Towards PErsonalised PRognosis for children with traumatic brain injury: the PEPR study protocol
Introduction Traumatic brain injury (TBI) in children can be associated with poor outcome in crucial functional domains, including motor, neurocognitive and behavioural functioning. However, outcome varies between patients and is mediated by complex interplay between demographic factors, premorbid f...
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BMJ Publishing Group
2022-06-01
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| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/12/6/e058975.full |
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| author | Jaap Oosterlaan Marsh Königs Job B M van Woensel Marc Engelen Marjan E Steenweg Petra J W Pouwels Cece C Kooper Hilgo Bruining Arne Popma Dennis R Buis Maayke Hunfeld |
| author_facet | Jaap Oosterlaan Marsh Königs Job B M van Woensel Marc Engelen Marjan E Steenweg Petra J W Pouwels Cece C Kooper Hilgo Bruining Arne Popma Dennis R Buis Maayke Hunfeld |
| author_sort | Jaap Oosterlaan |
| collection | DOAJ |
| description | Introduction Traumatic brain injury (TBI) in children can be associated with poor outcome in crucial functional domains, including motor, neurocognitive and behavioural functioning. However, outcome varies between patients and is mediated by complex interplay between demographic factors, premorbid functioning and (sub)acute clinical characteristics. At present, methods to understand let alone predict outcome on the basis of these variables are lacking, which contributes to unnecessary follow-up as well as undetected impairments in children. Therefore, this study aims to develop prognostic models for the individual outcome of children with TBI in a range of important developmental domains. In addition, the potential added value of advanced neuroimaging data and the use of machine learning algorithms in the development of prognostic models will be assessed.Methods and analysis 210 children aged 4–18 years diagnosed with mild-to-severe TBI will be prospectively recruited from a research network of Dutch hospitals. They will be matched 2:1 to a control group of neurologically healthy children (n=105). Predictors in the model will include demographic, premorbid and clinical measures prospectively registered from the TBI hospital admission onwards as well as MRI metrics assessed at 1 month post-injury. Outcome measures of the prognostic models are (1) motor functioning, (2) intelligence, (3) behavioural functioning and (4) school performance, all assessed at 6 months post-injury.Ethics and dissemination Ethics has been obtained from the Medical Ethical Board of the Amsterdam UMC (location AMC). Findings of our multicentre prospective study will enable clinicians to identify TBI children at risk and aim towards a personalised prognosis. Lastly, findings will be submitted for publication in open access, international and peer-reviewed journals.Trial registration number NL71283.018.19 and NL9051. |
| format | Article |
| id | doaj-art-e9856302d9574816b815afea4d8e39db |
| institution | Kabale University |
| issn | 2044-6055 |
| language | English |
| publishDate | 2022-06-01 |
| publisher | BMJ Publishing Group |
| record_format | Article |
| series | BMJ Open |
| spelling | doaj-art-e9856302d9574816b815afea4d8e39db2025-02-01T10:25:10ZengBMJ Publishing GroupBMJ Open2044-60552022-06-0112610.1136/bmjopen-2021-058975Towards PErsonalised PRognosis for children with traumatic brain injury: the PEPR study protocolJaap Oosterlaan0Marsh Königs1Job B M van Woensel2Marc Engelen3Marjan E Steenweg4Petra J W Pouwels5Cece C Kooper6Hilgo Bruining7Arne Popma8Dennis R Buis9Maayke Hunfeld10Department of Pediatrics, Emma Neuroscience Group, Emma Children’s Hospital, Amsterdam UMC location University of Amsterdam, Amsterdam, The NetherlandsDepartment of Pediatrics, Emma Neuroscience Group, Emma Children’s Hospital, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands1 Pediatric Intensive Care Unit, Emma Childrens Hospital, Amsterdam UMC, location AMC, Amsterdam, The Netherlands15 Department of Neurology and Pediatric Neurology, Emma Children’s Hospital/Academic Medical Center, Amsterdam, The NetherlandsDepartment of Pediatric Neurology, OLVG, Amsterdam, The NetherlandsDepartment of Radiology and Nuclear Medicine, Amsterdam UMC location Vrije Universiteit Amsterdam, Amsterdam, The NetherlandsDepartment of Pediatrics, Emma Neuroscience Group, Emma Children’s Hospital, Amsterdam UMC location University of Amsterdam, Amsterdam, The NetherlandsAmsterdam Reproduction and Development Research Institute, Amsterdam, The NetherlandsAmsterdam Reproduction and Development Research Institute, Amsterdam, The NetherlandsAmsterdam Reproduction and Development Research Institute, Amsterdam, The NetherlandsDepartment of Pediatric Neurology, Erasmus MC Sophia Children Hospital, Rotterdam, The NetherlandsIntroduction Traumatic brain injury (TBI) in children can be associated with poor outcome in crucial functional domains, including motor, neurocognitive and behavioural functioning. However, outcome varies between patients and is mediated by complex interplay between demographic factors, premorbid functioning and (sub)acute clinical characteristics. At present, methods to understand let alone predict outcome on the basis of these variables are lacking, which contributes to unnecessary follow-up as well as undetected impairments in children. Therefore, this study aims to develop prognostic models for the individual outcome of children with TBI in a range of important developmental domains. In addition, the potential added value of advanced neuroimaging data and the use of machine learning algorithms in the development of prognostic models will be assessed.Methods and analysis 210 children aged 4–18 years diagnosed with mild-to-severe TBI will be prospectively recruited from a research network of Dutch hospitals. They will be matched 2:1 to a control group of neurologically healthy children (n=105). Predictors in the model will include demographic, premorbid and clinical measures prospectively registered from the TBI hospital admission onwards as well as MRI metrics assessed at 1 month post-injury. Outcome measures of the prognostic models are (1) motor functioning, (2) intelligence, (3) behavioural functioning and (4) school performance, all assessed at 6 months post-injury.Ethics and dissemination Ethics has been obtained from the Medical Ethical Board of the Amsterdam UMC (location AMC). Findings of our multicentre prospective study will enable clinicians to identify TBI children at risk and aim towards a personalised prognosis. Lastly, findings will be submitted for publication in open access, international and peer-reviewed journals.Trial registration number NL71283.018.19 and NL9051.https://bmjopen.bmj.com/content/12/6/e058975.full |
| spellingShingle | Jaap Oosterlaan Marsh Königs Job B M van Woensel Marc Engelen Marjan E Steenweg Petra J W Pouwels Cece C Kooper Hilgo Bruining Arne Popma Dennis R Buis Maayke Hunfeld Towards PErsonalised PRognosis for children with traumatic brain injury: the PEPR study protocol BMJ Open |
| title | Towards PErsonalised PRognosis for children with traumatic brain injury: the PEPR study protocol |
| title_full | Towards PErsonalised PRognosis for children with traumatic brain injury: the PEPR study protocol |
| title_fullStr | Towards PErsonalised PRognosis for children with traumatic brain injury: the PEPR study protocol |
| title_full_unstemmed | Towards PErsonalised PRognosis for children with traumatic brain injury: the PEPR study protocol |
| title_short | Towards PErsonalised PRognosis for children with traumatic brain injury: the PEPR study protocol |
| title_sort | towards personalised prognosis for children with traumatic brain injury the pepr study protocol |
| url | https://bmjopen.bmj.com/content/12/6/e058975.full |
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