factors involved, as well as sources of individual variation in recovery trajectories. System dynamics, an approach from systems science, has been used for decades in fields such as management and ecology to model nonlinear feedback dynamics in complex systems. In this mini-review, we summarize some recent uses of this approach to better understand acute injury mechanisms, recovery dynamics, and care delivery for TBI. We conclude that diagram-based approaches like causal-loop diagramming have the potential to support the development of a shared paradigm of TBI that incorporates social support aspects of recovery. When developed using adequate data from large-scale studies, simulation modeling presents opportunities for improving individualized treatment and care delivery.

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Section: Acute Injury Mechanismsmentioning

confidence: 99%