Skip to main content
Log in

Prognostic value of global deep white matter DTI metrics for 1-year outcome prediction in ICU traumatic brain injury patients: an MRI-COMA and CENTER-TBI combined study

  • Original
  • Published:
Intensive Care Medicine Aims and scope Submit manuscript

A Correction to this article was published on 20 January 2022

This article has been updated

Abstract

Purpose

A reliable tool for outcome prognostication in severe traumatic brain injury (TBI) would improve intensive care unit (ICU) decision-making process by providing objective information to caregivers and family. This study aimed at designing a new classification score based on magnetic resonance (MR) diffusion metrics measured in the deep white matter between day 7 and day 35 after TBI to predict 1-year clinical outcome.

Methods

Two multicenter cohorts (29 centers) were used. MRI-COMA cohort (NCT00577954) was split into MRI-COMA-Train (50 patients enrolled between 2006 and mid-2014) and MRI-COMA-Test (140 patients followed up in clinical routine from 2014) sub-cohorts. These latter patients were pooled with 56 ICU patients (enrolled from 2014 to 2020) from CENTER-TBI cohort (NCT02210221). Patients were dichotomised depending on their 1-year Glasgow outcome scale extended (GOSE) score: GOSE 1–3, unfavorable outcome (UFO); GOSE 4–8, favorable outcome (FO). A support vector classifier incorporating fractional anisotropy and mean diffusivity measured in deep white matter, and age at the time of injury was developed to predict whether the patients would be either UFO or FO.

Results

The model achieved an area under the ROC curve of 0.93 on MRI-COMA-Train training dataset, and 49% sensitivity for 96.8% specificity in predicting UFO and 58.5% sensitivity for 97.1% specificity in predicting FO on the pooled MRI-COMA-Test and CENTER-TBI validation datasets.

Conclusion

The model successfully identified, with a specificity compatible with a personalized decision-making process in ICU, one in two patients who had an unfavorable outcome at 1 year after the injury, and two-thirds of the patients who experienced a favorable outcome.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3

Similar content being viewed by others

Data availability

Not applicable.

Code availability

Not applicable.

Change history

References

  1. Maas AIR, Menon DK, Steyerberg EW et al (2015) Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI): a prospective longitudinal observational study. Neurosurgery 76:67–80. https://doi.org/10.1227/NEU.0000000000000575

    Article  PubMed  Google Scholar 

  2. Giacino JT, Fins JJ, Laureys S, Schiff ND (2014) Disorders of consciousness after acquired brain injury: the state of the science. Nat Rev Neurol 10:99–114. https://doi.org/10.1038/nrneurol.2013.279

    Article  PubMed  Google Scholar 

  3. Steyerberg EW, Mushkudiani N, Perel P et al (2008) Predicting outcome after traumatic brain injury: development and international validation of prognostic scores based on admission characteristics. PLoS Med 5:e165. https://doi.org/10.1371/journal.pmed.0050165

    Article  PubMed  PubMed Central  Google Scholar 

  4. MRC Crash Trial Collaborators (2008) Predicting outcome after traumatic brain injury: practical prognostic models based on large cohort of international patients. BMJ 336:425–429. https://doi.org/10.1136/bmj.39461.643438.25

    Article  PubMed Central  Google Scholar 

  5. Gravesteijn BY, Nieboer D, Ercole A et al (2020) Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury. J Clin Epidemiol 122:95–107. https://doi.org/10.1016/j.jclinepi.2020.03.005

    Article  PubMed  Google Scholar 

  6. Estraneo A, Moretta P, Loreto V et al (2010) Late recovery after traumatic, anoxic, or hemorrhagic long-lasting vegetative state. Neurology 75:239–245. https://doi.org/10.1212/WNL.0b013e3181e8e8cc

    Article  CAS  PubMed  Google Scholar 

  7. Baricich A, de Sire A, Antoniono E et al (2017) Recovery from vegetative state of patients with a severe brain injury: a 4-year real-practice prospective cohort study. Funct Neurol 32:131–136. https://doi.org/10.11138/fneur/2017.32.3.131

