Academic Journal
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
العنوان: | 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 |
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المؤلفون: | Nasrallah, F, Bellapart, J, Walsham, J, Jacobson, E, To, XV, Manzanero, S, Brown, N, Meyer, J, Stuart, J, Evans, T, Chandra, SS, Ross, J, Campbell, L, Senthuran, S, Newcombe, V |
بيانات النشر: | BMJ |
سنة النشر: | 2023 |
المجموعة: | Griffith University: Griffith Research Online |
مصطلحات موضوعية: | Biomedical and clinical sciences, Health sciences, Psychology, INTENSIVE & CRITICAL CARE, Magnetic resonance imaging, Neurological injury |
الوصف: | 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. ; Full Text |
نوع الوثيقة: | article in journal/newspaper |
اللغة: | English |
تدمد: | 2044-6055 |
Relation: | BMJ Open; Nasrallah, F; Bellapart, J; Walsham, J; Jacobson, E; To, XV; Manzanero, S; Brown, N; Meyer, J; Stuart, J; Evans, T; Chandra, SS; Ross, J; Campbell, L; Senthuran, S; Newcombe, V; McCullough, J; Fleming, J; Pollard, C; Reade, M, 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, BMJ Open, 2023, 13 (4), pp. e067740; http://hdl.handle.net/10072/426113 |
DOI: | 10.1136/bmjopen-2022-067740 |
الاتاحة: | http://hdl.handle.net/10072/426113 https://doi.org/10.1136/bmjopen-2022-067740 |
Rights: | http://creativecommons.org/licenses/by-nc/4.0/ ; © Author(s) (or their employer(s)) 2023. 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/. ; open access |
رقم الانضمام: | edsbas.31CCAF4A |
قاعدة البيانات: | BASE |
تدمد: | 20446055 |
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DOI: | 10.1136/bmjopen-2022-067740 |