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Active (not recruiting) NCT07538440

Prognostic Model for Predicting Outcome After Moderate to Severe Paediatric Traumatic Brain Injury

Conditions: Traumatic Brain Injury (TBI)

Sponsor: Cambridge University Hospitals NHS Foundation Trust

trial.available_in: БГ
Overview
Due to ethical and logistical challenges related to paediatric research, there is limited age-appropriate evidence for managing paediatric traumatic brain injury (pTBI). The prognostic models used for adult TBI research (IMPACT, CRASH), have been derived and validated from analysis of large international datasets which have undergone further validation in multiple prospective studies; the wide use of these prognostic models across neurotrauma research highlights the relative simplicity and the variables used for prediction making them applicable to both low and high resource set-ups. This has facilitated international collaborative research in adult TBI. At present, no such models exist for pTBI with most paediatric research continuing to use adult prognostic models. Though the variables used for these models show association with outcome in pTBI as well, there are multiple issues with this approach with the key difficulty being that younger age is expected to be associated with better outcome in these models; however, the balance between neuroplasticity and neurodevelopmental trajectory in children is difficult to predict with evidence suggesting worse neuro-developmental outcomes after TBI in younger children. Hence the adult models can either over- or under-predict neurological outcomes in pTBI and have never been validated in pTBI datasets. Given that the amount of data required to create pTBI predictive model is difficult to collect and reasonable validity of adult prognostic models in pTBI, investigators propose to create paediatric modification to the adult models and identify a robust pTBI predictive model for improved classification of injury severity to predict disease trajectory and outcome as well as stratification of patients for interventional research and benchmarking in pTBI to help with appropriate resource allocation for neuro-interventions towards improved outcomes. This will help identify age-appropriate benchmarks for pTBI research studies as well as complement an individual child's clinical assessment, treatment decisions, informing families and resource allocation.
Description
1. Background The healthcare, societal and economic impact from paediatric traumatic brain injury (pTBI) is one of the greatest unmet needs with estimates suggesting upto 2/3rd of survivors developing life-long neurological deficits. Due to ethical and logistical challenges related to paediatric research, there is limited age-appropriate evidence for children which perpetuates the funding gaps further confounding the lack of evidence. However, extrapolation of adult TBI research evidence to children is inaccurate and inappropriate given the differences in mechanisms and patterns of injury, pathophysiological responses and neurological recovery from it, in the context of developmental trajectory; hence, robust evidence is required to improve outcomes from pTBI as well as facilitate research collaborations. The prognostic models used for adult TBI research (IMPACT, CRASH)5,6 and imaging criteria (Marshall and Rotterdam scores), have been derived and validated from analysis of large international datasets which have undergone further validation in multiple prospective studies; the wide use of these prognostic models across neurotrauma research highlights the relative simplicity and the variables used for prediction making them applicable to both low and high resource set-ups. This has facilitated international collaborative research in adult TBI; however, no such models exist for pTBI with most pTBI research continuing to use adult prognostic models. Though the variables used for these models show association with outcome in pTBI as well, there are multiple issues with this approach with the key difficulty being the age variable. In the adult models, the younger age is expected to be associated with better outcome; for CRASH, the model is likely weighed heavily towards non-age variables as the younger patients are expected to do better with patients between 18-40 lumped as \<40 years and for IMPACT, slightly better which accounts for 14 years and above. However, the balance between neuroplasticity and neurodevelopmental trajectory in paediatric age group is difficult to predict with evidence suggesting worse neuro-developmental outcomes after TBI in younger children. Hence the adult models can either over- or under-predict neurological outcomes in pTBI and have never been validated in pTBI datasets. 2. Rationale \& Theoretical Framework A validated predictive model for pTBI would be the first step towards collaborative research and identifying age-appropriate benchmarks for pTBI research studies as well as to complement an individual child's clinical assessment, treatment decisions, informing families and resource allocation. Given that the amount of data required to create pTBI predictive model is difficult to collect and the reasonable validity of adult prognostic models in pTBI, albeit in small single-centre studies, investigators propose to create paediatric modification to the adult models and identify a robust pTBI predictive model
Who can participate
Inclusion Criteria: * Patients admitted to hospital with moderate to severe TBI Exclusion Criteria: * None
Locations 1
United Kingdom (1)
Hospital
Cambridge , Cambridgeshire
Technical details
Status
Active (not recruiting)
Study type
OBSERVATIONAL
Sex
Male and female
Maximum age
18 Years
Healthy volunteers
No
Start date
01.07.2025
Completion date
01.12.2026
Registry ID
NCT07538440
Source
clinicaltrials.gov
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