    Article  PubMed  PubMed Central  Google Scholar 

  8. Basser PJ, Mattiello J, LeBihan D (1994) MR diffusion tensor spectroscopy and imaging. Biophys J 66:259–267. https://doi.org/10.1016/S0006-3495(94)80775-1

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Stevens RD, Hannawi Y, Puybasset L (2014) MRI for coma emergence and recovery. Curr Opin Crit Care 20:168–173. https://doi.org/10.1097/MCC.0000000000000069

    Article  PubMed  Google Scholar 

  10. Sidaros A, Engberg AW, Sidaros K et al (2008) Diffusion tensor imaging during recovery from severe traumatic brain injury and relation to clinical outcome: a longitudinal study. Brain J Neurol 131:559–572. https://doi.org/10.1093/brain/awm294

    Article  Google Scholar 

  11. Perlbarg V, Puybasset L, Tollard E et al (2009) Relation between brain lesion location and clinical outcome in patients with severe traumatic brain injury: a diffusion tensor imaging study using voxel-based approaches. Hum Brain Mapp 30:3924–3933. https://doi.org/10.1002/hbm.20817

    Article  PubMed  PubMed Central  Google Scholar 

  12. Newcombe V, Chatfield D, Outtrim J et al (2011) Mapping traumatic axonal injury using diffusion tensor imaging: correlations with functional outcome. PLoS One 6:e19214. https://doi.org/10.1371/journal.pone.0019214

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. O’Donnell LJ, Westin C-F (2011) An introduction to diffusion tensor image analysis. Neurosurg Clin N Am 22:185–viii. https://doi.org/10.1016/j.nec.2010.12.004

    Article  PubMed Central  Google Scholar 

  14. Jennett B, Bond M (1975) Assessment of outcome after severe brain damage. Lancet 1:480–484. https://doi.org/10.1016/s0140-6736(75)92830-5

    Article  CAS  PubMed  Google Scholar 

  15. Wilson JT, Pettigrew LE, Teasdale GM (1998) Structured interviews for the Glasgow Outcome Scale and the extended Glasgow Outcome Scale: guidelines for their use. J Neurotrauma 15:573–585. https://doi.org/10.1089/neu.1998.15.573

    Article  CAS  PubMed  Google Scholar 

  16. Hukkelhoven CWPM, Steyerberg EW, Rampen AJJ et al (2003) Patient age and outcome following severe traumatic brain injury: an analysis of 5600 patients. J Neurosurg 99:666–673. https://doi.org/10.3171/jns.2003.99.4.0666

    Article  PubMed  Google Scholar 

  17. Cox SR, Ritchie SJ, Tucker-Drob EM et al (2016) Ageing and brain white matter structure in 3,513 UK Biobank participants. Nat Commun 7:13629. https://doi.org/10.1038/ncomms13629

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  18. Galanaud D, Perlbarg V, Gupta R et al (2012) Assessment of white matter injury and outcome in severe brain trauma: a prospective multicenter cohort. Anesthesiology 117:1300–1310. https://doi.org/10.1097/ALN.0b013e3182755558

    Article  PubMed  Google Scholar 

  19. Collins GS, Reitsma JB, Altman DG, Moons KGM (2015) Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. BMJ 350:g7594. https://doi.org/10.1186/s12916-014-0241-z

    Article  PubMed  Google Scholar 

  20. Luyt C-E, Galanaud D, Perlbarg V et al (2012) Diffusion tensor imaging to predict long-term outcome after cardiac arrest: a bicentric pilot study. Anesthesiology 117:1311–1321. https://doi.org/10.1097/ALN.0b013e318275148c

    Article  PubMed  Google Scholar 

  21. Velly L, Perlbarg V, Boulier T et al (2018) Use of brain diffusion tensor imaging for the prediction of long-term neurological outcomes in patients after cardiac arrest: a multicentre, international, prospective, observational, cohort study. Lancet Neurol 17:317–326. https://doi.org/10.1016/S1474-4422(18)30027-9

    Article  PubMed  Google Scholar 

  22. Pagani E, Hirsch JG, Pouwels PJW et al (2010) Intercenter differences in diffusion tensor MRI acquisition. J Magn Reson Imaging JMRI 31:1458–1468. https://doi.org/10.1002/jmri.22186

