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PREdiction and Diagnosis using Imaging and Clinical biomarkers Trial in Traumatic Brain Injury (PREDICT-TBI) study protocol: an observational, prospective, multicentre cohort study for the prediction of outcome in moderate-to-severe TBI.
Nasrallah, Fatima; Bellapart, Judith; Walsham, James; Jacobson, Esther; To, Xuan Vinh; Manzanero, Silvia; Brown, Nathan; Meyer, Jason; Stuart, Janine; Evans, Tracey; Chandra, Shekhar S; Ross, Jason; Campbell, Lewis; Senthuran, Siva; Newcombe, Virginia; McCullough, James; Fleming, Jennifer; Pollard, Clifford; Reade, Michael.
  • Nasrallah F; The Queensland Brain Institute, The University of Queensland, Saint Lucia, Queensland, Australia f.nasrallah@uq.edu.au.
  • Bellapart J; Intensive Care Unit, Royal Brisbane and Women's Hospital, Metro North Health Service District, Herston, Queensland, Australia.
  • Walsham J; Intensive Care Unit, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia.
  • Jacobson E; Faculty of Medicine, The University of Queensland, Saint Lucia, Queensland, Australia.
  • To XV; Jamieson Trauma Institute, Metro North Health Service District, Herston, Queensland, Australia.
  • Manzanero S; The Queensland Brain Institute, The University of Queensland, Saint Lucia, Queensland, Australia.
  • Brown N; Jamieson Trauma Institute, Metro North Health Service District, Herston, Queensland, Australia.
  • Meyer J; Intensive Care Unit, Royal Brisbane and Women's Hospital, Metro North Health Service District, Herston, Queensland, Australia.
  • Stuart J; Faculty of Medicine, The University of Queensland, Saint Lucia, Queensland, Australia.
  • Evans T; Intensive Care Unit, Princess Alexandra Hospital, Woolloongabba, Queensland, Australia.
  • Chandra SS; Intensive Care Unit, Royal Brisbane and Women's Hospital, Metro North Health Service District, Herston, Queensland, Australia.
  • Ross J; The Queensland Brain Institute, The University of Queensland, Saint Lucia, Queensland, Australia.
  • Campbell L; School of Information Technology and Electrical Engineering, Architecture and Information Technology, The University of Queensland, Saint Lucia, Queensland, Australia.
  • Senthuran S; Health and Biosecurity, CSIRO, Westmead, New South Wales, Australia.
  • Newcombe V; Intensive Care Unit, Royal Darwin Hospital, Casuarina, Darwin, Australia.
  • McCullough J; College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia.
  • Fleming J; Intensive Care Unit, Townsville Hospital and Health Service, Townsville, Queensland, Australia.
  • Pollard C; University Division of Anaesthesia, University of Cambridge, Cambridge, UK.
  • Reade M; Intensive Care Unit, Gold Coast Hospital and Health Service, Gold Coast, Queensland, Australia.
BMJ Open ; 13(4): e067740, 2023 04 24.
Article en En | MEDLINE | ID: mdl-37094888
ABSTRACT

INTRODUCTION:

Traumatic brain injury (TBI) is a heterogeneous condition with a broad spectrum of injury severity, pathophysiological processes and variable outcomes. For moderate-to-severe TBI survivors, recovery is often protracted and outcomes can range from total dependence to full recovery. Despite advances in medical treatment options, prognosis remains largely unchanged. The objective of this study is to develop a machine learning predictive model for neurological outcomes at 6 months in patients with a moderate-to-severe TBI, incorporating longitudinal clinical, multimodal neuroimaging and blood biomarker predictor variables. METHODS AND

ANALYSIS:

A prospective, observational, cohort study will enrol 300 patients with moderate-to-severe TBI from seven Australian hospitals over 3 years. Candidate predictors including demographic and general health variables, and longitudinal clinical, neuroimaging (CT and MRI), blood biomarker and patient-reported outcome measures will be collected at multiple time points within the acute phase of injury. The predictor variables will populate novel machine learning models to predict the Glasgow Outcome Scale Extended 6 months after injury. The study will also expand on current prognostic models by including novel blood biomarkers (circulating cell-free DNA), and the results of quantitative neuroimaging such as Quantitative Susceptibility Mapping and Dynamic Contrast Enhanced MRI as predictor variables. ETHICS AND DISSEMINATION Ethical approval has been obtained by the Royal Brisbane and Women's Hospital Human Research Ethics Committee, Queensland. Participants or their substitute decision-maker/s will receive oral and written information about the study before providing written informed consent. Study findings will be disseminated by peer-review publications and presented at national and international conferences and clinical networks. TRIAL REGISTRATION NUMBER ACTRN12620001360909.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Lesiones Traumáticas del Encéfalo Tipo de estudio: Clinical_trials / Diagnostic_studies / Etiology_studies / Guideline / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans País como asunto: Oceania Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Lesiones Traumáticas del Encéfalo Tipo de estudio: Clinical_trials / Diagnostic_studies / Etiology_studies / Guideline / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans País como asunto: Oceania Idioma: En Año: 2023 Tipo del documento: Article