Dario Arnaldi1, Michele Terzaghi2, Riccardo Cremascoli2, Fabrizio De Carli3, Giorgio Maggioni4, Caterina Pistarini4, Flavio Nobili5, Arrigo Moglia2, Raffaele Manni2. 1. Clinical Neurology, Dept. of Neuroscience (DINOGMI), University of Genoa, Italy. Electronic address: dario.arnaldi@gmail.com. 2. Sleep Medicine and Epilepsy Unit - C. Mondino National Neurological Institute, IRCCS, Pavia, Italy. 3. Institute of Bioimaging and Molecular Physiology, National Research Council, Genoa, Italy. 4. Neurorehabilitation Unit, IRCCS, S. Maugeri Foundation, Pavia, Italy. 5. Clinical Neurology, Dept. of Neuroscience (DINOGMI), University of Genoa, Italy.
Abstract
OBJECTIVE: This study aimed to evaluate, through polysomnographic analysis, the prognostic value of sleep patterns, compared to other prognostic factors, in patients with disorders of consciousness (DOCs) in the sub-acute phase. METHODS: Twenty-seven patients underwent 24-h polysomnography and clinical evaluation 3.5 ± 2 months after brain injury. Their clinical outcome was assessed 18.5 ± 9.9 months 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 brain injury and follow-up evaluation, patient age and gender, the aetiology of the injury, the lesion site, and visual and quantitative sleep 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 patients, even stronger than established predictors (e.g. age and baseline clinical condition). SIGNIFICANCE: Both visual and quantitative sleep evaluation could be helpful in predicting clinical outcome in sub-acute DOCs.
OBJECTIVE: This study aimed to evaluate, through polysomnographic analysis, the prognostic value of sleep patterns, compared to other prognostic factors, in patients with disorders of consciousness (DOCs) in the sub-acute phase. METHODS: Twenty-seven patients underwent 24-h polysomnography and clinical evaluation 3.5 ± 2 months after brain injury. Their clinical outcome was assessed 18.5 ± 9.9 months 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 brain injury and follow-up evaluation, patient age and gender, the aetiology of the injury, the lesion site, and visual and quantitative sleep 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 patients, even stronger than established predictors (e.g. age and baseline clinical condition). SIGNIFICANCE: Both visual and quantitative sleep evaluation could be helpful in predicting clinical outcome in sub-acute DOCs.
Authors: Betty Wutzl; Stefan M Golaszewski; Kenji Leibnitz; Patrick B Langthaler; Alexander B Kunz; Stefan Leis; Kerstin Schwenker; Aljoscha Thomschewski; Jürgen Bergmann; Eugen Trinka Journal: Brain Sci Date: 2021-05-25