    Article  PubMed  Google Scholar 

  23. R Core Team (2019) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria

  24. Budde MD, Kim JH, Liang H-F et al (2007) Toward accurate diagnosis of white matter pathology using diffusion tensor imaging. Magn Reson Med 57:688–695. https://doi.org/10.1002/mrm.21200

    Article  PubMed  Google Scholar 

  25. Hutchinson EB, Schwerin SC, Avram AV et al (2018) Diffusion MRI and the detection of alterations following traumatic brain injury. J Neurosci Res 96:612–625. https://doi.org/10.1002/jnr.24065

    Article  CAS  PubMed  Google Scholar 

  26. Fraser EE, Downing MG, Biernacki K et al (2019) Cognitive reserve and age predict cognitive recovery after mild to severe traumatic brain injury. J Neurotrauma 36:2753–2761. https://doi.org/10.1089/neu.2019.6430

    Article  PubMed  Google Scholar 

  27. Signorini DF, Andrews PJD, Jones PA et al (1999) Predicting survival using simple clinical variables: a case study in traumatic brain injury. J Neurol Neurosurg Psychiatry 66:20–25. https://doi.org/10.1136/jnnp.66.1.20

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Haveman ME, Van Putten MJAM, Hom HW et al (2019) Predicting outcome in patients with moderate to severe traumatic brain injury using electroencephalography. Crit Care 23:401. https://doi.org/10.1186/s13054-019-2656-6

    Article  PubMed  PubMed Central  Google Scholar 

  29. Lazaridis C, Yang M, DeSantis SM et al (2015) Predictors of intensive care unit length of stay and intracranial pressure in severe traumatic brain injury. J Crit Care 30:1258–1262. https://doi.org/10.1016/j.jcrc.2015.08.003

    Article  PubMed  PubMed Central  Google Scholar 

  30. Jensen JH, Helpern JA (2010) MRI quantification of non-Gaussian water diffusion by kurtosis analysis. NMR Biomed 23:698. https://doi.org/10.1002/nbm.1518

    Article  PubMed  PubMed Central  Google Scholar 

  31. Zhang H, Schneider T, Wheeler-Kingshott CA, Alexander DC (2012) NODDI: practical in vivo neurite orientation dispersion and density imaging of the human brain. Neuroimage 61:1000–1016. https://doi.org/10.1016/j.neuroimage.2012.03.072

    Article  PubMed  Google Scholar 

  32. Provencio JJ, Hemphill JC, Claassen J et al (2020) The curing coma campaign: framing initial scientific challenges—proceedings of the first curing coma campaign scientific advisory council meeting. Neurocrit Care 33:1. https://doi.org/10.1007/s12028-020-01028-9

    Article  PubMed  PubMed Central  Google Scholar 

  33. Izzy S, Compton R, Carandang R et al (2013) Self-fulfilling prophecies through withdrawal of care: do they exist in traumatic brain injury, too? Neurocrit Care 19:347–363. https://doi.org/10.1007/s12028-013-9925-z

    Article  PubMed  Google Scholar 

  34. de Souza EM, Costa ET, Castellano G (2017) Phantoms for diffusion-weighted imaging and diffusion tensor imaging quality control: a review and new perspectives. Res Biomed Eng 33:156–165. https://doi.org/10.1590/2446-4740.07816

    Article  Google Scholar 

  35. Hicks R, Giacino J, Harrison-Felix C et al (2013) Progress in developing common data elements for traumatic brain injury research: version two – the end of the beginning. J Neurotrauma 30:1852–1861. https://doi.org/10.1089/neu.2013.2938

