A Tree of Life? Multivariate logistic outcome-prediction in disorders of consciousness
Autor: | Johanna Kissler, Inga Steppacher, Fridtjof W. Nussbeck, Peter Fuchs, Michael Kaps |
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Rok vydání: | 2019 |
Předmět: |
Adult
Male 030506 rehabilitation Multivariate statistics Adolescent Consciousness genetic structures Neuroscience (miscellaneous) Disorders of consciousness Outcome (game theory) behavioral disciplines and activities Young Adult 03 medical and health sciences 0302 clinical medicine Developmental and Educational Psychology medicine Humans Evoked Potentials Aged unresponsive wakefulness syndrome N100 business.industry Electroencephalography Cognition consciousness state logistic outcome-prediction Middle Aged Prognosis medicine.disease N400 Logistic Models Treatment Outcome Multivariate Analysis Etiology Consciousness Disorders Female Neurology (clinical) 0305 other medical science business minimal 030217 neurology & neurosurgery Predictive modelling psychological phenomena and processes Clinical psychology |
Popis: | Background: Currently, the clinical outcome of patients with very severe head injuries and subsequent chronic disorders of consciousness is seen as generally very poor. Here, we specify individual outcome chances for disorders of consciousness (DOC) patients on the basis of clinical and EEG data and identify different subgroups of DOC patients, who vary substantially regarding their outcome chances. Methods: We employed data from 102 patients with DOC and used standard clinical protocol data (age, etiology, diagnosis, gender) and early sensory (N100, Mismatch Negativity) and late cognitive (P300, N400) EEG event related potentials (ERPs) to predict patients recovery rates. Results: Two significant prediction models emerged: In both, subgroups of patients with good (51%, tree 1) to very good recovery chances (97%, tree 2) could be identified. The first model was obtained from standard clinical data. The second model included late cognitive ERPs (N400 and P300) and resulted in considerably better patient classification. Moreover, when taking cognitive event related potentials into account, the standard protocol data did not add further significant information, neither did early ERPs (N100, MMN). This highlights that cognitive ERPs provide decisive information about an individual patient’s prognosis. Conclusion: The presented information about outcome chances of individual disorders of consciousness patients will be vital for these patients and critical for clinical professionals who have to direct specialized treatments and council relatives. Legal guardians and families, in turn, need to know what to expect in the future in order to prepare for the challenges ahead. Keywords: Disorders of consciousness, Unresponsive wakefulness syndrome, Minimal consciousness state, Logistic outcome-prediction. |
Databáze: | OpenAIRE |
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