Mood disorders are highly prevalent in patients investigated with a multiple sleep latency test.

PURPOSE: Excessive daytime sleepiness (EDS) is a debilitating symptom which occurs commonly in both primary sleep and mood disorders. The prevalence of mood disorders in patients with EDS, evaluated objectively with a mean sleep latency test (MSLT), has not been reported. We hypothesize that mood disorders are highly prevalent in patients being investigated for EDS. This study aims to report the prevalence of mood disorder in the MSLT population and investigate the association between mood disorder and objective and subjective scores of sleepiness. METHODS: A retrospective multicenter study of adults with a MSLT and Hospital Anxiety and Depression Score (HADS) identified over a 3-year period. The HADS is a validated questionnaire in detecting depression (HADS-D ≥ 8) and anxiety (HADS-A ≥ 11) in the sleep clinic population. Data collected included demographics, medical, and sleep study information. Mood disorder prevalence was compared to the general sleep clinic population. Correlation between measures of sleepiness and mood was performed. RESULTS: Two hundred twenty patients were included with mean age 41.1 ± 15.7 years, mean body mass index 28.6 kg/m2 of whom 30% had anxiety (HADS-A > 11) and 43% depression (HADS-D > 8). Mean results for the cohort are ESS 13.7, mean sleep latency 11.5 min, HADS-A 8.2, and HADS-D 7. There was no significant correlation between objective sleepiness, as measured by the mean sleep latency, and either HADS-A (-0.006, p = 0.93) or HADS-D score (0.002, p = 0.98). There was, however, a weak correlation between subjective sleepiness, as measured by the ESS, and the mean sleep latency (-0.25, p < 0.01), HADS-A (0.15, p = 0.03), and HADS-D (0.2, p = 0.004). There was no significant association between diagnosis of hypersomnia disorders and presence of anxiety (p = 0.71) or depression (p = 0.83). CONCLUSIONS: Mood disorders are highly prevalent in the MSLT population. There was a weak correlation found between subjective measures of sleepiness and mood disorders, but not between objective measures of sleepiness and mood disorders. Routine screening for mood disorders in patients with hypersomnolence should be considered.

Comparison of sleep disturbance in mild versus severe Parkinson's disease.

STUDY OBJECTIVES: To determine the effect of mild vs severe Parkinson's disease on objective sleep parameters, in a subgroup of patients with subjective excessive daytime somnolence. DESIGN: Patients with either mild (Hoehn and Yahr stage 1 or 2) or severe (Hoehn and Yahr stage 4 or 5) idiopathic Parkinson's disease and subjective evidence of sleepiness (Epworth sleepiness scale > 8) were recruited. All patients underwent overnight polysomnography autonomic function testing and completed questionnaires assessing quality of life, mood, and drug dosages. Mild and severe groups were then compared using the paired t-test for normally distributed data and the Mann-Whitney U test for nonparametric data. SETTING: Accredited sleep centre and neurosciences unit at tertiary referral centre. PATIENTS OR PARTICIPANTS: Parkinson's disease outpatients referred by their treating neurologist. INTERVENTIONS: N/A. RESULTS: 11 patients with mild disease and 7 with severe disease were studied. Both groups slept poorly when compared to historic normal controls. Their sleep efficiency was decreased, and the architecture fragmented. However, there was no significant difference in objective sleep parameters between the two groups. There was a significant increase in the number of voids overnight in the severe disease group (p< 0.05). CONCLUSIONS: In this subgroup of patients with subjective excessive day-time somnolence, the severity of Parkinson's disease was not associated with a change in the measured sleep parameters. Other factors, such as drug effects, may have played a greater role. Alternatively, motor/functional measures of disease severity may poorly reflect the level of sleep disturbance. Nocturia is an important factor which disturbs sleep, particularly in the severe disease group.

Treating obstructive sleep apnea with hypoglossal nerve stimulation.

BACKGROUND: Reduced upper airway muscle activity during sleep is fundamental to obstructive sleep apnea (OSA) pathogenesis. Hypoglossal nerve stimulation (HGNS) counteracts this problem, with potential to reduce OSA severity. STUDY OBJECTIVES: To examine safety and efficacy of a novel HGNS system (HGNS, Apnex Medical, Inc.) in treating OSA. PARTICIPANTS: Twenty-one patients, 67% male, age (mean ± SD) 53.6 ± 9.2 years, with moderate to severe OSA and unable to tolerate continuous positive airway pressure (CPAP). DESIGN: Each participant underwent surgical implantation of the HGNS system in a prospective single-arm interventional trial. OSA severity was defined by apnea-hypopnea index (AHI) during in-laboratory polysomnography (PSG) at baseline and 3 and 6 months post-implant. Therapy compliance was assessed by nightly hours of use. Symptoms were assessed using the Epworth Sleepiness Scale (ESS), Functional Outcomes of Sleep Questionnaire (FOSQ), Calgary Sleep Apnea Quality of Life Index (SAQLI), and the Beck Depression Inventory (BDI). RESULTS: HGNS was used on 89% ± 15% of nights (n = 21). On these nights, it was used for 5.8 ± 1.6 h per night. Nineteen of 21 participants had baseline and 6-month PSGs. There was a significant improvement (all P < 0.05) from baseline to 6 months in: AHI (43.1 ± 17.5 to 19.5 ± 16.7), ESS (12.1 ± 4.7 to 8.1 ± 4.4), FOSQ (14.4 ± 2.0 to 16.7 ± 2.2), SAQLI (3.2 ± 1.0 to 4.9 ± 1.3), and BDI (15.8 ± 9.0 to 9.7 ± 7.6). Two serious device-related adverse events occurred: an infection requiring device removal and a stimulation lead cuff dislodgement requiring replacement. CONCLUSIONS: HGNS demonstrated favorable safety, efficacy, and compliance. Participants experienced a significant decrease in OSA severity and OSA-associated symptoms. CLINICAL TRIAL INFORMATION: NAME: Australian Clinical Study of the Apnex Medical HGNS System to Treat Obstructive Sleep Apnea. REGISTRATION NUMBER: NCT01186926. URL: http://clinicaltrials.gov/ct2/show/NCT01186926.