ArticleJournal of personalized medicine2021
Individualized Prognostic Prediction of the Long-Term Functional Trajectory in Pediatric Acquired Brain Injury.
Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Imaging Evaluation to Determine the Timing of Early Rehabilitation in Pediatric Non-Traumatic Acquired Brain Injury: A Case Report.Brain & NeuroRehabilitation · 2026Article
- Utility of Early Magnetic Resonance Imaging to Enhance Outcome Prediction in Critically Ill Children with Severe Traumatic Brain Injury.Neurocritical care · 2024Article
- Hormonal Dysfunction in Paediatric Patients Admitted to Rehabilitation for Severe Traumatic Brain Injury: Analysis of the Associations with Rehabilitation Outcomes.Children (Basel, Switzerland) · 2024Article
- Gross motor proficiency deficits among children and adolescents post posterior fossa brain tumor removal vs. traumatic brain injury in the chronic phase of recovery: a cross-sectional study.Frontiers in sports and active living · 2024Article
- Long-Term Vocational Outcome at 15 Years from Severe Traumatic and Non-Traumatic Brain Injury in Pediatric Age.Brain sciences · 2023Article
- Review
- Emerging Treatments for Disorders of Consciousness in Paediatric Age.Brain sciences · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
In pediatric acquired brain injury, heterogeneity of functional response to specific rehabilitation treatments is a key confound to medical decisions and outcome prediction. We aimed to identify patient subgroups sharing comparable trajectories, and to implement a method for the early prediction of the long-term recovery course from clinical condition at first discharge. 600 consecutive patients with acquired brain injury (7.4 years ± 5.2; 367 males; median GCS = 6) entered a standardized rehabilitation program. Functional Independent Measure scores were measured yearly, until year 7. We classified the functional trajectories in clusters, through a latent class model. We performed single-subject prediction of trajectory membership in cases unseen during model fitting. Four trajectory types were identified (post.prob. > 0.95): high-start fast (
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Registered trials
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