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We would like to thank patients, relatives, and clinical and research staff at all trial sites. The members of MRI-COMA investigators are: Charlène Aubinet, Manon Carrière, Carol Di Perri, Steven Laureys, Andrea Soddu, Audrey Vanhaudenhuyse: Cyclotron Research Center and Department of Neurology, University of Liège, Liège, Belgium. Julien Amour: Department of Anesthesiology and Critical Care, Institut de cardiologie, Groupe Hospitalier Pitié-Salpêtrière, Paris, France. Charlotte Arbelot, Jean-Jacques Rouby, Corine Vezinet: Department of Intensive Care, Groupe Hospitalier Pitié-Salpêtrière, Paris, France. Laurent Barral, Jean-Paul Roustan: Department of Intensive Care, University Hospital of Montpellier, Montpellier, France. Nicolas Bruder: Department of Anesthesiology and Critical Care, University Hospital Timone Adultes, Marseille, France. Russel Chabanne, Jean-Michel Constantin: Department of Anesthesiology and Critical Care, University Hospital of Clermont-Ferrand, Clermont-Ferrand, France. Leila Chamard: Department of Neuroradiology, Neurological Hospital, Hospices civils de Lyon, Lyon, France. Jean Chastre, Charles-Edouard Luyt: Department of Medical Intensive Care, Institut de cardiologie, Groupe Hospitalier Pitié-Salpêtrière, Paris, France. Vincent Cottenceau, François Sztark, Olivier Verdonck: Department of Anesthesiology and Critical Care, University Hospital Pellegrin, Bordeaux, France. David Couret: Department of Intensive Care, University Hospital Sud Réunion, Saint-Pierre, France. Frédéric Dailler, Thomas Ritzenthaler: Department of Intensive Care, Neurological Hospital, Hospices civils de Lyon, Lyon, France. Vincent Degos, Louis Puybasset: Department of Neuro Critical Care, Groupe Hospitalier Pitié-Salpêtrière, Paris Francis Bolgert , Nicolas Weiss, Sophie Demeret, Alexandre Demoule, Alexandre Duguet, Thomas Similowski: Department of Respiratory and Critical Care Medicine, Groupe Hospitalier Pitié-Salpêtrière, Paris, France. Pierre-Guy Durand: Department of Intensive Care, Saint-Jean Hospital, Perpignan, France. Damien Galanaud: Department of Neuroradiology, Groupe Hospitalier Pitié-Salpêtrière, Paris, France. Michèle Génestal, Stein Silva: Department of Anesthesiology and Critical Care, University Hospital Purpan, Toulouse, France. Nadine Girard: Department of Neuroradiology, University Hospital Timone Adultes, Marseille, France. Betty Jean: Department of Neuroradiology, University Hospital of Clermont-Ferrand, Clermont-Ferrand, France. Stéphane Kremer: Department of Neuroradiology, University Hospital of Strasbourg, Strasbourg, France. Olivier Langeron, Mathieu Raux: Department of Anesthesiology and Critical Care, Groupe Hospitalier Pitié-Salpêtrière, Paris, France. Nathalie Laquay: Department of Intensive Care, Saint-Anne Hospital, Paris, France. Jean-Albert Lotterie: Neuro-Campus Baudot, Institut des Sciences du Cerveau, Toulouse, France. Nicolas Menjot de Champfleur: Department of Neuroradiology, University Hospital of Montpellier, Montpellier, France. Sandrine Molinier, Thomas Tourdias: Department of Neuroradiology, University Hospital Pellegrin, Bordeaux, France. Sandrine Mons: Department of Intensive Care, Hospital of Papeete, Papeete, France. Catherine Oppenheim: Department of Neuroradiology, Saint-Anne Hospital, Paris, France. Julien Pottecher: Department of Intensive Care, University Hospital of Strasbourg, Strasbourg, France. Benjamin Rohaut: Neurological Intensive Care Unit, Institut de Neurosciences, Groupe Hospitalier Pitié-Salpêtrière, Paris, France.Gustavo Sotoares: Department of Neuroradiology, University Hospital Roger Salengro, Lille, France. Eléonore Tollard: Department of Neuroradiology, University Hospital of Rouen, Rouen, France. Benoît Veber: Department of Intensive Care, University