Autonomic cardiac activity in adults with short and long sleep onset latency

Autonomic cardiac activity during sleep has been widely studied. Research has mostly focused on cardiac activity between different sleep stages and wakefulness as well as between normal and pathological sleep. This work investigates autonomic activity changes during sleep onset in healthy subjects with long and short sleep onset latency (SOL). Polysomnography (PSG) and electrocardiography (ECG) were simultaneously recorded in 186 healthy subjects during a single night. Autonomic activity was assessed based on frequency domain analysis of RR intervals and results show that the analysis of RR intervals differs significantly between the short SOL and the long SOL groups. We found that the spectral power in the low frequency band (LF) was significantly higher in the long SOL group compared to the short SOL group in the first 10 minutes in bed intended to sleep. There was no significant difference for LF and the spectral power in the high frequency band (HF) 10 minutes before and after sleep onset between the two groups. Only in the short SOL group there was a significant increase in HF from the first 10 minutes in bed intended to sleep to 10 minutes before SO, while LF decreased significantly in both groups. The effect of time (5.5-min bin) on the heart rate variability (HRV) features around sleep onset showed that both LF and HF differed significantly during the period surrounding sleep onset only in the short SOL group.

Intraindividual sleep variability and its association with insomnia identity and poor sleep

OBJECTIVE

Insomnia identity refers to the conviction that one has insomnia, which can occur independently of poor sleep. Night-to-night variability in sleep (termed intraindividual variability [IIV]) may contribute to insomnia identity yet remain undetected via conventional mean analyses. This study compared sleep IIV across four subgroups: noncomplaining good sleepers (NG), complaining poor sleepers (CP), complaining good sleepers (CG), and noncomplaining poor sleepers (NP).

METHODS

This study analyzed 14 days of sleep diary data from 723 adults. Participants were classified according to presence/absence of a sleep complaint and presence/absence of poor sleep. A 2 × 2 multivariate analysis of covariance (MANCOVA) was performed to explore differences on five measures of sleep IIV: intraindividual standard deviation in total sleep time (iSD TST), sleep onset latency (iSD SOL), wake after sleep onset (iSD WASO), number of nightly awakenings (iSD NWAK), and sleep efficiency (iSD SE).

RESULTS

MANCOVA revealed significant main effects of poor sleep, sleep complaint, and their interaction on sleep IIV. Poor sleepers exhibited greater IIV across all sleep parameters compared to good sleepers. Similarly, individuals with a sleep complaint exhibited greater IIV compared to individuals with no complaint. The interaction revealed that iSD SOL was significantly greater among CP than NP, and iSD NWAK was significantly greater among CG than NG.

CONCLUSIONS

Greater night-to-night variability in specific sleep parameters was present among complaining versus noncomplaining sleepers in good and poor sleep subgroups. These findings suggest certain aspects of sleep consistency may be salient for treatment-seeking individuals based on their quantitative sleep status.

The association between pain and sleep in fibromyalgia

OBJECTIVE

To clarify the association between pain and sleep in fibromyalgia.  Methods: Electronic databases, including PsycINFO, the Cochrane database for systematic reviews, PubMed, EMBASE, and Ovid were searched to identify eligible articles. Databases independently screened and  the quality of evidence using a reliable and valid quality assessment tool was assessed.  Results: In total, 16 quantitative studies fulfilled the inclusion criteria. According to the results, increased pain in fibromyalgia was associated with reduced sleep quality, efficiency, and duration and increased sleep disturbance and onset latency and total wake time. Remarkably, depressive symptoms were also related to both pain and sleep in patients with fibromyalgia.   Conclusion: Management strategies should be  developed to decrease pain while increasing sleep quality in patients with fibromyalgia. Future studies should also consider mood disorders and emotional dysfunction, as comorbid conditions could occur with both pain and sleep disorder in fibromyalgia.

Narcolepsy-cataplexy and psychosis: a case study

AIMS

To report a challenging patient a girl who developed narcolepsyy with cataplexy (NT1) and a psychosis during adolescence. To discuss diagnostic and therapeutic challenges of the comorbid cases.

CASE REPORT

A 14-year-old girl was referred to Sleep and Epilepsy Unit for excessive daytime sleepiness, impaired nocturnal sleep, binge eating and weight gain, over the last year. After being diagnosed with a NT1 the patient was treated with modafinil and sodium oxybate. She was hospitalized for psychotic symptoms after starting NT1 treatment. Withdrawal of the narcolepsy treatment and initiation of haloperidol 1 mg/day (the only antipsychotic treatment she could tolerate) improved the delusions, hallucinations and dysphoria but worsened the narcolepsy symptoms. Polysomnography showed fragmented nocturnal sleep and five sleep REM onset periods in MSLT. Positive HLA-QB1*06:02 and undetectable level of hypocretine in the cerebrospinal fluid were found. MRI and CT-scan were normal. Diagnostic Interview for Genetic Studies Adapted for Narcolepsy (DIGSAN) questionnaire confirmed that patient presented a dual diagnostic NT1 and psychotic symptoms. The last sleep follow-up while on psychopharmacological treatment, showed an increased sleep efficiency index. She currently has severe somnolence, obesity, and partial cataplectic attacks along with normal mood, academic failure and social isolation.

CONCLUSION

The coexistence of narcolepsy with psychoses is a rare clinical entity, more frequent in adolescents than in adults. The comorbidity of the two illnesses worsens clinical and therapeutic prognosis and also suggests interesting pathophysiological hypotheses.

[Evaluation and treatment of sleep problems in children diagnosed with attention deficit hyperactivity disorder: an update of the evidence]

INTRODUCTION

Attention deficit hyperactivity disorder (ADHD) affects approximately 5% of all children and adolescents, and these patients frequently suffer from sleep problems. The association between sleep disorders and ADHD, however, is multifaceted and complex.

AIMS

To explore the relationship between sleep disorders and ADHD.

DEVELOPMENT

Sleep problems in children with ADHD include altered sleep and specific disorders per se or that may be due to comorbid psychiatric disorders or to the stimulants they receive as treatment for their ADHD. Today, an evaluation of the sleep conditions in children with ADHD is recommended before starting pharmacological treatment. The first step in managing their sleep problems is good sleep hygiene and cognitive-behavioural psychotherapy. Another option is to consider modifying the dosage and formulation of the stimulants. Atomoxetine and melatonin are therapeutic alternatives for children with ADHD and more severe sleep problems. Specific treatments exist for respiratory and movement disorders during sleep.

CONCLUSIONS

It is important to evaluate sleep in children who present symptoms suggestive of ADHD, since problems during sleep can play a causal role or exacerbate the clinical features of ADHD. Correct evaluation and treatment of sleep disorders increase the family's and the child's quality of life and can lessen the severity of the symptoms of ADHD.