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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...

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Autores principales: Kooper, Cece C, Oosterlaan, Jaap, Bruining, Hilgo, Engelen, Marc, Pouwels, Petra J W, Popma, Arne, van Woensel, Job B M, Buis, Dennis R, Steenweg, Marjan E, Hunfeld, Maayke, Königs, Marsh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9244717/
https://www.ncbi.nlm.nih.gov/pubmed/35768114
http://dx.doi.org/10.1136/bmjopen-2021-058975
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author Kooper, Cece C
Oosterlaan, Jaap
Bruining, Hilgo
Engelen, Marc
Pouwels, Petra J W
Popma, Arne
van Woensel, Job B M
Buis, Dennis R
Steenweg, Marjan E
Hunfeld, Maayke
Königs, Marsh
author_facet Kooper, Cece C
Oosterlaan, Jaap
Bruining, Hilgo
Engelen, Marc
Pouwels, Petra J W
Popma, Arne
van Woensel, Job B M
Buis, Dennis R
Steenweg, Marjan E
Hunfeld, Maayke
Königs, Marsh
author_sort Kooper, Cece C
collection PubMed
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.
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spelling pubmed-92447172022-07-14 Towards PErsonalised PRognosis for children with traumatic brain injury: the PEPR study protocol Kooper, Cece C Oosterlaan, Jaap Bruining, Hilgo Engelen, Marc Pouwels, Petra J W Popma, Arne van Woensel, Job B M Buis, Dennis R Steenweg, Marjan E Hunfeld, Maayke Königs, Marsh BMJ Open Paediatrics 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. BMJ Publishing Group 2022-06-29 /pmc/articles/PMC9244717/ /pubmed/35768114 http://dx.doi.org/10.1136/bmjopen-2021-058975 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Paediatrics
Kooper, Cece C
Oosterlaan, Jaap
Bruining, Hilgo
Engelen, Marc
Pouwels, Petra J W
Popma, Arne
van Woensel, Job B M
Buis, Dennis R
Steenweg, Marjan E
Hunfeld, Maayke
Königs, Marsh
Towards PErsonalised PRognosis for children with traumatic brain injury: the PEPR study protocol
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
topic Paediatrics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9244717/
https://www.ncbi.nlm.nih.gov/pubmed/35768114
http://dx.doi.org/10.1136/bmjopen-2021-058975
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