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Paediatric traumatic brain injury: prognostic insights and outlooks
Alicia K Au1, Robert S B Clark
1aDepartment of Critical Care Medicine bDepartment of Pediatrics, Safar Center for Resuscitation Research and the Children's Hospital of Pittsburgh of UPMC, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Insights
Predicting outcomes after pediatric traumatic brain injury (TBI) is complex. Multimodal models integrating biomarkers and neuromonitoring are crucial for accurate prognosis in children with TBI.
Area of Science:
- Pediatric neurology
- Neurotraumatology
- Biomarker research
Background:
- Traumatic brain injury (TBI) is a major cause of childhood death and disability.
- Assessing outcomes in pediatric TBI is challenging due to the developing brain.
Purpose of the Study:
- To review injury characteristics, physiological indicators, biomarkers, and neuromonitoring modalities predictive of outcome in pediatric TBI.
- To highlight components for developing accurate prognostic models for childhood TBI.
Main Methods:
- Review of existing literature on pediatric TBI prognostication.
- Identification of key predictive factors including biomarkers and neuromonitoring techniques.
Main Results:
- Paediatric TBI leads to significant physical, psychosocial, and neurocognitive deficits.
- Novel biomarkers (neuronal, astroglial, myelin, inflammatory, apoptotic, autophagic) and neuromonitoring (EEG, MRI) aid prognostication.
- Future research should focus on combinatorial biomarkers and mathematical models for multivariable prediction.
Conclusions:
- Outcome prediction in pediatric TBI is multidimensional, influenced by injury severity, age, physiology, biomarkers, and neuroimaging.
- Development and validation of integrated prognostic algorithms are essential for improving accuracy and timeliness.
Purpose Of Review:
Traumatic brain injury (TBI) is a leading cause of death and disability in children. Prognostication of outcome following TBI is challenging in this population and likely requires complex, multimodal models to achieve clinically relevant accuracy. This review highlights injury characteristics, physiological indicators, biomarkers and neuromonitoring modalities predictive of outcome that may be integrated for future development of sensitive and specific prognostic models.
Recent Findings:
Paediatric TBI is responsible for physical, psychosocial and neurocognitive deficits that may significantly impact quality of life. Outcome prognostication can be difficult in the immature brain, but is aided by the identification of novel biomarkers (neuronal, astroglial, myelin, inflammatory, apoptotic and autophagic) and neuromonitoring techniques (electroencephalogram and MRI). Investigation in the future may focus on assessing the prognostic ability of combinations of biochemical, protein, neuroimaging and functional biomarkers and the use of mathematical models to develop multivariable predication tools to improve the prognostic ability following childhood TBI.
Summary:
Prognostication of outcome following paediatric TBI is multidimensional, influenced by injury severity, age, physiological factors, biomarkers, electroencephalogram and neuroimaging. Further development, integration and validation of combinatorial prognostic algorithms are necessary to improve the accuracy and timeliness of prognosis in a meaningful fashion.
