Shuangwu Liu 1 , Yan Huang 1 , Hongfei Tai 1 , Kang Zhang 1 , Zhili Wang 1 , Dongchao Shen 1 , Hanhui Fu 1 , Ning Su 1 , Jiayu Shi 1 , Qingyun Ding 1 , Mingsheng Liu 1 , Yuzhou Guan 1 , Jing Gao 1 , Liying Cui 2,3 . Show Affiliations »
Abstract
OBJECTIVE: To examine the frequency and clinical features of excessive daytime sleepiness (EDS) and its association with cognitive and behavioural impairments in patients with amyotrophic lateral sclerosis (ALS). METHODS: We conducted a cross-sectional investigation to explore the frequency and clinical features of EDS in a group of 121 Chinese patients with ALS compared with 121 age-matched and sex-matched healthy subjects. EDS was diagnosed using the Epworth Sleepiness Scale (ESS). Other characteristics of patients with ALS including sleep quality, REM sleep behaviour disorder (RBD), restless legs syndrome (RLS), cognition, behaviour, depression and anxiety were also evaluated. RESULTS: EDS was significantly more frequent in patients with ALS than in controls (26.4% vs 8.3%; p<0.05). Patients with ALS with EDS scored lower scores on the revised ALS Functional Rating Scale (ALSFRS-R), Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA) and MMSE and MoCA delayed memory subitems and higher on the Frontal Behavioural Inventory (FBI) than patients with ALS without EDS. ESS scores correlated with global ALSFRS-R, FBI, MMSE and MoCA scores and MMSE and MoCA delayed memory scores. RLS and global ALSFRS-R scores were independently associated with EDS in patients with ALS. CONCLUSIONS: We identified a high frequency of EDS symptoms in Chinese patients with ALS, and these patients might have more serious physical, cognitive and frontal behaviour impairment. Patients with ALS might improve quality of life from the timely recognition and optimised management of EDS symptoms. Our results further suggest that ALS is a heterogeneous disease that might exhibit abnormal sleep-wake patterns. © Author(s) (or their employer(s)) 2018. No commercial re-use. See rights and permissions. Published by BMJ.
OBJECTIVE: To examine the frequency and clinical features of excessive daytime sleepiness (EDS) and its association with cognitive and behavioural impairments in patients with amyotrophic lateral sclerosis (ALS ). METHODS: We conducted a cross-sectional investigation to explore the frequency and clinical features of EDS in a group of 121 Chinese patients with ALS compared with 121 age-matched and sex-matched healthy subjects. EDS was diagnosed using the Epworth Sleepiness Scale (ESS). Other characteristics of patients with ALS including sleep quality, REM sleep behaviour disorder (RBD), restless legs syndrome (RLS), cognition, behaviour, depression and anxiety were also evaluated. RESULTS: EDS was significantly more frequent in patients with ALS than in controls (26.4% vs 8.3%; p<0.05). Patients with ALS with EDS scored lower scores on the revised ALS Functional Rating Scale (ALSFRS-R), Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment (MoCA) and MMSE and MoCA delayed memory subitems and higher on the Frontal Behavioural Inventory (FBI) than patients with ALS without EDS. ESS scores correlated with global ALSFRS-R, FBI, MMSE and MoCA scores and MMSE and MoCA delayed memory scores. RLS and global ALSFRS-R scores were independently associated with EDS in patients with ALS . CONCLUSIONS: We identified a high frequency of EDS symptoms in Chinese patients with ALS , and these patients might have more serious physical, cognitive and frontal behaviour impairment . Patients with ALS might improve quality of life from the timely recognition and optimised management of EDS symptoms . Our results further suggest that ALS is a heterogeneous disease that might exhibit abnormal sleep-wake patterns. © Author(s) (or their employer(s)) 2018. No commercial re-use. See rights and permissions. Published by BMJ.
Entities: Disease
Species
Keywords:
amyotrophic lateral sclerosis; behaviour; cognition; excessive daytime sleepiness; sleep disorders
Mesh: See more »
Year: 2018
PMID: 30045943 DOI: 10.1136/jnnp-2018-318810
Source DB: PubMed Journal: J Neurol Neurosurg Psychiatry ISSN: 0022-3050 Impact factor: 10.154