Improving Diagnosis and Prediction of Outcome in Patients With Severe Disorders of Consciousness
Improving Diagnosis and Prediction of Outcome in Patients With Severe Disorders of Consciousness
Patients with acute severe brain injury are usually admitted to the Intensive Care Unit. A substantial proportion of these patients will have disorders of consciousness (DOC) after interruption of sedation. It is difficult to reliably predict neurological outcome in these patients. Dependent on the extent of permanently damaged brain areas, DOC in patients with acute severe brain injury may improve or persist, eventually evolving into a minimal conscious state (MCS) or unresponsive wakefulness syndrome (UWS). These conditions are accompanied by long term severe disability. In current practice, the decision to withdraw life-sustaining support is made by interpreting the results of repeated bedside neurological examination and conventional CT-brain imaging. Reliable identification of patients with a possible good outcome, in whom treatment should not be withdrawn, is difficult. In this prospective observational cohort study we aim to identify patients with a good neurological outcome.
In order to identify patients with a good neurological outcome a combination of diagnostic tests is used.
Clinical rating scales
Blood biomarkers
EEG with reactivity testing
Standard 21-electrode montage
Stimuli protocol I: a set of 5 stimuli repeated 3 times
1. Auditory: clapping in hands, 2. Auditory: calling patients name loudly, 3. Visual: passive eye opening, 4. Tactile: nasal tickle, 5. Noxious: sternal rub Each stimuli is applied for a duration of 5 seconds and an interval between stimuli of 30 seconds
Stimuli protocol II: Cognitive-motor dissociation test
MRI-scan
Inclusion Criteria:
All patients that are admitted to the ICU with the following criteria will be eligible for inclusion:
Severe brain injury (GCS ≤ 8) as a result of:
Age ≥ 18 years old
Written informed consent from legal representatives
Exclusion Criteria:
A potential subject who meets any of the following criteria will be excluded from participation in this study:
w.e.haksteen@amsterdamumc.nl+31 020 566 9111
j.horn@amsterdamumc.nl
w.e.haksteen@amsterdamumc.nl+31 020 - 566 9111