until further notice
SourceJournal of Neurology, Neurosurgery, and Psychiatry, 81, 9, (2010), pp. 963-7
01 september 2010
Article / Letter to editor
Display more detailsDisplay less details
Journal of Neurology, Neurosurgery, and Psychiatry
SubjectDCN 2: Functional Neurogenomics; NCEBP 8: Psychological determinants of chronic illness
BACKGROUND: In myotonic dystrophy type 1 (DM1), sleep disorders are common, with excessive daytime sleepiness (EDS) as a predominant feature. In myotonic dystrophy type 2 (DM2), the presence of sleep disturbances is unknown. OBJECTIVE: To investigate the frequency of EDS, poor sleep quality and fatigue in DM2. METHODS: 29 genetically proven DM2 patients were surveyed using the Epworth Sleepiness Scale, Pittsburgh Sleep Quality Index (PSQI) and Checklist Individual Strength. The results were compared with 29 adult onset DM1 patients and 65 population controls, both matched for age and sex. RESULTS: Only 6.9% of DM2 patients had EDS compared with 44.8% of DM1 patients and 6.2% of population controls (DM2-DM1: p=0.001; DM2-controls: p=0.51). Sleep quality was poor (PSQI >5) in both DM2 and DM1 groups, and differed significantly from population controls (DM2 6.5+/-3.0; DM1 6.2+/-3.7; controls 4.3+/-3.0; DM2-controls: p=0.002). Poor sleep quality was not explained by depression or other comorbidity but was mainly due to sleep disturbances as a result of nocturnal pain. Comparable with the DM1 group, DM2 patients experienced severe fatigue (DM2 38.7+/-13.1; DM1 42.9+/-8.5; controls 21.1+/-11.1; DM2-controls: p<0.001). Results were not confounded by abnormal thyroid function or medication use. CONCLUSION: These results provide new insight into the phenotype of DM2 and have consequences for clinical treatment. In addition, the absence of EDS in DM2 is a new discriminative feature with adult onset DM1.
This item appears in the following Collection(s)
- Academic publications 
- Electronic publications 
- Faculty of Medical Sciences 
Upload full text
Use your RU credentials (u/z-number and password) to log in with SURFconext to upload a file for processing by the repository team.