OBJECTIVE: This study aimed to evaluate, through polysomnographic analysis, the prognostic value of sleep patterns, compared to other prognostic factors, in @entity1 with @entity1662 ( @entity1662 ) in the sub-acute phase. METHODS: Twenty-seven @entity1 underwent 24-h polysomnography and clinical evaluation 3.5  2months after @entity1545 . Their clinical outcome was assessed 18.5  9.9months later. Polysomnographic recordings were evaluated using visual and quantitative indexes. A general linear model was applied to identify features able to predict clinical outcome. Clinical status at follow-up was analysed as a function of the baseline clinical status, the interval between @entity1545 and follow-up evaluation, @entity1 age and gender, the aetiology of the injury, the lesion site, and @entity227 indexes. RESULTS: A better clinical outcome was predicted by a visual index indicating the presence of sleep integrity (p=0.0006), a better baseline clinical status (p=0.014), and younger age (p=0.031). Addition of the quantitative sleep index strengthened the prediction. CONCLUSIONS: More structured sleep emerged as a valuable predictor of a positive clinical outcome in sub-acute DOC @entity1 , even stronger than established predictors (e.g. age and baseline clinical condition). SIGNIFICANCE: Both @entity227 could be helpful in predicting clinical outcome in sub-acute @entity1662 .

The prognostic value of sleep patterns in XXXX in the sub-acute phase.

@entity1 :: ('9606', 'Species') :: ['patients', 'patient'] @entity1662 :: ('MESH:D003244', 'Disease') :: ['disorders of consciousness', 'DOCs'] @entity227 :: ('MESH:D014786', 'Disease') :: ['visual and quantitative sleep evaluation', 'visual and quantitative sleep'] @entity1545 :: ('MESH:D020214', 'Disease') :: ['brain injury']
@entity1662 :: (MESH:D003244,Disease) :: ['disorders of consciousness']
