Looking toward predicting functional recovery in disorders of consciousness: can sensorimotor integration help us?
In: Brain injury, Jg. 33 (2019), Heft 3, S. 364-369
academicJournal
Zugriff:
Primary Objective: Only a few objective prognostic markers are available for patients with disorders of consciousness (DoC). We assessed whether the magnitude of short-latency afferent inhibition (SAI) might be a useful predictor of responsiveness recovery and functional outcome in patients with DoC.
Research Design: We enrolled 40 patients with prolonged Minimally Conscious State (MCS) and Unresponsive Wakefulness Syndrome (UWS) in a longitudinal, observational study.
Methods and Procedures: Clinical features (including Coma Recovery Scale-Revised, CRS-R, and Glasgow Outcome Scale, GOS) and SAI were collected at the study entry and after 18 months from study inclusion, to assess a correlation between SAI and the clinical outcome.
Main Outcomes and Results: At the follow-up, 19 patients remained in their baseline condition, whereas 7 UWS evolved into MCS or emerged-from-MCS (EMCS), eight MCS evolved into EMCS, and two MCS- evolved into MCS+. Two UWS and one MCS+ died for cardiopulmonary complications. The patients who showed the highest GOS, the highest CRS-R and the lowest SAI strength at study entry, improved at the follow-up.
Conclusions: Our findings suggest that an objective and simple neurophysiologic measure as SAI strength could provide useful information to predict the outcome and the behavioral responsiveness of patients with DoC.
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Looking toward predicting functional recovery in disorders of consciousness: can sensorimotor integration help us?
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Autor/in / Beteiligte Person: | Billeri, L ; Naro, A ; Leo, A ; Galletti, B ; Tomasello, P ; Manuli, A ; Andronaco, V ; Lauria, P ; Bramanti, A ; Calabrò, RS |
Zeitschrift: | Brain injury, Jg. 33 (2019), Heft 3, S. 364-369 |
Veröffentlichung: | London : Informa Healthcare ; <i>Original Publication</i>: London ; New York : Taylor & Francis, c1987-, 2019 |
Medientyp: | academicJournal |
ISSN: | 1362-301X (electronic) |
DOI: | 10.1080/02699052.2018.1553309 |
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