Hospital of Rouen, Rouen, France. Emmanuel Vega: Department of Intensive Care, University Hospital Roger Salengro, Lille, France. Cristina Agostinis: Department of Neuroradiology, Hospital Papa Giovanni XXIII, Bergamo, Italy. Mariagiulia Anglani: Department of Neuroradiology, University Hospital of Padova, Padova, Italy. Giuseppe Citerio, Alessia Vargiolu: School of Medicine, University of Milano - Bicocca, Monza, Italy. Moreno Curti, Francesco Della Corte, Francesca Grossi: Department of Anesthesia and Critical Care, Maggiore della Carita-Emergenza, Novara, Italy. Roberto Alberto De Blasi, Livia Errico: Department of Anesthesia and Critical Care, Sant’Andrea Hospital, Roma, Italy. Paolo Gritti: Department of Anesthesia and Critical Care, Hospital Papa Giovanni XXIII, Bergamo, Italy. Marina Munari: Department of Anesthesia and Critical Care, University Hospital of Padova, Padova, Italy. Mirko Patassini: Department of Neuroscience, Hospital San Gerardo, Monza, Italy. The members of CENTER-TBI MRI participants and MRI only investigators: Véronique De Keyser, Andrew I.R. Maas, Tomas Menovsky, Gregory Van der Steen: Department of Neurosurgery, Antwerp University Hospital and University of Antwerp, Edegem, Belgium. Bart Depreitere: Department of Neurosurgery, University Hospitals Leuven, Leuven, Belgium. Alexandre Ghuysen, Emergency Department, CHU, Liège, Belgium. Steven Laureys, Didier Ledoux, Benoit Misset: Cyclotron Research Center, University of Liège, Liège, Belgium. Paul M. Parizel: Department of Radiology, University of Antwerp, Edegem, Belgium. Wim Van Hecke, Thijs Vande Vyvere, Jan Verheyden: icoMetrix NV, Leuven, Belgium. Jussi P. Posti, Olli Tenovuo: Division of Clinical Neurosciences, Department of Neurosurgery and Turku Brain Injury Centre, Turku University Hospital and University of Turku, Turku, Finland. Riikka Takala: Perioperative Services, Intensive Care Medicine and Pain Management, Turku University Hospital and University of Turku, Turku, Finland. Peter Ylén: VTT Technical Research Centre, Tampere, Finland. Philippe Azouvi: Raymond Poincaré Hospital, Assistance Publique—Hôpitaux de Paris, Paris, France. Habib Benali, Vincent Degos, Damien Galanaud, Vincent Perlbarg, Louis Puybasset: Department of Anesthesiology and Critical Care, Pitié-Salpêtrière Teaching Hospital, Assistance Publique—Hôpitaux de Paris and Sorbonne Université, Paris; Laboratoire d’Imagerie Biomédicale, Sorbonne Université, Inserm, CNRS, Paris, France. Ana Kowark, Rolf Rossaint: Department of Anaesthesiology, University Hospital of Aachen, Aachen, Germany. Hans Clusmann: Department of Neurosurgery, Medical Faculty RWTH Aachen University, Aachen, Germany. Mark Coburn: Department of Anesthesiology and Intensive Care Medicine, University Hospital Bonn, Bonn, Germany. Krisztina Amrein, József Nyirádi: János Szentágothai Research Centre, University of Pécs, Pécs, Hungary. Andras Buki, Endre Czeiter: Department of Neurosurgery, Medical School, University of Pécs; Neurotrauma Research Group, János Szentágothai Research Centre, University of Pécs, Pécs, Hungary. Erzsébet Ezer, Zoltán Vámos: Department of Anaesthesiology and Intensive Therapy, University of Pécs, Pécs, Hungary. Noémi Kovács: Hungarian Brain Research Program—Grant No. KTIA_13_NAP-A-II/8, University of Pécs, Pécs, Hungary. Abayomi Sorinola, Viktória Tamás: Department of Neurosurgery, University of Pécs, Pécs, Hungary. Alessio Caccioppola, Emiliana Calappi, Marco Carbonara, Fabrizio Ortolano, Tommaso Zoerle: Neuro ICU, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milano, Italy. Giuseppe Citerio: School of Medicine and Surgery, Università Milano Bicocca, Milano, Italy, NeuroIntensive Care, ASST di Monza, Monza, Italy. Paolo Persona, Sandra Rossi: Department of Anesthesia and Intensive Care, Azienda Ospedaliera Università di