- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04534777
Multimodal Neuroprognostication in Disorders of Consciousness (M-Neuro-DoC)
Study Overview
Status
Conditions
Detailed Description
Improved treatment of critically ill patients has resulted in increased patients' survival rates in Intensive Care Units (ICU). This is particularly true for brain injury such as traumatic brain injuries, cerebral hemorrhages or cardiac arrest. While some of these patients regain consciousness after a transient state known as coma, other will develop a prolonged disorder of consciousness (DoC) such as chronic unresponsive wakefulness syndrome (also known as vegetative state) or minimally conscious state, or will remain severely disabled. Consciousness diagnosis and prediction of recovery in DoC currently relies on standardized behavioral assessment and disease-specific markers. However, this strategy may fail to detect covert consciousness due to major sensory and motor deficits. Moreover, the DoC etiology and pathophysiology are heterogenous and most likely result from the combination of factors whose interplay still needs to be clarified. Consciousness detection in DoC is of great importance in term of medical management (e.g., pain management, communication), prognosis (e.g., orientation to adapted rehabilitation center to maximize chance of recovery) and end-of-life discussions (e.g., withholding and/or withdrawing of life support discussion). Furthermore, taking care of these patients can be very stressful due to the high levels of uncertainty associated to their potential of recovery. For all these reasons it is critical to develop personalized diagnosis and prognosis assessment tools that can allow better decisions.
The M-NeuroDoC study will take advantage from the state-of-the-art multimodal assessment ongoing at our institution for both acute and chronic patients in order to improve recovery prediction.
Indeed, our multimodal assessment practice constitutes a great and unique opportunity to better understand the respective diagnostic and prognostic accuracy performances of markers such as behavioral, electrophysiological and neuroimaging that are routinely performed at our institution.
The overall outcome of this project will allow to draw better single-patient predictions of state, prognosis, and rehabilitation strategies and furthermore, a better understanding the pathophysiological mechanisms behind DoC that could result in groundbreaking new personalized therapeutic approaches.
Based on the collected data, we will evaluate the respective diagnostic accuracy of all the markers acquired in clinical practice regarding the clinical outcome at 2 years.
Data of interest will be:
- repeated neurological assessments
- repeated behavioural assessments suing validated tools:
- neurophysiological explorations
- conventional brain imagery (CT, IRM)
- quantitative brain imagery
- functional brain imagery , mental imagery
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Benjamin ROHAUT, MD
- Phone Number: +33 184827888
- Email: benjamin.rohaut@aphp.fr
Study Contact Backup
- Name: Lionel NACCACHE, PUPH
- Phone Number: +33 157274314
- Email: lionel.naccache@aphp.fr
Study Locations
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-
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Paris, France, 75013
- Recruiting
- Hôpital Pitié Salpetrière
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Contact:
- Benjamin ROHAUT, MD
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-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Consciousness disorder (acute sub-acute or chronic for which our expertise is requested to better characterize the diagnostic and prognosis of recovery)
- Brain injuries on CT or MRI (e.g. TBI) (traumatic brain-injured ), anoxia or stroke related lesions, etc…)
- Age between 18 and 80 years
Exclusion Criteria:
- Deep sedation (e.g. elevated ICP(intracranial pressure ), refractory status epilepticus)
- Sever known neurodegenerative disease (e.g. Alzheimer disease)
- Pregnancy
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Consciousness disorder patients
The overall outcome of this project will allow to draw better single-patient predictions of state, prognosis, and rehabilitation strategies and furthermore, a better understanding the pathophysiological mechanisms behind DoC that could result in groundbreaking new personalized therapeutic approaches. Based on the collected data, we will evaluate the respective diagnostic accuracy of all the markers acquired in clinical practice regarding the clinical outcome at 2 years. |
Based on the collected data, we will evaluate the respective diagnostic accuracy of all the markers acquired in clinical practice regarding the clinical outcome at 2 years.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
prognosis accuracy of respective predictive markers of consciousness recovery
Time Frame: 24 MONTHS
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Calculation of the value (Chi2 tests, specificity, sensitivity, positive and negative predictive values of each tests and of their combinations to distinguish patients states and outcome (24-month GOS-E ≥ 4 or < 4).
|
24 MONTHS
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
GOS-E Glasgow outcome scale - Extended
Time Frame: 6, 12 and 18 months
|
Evolution of GOS-E (Glasgow outcome scale - Extended) scale from category 1 ==> Death to category 8: good recovery upper ==>no current problems related to the brain injury that affect daily life
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6, 12 and 18 months
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Collaborators and Investigators
Publications and helpful links
General Publications
- Giacino JT, Kalmar K. Diagnostic and prognostic guidelines for the vegetative and minimally conscious states. Neuropsychol Rehabil. 2005 Jul-Sep;15(3-4):166-74. doi: 10.1080/09602010443000498.
- Andre-Obadia N, Zyss J, Gavaret M, Lefaucheur JP, Azabou E, Boulogne S, Guerit JM, McGonigal A, Merle P, Mutschler V, Naccache L, Sabourdy C, Trebuchon A, Tyvaert L, Vercueil L, Rohaut B, Delval A. Recommendations for the use of electroencephalography and evoked potentials in comatose patients. Neurophysiol Clin. 2018 Jun;48(3):143-169. doi: 10.1016/j.neucli.2018.05.038. Epub 2018 May 18.
- Hermann B, Goudard G, Courcoux K, Valente M, Labat S, Despois L, Bourmaleau J, Richard-Gilis L, Faugeras F, Demeret S, Sitt JD, Naccache L, Rohaut B; Pitie-Salpetriere hospital Neuro-ICU. Wisdom of the caregivers: pooling individual subjective reports to diagnose states of consciousness in brain-injured patients, a monocentric prospective study. BMJ Open. 2019 Feb 21;9(2):e026211. doi: 10.1136/bmjopen-2018-026211.
- Balanca B, Dailler F, Boulogne S, Ritzenthaler T, Gobert F, Rheims S, Andre-Obadia N. Diagnostic accuracy of quantitative EEG to detect delayed cerebral ischemia after subarachnoid hemorrhage: A preliminary study. Clin Neurophysiol. 2018 Sep;129(9):1926-1936. doi: 10.1016/j.clinph.2018.06.013. Epub 2018 Jul 5.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
- functional magnetic resonance imaging
- polysomnography
- traumatic brain injury
- positron emission tomography
- minimally conscious state
- transcranial magnetic stimulation
- electroencephalography
- vegetative state
- evoked potentials
- unresponsive wakefulness syndrome
- resting state fMRI (functional magnetic resonance imaging )
Additional Relevant MeSH Terms
Other Study ID Numbers
- APHP 200194
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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