Padova, Padova, Italy. Nino Stocchetti: Department of Pathophysiology and Transplantation, Milan University, and Neuroscience ICU, Fondazione IRCCS Cà Granda Ospedale Maggiore Policlinico, Milano, Italy. Nada Andelic: Division of Surgery and Clinical Neuroscience, Department of Physical Medicine and Rehabilitation, Oslo University Hospital and University of Oslo, Oslo, Norway. Lasse Andreassen: Department of Neurosurgery, University Hospital Northern Norway, Tromsø, Norway. Audny Anke: Department of Physical Medicine and Rehabilitation, University Hospital Northern Norway, Tromsø, Norway. Live Eikenes: Department of Circulation and Medical Imaging, Norwegian University of Science and Technology, NTNU, Trondheim, Norway. Shirin Frisvold: Department of Anesthesiology and Intensive care, University Hospital Northern Norway, Tromsø, Norway. Asta Haberg, Toril Skandsen: Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, NTNU, Trondheim; Department of Physical Medicine and Rehabilitation, St.Olavs Hospital, Trondheim University Hospital, Trondheim, Norway. Eirik Helseth: Department of Neurosurgery, Oslo University Hospital, Oslo, Norway. Ingeborg Nakken: Department of Radiology and Nuclear Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway. Wibeke Nordhøy: Department of Diagnostic Physics, Clinic of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway. Cecilie Roe: Department of Physical Medicine and Rehabilitation, Oslo University Hospital/University of Oslo, Oslo, Norway. Olav Roise: Division of Orthopedics, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, Faculty of medicine, University of Oslo, Oslo, Norway. Anne Vik: Department of Neuromedicine and Movement Science, Norwegian University of Science and Technology, NTNU, Trondheim; Department of Neurosurgery, St.Olavs Hospital, Trondheim University Hospital, Trondheim, Norway. Lars T. Westlye: Norwegian Centre for Mental Disorders Research (NORMENT), Division of Mental Health and Addiction, Oslo University Hospital and Institute of Clinical Medicine, University of Oslo and Department of Psychology, University of Oslo, Oslo, Norway. Bo-Michael Bellander: Department of Neurosurgery and Anesthesia and intensive care medicine, Karolinska University Hospital, Stockholm, Sweden. Visakh Muraleedharan: Karolinska Institutet, INCF International Neuroinformatics Coordinating Facility, Stockholm, Sweden. Kelly Foks: Department of Neurology, Erasmus MC, Rotterdam, The Netherlands. Iain Haitsma, Victor Volovici: Department of Neurosurgery, Erasmus MC, Rotterdam, The Netherlands. Hester Lingsma: Department of Public Health, Erasmus Medical Center-University Medical Center, Rotterdam, The Netherlands. Wilco Peul: Dept. of Neurosurgery, Leiden University Medical Center, Leiden, The Netherlands and Dept. of Neurosurgery, Medical Center Haaglanden, The Hague, The Netherlands. Ewout W. Steyerberg: Department of Public Health, Erasmus Medical Center-University Medical Center, Rotterdam; Department. of Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands. Jonathan Coles: Department of Anesthesia and Neurointensive Care, Cambridge University Hospital NHS Foundation Trust, Cambridge, UK. Marta Correia: Radiology/MRI department, MRC Cognition and Brain Sciences Unit, Cambridge, UK. Ben Glocker, Daniel Rueckert: Department of Computing, Imperial College London, London, UK. Peter J. Hutchinson: Division of Neurosurgery, Department of Clinical Neurosciences, Addenbrooke’s Hospital and University of Cambridge, Cambridge, UK. Evgenios Kornaropoulos, David K. Menon, Virginia Newcombe, Sophie Richter, Emmanuel Stamatakis, Guy Williams, Stefan Winzeck: Division of Anaesthesia, University of Cambridge, Addenbrooke’s Hospital, Cambridge, UK. Geoffrey Manley: Department of Neurological Surgery, University of California, San Francisco, CA, USA.

Funding

The MRI-COMA trial was funded by independent research grants from non-profit or governmental agencies: French Ministry of Health, Paris, France (Programme Hospitalier de Recherche Clinique 2005 #051061), and the French National Agency for Research (ANR) for the program “Investissements d’avenir” ANR-10-IAIHU-06 (to the Brain and Spine Institute); Italian Ministry of health and Regione Lombardia (Ricerca Finalizzata 2010-RF-2010-2319503). CENTER-TBI data used in preparation of this manuscript were obtained in the context of CENTER-TBI, a large collaborative project with the support of the European Union 7th Framework program (EC grant 602150). Additional funding was obtained from the Hannelore Kohl Stiftung (Germany), from OneMind (USA) and from Integra LifeSciences Corporation (USA).

Author information

Authors and Affiliations

Authors

Consortia

Contributions

Conceptualization: LP, VP, LV, EB, MPI. Methodology: MPI, VP, JU. Software: MPI, VP, JU. Validation: all. Formal analysis: MPI, VP, JU. Investigation: VB, GC, VD, DG, LP, GT. Resources: GC, VD, DG, LP. Data curation: VB, DC, ML, GT, JU. Writing—original draft: MPI, VP, EB, LP. Writing—review and editing: all. Visualization: MPI, JU. Supervision: LP, VD, VP, MPI. Project administration: LP, GT, MPI. Funding acquisition: LP. All approved the final version.

Corresponding author

Correspondence to Louis Puybasset.

Ethics declarations

Conflicts of interest

DG, LP, and VP share together with institutions (APHP, INSERM, CNRS, and Sorbonne Université) the property of patent WO2012160316, which partly covers the research of the present study. DC, DG, LP, and VP are co-founders and members of the advisory board of Braintale SAS in terms approved by Sorbonne Université (Paris, France) in accordance with its policy on objectivity in research. GC is Editor in Chief of Intensive Care Medicine. The other authors do not have any conflict of interest to disclose.

Ethical approval

Both MRI-COMA (NCT00577954) and CENTER-TBI (NCT02210221) studies were conducted in accordance with all relevant laws of the EU if directly applicable or of direct effect and all relevant laws of the country where the Recruiting sites were located, including but not limited to, the relevant privacy and data protection laws and regulations (the “Privacy Law”), the relevant laws and regulations on the use of human materials, and all relevant guidance relating to clinical studies from time to time in force including, but not limited to, the ICH Harmonised Tripartite Guideline for Good Clinical Practice (CPMP/ICH/135/95) (“ICH GCP”) and the World Medical Association Declaration of Helsinki entitled “Ethical Principles for Medical Research Involving Human Subjects”. Ethical approval was obtained for each recruiting site. For details regarding MRI-COMA, the Direction de la Recherche Clinique et de l’Innovation (DRCI), Assistance Publique Hôpitaux de Paris (Paris, France) can be contacted: secretariat-direction.drc@aphp.fr. For CENTER-TBI, the list of sites, Ethical Committees, approval numbers and approval dates can be found on the website: https://www.center-tbi.eu/project/ethical-approval.

Consent to participate

CENTER-TBI: Informed Consent by the patients and/or the legal representative/next of kin was obtained, accordingly to the local legislations, for all patients recruited in the Core Dataset of CENTER-TBI and documented in the e-CRF. MRI-COMA: Informed Consent by the patients and/or the legal representative/next of kin was obtained, accordingly to the local legislations.

Consent for publication

Not applicable.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

The original online version of this article was revised: The copyright year for this article was incorrectly given as 2022 but should have been 2021.

The members of MRI-COMA Investigators and CENTER-TBI MRI Participants and MRI Only Investigators are listed in “Acknowledgements”.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (PDF 1208 kb)

Rights and permissions

Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Puybasset, L., Perlbarg, V., Unrug, J. et al. Prognostic value of global deep white matter DTI metrics for 1-year outcome prediction in ICU traumatic brain injury patients: an MRI-COMA and CENTER-TBI combined study. Intensive Care Med 48, 201–212 (2022). https://doi.org/10.1007/s00134-021-06583-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00134-021-06583-z

Keywords

Navigation